Method for measuring messenger RNA

BACKGROUND OF THE INVENTION

2. Field of the Invention

This invention is related to a method for measuring messenger RNA (mRNA) and polynucleotide-immobilized supports useful in this method. Specifically, this invention is related to measuring methods and reagents in which various types of mRNA can be measured at the same time. In one embodiment of this invention, the mRNA need not be purified from the cell, and the mRNA can be rapidly quantified with high sensitivity.

2. Description of Previous Techniques

Previously well-known techniques for measuring mRNA levels include the Northern Blot Method (See, e.g., J. Sambrook, et al., Molecular Cloning, 2nd ed., Cold spring Harbor Laboratory Press, 1989 hereafter referred to as “Molecular Cloning”), the Dot Blot Method (See, e.g., Molecular Cloning), Ribonuclease Protection Assay (See, e.g., Molecular Cloning), and the Reverse PCR Method (H. A. Erlich (ed.), PCR Technology-Principles and Applications for DNA Amplification, Stockton Press, New York, N.Y., 1989). The disclosures of all of these previous references are hereby incorporated by reference.

The Northern Blot Method detects mRNA which is separated by molecular weight using electrophoresis. The separated molecules are immobilized on a membrane and mRNA levels are determined by hybridization of marker DNA probes. With this method, the molecular weight of the subject mRNA must generally be known. By using this method a complex between a labeled probe, mRNA and an insoluble membrane is formed. The amount of label in the complex at the appropriate site on the membrane is then measured colorimetrically or by radioactive emissions.

The Dot Blot Method detects mRNA by hybridization with a labeled probe after purified mRNA is immobilized as a spot on a membrane. This method can be used to rapidly examine many samples at one time. However, both the Dot Blot and the Northern Blot methods require the use of a specific labeled probe for each mRNA which is desired to be detected.

The Ribonuclease Protection Assay method is used to detect mRNA after it is initially purified. The purified mRNA is hybridized with a labeled RNA probe, and then treated with a ribonuclease that specifically digests single stranded RNA. The labeled RNA probe will form a duplex in the solution and be protected from digestion. This is then immobilized on a membrane after separation of the double-stranded RNA/probe complex.

The reverse PCR method is used where cDNA is synthesized using reverse transcriptase and purified mRNA. This cDNA can be immobilized to a membrane. The synthesized cDNA is then amplified using standard PCR (Polymerase Chain Reaction) methods. After separating cDNA according to its molecular weight by electrophoresis, it becomes a single band. The DNA is then immobilized on a membrane, and detected by hybridization with a labeled DNA probe. However, after PCR, no quantitative information remains due to the amplification of the original message.

All of the foregoing methods take extended periods of time to perform since the mRNA used must be in at least a partially purified form. Also, electrophoresis of the samples and immobilization to a membrane is necessary. Both of these steps reduce the reliability of quantification of the mRNA.

Thus, there remains a need to resolve the above problems, and to provide a method of measuring for rapidly determining messenger RNA levels and a measuring reagent useful in such a method.

SUMMARY OF THE INVENTION

In the mRNA assay methods of the present invention, a first and a second polynucleotide probe can be used. The inventors have discovered that immobilization of probes (a first polynucleotide) rather than samples, on a water-insoluble support can provide a basis for the rapid quantification of multiple unpurified samples containing mRNA. Applicants have provided an efficient method of identifying appropriate specific probes for this purpose. In preferred forms of the present invention, the first polynucleotide probe has a nucleotide sequence complementary to a region which is unique in the sample to the mRNA and does not bind other portions in the target mRNA. The inventors also discovered that a single kind of second polynucleotide probe can be used for simultaneous quantification of various mRNAs. However, any of a variety of probes that bind to a different region of the mRNA than the first probe can be used for this purpose. In this regard, the inventors have found that a second polynucleotide probe containing sequences complementary to a polyadenylic acid tail of mRNA can be used in such a simultaneous assay method. Based on these and other discoveries, the inventors established the present invention.

One embodiment of the present invention is a highly sensitive, quantitative and rapid method for detecting and quantifying mRNA in a sample without the need to purify mRNA from cells. In this embodiment of the invention, the method comprises the following steps:

(a) identifying a polynucleotide sequence that is unique to the mRNA;

(b) immobilizing a first polynucleotide to an insoluble support, the first polynucleotide having a first sequence complementary to the sequence unique to the mRNA;

(c) incubating the sample with the insoluble support under conditions wherein the unique sequence will hybridize with the first polynucleotide, thereby immobilizing mRNA present in the sample to the insoluble support;

(d) washing non-immobilized components of the sample from the insoluble support;

(e) labeling mRNA on the support in a manner that label is incorporated onto the support related to the amount of mRNA on the support; and

(f) measuring the amount of label immobilized on the support.

In a preferred embodiment, the above step of labeling mRNA on the support involves incubating a labeled probe, most preferably poly-d(T), with the insoluble support under conditions wherein the labeled probe will hybridize with mRNA on the support, and the labeled probe bears a label and is complementary to a part of the mRNA other than a part of the mRNA complementary to the first probe, thereby immobilizing to the insoluble support the label on the labeled probe which has hybridized with the mRNA; and thereafter washing any non-immobilized labeled probe from the insoluble support.

In addition, the above method of labeling nucleic acids in step (e) can preferably involve labeling the oligonucleotides with a nucleic acid stain, most preferably from the group consisting of ethidium bromide, yoyo-1 and toto-1.

In a further preferred embodiment, the above method can utilize a label, wherein the label comprises a radionuclide, or alternatively biotin. In the method using biotin, the incubation can preferably be with enzyme-conjugated streptavidin; followed by measurement of the amount of enzyme bound to the insoluble support. In this embodiment step (f) can additionally comprise adding streptavidin bound to alkaline phosphatase to the insoluble support.

In still another embodiment of the preferred method, the mRNA can code for a β receptor, and wherein the first polynucleotide comprises the sequence of SEQ ID NO:6. An alternative embodiment of the above method includes mRNA coding for the α subunit of Gs protein, wherein the first polynucleotide comprises a sequence complementary to a sequence selected from the group consisting of SEQ ID NO:1, 145-146, 209-212, 268-287, 705 and 708.

Yet another alternative mRNA sequence that can be used with the present invention method codes for the Gi-2 protein, wherein the first polynucleotide comprises a sequence complementary to a sequence selected from the group consisting of SEQ ID NO:703, 706, 142, 143, 187-197 and

238-253. The present method can also preferably involve the use mRNA coding for substance P receptor, wherein the first polynucleotide comprises the sequence of SEQ ID NO:

5.

mRNA encoding Gi-3 protein can also be used in the present method, wherein the first polynucleotide comprises a sequence complementary to a sequence selected from the group consisting of SEQ ID NO:704, 707, 144, 198-208 and 254-267. Still another embodiment of the above method can involve the mRNA coding for the Gi-1 protein, wherein the first polynucleotide comprises a sequence complementary to a sequence selected from the group consisting of SEQ ID NO:702, 705, 141, and 224-237. An even further preferred embodiment includes mRNA coding for G protein, wherein the first polynucleotide comprises a sequence complementary to a sequence selected from the group consisting of SEQ ID NO:700, 701, 139, 140, 148-159, 162-172, 176-186 and 3-4.

Most preferably, the first sequence hybridizes to a unique sequence of the mRNA and not to other polynucleotides present in the sample, and even more preferably, the sample comprises a cell lysate.

In an alternative preferred embodiment, the label in the above method can be measured by light emitted therefrom, and step (f) of the method comprises measuring the amount of light emitted by the label. The method of measuring the light can preferably involve; recording the amount of light on film; and measuring the exposure of this film using a densitometer. In addition, the light measurement can alternatively comprise adding ATTOPHOS and measuring fluorescence emitted using a fluorimeter.

The present invention method in step (a) above can advantageously include a computer program, with the computer program preferably involving use of an H-site model.

The H-site model of step (a) is preferably used to identify the first polynucleotide probe of the method by the steps of:

specifying a minimum melting temperature for the first nucleotide probe and the nucleotide sequence specific to the organism;

specifying a nucleation threshold that places a minimum value on the number of base pairs at any nucleation site;

determining the melting temperatures (T

m

) of the first nucleotide probe and the sequence specific to the organism at every possible hybridization point; and

selecting the nucleotide probe having the highest T

m

value.

The computerized method of identifying the first polynucleotide probe can preferably have the melting temperature determined by the formula;

T

m

=81.5−16.6(log[Na])−0.63% (formamide)+0.41(%(G+C))−600/N, wherein Log[Na] is the log function of the sodium concentration, 0.063%(formamide) is the concentration of formamide, %(G+C) is the percentage of matched GC base pairs, and N is the probe length.

Additionally the method of step (a) can be used to identify the second polynucleotide probe using the H-site computerized model by the steps of:

specifying a minimum melting temperature for the second nucleotide probe and the nucleotide sequence specific to the organism;

specifying a nucleation threshold that places a minimum value on the number of base pairs at any nucleation site;

determining the melting temperatures (T

m

) of the first nucleotide probe and the sequence specific to the organism at every possible hybridization point; and

selecting the nucleotide probe of the proper length having the lowest T

m

value.

A method of identifying the second nucleotide probe can involve determining the melting temperature by the formula:

T

m

=81.5−16.6(log[Na])−0.63%(formamide)+0.41(%(G+C))−600/N, wherein Log[Na] is the log function of the sodium concentration, 0.063%(formamide) is the concentration of formamide, %(G+C) is the percentage of matched GC base pairs, and N is the probe length.

A different embodiment of the present invention is a method of inhibiting RNase activity in a sample containing RNA in a buffer system containing SDS and EDTA, comprising adding vanadyl ribonucleoside complex to the sample. Preferably, there is at least a five-fold molar excess of EDTA over RNA in the sample and most preferably, the vanadyl ribonucleoside complex is added in combination with proteinase K. In an alternative preferred embodiment, the vanadyl ribonucleoside complex is added in combination with RNasin.

Yet another different embodiment of the present invention is a polynucleotide-immobilized support that is useful in detecting and quantifying the amount of β receptor mRNA in a sample, comprising:

an insoluble support;

a first polynucleotide bound to the support, the first polynucleotide comprising a sequence that is complimentary to a sequence unique to β receptor mRNA.

More preferably, the sequence unique to β receptor mRNA comprises a sequence selected from the group consisting of SEQ ID NO:6.

Still another preferred embodiment of the present invention is a polynucleotide-immobilized support that is useful in detecting and quantifying the amount of jun oncogene mRNA in a sample, comprising:

an insoluble support;

a first polynucleotide bound to the support, the first polynucleotide comprising a sequence that is complementary to a sequence unique to jun oncogene mRNA.

Preferably, the sequence unique to the jun oncogene mRNA comprises a sequence selected from the group consisting of SEQ ID NO:11-35, 39-53, 62-138, 310-342, 600-606, 614-620, and 628-634.

Another embodiment of the present invention is a polynucleotide-immobilized support that is useful in detecting and quantifying the amount of G protein mRNA in a sample, comprising:

an insoluble support;

a first polynucleotide bound to the support, the first polynucleotide comprising a sequence that is complementary to a sequence unique to G protein mRNA.

Preferably, the sequence unique to G protein mRNA comprises a sequence selected from the group consisting of 1, 2, 700-709, 139-159, 162-172 and 176-309.

Another preferred embodiment of the present invention is a polynucleotide-immobilized support that is useful in detecting and quantifying the amount of Substance P receptor mRNA in a sample, comprising:

an insoluble support;

a first polynucleotide bound to the support, the first polynucleotide comprising a sequence that is complementary to a sequence unique to Substance P receptor mRNA.

Preferably the sequence unique to Substance P receptor mRNA comprises the sequence of SEQ ID NO:5.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1

illustrates an immobilization procedure of a first polynucleotide probe onto an insoluble support by the maleimide method.

FIG. 2

illustrates an immobilization procedure of a first nucleotide probe onto an insoluble support by the carbodiimide method.

FIG. 3

schematically shows the principle of an mRNA quantification method in accordance with the present invention.

FIG.

4

(I) shows a photographic image of an X-ray film exposed to chemiluminescent light derived from the human β

2

adrenergic receptor cDNA probe on a Northern membrane, in which various concentrations of the human β

2

adrenergic receptor mRNA were immobilized. (II.A) shows a photographic image of an X-ray film exposed to chemiluminescent light derived from the oligo-(dT) probe in accordance with the present invention in which various concentrations of the human β

2

adrenergic receptor mRNA were trapped onto the first oligonucleotide-immobilized plastic plate. (II.B) shows a densitogram of the image shown in (II.A.). (II.C) graphically depicts the relationship between relative intensity of chemiluminescent signals and concentrations of mRNA of the image shown in (II.A).

FIG. 5

graphically depicts the linear relationship between relative intensity of chemiluminescent signals and concentrations of mRNA in a separate experiment from that shown in FIG.

4

.II.

FIG. 6

graphically depicts a calibration line for the rat Gs protein mRNA of the invented method.

FIG. 7

shows a photographic image of a polaroid film exposed to chemiluminescent light derived from oligo-(dT) probe by the invented method, in which Gi-2 and GS protein mRNA in various cells were trapped onto the first polynucleotide-immobilized plastic plate.

FIG. 8

shows a photographic image of an X-ray film exposed to chemiluminescent light derived from the Gi-2 and Gs protein cDNA probes on the Southern membrane, in which PCR-amplified G protein specific DNA from 4 different cell lines was immobilized.

FIG. 9

graphically depicts a calibration line for the human substance P receptor mRNA of the invented method.

FIG. 10

shows a gel showing the effect of various RNase inhibitors on mRNA preparations containing SDS and EDTA.

FIG. 11

shows a gel of five different G protein oligonucleotides amplified with the G

2

and G

4

PCR primers and also provides Southern blots using each of the five G protein sequences as a probe.

FIG. 12

shows a gel of samples containing varying amounts of each of five different G protein oligonucleotides (as indicated by number of “+” symbols) amplified with the G

2

and G

4

PCR primers and also provides Southern blots using each of the five G protein sequences as a probe.

FIG. 13

shows a gel of λZAP EDNA libraries from rate pituitary (P), kidney (K) and intestinatal (I) amplified with each of five different G protein primers, as indicated.

FIG. 14

shows a gel of 500 bp DNA from cDNAs of human IM9 and Jurkat cells amplified with G

2

and G

4

PCR primers.

FIG. 15

is a graph showing the relationship between YOYO-1 fluorescense and amount of immobilized oligonucleotide.

FIG. 16

is a graph showing the time course of YOYO-1 analysis.

FIG. 17

is a graph showing the dose response of YOYO-1 concentration.

FIG. 18

is a bar graph showing the reproducibility of YOYO-1 staining based on quantitation of immobilized oligonucleotides.

FIG. 19

exhibits a Polaroid picture of agarose gel electrophoresis of the PCR amplified ds-cDNA of jun oncogene from human peripheral blood leukocytes.

FIG. 20

is a simplified block diagram of a computer system illustrating the overall design of this invention;

FIGS. 21A-21C

show display screen representations of the main oligoprobe design station dialog windows of this invention;

FIG. 22

is a flow chart of the overall invention illustrating the program and the invention's sequence and structure;

FIG. 23

is a display screen representation of the Mitsuhashi probe selection diagram;

FIG. 24

is a display screen representation of the probeinfo and matchinfo window, wherein SEQ ID NO:343 is assigned to the first and second nucleotide sequences, and SEQ ID NOs:344 to 356 are assigned to the third nucleotide sequence to the last nucleotide sequence (from the top to the bottom), respectively;

FIG. 25

is a display screen representation of the probesedit window, wherein SEQ ID NOs:357, 357, 358, 359, 360, 361, 362, 363, and 363 are assigned to the first nucleotide sequence to the last nucleotide sequence (from the top to the bottom), respectively;

FIG. 26

is a printout of the probesedit output file;

FIG. 27

is a flow chart of the overall k_diff program of the Mismatch Model of this invention, including its sequence and structure;

FIG. 28

is a flow chart of the k_diff module of this invention;

FIG. 29

is a flow chart of the hashing module of this invention;

FIG. 30

is a flow chart of the tran module of this invention;

FIG. 31

is a flow chart of the let_dig module of this invention;

FIG. 32

is a flow chart of the update module of this invention;

FIG. 33

is a flow chart of the assembly module of this invention;

FIG. 34

is a flow chart of the seqload module of this invention;

FIG. 35

is a flow chart of the read1 module of this invention;

FIG. 36

is a flow chart of the dig_let module of this invention;

FIG. 37

is a flow chart of the q_colour module of this invention;

FIG. 38

is a flow chart of the hit_ext module of this invention;

FIG. 39

is a flow chart of the colour module of this invention;

FIG. 40

is the first page of a printcut of a sample file containing the output of the Mismatch Model program of this invention, wherein SEQ ID NOs:364 to 416 are assigned to the first nucleotide sequence (Position Length No. 1) to the last nucleotide sequence (Position Length No. 53), respectively;

FIG. 41

is a flow chart of the H-Site Model, stage I, covering the creation of a preprocessed preparation file of this invention;

FIG. 42

is a flow chart of the H-Site Model, stage II, covering the preparation of the target sequence(s);

FIG. 43

is a flow chart of the H-Site Model stage III, covering the calculation of MPSD data;

FIG. 44A

is the first page of a printout of a sample file containing output of Mismatch Model program, wherein SEQ ID NOs:364 to 416 are assigned to the first nucleotide sequence (Position Length No. 1) to the last nucleotide sequence (Position Length No. 53), respectively;

FIG. 44B

is the first page of a printout of a sample file containing output of H-Site Model program, wherein SEQ ID NOs:417 to 421 are assigned to the first nucleotide sequence to the last nucleotide sequence (from the top to bottom), respectively;

FIG. 45

is a flow chart of the processing used to create the Mitsuhashi probe selection diagram (MPSD);

FIG. 46

is a flow chart of processing used to create the matchinfo window;

FIG. 47

is a printout of a sample target species file, wherein SEQ ID NOs:422 is assigned to the nucleotide sequence;

FIG. 48

is a printout of a sample preparation file, wherein SEQ ID NOs:423 and 424 are assigned to the first and second nucleotide sequences on page 48, SEQ ID NOs:425 and 426 are assigned to the first and second nucleotide sequences on page 48(2), and SEQ ID NOs:427 and 428 are assigned to the first and second nucleotide sequences on page 48(3).

DETAILED DESCRIPTION OF THE INVENTION

Target mRNA

Previously, in order to genetically diagnose an infectious disease, procedures utilizing DNA were generally performed. Although, with DNA diagnosis, the existence of an external gene can be confirmed, it cannot be determined if the known gene is in an unexpressed carrier state or expressed in the diseased state.

In living organisms, once a gene is activated, the DNA coding for that gene is transcribed into mRNA, and the mRNA is subsequently translated into protein. Thus, the activation of the external gene can be determined by measuring the levels of mRNA.

Currently, to genetically diagnose a protein deficiency state, most experimenters have limited themselves to analysis at the DNA level. However, this method cannot be used to determine abnormalities of transcription or translation. If mRNA levels could be measured easily, the diseased state might be more precisely recognized. In a diseased state where mRNA cannot be detected, it can be said that there is a defect in transcription, while if normal levels of mRNA are detected, there is probably an abnormality in translation.

In addition, the amount of mRNA produced in the cell reflects the amount of expression of a gene, so it would be useful in the course of an abnormal condition, such as an illness or drug reaction, to examine mRNA levels. As discussed in greater detail below, measuring any of a large number of mRNAs can provide clinically useful information. Particular examples include mRNA for the β receptor, substance P, G protein and oncogenes, such as jun.

For the aforementioned reasons, the ability to measure mRNA would be useful for diagnosing and recognizing the pathophysiology of various disease states. This method would be especially useful for diagnosis of hereditary diseases, cancer, and infectious diseases.

A preferred target of this invention is mRNA of eukaryote cells which contain polyadenylic acid tail on their 3′-terminal end. Once the specific nucleotide sequence of the mRNA is known, virtually any mRNA can be measured using the methods of the present invention. Examples of such mRNAs are human G protein, human β

2

receptor, substance P, lymphocyte surface antigen, immunoglobulin, collagen, and adrenaline receptor.

Test Samples

Test samples containing target mRNA can be obtained from a variety of sources. Preferred sources include living samples or cell solutions which have been treated to inactivate ribonuclease (RNase) activity. Purification of mRNA for standard samples can be conducted according to the methods usually associated with Northern Blot procedures or Dot Blot procedures method. Kits for the purification of mRNA are commercially available.

A test sample can be prepared from a living sample by treatment with 10 mM of ethylenediaminetetraacetic acid (EDTA) (pH 8.0), 0.2 M NaCl, 0.5% of sodium dodecyl sulfate (SDS), 500 Unit/ml of RNase inhibitor, 10 mM of Vanadyl Ribonucleoside Complex and 200 μg/l of Proteinase K (hereafter called Lysis buffer) to lyse the cells and inhibit RNase activity. After lysis of the cells, NaCl concentration is adjusted to 0.5M.

In the methods of the present invention that involve probing samples containing RNA, or in any procedure in which it is desired to prevent the degradation of RNA, it is advantageous to inhibit the activity of any ribonucleases (RNases) which may be present. One Rnase inhibitor which can be used is Vanadyl Ribonucleoside Complex (VRC) (Bethesda Research Laboratories, Gaithersburg, Md.). VRC has been reported to be useful during cell fractionation and in the preparation of RNA, and has been shown not to interfere with the phenol extraction or ethanol precipitation of RNA. In addition, VRC does not affect other cytoplasmic components of cells. Therefore, VRC is an ideal inhibitor of RNase in many experimental procedures.

However, prior art procedures for inhibiting RNases with VRC taught that VRC should not be used in buffer systems containing EDTA or SDS, which are commonly used in the field of molecular biology. The reason for this prohibition was that it was believed that the Complex would dissociate in the presence of these buffers, leading to a loss of RNase inhibiting activity. In fact, the BRL insert accompanying the VRC product recommends that a five- to ten-fold molar excess of EDTA be added to an RNA solution containing VRC in order “destroy” the VRC prior to ethanol extraction of the RNA from the solution. The apparent inability to use VRC together with common buffers that include EDTA and SDS thus presented a major impediment to the exploitation of VRC as an RNase inhibitor.

We have discovered, however, that VRC is in fact an effective RNase inhibitor even in the presence of SDS and/or EDTA. Thus, VRC can be used in assays which use buffers including SDS or EDTA, where heretofore it was believed that VRC would not be effective in such systems. VRC is an effective RNase inhibitor at the concentrations of EDTA and SDS that are normally used when manipulating RNA or when performing a variety of other molecular biology techniques. For example, we have found that VRC effectively inhibits RNase in a buffer solution comprising approximately 1 mM EDTA. We also found VRC to be effective in 0.5% SDS solutions, and is believed to be effective in solutions ranging up to 2% SDS, more preferably up to 1% SDS. VRC can, of course, also be used in other solutions including EDTA and SDS.

We have found that VRC is a particularly potent inhibitor of RNases when used in combination with Proteinase K. Proteinase K is also available from BRL. As shown in the gel in

FIG. 10

, mRNA prepared from U937 cells (human macrophage cell line) was protected from RNase degradation by a combination of VRC and Proteinase K. Lane 1 of the gel shows the mRNA from a cell preparation which included VRC, Proteinase K, and RNasin, while lane 2 represents the mRNA from a cell preparation that included VRC and Proteinase K. RNasin is available from Promega of Madison, Wis. The distinct band 10 in lanes 1 and 2 matches the band seen in lane 7, which contains pure clonal cDNA from an RNase-free preparation of U937 cells, thus showing that the mRNA in the preparations of lanes 1 and 2 did not experience substantial mRNA degradation.

A comparison of lanes 1 and 2 with lanes 3-6 shows that VRC in combination with Proteinase K inhibits RNase activity in the above-mentioned mRNA preparation from U937 cells to a far greater extent than either Protein K alone (lane 4), Proteinase K in combination with RNasin (lane 3), or a commercial RNase-inhibiting preparation sold under the name “FastTrack” (available from In Vitrogen of San Diego, Calif.) (lane 5). None of lanes 3-5 exhibit the distinct band 10 representing undegraded mRNA. On the contrary, lane 4 (Proteinase K alone) and lane 5 (FastTrack) have the same smear of degraded mRNA as band 20 in lane 6 (no inhibitors). The gel shown in

FIG. 10

also shows the effectiveness of VRC in a buffer solution of 1 mM EDTA and 0.5% SDS, which is the buffer used in the U937 cell preparations tested, since lane 2 (VRC and Proteinase K) shows less mRNA degradation than lane 4 (Proteinase K alone) or lane 3 (Proteinase K and RNasin).

First Polynucleotide Probe

In the practice of the present invention, a first polynucleotide probe is bound to an insoluble support. This first polynucleotide is used to trap the target mRNA to a solid support. Thus, the first polynucleotide probe comprises a nucleotide sequences which can hybridize with a sequence of the mRNA that does not occur in other RNA in the sample. Such a sequence is referred to herein as a unique region of the mRNA. Preferably, the first polynucleotide probe does not bind to portions of the target mRNA other than the unique region.

A unique region can be identified by any of several methods. These include: (1) comparing the nucleotide sequence between several potential mRNAs and their target mRNAs; (2) getting a candidate sequence which can be compared with other nucleotide sequences; and (3) computer searching for nucleotide sequences which do not pair with the target mRNA. Information on various known mRNA sequences can be obtained from several genetic information databases.

The first polynucleotide probe is preferably an oligodeoxyribonucleotide (DNA) rather than an oligoribonucleotide (RNA) since DNA is more stable than RNA. The number of nucleotides is not restricted; however, if an oligodeoxyonucleotide is used as the first probe, a preferred length is 17-40 nucleotides. If a cDNA of target RNA is available, a part or the entire cDNA can be used as the first nucleotide probe. The first nucleotide probe can also be easily manufactured by using a DNA synthesizer or by a commercial manufacturer.

In this invention, the first nucleotide probe used is immobilized to an insoluble support. It may be chemically modified for immobilization, such as by adding an amino group onto the 5′-terminal or 3′-terminal of the polynucleotide.

Insoluble Support

In the practice of the present invention, the first nucleotide probe is immobilized to an insoluble support. The insoluble support can be any of a variety of insoluble materials, such as a plastic plate, membrane filter, microtiter plate or any other insoluble material to which polynucleotides can be attached. The insoluble support is preferably made of a material which can immobilize the first nucleotide probe by covalent bonds. For example, a plastic plate, such as polystyrene, which has a carboxyl group or amino group on the surface thereof can be used. Such plates are available commercially. However, procedures for introducing these residues are also well known in the art. One commercially available plastic plate which has carboxyl group, on its surface is Sumilon microtiter plate MS-3796F made by Sumitomo Bakelite. A plastic plate having an amino group on the surface is the Sumilon microtiter plate MS-3696F.

Immobilization of First Polynucleotide

In the practice of the present invention, the first polynucleotide probe is immobilized onto the insoluble support. Various methods of immobilizing polynucleotides to the insoluble support are available, including covalent binding, ionic binding, and the physical absorbance method. However, the covalent binding method is preferred. Thus, in certain embodiments of the present invention, the polynucleotides are immobilized to microtiter plates which exhibit functional groups, such as carboxyl residues, amine residues, or hydroxyl residues on the surface thereof.

In a preferred procedure for immobilization of the polynucleotide to an insoluble support exhibiting a functional group, the 5′-terminal end of the polynucleotide is covalently linked to the functional group. Any of a variety of methods for covalent binding of polynucleotides to these functional groups can be used. Examples of preferred well-known methods include the maleimide method and carbodiimide method.

The maleimide method, illustrated in.

FIG. 1

, involves the reaction between a substance containing a maleimide group and another material containing a sulfhydryl residue (SH). In order to attach the 5′ end of a polynucleotide to an immobilized support using the maleimide method, the 5′ end of the polynucleotide is reacted with a maleimide compound. A suitable maleimide compound is sulfosuccinimidyl-4-(N-maleimidomethyl) cyclohexane-1-carboxylate (sulfo-SMCC).

The SH residue is provided on the support by a reaction between a support having an amino group and succinimidyl-S-acetylthioacetate (SATA), followed by deacetylation using hydroxylamine (NH

2

OH). (Sulfo-SMCC and SATA are readily available from a variety of commercial sources, including the Pierce Company.) The resulting SH group on the support can then react with the maleimide group on the 5′ end of the polynucleotide to form a polynucleotide-immobilized support. One problem we have experienced in the use of the maleimide method is that the SH group on the plate can react not only with an amino group at the 5′ end of the polynucleotide, but can also react with primary amino groups on the purine bases, adenine and guanine. In order to assure that the polynucleotides are immobilized at their 5′ ends, the amino groups on the purine bases can be protected by pairing the polynucleotide to a complementary polynucleotide prior to immobilization. After immobilization, the complementary polynucleotide can be removed through denaturation, such as through heating.

The carbodiimide method is illustrated in FIG.

2

. This method involves a reaction between an amino group and a material containing a carboxyl residue using a carbodiimide compound. An example of a carbodiimide compound is 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride (hereafter called EDC). This reaction can be enhanced with N-hydroxysulfosuccinimide (hereafter called Sulfo-NHS). Both EDC and Sulfo-NHS are available from well known commercial sources, including the Pierce Company.

In the practice of a preferred carbodiimide method for attaching polynucleotides to a support, a support having a carboxyl residue attached is used. EDC is activated by reaction with Sulfo-NHS. This activated EDC is reacted with support containing surface-bound carboxyl residues. This can then be reacted with polynucleotides having an amino group at their 5′-terminal ends, resulting in a polynucleotide-immobilized support.

In order to assure that the polynucleotides are immobilized at their 5′ end, primary amino groups on adenyl, guanyl and cytosyl groups can be protected by hybridizing the nucleotide to a complementary polynucleotide prior to immobilization. After immobilization, the complementary polynucleotide can be removed through denaturation, such as through heating.

We have found that non-specific binding of activated amino or carboxyl residues on insoluble supports can be effectively reduced or eliminated by treating the plates to which polynucleotides have been immobilized with a primary amine compound, preferably glycine.

Second Polynucleotide Probe

The second nucleotide probe contains sequences which can also hybridize to target mRNA that is trapped by the first bound nucleotide sequence. Preferably, the second polynucleotide probe hybridizes to a different portion of the target mRNA than does the first polynucleotide probe. In an especially preferred embodiment, the second nucleotide probe consists of nucleotides which are complementary to the polyadenylic acid tail of the target mRNA. The second nucleotide probe is also preferably DNA rather than RNA due to the higher stability of DNA. The number of nucleotides is not limited; however, a polynucleotide of 15-40 nucleotides is preferable. Thus a poly (dT) sequence of 15-40 nucleotides is a preferred second polynucleotide probe. Such a second polynucleotide probe would serve as a universal second probe for virtually any target mRNA from eukaryotic cells. However, if a cDNA to the target RNA is available, a part or all of this cDNA can also function as a second polynucleotide probe. The second nucleotide probe can also be easily manufactured by a DNA synthesizer or commercial manufacturer.

The second polynucleotide probe is preferably labeled in order to easily detect its presence. A variety of chemical substances are available which can label the target substance. For example, a variety of radionuclides can be used, such as the radioisotopes

32

P,

35

S,

3

H, and

125

I. Enzymes can also be used to label the second polynucleotide probes. Suitable enzymes include alkaline phosphatase, luciferase, and peroxidase. Other labels might be chemical compounds such as biotin, avidin, streptavidin, and digoxigenin. Labels which provide a colorimetric indication or a radionuclide are preferred. In a preferred embodiment, biotin is attached to the nucleotide probe, followed by an avidin, such as streptavidin, conjugated to an enzyme such as alkaline phosphatase. The presence of the enzyme can be detected by various substrates, such as ATTOPHOS which provides a flourescent marker that can be detected through fluorimetry.

In certain embodiments, part or all of the labeling compound is substituted with part or all of the second nucleotide probe. Techniques for substituting portions of polynucleotides are well known for a variety of labels and kits are commercially available for many of these. For example, one can use a DNA 3′-end Labeling Kit or oligo-deoxythymidylic acid to label the probe.

Nucleic acid can also be “labeled” by staining with a nucleic acid stain. Thus, where a relatively large amount of nucleic acid is present, ethidium bromid (EtBr) can be used to identify the presence of nucleic acid. This is useful within the context of the present invention, for example, if mRNA has hybridized to a short immobilized anti-sense probe then substantially more nucleic acid will be immobilized than if no mRNa had hybridized. However, more sensitive stains are more preferable. Such more sensitive stains include the various cyanine nucleic acid stains, such as POPO, BOBO, YOYO and TOTO available from Moecular Probes (California). These stains are described, e.g., in

Science

, 257:885 (1992). Particularly preferred stains for use in the context of the present invention include the shorter wavelength forms, TOTO-1 and YOYO-1, still more preferably YOYO-1. As little as four picograms of stained DNA can be detected by visible fluorescence upon stimulation with a transilluminator or hand-held UV lamp. Thus, these stains provide a particularly easy and sensitive method of identifying the presence of nucleic acids.

We tested the ability of YOYO-1 to stain oligonucleotides immobilized to wells as discussed herein. We first immobilized various known amounts of oligonucleotides to wells and washed to remove non-immobilized oligonucleotides. We then added 1:1000 dilution of YOYO-1 in water. We then used a fluorimeter directly without washing. The relation between pmoles of oligonucleotide is shown in

FIG. 15

with open circles. We also incubated the TOTO-1 stained immobilized oligonucleotides for ten minutes, washed and added water, followed by use of the fluorimeter. The washed results are shown in dark circles in FIG.

15

. It can be seen that washing does not signicantly effect the amount of staining and that the amount of staining is related to the amount of oligonucleotide.

We also tested the time course of YOYO-1 staining over the course of one hour. We included a control in which no oligonucleotide was immobilized to the plate. The oligonucleotide-immobilized plate is shown iri open circles in FIG.

16

and the control in dark circles in that Figure. It can be seen from

FIG. 16

that after an initial spike, relatively constant staining is found.

We further tested the dose response of constant amounts of oligonucleotides with oligonucleotides immobilized in wells (open circles in

FIG. 17

) and control wells with no oligonucleotide (closed circles in FIG.

17

). The difference between the immobilized and non-immobilized is shown in

FIG. 17

as triangles. It can be seen that a sharp increase in fluorescence occurs between 10

−4

and 10

−3

dilution.

We also tested the reproducability of staining of both oligonucleotide-immobilized wells and non-immobilized wells. We repeated the experiment five times and graphically depicted the data for both oligonucleotide immobilized (+) and non-immobilized (−) wells in FIG.

18

. It can be seen that the data was substantially similar for each experiment.

Thus, the data depicted in

FIGS. 15-18

shows that use of YOYO-1 as a staining agent provides a reliable indication of the amount of oligonucleotide present.

Application or Sample

In the preferred methods of the present invention, a sample containing mRNA is applied to the insoluble support to which the first polynucleotide probe has been bound. Any target mRNA found in the sample is allowed to hybridize with the first polynucleotide probe. This can be accomplished by incubation at temperature dependent on a variety of factors, as is well known to those with ordinary skill in the art. These factors include the length of complementary nucleotide sequences, the ratio of Guanine or Cytosine (GC contents) within the entire base content in the complementary nucleotide sequences, NaCl concentration in buffer, the number of bases which mismatch in the complementary nucleotide sequence, and the type of nucleotide. In a preferred form of this invention, the following equation can be used to calculate the preferred incubation temperature:

T

inc.

=16.6×log (M)+0.41 (GC)+81.5−675/n−15 (° C.).

In the equation shown above, M is the NaCl concentration (M) in solution, GC represents GC contents (%), n represents the length of nucleotide sequences (the number of nucleotides).

The incubation time can also be determined according to methods described in the Molecular Cloning manual.

The time for incubation is preferably from 1 hour to overnight, and the sample should preferably be gently swung during incubation. Incubation is preferably performed in an appropriate buffer solution. The same buffer used to hybridize RNA and DNA in the Northern Blot or the Dot Blot Methods can be used. The buffer is preferably prepared in a way so as not to contaminate it with RNase. If any RNase contamination is present, the activation thereof should be controlled to be as low as possible. RNase-free buffers are commercially available, such as within mRNA purification kits or lysis buffer as shown before.

In order to eliminate RNase activity from water used in the methods of this invention, the water is preferably treated with Diethylpyrocarbonate (DEPC). The preferred DEPC treatment involves addition of 0.1% DEPC to the water, followed by storage overnight at 37° C. and sterilization in an autoclave.

Washing Procedures

Preferably, after incubation, unbound components of the sample are washed from the insoluble support. Appropriate solutions for washing include the lysis buffer as shown before or the buffer included in the mRNA purification kit.

Application of Second Polynucleotide Probe

The second polynucleotide probe is applied to the insoluble support after any washing of unbound components of the sample, under conditions as described above in connection with the hybridization of mRNA in the sample with the first nucleotide probe. This is preferably followed by washing, as described above.

Quantitation

The amount of mRNA in the sample is quantitated by measuring the amount of second polynucleotide probe bound to the insoluble support after application thereto in accordance with the present invention. In this regard, a physical or chemical quantity or activity of the label on the second polynucleotide can be measured by several techniques, including optical density, emitted-light intensity, or radiation. The label itself can provide this indication or can require other compounds which bind thereto or catalyze the label. Other mechanisms for detecting label include the use of compounds that can chemically react against the label, detection of colored label, detection of light emission, detection of radiation or of catalytic ability.

In a preferred measurement technique, the label on the second polynucleotide is biotin. The presence of this label can be detected by reaction with the enzymes Peroxidase or Alkaline phosphatase. These enzymes can be specifically directed to biotin by conjugation with avidin or streptavidin. The presence of the enzymes is then detected by addition of an appropriate substrate to provide a detectable color-developing or light-emitting reaction. The alkaline phosphatase labeled streptavidin can be readily obtained from the commercial market. A preferred substrate for alkaline phosphatase is adamantyl-1,2-dioxetane phosphate (AMPPD). Upon reaction with the alkaline phosphatase, AMPPD will emit light at a wavelength of 447 nm. This light can be detected in accordance with techniques known in the art.

In the reaction between alkaline phosphatase and AMPPD, an enhancer such as 5-N-tetradecanoyl-amino-fluorescein can be added. 5-N-tetradecanoyl-amino-fluorescein has the ability to convert light of 477 nm wavelength to 530 nm wavelength which is more readily detectable.

Other preferred labels include an antigen, such as digoxigenin or an antibody. An antigen can be detected by its ability to bind to an antibody directed thereto. Such antibodies, or an antibody directly used to label the second polynucleotide probe, can be detected by their ability to bind protein A. The antibody itself can be labeled directly with a radionuclide, such as

125

I, or can be labeled by binding thereto of protein A labeled with the radionuclide. The radionuclide can then be detected in accordance with techniques well known in the art.

Well-known techniques for the detection of label include the detection of label which appears by a color-developing reaction by a spectrophotometer. Other such techniques include the detection of a light emitting reaction using X-ray film or an instant camera, and the detection of raditation using a radiation counter.

The emission reactions are recorded by X-ray film or instant camera film in the dark room. The X-ray film which is exposed by emission reactions are recorded as a blot, so this shading of the blot can be measured by a densitometer. If one uses an instant camera such as a Polaroid, the picture is read by a scanner to decide the location of the blot on the computer, measuring the shading of the blot using graphic analysis software.

To measure the amount of target mRNA in an unknown sample solution, an arithmetic plot for showing the relationship between a standard solution of target mRNA and relative concentration in a blot can be used. The standard solution for target mRNA need not be purified target mRNA. Thus, the standards can also be a mixture in which the amount of target mRNA is known.

Schematic Example

A schematic representation of an exemplary method in accordance with the present invention is shown in FIG.

3

. The target mRNA 1 is shown having a polyadenylic acid tail 2. The first nucleotide probe 3 is immobilized to an insoluble support 4, then mixed the target mRNA 1. The target mRNA 1 hybridizes with the first nucleotide probe 3, thereby immobilizing the target mRNA to the insoluble support. Then, a second nucleotide probe 5 which bears a label 6 hybridizes with a portion of the target mRNA other than the portion hybridized with the first nucleotide probe. As shown, the second nucleotide probe 5 comprises poly (dT) and hybridizes with the polyadenylic acid tail 2 of the target mRNA 1. The resulting complex 7 can then be identified by detecting the presence of the label 6.

Time-Savings of Invention

Advantageously, the present invention provides a method of measuring mRNA which can be performed in far less time than previously known methods. Table 1 hereinbelow compares the time needed to measure DNA using the method of this invention and a Northern blot method.

TABLE 1

Comparison For Measurement Of mRNA

Time

Time

Present Invention

(hours)

Northern Blot Method

(hours)

Lysis of Cell

1

Purification of mRNA

48

Hybridization of the

1

Separation of mRNA

1

first nucleotide probe

by electrophoresis

to mRNA

with Agarose Gel

denaturing of mRNA

1

moving the mRNA to

membrane

immobilization of mRNA

2

to membrane

hybridization of the

1

hybridization of the mRNA

12

second nucleotide probe

and probe

to mRNA

1

washing and blocking

0.2

washing and blocking

4

detection

1

detection

1

Total

about 5 hours

about 70 hours

As shown in Table 1, the methods of this invention generally take 5 hours or less to complete, while the Northern blot method generally requires about 70 hours. These times do not include the labeling time (about 12 hours) of the nucleotide probes nor the time for immobilization of the first nucleolide probe because these constructs can be prepared prior to the measurement.

Particular examples of target mRNi that can be measured to obtain clinically useful information are provided below. The examples included herein are intended to illustrate certain preferred embodiments of the present invention. These examples are not intended to limit the invention in any manner.

β Receptor

A potential target for using mRNA measurement to determine a diseased state utilizes the mRNA for the β receptor. The β receptor is a protein located in human nerve tissue. In particular, abnormalities in the β

2

receptor has been found to be closely correlated with asthma. Thus, measuring the mRNA for β

2

receptor can be used to determine the pathophysiology of asthma patients, and could also be used to assess the effectiveness of anti-asthma agents.

EXAMPLE 1

Measurement of Human β

2

Receptor mRNA

(Preparation of Calibration Line)

(1) Preparation of the First Nucleotide Probe

An oligodeoxyribonucleotide probe containing the nucleotide sequence shown below with an amino group attached to its 5′ end was synthesized by Genosys, Inc. (TX). In this sequence, A, C, G and T indicate adenine, cytosine, guanine, and thymine, respectively. Based on computer analysis (DNASIS, Hitachi Software Engineering America, Ltd., CA), this sequence was determined to be homologous to the human β

2

adrenergic receptor mRNA.

5′-NH

2

-ATG CTG GCC GTG ACG CAC AGC A-3′ (Seq ID NO: 6)

(2) Immobilization of the First Nucleotide Probe Onto Insoluble Supports

Both EDC and sulfo-NHS (Pierce, IL) were dissolved in DEPC-treated water at concentrations of 20 mM and 10 mM, respectively. EDC/Sulfo-NHS solution was then prepared by mixing equal volumes of both EDC and sulfo-NHS. The first nucleotide probe was dissolved in DEPC-treated water at a concentration of 1 μg/μl and then mixed with the EDC/Sulfo-NHS solution in the ration 1:25 (Vol:Vol).

50 μl of this probe solution was added to each well of a microtiter plate (MS-3796F, Sumitomo Bakelite, JAPAN), which were known to express carboxyl groups on their surface. After incubation at room temperature overnight, the reaction solution was removed by aspiration.

(3) Preparation of mRNA

DNA plasmid pUC18 containing the human β

2

adrenergic receptor cDNA (pTF, American Type Culture Collection) was digested with PstI and EcoRI, and mixed with the pBC phagemid (Stratagene, CA) which had been predigested with the same restriction enzymes. The resultant plasmid was linearized by PstI, extracted once with phenolchloroform, precipitated in ethanol, and used to transcribe the human β

2

receptor mRNA using the Riboprobe system and T7 RNA polymerase (Promega, WI). The transcribed human β

2

receptor mRNA was treated with RNase-free DNase to digest the remaining template cDNA, then purified with one cycle of phenol extraction and ethanol precipitation. The resultant mRNA showed up as a single band on agarose (FMC bioproducts, ME) gel electrophoresis. Messenger RNA concentration was measured by a spectrophotometer at 260 and 280 nm against standard mRNA solutions prepared at concentrations of 25 pg, 250 pg, 2.5 ng, 25 ng and 250 ng, respectively.

(4) Hybridization of the First Nucleotidle Probe to mRNA

In order to remove RNase from the well, the first nucleotide probe-immobilized wells were treated with 250 μl of lysis buffer containing 0.5 M NaCl at 45° C. for one hour. The buffer was removed from individual wells by aspiration, and 50 μl of lysis buffer containing varying concentrations of standard human β

2

receptor mRNA was added into each well. These solutions were incubated at 59° C. for one hour to allow hybridization.

(5) Preparation of the Second Nucleotide Probe

The second nucleotide probe was a 15-mer oligo(dT) labeled with biotin at the 5′ end.

(6) Hybridization of the Labeled Second Nucleotide Probe to the Poly(A) Tail of mRNA

After hybridization of the first nuclectide probe and mRNA described in step (4), the hybridization solution was removed by aspiration and the individual wells were washed with 250 μl of lysis buffer. Fifty μl of lysis buffer containing 0.5 M NaCl and 1 μl of the biotinylated second probe solution (35 pmol/μl) was added into each well, and incubated at room temperature for an additional one hour.

(7) Measurement of Chemical Activities of the Labeled Second Nucleotide Probe

Following the hybridization described in step (6), the hybridization solution was removed by aspiration and wells were washed once with 250 μl of lysis buffer. A blocking buffer consisting of (0.05%(w/v) Tween 20, 500 mM NaCl, 100 mM Tris-HCl, pH 7.5) was added into each well and incubated at room temperature for five minutes to reduced nonspecific binding. Reaction solutions were then removed by aspiration, 50 μl of blocking solution containing 1/5000 vol. of alkaline phosphatase-conjugated streptavidin solution (Clontech, CA) was added into each well, and incubated at room temperature for 30 minutes. Each well was then washed with 250 μl of washing buffer containing 500 mM NaCl, 100 mM Tris-HCl, pH 7.5, and 50 μl of Lumiphos 530 solution (Boehringer-Mannheim, IN) whole plates were placed on X-ray film (XAR5, Kodak, NY) in specific holders (MYC, Kodak, NY). X-ray film was exposed to a generated chemiluminescent light at room temperature for one hour, and then developed using a film processor (QX-400, Konica, Japan). Relative intensities of individual wells on X-ray films were quantified by densitometry (model 620, Bio-Rad, CA).

(8) Results

The results of Example 1 are shown in FIG.

4

. The inset (A) shows results of an X-ray film exposed to chemiluminescent light during the detection of mRNAs by the invented method; (B) shows a densitographic representation of the same image as in (A): (C) exemplifies a calibration line of the mRNA in which the X-axis represents concentrations of mRNA and the Y-axis represents the relative intensity of chemiluminescence in an individual well. Wells 1, 2, 3, 4 and 5 of

FIG. 4

correspond to the amounts of tested mRNA at 25 pg, 250 pg, 2.5 ng, 25 ng and 250 ng, respectively. As shown in (A), mRNAs were detected in amounts over 25 pg by the invented method. The calibration line shown in (C) shows the high linearity of signal when increasing concentrations from 25 pg to 250 ng of mRNA.

COMPARISON 1

Quantification of mRNA by Northern Blot

(1) Agarose Gel Electrophoresis of mRNA

Ten mM of sodium phosphate buffer, pH 7.0 containing 0.1% DEPC was heated to 37° C. overnight and autoclaved. A 1% agarose solution was prepared using this 10 mM DEPC-treated phosphate buffer. The solution was chilled to ca. 50° C., and iodine acetate was added to 0.2% (W/V). A gel slab was formed (6.5 cm×10 cm) with combs and placed at room temperature for one hour to allow hardening. Five μl of DEPC-treated water containing 250 ng, 25 ng, 2.5 ng, 250 pg or 25 pg of mRNA described in example 1.(3), were mixed with 7 μl of loading buffer (125 μl DMSO, 42 μl 40% glyoxal, 3 μl 1 M sodium phosphate buffer, pH 7.0), and incubated at 50° C. for one hour. Samples were applied to the gel, and electrophoresed in a solution of DEPC-treated 10 mM phosphate buffer at constant 6V/cm for 15 minutes without circulation. An additional one hour of electrophoresis was performed with circulation.

Following electrophoresis, gels were immersed in 50 mM sodium hydroxide containing 0.5 μg/ml ethidium bromide (Sigma, MO.) for 20 minutes, and 0.1 M Tris-HCl buffer, pH 7.5 for 40 minutes. Gels were then transferred into fresh 0.1 M Tris-HCl buffer and photographed under UV light.

(2) Northern Transfer of mRNA Onto Membranes

Filter paper (3 MM Chr, Whatman, N.J.) and a nylon membrane (Magnagraph, Micron Separations, MA) were immersed in sterile water for 20 minutes and then placed in 10×SSPE (1.5 M NaCl, 115 mM sodium phosphate, 11.5 mM EDTA in water, pH 7.4 adjusted with 10 N NaOH). A blotting sponge (Stratagen, CA) was also immersed in 10×SSPE. The 3 MM filter, nylon membrane, agarose gel, and sponge were assembled from the bottom in a Posi-blot Pressure blotter (Staratagen, CA), to cause the mRNA to transferred onto the nylon membrane by positive pressure (835 mmHg for 45 minutes). The nylon membrane was dried, and the mRNA was permanently immobilized onto the nylon membrane by UV light cross linkage at 120 mjoules (Stratalinker 1800, Stratagen, CA).

(3) Preparation of Biotinylated cDNA Probe

DNA probes were prepared from β

2

receptor cDNA by using a DNA labeling kit resultant plasmid and cDNA were separated by agarose gel electrophoresis. A band of β

2

receptor cDNA was cut out and removed from the gel using the Gene clean kit (Bio 101, CA). 0.1 μg of above cDNA dissolyed in 5 μl of water was incubated at 95° C. for 10 minutes, and then incubated with 2 μl of hexanucleotide mixture, 2 μl of dNTP and 1 μl of Klenow enzyme (DNA labeling kit, Boehringer-Mannheim, IN) at 37° C. for one hour. Following incubation, the reaction was terminated by addition of 2 μl of 0.2 M EDTA, pH 8.0, 2.5 μl of 4.0 M LiCl and 75 μl of 100% ethanol, and cooled at −70° C. for 30 minutes to precipitate cDNA. After centrifugation, the pellet was washed once with 70% ethanol and then dissolved in 50 μl of water.

(4) Hybridization of Biotinylated cDNA Probe to mRNA

The mRNA containing membranes were incubated in hybridization buffer containing 0.5 M NaCl (ECL, Amersham, IL.) at 45° C. for one hour. Biotinylated cDNA probe described above were first heat denatured at 95° C. for 10 minutes, immediately cooled on ice, and then added to the hybridization buffer. Hybridization was continued at 40° C. overnight.

(5) Chemical Activity Measurements of Labeled cDNA Probe

After hybridization, membranes were washed twice in 0.5×SSPE solution containing 36% (W/V) urea, 0.4% (W/V) SDS and 0.5 M NaCl at 65° C. for 15 minutes each, followed by washing twice in 2×SSPE with 0.5 M NaCl at room temperature for five minutes each. Membranes were then incubated with 100 mM Tris-HCl buffer, pH 7.0, containing 2% blocking reagent (Boehringer-Mannheim, IN) and 150 mM NaCl at room temperature for three hours. 1/5000 vol. of alkaline phosphatase-conjugated streptavidin (Clontech, CA) was added to the above solution and incubated at room temperature 30 minutes. Membranes were washed twice with 100 mM Tris-HCl pH 7.0, containing 150 mM NaCl at room temperature for 30 minutes each followed by one washing with alkaline phosphate buffer (100 mM NaCl, 5 mM MgCl

2

in Tris-HCl buffer, pH 9.5) at room temperature for 2 minutes. Membranes were then soaked in Lumi-Phos 530 (Boehringer-Mannheim, IN), and quickly placed between two sheets of transparent plastic film. Chemiluminescent membrane signals were exposed to X-ray film (XAR5, Kodak, NY) in specific holders (MYC, Kodak, NY) at room temperature for one hour.

(6) Results

The Northern blot results of Comparison 1 are shown in FIG.

4

(I), in which the chemiluminescent signals of mRNA were exposed to an X-ray film. Lanes 1, 2, 3, 4, and 5 of FIG.

4

(I) correspond to 25 pg, 250 pg, 2.5 ng, 25 ng and 250 ng of applied mRNA, respectively. Because this cDNA probe is approximately 100 fold larger than the oligonucleotide probe used in Example 1, the amount of incorporated biotin is also 100 fold more than the oligonucleotide. This result indicates that the cDNA probes used in Comparison 1 are approximately 100 fold more sensitive than the oligonucleotide probe. However, as seen in FIG.

4

(I), a conventional Northern blot can only detect samples containing greater than 25 ng of mRNA. This is far less sensitive than the invented method as exemplified by FIG.

4

(I). Also, the invention as described by FIG.

8

(I) used less sensitive oligonucleotide probes when compared to the cDNA probes used on the Northern Blot.

EXAMPLE 2

Detection of Human β

2

Receptor mRNA from Unknown Samples and Evaluation of Reproducibility

(1) Preparation of the First Nucleotide Probe and its Immobilization onto the Insoluble Support

The first nucleotide probe was prepared and immobilized onto an insoluble support as described in Example 1.

(2) Preparation of Standard mRNA

mRNA was prepared as described in Example 1.

(3) Preparation of Cell Lysates

Human HL60 promyelocytic leukemia cells were collected by centrifugation, washed with PBS (8 g NaCl, 0.2 g KCl, 1.44 g Na

2

HP

4

and 0.24 g KH

2

PO

4

in 1 liter of water, pH 7.4). Cells were then resuspended in lysis buffer at a concentration of 1×10

7

cells/ml. The solution was repeatedly passed through a sterile plastic syringe fitted with a 21 gauge needle and incubated in a slow-shaking waterbath at 45° C. for one hour.

(4) Hybridization and Chemiluminescerit Detection

As described in Example 1, hybridization of the first nucleotide probe, preparation of the second nucleotide probe, hybridization of the labeled second nucleotide probe to the poly(A) tail of mRNA, and chemical activity measurement of the labeled second nucleotide probe was carried out.

(5) Preparation of Calibration Line

As described in Example 1, a calibration line of known β

2

receptor mRNA concentrations was created (FIG.

5

). The calibration line expresses a linear co-relationship between mRNA concentrations mapped to a logarithmic scale and the relative chemiluminescent intensity read from X-ray film.

(6) Evaluation of Reproducibility

Concentrations of β

2

receptor specific mRNA from HL60 cell lysates were determined three times. In Table 2, each concentration of β

2

receptor specific mRNA was determined from the calibration line described in section (5) above. The mean and standard error (S.E.) of data were calculated. Cell numbers were counted by a phase hemacytometer (American Scientific Products, IL). As shown in Table 2, three separate assays exhibited similar mRNA values at a range of 0.96 to 1.12 fg/cell. This suggests that the invented method provides reproducible method of quantifying specific mRNA levels.

TABLE 2

Concentrations of β

2

Receptor-Specific mRNA in HL60 Cells

No. of assay

mRNA Concentration [fg/cell]

1

1.01

2

0.96

3

1.12

mean ± S.E.

1.03 ± 0.04

G Proteins

Cell surface receptors for hormones and neurotransmitters are known to be coupled to intracellular heterotrimeric GTP-binding proteins (G proteins) composed of α, β and τ subunits. Once receptors are activated by specific ligands, receptor-coupled G proteins transduce signals to intracellular secondary effector systems, such as adenylyl cyclase, phospholipase C, and ion channels.

Recently, the molecular mechanisms of the interaction between receptors and G proteins have become less clear, because extensive molecular cloning has identified more subclasses of G protein α subunits than there are known cellular functions of G proteins. Furthermore, it has been found that a single receptor is also capable of coupling to multiple G proteins. For example, histamine H

2

receptors in human HL-60 cells were coupled to two different G proteins, which activated adenylyl cyclase and phospholipase C, respectively. It has also been reported that GABA-B receptors were capable of coupling to G

o

, G

o

* and G

i-1

proteins, but riot G

i-3

proteins. Moreover, CHO cells have been shown to express multiple G proteins, which activate the same phospholipase C pathways but are coupled selectively to different receptors. Some receptors may alter their G-protein subclass association depending on the state of differentiation of the cell or on the particular phase of the cell cycle. One example would be the mRNA coding for G protein. G protein binds to and controls the function of various receptors in the cell membrane. It catalyzes the intracellular reactions of cAMP and calcium ion free reaction systems. These molecules are used in various cellular transmitter systems.

G proteins are believed to be involyed in causing various disease states. For example, a genetic deficiency of G

s

proteins is the molecular basis of hereditary osteodystrophy. Pituitary tumors in acromegalic patients have been shown to contain mutant Gs proteins. G proteins are also involyed in invasive and metastatic melanoma cells. Rat models of streptozotocin-induced experimental diabetes suggest that the levels of mRNA for various subclasses of Gα proteins are significantly altered from normal control rats. Furthermore, cellular functions of pertussis toxin-sensitive G proteins were shown to be significantly impaired in atherosclerotic porcine coronary arteries, while G protein function in leukocytes of patients with mania was hyperfunctional. Thus, those diseases which are known to be related to a malfunction of the G protein include atherosclerosis, bipolar disorder, diabetes mellitus, melanoma, and pituitary tumors.

Currently available immunological detection methods (Western blots) and mRNA detection methods (Northern blots) are not sensitive and require a lot of cellular material, making it difficult to study the role of G proteins in disease. It is not easy to ascertain the quantity of expressed G protein. If the mRNA for the G protein was measured, it could be used to recognize the pathophysiology of patients having one of the foregoing ailments. The effects of agents designed to arrest or control these conditions could also be measured using this technique. G protein consists of α, β and γ subunits. The α subunit is known to have several allelic variations. Thus, by measuring each variation of G protein mRNA, the amount of expressed protein for each variation can be estimated.

EXAMPLE 3

Quantification of Human G Protein α Subunit-Specific mRNA

(1) First Nucleotide Probe Preparation

The first nucleotide probes used against Gs protein-specific mRNA and Gi-2 protein-specific mRNA were oligodeoxyribonucleotides. These nucleotide sequences, shown below, contain an amino group on their 5′ end and were synthesized by Genosys (Texas).

The probe sequence used for quantifying Gs mRNA is shown below (Seq ID No. 1):

5′-NH

2

-TTC ATC CTC CCA CAG AGC CTT G-3′

The sequence of probe used for quantifying Gi-2 mRNA is shown below (Seq ID No. 2):

5′-NH

2

-ATG GTC AGC CCA GAG CCT CCG G-3′

(2) Immobilization of the Second Nucleotide Probe Onto Insoluble Supports

The first nucleotide probes were dissolyed in DEPC-treated water at 1 μg/μl. Probes were then mixed with the EDC/Sulfo-NHS solution described in Example 1 Paragraph (2) in a ratio of 1:25 (Vol:Vol). A 50 μl sample was added to each well of a Sumilon microtiter plate (MS-3796F, Sumitomo BAkelite, JAPAN) and incubated overnight at room temperature. Following incubation, the reaction solution was removed with an aspirator.

(3) Preparation of Standard mRNA

A plasmid vector pGEM2 containing rat Gs protein cDNA (provided by Dr. R. R. Reed, Johns Hopkins University, U.S.A.) was linearized by digestion with NheI (Promega, WI). Gs protein-specific mRNA was prepared by the method described in Example 1 Paragraph (3) using T7 RNA polymerase (Promega, WI). The resultant mRNA concentrations were determined by spectrophotometry and subsequently diluted with DEPC-treated water as described in Example 1 Paragraph (3).

(4) Preparation of Cell Lysates

Human B lymphocyte-derived IM9 cells were centrifuged, washed with PBS, and resuspended in lysis buffer at 1×10

7

cells/ml as described in Example 2. Cells were then lysed by repeated passage through a sterile plastic syringe fitted with a 21 gauge needle, and then incubated in a slow-shaking waterbath at 45° C. for one hour.

(5) Hybridization of the First Nucleotide Probe to mRNA

In order to remove RNase contamination in the microtiter well, 250 μl of lysis buffer was added to each well at 45° C. for one hour as described in Example 1. The buffer was aspirated, and 50 μl of lysis buffer containing 0.5 M NaCl and various concentrations of human Gs protein mRNA was added into each well. Each sample was incubated at 51° C. for one hour to allow hybridization as described in Example 1.

(6) Hybridization of the Labeled Second Nucleotide Probe to a Poly(A) Tail of mRNA, and Measurement of Chemical Activities of the Labeled Second Nucleotide Probe

After hybridization of the first nucleotide probe, the hybridization solution was aspirated off and individual wells were washed once with 250 μl of lysis buffer. Fifty μl of lysis buffer containing 0.5 M NaCl and 1 μl of the biotinylated second nucleotide probe solution (35 pmol/μl) was added into each well, and incubated at room temperature for one hour to allow hybridization.

Chemical activities of the labeled second nucleotide probe was measured as described in Example 1.

(7) Preparation of Calibration Line

The calibration line of standard Gs protein-specific mRNA is shown in FIG.

6

. The calibration line expresses a relationship between the common logarithm of mRNA concentrations and the relative intensity of ch emiluminescent signals exposed to X-ray film.

(8) Evaluation of Reproducibility

Concentrations of Gs protein and Gi-2 protein specific mRNAs from IM9 cell lysates were measured six times to test reproducibility of the present invention. The methods used for Gi-2 were similar to that described above for Gs, with the incubation temperature used for hybridization of Gi-2 mRNA being 59° C. Table 3 lists the mRNA concentrations as obtained from the calibration line, and, the mean, and the standard error. Cell numbers from each sample were counted with a phase hemacytometer (American Scientific Products, IL). As listed in Table 3, all six assays reported similar mRNA concentrations for both Gs and Gi-2 mRNA. This suggests that the current invention provides a reliable, reproducible means of measuring specific mRNA concentrations.

TABLE 3

No. of Assay

mRNA Concentration [fg/cell]

Gs

Gi-2

1

24.8

4.6

2

10.6

8.8

3

18.8

7.2

4

35.5

6.8

5

13.6

11.5

6

33.0

13.7

mean ± S.E.

22.7 ± 3.8

8.77 ± 1.24

EXAMPLE 4

Simultaneous Quantification of Various mRNAs Derived from Cell Lines by the Invented Method in Conjunction with Reverse PCR Method

(1) Simultaneous Detection of Gs and Gi-2 Protein-Specific mRNAs in Various Cell Lysates by the Invented Method

Using the method described in Example 3, specific mRNAs for both Gs and Gi-2 protein from various cell lysates, such as Juirkat human T-cells, IM9 human B cell, U937 human monocytes and HL60 human granulocytic cells were analyzed. Chemical activities of the labeled second probe were exposed to Polaroid film (667, Polaroid, MA) in a specific holder (model 901, Tropix, CA) at room temperature for 5 seconds, instead of exposing to X-ray films as described in Example 3.

(2) Simultaneous Detection of Gs and Gi-2 Protein-Specific mRNAs by the Conventional Reverse PCR Method

(a) cDNA Preparation and Amplification by PCR

mRNA was purified using the FastTrack kit (Invitrogen, CA) directly from various cell lysates as described in Example 3 Paragraph (4). Samples were dissolyed in 10 μl DEPC-treated water, and cDNA was synthesized using the Superscript kit (Gibco/BRL Life Technologies, MD). Resultant cDNA was extracted once with phenol, precipitated in ethanol, and dissolyed in 10 μl of DEPC-treated water.

One μl of solution containing cDNA was mixed with 1 μl each of 10 mM dATP, dCTP, dGTP and dTTP (Pharmacia LKB Biotechnology, NJ), 1 μl of 25 mM MgCl

2

, 1 μl each of G protein-specific PCR primers, 0.5 μl of Taq polymarese (Promega, WI), and 5 μl of PCR buffer (Promega) to a final volume of 50 μl. Sense and antisense G protein-specific PCR primers are exibited below

AGCACCATTGTGAAGCAGATGA (sense) (Seq ID No. 3)

CTCTGGCCTCCCACATCAAACA (5′ to 3′ antisense) (Seq ID No. 4)

These sequences are known to be highly conserved among various G proteins, with this pair of primers being known to amplify Gs, Gi-1, Gi-2, Gi-3 and Go protein specific cDNA from data gathered in preliminary experiments. Followed by pre-denaturation at 95° C. for 10 minutes, PCR was carried out in a DNA thermal cycler (Perkin-Elmer Cetus, CT) with 30 cycles of annealing at 55° C. for 1.5 minutes, extension at 72° C. for 4 minutes, and denaturation at 95° C. for 1.5 minutes, respectively.

(b) Agarose gel Electrophoresis of Amplified cDNA

A 1.2% agarose gel containing 0.00005% ethidium bromide, 0.001 M EDTA and Tris-acetate, pH 8.0 was prepared. Ten μl of each test solution was mixed with 2 μl of gel-loading buffer (0.25% bromophenol blue, 0.25% xylene cyanol and 15% Ficoll (Type 400, Pharmacia LKB Biotechnology, NJ; in water) and heated at 65° C. for five minutes prior to loading. Electrophoresis was performed al. 6 V/cm for one hour. After electrophoresis, the cDNA bands were examined under UV light illumination.

The gel was then immersed in 0.25 M HCl for 30 minutes (depurination), 0.5 M NaOH containing 1.5 M NaCl for one hour (denaturation), followed by 1 M Tris-HCl, pH 7.5 containing 1.5 M NaCl for one hour (neutralization).

(c) Transfer of Amplified cDNAs onto Membranes (Southern Blot)

Amplified cDNAs were transferred onto nylon membranes and immobilized by UV light as described in Comparison 1(2).

(d) Preparation of Biotin-Labeled cDNA Probes

Ten ng each of Gs and Gi-2 cDNA clones were amplified by PCR as described in (2)(a) above, with the modification that 20% of dTTP was replaced with biotin-labeled dUTP (Clontech). In preliminary Southern blot analysis, these biotin-labeled PCR products have been shown to specifically hybridize to Gs and Gi-2, respectively.

(e) Hybridization of Labeled cDNA Probes to Southern Membranes

As shown in Comparison Example 1 Paragraph 4, biotin-labeled PCR products were heat-denatured at 95° C. for 10 minutes, then hybridized to Southern membranes, on which PCR-amplified cDNAs from cell lysates were immobilized.

(f) Chemical Activity Measurement of Labeled cDNA Probes

Chemical activity of labeled cDNA probes was measured as described in Comparison 1 Paragraph (5).

(3) Results

The results of Example 4(1) are shown in FIG.

7

. Polaroid film was exposed to chemiluminescent light derived from an oligo-(dT) probe by the invented method, in which Gi-2 and Gs protein mRNA from various cells were trapped onto the first oligonucleotide-immobilized plastic plate. Phosphate-buffered saline (PBS) was used as a control. As shown in

FIG. 7

, mRNA was detected from all cell lines.

The results of Example 4(2) are shown in

FIG. 8

, in which Gi-2 and Gs cDNA probes were used on a Southern Blot. PCR-amplified G protein specific DNA from four different cell lines were immobilized onto a membrane.

FIG. 8

is a copy of the X-ray film detailing the chemiluminescent results of this probe. As shown in

FIG. 8

, mRNAs are detected in all cell lines. Therefore, the invented method provides a high enough reliability to be used for quantification of mRNA.

EXAMPLE 5

Methods for Amplifying G Proteins with PCR Primers

(1) Materials

The cDNAs of rat G protein α subunits (G

i-1

, G

i-2

, G

i-3

, G

s

and G

o

) were provided by Dr. R. R. Reed (Johns Hopkins Univ., MD). λZAP libraries of rat pituitary and intestine were provided by Dr. D. G. Payan (Univ. Calif. San Francisco). Kirsten murine sarcoma virus transformed rat kidney cells (KNRK), human IM9 B-lymphocytes and human Jurkat T-lymphocytes were obtained from American Type Tissue Culture Collection, Rockville, Md.). Cell culture media, Superscript (Gibco/BRL, Gaithersburg, Md.), reagents for PCR (Promega, Madison, Wis.), ECL (Amersham, Arlington Height, Ill.), Genius, Lumi-Phos 530 (Boehringer-Mannheirn, Indianapolis, Ind.), FastTrack (Invitrogen San Diego, Calif.), λ gt10 library of human HL-60 cells, biotin-dUTP, alkaline phosphatase-conjugated streptavidine (Clontech, Palo Alto, Calif.), dNTP (Pharmacia, Piscataway, N.J.) were obtained from the designated suppliers. Other chemicals were purchased from Sigma (St. Louis, Mo.).

(2) Cell Culture

KRNK cells were grown in Dulbecco's modified Eagles medium containing 10% fetal calf serum, 100 U/ml penicillin and 100 μg/ml streptomycin at 37° C. in 5% CO

2

/95% air. Cells were fed every other day and passaged at 70-90% confluency with 0.1% trypsin in CA

2+

-Mg

2+

-free saline containing 0.02% EDTA. IM9 and Jurkat cells was grown in RPMI 1640 containing 10% fetal calf serum, 100 U/ml penicillin and 100 μg/ml streptomycin at 37° C. in 5% CO

2

/95%. Cell viability was more than 90% as assessed by the exclusion of trypan blue.

(3) Primer Design

Rat clones of Gα proteins (G

i-1

(RATBPGTPB), G

i-

2 (RATBPGTPA), G

i-3

(RATBPGTP), G

s

(RATBPGTPD), and G

o

(RATBPGTPC) were retrieved from GenBank release 65.0 (HIBIIO, Hitachi America, Brisbane, Calif.). The nucleotide sequence similarity among these clones were then analyzed by the multiple alignment program (DNASIS, Hitachi). We have initially identified 7 highly conserved areas among them. These conserved nucleotide sequences were then analyzed against all mammalian sequences in GenBank in order to identify other similar sequences. The designed oligonucleotides (Seq. ID No. *) were synthesized by Genosys Biotechnologies (Woodlands, Tex.), and suspended in water at 100 pg/ml.

(4) PCR

One μl of the template DNA was mixed with 1 mM each of DATP, dGTP, dCTP and dTIP, 1 μl of each PCR primers, 1 μl of 25 mM MgCl

2

, 5 μl PCR buffer, and 0.5 μl of Taq polymerase (18). PCR was then carried out in a DNA thermal cycler (model 480, Perkin-Elmer Cetus, Norwalk, Conn.) with 30 cycles of annealing temperature at ranging from 37° C. to 65° C. for 1.5 min, 72° C. extension for 4 min followed by 95° C. denature for 1.5 min. In separate experiments, 35% of dTTP was replaced with biotin-dUTP in order to prepare biotin-labeled probes.

(5) Southern Blot

PCR products were separated by electrophoresis in 1.2% agarose, and stained with ethidium bromide (19). Gels were then depurinated in 0.25 N HCl for 30 minutes and denatured in 0.5 N NaOH containing 1.5 M NaCl for 30 minutes. The gels were then neutralized with 1.0 M Tris, pH 7.6 containing 1.5 M NaCl for 30 minutes. Gels were then placed onto nylon membranes (MagnaGraph, MSI, Westboro, Mass.) prewetted in 10×SSPE for 10 min, and DNA was transferred onto membranes by positive pressure at 75 mmHg for 60 minutes (Posiblot, Stratagene, La Jolla, Calif.). The DNA from the gel was then cross-linked to the membranes with ultraviolet light at 120 mjoules (Stratalinker, Stratagene), and the membranes were incubated with hybridization buffer (ECL) containing 5% blocking reagent (ECL) and 0.5 M NaCl at 40° C. for more than 1 hour. Heat denatured biotin-labeled PCR probes were then added, and hybridization was continued overnight. The membranes were washed four times for 15 minutes each time with primary wash buffer (0.5×SSPE, 36 w/v % urea, 0.4 w/v % SDS) at 45-65° C., then washed twice for 5 minutes with secondary wash buffer (2×SSPE) at room temperature, and were incubated with the blocking buffer (Genius) for at least 3 hours at room temperature. Alkaline phosphatase-conjugated streptavidine (1:5,000 dilution) was then added, and incubation was continued for an additional 30-60 minutes at room temperature. The membranes were washed four times for 15 minutes with buffer A (100 mM Tris, pH 7.5, 150 mM NaCl) at room temperature, were washed for 2 minutes once with buffer C (100 mM Tris, pH 9.5, 100 mM NaCl, 50 mM MgCl

2

), and soaked in Lumi-Phos 530 for approximately 1-2 minutes. The membranes were then wrapped with transparency films, and chemiluminescent signals were allowed to expose X-ray films (XAR-5, Kodak, Rochester, N.Y.) for between 10 minutes and 1 hour.

(6) mRNA Preparation and cDNA Synthesis

The cells were washed with phosphate buffered saline three times, homogenized in lysis buffer (FastTrack), and then incubated at 45° C. for 1 hour to eliminate any RNase activity. NaCl concentrations were adjusted at 0.5 M, and an oligo (dT) cellulose tablet was added to lysis buffer. Incubation was then continued at room temperature for an additional 40 minutes. After oligo (dT) cellulose was washed with binding buffer (FastTrack) four times, bound mRNA was eluted with DEPC-treated water. Concentrations of mRNA were determined in a spectrophotometer (Hitachi, U-2000, Irvine, Calif.) at OD

260

. The first strand cDNA was synthesized from a template mRNA in the presence of 50 mM Tris, pH 8.3, 75 mM KCl, 3 mM MgCl

2

, 10 mM DTT, 0.5 mM each of dATP, dCTP, dGTP, and dTTP, poly (dT) as a primer, and reverse transcriptase (Superscript) at 37° C. for 1 hour. Second strand cDNA was then synthesized in the same tube, containing 25 mM Tris, pH 7.5, 100 mM KCl, 5 mM MgCl

2

, 10 mM (NH

4

)

2

SO

4

, 0.15 mM β-NAD

+

, 250 μM each of dATP, dGTP, dCTP and dTTP, 1.2 mM DTT, 65 U/ml DNA ligase, 250 U/ml DNA polymerase, and 13 U/ml RNase H (Superscript) for 2 hours at 16° C. Synthesized cDNAs were then extracted once with an equal volume of phenol:chloroform:isoamyl alcohol (25:24:1), precipitated with ethanol, and resuspended in H

2

O.

(7) Graphic Presentation

Data on Polaroid films and X-ray films was scanned by Stratascan (Stratagene) with optimization of signal-to-noise ratio, then edited with desk top publishing software (PageMaker, Aldus, Seattle, Wash.).

EXAMPLE 6

Characterization of Cellular Components of G Protein α Subunits using PCR

(1) Introduction

Using the methods of Example 5, we have now identified and characterized two highly conserved oligonucleotide sequences among five different a subunits of G proteins, SEQ ID NO:7 and SEQ ID NO:8, which can used as PCR primers. We have found that the sequences of all the subclasses of G proteins can be amplified under the same PCR conditions using these two oligonucleotides as PCR primers, including both G protein sequences obtained from a mixture of rat Gα protein clones and cDNAs derived from various human tissues.

Although G proteins have been analyzed extensively from a biochemical and immunological point of view using various antibodies, antibody production without any cross-reactivity among various subclasses or with high species specificity has been quite difficult to obtain. Therefore, recent experiments have focused on Northern blot analyses to identify G protein-specific mRNA from various tissues or cells in different species. However, Northern blots require experienced handling and protection from RNase contamination, in addition to a large amount of starting cellular materials.

In contrast to these conventional methods, PCR technology is more convenient and practically useful, because it requires less material than a Northern blot analysis and has great sensitivity. However, it is difficult for PCR to quantify the amount of DNA or mRNA in starting materials. Interestingly, the final PCR products obtained using the novel G-protein PCR primers of the present invention reflect the relative composition of each of the subclasses of Gα proteins present: in the starting materials. This is probably because the five different Gα proteins cDNAs are amplified at a similar rate with a single set of PCR primers under the same PCR conditions. If known mixtures of each of the subclasses of Gα protein clones are assayed together with unknown test samples, as shown in

FIG. 13

, the relative composition of Gα proteins can be determined fairly precisely. Therefore, the present method is ideal for the characterization of Gα proteins in various tissues and cells.

Performing PCR with the primers of the present invention is also useful in clinical and diagnostic assays in the detection of disease. Since G protein abnormalities have been associated with hereditary diseases, cancer, forms of diabetes, and other diseases, the present PCR primers for detecting and quantifying G proteins can be used to detect these diseases and assess their severity.

In the present study, we have identified G

i-1

, G

i-2

, G

i-3

, G

s

and G

o

using the PCR primers of the present invention. Although recent cloning has identified more subclasses of G proteins, all of these newly identified G protein cDNAs showed high degree of homology to other known G proteins. Therefore, it is expected that the primers of the present invention will amplify these subclasses as well, and that the present PCR the present PCR technique can also be applied to these new G proteins. Moreover, this PCR method can be utilized to clone unique G protein genes as well.

(2) Primers We have designed two 22-mer oligonucleotides (G

2

and G

4

—SEQ ID NOS:700 and 701) as PCR primers. As shown in Table 4 below, these oligonucleotides contain sequences which are highly conserved among five different Gα protein cDNAs, having only 0-4 base mismatches per sequence. No mismatch was found in the 4 bases at the 3′ end of the G

2

-sense and G

4

-antisense sequences. Furthermore, G

2

and G

4

have no self-complementary sequences more than 3 base pairs in a row (data not shown). In order to analyze whether G

2

and G

4

are common to all the Gα proteins, but not to other unrelated sequences, a homology search (DNASIS) of G

2

and G

4

sequences was carried out against all mammalian sequences in GenBank. As a result, G

2

and G

4

were found to be common to all the types of Gα proteins and rhodopsins of various species, but less homologous to other unrelated sequences (data not shown).

TABLE 4

Two consensus oligonucleotides (G2 and G4)

among five different cDNAs of G protein α subunits

Consensus sequence (# of mismatch) [SEQ ID NO:]

G2

G4

AGCACCATTGTGAAGCAGATGA [700]

Length (bp)

TGTTTGATGTGGGAGGCCAGAG [701]

Gi-1

AGCAC

a

ATTGTGAAGCAGATGA (1) [702]

476

TGTTTGA

C

GTGGGAGGCCAGAG (1) [805]

Gi-2

AGCACCAT

c

GT

c

AAGCAGATGA (2) [703]

479

TGTTTGATGTGGG

t

GG

t

CAG

c

G (3) [806]

Gi-3

AG

t

AC

t

ATTGTGAA

a

CAGATGA (3) [704]

476

TGTTTGATGT

a

GG

t

GGCCA

a

AG (3) [707]

Gs

AGCACCATTGTGAAGCAGATGA (0) [704]

524

TGTT

c

GATGTGGG

c

GGCCAG

c

G (3) [708]

G0

AGCACCATTGTGAAGCAGATGA (0) [706]

479

TGTTTGA

c

GT

t

GG

g

GGCCAG

c

G (4) [709]

(3) PCR of Rat Cloned Gα Protein cDNAs

The cloned rat G

i-1

, G

i-2

, G

i-3

, G

s

and G

o

cDNAs were diluted at 10 ng/μl, and 1 μl of DNA was mixed with 1 mM each of dATP, dGTP, DCTP and dTTP, 1 μl of each PCR primers, 1 μl of 25 mM MgCl

2

, 5 μl PCR buffer, and 0.5 μl of Taq polymerase as described in the Materials and Methods. PCR was then carried out with 30 cycles of annealing temperature at 45° C. for 1.5 min, 72° extension for 4 min followed by 95° C. denaturation for 1.5 min, 72° C. extension for 4 min followed by 95° C. denaturation for 1.5 min. PCR products were then separated in 1.2% agarose gel, and stained with ethidium bromide (upper panel). Marker indicates a 0.6 Kb fragment of HindIII digested λ DNA. DNAs were then transferred onto nylon membranes, hybridized with subclass specific biotin-labeled probes as described in the Materials and Methods. The membranes were washed with primary wash buffer (0.5×SSPE, 36 w/v % urea, 0.4 w/v % SDS) at 65° C., incubated with the blocking buffer for at least 3 hours at room temperature, then alkaline phosphatase-conjugated streptoavidine (1:5,000 dilution) was added, and incubation was continued for an additional 30 min at room temperature. After extensive washing, membranes were soaked in Lumi-Phos 530 for approximately 1-2 min, then chemiluminescent signals were exposed to X-ray film for 10 min to 1 hr (lower 5 panels).

PCR was first carried out at different annealing temperatures ranging from 37° C. to 65° C. using the λ gt10 library of human HL-60 cells. As a result, PCR products were seen only at 45° C. and 55° C. with a size of approximately 500 bp (data not shown), which was similar to theoretical values (576 to 524 bp) (see Table 4 above). Therefore, all the PCR was then carried out at an annealing temperature of 45° C.

As shown in

FIG. 14

, cloned rat Gα protein cDNAs (G

i-1

, G

i-2

, G

i-3

, G

s

, G

o

) were successfully amplified using the same set of PCR primers (G

2

and G

4

) with a size of approximately 500 bp in 1.2% agarose gels stained with ethidium bromide. According to the computer analysis (DNASIS), the nucleotide sequences of the amplified PCR products were less homologous among five Gα proteins with the percentage of similarity ranging from 76.8% to 47.6%. This indicates that after PCR amplification, each of the components of Gα proteins can be identified by Southern blot analysis, even though the sizes of the PCR products generated are very similar among the five Gα proteins. Therefore, another PCR was carried out in which 35% of the dTTP was replaced with biotin-conjugated dUTP in order to prepare subclass-specific, biotin-labeled probes. Southern membranes were then probed with these biotin-PCR products. As shown in

FIG. 14

, these biotin-PCR probes were highly specific to each Gα protein subclass with washing temperature at 65° C. At low stringent washing, these probes cross-hybridized with other subclasses of Gα proteins (data not shown).

(4) PCR of a Mixture of Rat Cloned Gα Protein cDNAs

G

1−1

, G

i-2

, G

i-3

, G

s

and G

o

cDNA were diluted at 10 ng/μl (+++), 100 pg/μl (++) and 1 pg/μl (+), and various combinations of these diluted cDNA were used as a PCR templates (upper panel). Then, PCR and Southern blot were carried out as described in part (3) of this Example.

By using the G

2

and G

4

sequences, all the subclasses of Gα protein cDNA were amplified with PCR when an equal amount of G

i-1

, G

i-2

, G

i-3

and G

o

were present in test samples

FIG. 13

, lane 4, 5, 10). However, if all the concentrations of Gα protein cDNA are abundant, G

o

is less amplified (

FIG. 13

, lane 10), probably because the number of mismatches between G

o

and G

4

is higher than others between G

4

and the G

2

sequences. If 1 or 2 of the 5 Gα protein cDNAs were present in smaller quantities than the others, the amounts of amplified cDNA were relatively correlated with the starting concentrations of cDNAs (

FIG. 13

, lane 1, 2, 3, 8, 9). Furthermore, if 1 of 5 of the Gα proteins' cDNA is more abundant than that of the others, this G protein gene was amplified more than others (

FIG. 13

, lane 6, 7).

(5) PCR of Rat cDNAs from Various Tissues

Rat λZAP cDNA libraries of pituitary (P) and intestine (I), and cDNA from the mRNA of rat kidney cells (KNRK) were used as PCR templates. Then, PCR and Southern blot were carried out as described in part (3) of this Example.

Using this PCR method, Gα protein genes were amplified not only from cloned cDNAs, but also from various rat cDNAs (FIG.

15

). In λZAP cDNA libraries from rat pituitary glands and cDNA from rat kidney KNRK cells, G

o

was more abundant than G

s

, G

i-2

and G

i-3

, and G

i-1

was undetectable (

FIG. 15

, lane 1, 2). λZAP cDNA library of rat intestine contained more G

i-2

, G

i-3

, and G

s

and G

o

(

FIG. 15

, lane 3).

(6) PCR of Human cDNAs

cDNAs from the mRNA of human IM9 B-lymphocytes and Jurkat T-lymphocytes were used as PCR templates. Then, PCR was carried out with annealing temperature at 45° C. (1, 3) or 55° C. (2, 4). Southern blot were then performed as described in part (3) of this Example.

According to sequence analyses, the PCR products of rat G

i-1

, G

i-2

, G

i-3

, G

s

and G

o

sequence amplification exhibited a high degree of homology to human G protein cDNAs, see Table 6 below). Furthermore, as shown in

FIG. 16

, PCR with a pair of G

2

and G

4

primers could amplify 500 bp DNA from cDNAs of human IM9 and Jurkat cells. Unlike rat cDNAs (FIG.

15

), both IM9 and Jurkat cells contained all the subclasses of Gα proteins (FIG.

16

). However, G

i-3

is relatively more abundant in IM9 cells, while G

s

and G

o

were more in Jurkat cells than IM9 cells (FIG.

16

).

TABLE 6

Nucleotide sequence similarity of PCR products between

rat and human G proteins

Length (bp)

No. of

Rat

Human

mismatch

% Similarity

Gi-1

476

476

62

87.0%

Gi-2

479

479

44

90.8%

Gi-3

476

476

40

91.6%

Gs

524

482

52

89.2%

Go

479

479

39

91.9%

It will be evident to one having ordinary skill in the art that a variety of sequences could serve as sense or antisense primers for PCR methods or as probes for the detection of mRNA as described herein. A method for identification of such sequences that are either common to a variety of G proteins or specific to a particular species is provided hereinbelow. In the preferred embodiment of this method of identification, a computer program is used to identify the sequences. Through use of such a program, we have identified a large number of both common and specific primers and probes. Provided as Tables 7 through 13 are various sense sequences identified through the use of such a program that are useful as G protein probes and primers.

All of the sequences listed in these tables are useful within the context of the PCR methods of the present invention. The complementary antisense sequences are also useful in certain aspects of the invention. As will be known having ordinary skill in the art, for common probes that are similar, but not identical to target sequences, stringency conditions can be varied (e.g. by changes in temperature and salinity) so that such probes will hybridize or fail to hybridize with a particular target sequence. Thus, also included within the present invention are sequences thar are capable of hybridizing with the same sequences as either the sense sequences listed or their anti-sense counterparts. Additional probes for G protein also include the following:

Common G Protein Probes

5′-CTCTGGCCTCCCACATCAAACA-3′ (SEQ ID NO: 139)

5′-TCATCTGCTTCACAATGGTGCT-3′ (SEQ ID NO: 140)

Specific probes (Human & Rat common)

(SEQ ID NO: 141)

Gi-1

5′-GTTTTCACTCTAGTTCTGAGAACATC-3′

(SEQ ID NO: 142)

Gi-2

5′-CAAAGTCGATCTGCAGGTTGC-3′

(SEQ ID NO: 143)

5′-ATGGTCAGCCCAGAGCCTCCGG-3′

(SEQ ID NO: 144)

Gi-3

5′-GTCTTCACTCTCGTCCGAAGA-3′

(SEQ ID NO: 145)

Gs

5′-GCCTTGGCATGCTCATAGAATT-3′

(SEQ ID NO: 146)

5′-TTCATCCTCCCACAGAGCCTTG-3′

(SEQ ID NO: 147)

Go

5′-CGCATCATGGCAGAAAGCAG-3′

TABLE 7

G protein common primer (G2-S)

SEQ

ID

G2-S

NO:

AGCACCATTGTGAAGCAGATGA

Human

Gi-1

HUMGNBPAI

148

::T::A::::::::::::::::

Gi-2

HUMGIAA

149

::::::::C::C::::::::::

Gi-3

HUMGIAB

150

::::::::::::::A:::::::

Gs

HUMGNPAS

151

::::::::::::::::::::::

Go

HUMGOAQ01

152

::::::::::::::::::::::

Rat

Gi-1

RATBPGTPB

153

:::::A::::::::::::::::

Gi-2

RATBPGTPA

154

::::::::C::C::::::::::

Gi-3

RATBPGTP

155

::T::T::::::::A:::::::

Gs

RATBPGTPD

156

::::::::::::::::::::::

Go

RATBPGTPC

157

::::::::::::::::::::::

Gx

RATGXA

158

::::::::C::C::::::::::

Highest matched sequences in GenBank

HUMADECYC adenyl cyclase

159

::::::::::::::::::::::

RATACOA1aCy1-coA oxidase

160

GC::::::G::::::A::::::

HUMTGASEtransglutaminase

161

CT:::::::::::::::CC:AC

TABLE 8

G protein common primer (G4-AS)

G4-AS

SEQUENCE ID NO:

TGTTTGATGTGGGAGGCCAGAG

Human

Gi-1

HUMGNBPA

162

::::::::::::::::T:::::

Gi-2

HUMGIAA

163

:::::::::::::T::T:::C:

Gi-3

HUMGIAB

164

::::::::::A::T:::::A::

Gs

HUMGNPAS

165

:::::::C:::::T::::::C:

Go

HUMGOAQ01

166

:::::::C::C:::::::::C:

Rat

Gi-1

RATBPGTPB

167

:::::::C::::::::::::::

Gi-2

RATBPGTPA

168

:::::::::::::T::T:::C:

Gi-3

RATBPGTP

169

::::::::::A::T:::::A::

Gs

RATBPGTPD

170

::::C::::::::C::::::C:

Go

RATBPGTPC

171

:::::::C::T::G::::::C:

Gx

RATGXA

172

::G:G:::::::::::G:::::

Highest matched sequences in GenBank

HUMLDLRRL

LDL-receptor

173

CTGA::::::::::::::TACT

MUSHEPGFA

hepatocyte growth

174

GAG:G:::::::T::A::::::

HUMKEREP

epidermal keratin

175

AG::::::AT:::GG:::::::

TABLE 9

Gi-1 protein specific, human-rat common

primer (Gi-1)

SEQUENCE

Gi-1

ID NO:

GATGTTCTCAGAACTAGAGTGAAAAC

Human

Gi-1

HUMGNBPAI

176

::::::::::::::::::::::::::

Gi-2

HUMGIAA

177

TT:::::::::CT:CCCCTGTCCCCT

Gi-3

HUMGIAB

178

::::::::TG:G::G::::::::G::

Gs

HUMGNPAS

179

AC:::G:C:::T:::TCCTG::C::G

Go

HUMGOAQ01

180

::CA:C:::C::::C::G::C:::::

Rat

Gi-1

RATBPGTPB

181

::::::::::::::::::::::::::

Gi-2

RATBPGTPA

182

:::::G::GC:G::CC:T:::::G::

Gi-3

RATBPGTP

183

::::::::TC:G::G::::::::G::

Gs

RATBPGTPD

184

A:GCACAATTA:TTA:::::::::CG

Go

RATBPGTPC

185

::CA:C:::C::::C::G::C:::::

Gx

RATGXA

186

TCA::::GAG::C:::A:CC::::CA

TABLE 9A

Human-rodent common Gi-1 specific probes.

Name

Gi1-735 (5′-3′)

Gi1-1131 (5′-3′)

SEQ ID NOS:

in GenBank

GATGTTCTCAGAACTAGAGTGAAAAC

TGTCAGTTTGAAGACCTCAATAAAAG

(respectively)

Rat

Gs RATBPGTPD

A-GCACAATTA-TTA--------CG

AACAGAAA-A----AA-A----G---T

224, 225

Gi-1 RATBPGTPB

-------------------------

---------------------------

226, 227

Gi-2 RATBPGTPA

-----G--GC-G--CC-T-----G--

A-CA-------G-----G------C-

228, 229

Gi-3 RATBPGTP

--------TC-G--G--------G--

--C-----------T--G--CCG---

230, 231

Go RATBPGTPC

--CA-C---C----C--G--C-----

ACA---------AG-AAA--CCGCTC

232, 233

Human

Gi-1 HUMGNBPA

--------------------------

--------------------------

234, 235

GenBank**

HUMCPH192

C---C---G--C---G---A-----G

236

MUSGBPA

A-C---CC--T--C------------

237

*: Size of PCR products using Gi1-735 and Gi1-1131 as primers.

**: The highest matched sequences in GenBank (release 68.0) next to the G protein DNAs.

TABLE 10

Gi-2 protein specific; human-rat common

primer (Gi-2)

Gi-2

SEQUENCE ID NO:

GCAACCTGCAGATCGACTTTG

Human

Gi-1

HUMGNBPAI 187

:G:GGT::A::::A:::::::

Gi-2

HUMGIAA

188

:::::::::::::::::::::

Gi-3

HUMGIAB

189

:ACGG::AA::::T:::::::

Gs

HUMGNPAS

190

AGT:::A::T:::T::::G::

Go

HUMGOAQ01

191

CTTCT:::::::G:TG::::C

Rat

Gi-1

RATBPGTPB

192

:G:GAT::A:A::::::::::

Gi-2

RATBPGTPA

193

:::::::::::::::::::::

Gi-3

RATBPGTP

194

AA:::G:::::T:T:TT::::

Gs

RATBPGTPD

195

AGT:::A::T::::::::G::

Go

RATBPGTPC

196

ATTCT:::::::A:TG::::C

Gx

RATGXA

197

:T:::A:C:::T:T:T:::C:

TABLE 10A

Human-rodent common Gi-2 specific probes.

Name

Gi2-742 (5′-3′)

Gi2-1102 (5′-3′)

SEQ ID NOS:

in GenBank

AAGATGTTTGATGTGGGTGGTC

AAGGAGATCTACACGCACTTCA

(respectively)

Rat

Gs RATBPGTPD

G-C-A-A--------ATCAAG-

---C--G-----CG-GC-ACGC

238, 239

Gi-1 RATBPGTPB

--A--------C-----A--C-

-----A--T-----C-------

240, 241

Gi-2 RATBPGTPA

----------------------

----------------------

242, 243

Gi-3 RATBPGTP

--A-----------A-----C-

------G-------T-----T-

244, 245

Go RATBPGTPC

-G-C-------C--T--G--C-

CTA-------G---C-CTCA-C

246, 247

Mouse

Gi-2 MUSGI

----------------------

----------------------

248, 249

Human

Gi-2 HUMGIR

----------------------

----------------------

250, 251

GenBank**

HUMCMPF

----------C--------TGG

252

MUSHSP84A

-------A-----A-A-G---T

253

*: Size of PCR products using Gi2-742 and Gi2-1102 as primers.

**: The highest matched seqences in GenBank (release 68.0) next to the G protein DNAs.

TABLE 11

Gi-3 protein specific, human-rat common

primer (Gi-3)

Gi-3

SEQUENCE ID NO:

TCTTCGGACGAGAGTGAAGAC

Human

Gi-1

HUMGNBPAI

198

:::CA:A::T::::::::A::

Gi-2

HUMGIAA

199

G::A:::::CC:C::A:::::

Gi-3

HUMGIAB

200

:::::::::::::::::::::

Gs

HUMGNPAS

201

GGGAAATCGA:::T:::G:::

Go

HUMGOAQ01

202

:::C::::GA:::CGTG:A::

Rat

Gi-1

RATBPGTPB

203

:::CA:A::T::::::::A::

Gi-2

RATBPGTPA

204

G::G:::::CC:T::::::::

Gi-3

RATBPGTP

205

:::::::::::::::::::::

Gs

RATBPGTPD

206

TTCCT::::A:::T:::T:TG

Go

RATBPGTPC

207

CGCAT:::G::C:C::::CCA

Gx

RATGXA

208

AAC::::G:A::::CACCAT:

TABLE 11A

Human-rodent common Gi-3 specific probes.

Name

Gi3-407 (5′-3′)

Gi3-730 (5′-3′)

SEQ ID NOS:

in GenBank

TTGTTTTAGCTGGCAGTGCTGA

GAGGGAGTGACAGCAATTATCT

(respectively)

Rat

Gs RATBPGTPD

CC-CAAGT-GATC-------TC

A-T-AT-----T--C--C----

254, 255

Gi-1 RATBPGTPB

A----GA------GGC-CTA-T

--A--C-----T--C--C----

256, 257

Gi-2 RATBPGTPA

CCTACAC---A--AT------C

-----T--C--G--C--C----

258, 259

Gi-3 RATBPGTP

----------------------

----------------------

260, 261

Go RATBPGTPC

CG-------T--AGTC-TTAC-

TC------AT----TCAACGAC

262, 263

Human

Gi-3 HUMGTPBP

----------------------

----------------------

264, 265

GenBank**

HUMAPOB

G-----C--A-----T-----C

266

HUMINSR02

C--------G---AC---T---

267

*: Size of PCR products using Gi3-407 and Gi3-73O as primers.

**: The highest matched sequences in GenBank (reLease 68.0) next to the G protein DNAs.

TABLE 12

GS Protein specific, human-rat common

primer (Gs)

Gs

SEQUENCE ID NO:

AATTCTATGAGCATGCCAAGGC

Human

Gi-1

HUMGNBPAI

209

GGGCGG::::T:::C:::::CT

Gi-2

HUMGIAA

210

:::ATG:::::GCA::::GCTA

Gi-3

HUMGIAB

211

C:G::::ACTA:::T::::CTC

Gs

HUMGNPAS

212

::::::::::::::::::::::

TABLE 12A

Human-rodent common Gs specific probes.

Name

Gs-246 (5′-3′)

Gs-824 (5′-3′)

SEQ ID NOS:

in GenBank

GCCAACAAAAAGATCGAGAAGC

GGACAAAGTCAACTTCCACATG

(respectively)

Rat

Gs RATBPGTPD

----------------------

----------------------

268, 269

Gi-1 RATBPGTPB

CG--G---G-T------CCGCA

------G-CGGC-G-GG-GCGC

270, 271

Gi-2 RATBPGTPA

CAA-GG------CA-A------

A-------C-C--C-G-T---T

272, 273

Gi-3 RATBPGTP

TGAGGA-----T-AA------T

-TCAGG---A-TA-------GC

274, 275

Go RATBPGTPC

TTTGG-G-G-----TA-----T

CCGAGG--CGGCGA-G------

276, 277

Mouse

Gs-1 MUSGS

----------------------

----------------------

278, 279

Gs-2 MUSGTPAMU

----------------------

----------------------

280, 281

Human

Gs-1 HUMGSA1R

----------------------

----------------------

282, 283

Gs-2 HUMGSA2R

----------------------

----------------------

284, 285

GenBank**

HUMMBP2

A----A--C------A------

286

RATAFPM

A------T---T--------A-

287

*: Size of PCR products using Gs-246 and Gs-824 as primers.

**: The highest matched sequences in GenBank (release 68.0) next to the Gs protein DNAs.

TABLE 13

Go Protein specific, human-rat common

primer (Go)

Go

SEQUENCE ID NO:

CTGCTTTCTGCCATGATGCG

Human

Gi-1

HUMGNBPAI

213

GAC::::::TAA:::TGACA

Gi-2

HUMGIAA

214

:::TGA:::C:A:G:C::::

Gi-3

HUMGIAB

215

::::A::::AGA:CTTCACA

Gs

HUMGNPAS

216

TCAACGA:::::G:::CATC

Go

HUMGOAQ11

217

::::::::::::::::::::

Rat

Gi-1

RATBPGTPB

218

:::A::::CCA:G:T:::TT

Gi-2

RATBPGTPA

219

T::::GA:CC:::GCG::::

Gi-3

RATBPGTP

220

::::::G:::T:::TG:CAC

Gs

RATBPGTPD

221

::::::G:::AG:A:G:C:T

Go

RATBPGTPC

222

::::::::::::::::::::

Gx

RATGXA

223

:A:::C:T::::C:::CTG:

TABLE 13A

Human-rodent common Go specific probes.

Name

Go-1224 (5′-3′)

Go-1397 (5′-3′)

SEQ ID NOS:

in GenBank

AGGACATCCTCCGAACCAG

TATGACCAGGTGCTCCACG

(respectively)

Rat

Gs RATBPGTPD

--------AAAAAC-A-CT

AG--------AC--G-TTC

288, 289

Gi-1 RATBPGTPB

G--G-CG------GG----

-------T---T--TGCT-

290, 291

Gi-2 RATBPGTPA

CCAT-------TTCCT--A

-TCTGTT-------GG-GA

292, 293

Gi-3 RATBPGTP

G-CCA-AGA-------GGA

A--------TA-T-AATTT

294, 295

Go RATBPGTPC

-------------------

-------------------

296, 297

Mouse

Go-A MUSGCASA

-------------------

-------------------

298, 299

Go-B MUSGOASB

-------------------

-------------------

300, 301

Hamster

Go-1 HAMHITA01

-------------------

-------------------

302, 303

Go-2 HAMHITA02

-------------------

-------------------

304, 305

Human

Go HUMGOA1(2)

-------------------

-------------------

305, 307

GenBank**

MUSPC3AA

G------T--TC------1

308

RATACACA

---------------A-GT

309

*: Size of PCR products using Go-1224 and Go-1397 as primers.

**: The highest matched sequences in GenBank (re1ease 68.0) next to the G protein DNAs.

Substance P

Another example of clinically useful measurement of mRNA would be for the mRNA of substance P. Substance P is a neurotransmitter. Because the nerves expressing substance P are involyed in pain receptor pathways, the ability to measure the mRNA of substance P would be useful in the development of analgesics.

EXAMPLE 6

Detection of Human Substance P Receptor mRNA from Substance P Receptor cDNA-Transferred Cells, Vector-Transfected Cells, and Evaluation of their Reliability

(1) Preparation of the First Nucleotide Probe

The first nucleotide probe used for quantification of substance P receptor-specific mRNA was an oligodeoxyribonucleotides containing a 5′ amino group. This probe was manufactured using a DNA synthesizer (model 380B, Applied Biosystems, CA) and is shown below:

5′-NH

2

-GGA CTT ATG AGA AAG CGT ACC A-3′ (Seq ID NO:5).

(2) Immobilization of the Second Nucleotide Probe onto Insoluble Supports

The first nucleotide probe were dissolyed in DEPC-treated water at a concentration of 1 μg/μl, then mixed with the EDC/Sulfo-NHS solution described in Example 1 Paragraph (2) in a ratio of 1:25 (Vol:Vol). 50 μl of the above mixed solution was added to each well of a Sumilon microtiter plate (MS-3796F, Sumitomo Bakelite, JAPAN) and the plates were incubated overnight at room temperature. Following incubation, the reaction solution was removed with an aspirator.

(3) Preparation of Standard mRNA

A plasmid vector pKR2 containing human substance P receptor cDNA (provided by Dr. S. Nakanishi, Kyoto University, Japan) was linearized by SmaI (Promega, WI) digestion. Substance P receptor-specific mRNA was prepared by the method described in Example 1 Paragraph (3) using T7 RNA polymerase (Promega, WI). Concentrations of the resultant mRNA were determined by spectrophotometry and then diluted with DEPC-treated water to prepare standard mRNA solutions as described in Example 1 Paragraph (3).

(4) Preparation of Cell Lysates

One line of human T lymphocyte-derived Jurkat cells which had been transfected with substance P receptor cDNA was examined for transcription of substance P receptor mRNA (hereafter called JSP, provided by Dr D. G. Payan, University of California, San Francisco, Calif.). Another line of Jurkat cells which had been transfected with a vector that didn't express substance P receptor (hereafter called JVec, a kind gift of Dr. D. G. Payan, ibid) was used as a negative control. Cells were collected by centrifugation, washed with PBS, and resuspended in lysis buffer at 1×10

7

cells/ml as described in Example 2. The cells were sheared by repeated passage through a 21 gauge needle, then incubated in a slow-shaking waterbath at 45° C. for 1 hour.

(5) Hybridization of the First Nucleotide Probe to mRNA

In order to remove possible RNase contamination in the microtiter wells containing the bound first nucleotide probe, 250 μl of lysis buffer was added and incubated at 45° C. for 1 hour as described in Example 1. The buffer aspirated off, and 50 μl of lysis buffer containing 0.5 M NaCl and various concentrations of standard human substance P receptor-specific mRNA was added into each well, and incubated at 50° C. for 1 hour to allow hybridization as described in Example 1.

(6) Hybridization of the Labeled Second Nucleotide Probe to a Poly(A) Tail of mRNA, and Measurement of Chemical Activities of the Labeled Second Nucleotide Probe

After hybridization of the first nucleotide probe to bound mRNA as described in Paragraph (5) above, the hybridization solution was removed by aspiration and individual wells were washed once with 250 μl of lysis buffer. Five μl of lysis buffer containing 0.5 M NaCl and 1 μl of the biotinylated second nucleotide probe solution (35 pmol/μl) was added into each well and incubated at room temperature for an additional 1 hour to allow the second hybridization as described in Example 1.

Chemical activities of the labeled second nucleotide probe was also measured as described in Example 1.

(7) Preparation of Calibration Line

The calibration line of standard substance P receptor-specific mRNA is shown in FIG.

9

.

(8) Evaluation of Reproducibility

Concentrations of substance P receptor-specific mRNA in JSP and JVec cell lysates were measured twice. Table 7 shows concentrations of mRNA obtained from the calibration line as described in Paragraph (7). Cell numbers from each sample were counted by a phase hemacytometer (American Scientific Products, IL). As shown in Table 14, substance P receptor-specific mRNA concentrations were found in JSP cells that had been transfected with substance P receptor cDNA, but were not detected from JVec cells transfected with only a control vector. This shows that the invented method provides good quantification of a specific mRNA with high reliability. quantification of a specific mRNA with high reliability.

TABLE 14

Concentrations of Substance P Receptor-Specific mRNA

in Jurkat Cells Transfected

with Substance P Receptor cDNA

or Only a Control Vector.

mRNA Concentration

JSP [pg/cell]

JVec [fg/cell]

No. of Assay

(Transfected)

(Control)

1

135

<0.1

2

62.4

<0.1

Oligonucleotide Primers and Probes for the Detection of Jun Oncogenes

One aspect of the present invention relates to DNA primers and probes for the detection of jun oncogenes, such as by PCR. Expression of the jun gene can serve as a marker for cell growth.

It is well known that certain oncogenes, such as jun or fos are most rapidly expressed when cells are stimulated with outside stimuli to proliferate. Therefore, detection or quantification of levels of expression of jun or fos oncogenes will be a good marker for cellular mitogenic activity.

Jun oncogenes are one of oncogenes first reported by Maki, et al. (Proc. Natl. Acad. Sci. USA, 84:2848-2852, 1987), and current intensive molecular cloning identified at least three subtypes of jun oncogenes, such as jun-B, c-jun and jun-D. Based on nucleotide sequence comparison, three subtypes of jun oncogenes in both humans and mice are different (Ryder K, Nathans D, Proc. Natl. Acad. Sci. USA 85:8464-8467, 1988; Ryder K. et al., Proc. Natl. Acad. Sci., USA 85:1487-1491, 1988; Hattori K. et al., Proc. Natl. Acad. Sci. USA 85:9148-9152, 1988; Schuette J. et al., Cell, 59:987-997, 1989). However, because it is still unclear how these three different jun oncogenes are involved in cell growth, one has to analyze all of the three genes during cell growth.

Northern blot analysis is widely accepted in order to detect specific genes (Sambrook J. et al., Molecular cloning. A labcratory manual, 2nd eds. pp. 7.39-7.52), and some investigators have already adapted this method to detect jun oncogenes (Sherman, et al., Proc. Natl. Acad. Sci. USA, 87:5663-5666, 1990; Oursler M J et al., Proc. Natl. Acad. Sci. USA, 88:6613-6617, 1991). In this method, mRNA is first purified from tissues/cell of researchers' interest, separated on agarose gel electrophoresis. After electrophoresis, mRNA is transferred onto membranes, and hybridized with radioactive probes to identify positive band(s) on autoradiography. However, this method is not so sensitive that it is difficult to identify specific signals if materials have only small quantity of genes. Alternatively, because reverse PCR (“Molecular Cloning”) is also used to detect a wide variety of genes from different tissues/cells, this technique is also applicable for the detection of jun oncogene. In this method, mRNA is first convert to cDNA by reverse transcriptase, then specific gene fragments are amplified by PCR by using one set of primers (sense and anti-sense primers). Amplified gene can be seen on agarose gel electrophoresis in the prepense of ethidium bromide. This method is much more sensitive than the conventional Northern blot analysis, but in order to detect three different subtypes of jun oncogenes, one has to prepare six primers. Also, because of different nucleotide sequences between humans and mice, one has to prepare human and mice primers separately.

One goal we accomplished with the present invention was the design of oligonucleotide sequences for both sense and anti-sense primers that could be readily used for detecting the minuscule amounts of the jun gene found in vivo. We also wanted these primers to be useful for detecting both human and murine jun sequences. Thus, we selected primers which fulfilled the below conditions:

(a) A common nucleotide sequence among three subtypes of jun oncogenes (jun-B, c-jun and jun-D), with maximum 4 base mismatches among them;

(b) A common nucleotide sequence among humans and mice, with maximum 4 base mismatches between them;

(c) At least 5 bases from 3′ end are 100% identical without any mismatches among three subtypes and between humans and mice;

(d) A nucleotide sequence length in both sense primer and anti-sense primer from 17 to 50;

(e) A difference of T

m

between sense primer and anti-sense primer is within 2 degree C.;

(f) Lack of complementary structure with more than 4 bases long in either the sense or the anti-sense primer;

(g) Lack of complementary structure with more than 4 bases long between the sense and the anti-sense primer;

(h) Both the sense and the anti-sense primer exist in the area of coding sequence;

(i) The length of DNA to be amplified is greater than 200 bases; and

(j) The nucleotide sequence homology of amplified genes among three subtypes of jun oncogenes is not greater than 80%, and after gene amplification by the PCR, one can characterize each subtype of jun ongenes by Southern Blot.

DNA fragments (both sense and anti-sense primers) which satisfy the conditions as shown above were investigated and the several candidate oligonucleotides were synthesized. The test results showed the sense primer 5′-CCCTGAAGGAGGAGCCGCAGAC-3′ (SEQ ID NO:310) and anti-sense primer 5′-CGTGGGTCAAGACTCTGCTTGAGCTG-3′ (SEQ ID NO:324) were desirable candidates.

Table 15 shows the nucleotide sequence homology between a preferred sense primer and three subtypes of jun oncogenes in both humans and mice.

TABLE 15

Sense primer

5′-CCCTGAAGGAGGAGCCGCAGAC-3′

(SEQ ID NO:310)

Mouse

jun-B --T-T--A--------------

(SEQ ID NO:311)

c-jun ----------A-----------

(SEQ ID NO:312)

Human

jun-B --T-C--------A--------

(SEQ ID NO:313)

c-jun ----------------T-----

(SEQ ID NO:314)

-: indicates identical base to the sense primer.

In addition, Table 16 shows the nucleotide sequence homology between the sense primers and three subtypes of jun oncogenes in both humans and mice.

TABLE 16

Antisense primer

3′-GTCGAGTTCGTCTTTCAGAACTGGGTGC-5′

(SEQ ID NO:315)

Mouse jun-B

------------C-------A-

(SEQ ID NO:316)

c-jun

-----------------T----

(SEQ ID NO:317)

jun-D

----T-------G-G-C-----

(SEQ ID NO:318)

Human jun-B

----T----C------------

(SEQ ID NO:319)

c-jun

----T-----------------

(SEQ ID NO:320)

-: indicates identical base to the sense primer.

Also, Table 17 shows nucleotide sequence homology of amplified genes between each of subtypes of jun oncogenes.

TABLE 17

Subtypes

Homology (%)

jun-B & c-jun

72.0

jun-B & jun-D

73.6

c-jun & jun-D

75.3

Table 18 shows the homology between human and mouse subtypes.

TABLE 18

Subtypes

Homology between human & mouse (%)

jun-B

93.0

c-jun

91.9

The primer sequences can be modified in a variety of ways. For example, a primary amine residue, nucleotide sequence recognized by a restriction enzyme, or RNA promoter sequences for further modification after PCR amplification, can be added to the 5′ end of the primers. These modifications are represented herein by the designation “X”. Thus, for example, a modified primer as shown in Table 16, can be represented as 5′-XCGTGGGTCAAGACTTCTGCTTGAGCTG-3′ (SEQ ID NO:86) can also be used, in which X represents the primary amine residue, nucleotide sequence recognized by the restriction enzyme, or RNA promoter sequences for further modification after PCR amplification.

The attachment of a restriction site at the 5′ end (X) is useful for cloning of amplified genes. The attachment of RNA promoter sequences at 5′ end (X) is useful in RNA transcription and RNA transcription-based amplification. The attachment of primary amine at the 5′ end is useful for coupling reaction to labeling compounds or solid supports, so that the amplified gene can be easily quantfied.

For the above-mentioned nucleotide sequence (X) which undergoes cutting by a restriction enzyme, instead of those nucleotide sequences with higher frequency such as Eco RI or Bam HI, it is often desirable to use longer recognition sequences (e.g. 8 bases) which appear in lower frequency such as the nucleotide sequence, 5′-GCGGCCGC-3′, which is recognized by NotI or the nucleotide sequence, 5′-TTAATTAA-3′, which is recognized by PacI. The reason for this is the relatively common nucleotide sequences recognized by EcoRI or BamHI can result in false positive reaction during PCR amplification because of priming of primers to undesirable DNA sequences.

The above-mentioned nucleotide sequence (X) containing an RNA promoter can be any of a variety of such sequences, such as the T7, SP6 or T3 RNA promoter sequences.

The above-mentioned primary amine residues (X) can be added at the 5′ end during oligonucleotide synthesis.

The DNA fragments for the sense primer and anti-sense primer in this invention can be easily synthesized in DNA synthesizer which are available in the market. These synthesized oligonucleotides can be purified by high pressure liquid chromatography or gel electrophoresis.

The test material to be analyzed is usially a total RNA or purified mRNA from cells or tissues. If desired, cells or tissues can be tested in their natural state without any pretreatment; however, in the case of drug testing, this can be accomplished by reacting the drug with cells or tissues in the test tube, or the drug can be administered (intravenous injection, subcutaneous injection, intramuscular injection, oral administration, intra-abdominal injection) to a laboratory animal, and after a set time period, cells or tissues can be removed for RNA/mRNA purification.

Methods of purification of total RNA or mRNA are well known in the art. Examples of such methods are the standard protocol described in Sambrook, et al., “Molecular Cloning, A Laboratory Manual, 2nd Ed.,” Cold Spring Harbor Press, Cold Spring Harbor, N.Y. (1989), and a commercially available kit such as FastTrack from Invitrogen (San Diego, Calif.). In either case, in order to avoid introducing RNase, hands should preferably be protected with vinyl gloves, and the instruments used for experiments not be touched with bare hands. Also, any glass containers to be used in the experiments should be heated prior to use at approximately 250 degrees C for at least 4 hours. Furthermore, 0.1% diethyl pyrocarbonate (hereafter abbreviated DEPC) is added to the water which is to be used, and after incubation at 37 degrees C overnight, treated water is autoclaved. Other basic procedures are undertaken as outlined in the “Molecular Cloning,” pp. 7.3-7.5. Vanadyl ribonucleoside complex can also be added to samples as described above.

The method of synthesis of cDNA from mRNA template using reverse transcriptase is described in the “Molecular Cloning,” pp. 8.11-8.13.

For PCR amplification, synthesized cDNA is mixed with sense primer, antisense primer, 4 types of deoxynucleotides (dATP, dCTP, dGTP and dTTP), Taq polymerase, inorganic salts, and other necessary materials, and PCR reaction is undertaken in the Thermal cycler (Perkin-Elmar Cetus). A typical PCR method is described in “Molecular Cloning,” pp. 14.2-14.33).

In order to analyze the amplified gene, it is appropriate to use electrophoresis. After the amplified gene undergoes electrophoresis in agarose gel, the DNA is stained with ethidium bromide. The amplified DNA band will be then visible under fluorescent light as described in “Molecular Cloning,” pp. E.3-E.4. After taking photographs of the DNA band, it is also possible to quantify the intensity of each bands by scanning photographs and analysis of scanned picture by commercially available system, such as Stratascan (Stratagene, La Jolla).

Furthermore, after agarose gel electrophoresis, amplified genes can be transblotted onto membranes, and subtypes specific genes can be detected by hybridizing with labeled probes followed by exposing labeled signals, such as 32P or chemiluminescence to either Polaroid films or X-ray films (Southern blot).

EXAMPLE 7

Synthesis of Sense and Anti-Sense Primers and Amplification of Mouse Clones of Jun Oncogenes

The sense primer SEQ ID NO:9 (s943-2) and the anti-sense oligonucleotide SEQ ID NO:10 (AS1132-2) were synthesized by a synthesizer 380 B type (Applied Biosystems Co.). After treatment with ammonium hydroxide at 55° C. overnight, synthesized oligonucleotides were dryed in a Speed-Vac (Savant Co.), and the concentration was adjusted at 1 microgram/ml with water, and was stored at −20 degrees C until use.

1 microliter of one of the three types of mouse jun clones (jun-B, c-jun, or jun-D, obtained from ATCC), 1 microliter of sense primer, 1 microliter of anti-sense primer, 5 microliters of 10×buffer for PCR (Promega), 1 microliter of 25 mM magnesium chloride, 4 microliters of 10 mM dNTP mix, and 0.5 microliters of Taq polymerase (Promega) were missed, and water was added up to a total volume of 50 microliters. After adding of two drops of mineral oil, PCR was undertaken using the thermal cycler, model 480. After reaction mixture was heated at 95 degree C for 10 min, PCR was carried out with the following cycles 30 times: annealing at 55 degrees C for 1.5 minutes, extension at 72 degrees C for 4 minutes, and denaturing at 95 degrees C for 1.5 minutes.

After PCR, 10 microliters of the sample were mixed with 1 microliter of 10×loading buffer (0.25% bromophenol blue, 0.25% xylenecyanol FF, and 15% Ficoll, Type 400), and electrophoresis was carried out in 1.5% agarose gel containing 5 microgram/ml ethidium bromide. After electrophoresis, the amplified DNA bands were visualized by an ultraviolet light.

As a result, it was found that in each of the cases where the clones jun-B, c-jun, and jun-D were used, a single band for the amplified DNa was observed at the position of approximately 270 bp. This indicates that the above-mentioned set of primers can recognize and amplify all three types of mouse jun oncogenes, such as jun-B, c-jun, jun-D.

(1) Alternative Synthesis of PCR Primers for Amplification of Jun Gene Specific mRNA

Sense (jun-s) and antisense (jun-as) oligodeoxyribonucleotides specific for jun oncogenes were synthesized in a DNA synthesizer as described above. The nucleotide sequences were as follows:

jun-s 5′-CCCTGAAGGAAGAGCCGCAGAC-3′ (Seq ID NO: 11)

jun-as 5′-CGTGGGTCATGACTTTCTGCTTGAGCTG-3′ (Seq ID No: 12)

(2) PCR Amplification of cDNA

To 1 μl of ss-cDNA as described in paragraph (IV), 0.1 μg (1 μl) each of jun-s and jun-as oligonucleotides, 5 μl of 10×PCR buffer (Promega), 1 μl of 25 mM MgCl

2

, 4 μl of 10 mM dNTIP mixture (Promega), 0.5 μl Taq polymerase (Promega), and 36.5 μl of DEPC-water were mixed. Two drops of mineral oil were overlayered onto the reaction mixture to prevent evaporation. The reaction mixture was first heated at 95° C. for 10 minutes, then PCR was carried out in a Thermal cycler (Model 480, Perkin-Elmer Cetus) with 30 cycles of annealing at 55° C. for 1.5 minutes, extension at 72° C. for 4 minutes and denaturing at 95° C. for 1.5 minutes as described above.

Ten μl of the resultant PCR products were then mixed with 1 μl of 10×loading buffer, and applied to a 1.5% agarose gel containing 5 μg/ml ethidium bromide. Electrophoresis was carried out in a 1×TBE buffer at 100 V/6.5 cm width for approximately 1 hour. After electrophoresis, fluorescent DNA bands were recorded onto Polaroid film. Lanes 1-8 of

FIG. 17

indicate duplicate experiments of a 1:1000 dilution, full strength (equivalent to 1 ml of blood), 1:10, and 1:100 dilution respectively of a leukocyte lysate. As shown in

FIG. 17

, the jun oncogene was amplified from the 1:10 and 1:100 dilution displaying an estimated size of 370 base pairs. This size is similar to the 372 bp theoretical value.

EXAMPLE 8

The Effect of Pretreatment with EGF on Expression of Jun Oncogenes in Human Mononuclear Leukocytes

(1) Pretreatment of Human Leukocytes with EGF

40 ml of phosphate buffered saline (PBS) is added to 20 ml of heparinized human blood and mixed. 10 ml each of this sample is overlayered onto 3 ml of IsoLymph, then centrifuged for 30 minutes at 400×g. After washing the pellet three times with PBS, the pellet is resuspended in 3 ml of PBS. 1 ml each of this sample is then placed in three tubes (No. 1 to No. 3). 1 ml of PBS is placed in the fourth tube as control. The total of four tubes are incubated for 10 minutes at 37 degrees C, then EGF (Epidermal Growth Factor) is placed in tube No. 1 at a final concentration of 30 ng/ml. After 15 minutes, EGF is placed in the same manner in tube No. 2, and incubated for another 5 minutes. After 5 min, RNA is extracted from all 4 tubes simultaneously. Thus, the time period of the pretreatment of human leukocytes by EGF is 20 minutes for tube No. 1, 5 minutes for tube No. 2, 0 minutes for tube No. 3.

(2) Extraction of RNA from Cells

The above four tubes are taken out and undergo centrifugation by microfuge for 10 seconds. Then, the supernatant is discarded and the below described lysis buffer is added to the pellet, and after thorough mixing, this is incubated for 30 minutes at 45 degrees C.

Contents of lysis buffer:

10 mM EDTA pH 8.0

0.5% SDS (bacteria removed by non-bacterial filter)

0.2 M NaCl

DEPC treated water

RNA inhibitor 500 unites/ml

Vanadyl Complex 10 mM

Proteinase K 200 microgram/ml

(3) Purification of mRNA

After 5 M NaCl is added to the above cell lysates to obtain a final concentration of 0.5 M, oligo (dT) cellulose (Stratagene Co.) is added, and undergoes a reaction for 30 minutes at room temperature. Then, after washing the cellulose in 10 ml binding buffer (20 mM Tris-HCl, pH 7.6, 1 mM EDTA, 0.5 M NaCl) 5 times, 0.35 ml of DEPC treated water is added, and mRNA is eluted from the solid phase. Then, 53 microliters of 2 M sodium acetate and 2.5 times the volume of ethanol are added, and after cooling in a dry ice for 20 minutes, this undergoes centrifugation at 15,000 rpm for 20 minutes. After washing the pellet in 75% ethanol one time, this is dried, and then dissolyed in 10 microliters of DEPC treated water.

(4) Synthesis of cDNA

50 mM Tris-HCl (pH 8.3), 75 mM KCl, 3 mM magnesium chloride, 10 mM DTT, 0.5 mM dNTP (dATP, dCTP, dGTP, dTTP), 50 micrograms/ml oligo (dT) primer, and 10,000 units/ml reverse transcriptase are added to 10 microliters of mRNA obtained from above to a total volume of 20 microliters, and this undergoes a reaction for one hour at 37 degrees C. After the reaction, 20 microliters of a phenol:chloroform:isoamyl alcohol mixture is added, and cooled for 20 minutes in a dry ice to precipitate the cDNA. After centrifugation for 20 minutes at 10,000 rpm, the pellet is washed one time in 75% ethanol. Then, after drying, this is dissolyed in 20 microliters of autoclaved water, and stored at −20 degrees C.

(5) PCR

1 microliter each of sense primer and anti-sense primer (1 mg/ml) for jun gene amplification are added with 2 microliters of cDNA. After mixing this with 50 mM KCl, 10 mM Tris-HCl (pH 8.4), 2.0 mM magnesium chloride, 100 micrograms/ml gelatin, and 0.2 mM dNTP, 2.5 units of Taq polymerase are added (final volume is 50 ml). After reaction mixture was heated at 95 degree C for 10 minutes, PCR was carried out with the following cycles 30 times: annealing at 55 degrees C for 1.5 minutes, extension at 72 degrees C for 4 minutes, and denaturing at 95 degrees C for 1.5 minutes.

(6) Agarose Gel Electrophoresis

After completing PCR, 10 microliters of the reacted solution is taken and undergoes electrophoresis in the same method as described in Example 7. The results showed that in the leukocytes which did not undergo treatment with EGF (i.e., sample which underwent 0 treatment time in tube No. 3) was found to have a minimal band for the amplified DNA at the position of about 270 bp size. However, it was found that the band of amplified DNA was increased after 5 min, then returned to the basal levels within 20 min.

EXAMPLE 9

Effect of Pretreatment with PHA on Jun Gene Expression in Human Leukocytes

In the place of EGF, PHA (at a final concentration of 10 micrograms/ml) was utilized and the pretreatment times were set at 0 minutes, 5 minutes, 15 minutes, and 30 minutes. Other procedures were identical to those of Example 8. As a result, with the pretreatment with PHA done at 15 minutes, it was found that the band for the amplified DNA at the position of approximately 270 bp was maximized, but (the time periods) afterwards, this band decreased.

As with the other mRNAs that can be analyzed in accordance with the methods of the present invention, a variety of jun sequences could serve as sense or antisense primers for PCR methods or as probes for the detection of mRNA as described herein. A method for identification of such sequences that are either common to a variety of jun mRNAs or specific to a particular species is provided hereinbelow. In the preferred embodiment of this method of identification, a computer program is used to identify the sequences. Through use of such a program, we have identified a large number of both common and specific primers and probes. Provided as Tables 19 through 24 are various sense sequences identified through the use of such a program that are useful as jun gene probes and primers.

All of the sequences listed in these tables are useful within the context of the PCR methods of the present invention. The complementary antisense sequences are also useful in certain aspects of the invention. As will be known by those having ordinary skill in the art, for common probes that are similar, but not identical to target sequences, stringency conditions can be varied (e.g. by changes in temperature and salinity) so that such probes will hybridize or fail to hybridize with a particular target sequence. Thus, also included within the present invention are sequences thar are capable of hybridizing with the same sequences as either the sense sequences listed or their anti-sense counterparts. Additional probes for jun genes include the following:

Common Jun Gene Probes

5′-CCATGTCGATGGGGGACAGCGG-3 (SEQ ID NO: 13)

5′-CTGTTTAAGCTGCGCCACCTG-3′ (SEQ ID NO: 14)

5′-GTCTGCGGCTCCTCCTTCAGGG-3′ (SEQ ID NO: 15)

5′-CGTGGGTCAAGACTTTCTGCTTGAGCTG-3′ (SEQ ID NO: 16)

Specific Probes

B type: 5′-CACITGGTGGCCGCCAG-3′ (SEQ ID NO: 17)

C type: 5′-GAGCATGTFGGCCGTGG-3′ (SEQ ID NO: 18)

Human D type: 5′-GATGCGCTCCTGCGTGT-3′ (SEQ ID NO: 19)

Mouse D type: 5′-GCCTGTTCTGGCTTTTGAGGG-3′ (SEQ ID NO: 20)

TABLE 19

Jun-common sense primer (S943-2).

Locus

Sequences (5′-3′)

GenBank

Pos

CCGCTGTCCCCCATCGACATGG

Human

B: humjunca

1189

SEQ ID NO: 21

---G----------A------

C: humjuna

1981

SEQ ID NO: 22

--C------------------

D: humjundr

943

SEQ ID NO: 23

---T----G------------

Mouse

B: musjunba

1079

SEQ ID NO: 24

--TG----------A------

C: musjunc

1344

SEQ ID NO: 25

--C--------T---------

C: muscjun

1646

SEQ ID NO: 26

--C--------T---------

C: musjun

1084

SEQ ID NO: 27

--C--------T---------

D: musjund

927

SEQ ID NO: 28

--------G------------

D: musjunda

782

SEQ ID NO: 29

--------G------------

D: musjundr

793

SEQ ID NO: 30

--------G------------

Rat

C: atjunap1

1082

SEQ ID NO: 31

--CT-----------------

C: ratrjg9

2984

SEQ ID NO: 32

--CT-----------------

Chicken

C: chkjun

1470

SEQ ID NO: 33

--C-------T--T-------

Quail

C: quljun

1186

SEQ ID NO: 34

--C-------T--T-------

Drosophila

C: drojun

1038

SEQ ID NO: 35

A-CG-TAAT-----T------

Highest matched sequences in EMBL

SDNAM2G Yeast NAM2 gene (SEQ ID NO:36)

--------A-A------GAAT

PRK2TRFB Plasmid PK2 trfB ope (SEQ ID NO:37)

GT--------------GC-T-

DMSYT D.metanogaster synap (SEQ ID NO: 38)

------G-A----UC------

TABLE 20

Jun-common antisense primer (AS1132-2).

Sequences (5′-3′)

Locus

Pos

GTCCACCGCGTCGAATTTGTC

Human

B: humjunca

1378 (SEQ ID NO: 39)

-------G------G------

C: humjuna

2170 (SEQ ID NO: 40)

-------T-------------

D: humjundr

1132 (SEQ ID NO: 41)

--------------G--C---

Mouse

B: musjunba

1268 (SEQ ID NO: 42)

--T-----------G--C---

C: musjunc

1835 (SEQ ID NO: 43)

--------T--------C---

C: muscjun

1273 (SEQ ID NO: 44)

--------T--------C---

C: musjun

1533 (SEQ ID NO: 45)

--------T--------C---

D: musjund

982 (SEQ ID NO: 46)

-----------GC-G------

D: musjunda

1116 (SEQ ID NO: 47)

--------------G------

D: musjundr

971 (SEQ ID NO: 48)

-------------G------

Rat

C: atjunap1

127l (SEQ ID NO: 49)

--------T------------

C: ratrjg9

3173 (SEQ ID NO: 50)

--------T------------

Chicken

C: chkjun

1659 (SEQ ID NO: 51)

-----A--T--------C---

Quail

C: quljun

1375 (SEQ ID NO: 52)

-----A--T--------C---

Drosophila

C: drojun

1227 (SEQ ID NO: 53)

--A-------GC-C--C---

Highest matched sequences in EMBL

HSATFA

Human mRNA for ATF-a (SEQ ID NO: 54)

C-------G---A-C-------

ECDCM

E. coli

dom gene (SEQ ID NO: 55)

AA----------------ACCA

ECDCMA

E. coli

dom (SEQ ID NO: 56)

AA----------------ACCA

OCIGKCI

Rabbit Ig germkine (SEQ ID NO: 57)

k--------G--------G-CGA

OCIGO5

Rabbit Ig k2 L chain (SEQ ID NO: 58)

--------G--------G-CGA

OCK1B4

Rabbit Ig kappa L (SEQ ID NO: 59)

-------G---------G-CGA

OCIGKCG

Rabbit Ig kappa2 J-C (SEQ ID NO: 60)

---------G--------G-CGA

OCIGKCO2

Rabbit Ig kappal J-C (SEQ ID NO: 61)

---------G--------G-CGA

TABLE 21

Jun-B specific probe (B-1258).

GenBank

B1258(5′-3′)

CTGGCGGCCACCAAGTG

Human

B: HUMJUNCA

-----------------

(SEQ ID NO: 62)

C: HUMJUNA

A-C--T---T-------

(SEQ ID NO: 63)

D: HUMJUNDR

A-----------TCCAA

(SEQ ID NO: 64)

Mouse

B: MUSJUNBA

-----------------

(SEQ ID NO: 65)

C: MUSJUNC

A-T--C---T-------

(SEQ ID NO: 66)

MUSCJUN

A-T--C---T-------

(SEQ ID NO: 67)

MUSJUN

A-T--C---T-------

(SEQ ID NO: 68)

D: MUSJUND

-----C------CCCG-

(SEQ ID NO: 69)

MUSJUNDA

------T-----GCCA-

(SEQ ID NO: 70)

MUSJUNDR

------T-----GCCA-

(SEQ ID NO: 71)

Rat

C: RATRJG9

------T-----GCCAA

(SEQ ID NO: 72)

RATJUNAP

A-C--T---T-------

(SEQ ID NO: 73)

Chicken

C: CHKJUN

-C-----G------CCC

(SEQ ID NO: 74)

Quail

C: QULJUN

GGC-----AG----TG-

(SEQ ID NO: 75)

Drosophila

C: DROJUN

G----T--AT-------

(SEQ ID NO: 76)

Homologous sequences in GenBank

J04695

FIG. 2. Nucleo.

G--------A------G

(SEQ ID NO: 77)

M27884

FIG. 2. Nucleo.

--------A------GC

(SEQ ID NO: 78)

HUMCNPG2

green cone photo.

-------------T-AA

(SEQ ID NO: 79)

HUMCNPR2

green cone photo.

-------------T-AA

(SEQ ID NO: 80)

HUMPIGMF2

colour-blind pho.

-------------T-AA

(SEQ ID NO: 81)

TABLE 22

c-jun specific probe (C2147).

C2147.DNA

Subtype

GenBank name

CCACGGCCAACATGCTC

Human

B:

HUMJUNCA

-G---A---C---CAGC

(SEQ ID NO: 82)

C:

HUMJUNA

-----------------

(SEQ ID NO: 83)

D:

HUMJUNDR

-------G-G-C----G

(SEQ ID NO: 84)

Mouse

B:

MUSJUNBA

-G-------C---CAGC

(SEQ ID NO: 85)

C:

MUSJUN

-----------------

(SEQ ID NO: 87)

MUSCJUN

-----------------

(SEQ ID NO: 88)

MUSJUNC

-----------------

(SEQ ID NO: 89)

D:

MUSJUND

----C----G-C----G

(SEQ ID NO: 90)

MUSJUNDR

----C----G-C----G

(SEQ ID NO: 91)

MUSJUNDA

----C----G-C----G

(SEQ ID NO: 92)

Rat

C:

RATJUNAP

-----------------

(SEQ ID NO: 93)

RATRJG9

----C------------

(SEQ ID NO: 94)

Chicken

C:

CHKJUN

-----------------

(SEQ ID NO: 95)

Quail

C:

QULJUN

----T------------

(SEQ ID NO: 96)

Drosophila

C:

DROJUN

CCTACA--------ACC

(SEQ ID NO: 97)

Homologous sequences in GenBank

MXBPALPA

L.enzymogenes

-------------CG--

(SEQ ID NO: 98)

MXBPALP

L.enzymogenes

-------------CG--

(SEQ ID NO: 99)

TABLE 23

Human jun-D specific probe (HUMD965)

HUMD965

Subtype

GenBank name

ACACGCAGGAGCGCATC

Human

B:

HUMJUNCA

GG-A--T----------

(SEQ ID NO: 100)

C:

HUMJUNA

-GT-C--------G---

(SEQ ID NO: 101)

D:

HUMJUNDR

-----------------

(SEQ ID NO: 102)

Mouse

B:

MUSJUNBA

-AGAC------------

(SEQ ID NO: 103)

C:

MUSJUNC

-GT-T--------G---

(SEQ ID NO: 104)

MUSCJUN

-GT-T--------G---

(SEQ ID NO: 105)

MUSJUN

-GT-T--------G---

(SEQ ID NO: 106)

D:

MUSJUND

-------A--A------

(SEQ ID NO: 107)

MUSJUNDA

-------A--A------

(SEQ ID NO: 108)

MUSJUNDR

-------A--A------

(SEQ ID NO: 109)

Rat

C:

RATJUNAP

-GT-T--------G---

(SEQ ID NO: 11O)

RATRJG9

-GT-T--------G---

(SEQ ID NO: 111)

Chicken

C:

CHKJUN

-GT--------A-A---

(SEQ ID NO: 112)

Quail

C:

QULJUN

-GT--------A-A---

(SEQ ID NO: 113)

Drosophila

C:

DROJUN

G--A--T----------

(SEQ ID NO: 114)

Homologous sequences in GenBank

CELPOLII

C.elegans RNA

-------------A-AA

(SEQ ID NO: 115)

ECOPRIAY

E. coli

primo.

-ACA-------------

(SEQ ID NO: 116)

SINOCK82

Ockelbo 82 g.

C-------------TGC

(SEQ ID NO: 117)

TRPPROC

Treponema pa.

G-------------TGC

(SEQ ID NO: 118)

ECOCYSJIHA

E. coli

NADPH-

------T-------G-G

(SEQ ID NO: 119)

TABLE 24

Mouse jun-D specific probe (MUSD1063).

MUSD1063.DNA

Subtype

GenBank name

CCCTCAAAAGCCAGAACACCG

Human

B:

HUMJUNCA

-G-----GGC-G-----G-G-

(SEQ ID NO: 120)

C:

HUMJUNA

AA--GC-C-----------GC

(SEQ ID NO: 121)

D:

HUMJUNDR

-------G--T--------G-

(SEQ ID NO: 122)

Mouse

B:

MUSJUNBA

TA---TCC----TCTG----C

(SEQ ID NO: 123)

C:

MUSJUNC

AA--GC-T-----------GC

(SEQ ID NO: 124)

MUSJUN

AA--GC-T-----------GC

(SEQ ID NO: 125)

MUSCJUN

AA--GC-T-----------GC

(SEQ ID NO: 126)

D:

MUSJUNDA

---------------------

(SEQ ID NO: 127)

MUSJUNDR

---------------------

(SEQ ID NO: 128)

MUSJUND

---------------------

(SEQ ID NO: 129)

Rat

C:

RATRJG9

G-----GCC---GC-C---TT

(SEQ ID NO: 130)

RATJUNAP

G-----GCC---GC-C---TT

(SEQ ID NO: 131)

Chicken

C:

CHKJUN

A---G-GG-A-A-----G---

(SEQ ID NO: 132)

Quail

C:

QULJUN

---C--G-T-----TG--G-A

(SEQ ID NO: 133)

Drosophila

C:

DROJUN

A------GGA---TGTGGCGC

(SEQ ID NO: 134)

Homologous sequences in GenBank.

M27221

TG--------T--T-------

(SEQ ID NO: 135)

DROAMY

D.erecta

G-------G-A--T-------

(SEQ ID NO: 136)

DROAMYQ

D.erecta

G-------G-A--T-------

(SEQ ID NO: 137)

HUMIGCMUDE

Immunoglob.

A--C--------------GTT

(SEQ ID NO: 138)

TABLE 25

Human-rodent common jun-B specific probes.

Name in

B-504 (5′-3′)

B-739 (5′-3′)

Size

GenBank

CACGACTACAAACTCCTGAAAC

Seq. ID No:

GGACAGTACTTTTACCCCCG

Seq. ID No:

(bp)

Mouse

jun-B

MUSJUNBA

----------------------

600

--------------------

321

251

c-JUN

MUSCJUN

A-AT--A-T-----AT-----A

601

ACC----T---G-G----AA

322

jun-D

MUSJUND

T----G-C--C-T-----TTCC

602

ACG----T-C-C-----GAA

323

Human

jun-B

HUMJUNCA

----------------------

603

--------------------

325

251

C-jun

HUMJUNA

AGTA--CC---GA---------

604

---A--C-GCGG------AC

326

jun-D

HUMJUNDR

T----G-C--C-T-----TTTG

605

TC-----T-C-C------AA

327

GenBank

MUSMETI

-------T---CG------GTA

606

RATMYHCD2

------C-------AT---A

328

*Size of PCR products using B-504 and B-739 as primers.

**The highest matched sequences in GenBank (release 68.0) next to the jun genes.

TABLE 26

Human-rodent common c-jun specific probes.

Name in

C-2101 (5′-3′)

C-2219 (5′-3′)

Size

GenBank

GAGGAAAAAGTGAAAACCTTGAAAGC

Seq. ID No:

GCCAACTCATGCTAACGCAG

Seq. ID No:

(bp)

Mouse

jun-B

MUSJUNBA

-----C--G-----G--AC-C--G--

614

----GT-GC-----GG-GTC

329

c-JUN

MUSCJUN

--------------------------

615

--------------------

330

138

jun-D

MUSJUND

-----G-----C--G---C-C---AG

616

T----A-GCC--A-G----A

331

Human

jun-B

HUMJUNCA

-----C--G-----G--GC-C--G--

617

----G-C-CC-AG-----GC

332

C-jun

HUMJUNA

--------------------------

618

--------------------

333

138

jun-D

HUMJUNDR

--A--G--------G---C-C--GAG

619

T----G-GCC--A-G----A

334

GenBank

HUMGASTA

A-A------AA-----A---A-----

620

MUSOCT22

C------------G---GGC

335

*Size of PCR products using C-2101 and C-2219 as primers.

**The highest matched sequences in GenBank (release 68.0) next to the jun genes.

TABLE 27

Human-rodent common jun-D specific probes.

Name in

D-916 (5′-3′)

D-1153 (5′-3′)

Size

GenBank

GACGTGCCGAGCTTCGG

Seq. ID No:

AAAGTCCTCAGCCACGTCAAC

Seq. ID No:

(bp)

Mouse

jun-B

MUSJUNBA

CTG-G-------ACT--

628

--G---A-G-C---T----G-

336

c-JUN

MUSCJUN

T-A-----AG---AGAC

629

------A-G-A------T---

337

258

jun-D

MUSJUND

-----------------

630

---------------------

338

Human

jun-B

HUMJUNCA

C---C----CC-----C

631

--G---A-G-C--------G-

339

C-jun

HUMJUNA

T-A---TT-----CG--

632

------A-G-A------T---

340

jun-D

HUMJUNDR

-----------------

633

---------------------

341

258

GenBank

HUMTRKR

------TG---------

634

HUMBSSL

---A-----------A--CTG

342

*Size of PCR products using D-916 and D-1153 as primers.

**The highest matched sequences in GenBank (release 68.0) next to the jun genes.

Identifying Probes and PCR Primers

Probes and PCR primers for use in the methods of the present invention can be identified in any way known to the art. Preferably, however, such probes and primers are identified by a computer. We have developed a novel computer system for identifying the sequences to be used in such probes and primers. This system is an automated system which allows the user to calculate and design extremely accurate oligonucleotide probes and PCR primers.

The software of the present invention runs under Microsoft Windows® on IBM® compatible personal computers (PC's). This invention allows a researcher to design oligonucleotide probes based on the GenBank database of DNA and mRNA sequences. The present invention further allows examination of probes for specificity or commonality with respect to a user-selected target gene sequences. Hybridization strength between a probe and a target subsequence of DNA or mRNA can be estimated through a hybridization strength model. Quantitatively, hybridization strength is given as the melting temperature (Tm).

Two models for estimating hybridization strength models are supported by this invention: 1) the Mismatch Model and 2) the H-Site Model. In either case, the user can select the following calculations for each probe, results of which are then made available for display and analysis: 1) Sequence, Melting Temperature (Tm) and Hairpin characteristics (a hairpin is a nucleoitide sequence that is homologous to itself and can “fold back” with one portion of the probe hybridizing to another portion of the same probe); 2) Hybridization to other species within the preparation mixture; and (3) Location and Tm for the strongest hybridizations. The results of the invention's calculations are then displayed on a Mitsuhashi Probe Selection Diagram (MPSD) which is a graphic display of all potential hybridizations between the target mRNA and the probe sequences in the preparation.

The Main OligoProbe Design Station dialog window controls all user-definable settings in the program. The user is offered a number of options at this window. The File option allows the user to print, print in color, save selected probes, and exit the program. The Preparation option allows the user to open and create preparation (PRP) files. The Models option allows the user to chose between the two hybridization models currently supported by the OligoProbe DesignStation: 1) the H-Site Model and 2) the Mismatch Model.

If the user selects the H-Site Model option, the melting temperature for each probe and the nucleation threshold parameters can be set. The nucleation threshold is the number of base pairs constituting a nucleation site (a subsequence with an exact match). If the user selects the Mismatch Model option, the probe length and mismatches (N) can be set.

Mismatch Model

The Mismatch Model is used for designing DNA and mRNA probes utilizing sequence database information from sources such as GenBank. In this Model, hybridization strength is related only to the number of base pair mismatches between a probe and its target. Generally, the more mismatches a user allows when setting parameters, the more probes will be identified. The Mismatch Model does not take into account the GC content of candidate probes so there is no calculation of the probe's binding strength.

The basic technologies employed by the Mismatch model are hashing and continuous seed filtration. Hashing involves the application of an algorithm to the records in a set of data to obtain a symmetric grouping of the records. When using an indexed set of data such as a database, hashing is the process of transforming a record key to an index value for storing and retrieving a record. The Mismatch Model is essentially a quick process for determining exact and inexact matching between DNA and mRNA sequences to support the Mitsuhashi Probe Selection Diagram (MPSD).

The algorithm used by the Mismatch Model is based on the Waterman-Pevzner Algorithm (WPALG), which is a computer-based probe selection process. Essentially, this is a combination of new and improved pattern matching processes. See Hume and Sunday (1991, Ref. 4), Landau et al (1986-1990, Refs. 6, 7, 8), Grossi and Luccio (1989, Ref. 3), and Ukkonen (1982, Ref. 14).

There are three principal programs that make up the Mismatch Model in this implementation of the invention. The first is designated by the inventors as “k_diff.” WPALG uses k_diff to find all locations of matches of length greater than or equal to one (1) (length is user-specified) with less than or equal to k number of mismatches (k is also user-specified) between the two sequences. If a candidate oligonucleotide probe fails to match that well, it is considered unique. k_diff uses hashing and continuous seed filtration, and looks for homologs by searching GenBank and other databases with similar file formats. The technique of continuous seed filtration allows for much more efficient searching than previously implemented techniques.

A seed is defined in this invention to be a subsequence having a length equal to the longest exact match in the worst case scenario. For example, suppose the user selects a probe length (l) of 18, with 2 or fewer mismatches (k). If a match exists with 2 mismatches, then there must be a perfectly matching subsequence of length equal to 6. Once the seed length has been determined, the Mismatch Model looks at all substrings of that seed length (in this example, the seed length would be 6), finds the perfectly matched base pair subsequence of length equals 6, and then looks to see if this subsequence extends to a sequence of length equal to the user selected probe length (i.e., 18 in this example). If so, a candidate probe has been found that meets the user's criteria.

Where the seed size is large (i.e., a long string of unique nucleotides), the program allocates a relatively large amount of memory for the hash table. This invention has an option that allows memory allocation for GenBank entries just once at the beginning of the program, instead of reallocating memory for each GenBank entry. This reduces input time for GenBank entries by as much as a factor of two (2), but this method requires the user to know the maximum GenBank entry size in advance.

A probe is found to hybridize if it has k or fewer mismatches with a target sequence from the database or file searched. The hit extension time for all appropriate parameters of the Mismatch Model has been found by experimentation to be less than thirty-five (35) seconds, except in one case where the minimum probe length (l) was set to 24 and the maximum number of mismatches (k) was set to four (4). This situation would rarely be used in real gene localization experiments because the hybridization conditions are too weak.

H-Site Model

In this embodiment of the invention, the second hybridization strength model is termed the H-Site Model. One aspect of the H-Site Model uses a generalization of an experimental formula to analize nucleotide binding strength. The basic formula on which this aspect of the model is built is as follows:

Tm=81.5−16.6(log[Na])−0.63%(formamide)+0.41(%(G+C))−600/N

In this formula, log[Na] is the log of the sodium concentration, %(G+C) is the fraction of matched base pairs which are G−C complementary, and N is the probe length. This formula relates the fact that melting temperature is a function of both probe length and percent GC content. This basic formula has been modified in this invention to account for the presence of mismatches. Each percent of mismatch reduces the melting temperature by an average of 1.25° (2° C. for an AT mismatch, and 4° C. for a GC mismatch). This formula is, however, an approximation. The actual melting temperature might potentially differ from this approximation, especially for short probes or probes with a relatively large number of mismatches.

Hybridization strength in the H-Site Modlel is related to each of the following factors: 1) “binding region”; 2) type of mismatch (GC or AT substitution); 3) length of the probe; 4) GC content of the binding region; and 5) existence of a “nucleation site” (a subsequence with an exact match). The type of mismatch and GC content of the binding region from each sequence contributes to a candidate probe's binding strength. The binding strength from each probe is thereby determined enabling the user to select an optimal probe.

The fundamental assumption of the H-Site Model is that binding strength is mostly determined by a paired subsequence of the probe and target, called the binding region. If the subsequence binding region contains more GC pairs than AT pairs, the binding strength will be higher due to the greater number of hydrogen bonds between G and C bases (three bonds) in comparison to A and T bases (two bonds). Thus, GC rich probes have a higher melting temperature and subsequently form stronger hybridizations.

In the H-Site Model the program determines optimal probes, ideally without any mismatches to the target gene. With this model, however, a candidate probe can have more AT mismatches if the sequence is GC rich. The amount of allowable AT mismatches in a specific sequence is determined in the present invention program by looking primarily at subsequence regions of the probe and target that match without penalizing the probe for areas that mismatch. If the mismatches are located at either or both of the ends of the binding region, there is little effect on the overall stability of the base-pairing. Centrally located mismatches in the binding region are much more deleterious, as this will significantly lower the binding strength of the probe.

The formula cited above for the melting temperature applies within the binding region. The length of the probe is used to calculate percentages, but all other parameters of the formula are applied to the binding region only. The H-Site Model further assumes the existence of a nucleation site. The length of this nucleation site may be set by the user. Typically, a value of 8 to 10 base pairs is used. To complete the H-Site Model, the binding region is chosen so as to maximize the melting temperature Tm among all regions containing a nucleation site, assuming one exists (otherwise, Tm=0).

The H-Site Model is more complex than the Mismatch Model discussed above in that hybridization strength is modeled as a sum of multiple subsequence contributions, with matches generally providing positive binding energy and mismatches generally providing negative binding energy. The exact binding energies to be used depend only on the matched or mismatched pair. These coefficients may be specified by the user, although in the current version of this invention these coefficients are not explicitly user-selectable, but rather are selected to best fit the hybridization strength formulas developed by Itakura et al (1984, Ref. 5), Bolton and McCarthy (1962, Ref. 2), Benner et al (1973, Ref. 1), and Southern (1975, Ref. 13).

A unique aspect of the H-Site Model is that hybridization strength is determined by the optimal binding region between the candidate probe and binding locus. This binding region is called the hybridization site, or h-site, and is selected so as to maximize overall hybridization strength, so that mismatches outside the binding region do not detract from the estimated hybridization strength. Several other unique features of the H-Site Model include the fact that it is more oriented toward RNA and especially cDNA sequences than DNA sequences, and the fact that the user has control over preparation and environmental variables.

The emphasis on RNA and cDNA sequences allows the user to concentrate on coding regions of genes, rather than necessitating sorting through all of a genomic sequence for the desired probe. The enhanced user control over environmental and preparation variables allows the user to more accurately simulate laboratory conditions that closely correspond with any experiments he or she is conducting. Further, this implementation of the invention does some preliminary preprocessing of the GenBank database to sort out and select the cDNA sequences. This is done by locating a keyword (in this case CDS) in each GenBank record, thereby eliminating any sequences containing introns.

The Mitsuhashi Probe Selection Diagram (MPSD),

FIG. 28

, is a key feature of this invention, as it is a unique way of visualizing the results of the probe designed by the Mismatch and H-Site Models. It is a graphic display of all of the hybridizations of candidate oligonucleotide probes and the target with all sequences in the preparation. Given a gene sequence database and a target mRNA sequence, the MPSD graphically displays all of the candidate probes and their hybridization strengths with all sequences from the database. In the present implementation, each melting temperature is displayed as a different color, from red (highest Tm) to blue (lowest Tm). The MPSD allows the user to see visually the number of false hybridizations at various temperatures for all candidate probes, and the sources of these false hybridizations (with a loci and sequence comparison). A locus may be a specific site or place, or, in the genetic sense, a locus is any of the homologous parts of a pair of chromosomes that may be occupied by allelic genes.

These probes may then be used to test for the presence of precursors of specific proteins in living tissues. The oligonucleotide probes designed with this invention may be used for medical diagnostic kits, DNA identification, and potentially continuous monitoring of metabolic processes in human beings. The present implementation of this computerized design tool runs under Microsoft® Windows™ v. 3.1 (made by Microsoft Corporation; Redmond, Wash.) on IBM® compatible personal computers (PC's).

The H-Site Model of this invention is unique in that it offers a multitude of information on selected probes and original and distinctive means of visualizing, analyzing and selecting among candidate probes designed with the invention. Candidate probes are analyzed using the H-Site Model for their binding specificity relative to some known set of mRNA or DNA sequences, collected in a database such as the GenBank database. The first step involves selection of candidate probes at some or all the positions along a given target. Next, a melting temperature model is selected, and an accounting is made of how many false hybridizations each candidate probe will produce and what the melting temperature of each will be. Lastly, the results are presented to the researcher along with a unique set of tools for visualizing, analyzing and selecting among the candidate probes.

This invention is both much faster and much more accurate than the methods that are currently in use. It is unique because it is the only method that can find not only the most specific and unique sequence, but also the common sequences. Further, it allows the user to perform many types of analysis on the candidate probes, in addition to comparing those probes in various ways to the target sequences and to each other.

Therefore, it is the object of this invention to provide a practical and user-friendly system that allows a researcher to design both specific and common oligonucleotide probes, and to do this in less time and with much more accuracy than currently done.

This invention is employed in the form best seen in FIG.

20

. There, the combination of this invention consists of an IBM® compatible personal computer (PC), running software specific to this invention, and having access to a distributed database with the file formats found in the GenBank database and other related databases.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Although any methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention, the preferred methods and materials are now described. All publications mentioned hereunder are incorporated herein by reference.

The preferred computer hardware capable of operating this invention involves of a system with at least the following specifications (FIG.

20

): 1) an IBM® compatible PC, generally designated

1

A,

1

B, and

1

C, with an 80486 coprocessor, running at 33 Mhz or faster; 2) 8 or more MB of RAM,

1

A; 3) a hard disk

1

B with at least 200 MB of storage space, but preferably 1 GB; 4) a VGA color monitor (

1

C) with graphics capabilities of a size sufficient to display the invention's oulput in readable format, preferably with a resolution of 1024×768; and 5) a 580 MB CD ROM drive

5

(

1

B of

FIG. 20

generally refers to the internal storage systems included in this PC, clockwise from upper right, two floppy drives, and a hard disk). Because the software of this invention preferably has a Microsoft® Windows™ interface, the user will also need a mouse

2

, or some other type of pointing device.

The preferred embodiment of this invention would also include a laser printer

3

and/or a color plotter

4

. The invention may also require a modem (which can be internal or external) if the user does not have access to the CD ROM versions of the GenBank database

8

(containing a variable number of gene sequences 6). If a modem is used, information and instructions are transmitted via telephone lines to and from the GenBank database

8

. If a CD ROM drive

5

is used, the GenBank database (or specific portions of it) is stored on a number of CDs.

The computer system should preferably have at least the Microsoft® DOS version 5.0 operating system running Microsoft® Windows™ version 3.1. All of the programs in the preferred embodiment of the invention were written in the Borland® C++ (Borland International, Inc.; Scotts Valley, Calif.) computer language. It should be noted that subsequently developed computers, storage systems, and languages may be adapted to utilize this invention and vice versa.

This inventive computer program is designed to enable the user to access DNA, mRNA and cDNA sequences stored either in the GenBank or in databases with similar file formats. GenBank is a distributed flat file database made up of records, each record containing a variable number of fields in ASCII file format. The stored database itself is distributed, and there is no one database management system (DBMS) common to even a majority of its users. One general format called the line type format, is used both for the distributed database and for all of GenBank's internal record keeping. All data and system files and indexes for GenBank are kept in text files in this line type format.

The primary GenBank database is currently distributed in a multitude of files or divisions, each of which represents the genome of a particular species (or at least as much of it as is currently known and sequenced and publicly available). The GenBank provides a collection of nucleotide sequences as well as relevant bibliographic and biological annotation. Release 72.0 (6/92) of the GenBank CD distribution contains over 71,000 loci with a total of over ninety-two (92) million nucleotides. GenBank is distributed by IntelliGenetics, of Mountain View, Calif., in cooperation with the National Center for Biotechnology Information, National Library of Medecinge, in Bethesda, Md.

1. Overall Description of the OligoProbe DesignStation

a. General Theory

The intent of this invention is to provide one or more fast processes for performing exact and inexact matching between DNA sequences to support the Mitsuhashi Probe Selection Diagram (MPSD) discussed below, and other analysis with interactive graphical analysis tools. Hybridization strength between a candidate oligonucleotide probe and a target subsequence of DNA, mRNA or cDNA can be estimated through a hybridization strength model. Quantitatively, hybridization strength is given as the melting temperature (Tm). Currently, two hybridization strength models are supported by the invention: 1) the Mismatch Model and 2) the H-Site Model.

b. Inputs

i. Main OligoProbe DesignStation Dialog Window

The Main OligoProbe DesignStation dialog window,

FIG. 21

, controls all user-definable settings. This window has a menu bar offering five options: 1) File

10

; 2) Preparation

80

; 3) Models

70

; 4) Experiment

90

; and 5) Help

50

. The File

10

option allows the user to print, print in color, save selected probes, and exit the program. The Preparation

80

option allows the user to open and create preparation (PRP) files.

The Models

20

option allows the user to chose between the two hybridization models currently supported by the OligoProbe DesignStation: 1) the H-Site Model

21

and 2) the Mismatch Model

25

. If the user selects the H-Site Model

21

option, the left hand menu of

FIG. 21C

is displayed and the user sets the following model parameters: 1) the melting temperature T

m

22

for which probes are being designed (i.e., the melting temperature that corresponds to a particular experiment or condition the user desires to simulate); and 2) the nucleation threshold

23

, which is the number of base pairs constituting a nucleation site. If the user selects the Mismatch Model

25

option, the right hand menu of

FIG. 21C

is displayed and the user sets the following model parameters: 1) probe length

26

, which is the number of base pairs in probes to be considered; and 2) mismatch N

27

, which is the maximum number of mismatches constituting a hybridization. Computation of the user's request takes longer with the H-Site Model if the threshold

23

setting is decreased, but longer with the Mismatch Model if the number of mismatches N

27

is increased.

In addition, for both Model options the user chooses the target species

11

DNA or mRNA for which probes are being designed and the preparation

12

, a file of all sequences with which hybridizations are to be calculated. A sample of a target species file is shown in

FIG. 47

(humbjunx.cds), while a sample of a preparation file is shown in

FIG. 48

(junmix.seq). Each of these inputs is represented by a file name and extension in standard DOS format. In the target species and preparation fields, the file format follows the GenBank format with each of the fields having a default file extension. Pressing the “OK” button

41

(

FIG. 21C

) will initiate processing, while pressing the “Cancel” button

43

will stop the processing.

The Experiment

40

option and the Help

50

option are expansion options not yet available in the current implementation of the invention.

c. Processing

FIG. 22

is a flow chart of the overall OligoProbe DesignStation Program, illustrating its sequence and structure. Generally, the main or “control” program of the OligoProbe DesignStation performs overall maintenance and control functions. This program, as illustrated in

FIG. 22

, accomplishes the general housekeeping functions

51

, such as defining global variables. The user-friendly interface

53

, carries out the user-input procedures

55

, the file

57

or database

59

access procedures, calling of the model program

62

or

63

selected by the user, and the user-selected report

65

or display

67

,

69

,

71

and

73

features. Each of these features is discussed in more detail in later sections, with the exception of the input procedures, which involves capturing the user's set-up and control inputs.

d. Outputs

i. The Mitsuhashi Probe Selection Diagram Window

The Mitsuhashi Probe Selection Diagram (MPSD),

FIG. 23

, is a key feature of the invention as it is a unique way of visualizing the results of the program's calculations. It is a graphic display of all of the hybridizations of probes with the target oligonucleotides in the preparation. Specifically, given a nucleotide sequence database and a target mRNA, the MPSD graphically displays all of the candidate probes and their hybridization strengths with all sequences from the nucleotide database. The MPSD allows the user to visualize the number of false hybridizations at various temperatures for all candidate probes, and the sources of these false hybridizations (with a loci and sequence comparison).

For each melting temperature selected, a graph showing the number of hybridizations for each probe is displayed. In the preferred embodiment, the graphs are color coded. In this implementation of the invention, the color red

123

identifies the highest melting temperature and the color blue

124

identifies the lowest melting temperature. Each mismatch results in a reduction in the Tm value. The melting temperature is also a function of probe length and percent GC content. Within the window, the cursor

125

shape is changed from a vertical line bisecting the screen to a small rectangle when the user selects a particular probe. The current probe is defined to be that probe under the cursor position (whether it be a line or a rectangle) in the MPSD window. More detailed information about the current probe is given in the ProbeInfo and MatchInfo windows, discussed below. Clicking the mouse button

2

once at the cursor

125

selects the current probe. Clicking the mouse button

2

a second time deselects the current probe. Moving the cursor across the screen causes the display to change and reflect the candidate probe under the current cursor position.

The x-axis

110

of the MPSD,

FIG. 23

, shows the candidate probes' starting positions along the given mRNA sequence. The user may “slide” the display to the left or right in order to display other probe starting positions. The y-axis

115

of the MPSD displays the probe specificity, which is calculated by the program.

The menu options

116

,

117

,

118

,

119

, and

120

available to the user while in the MPSD,

FIG. 23

, and are displayed along a menu bar at the top of the screen. The user can click the mouse

2

on the preferred option to briefly display the option choices, or can click and hold the mouse button on the option to allow an option to be selected. The user may also type a combination of keystrokes in order to display an option in accordance with well-known computer desk top interface operations. This combination usually involves holding down the ALT key while pressing the key representing the first letter of the desired option (i.e, F, P, M, E or H).

The File option

116

allows the user to specify input files and databases. The Preparation option

117

allows the user to create a preparation file summarizing the sequence database. The

M

odels option

118

allows the user to specify the hybridization model (i.e., H-Site or Mismatch) and its parameters. The

E

xperiment option

119

and the

H

elp option

120

are not available in the current implementation of this invention. These options are part of the original Main OligoProbe DesignStation dialog window, FIG.

21

.

Areas on the graphical display of the MPSD,

FIG. 23

, where the hybridizations for the optimal probes are displayed are lowest and most similar, such as shown at

121

, indicate that the particular sequence displayed is common to all sequences. Areas on the graphical display of the MPSD where the hybridizations for the optimal probes are displayed are highest and most dissimilar, such as shown at

122

, indicate that the particular sequence displayed is extremely specific to that particular gene fragment. The high points on the MPSD show many loci in the database, to which the candidate probe will hybridize (i.e., many false hybridizations). The low points show few hybridizations, at least relative to the given database. Specifically, the sequence shown at

121

would reflect a probe common to all of the gene fragments tested, such that this probe could be used to detect each of these genes. The sequence shown at

122

would reflect a probe specific to the particular gene fragment, such that this probe could be used to detect this particular gene and no others.

ii. The ProbeInfo and MatchInfo Window

The combined ProbeInfo and MatchInfo Window,

FIG. 24

, displays detailed information about the current candidate probe. The upper portion of the window is the ProbeInfo window, and the lower portion is the MatchInfo window. The ProbeInfo window portion displays the following types of information: the target locus (i.e., the mRNA, cDNA, or DNA from which the user is looking for probes) is displayed at

131

, while the preparation used for hybridizations is displayed at

132

. In the example shown in

FIG. 24

, the target locus

131

is the file named HUMBJUNX.CDS, which is shown as being located on drive F in the subdirectory MILAN. The preparation

132

is shown as being the file designated JUNMIX.PRP, which is also shown as being located on drive F in the subdirectory MILAN. The JUNMIX.PRP preparation in this example is a mixture of human and mouse jun loci.

The current and optimal probe's starting position is shown at

135

. The current candidate oligonucleotide probe is defmed at

136

, and is listed at

137

as having a length of 21 bases. The melting temperature for the probe

136

as hybridized with the targets is shown in column

140

. The melting temperature for the optimal probe is given as 61.7 degrees C at

138

. The ProbeInfo Window

FIG. 24

also displays hairpin characteristics of the probe at

139

. In the example shown, the ProbeInfo Window shows that there are four (4) base pairs involved in the worst hairpin, and that the worst hairpin has a length of one (1) (see

FIG. 24

, at

139

).

The MatchInfo Window portion displays a list of hybridizations between the current probe and species within the preparation file, including hybridization loci and hybridization temperatures. The hybridizations are listed in descending order by melting temperature. The display shows the locus with which the hybridization occurs, the position within the locus, and the hybridization sequence.

In the MatchInfo window portion, the candidate probe

136

is shown at

150

as hybridizing completely with a high binding strength. This is because the target DNA is itself represented in the database in this case, so the candidate probe is seen at

150

to hybridize with itself (a perfect hybridization). The locus of each hybridization from the preparation

132

are displayed in column

141

, while the starting position of each hybridization is given in column

142

. The calculated hybridizations are shown at

145

.

iii. The ProbesEdit Window

The ProbesEdit Window,

FIG. 25

, is a text editing window provided for convenient editing and annotation of OligoProbe DesignStation text file output. It is also used to accumulate probes selected from the MPSD,

FIG. 23

, by mouse button

2

clicks. Standard text editing capabilities are available within the ProbesEdit Window. The user may accumulate selected probes in this window (see

155

for an example) and then save them to a file (which will bear the name of the preparation sequence with the file extension of “prb”

156

, or may be another file name selected by the user). A sample of this file is shown in FIG.

26

A.

iv. Miscellaneous Output

The present embodiment of this invention also creates two output files, currently named “test.out” and “test1.out”, depending upon which model the user has selected. The first file, “test.out”, is created with both the Mismatch Model and the H-Site Model. This file is a textual representation of the Mitsuhashi Probe Selection Diagram (MPSD). It breaks the probe sequence down by position, length, delta Tm, screensN, and the actual probe sequence (i.e., nucleotides). An example of this file created by the Mismatch Model is shown in

FIG. 40

, and example created by the H-Site Model is shown in

FIG. 44

a

. The second file, “test1.out”, is created only by the H-Site Model. This file is a textual representation of the ProbeInfo and MatchInfo window that captures all hybridizations, along with their locus, starting position, melting temperature, and possible other hybridizations. A partial example of this file is shown in

FIG. 44

b

(10 pages out of a total of 190 pages created by the H-Site Model).

2. Description of the Mismatch Model Program

a. Overview

In this invention, one of the hybridization strength models is termed the Mismatch Model (see

FIG. 21

for selection of this model). The basic operation of this model involves the techniques of hashing and continuous seed filtration, as defined earlier but described in more detail below. The essence of the Mismatch Model is a fast process for doing exact and inexact matching between nucleotide sequences to support the Mitsuhashi Probe Selection Diagram (MPSD). There are a number of modules in the present implementation of the Mismatch Model contained in this invention, the most significant of which are shown in the flow chart in FIG.

27

and in more detail in

FIGS. 28 through 38

. The main k_diff module shown in the flow chart in

FIG. 28

is a structured program that provides overall control of the Mismatch Model, calling various submodules that perform different functions.

b. Inputs

The user-selected input variables for this model are minimum probe length

76

(which is generally from 18 to 30) and maximum number of mismatches

77

(which generally is from 1 to 5). These inputs are entered by the user in the Main OligoProbe DesignStation Dialog Window, FIG.

21

C.

c. Processing

i. k_diff Program

Some terms of art need to be defined before the processing performed by this module can be explained. A hash table basically is an array or table of data. A linked list is a classical data structure which is a chain of linked entries and involves pointers to other entry structures. Entries in a linked list do not have to be stored sequentially in memory, as is the case with elements contained in an array. Usually there is a pointer to the list associated with the list, which is often initially set to point to the start of the list. A pointer to a list is useful for sequencing through the entries in the list. A null pointer (i.e., a pointer with a value of zero) is used to mark the end of the list.

As the flow charts in

FIGS. 27 and 28

illustrate, the general process steps and implemented functions of this model can be outlined as follows:

Step

1

: First, create a hash table and linked list from the query (

FIG. 27

, hashing module

222

).

Step

2

: Next, while there are still GenBank entries available for searching (

FIG. 27

, assembly module

230

):

Step

2

a

: Read the current GenBank entry (record) sequence of user-specified length (

FIG. 27

, seqload module

232

), or read the current sequence (record) from the file selected by the user (

FIG. 27

, read1 module

234

).

Step

2

b

: For the current sequence for each position of the sequence from the first position (or nucleotide) to the last position (or nucleotide) (incrementing the position number once each iteration of the loop) (

FIG. 27

, q_colour module

242

),

Step

2

c

: set the variable dna_hash equal to the hash of the current position of the current sequence (

FIG. 27

, q_colour module

242

).

Step

2

d

: While not at the end of the linked list for dna_hash (

FIG. 27

, q_colour module

242

),

Step

2

e

: set the query_pos equal to the current position of dna_hash in the linked list (

FIG. 27

, q_colour module

242

) and

Step

2

f

: Extend the hit with the coordinates (query_pos, dna_pos) (

FIG. 27

, hit_ext module

244

),

Step

2

g

: If there exists a k_mismatch in the current extended hit (

FIG. 27

, colour module

246

), then

Step

2

h

: print the current hit (

FIG. 27

, q_colour module

242

), and repeat from Step

2

.

As this illustrates, there are three (3) basic looping or iteration processes with functions being performed based on variables such as whether the GenBank section end has been reached (the first “WHILE” loop, Step

2

), whether the end of the current DNA entry has been reached (the “FOR” loop, Step

2

b

), and whether the end of the dna_hash linked list has been reached (the second “WHILE” loop, Step

2

d

). A “hit” will only be printed if there are k_mismatches in the current extended hit.

FIGS. 28 through 38

illustrate the functions of each of the modules of the present embodiment of this invention, all of which were generalized and summarized in the description above.

FIG. 28

, which outline the main “k_diff” module, shows that this module is primarily a program organization and direction module, in addition to performing routine “housekeeping” functions, such as defining the variables and hash tables

251

, checking if the user-selected gene sequence file is open

252

, extracting needed identification information from the GenBank

253

, and ensuring valid user input

254

. This module also performs a one-time allocation of memory for the gene sequences, and allocates memory for hit information, hashing, hybridization and frequency length profiles and output displays,

255

&

256

. The “k_diff” module also initializes or “zeros out” the hashing table, the linked hashing list and the various other variables

257

in preparation for the hashing function. In addition, this module forms the hash tables

258

and extracts a sequence and finds the sequence length

259

.

One of the most important functions performed by the “k_diff” module is to define the seed (or kernel or k_tuple) size. This is done by setting the variable k_tuple equal to (min_probe_length—max_mismatch_#)/(max_mismatch+#+1)

FIG. 28

at

265

. Next, if the remainder of the aforementioned process is not equal to zero

266

, then the value of the variable k_tuple is incremented by one

267

. The resulting value is the size of the seed. The module then reads the query

268

and copies the LOCUS name

269

for identification purposes (a definition of the term locus is given earlier in the specification).

The “k_diff” module

FIG. 28

also calls the “assembly” module

260

, writes the results to a file

261

a

, plots the results

261

b

(discussed below), calculates the hairpin characteristics

262

(i.e., the number of base pairs and the length of the worst hairpin) and the melting temperature (Tm) for each candidate probe

263

, and saves the results to a file

264

.

The screen graphs are plotted

261

b

by converting the result values to pixels, filing a pixel array and performing a binary search into the pixel array. Next, given the number of pixels per probe position and which function is of interest to the user (i.e., the three mismatch match numbers), the program interpolates the values at the value of (pixelsPerPositionN-1) and computes the array of pixel values for drawing the graph. These values are then plotted on the MPSD.

The “hashing” module,

FIG. 29

, performs hashing of the query. In other words, it creates the hash table and linked list of query positions with the same hash. The variable has_table[i] equals the position of the first occurrence of hash i in the query. If i does not appear in the query, hash_table[i] is set to zero.

The “tran” module,

FIG. 30

, is called by the “hashing” module

271

, and performs the hashing of the sequence of k_tuple (kernel or seed) size. If the k_tuple exists (i.e., its length is greater than zero), the variable uns is set equal to uns*ALF+p

291

. The variable p represents the digit returned by the “let_dig” module

FIG. 31

that represents the nucleotide being examined. ALF is a constant that is set by the program in this implementation to equal four. The query pointer is then incremented, while the size of k_tuple (the seed) is decremented

292

. This process is repeated until the sequence of k_tuple has been entirely hashed. Then the “tran” module returns the variable current_hash

293

to the “hashing” module FIG.

29

.

The “let_dig” module,

FIG. 31

, is called by the “tran” module

291

, and transforms the nucleotides represented as the characters “A”, “T”, “U”, “G” and “C” in the GenBank and the user's query into numeric digits for easier processing by the program. This module transforms “a” and “A” into “0”

301

, “t”, “T”, “u” and “U” into “1”

302

, “g” and “G” into “2”

303

, and “c” and “C” into “3”

305

. If the character to be transformed does not match any one of those listed above, the module returns “−1”

305

. The “hashing” module,

FIG. 29

, then calls the “update” module

272

,

FIG. 32

, which updates the hash with a sliding window (i.e., it forms a new hash after shifting the old hash by “1”). The remainder of old_hash divided by power

—

1 is calculated

311

(a modulus operation), the remainder is multiplied by ALF

312

(i.e., four), and then the digit representing the nucleotide is added to the result

313

. The “update” module then returns the result

314

to the “hashing” module FIG.

29

.

If the current hash has already occurred in the query, the program searches for the end of the linked list for the current hash

273

and marks the end of the linked list for the current hash

274

. If the current hash has not already occurred in the query, the program puts the hash into the hash table

275

. The resulting hash table and linked list are then returned to the “k_diff” module,

FIG. 28

at

258

.

The “assembly” module,

FIG. 33

, extracts sequences from the GenBank and performs hit locating and extending functions. This module is called by the “k_diff” module

FIG. 28

at

260

if the user has chosen to use the database to locate matches. The output from the “assembly” module (

FIG. 33

) tells the user that the section of the database searched contains E number of entries

321

of S summary length

322

with H number of hits

323

. Further, the program tells the user that the number of considered 1-tuples equals T

324

. The entry head line is also printed

326

.

The “seqload” module,

FIG. 34

, is called by the “k_diff” module

FIG. 28

at

259

once the query hash table and linked list have been formed by the “hashing” module FIG.

29

. The “seqload” module

FIG. 34

checks to see if the end of the GenBank file has been reached

327

, and, if not, searches until a record is found with LOCUS in the head-line

328

. Next, the LOCUS name is extracted

329

for identification purposes, and the program searches for the ORIGIN field in the record

330

.

The program then extracts the current sequence

331

from the GenBank and performs two passes on each sequence. The first is to determine the sequence length

332

and allocate memory for each sequence

333

, and the second pass is to read the sequence into the allocated memory

334

. Since the sequences being extracted can contain either DNA nucleotides or protein nucleotides, the “seqload” module can recognize the characters “A”, “T”, “U”, “G”, and “C”. The bases “A”, “T”, “G” and “C” are used in DNA sequences, while the bases “A”, “U”, “G” and “C” are used in RNA and mRNA sequences. The extracted sequence is then positioned according to the type of nucleotides contained in the sequence

335

, and the process is repeated. Once the end of the sequence has been reached, the “seqload” module returns the sequence length

336

to the “k_diff” module FIG.

28

.

If the user has chosen to use one or more files to locate matches, rather than the database, the “read1” module,

FIG. 35

, rather than the “seqload” module

FIG. 34

, is called by the “k_diff” module FIG.

28

. The “read1” module,

FIG. 35

, reads the sequence from the user specified query file

341

and allocates memory

342

. This module also determines the query length

343

, extracts sequence identification information

344

, determines the sequence length

345

, transforms each nucleotide into a digit

346

by calling the “let_dig” module

FIG. 31

, creates the query hash table

347

by calling the “dig_let: module

FIG. 36

, and closes the file

348

once everything has been read in.

First, the “read1” module

FIG. 35

allocates space for the query

342

. To do this, the “ckalloc” module,

FIG. 35

at

342

, is called. This module allocates space and checks whether this allocation is successful (i.e., is there enough memory or has the program run out of memory). After allocating space, the “read1” module

FIG. 35

opens the user-specified file

349

(the “ckopen” module,

FIG. 35

at

349

, is called to ensure that the query file can be successfully opened

349

), determines the query length

343

, locates a record with LOCUS in the head-line and extracts the LOCUS name

344

for identification purposes, locates the ORIGIN field in the record and then reads the query sequence from the file

341

. Next, the sequence length is determined

345

, memory is allocated for the sequence

342

, and the sequence is read into the query file

350

. If the string has previously been found, processing is returned to

344

. If not, then each character in the query file is read into memory

350

.

The characters are transformed into digits

346

using the “let_dig” module,

FIG. 31

, until a valid digit has been found, and then the hash table containing the query is set up

347

using the module “dig_let”,

FIG. 36

, which transforms the digits into nucleotides represented by the characters “A”

371

, “T”

371

, “G”

373

, “C”

374

, and “X”

375

as a default. If the end of the file has not been reached, processing is returned to

344

. If it has, the file is closed

348

and the query is then returned to the “read1” module

FIG. 35

at

347

.

The “q_colour” module,

FIG. 27

(

FIG. 33

at

325

), is called by the “assembly” module

FIG. 33

after the current sequence has been extracted from the GenBank. The “q_colour” module

FIG. 37

performs the heart of the Mismatch Model process in that it performs the comparison between the query and the database or file sequences. If the module finds that there exists a long (i.e., greater than the min_hit_length) extended hit, it returns a “1” to the “assembly” module FIG.

34

. Otherwise, the “q_colour” module,

FIG. 37

, returns a “0”.

In the “q_colour” module,

FIG. 37

, all DNA positions are analyzed in the following manner. First, the entire DNA sequence is analyzed

391

to see whether each position is equal to zero

392

(i.e., whether it is empty or the sequence is finished). If it is not equal to zero

393

, the “q_colour” module

FIG. 40

calls the “tran” module,

FIG. 30

described above, which performs the hashing of k_tuples. The “tran” module

FIG. 30

calls other modules which transform the nucleotides represented by characters into digits for easier processing by the program and then updates the hash with a sliding window. If the position is equal to zero, the current_hash position is set to new_has after one shift of old_hash

390

by calling the “update” module FIG.

32

.

If the nucleotide at the current hash position is equal to zero, processing is returned to

391

. If not, the query position is set equal to (nucleotide at current hash position-1). Next, the “q_colour” module

FIG. 37

looks for the current_hash in the hash table

394

. If the current k_tuple does not match the query

395

, then the next k_tuple is considered

395

, and processing is returned to

391

. If the current k_tuple does match the query, then the program checks the hit's (i.e., the match's) vicinity

396

by calling the “hit_ext” module,

FIG. 38

to determine if the hit is weak. The inventors have found that if the code for the module “hit_ext” is included within the module “q_colour”, rather than being a separate module utilizing the parameter transfer machinery, 25% of CPU time can be saved.

The “hit_ext” module

FIG. 38

determines the current query position in the hit's vicinity

421

, determines the current DNA position in the hit's vicinity

422

, and creates the list of mismatch positions (i.e., the mismatch_location_ahead

423

, the mismatch_location_behind

423

and the kernel match location). If the hit is weak

424

, the “hit_ext” module

FIG. 38

returns “0” to the “q_colour” module FIG.

37

. If the hit has a chance to contain

425

, the module returns “1” to the “q_colour” module

FIG. 37. A

hit has a chance to contain, and is therefore not considered weak, if the mismatch_location_ahead—the mismatch_location_behind is greater than the min_hit_length. If not, it is a short hit and is too weak.

If the “hit_ext” module

FIG. 38

tells the “q_colour” module

FIG. 37

that the hit was not a weak one, then the “q_colour” module determines whether the current hit is long enough

398

by calling the “colour” module FIG.

39

. The “colour” module

FIG. 39

performs query_colour modification by the hit data, starting at pos_query and described by mismatch_location_ahead and mismatch_location_behind. After the variables to be used in this module are defined, variable isw_print (which is the switch indicating the hit length) is initialized to zero

430

. The cur_length is then set equal to the length of the extending hit

431

(mismatch_location_behind[i]+mismatch_location_ahead[j]-1). Next, if cur_length is greater than or equal to the min_hit_length

432

(i.e., the minimum considered probe size), the hit is considered long and isw_print is set equal to two

433

. The value of isw_print is then returned

434

to the “q_colour” module FIG.

37

.

If the length of the extending hit is longer than the min_hit_length, the hit is considered long

399

. Otherwise, the hit is considered short. If the hit is short, nothing more is done to the current hit and the module begins again. If, on the other hand, the hit is considered long

399

, the “q_colour” module

FIG. 37

prints the current extended hit

400

. The current extended hit can be printed in ASCII, printed in a binary file, or printed to a memory file. The “q_colour” module

FIG. 37

then repeats until the end of the linked list is reached.

d. Outputs

The output of the k_diff program may be either a binary file containing the number of extended hits and the k_mismatch hit locations (see FIG.

40

), or the output may be kept in memory without writing it to a file. See Section 1(d)(iv) for more detail.

3. Description of the H-Site Model Program

a. Overview

In this invention, the second hybridization strength model is termed the H-Site Model (see

FIG. 21

for user selection of this model). The formula used in the H-Site Model is an expression of the fact that melting temperature Tm is a function of both probe length and percent of GC content. This basic formula has been modified in this invention to account for the presence of mismatches. Each percent of mismatch reduces the melting temperature Tm by an average of 1.25 degrees (2 degrees C for an AT mismatch, and 4 degrees C for a GC mismatch).

In addition, this implementation of the invention does some preliminary preprocessing of the GenBank database to sort out and select the cDNA sequences. This is done by locating a keyword (in this case CDS) in each GenBank record.

There are a number of modules in the present embodiment of the H-Site Model contained in this invention. Each step of the processing involyed in the H-Site Model is more fully explained below, and is accompanied by detailed flow charts.

b. Inputs

There are two basic user-selected inputs for the H-Site Model (see FIG.

21

C): 1) the melting temperature Tm

22

for which probes are being designed (i.e., the melting temperature that corresponds to a particular experiment or condition the user desires to simulate); and 2) the nucleation threshold

23

, which is the number of base pairs constituting a nucleation site. The user is also required to select the 1) target species

11

gene sequence(s) (DNA, mRNA or cDNA) for which probes are being designed; 2) the preparation

12

of all sequences with which hybridizations are to be calculated; and 3) the probe output file

13

. The preparation file is the most important, as discussed below.

c. Organization of the H-Site Model Program

The current implementation of the H-Site Model program of this invention is distributed between five files containing numerous modules. The main file is designated by the inventors as “ds.cpp” in its uncompiled version. This file provides overall control to the entire OligoProbe DesignStation invention. It is divided into six sections. Section 0 defines and manipulates global variables. Section 1 controls general variable definition and initialization (including the arrays and memory blocks). It also reads and writes buffers for user input selections, and constructs multi buffers.

Section 2 sets up and initializes various “snippet” variables (see section below for a complete definition of the term snippet), converts base pair characters to a representation that is 96 base pairs long and to ASCII base pair strings, and performs other sequence file manipulation such as comparing snippets. This section also reads the sequence format file, reads base pairs, checks for and extracts sequence identification information (such as ORIGIN and LOCUS) and filters out sequences beginning with numbers.

Section 3 involves preparation file manipulation. This section performs the preprocessing on the PRP file discussed above. It also merges and sorts the snippet files, creates a PRP file and sorts it, and outputs the sorted snippets. Next, this section streams through the PRP file.

Section 4 contains the essential code for H-Site Model processing (see

FIGS. 41 through 43

for details, discussed below). Streams are set up, and then RIBI comparisons are performed for hybridizations (see file “ribi.cpp” for definitions of RIBI search techniques). Next, probes are generated, binding strength is converted to melting temperature, and hybridizations are calculated and stored (including hybridization strength). Lastly, other H-Site calculations are performed.

Section 5 is concerned with formatting and presenting diagnostic and user file (test.out, test1.out, and test2.out files) output. This section also handles the graphing functions (the MPSD diagram in particular). In addition, this section calculates the hairpin characteristics for the H-Site Model candidate probes.

The second H-Site Model file, designated as “ds.h” defines data variables and structures. Section 1 of this file concerns generic data structures (including memory blocks and arrays, and file inputs and outputs). Section 2 defines the variables and structures used with sequences, probes and hybridizations. Section 3 defines variables and structures concerned with protocols (i.e., function prototypes, graphing, etc.).

The third H-Site Model file, designated as “funcdoc.txt”, contains very detailed documentation for this implementation of the H-Site Model program. Numerous variables and structures are also defined. The flow of the program is clearly shown in this file.

The fourth H-Site Model file, designated as “ribi.h” handles the sequence comparisons. The fifth and last H-Site Model file, designated as “ribi.cpp”, performs internal B-Tree indexing. Definitions of Red-black Internal Binary Index (RIBI) searching are found in this file. Definitions are also included for the concepts keyed set, index, binary tree, internal binary index, paths, and red-black trees. Implementation notes are also included in this file.

d. Processing

Implementation of the H-Site Model in this invention is done in three stages. First, the invention creates the preparation (PRP) file, which contains all relevant information from the sequence database. This is the preprocessing stage discussed above. Next, the target is prepared by the program. Lastly, the invention calculates the MPSD data using the PRP file and target sequence to find probes.

i. Creation of the Preprocessed Preparation File

FIG.

41

. Step

1

: The program first opens the sequence database for reading into memory

461

,

462

. Step

2

: Next, as sequence base pairs are read in

462

, “snippets” are saved to disk

463

, along with loci information. A snippet is a fixed-length subsequence of a preparation sequence. The purpose of snippets is to allow the user to examine a small portion of a preparation sequence together with its surrounding base pairs. Snippets in the implementation of this invention are 96 base pairs long (except for snippets near the end or beginning of a sequence, which may have fewer base pairs). The “origin” of the snippet is in position

40

. For snippets taken near the beginning of a sequence, some of the initial 40 bases are undefined. For snippets near the end of a sequence, some of the final 55 bases are undefined. Snippets are arranged in the preparation file (PRP) in sorted order (lexicographical order beginning at position

40

). In this invention, the term “lexicographical order” means a preselected order, such as alphabetical, numeric or alphanumeric. In order to conserve space, snippets are only taken at every 4th position of the preparation sequence.

Step

3

: The snippets are merge sorted

464

to be able to search quickly for sequences which pass the “screen”, discussed below. Step

4

: The merged file is prepended with identifiers for the sources of the snippets

465

. This is done to identify the loci from which hybridizations arise.

ii. Target Preparation

FIG.

42

. Step

1

: The target sequence file is opened

471

and read into memory

472

. For each position in the target mRNA, the probe defined at that starting position is the shortest subsequence starting at that position whose hybridization strength is greater than the user specified melting temperature Tm. Typically, the probes are of length 18 to 50. Step

2

: Four lists of “screens” are formed

473

,

474

,

475

, each shifted by one base pair

475

to correspond to the fact that snippets are only taken at every four base pairs. A screen is a subsequence of the target mRNA of length equal to the screening threshold specified by the user. The screens are then indexed

476

and sorted in memory

477

.

iii. Calculation of the MPSD Data

FIG.

43

. Step

3

: This step is the heart of the process. Step

3

a

: The program streams through the following five items in sync, examining them in sequential order: the snippet file and the four lists of screens

481

-

484

. Step

3

b

: Each snippet is compared to a screen

485

. Step

3

c

: If the snippet does not match, whichever stream is behind is advanced

486

and Step

3

b

is repeated. If the snippet does match, Step

4

is performed.

Step

4

: If a snippet and a matching screen were found in Step

3

b

487

, the hybridization strength of the binding between the sequence containing the snippet and all of the probes containing the screen is calculated (see Step

5

). Double counting is avoided by doing this only for the first matched screen containing the probe. Each pair of bases is examined and assigned a numerical binding strength. An AT pair would be assigned a lower binding strength than a GC pair because AT pairs have a lower melting temperature Tm. The process is explained more fully below at Step

5

b.

Step

5

: The hybridization strengths between sequence and all the probes containing it are calculated using a dynamic programming process. The process is as follows: Step

5

a

: Begin at the position of the first probe containing the given screen but not containing any other screens which start at an earlier position and also match the sequence. This is done to avoid double counting. Two running totals are maintained: a) boundStrength, which represents the hybridization strength contribution which would result if the sequence and probe were to match exactly for all base pairs to the right of the current position, and b) unboundStrength, which represents the strength of the maximally binding region. Step

5

b

: At each new base pair, the variable boundStrength is incremented by 71 if the sequence and probe match and the matched base pair is GC

489

, incremented by 30 if the matched base pair is AT

490

(i.e., this number is about 42.25% of the first number 71), and decremented by 74.5 if there is not a match

488

(i.e., this number is about 5% larger than the first number 71). Step

5

c

: If the current boundStrength exceeds the current unboundStrength

491

(which was originally initialized to zero), a new binding region has been found, and unboundStrength is set equal to boundStrength

492

. Step

5

d

: If the current boundStrength is negative, boundStrength is reset to zero

493

. Step

5

e

: If the current position is at the end of a probe, the results (the hybridization strengths) are tallied for that probe. Step

5

f

: If the current position is at the end of the last probe containing the screen, the process stops.

Step

6

: A tally is kept of the number and melting temperature of the matches for each candidate probe, and the location of the best 20 candidates, using a priority queue (reverse order by hybridization strength number)

494

. Step

7

: A numerical “score” is kept for each preparation sequence by tallying the quantity exp (which can be expressed as εe

−Tm

) for each match

495

, where Tm is the melting temperature for the “perfect” match, the probe itself. In other words, the probe hybridizes “perfectly” to its target.

Step

8

: Hairpins are calculated by first calculating the complementary probe. In other words, the order of the bases in the candidate probe are reversed (CTATAG to GATATC), and complementary base pairs are substituted (A for T, T for A, G for C, and C for G, changing GATATC to CTATAG in the above example). Next, the variable representing the maximum hairpin length for a candidate probe is initialized to zero, as is the variable representing a hairpin's distance. For each offset, the original candidate probe and the complementary probe just created are then aligned with each other and compared. The longest match is then found. If any two matches have the same length, the one with the longest hairpin distance (i.e., the number of base pairs separating the match) is then saved.

Step

9

: The preparation sequences are then sorted

496

and displayed in rank order, from best to worst

497

. Step

10

: The resulting MPSD, which includes all candidate probes, is then displayed on the screen. Step

11

: The best 20 matches are also printed or displayed in rank order, as the user requests

497

.

e. Outputs

The outputs of the H-Site Model are fully described in Section 1(d)(iv), above, and illustrated in

FIGS. 23 through 25

. Samples of the two output files created by the H-Site Model are shown in

FIGS. 44A and 44B

.

4. Description of the Mitsuhashi Probe Selection Diagram Processing

Once the Mitsuhashi Probe Selection Diagram (MPSD) data has been calculated by the H-Site Model program (see stage three and

FIG. 43

, discussed above), it is necessary to convert this data to pixel format and plot a graph. An overview of this process is shown in FIG.

45

. First, the program calculates the output (x,y) ranges

500

. Next, these are converted to a logarithmic scale

501

. The values are then interpolated

502

, and a bitmap is created

503

. Lastly, the bitmap is displayed on the screen

504

in MPSD format (discussed above in section 1(e)(i)). A sample MPSD is shown in FIG.

23

.

5. Description of the MatchInfo Window Processing

The ProbeInfo and MatchInfo windows are discussed in great detail in Section 1(e)(ii), and a sample of these windows is shown in FIG.

24

. An overview of the processing involved in creating the MatchInfo portion of the window is given in the flow chart in FIG.

46

. First, as the user moves the MPSD cursor

570

(seen as a vertical line bisecting the MPSD window), the program updates the position of the candidate probe shown under that cursor position

521

. Next, based upon the candidate probe's position, the program updates the sequence

522

and hairpin information

523

for that probe. This updated information is then displayed in an updated match list

524

, shown in the MatchInfo window.

Effect of the Invention

The invented method offers rapid characterization of mRNA in approximately 5 hours without the need for mRNA purification. Because conventional methods of mRNA quantification, for example Northern blots, require over 70 hours to complete, the method of the present invention significantly reduces the length of time needed for mRNA analysis. Furthermore, because various types of first nucleotide probes can be immobilized in each well of microtiter plate and identified using a single kind of labeled second nucleotide probe, the present invention advantageously can provide the simultaneous quantification of multiple varieties of mRNA.

As shown in the examples above, the meithods of the present invention provide high reliability and reproducibility. Therefore, these methods can be utilized for quantification and analysis of many mRNAs in addition to those exemplified here. Thus, this invention can be used as a rapid method of analyzing the pathogenesis of various diseases, as well as assisting in their diagnosis. Many such methods will suggest themselves to those with ordinary skill in the art upon a review of the present specification. Accordingly, the scope of the present invention is to be determined with reference to the appended claims, and is not to be limited to those methods specifically exemplified herein.

457

22 bases

nucleic acid

single

linear

cDNA to mRNA

Gs mRNA NUCLEOTIDE PROBE

1
TTCATCCTCC CACAGAGCCT TG 22

22 bases

nucleic acid

single

linear

cDNA to mRNA

Gi-2 mRNA NUCLEOTIDE PROBE

2
ATGGTCAGCC CAGAGCCTCC GG 22

22 bases

nucleic acid

single

linear

cDNA to mRNA

G PROTEIN SENSE PCR PRIMER

3
AGCACCATTG TGAAGCAGAT GA 22

22 bases

nucleic acid

single

linear

cDNA to mRNA

YES

G PROTEIN ANTISENSE PCR PRIMER

4
CTCTGGCCTC CCACATCAAA CA 22

22 bases

nucleic acid

single

linear

cDNA to mRNA

SUBSTANCE P RECEPTOR mRNA PROBE

5
GGACTTATGA GAAAGCGTAC CA 22

22 bases

nucleic acid

single

linear

cDNA to mRNA

HUMAN B2 RECEPTOR mRNA PROBE

6
ATGCTGGCCG TGACGCACAG CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

11
CCCTGAAGGA AGAGCCGCAG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

12
CGTGGGTCAT GACTTTCTGC TTGAGCTG 28

nucleic acid

double

linear

cDNA to mRNA

not provided

13
CCATGTCGAT GGGGGACAGC GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

14
CTGTTTAAGC TGCGCCACCT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

15
GTCTGCGGCT CCTCCTTCAG GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

16
CGTGGGTCAA GACTTTCTGC TTGAGCTG 28

nucleic acid

double

linear

cDNA to mRNA

not provided

17
CACTTGGTGG CCGCCAG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

18
GAGCATGTTG GCCGTGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

19
GATGCGCTCC TGCGTGT 17

nucleic acid

double

linear

cDNA to mRNA

not provided

20
GCCTGTTCTG GCTTTTGAGG G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

21
CCGGTGTCCC CCATCAACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

22
CCCCTGTCCC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

23
CCGTTGTCGC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

24
CCTGTGTCCC CCATCAACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

25
CCCCTGTCCC CTATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

26
CCCCTGTCCC CTATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

27
CCCCTGTCCC CTATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

28
CCGCTGTCGC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

29
CCGCTGTCGC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

30
CCGCTGTCGC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

31
CCCTTGTCCC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

32
CCCTTGTCCC CCATCGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

33
CCCCTGTCCC CTATTGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

34
CCCCTGTCCC CTATTGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

35
ACCGTTAATC CCATTGACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

36
CCGCTGTCCA CAATCGACGA AT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

37
GTGCTGTCCC CCATCGAGCT TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

38
CCGCTGTGCA CCATUCACAT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

39
GTCCACCGGG TCGAGTTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

40
GTCCACCGTG TCGAATTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

41
GTCCACCGCG TCGAGTTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

42
GTTCACCGCG TCGAGTTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

43
GTCCACCGTG TCGAATTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

44
GTCCACCGTG TCGAATTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

45
GTCCACCGTG TCGAATTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

46
GTCCACCGCG TGCAGTTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

47
GTCCACCGCG TCGAGTTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

48
GTCCACCGCG TCGAGTTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

49
GTCCACCGTG TCGAATTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

50
GTCCACCGTG TCGAATTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

51
GTCCAACGTG TCGAATTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

52
GTCCAACGTG TCGAATTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

53
GTACACCGCG TGCACTTCGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

54
CTCCACCGGG TCAACTTTGT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

55
AACCACCGCG TCGAATTACC A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

56
AACCACCGCG TCGAATTACC A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

57
GTCCACCGGG TCGAATGTCG A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

58
GTCCACCGGG TCGAATGTCG A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

59
GTCCACCGGG TCGAATGTCG A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

60
GTCCACCGGG TCGAATGTCG A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

61
GTCCACCGGG TCGAATGTCG A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

62
CTGGCGGCCA CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

63
ATCGCTGCCT CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

64
ATGGCGGCCA CCTCCAA 17

nucleic acid

double

linear

cDNA to mRNA

not provided

65
CTGGCGGCCA CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

66
ATTGCCGCCT CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

67
ATTGCCGCCT CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

68
ATTGCCGCCT CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

69
CTGGCCGCCA CCCCCGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

70
CTGGCGTCCA CCGCCAG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

71
CTGGCGTCCA CCGCCAG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

72
CTGGCGTCCA CCGCCAA 17

nucleic acid

double

linear

cDNA to mRNA

not provided

73
ATCGCTGCCT CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

74
CCGGCGGCGA CCAACCC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

75
GGCGCGGCAG CCAATGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

76
GTGGCTGCAT CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

77
GTGGCGGCCA CCAAGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

78
CTGGCGGCAA CCAAGGC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

79
CTGGCGGCCA CCATGAA 17

nucleic acid

double

linear

cDNA to mRNA

not provided

80
CTGGCGGCCA CCATGAA 17

nucleic acid

double

linear

cDNA to mRNA

not provided

81
CTGGCGGCCA CCATGAA 17

nucleic acid

double

linear

cDNA to mRNA

not provided

82
CGACGACCAC CATCAGC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

83
CCACGGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

84
CCACGGCGAG CCTGCTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

85
CGACGGCCAC CATCAGC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

86
CGTGGGTCAA GACTTCTGCT TGAGCTG 27

nucleic acid

double

linear

cDNA to mRNA

not provided

87
CCACGGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

88
CCACGGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

89
CCACGGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

90
CCACCGCCAG CCTGCTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

91
CCACCGCCAG CCTGCTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

92
CCACCGCCAG CCTGCTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

93
CCACGGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

94
CCACCGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

95
CCACGGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

96
CCACTGCCAA CATGCTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

97
CCTACACCAA CATGACC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

98
CCACGGCCAA CATCGTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

99
CCACGGCCAA CATCGTC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

100
GGAAGCTGGA GCGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

101
AGTCCCAGGA GCGGATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

102
ACACGCAGGA GCGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

103
AAGACCAGGA GCGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

104
AGTCTCAGGA GCGGATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

105
AGTCTCAGGA GCGGATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

106
AGTCTCAGGA GCGGATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

107
ACACGCAAGA ACGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

108
ACACGCAAGA ACGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

109
ACACGCAAGA ACGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

110
AGTCTCAGGA GCGGATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

111
AGTCTCAGGA GCGGATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

112
AGTCGCAGGA GAGAATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

113
AGTCGCAGGA GAGAATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

114
GCAAGCTGGA GCGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

115
ACACGCAGGA GCGAAAA 17

nucleic acid

double

linear

cDNA to mRNA

not provided

116
AACAGCAGGA GCGCATC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

117
CCACGCAGGA GCGCTGC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

118
GCACGCAGGA GCGCTGC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

119
ACACGCTGGA GCGCGTG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

120
CGCTCAAGGC CGAGAACGCG G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

121
AACTGCACAG CCAGAACACG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

122
CCCTCAAGAG TCAGAACACG G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

123
TACTCTCCAG CCTCTGCACC C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

124
AACTGCATAG CCAGAACACG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

125
AACTGCATAG CCAGAACACG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

126
AACTGCATAG CCAGAACACG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

127
CCCTCAAAAG CCAGAACACC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

128
CCCTCAAAAG CCAGAACACC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

129
CCCTCAAAAG CCAGAACACC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

130
GCCTCAGCCG CCGCACCACT T 21

nucleic acid

double

linear

cDNA to mRNA

not provided

131
GCCTCAGCCG CCGCACCACT T 21

nucleic acid

double

linear

cDNA to mRNA

not provided

132
ACCTGAGGAA CAAGAACGCC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

133
CCCCCAGATG CCAGTGCAGC A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

134
ACCTCAAGGA CCATGTGGCG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

135
TGCTCAAAAT CCTGAACACC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

136
GCCTCAAGAA CCTGAACACC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

137
GCCTCAAGAA GCTGAACACC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

138
ACCCCAAAAG CCAGAACAGT T 21

nucleic acid

double

linear

cDNA to mRNA

not provided

139
CTCTGGCCTC CCACATCAAA CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

140
TCATCTGCTT CACAATGGTG CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

141
GTTTTCACTC TAGTTCTGAG AACATC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

142
CAAAGTCGAT CTGCAGGTTG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

143
ATGGTCAGCC CAGAGCCTCC GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

144
GTCTTCACTC TCGTCCGAAG A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

145
GCCTTGGCAT GCTCATAGAA TT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

146
TTCATCCTCC CACAGAGCCT TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

147
CGCATCATGG CAGAAAGCAG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

148
AGTACAATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

149
AGCACCATCG TCAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

150
AGCACCATTG TGAAACAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

151
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

152
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

153
AGCACAATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

154
AGCACCATCG TCAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

155
AGTACTATTG TGAAACAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

156
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

157
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

158
AGCACCATCG TCAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

159
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

160
GCCACCATGG TGAAGAAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

161
CTCACCATTG TGAAGCACCT AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

162
TGTTTGATGT GGGAGGTCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

163
TGTTTGATGT GGGTGGTCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

164
TGTTTGATGT AGGTGGCCAA AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

165
TGTTTGACGT GGGTGGCCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

166
TGTTTGACGT CGGAGGCCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

167
TGTTTGACGT GGGAGGCCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

168
TGTTTGATGT GGGTGGTCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

169
TGTTTGATGT AGGTGGCCAA AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

170
TGTTCGATGT GGGCGGCCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

171
TGTTTGACGT TGGGGGCCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

172
TGGTGGATGT GGGAGGGCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

173
CTGATGATGT GGGAGGCCTA CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

174
GAGTGGATGT GGTAGACCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

175
AGTTTGATAT GGGGGGCCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

176
GATGTTCTCA GAACTAGAGT GAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

177
TTTGTTCTCA GCTCCCCCTG TCCCCT 26

nucleic acid

double

linear

cDNA to mRNA

not provided

178
GATGTTCTTC GGACGAGAGT GAAGAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

179
ACTGTGCCCA GTACTTCCTG GACAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

180
GACATCCTCC GAACCAGGGT CAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

181
GATGTTCTCA GAACTAGAGT GAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

182
GATGTGCTGC GGACCCGTGT GAAGAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

183
GATGTTCTTC GGACGAGAGT GAAGAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

184
AAGCACAATT AATTAAGAGT GAAACG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

185
GACATCCTCC GAACCAGGGT CAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

186
TCAGTTCGAG GACCTAAACC GAAACA 26

nucleic acid

double

linear

cDNA to mRNA

not provided

187
GGAGGTTGAA GATAGACTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

188
GCAACCTGCA GATCGACTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

189
GACGGCTAAA GATTGACTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

190
AGTACCAGCT GATTGACTGT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

191
CTTCTCTGCA GAGCTGCTTT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

192
GGAGATTGAA AATCGACTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

193
GCAACCTGCA GATCGACTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

194
AAAACGTGCA GTTTGTTTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

195
AGTACCAGCT GATCGACTGT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

196
ATTCTCTGCA GAACTGCTTT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

197
GTAACATCCA GTTTGTCTTC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

198
TCTCAGAACT AGAGTGAAAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

199
GCTACGGACC CGCGTAAAGA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

200
TCTTCGGACG AGAGTGAAGA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

201
GGGAAATCGA AGATTGAGGA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

202
TCTCCGGAGA AGACGTGAAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

203
TCTCAGAACT AGAGTGAAAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

204
GCTGCGGACC CGTGTGAAGA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

205
TCTTCGGACG AGAGTGAAGA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

206
TTCCTGGACA AGATTGATGT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

207
CGCATGGAGG ACACTGAACC A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

208
AACTCGGGCA AGAGCACCAT C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

209
GGGCGGATGA TCATCCCAAG CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

210
AATATGATGA GGCAGCCAGC TA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

211
CAGTCTAACT ACATTCCAAC TC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

212
AATTCTATGA GCATGCCAAG GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

213
GACCTTTCTT AAATGTGACA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

214
CTGTGATCTC CAAGGCTGCG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

215
CTGCATTCTA GAACTTCACA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

216
TCAACGACTG CCGTGACATC 20

nucleic acid

double

linear

cDNA to mRNA

not provided

217
CTGCTTTCTG CCATGATGCG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

218
CTGATTTCCC ACGTTATGTT 20

nucleic acid

double

linear

cDNA to mRNA

not provided

219
TTGCTGACCC CCAGCGTGCG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

220
CTGCTTGCTG TCATTGTCAC 20

nucleic acid

double

linear

cDNA to mRNA

not provided

221
CTGCTTGCTG AGAAGGTCCT 20

nucleic acid

double

linear

cDNA to mRNA

not provided

222
CTGCTTTCTG CCATGATGCG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

223
CAGCTCTTTG CCCTGACTGG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

224
AAGCACAATT AATTAAGAGT GAAACG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

225
AACAGAAATA AAGAAATAAA TGAAAT 26

nucleic acid

double

linear

cDNA to mRNA

not provided

226
GATGTTCTCA GAACTAGAGT GAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

227
TGTCAGTTTG AAGACCTCAA TAAAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

228
GATGTGCTGC GGACCCGTGT GAAGAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

229
AGCAAGTTTG AGGACCTGAA TAAACG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

230
GATGTTCTTC GGACGAGAGT GAAGAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

231
TGCCAGTTTG AAGATCTGAA CCGAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

232
GACATCCTCC GAACCAGGGT CAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

233
ACACAGTTTG AAAGCAAAAA CCGCTC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

234
GATGTTCTCA GAACTAGAGT GAAAAC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

235
TGTCAGTTTG AAGACCTCAA TAAAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

236
CATGCTCTGA GCACTGGAGA GAAAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

237
AGCCAGCCTG TAGCCCTCAA TAAAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

238
GACAAGATTG ATGTGATCAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

239
AAGCAGGTCT ACCGGGCCAC GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

240
AAAATGTTTG ACGTGGGAGG CC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

241
AAGGAAATTT ACACCCACTT CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

242
AAGATGTTTG ATGTGGGTGG TC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

243
AAGGAGATCT ACACGCACTT CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

244
AAAATGTTTG ATGTAGGTGG CC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

245
AAGGAGGTCT ACACTCACTT TA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

246
AGGCTGTTTG ACGTTGGGGG CC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

247
CTAGAGATCT GCACCCCTCA CC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

248
AAGATGTTTG ATGTGGGTGG TC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

249
AAGGAGATCT ACACGCACTT CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

250
AAGATGTTTG ATGTGGGTGG TC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

251
AAGGAGATCT ACACGCACTT CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

252
AAGATGTTTG CTGTGGGTGT GG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

253
AAGGAGAACT ACAAGAAGTT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

254
CCGCAAGTGG ATCCAGTGCT TC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

255
AATGATGTGA CTGCCATCAT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

256
ATGTTGAAGC TGGGGCTCTA GT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

257
GAAGGCGTGA CTGCCATCAT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

258
CCTACACAGC AGGATGTGCT GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

259
GAGGGTGTCA CGGCCATCAT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

260
TTGTTTTAGC TGGCAGTGCT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

261
GAGGGAGTGA CAGCAATTAT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

262
CGGTTTTAGT TGAGTCTTTA CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

263
TCGGGAGTAT CAGCTCAACG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

264
TTGTTTTAGC TGGCAGTGCT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

265
GAGGGAGTGA CAGCAATTAT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

266
GTGTTTCAGA TGGCATTGCT GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

267
CAGGGAGTGG CAGACATTTT CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

268
GCCAACAAAA AGATCGAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

269
GGACAAAGTC AACTTCCACA TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

270
CGCAGCAAGA TGATCGACCG CA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

271
GGACAAGGCG GCCGTGGAGC GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

272
CAAAGGAAAA AGCACAAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

273
AGACAAAGCC CACCTGCTCA TT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

274
TGAGGAAAAA ATAAAGAGAA GT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

275
GTCAGGAGTA ATATTCCACA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

276
TTTGGCGAGA AGATTAAGAA GT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

277
CCGAGGAGCG GCGATGCACA TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

278
GCCAACAAAA AGATCGAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

279
GGACAAAGTC AACTTCCACA TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

280
GCCAACAAAA AGATCGAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

281
GGACAAAGTC AACTTCCACA TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

282
GCCAACAAAA AGATCGAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

283
GGACAAAGTC AACTTCCACA TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

284
GCCAACAAAA AGATCGAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

285
GGACAAAGTC AACTTCCACA TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

286
ACCAAAAACA AGATCAAGAA GC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

287
AGACAAATTC ATCTTCCACA AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

288
AGGACATCAA AAACAACCT 19

nucleic acid

double

linear

cDNA to mRNA

not provided

289
AGTGACCAGG ACCTGCTTC 19

nucleic acid

double

linear

cDNA to mRNA

not provided

290
GGGGCCGCCT CCGGGCCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

291
TATGACCTGG TTCTTGCTG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

292
CCATCATCCT CTTCCTCAA 19

nucleic acid

double

linear

cDNA to mRNA

not provided

293
TTCTGTTAGG TGCTGGAGA 19

nucleic acid

double

linear

cDNA to mRNA

not provided

294
GGCCAAAGAT CCGAACGGA 19

nucleic acid

double

linear

cDNA to mRNA

not provided

295
AATGACCAGT AGTTAATTT 19

nucleic acid

double

linear

cDNA to mRNA

not provided

296
AGGACATCCT CCGAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

297
TATGACCAGG TGCTCCACG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

298
AGGACATCCT CCGAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

299
TATGACCAGG TGCTCCACG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

300
AGGACATCCT CCGAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

301
TATGACCAGG TGCTCCACG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

302
AGGACATCCT CCGAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

303
TATGACCAGG TGCTCCACG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

304
AGGACATCCT CCGAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

305
TATGACCAGG TGCTCCACG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

306
AGGACATCCT CCGAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

307
TATGACCAGG TGCTCCACG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

308
GGGACATCTT CTCAACCAG 19

nucleic acid

double

linear

cDNA to mRNA

not provided

309
TATGACCAGG TGCTCAAGT 19

nucleic acid

double

linear

cDNA to mRNA

not provided

310
CCCTGAAGGA GGAGCCGCAG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

311
CCTTTAAAGA GGAGCCGCAG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

312
CCCTGAAGGA AGAGCCGCAG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

313
CCTTCAAGGA GGAACCGCAG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

314
CCCTGAAGGA GGAGCCTCAG AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

315
GTCGAGTTCG TCTTTCAGAA CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

316
GTCGAGTTCG TCCTTCAGAA AT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

317
GTCGAGTTCG TCTTTCATAA CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

318
GTCGTGTTCG TCGTGCCGAA CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

319
GTCGTGTTCC TCTTTCAGAA CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

320
GTCGTGTTCG TCTTTCAGAA CT 22

nucleic acid

double

linear

cDNA to mRNA

not provided

321
GGACAGTACT TTTACCCCCG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

322
ACCCAGTTCT TGTGCCCCAA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

323
ACGCAGTTCC TCTACCCGAA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

324
CGTGGGTCAA GACTCTGCTT GAGCTG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

325
GGACAGTACT TTTACCCCCG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

326
GGAAAGCAGC GGTACCCCAC 20

nucleic acid

double

linear

cDNA to mRNA

not provided

327
TCACAGTTCC TCTACCCCAA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

328
GGACAGCACT TTTAATCCCA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

329
GCCAGTTGCT GCTAGGGGTC 20

nucleic acid

double

linear

cDNA to mRNA

not provided

330
GCCAACTCAT GCTAACGCAG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

331
TCCAAATGCC GCAAGCGCAA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

332
GCCAGCCCCC GAGAACGCGC 20

nucleic acid

double

linear

cDNA to mRNA

not provided

333
GCCAACTCAT GCTAACGCAG 20

nucleic acid

double

linear

cDNA to mRNA

not provided

334
TCCAAGTGCC GCAAGCGCAA 20

nucleic acid

double

linear

cDNA to mRNA

not provided

335
CCCAACTCAT GCTGACGGGC 20

nucleic acid

double

linear

cDNA to mRNA

not provided

336
AAGGTCATGA CCCATGTCAG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

337
AAAGTCATGA ACCACGTTAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

338
AAAGTCCTCA GCCACGTCAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

339
AAGGTCATGA CCCACGTCAG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

340
AAAGTCATGA ACCACGTTAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

341
AAAGTCCTCA GCCACGTCAA C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

342
AAAATCCTCA GCCACATCCT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

343
AGGGCTTCGC CGACGGCTTT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

344
AGGGCTTCGC CGAGGGCTTC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

345
AGGGGTTCGC CGAGGGCTTC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

346
CCCCTGCCGC CGACGGCGCC C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

347
AGGAGTTCGC CGAGGGCTTC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

348
AGGAGTTCGC CGAAGGCTTC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

349
GGGGCGCCCC CGACGGCCGC G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

350
CTGGCTTCGC CGGATCTTGG G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

351
CGCCCTTCGC CGGTGGCCAC C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

352
CGGCACCCCC CGACGGCCTG C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

353
ACCACCACGC CGACGAGCTC A 21

nucleic acid

double

linear

cDNA to mRNA

not provided

354
AGCTCATACC CGACGGCCAC C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

355
CGCTGCGCCC CGACGGCGCC C 21

nucleic acid

double

linear

cDNA to mRNA

not provided

356
AGGGCTTCGT GCGCGCCCTG G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

357
NNNNNNNNNN NNN 13

nucleic acid

double

linear

cDNA to mRNA

not provided

358
TNNNNNNNNG NGN 13

nucleic acid

double

linear

cDNA to mRNA

not provided

359
ANNNNNNNNG TGG 13

nucleic acid

double

linear

cDNA to mRNA

not provided

360
CNNNNNNNNC NGG 13

nucleic acid

double

linear

cDNA to mRNA

not provided

361
NNNNNNNNNN NNN 13

nucleic acid

double

linear

cDNA to mRNA

not provided

362
NNNNNNNNNN NCN 13

nucleic acid

double

linear

cDNA to mRNA

not provided

363
TGAGCGGNNN NNN 13

21 base pairs

nucleic acid

single

linear

not provided

364
ATGTGCACTA AAATGGAACA G 21

21 base pairs

nucleic acid

single

linear

not provided

365
TGTGCACTAA AATGGAACAG C 21

21 base pairs

nucleic acid

single

linear

not provided

366
GTGCACTAAA ATGGAACAGC C 21

21 base pairs

nucleic acid

single

linear

not provided

367
TGCACTAAAA TGGAACAGCC C 21

21 base pairs

nucleic acid

single

linear

not provided

368
GCACTAAAAT GGAACAGCCC T 21

21 base pairs

nucleic acid

single

linear

not provided

369
CACTAAAATG GAACAGCCCT T 21

21 base pairs

nucleic acid

single

linear

not provided

370
ACTAAAATGG AACAGCCCTT C 21

21 base pairs

nucleic acid

single

linear

not provided

371
CTAAAATGGA ACAGCCCTTC T 21

21 base pairs

nucleic acid

single

linear

not provided

372
TAAAATGGAA CAGCCCTTCT A 21

21 base pairs

nucleic acid

single

linear

not provided

373
AAAATGGAAC AGCCCTTCTA C 21

21 base pairs

nucleic acid

single

linear

not provided

374
AAATGGAACA GCCCTTCTAC C 21

21 base pairs

nucleic acid

single

linear

not provided

375
AATGGAACAG CCCTTCTACC A 21

21 base pairs

nucleic acid

single

linear

not provided

376
ATGGAACAGC CCTTCTACCA C 21

21 base pairs

nucleic acid

single

linear

not provided

377
TGGAACAGCC CTTCTACCAC G 21

21 base pairs

nucleic acid

single

linear

not provided

378
GGAACAGCCC TTCTACCACG A 21

21 base pairs

nucleic acid

single

linear

not provided

379
GAACAGCCCT TCTACCACGA C 21

21 base pairs

nucleic acid

single

linear

not provided

380
AACAGCCCTT CTACCACGAC G 21

21 base pairs

nucleic acid

single

linear

not provided

381
ACAGCCCTTC TACCACGACG A 21

21 base pairs

nucleic acid

single

linear

not provided

382
CAGCCCTTCT ACCACGACGA C 21

21 base pairs

nucleic acid

single

linear

not provided

383
AGCCCTTCTA CCACGACGAC T 21

21 base pairs

nucleic acid

single

linear

not provided

384
GCCCTTCTAC CACGACGACT C 21

21 base pairs

nucleic acid

single

linear

not provided

385
CCCTTCTACC ACGACGACTC A 21

21 base pairs

nucleic acid

single

linear

not provided

386
CCTTCTACCA CGACGACTCA T 21

21 base pairs

nucleic acid

single

linear

not provided

387
CTTCTACCAC GACGACTCAT A 21

21 base pairs

nucleic acid

single

linear

not provided

388
TTCTACCACG ACGACTCATA C 21

21 base pairs

nucleic acid

single

linear

not provided

389
TCTACCACGA CGACTCATAC A 21

21 base pairs

nucleic acid

single

linear

not provided

390
CTACCACGAC GACTCATACA C 21

21 base pairs

nucleic acid

single

linear

not provided

391
TACCACGACG ACTCATACAC A 21

21 base pairs

nucleic acid

single

linear

not provided

392
ACCACGACGA CTCATACACA G 21

21 base pairs

nucleic acid

single

linear

not provided

393
CCACGACGAC TCATACACAG C 21

21 base pairs

nucleic acid

single

linear

not provided

394
CACGACGACT CATACACAGC T 21

21 base pairs

nucleic acid

single

linear

not provided

395
ACGACGACTC ATACACAGCT A 21

21 base pairs

nucleic acid

single

linear

not provided

396
CGACGACTCA TACACAGCTA C 21

21 base pairs

nucleic acid

single

linear

not provided

397
GACGACTCAT ACACAGCTAC G 21

21 base pairs

nucleic acid

single

linear

not provided

398
ACGACTCATA CACAGCTACG G 21

21 base pairs

nucleic acid

single

linear

not provided

399
CGACTCATAC ACAGCTACGG G 21

21 base pairs

nucleic acid

single

linear

not provided

400
GACTCATACA CAGCTACGGG A 21

21 base pairs

nucleic acid

single

linear

not provided

401
ACTCATACAC AGCTACGGGA T 21

21 base pairs

nucleic acid

single

linear

not provided

402
CTCATACACA GCTACGGGAT A 21

21 base pairs

nucleic acid

single

linear

not provided

403
TCATACACAG CTACGGGATA C 21

21 base pairs

nucleic acid

single

linear

not provided

404
CATACACAGC TACGGGATAC G 21

21 base pairs

nucleic acid

single

linear

not provided

405
ATACACAGCT ACGGGATACG G 21

21 base pairs

nucleic acid

single

linear

not provided

406
TACACAGCTA CGGGATACGG C 21

21 base pairs

nucleic acid

single

linear

not provided

407
ACACAGCTAC GGGATACGGC C 21

21 base pairs

nucleic acid

single

linear

not provided

408
CACAGCTACG GGATACGGCC G 21

21 base pairs

nucleic acid

single

linear

not provided

409
ACAGCTACGG GATACGGCCG G 21

21 base pairs

nucleic acid

single

linear

not provided

410
CAGCTACGGG ATACGGCCGG G 21

21 base pairs

nucleic acid

single

linear

not provided

411
AGCTACGGGA TACGGCCGGG C 21

21 base pairs

nucleic acid

single

linear

not provided

412
GCTACGGGAT ACGGCCGGGC C 21

21 base pairs

nucleic acid

single

linear

not provided

413
CTACGGGATA CGGCCGGGCC C 21

21 base pairs

nucleic acid

single

linear

not provided

414
TACGGGATAC GGCCGGGCCC C 21

21 base pairs

nucleic acid

single

linear

not provided

415
ACGGGATACG GCCGGGCCCC T 21

21 base pairs

nucleic acid

single

linear

not provided

416
CGGGATACGG CCGGGCCCCT G 21

nucleic acid

double

linear

cDNA to mRNA

not provided

417
ATGTGCACTA AAATGGAACA GCCCTTCTAC 30

nucleic acid

double

linear

cDNA to mRNA

not provided

418
TGTGCACTAA AATGGAACAG CCCTTCTAC 29

nucleic acid

double

linear

cDNA to mRNA

not provided

419
GTGCACTAAA ATGGAACAGC CCTTCTAC 28

nucleic acid

double

linear

cDNA to mRNA

not provided

420
TGCACTAAAA TGGAACAGCC CTTCTACC 28

nucleic acid

double

linear

cDNA to mRNA

not provided

421
GCACTAAAAT GGAACAGCCC TTCTACC 27

1044 base pairs

nucleic acid

single

linear

not provided

422
ATGTGCACTA AAATGGAACA GCCCTTCTAC CACGACGACT CATACACAGC TACGGGATAC 60
GGCCGGGCCC CTGGTGGCCT CTCTCTACAC GACTACAAAC TCCTGAAACC GAGCCTGGCG 120
GTCAACCTGG CCGACCCCTA CCGGAGTCTC AAAGCGCCTG GGGCTCGCGG ACCCGGCCCA 180
GAGGGCGGCG GTGGCGGCAG CTACTTTTCT GGTCAGGGCT CGGACACCGG CGCGTCTCTC 240
AAGCTCGCCT CTTCGGAGCT GGAACGCCTG ATTGTCCCCA ACAGCAACGG CGTGATCACG 300
ACGACGCCTA CACCCCCGGG ACAGTACTTT TACCCCCGCG GGGGTGGCAG CGGTGGAGGT 360
GCAGGGGGCG CAGGGGGCGG CGTCACCGAG GAGCAGGAGG GCTTCGCCGA CGGCTTTGTC 420
AAAGCCCTGG ACGATCTGCA CAAGATGAAC CACGTGACAC CCCCCAACGT GTCCCTGGGC 480
GCTACCGGGG GGCCCCCGGC TGGGCCCGGG GGCGTCTACG CCGGCCCGGA GCCACCTCCC 540
GTTTACACCA ACCTCAGCAG CTACTCCCCA GCCTCTGCGT CCTCGGGAGG CGCCGGGGCT 600
GCCGTCGGGA CCGGGAGCTC GTACCCGACG ACCACCATCA GCTACCTCCC ACACGCGCCG 660
CCCTTCGCCG GTGGCCACCC GGCGCAGCTG GGCTTGGGCC GCGGCGCCTC CACCTTCAAG 720
GAGGAACCGC AGACCGTGCC GGAGGCGCGC AGCCGGGACG CCACGCCGCC GGTGTCCCCC 780
ATCAACATGG AAGACCAAGA GCGCATCAAA GTGGAGCGCA AGCGGCTGCG GAACCGGCTG 840
GCGGCCACCA AGTGCCGGAA GCGGAAGCTG GAGCGCATCG CGCGCCTGGA GGACAAGGTG 900
AAGACGCTCA AGGCCGAGAA CGCGGGGCTG TCGAGTACCG CCGGCCTCCT CCGGGAGCAG 960
GTGGCCCAGC TCAAACAGAA GGTCATGACC CACGTCAGCA ACGGCTGTCA GCTGCTGCTT 1020
GGGGTCAAGG GACACGCCTT CTGA 1044

1044 base pairs

nucleic acid

single

linear

not provided

423
ATGTGCACTA AAATGGAACA GCCCTTCTAC CACGACGACT CATACACAGC TACGGGATAC 60
GGCCGGGCCC CTGGTGGCCT CTCTCTACAC GACTACAAAC TCCTGAAACC GAGCCTGGCG 120
GTCAACCTGG CCGACCCCTA CCGGAGTCTC AAAGCGCCTG GGGCTCGCGG ACCCGGCCCA 180
GAGGGCGGCG GTGGCGGCAG CTACTTTTCT GGTCAGGGCT CGGACACCGG CGCGTCTCTC 240
AAGCTCGCCT CTTCGGAGCT GGAACGCCTG ATTGTCCCCA ACAGCAACGG CGTGATCACG 300
ACGACGCCTA CACCCCCGGG ACAGTACTTT TACCCCCGCG GGGGTGGCAG CGGTGGAGGT 360
GCAGGGGGCG CAGGGGGCGG CGTCACCGAG GAGCAGGAGG GCTTCGCCGA CGGCTTTGTC 420
AAAGCCCTGG ACGATCTGCA CAAGATGAAC CACGTGACAC CCCCCAACGT GTCCCTGGGC 480
GCTACCGGGG GGCCCCCGGC TGGGCCCGGG GGCGTCTACG CCGGCCCGGA GCCACCTCCC 540
GTTTACACCA ACCTCAGCAG CTACTCCCCA GCCTCTGCGT CCTCGGGAGG CGCCGGGGCT 600
GCCGTCGGGA CCGGGAGCTC GTACCCGACG ACCACCATCA GCTACCTCCC ACACGCGCCG 660
CCCTTCGCCG GTGGCCACCC GGCGCAGCTG GGCTTGGGCC GCGGCGCCTC CACCTTCAAG 720
GAGGAACCGC AGACCGTGCC GGAGGCGCGC AGCCGGGACG CCACGCCGCC GGTGTCCCCC 780
ATCAACATGG AAGACCAAGA GCGCATCAAA GTGGAGCGCA AGCGGCTGCG GAACCGGCTG 840
GCGGCCACCA AGTGCCGGAA GCGGAAGCTG GAGCGCATCG CGCGCCTGGA GGACAAGGTG 900
AAGACGCTCA AGGCCGAGAA CGCGGGGCTG TCGAGTACCG CCGGCCTCCT CCGGGAGCAG 960
GTGGCCCAGC TCAAACAGAA GGTCATGACC CACGTCAGCA ACGGCTGTCA GCTGCTGCTT 1020
GGGGTCAAGG GACACGCCTT CTGA 1044

996 base pairs

nucleic acid

single

linear

not provided

424
ATGACTGCAA AGATGGAAAC GACCTTCTAT GACGATGCCC TCAACGCCTC GTTCCTCCCG 60
TCCGAGAGCG GACCTTATGG CTACAGTAAC CCCAAGATCC TGAAACAGAG CATGACCCTG 120
AACCTGGCCG ACCCAGTGGG GAGCCTGAAG CCGCACCTCC GCGCCAAGAA CTCGGACCTC 180
CTCACCTCGC CCGACGTGGG GCTGCTCAAG CTGGCGTCGC CCGAGCTGGA GCGCCTGATA 240
ATCCAGTCCA GCAACGGGCA CATCACCACC ACGCCGACCC CCACCCAGTT CCTGTGCCCC 300
AAGAACGTGA CAGATGAGCA GGAGGGGTTC GCCGAGGGCT TCGTGCGCGC CCTGGCCGAA 360
CTGCACAGCC AGAACACGCT GCCCAGCGTC ACGTCGGCGG CGCAGCCGGT CAACGGGGCA 420
GGCATGGTGG CTCCCGCGGT AGCCTCGGTG GCAGGGGGCA GCGGCAGCGG CGGCTTCAGC 480
GCCAGCCTGC ACAGCGAGCC GCCGGTCTAC GCAAACCTCA GCAACTTCAA CCCAGGCGCG 540
CTGAGCAGCG GCGGCGGGGC GCCCTCCTAC GGCGCGGCCG GCCTGGCCTT TCCCGCGCAA 600
CCCCAGCAGC AGCAGCAGCC GCCGCACCAC CTGCCCCAGC AGATGCCCGT GCAGCACCCG 660
CGGCTGCAGG CCCTGAAGGA GGAGCCTCAG ACAGTGCCCG AGATGCCCGG CGAGACACCG 720
CCCCTGTCCC CCATCGACAT GGAGTCCCAG GAGCGGATCA AGGCGGAGAG GAAGCGCATG 780
AGGAACCGCA TCGCTGCCTC CAAGTGCCGA AAAAGGAAGC TGGAGAGAAT CGCCCGGCTG 840
GAGGAAAAAG TGAAAACCTT GAAAGCTCAG AACTCGGAGC TGGCGTCCAC GGCCAACATG 900
CTCAGGGAAC AGGTGGCACA GCTTAAACAG AAAGTCATGA ACCACGTTAA CAGTGGGTGC 960
CAACTCATGC TAACGCAGCA GTTGCAAACA TTTTGA 996

1044 base pairs

nucleic acid

single

linear

not provided

425
ATGGAAACAC CCTTCTACGG CGATGAGGCG CTGAGCGGCC TGGGCGGCGG CGCCAGTGGC 60
AGCGGCGGCA CGTTCGCGTC CCCGGGCCGC TTGTTCCCCG GGGCGCCCCC GACGGCCGCG 120
GCCGGCAGCA TGATGAAGAA GGACGCGCTG ACGCTGAGCC TGAGTGAGCA GGTGGCGGCA 180
GCGCTCAAGC CTGCGCCCGC GCCCGCCTCC TACCCCCCTG CCGCCGACGG CGCCCCCAGC 240
GCGGCACCCC CCGACGGCCT GCTCGCCTCT CCCGACCTGG GGCTGCTGAA GCTGGCCTCC 300
CCCGAGCTCG AGCGCCTCAT CATCCAGTCC AACGGGCTGG TCACCACCAC GCCGACGAGC 360
TCACAGTTCC TCTACCCCAA GGTGGCGGCC AGCGAGGAGC AGGAGTTCGC CGAGGGCTTC 420
GTCAAGGCCC TGGAGGATTT ACACAAGCAG AACCAGCTCG GCGCGGGCCG GGCCGCTGCC 480
GCCGCCGCCG CCGCCGCCGG GGGGCCCTCG GGCACGGCCA CGGGCTCCGC GCCCCCCGGC 540
GAGCTGGCCC CGGCGGCGGC CGCGCCCGAA GCGCCTGTCT ACGCGAACCT GAGCAGCTAC 600
GCGGGCGGCG CCGGGGGCGC GGGGGGCGCC GCGACGGTCG CCTTCGCTGC CGAACCTGTG 660
CCCTTCCCGC CGCCGCCACC CCCAGGCGCG TTGGGGCCGC CGCGCCTGGC TGCGCTCAAG 720
GACGAGCCAC AGACGGTGCC CGACGTGCCG AGCTTCGGCG AGAGCCCGCC GTTGTCGCCC 780
ATCGACATGG ACACGCAGGA GCGCATCAAG GCGGAGCGCA AGCGGCTGCG CAACCGCATC 840
GCCGCCTCCA AGTGCCGCAA GCGCAAGCTG GAGCGCATCT CGCGCCTGGA AGAGAAAGTG 900
AAGACCCTCA AGAGTCAGAA CACGGAGCTG GCGTCCACGG CGAGCCTGCT GCGCGAGCAG 960
GTGGCGCAGC TCAAGCAGAA AGTCCTCAGC CACGTCAACA GCGGCTGCCA GCTGCTGCCC 1020
CAGCACCAGG TCCCGGCGTA CTGA 1044

1035 base pairs

nucleic acid

single

linear

not provided

426
ATGTGCACGA AAATGGAACA GCCTTTCTAT CACGACGACT CTTACGCAGC GGCGGGATAC 60
GGTCGGAGCC CTGGCAGCCT GTCTCTACAC GACTACAAAC TCCTGAAACC CACCTTGGCG 120
CTCAACCTGG CGGATCCCTA TCGGGGTCTC AAGGGTCCTG GGGCGCGGGG TCCAGGCCCG 180
GAGGGCAGTG GGGCAGGCAG CTACTTTTCG GGTCAGGGAT CAGACACAGG CGCATCTCTG 240
AAGCTAGCCT CCACGGAACT GGAGCGCTTG ATCGTCCCCA ACAGCAACGG CGTGATCACG 300
ACGACGCCCA CGCCTCCGGG ACAGTACTTT TACCCCCGTG GGGGTGGCAG CGGTGGAGGT 360
ACAGGGGGCG GCGTCACCGA GGAGCAGGAG GGCTTTGCGG ACGGTTTTGT CAAAGCCCTG 420
GACGACCTGC ACAAGATGAA CCACGTGACG CCCCCCAACG TGTCCCTGGG CGCCAGCGGG 480
GGTCCCCAGG CCGGCCCAGG GGGCGTCTAT GCTGGTCCGG AGCCGCCTCC CGTCTACACC 540
AACCTCAGCA GTTACTCTCC AGCCTCTGCA CCCTCTGGAG GCTCCGGGAC CGCCGTCGGG 600
ACTGGGAGCT CATACCCGAC GGCCACCATC AGCTACCTCC CACATGCACC ACCCTTTGCG 660
GGCGGCCACC CGGCACAGCT GGGTTTGAGT CGTGGCGCTT CCGCCTTTAA AGAGGAACCG 720
CAGACCGTAC CGGAGGCACG CAGCCGCGAC GCCACGCCGC CTGTGTCCCC CATCAACATG 780
GAAGACCAGG AGCGCATCAA AGTGGAGCGA AAGCGGCTGC GGAACAGGCT GGCGGCCACC 840
AAGTGCCGGA AGCGGAAGCT GGAGCGCATC GCGCGCCTGG AGGACAAGGT GAAGACACTC 900
AAGGCTGAGA ACGCGGGGCT GTCGAGTGCT GCCGGTCTCC TAAGGGAGCG AGTGGCGCAG 960
CTCAAGCAGA AGGTCATGAC CCATGTCAGC AACGGCTGCC AGTTGCTGCT AGGGGTCAAG 1020
GGACACGCCT TCTGA 1035

1005 base pairs

nucleic acid

single

linear

not provided

427
ATGACTGCAA AGATGGAAAC GACCTTCTAC GACGATGCCC TCAACGCCTC GTTCCTCCAG 60
TCCGAGAGCG GTGCCTACGG CTACAGTAAC CCTAAGATCC TAAAACAGAG CATGACCTTG 120
AACCTGGCCG ACCCGGTGGG CAGTCTGAAG CCGCACCTCC GCGCCAAGAA CTCGGACCTT 180
CTCACGTCGC CCGACGTCGG GCTGCTCAAG CTGGCGTCGC CGGAGCTGGA GCGCCTGATC 240
ATCCAGTCCA GCAATGGGCA CATCACCACT ACACCGACCC CCACCCAGTT CTTGTGCCCC 300
AAGAACGTGA CCGACGAGCA GGAGGGCTTC GCCGAGGGCT TCGTGCGCGC CCTGGCTGAA 360
CTGCATAGCC AGAACACGCT TCCCAGTGTC ACCTCCGCGG CACAGCCGGT CAGCGGGGCG 420
GGCATGGTGG CTCCCGCGGT GGCCTCAGTA GCAGGCGCTG GCGGCGGTGG TGGCTACAGC 480
GCCAGCCTGC ACAGTGAGCC TCCGGTCTAC GCCAACCTCA GCAACTTCAA CCCGGGTGCG 540
CTGAGCAGCG GCGGTGGGGC GCCCTCCTAT GGCGCGGCCG GGCTGGCCTT TCCCTCGCAG 600
CCGCAGCAGC AGCAGCAGCC GCCTCAGCCG CCGCACCACT TGCCCCAACA GATCCCGGTG 660
CAGCACCCGC GGCTGCAAGC CCTGAAGGAA GAGCCGCAGA CCGTGCCGGA GATGCCGGGA 720
GAGACGCCGC CCCTGTCCCC TATCGACATG GAGTCTCAGG AGCGGATCAA GGCAGAGAGG 780
AAGCGCATGA GGAACCGCAT TGCCGCCTCC AAGTGCCGGA AAAGGAAGCT GGAGCGGATC 840
GCTCGGCTAG AGGAAAAAGT GAAAACCTTG AAAGCGCAAA ACTCCGAGCT GGCATCCACG 900
GCCAACATGC TCAGGGAACA GGTGGCACAG CTTAAGCAGA AAGTCATGAA CCACGTTAAC 960
AGTGGGTGCC AACTCATGCT AACGCAGCAG TTGCAAACGT TTTGA 1005

1026 base pairs

nucleic acid

single

linear

not provided

428
ATGGAAACGC CCTTCTATGG CGAGGAGGCG CTGAGCGGCC TGGCTGCGGG TGCGTCGAGC 60
GTCGCTGGTG CTACTGGGGC CCCCGGCGGT GGTGGCTTCG CGCCCCCGGG CCGCGCTTTC 120
CCCGGGGCGC CCCCGACGAC CAGCATGCTG AAGAAAGACG CGCTGACGCT CAGCCTGGCG 180
GAGCAGGGAG CGGCGGGATT GAAACCAGGG TCGGCCACTG CACCTTCTGC GCTGCGCCCC 240
GACGGCGCCC CCGACGGGCT GCTGGCTTCG CCGGATCTTG GGCTGCTCAA ACTCGCGTCG 300
CCGGAGCTGG AGAGGCTGAT CATCCAGTCC AACGGGCTGG TGACCACTAC CCCGACCAGT 360
ACGCAGTTCC TCTACCCGAA GGTGGCAGCC AGCGAGGAGC AGGAGTTCGC CGAAGGCTTC 420
GTCAAGGCGC TGGAGGACCT GCACAAGCAA AGCCAGCTGG GTGCGGCCAC CGCGGCCACC 480
TCAGGGGCTC CCGCGCCTCC CGCGCCCGCC GACCTGGCCG CCACCCCCGG GGCCACGGAG 540
ACCCCGGTCT ACGCCAACCT GAGCAGTTTC GCGGGTGGCG CCGGGCCCCC TGGGGGCGCG 600
GCCACCGTGG CTTTCGCCGC GGAGCCAGTG CCCTTCCCGC CGCCCCCGGG CGCGCTGGGG 660
CCGCCGCCAC CTCCGCATCC ACCGCGCCTG GCCGCGCTCA AGGACGAGCC GCAGACCGTG 720
CCGGACGTGC CGAGCTTCGG CGACAGCCCT CCGCTGTCGC CCATCGACAT GGACACGCAA 780
GAACGCATCA AGGCGGAGCG CAAGAGGCTG CGCAACCGCA TCGCCGCCTC CAAATGCCGC 840
AAGCGCAAGC TGGAGCGTAT CTCGCGCCTG GAGGAGAAAG TCAAGACCCT CAAAAGCCAG 900
AACACCGAGC TGGCGTCCAC CGCCAGCCTG CTGCGCGAGC AGGTGGCGCA GCTCAAACAG 960
AAAGTCCTCA GCCACGTCAA CAGCGGCTGC CAGCTGCTGC CCCAGCACCA GGTCCCGGCG 1020
TACTGA 1026

nucleic acid

double

linear

cDNA to mRNA

not provided

600
CACGACTACA AACTCCTGAA AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

601
AAATACAATA AACTATTGAA AA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

602
TACGAGTCCA CATTCCTGTT CC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

603
CACGACTACA AACTCCTGAA AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

604
AGTAACCCCA AGATCCTGAA AC 22

nucleic acid

double

linear

cDNA to mRNA

not provided

605
TACGAGTCCA CATTCCTGTT TG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

606
CACGACTTCA ACGTCCTGAG TA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

614
GAGGACAAGG TGAAGACACT CAAGGC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

615
GAGGAAAAAG TGAAAACCTT GAAAGC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

616
GAGGAGAAAG TCAAGACCCT CAAAAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

617
GAGGACAAGG TGAAGACGCT CAAGGC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

618
GAGGAAAAAG TGAAAACCTT GAAAGC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

619
GAAGAGAAAG TGAAGACCCT CAAGAG 26

nucleic acid

double

linear

cDNA to mRNA

not provided

620
AAAGAAAAAA AGAAAAACTT AAAAGC 26

nucleic acid

double

linear

cDNA to mRNA

not provided

628
CTGGGGCCGA GCACTGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

629
TAAGTGCCAG GCTAGAC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

630
GACGTGCCGA GCTTCGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

631
CACGCGCCGC CCTTCGC 17

nucleic acid

double

linear

cDNA to mRNA

not provided

632
TAAGTGTTGA GCTCGGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

633
GACGTGCCGA GCTTCGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

634
GACGTGTGGA GCTTCGG 17

nucleic acid

double

linear

cDNA to mRNA

not provided

700
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

701
TGTTTGATGT GGGAGGCCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

702
AGCACAATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

703
AGCACCATCG TCAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

704
AGTACTATTG TGAAACAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

705
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

706
AGCACCATTG TGAAGCAGAT GA 22

nucleic acid

double

linear

cDNA to mRNA

not provided

707
TGTTTGATGT AGGTGGCCAA AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

708
TGTTCGATGT GGGCGGCCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

709
TGTTTGACGT TGGGGGCCAG CG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

805
TGTTTGACGT GGGAGGCCAG AG 22

nucleic acid

double

linear

cDNA to mRNA

not provided

806
TGTTTGATGT GGGTGGTCAG CG 22

Number	Name	Date
4675285	Clark et al.	Jun 1987
4729950	Kricka et al.	Mar 1988
4734363	Dattagupta et al.	Mar 1988
4751177	Stabinsky	Jun 1988
4797355	Stabinsky	Jan 1989
4851330	Kohne	Jul 1989
4894325	Englehardt et al.	Jan 1990
4978724	Clark	Dec 1990
5081584	Omichinski et al.	Jan 1992
5082935	Cruickshak	Jan 1992
5084565	Parodos et al.	Jan 1992

Number	Date	Country
0130515	Jan 1985	EP
0152886	Aug 1985	EP
0370694	May 1990	EP
0369775	May 1990	EP
9006045	Jun 1990	EP
9006042	Jun 1990	EP
0422872	Apr 1991	EP
0469610	Feb 1992	EP
2187283	Sep 1987	GB
3168085	Jul 1991	JP
8603782	Jul 1986	WO
8801302	Feb 1988	WO
9006045	Jun 1990	WO
9006044	Jun 1990	WO
9102092	Feb 1991	WO

	Number	Date	Country
Parent	07/857059	Mar 1992	US
Child	07/974409		US
Parent	07/827208	Jan 1992	US
Child	07/857059		US
Parent	07/827975	Jan 1992	US
Child	07/827208		US

Method for measuring messenger RNA

Information

Patent Number

Date Filed

Date Issued

Inventors

Original Assignees

Examiners

Agents

CPC

US Classifications

Field of Search

US

International Classifications

Abstract

Description

Claims

RELATED APPLICATIONS

US Referenced Citations (11)

Foreign Referenced Citations (15)

Non-Patent Literature Citations (56)

Continuation in Parts (3)

Entry
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