Gene panel participating in liver regeneration

Abstract

A gene panel comprising a group of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state is produced by the following steps: (a) the step of measuring expression levels of various genes in hepatocytes of a model animal in a normal state and expression levels of the genes during liver regeneration; (b) the step of comparing the expression levels, respectively; and (c) the step of identifying a group of genes of which expression levels change during liver regeneration.

Description

TECHNICAL FIELD

The present invention relates to a gene panel comprising a group of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state and a method for producing the same as well as use of the gene panel. These aspects of the present invention are useful in the fields of diagnosis, drug and so forth.

BACKGROUND ART

After partial hepatectomy in liver cancer treatment or transplantation of partially resected liver in liver disease treatment, rapid regeneration of the remaining liver or transplanted liver is important. However, poor liver regeneration is observed in not a few cases. Further, adults often have fatty livers, and fatty livers often lead to poor regeneration, which causes problems after partial hepatectomy. Furthermore, in order to compensate for damaged liver in hepatitis, it is important to accelerate liver regeneration. Delay in the regeneration worsens hepatitis and can lead to fulminant hepatitis, of which prognosis is poor.

Accordingly, medical care that accelerates liver regeneration is being required, and it can be said that screening for drugs accelerating liver regeneration is important. However, in spite of such requirement, no effective therapeutic agent that accelerates liver regeneration has been found, and no method for efficiently screening for drugs that accelerate liver regeneration has been known.

It is known that, when partial hepatectomy is performed in a rat, liver regeneration is quickly started, and that the hepatocyte population size comes back to the size before the hepatectomy in about 1 week. While it is considered that liver regeneration is accelerated by interactions of two or more kinds of associated genes, the overall picture of liver regeneration process remains unknown for what kinds of genes function at what kinds of timings. Since it is considered that many genes are involved in liver regeneration, it is considered that it is important to examine a large number of important genes involved in liver regeneration to grasp the overall picture of liver regeneration. However, although attempts have been made so far to reproduce liver regeneration in a culture system including a combination of genes and proteins considered to be involved in liver regeneration, no one has succeeded yet. Further, gene screenings utilizing changes in expression observed during liver regeneration as index have been reported (Xu W et al., Biochem. Biophys. Represents. Commun., 278(2): 318-25, 2000; Kar S and Carr B I, Biochem. Biophys. Represents. Commun., 212(1): 21-6, 1995; Mohn K L, et al., Mol. Cell Biol., 11(1): 381-90, 1991; Sobczak J et al., Exp. Cell Res., 169(1): 47-56, 1987; Huber B E et al., Hepatology, 6(2): 209-19, 1986). However, in these screenings, expressions of only a few types of genes have been examined.

DISCLOSURE OF THE INVENTION

The present invention was accomplished in view of the above, and its object is to provide a gene panel comprising genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state and a method for screening for a drug that accelerates liver regeneration by utilizing the gene panel.

The inventors of the present invention considered that liver regeneration could be accelerated by realizing behaviors of genes involved in liver regeneration close to those of their patterns observed when liver regeneration was being accelerated. Then, they examined expression profiles of various genes during liver regeneration by using partially hepatectomized rats to obtain expression information about genes involved in liver regeneration, and thus accomplished the present invention.

That is, the present invention provides the followings.

(1) A gene panel comprising names of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state and expression profiles of the genes.

(2) The gene panel according to (1), wherein the changes of the gene expression levels are changes in the expression levels in a model animal after partial hepatectomy as compared with the expression levels in a normal state in the model animal.

(3) The gene panel according to (1) or (2), wherein the expression profiles include expression profiles over time during liver regeneration.

(4) The gene panel according to any one of (1) to (3), which includes sequence information of a group of PCR primers for analyzing the expression profiles of the genes.

(5) The gene panel according to any one of (2) to (4), wherein the model animal is a rat.

(6) The gene panel according to any one of (1) to (5), which includes expression profiles of at least 6 types of genes among 166 types of the genes represented by the numbers 1 to 166 in Tables 1, 6 and 7.

(7) The gene panel according to (6), wherein the at least 6 types of genes are selected from 151 types of the genes represented by numbers 1 to 151 in Tables 1 and 6.

(8) The gene panel according to (6), wherein the at least 6 types of genes are selected from 137 types of the genes represented by the numbers 1 to 137 in Tables 1 and 6.

(9) The gene panel according to any one of (6) to (8), wherein the at least 6 types of genes are the genes represented by the numbers 5, 17, 36, 46, 67 and 68 in Table 1.

(10) A method for producing a gene panel comprising expression profiles of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state, which comprises the steps of:

(a) measuring expression levels of various genes in hepatocytes of a model animal in a normal state and expression levels of the genes during liver regeneration;

(b) comparing the expression levels, respectively; and

(c) identifying a group of genes of which expression levels change during liver regeneration and producing expression profiles from information about gene names and changes in the expression levels.

(11) The method according to (10), wherein, in the step (a), the expression levels of the gene are analyzed over time during liver regeneration.

(12) The method according to (11), wherein a liver regeneration accelerating substance is administered before, during or after liver regeneration.

(13) The method according to (12), wherein the liver regeneration accelerating substance is L-alanine.

(14) The method according to any one of (10) to (13), wherein the gene expression levels are analyzed by one or more kinds of methods selected from the gene chip method, the ATAC-PCR method and the Taqman PCR (SYBR Green) method.

(15) The method according to (14), wherein the gene expression levels are analyzed by the gene chip method and the ATAC-PCR method.

(16) The method according to (14), wherein the gene expression levels are analyzed by the Taqman PCR (SYBR Green) method.

(17) A method for screening for a drug involved in liver regeneration, which comprises administering a drug to a model animal or liver tissue or cells and profiling expressions of genes constituting the gene panel according to (1).

(18) A method for evaluating a condition of liver, which comprises profiling expressions of genes constituting the gene panel according to (1) for liver of a subject.

(19) A group of primers used in the method for producing a gene panel according to (10), the screening method according to (17) or the evaluation method according to (18), which comprises all or a part of the oligonucleotides of SEQ ID NOS: 1 to 127 and 135 to 192.

Hereafter, the present invention will be explained in detail.

<1> Gene Panel of the Present Invention

The gene panel of the present invention is a gene panel comprising names of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state and gene expression profiles of the genes.

The gene panel of the present invention can be produced by the following steps:

(a) the step of measuring expression levels of genes in hepatocytes of a model animal in a normal state and expression levels of the genes during liver regeneration;

(b) the step of comparing the expression levels, respectively; and

(c) the step of identifying a group of genes of which expression levels change during liver regeneration and producing expression profiles from information about gene names and changes in expression levels.

The liver regeneration refers to a phenomenon that, when a part of cells in the liver are damaged or lost due to resection or the like, the condition is repaired and goes back to the original normal liver condition. For example, this phenomenon is observed in the remaining liver or transplanted liver after partial hepatectomy in liver cancer treatment or transplantation of partially resected liver in liver disease treatment.

The gene expression level is synonymous with expression amount, expression intensity or expression frequency of a gene, and is usually analyzed based on a production amount of a transcription product corresponding to the gene, activity of its translation product or the like.

The gene expression level can be measured by methods usually utilized in analyses of gene expressions. Examples of preferred methods include the gene chip method, the gene microarray method, the gene macroarray method and so forth. In these methods, gene fragments arrayed and immobilized on a certain plate (usually, slide glass) are used. This chip is hybridized with fluorescence-labeled mRNA, and the type and amount of the mRNA are measured.

Further, as methods preferred in the present invention, the ATAC-PCR method and the Taqman PCR (SYBR Green) method can be mentioned. The ATAC-PCR method is a type of the quantitative PCR technique developed by Kato et al (Kato, K. et al., Nucl. Acids Res., 25, 4694-4696, 1997) and is characterized in that it enables quantification of expression of a trace amount sample. Further, while conventional quantitative PCR methods enable quantification of expressions of several tens of types of genes at most, the ATAC-PCR method enables quantification of expressions of 1000 or more types of genes. The Taqman PCR (SYBR Green method) is a common technique for quantitative RT-PCR (Schmittgen T D, Methods, 25, 383-385, 2001) and is characterized in that primers can be readily designed. Moreover, its procedure is simple, and expressions of a large number of genes can be measured in a short time (40 to 150 genes/2 hours).

Besides the above, examples of the gene expression analysis method include the body map method (Gene, 174, 151-158, 1996), serial analysis of gene expression (SAGE) (U.S. Patent Application Nos. 527,154 and 544,861, European Patent Publication No. 0761822), micro-analysis of gene expression (MAGE) (Japanese Patent Laid-open Publication (Kokai) No. 2000-232888) and so forth.

The body map method will be outlined below. A poly-T sequence on a vector and a poly-A tail at the 3′ end of mRNA are ligated, and cDNA is synthesized by using the vector poly-T sequence as a primer. Further, the cDNA is digested with a restriction enzyme MboI. Since one MboI site exists per 300 base pairs on average on cDNA, the cDNA on the vector is divided into fragments of 300 base pairs in average. At this time, the cDNA fragment closest to the poly-A tail remains as ligated to the vector. The vector having this cDNA fragment is cyclized and introduced into Escherichia coli to construct a cDNA library. About 1000 clones are arbitrarily selected from the library, and a nucleotide sequence of 300 base pairs in average is determined for each clone. Among these sequences, clones comprising the same sequences are collected, and the type and the emerging frequency of each sequence are obtained to create a gene expression profile. Homology search (BLAST search) in the data bank is performed for each cDNA sequence, and a clone having the same sequence as that of a known gene is given the name of the gene. When the sequence is not registered at the data bank, it is assumed that a gene corresponding to the sequence does not exist.

In order to perform the homology search by the BLAST search, information of at least 11 base pairs is necessary. There are about one million types of genes having sequences comprising 10 nucleotides. This number of types is far more than the number of 100,000 types of genes expected to exist in human. That is, if there is information about 11 base pairs, genes having the sequence can be identified, and the gene expression profiles can be analyzed. Therefore, in order to efficiently analyze gene expression profiles by the body map method requiring many sequences, cDNA fragments having about 300 base pairs in the body map can be further divided into short fragments having 11 base pairs or more (referred to as “tag”), and these fragments can be further ligated to one another as many kinds of fragments and inserted into a vector to construct a ligated tag library. Then, if about 1000 clones are arbitrarily selected as in the body map method to determine the DNA sequences of the ligated tags, it can be expected that information about expressions of more genes can be obtained with the same procedure as in the body map method. Each tag represents a gene sequence, and the emerging frequency of the tag represents the expression frequency of the gene. Since the length of a DNA sequence that can be determined in one sequencing is usually about 600 base pairs, DNA sequences of about 50 tags at most can be determined by one sequencing. That is, gene expression profile analysis can be performed with about 50 times higher efficiency at most compared with the body map method.

The SAGE method is a method for analyzing gene expression profiles based on the above concept. The SAGE method is performed as follows. cDNA is prepared by using a poly-T bonded with biotin at the 3′ end as a primer and digested with a restriction enzyme such as MboI (referred to as “anchoring enzyme”) as in the body map, and then a cDNA fragment including the 3′ end bonded with biotin is adsorbed on avidin beads. Then, the beads are divided into two portions, and one of two types of linkers (A and B) is bonded to the cDNA fragment (about 13 bp) adsorbed on the beads of one of the two portions, respectively. A site for a Class II restriction enzyme such as BsmFI (referred to as “tagging enzyme”) is added to each linker beforehand. The cDNA fragments are excised from the beads with the tagging enzyme, the digestion sites are blunt-ended, and the tag ligated to the linker A and the tag ligated to the linker B are ligated to each other. This product is called a ditag. The ditag is amplified by PCR using primers recognizing the linker A and the linker B. The amplified ditags are ligated to one another as many kinds of fragments and incorporated into a vector and sequenced. About 50 tag sequences can be obtained per sequencing. This tag sequence information is collected to obtain the gene expression frequency.

The MAGE method is a modified version of the aforementioned method, and is a method enabling gene expression frequency analysis with high efficiency and precision, in which cDNAs are synthesized from mRNAs by using a vector primer having a poly-T sequence, the cDNA sequences are tagged on a vector, the obtained tags are ligated via a sequence that allows identification of the tag end to form a concatemer, and the nucleotide sequence of the concatemer is analyzed.

In the present invention, the gene expression analysis method is not particularly limited so long as gene expression levels can be analyzed, and any of currently known methods and methods to be developed in future can be employed. Among the methods mentioned above, particularly preferred are the gene chip method, the gene microarray method, the ATAC-PCR method and the Taqman PCR (SYBR Green) method.

In the present invention, gene expression levels may be analyzed based on results obtained by a single kind of method or results obtained by two or more kinds of methods. Although the analysis can be performed by a single kind of method to a certain extent, more precise analysis can be attained by using two or more kinds of methods in combination. Specifically, a correlation coefficient is calculated for results obtained by two or more kinds of methods, for example, the gene chip method and the ATAC-PCR methods. When the correlation coefficient is a certain value or higher, it is assumed that the expression level of the corresponding gene has changed.

Various gene chips, gene microarrays and gene macroarrays of human or animal such as mouse are commercially available, and these may be used in the present invention.

In the present invention, changes in gene expression levels can be analyzed by measuring expression levels of various genes in hepatocytes in a normal state and expression levels of these genes during liver regeneration and comparing their expression levels, respectively. The gene expression levels during liver regeneration are analyzed by, for example, using a model animal such as a partially hepatectomized rat and measuring the gene expression levels in hepatocytes after the hepatectomy. On the other hand, the gene expression levels in a normal state are typically measured immediately before the hepatectomy. The gene expression levels are preferably analyzed over time during liver regeneration.

As described above, a group of genes of which expression levels change during liver regeneration is identified. Expression profiles of these genes are produced by allocating information about the change of analyzed expression level to the identified gene, respectively.

Further, in the present invention, as genes of which expression levels change during liver regeneration as compared with those in a normal state, that is, candidates of genes considered to be involved in liver regeneration, genes estimated to be involved in the metabolism of L-alanine can be mentioned.

L-alanine is known to accelerate liver regeneration (Maezono K et al., Hepatology 24(5), 1996; Japanese Patent Laid-open Publication No. 5-229940). Further, elevation of the L-alanine concentration in human plasma after hepatectomy (Nijveldt R J et al., Liver 21(1): 56-63, 2001), accumulation of L-alanine in rat liver tissue after hepatectomy (Brand H S et al., J. Hepatology, 23, 333-340, 1995) and so forth have been reported. As data supporting these findings, elevation of mRNA level of the amino acid transporter system A (ATA2), which transports L-alanine, was observed in 70% partially hepatectomized rat as a liver regeneration model, as described later (the examples of the present specification). Further, since increase of the L-alanine transporting activity in a similar liver regeneration model has also been observed (Joan-Vicenc et al., FEBS LETTERS, 329(1,2): 189-193, 1993; Freeman T L et al., BBRC, 278, 729-732, 2000), possibility of increase in uptake of L-alanine into hepatocytes during liver regeneration is suggested.

Further, the uptake of [³H]thymidine into DNA is decreased when the Ala transport activity of ATA2 is inhibited by a treatment with MeAIB (nonmetabolizable System A-specific substrate, alpha-(methylamino)isobutyric acid) (Freeman T L et al., Hepatology, 30(2): 437-444, 1999). Therefore, it is suggested that acceleration of liver regeneration is suppressed when transport of L-alanine into hepatocytes is inhibited. This also strongly suggests that ATA2 (Ala) is involved in acceleration of liver regeneration.

Furthermore, in the field of surgical operations, it has been reported from old days that markedly increased energy metabolism is observed in liver under an invasive condition such as hepatectomy, and amino acids represented by L-alanine are supplied primarily as a result of decomposition of myoproteins and used as substrates for gluconeogenesis (Felig P et al., Metabolism, 22, 179-207, 1973) and protein synthesis. As described above, L-alanine is generally considered to supply energy through gluconeogenesis during liver regeneration. In fact, oxidation of L-alanine was suppressed in a liver regeneration model rat at 9 or 18 hours after hepatectomy, and increase in plasma glucose level, accumulation of liver glycogen and enhanced activities of fructose-1,6-diphosphatase and PEPCK have also been reported (Klain G J et al., J. Nutr. Biochem., 1 (November), 578-584, 1990).

Based on the above findings, it was revealed that L-alanine accelerated liver regeneration, and it was hypothesized that its action mechanism is based on the energy supply increased by L-alanine during liver regeneration. Therefore, as shown in the examples described later, expressions of 59 types of rat genes involved in L-alanine metabolism were analyzed during liver regeneration. As a result, changes in expression were observed for 17 types of the genes. Accordingly, when the gene panel of the present invention is produced, genes involved in the L-alanine metabolism may be selected prior to the step (a) mentioned above.

Even for a gene of which expression change is not observed during liver regeneration, expression change may be observed if L-alanine is administered before, during or after liver regeneration as shown in Example 3. Such a gene may also be included in the gene panel. Further, a substance having an action for accelerating liver regeneration (liver regeneration accelerating substance) other than L-alanine may also be administered before, during or after liver regeneration. Examples of the liver regeneration accelerating substance include a mixture of liver extract and flavin adenine dinucleotide (15 μl of liver extract, 10 mg of FAD per 1 ml), liver hydrolysate, saiko-keishito, shosaikoto, diisopropylamine dichloroacetate, placenta hydrolysate, valine (WO 0113912), vascular endothelial growth factor/vascular permeability factor (VEGF/VPF) (WO 0132213), macrolide compounds (JP 3240728), TCF II (JP 10194986), TGF-β release/activation/synthesis inhibitor (JP8333249), glucose-1-phosphate, glucose-6-phosphate (JP2202821), desialated orosomucoid (JP 6122025) and so forth.

The gene panel of the present invention includes at least names of various genes identified as described above and expression profiles of the respective genes. As for the name of genes, the nomenclature for the genes is not particularly limited so long as the genes can be distinguished from one another. Typically, names of products encoded by the genes, accession numbers or gene names used in the database of GenBank etc., probe set names or gene names on a gene chip and so forth are used.

In the present invention, the term “expression profile” means information about change in expression level of each gene included in the gene panel. In a preferred embodiment, the expression level is measured and recorded over time. In the expression profile, expression level of a gene may be represented by an absolute value or relative value.

In a preferred embodiment of the gene panel of the present invention, genes are classified according to the expression levels at certain times after hepatectomy. For example, genes are classified into a group in which the expression levels markedly increase 1 hour and 6 hours after hepatectomy (early stage of liver regeneration) (Groups 1 and 2), a group in which the expression levels conversely decrease at this stage (Groups 6 and 7), a group in which the expression levels markedly increase 24 hours and 48 hours after hepatectomy (mid stage of liver regeneration) (Groups 3 and 4), a group in which the expression levels conversely decrease at this stage (Groups 8 and 9), a group in which the expression levels markedly increase 7 days after hepatectomy (later stage of liver regeneration) (Group 5) and a group in which the expression levels conversely decrease at this stage (Group 10). The expression “markedly” used herein means that the increase or decrease of the expression level is 3 times more compared with the level before hepatectomy in the gene chip method, or that, in the case of the Taqman-PCR (SYBR Green) method, if a difference is observed in a significance test, it is considered that there is a difference of expression.

In an embodiment of the gene panel of the present invention, these groups can be listed in the order of the length of the time for which the expression levels after the increase or decrease of expression are maintained or for which the increase or decrease continues, starting with the longest time as listed in Table 1.

Further, the gene panel preferably includes information about liver weight at a certain time after hepatectomy. For example, liver is extracted at an early stage of liver regeneration (1 hour and 6 hours after hepatectomy), mid stage of liver regeneration (24 hours and 48 hours after hepatectomy) and later stage of liver regeneration (7 days after hepatectomy), and weight of each liver is measured.

The gene panel of the present invention may include sequence information of PCR primers for analyzing expression level of each gene. Examples of the primers include primers comprising all or a part of the oligonucleotides of SEQ ID NOS: 1 to 127 and 135 to 192. Further, in addition to the sequence information of the primers, nucleotide sequence information of adaptors used in the ATAC-PCR method and/or the Taqman PCR (SYBR Green) method may be included. SEQ ID NOS: 1 to 127 represent primers used in the ATAC-PCR method, and SEQ ID NOS: 135 to 192 represent primers used in the Taqman PCR (SYBR Green) method. As for the nucleotide sequences of the adaptors, adaptors having the nucleotide sequence of SEQ ID NOS: 128 to 133 can be mentioned.

<2> Screening Method of the Present Invention

Based on the gene panel of the present invention, various screening tests are enabled by constructing a system for quantitatively or semi-quantitatively measuring expressions of genes included in the gene panel.

For example, screening for a drug involved in liver regeneration can be performed by administering drugs to a model animal or liver tissue or cells and profiling expressions of genes constituting the gene panel of the present invention. That is, a drug that provides gene expression profiles similar to the expression profiles in the gene panel is considered to accelerate liver regeneration.

Further, a liver regeneration accelerating substance can also be screened by screening for a drug that further increases or decreases the increased or decreased expression levels of genes of the gene panel of the present invention. In this case, screening can be performed by paying attention to expression changes of about 6 types of genes. Examples of the screening based on this conception will be shown in the examples described later.

As the aforementioned 6 types of genes, for example, there can be mentioned the genes of Nos. 5 (amino acid transporter system A (ATA2)), 17 (high mobility group protein 2), 36 (nuclear RNA helicase), 46 (liver nuclear protein p47), 67 (leukemia-associated cytosolic phosphoprotein stathmin) and 68 (deoxy-UTPase (dUTPase)) among the 137 types of genes in the gene panel shown in Table 1 ((1) to (11)).

Examples of the method for profiling gene expressions include the DNA microarray and DNA macroarray methods using a slide glass, nylon membrane or the like on which fragments of genes constituting the gene panel are immobilized, the ATAC-PCR method, a method utilizing the Taqman probe, quantitative PCR utilizing SYBR Green and so forth. The expression profiling may be carried out by using a single kind of method or two or more kinds of methods in combination.

Hereafter, a specific example of screening procedure will be described.

As primary screening, cultured hepatocytes are treated with drugs to be screened or the drugs are administered to rats. After a certain time, RNAs are prepared from the cells or liver. The gene expression levels are measured before and after the drug treatment, and drugs that provide expression profiles similar to those in the gene panel are screened. The gene expression patterns in hepatocytes after the drug treatment are grouped, and drugs that provide grouping similar to the grouping in the gene panel are screened. The grouping is performed by classifying the genes according to expression levels at a certain time in the same manner as in the production of the gene panel.

As for culture conditions of hepatocytes, usual culture may be used, or addition of substances that damage hepatocytes such as galactosamine, heavy metal ions or carbon tetrachloride to a medium and so forth may be used. It is expected that substances that accelerate liver regeneration or proliferation of cultured hepatocytes can be screened by culturing cells under the usual condition. Further, it is expected that substances that accelerate recovery of the liver function by liver regeneration after cell damage can be screened by carrying out the culture in the presence of a substance that damages hepatocytes.

As secondary screening, candidate drugs expected to exhibit action for accelerating liver regeneration based on the results of the primary screening are administered to partially hepatectomized rats, and liver is extracted after certain intervals, for example, at an early stage of liver regeneration (1 hour and 6 hours after hepatectomy), mid stage of liver regeneration (24 hours and 48 hours after hepatectomy) and later stage of liver regeneration (7 days after hepatectomy). The liver weights are measured, and RNAs are extracted from the livers to measure changes in gene expression. The obtained data are compared with data of liver weight changes and gene expression changes in partially hepatectomized rats not administered with the drugs to evaluate effect of the drugs on liver regeneration.

The aforementioned screening can also be performed by using laboratory animals other than rats. In this case, it is preferable to newly produce a gene panel for homologues corresponding to the rat genes and perform the screening.

In addition to the screening of drugs that provide expression changes similar to those in the gene panel, the following drug screening can be performed by utilizing the gene panel. The genes that show the changes in the early stage of liver regeneration (for example, Groups 1, 2, 6 and 7 mentioned above) are considered to be important for initiation of liver regeneration. Therefore, it is expected that drugs effective for the initiation of liver regeneration can be obtained by screening for drugs that provide patterns similar to the patterns of these genes of these groups after the treatment with the drugs.

Further, the genes of which expression changes start in the mid stage of liver regeneration (for example, those of Groups 3, 4, 8 and 9 mentioned above) are considered to act on acceleration of proliferation or differentiation of hepatocytes after the initiation of liver regeneration. Therefore, it is expected that drugs that positively act on the acceleration of proliferation or differentiation of hepatocytes can be obtained by screening for drugs that provide patterns similar to the patterns of these genes after the treatment with the drugs.

The genes of which expression changes start in the later stage of liver regeneration (for example, those of Groups 5 and 10 mentioned above) are considered to be important for termination of liver regeneration and normal hepatocyte functions after the completion of regeneration. Therefore, it is expected that drugs that negatively act on the proliferation of hepatocytes or drugs effective for normal hepatocyte functions after the completion of regeneration can be obtained by screening for drugs that provide patterns similar to the patterns of these genes after the treatment with the drugs. The drugs that negatively act on the proliferation of hepatocytes can be used for prevention of excessive proliferation of hepatocytes, and possibility of use thereof as drugs for liver cancer or the like is expected.

As described above, the gene panel of the present invention is considered to be useful also for screening for drugs effective in each stage of liver regeneration (for example, initiation, cellular proliferation, differentiation, termination of cellular proliferation etc.), and it is considered that more effective liver regeneration agents can also be created by using drugs obtained as a result of the above screenings.

L-alanine is known to have liver regeneration effect. However, since L-alanine is easily metabolized and disappears in a living body, sufficient drug efficacy cannot be obtained. Accordingly, drugs are being required which have the same drug efficacy as that of L-alanine and are imparted with better characteristics such as prolonged effect obtained through improved pharmacokinetics. Further, there are substances such as crude drugs, of which drug efficacy is known but amount is insufficient for use as a drug since it is hard to secure their raw material and they act as a mixture of two or more kinds of components. Therefore, substances that have liver regeneration action and can be sufficiently supplied are being required. The present invention enables screening of substances useful as drugs with high sensitivity and high efficiency.

<3> Method for Evaluating Condition of Liver of the Present Invention

The gene panel of the present invention can be used for a system for evaluating whether diseased liver shows progression towards regeneration in liver diseases such as hepatitis and cirrhosis. Further, a drug treatment suitable for each patient can be performed by examining the gene expression change pattern of each patient. For example, a series of drugs that specifically control certain genes (gene group) in the gene panel of the present invention in a positive or negative manner are screened. Then, drugs necessary for liver regeneration can be selected by examining expressions of the genes in the gene panel of each patient with liver disease.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a structure of adaptor.

FIGS. 2 to 4 show relative expression levels of genes involved in L-alanine metabolism, of which expressions change during liver regeneration after administration of L-alanine (relative expression levels based on the expression level of β-actin, which is taken as 1000).

BEST MODE FOR CARRYING OUT THE INVENTION

The present invention will be explained more specifically with reference to the following examples.

EXAMPLE 1

<1> Preparation of Regenerating Liver

Ten week-old F344/DvCrj (Fischer) rats were etherized. The abdomen was incised, and the left lobe and the intermediate lobe of the liver were extruded from the incision. The liver was bound with sutures between the left lobe and the intermediate lobe and between the right lobe and the caudate lobe. The right lobe and the caudate lobe were left in the body, and the left lobe and the intermediate lobe were resected. Then, the incision was closed with a suture. As for the animals which were examined at 0 hour after the excision, suturing was not performed, and the remaining liver was successively extracted. The incision was opened again at 1, 6, 12, 24 and 168 hours after the hepatectomy to extract the remaining liver (regenerating liver). The weight of the remaining livers (right lobe and caudate lobe) was about 30% of the weight of the whole rat liver (right lobe, left lobe, intermediate lobe and caudate lobe).

Three liver regeneration model rats were prepared for each group, and the remaining liver weight at the time of extraction was measured. The weight was 2±0.3 g (1.6 g) 0 hour after the excision, 1.7±0.3 g (1.4 g) 1 hour after the extraction, 2.1±0.5 g (2.1 g) 6 hours after the extraction, 2.5±0.5 g (3.0 g) 24 hours after the extraction, 2.5±0.5 g (2.0 g) 48 hours after the extraction, and 5.6±0.3 g (5.8 g) 7 days after the extraction (the parenthesized numerical values are weights of the regenerating livers used for the measurement using a gene chip described later).

<2> Purification of Total RNA

In a volume of 10 ml of ISOGEN (Nippon Gene) was added to 1 g of rat liver, and the liver was homogenized. The obtained homogenate was centrifuged to collect supernatant. This supernatant was added with 200 μl of chloroform per 1 ml of the added ISOGEN and lightly stirred. The mixture was left at room temperature for 2 minutes and centrifuged at 15000 rpm at 4° C. for 10 minutes, and the aqueous layer was transferred to a new centrifuge tube. This aqueous layer was added with an equivalent volume of 2-propanol, left at room temperature for 5 minutes and centrifuged at 15000 rpm at 4° C. for 15 minutes. The supernatant was discarded, and the precipitated pellet was added with 70% ethanol and centrifuged at 15000 rpm at 4° C. for 15 minutes. The pellet was rinsed by removing the 70% ethanol. The rinsed pellet was dried at room temperature for 5 minutes and added with DEPC (diethyl pyrocarbonate)-treated water to dissolve the pellet. Purification of the total RNA fraction obtained as described above was confirmed by 1% agarose gel electrophoresis.

As described above, total RNA was purified from each of the remaining livers (regenerating liver) at 0, 1, 6, 24, 48 and 168 hours after the partial hepatectomy of rats, and changes in expression levels of various genes were examined by using GeneChip (Affymetrix) and ATAC-PCR.

<3> Gene Expression Analysis by GeneChip

Gene expressions were analyzed by using GeneChip according to the protocol recommended by Affymetrix. The procedure is shown below.

(1) Probe Synthesis

(i) Synthesis of Double-Stranded cDNA

First, double-stranded cDNA was synthesized from the total RNA prepared in <2> by using SUPERSCRIPT Choice System produced by Gibco BRL. In an amount of 15 μg of total RNA and 100 pmol of T7-(dT)₂₄ primer were dissolved in DEPC-treated water to a volume of 11 μl. A reaction was allowed at 70° C. for 10 minutes, and then the reaction mixture was cooled on ice, added with 4 μl of 5×1st strand cDNA buffer (Gibco BRL), 2 μl of 0.1×DTT (dithiothreitol, Gibco BRL) and 1 μl of 10 mM dNTP mix (Gibco BRL) and kept warm at 42° C. for 2 minutes. The reaction mixture was added with 2 μg of reverse transcriptase (Superscript II RT) and allowed to react at 42° C. for 1 hour.

The aforementioned reaction mixture was added with DEPC-treated water, 30 μl of 5×2nd strand reaction buffer, 3 μl of 10 mM dNTP, 1 μl of 10 U/μl DNA ligase, 4 μl of 10 U/μl DNA polymerase I and 2 U/μl of RNase H and allowed to react at 16° C. for 2 hours. Then, the reaction mixture was added with 2 μl of 5 U/μl T4 DNA polymerase and allowed to react at 16° C. for 5 minutes. The reaction mixture was added with 10 μl of 0.5 M EDTA. To this reaction mixture, an equal volume of a solution (phenol:chloroform=1:1) was added, and these were mixed by vertically shaking the tube containing them. This mixture was centrifuged at 15000 rpm at 4° C. for 10 minutes, and the aqueous layer was transferred to a new centrifuge tube. This aqueous layer was added with 1/10 volume of 3 M sodium acetate and 3-fold volume of 100% ethanol and mixed well. The mixture was left at −80° C. for 10 minutes and then centrifuged at 15000 rpm at 4° C. for 10 minutes. The precipitated pellet was rinsed twice with 70% ethanol, dried at room temperature for 5 minutes and then added with 12 μl of DEPC-treated water.

(ii) Synthesis of Biotin-Labeled cRNA Probe

Subsequently, a biotin-labeled cRNA probe was synthesized from the double-stranded cDNA synthesized as described above by using Bio Array High Yield RNA Transcript Labeling Kit produced by Enzo. In a volume of 5 μl of double-stranded cDNA, 17 μl of DEPC-treated water, 4 μl of 10×HY buffer, 4 μl of 10×biotin-labeled ribonucleotide, 4 μl of 10×DTT, 4 μl of 10×RNase inhibitor mix and 2 μl of 20×T7 RNA polymerase were mixed and allowed to react at 37° C. for 4 hours.

Then, unreacted biotin-labeled ribonucleotides were removed from the solution of the biotin-labeled CRNA probe synthesized as described above by using RNeasy produced by Qiagen. The biotin-labeled cRNA probe solution was added with 160 μl of DEPC-treated water, mixed with 700 μl of RLT buffer, then added with 500 μl of 100% ethanol and mixed well. In a volume of 700 μl each of this solution was added to an RNeasy mini spin column and centrifuged at 8000 rpm for 15 seconds. The eluted solution was added to the RNeasy mini spin column again and centrifuged at 8000 rpm for 15 seconds. Subsequently, 500 μl of RPE buffer was added to the RNeasy mini spin column and centrifuged at 8000 rpm for 15 seconds. In a volume of 500 μl of RPE buffer was added to the RNeasy mini spin column again and centrifuged at 15000 rpm for 2 minutes.

The RNeasy mini spin column which was adsorbed with the biotin-labeled cRNA probe and washed as described above was transferred to a new centrifuge tube. In a volume of 30 μl of DEPC-treated water was added to the RNeasy mini spin column and left at room temperature for 1 minute. The mixture was centrifuged at 8000 rpm for 15 seconds to elute a purified biotin-labeled cRNA probe solution.

Subsequently, the purified biotin-labeled CRNA probe solution was fragmented. The biotin-labe led CRNA probe solution and 5× fragmentation buffer (⅕ volume of the final solution volume was added) were mixed to obtain a biotin-labeled cRNA probe concentration of 0.5 μg/μl and allowed to react at 94° C. for 35 minutes. The reaction mixture was subjected to 1% agarose gel electrophoresis to confirm that the probe had been cut into fragments having a length of about 100 bases.

(2) Hybridization

The fragmented biotin-labeled cRNA probe was first evaluated by using a test chip (TEST2 Chip) to confirm that the probe had no problem, and then the objective test of hybridization was performed. Rat chip sets (RG-U34A, RG-U34B, RG-U34C) were used for the objective test. These 3 types of rat chip sets include 7000 types of known rat genes and 17000 types of unknown genes in total. Hybridization was performed by the following procedure for the both cases using the test chip and the rat chip sets.

In an amount of 60 μg of the fragmented biotin-labeled cRNA probe, 12 μl of control oligonucleotide B2 (5 nM), 12 μl 100×control cRNA cocktail, 12 μl of herring sperm DNA (10 mg/ml), 12 μl of acetylated BSA (50 mg/mg) and 600 μl of 2×MES hybridization buffer were added, and the total volume was adjusted to 1200 μl with DEPC-treated water (referred to as “hybridization cocktail” hereinafter). The hybridization cocktail was heated at 99° C. for 5 minutes to cause heat denaturation, left at 45° C. for 5 minutes and centrifuged at 15000 rpm at room temperature for 5 minutes. For hybridization, the supernatant was added in a volume of 80 μl to the test chip (TEST2 Chip) or in a volume of 200 μl to each of the rat chip sets (RG-U34A, RG-U34B, RG-U34C).

The GeneChip was returned to room temperature, and prehybridization was performed with 1×MES buffer (80 μl for the TEST2 chip and 200 μl for the rat chip sets) at 60 rpm at 45° C. for 10 minutes. Subsequently, the prehybridization solution was removed, and the aforementioned heat-denatured hybridization cocktail was added. Hybridization was allowed at 45° C. for 16 hours at 60 rpm.

(3) Washing, Staining and Scanning

The hybridization cocktail was removed from the GeneChip, and a non-stringent wash buffer was added to perform washing and staining by using Fluidic Station (Affymetrix). The washing and staining were performed according to the Mini_euk1 protocol of Fluidic Station for the TEST2 Chip and according to the EukGE-WS2 protocol for the rat chip sets. After the completion of the washing and staining, the chip was scanned with a scanner to obtain image data.

(4) Data Analysis

Data analysis of the hybridization was performed by using GeneChip Analysis Suite. The expression level of each gene was represented by a relative value (average difference) based on the average value of expression levels of all the genes, which was taken as 100 (Table 1, (1) to (11)). In the table, the gene chip probe set names are identification numbers for management corresponding to the genes, which were designated by Affymetrix. UniGene is a database of DNA sequences registered at GenBank compiled according to gene (transcription product) types and species.

The column of 0 hr in the table shows the gene expression levels in rat livers examined at 0 hour after partial hepatectomy. Similarly, the columns of 1 hr, 6 hr, 24 hr, 48 hr and 7d show gene expression levels in rat livers at 1, 6, 24, 48 hours and 7 days, respectively, after partial hepatectomy. The values in the columns of 0 hr/0 hr, 1 hr/0 hr, 6 hr/0 hr, 24 hr/0 hr, 48 hr/0 hr and 7d/0 hr show relative values of gene expression levels at 0, 1, 6, 24, 48 hours and 7 days after partial hepatectomy based on the gene expression level at 0 hour after partial hepatectomy. The second decimal place of a value was rounded off. Further, values of expression levels of 0 or less were assumed as a value of 1 for convenience to obtain the expression ratio.

To produce a gene panel, known genes (genes of which sequence structures including all ORF had been registered in the GenBank database excluding those only of which partial sequences are known such as EST) were used.

For 77 types of known genes, expression levels in regenerating liver markedly increased as compared with the expression levels in normal liver (increased about 3 times or more, shown in boldfaces in Table 1). For 60 types of known genes, expression levels in regenerating liver markedly decreased as compared with the expression levels in normal liver (decreased to about ⅓ or less, shown in italics in Table 1). Among these, 7 types of known genes showed marked expression increases as well as decreases during liver regeneration. That is, marked expression changes (increases or decrease of 3 times or more from the expressions before hepatectomy) were observed during liver regeneration for 137 types of known genes.

TABLE 1 (1)
		Rat UniGene
No.	GeneChip probe set	No.	Gene
1	U17254_g_at	Rn.10000	immediate early gene transcription factor NGFI-B
2	J05460_s_at	Rn.10737	P-450 cholesterol 7-alpha-hydroxylase
3	E01524cds_s_at	Rn.11359	NADPH-cytochrome P450 redutase
4	AF030091UTR#1_g_at	Rn.12962	cyclin ania-6a
5	rc_AI171231_at	Rn.16393	amino acid transporter system A (ATA2)
6	rc_AI070318_at	Rn.17145	connective tissue growth factor
7	M58587_at	Rn.1716	Interleukin 6 receptor
8	AF036335_g_at	Rn.1926	NonO/p54nrb homolog
9	D12769_g_at	Rn.19481	BTE binding protein (same as 105-E9, 126-A2)
10	rc_AI103604_at	Rn.19491	deubiquitinating enzyme Ubp45 (ubp45)
11	rc_AA900505_at	Rn.2042	rhoB
12	rc_AA849767_at	Rn.20670	brain-enriched SH3-domain protein
13	rc_AI137820_at	Rn.22129	CYR61
14	rc_AA849718_g_at	Rn.2648	interferon-inducible protein 16
15	rc_AI101099_at	Rn.2714	Metallothionein2
16	M60921_at	Rn.27923	B-cell translocation gene 2, anti-proliferative (PC3)
17	rc_AI008836_s_at	Rn.2874	high mobility group protein 2
18	S74351_s_at	Rn.31120	protein tyrosine phosphatase (dual specificity
			phosphate)
19	D37920_at	Rn.33239	squalene epoxidase
20	M58634_at	Rn.34026	Insulin-like growth factor binding protein 1
21	rc_AI014163_at	Rn.3723	interferon-related developmental regulator 1 (PC4)
22	AF020618_g_at	Rn.37483	progression elevated gene 3 protein
23	rc_AA900348_s_at	Rn.40138	tip associating protein (TAP)
24	rc_AI072078_at	Rn.42905	protein kinase KID2 (Kid2)
25	X54686cds_at	Rn.44317	pJunB
26	J03190_at	Rn.6274	5-aminolevulinate synthase
27	S77528cds_s_at	Rn.6479	rNFIL-6 = C/EBP-related transcription factor (C/EBP-
			beta)
28	AF023087_s_at	Rn.9096	nerve growth factor induced factor A (Early growth
			response 1)
29	L27843_s_at	Rn.9459	tyrosine phosphatase (PRL-1)
30	L41275cds_s_at	Rn.10089	p21 (WAF1)
31	rc_AI236828_s_at	Rn.10247	Signal transducer and activator of transcription 3
32	X68101_at	Rn.10431	trg
33	M33962_g_at	Rn.11317	Protein-tyrosine phosphatase
34	rc_AI234949_at	Rn.12262	phocein protein
35	S85184_at	Rn.1294	Cyclic Protein-2 = cathepsin L proenzyme
36	AF063447_at	Rn.14550	nuclear RNA helicase
37	M12919mRNA#2_at	Rn.1774	Aldolase A, fructose-bisphosphate
38	L23148_g_at	Rn.2113	Inhibitor of DNA binding 1, helix-loop-helix protein
			(splice variation)
39	U21871_at	Rn.2143	outer mitochondrial membrane receptor rTOM20
40	X16038exon_s_at	Rn.25737	alkaline phosphatase
41	X62952_at	Rn.2710	vimentin
42	M24067_at	Rn.29367	Plasminogen activator inhibitor
43	J02722cds_at	Rn.3160	heme oxygenase
44	X58828_at	Rn.33497	PTP-S mRNA for protein-tyrosine phosphatase
45	D16309_at	Rn.3483	cyclin D3
46	rc_AA892014_s_at	Rn.3516	liver nuclear protein p47
47	U33500_g_at	Rn.37873	retinol dehydrogenase type II
48	J00692_at	Rn.39438	skeletal muscle alpha-actin
49	U75404UTR#1_s_at	Rn.42891	Ssecks 322 (PKC binding protein)
50	U42627_at	Rn.4313	dual-specificity protein tyrosine phosphatase (rVH6)
51	rc_AA997933_at	Rn.43930	Nopp140 associated protein (NAP65)
52	M14369exon#2_at	Rn.44576	K-kininogen, differential splicing leads to HMW Kngk
53	Y14933mRNA_s_at	Rn.48812	hepatocyte nuclear factor 6 beta
54	rc_AA900769_s_at	Rn.6321	smooth muscle alpha-actin
55	rc_AI146033_at	Rn.8459	small zinc finger-like protein (TIM9a)
56	rc_AI176376_s_at	Rn.8925	ATPase Na+/K+ transporting beta 1 polypeptide
57	rc_AI230712_at	Rn.950	Subtilisin - like endoprotease
58	AB000717exons#1-8_s_at	Rn.9855	non-hepatic-type S-adenosylmethionine synthetase
59	M24604_at	Rn.223	proliferating cell nuclear antigen (PCNA/cyclin) mRNA
60	rc_AA860030_s_at	Rn.2458	class I beta-tubulin
61	S80431_s_at	Rn.25716	delta 4-3-ketosteroid 5 beta-reductase
62	J03786_s_at	Rn.2586	Cytochrom P450 15-beta gene
63	rc_AI639082_s_at	Rn.33226	mini chromosome maintenance deficient 6
64	rc_AA818524_at	Rn.36115	hnRNP protein, partial
65	rc_AA998683_g_at	Rn.3841	Rat heat shock protein (Hsp27)
66	M33329_f_at	Rn.40124	hydroxysteroid sulfotransferase a (STa)
67	rc_AI231821_at	Rn.555	Leukemia-associated cytosolic phosphoprotein
			stathmin
68	U64030_at	Rn.6102	dUTPase
69	M22670cds_g_at	Rn.780	alpha-2-macroglobulin
70	D14014_at	Rn.9471	cyclin D1
71	L15079mRNA_s_at	Rn.9679	P-glycoprotein 3/multidrug resistance 2
72	V01227_s_at	Rn.3441	alpha-tubulin
73	M37584_at	Rn.3636	Rat histone (H2A.Z)
74	rc_AA946368_at	Rn.3790	FAT
75	rc_AI230970_f_at	Rn.11229	Hemoglobin, alpha 1
76	rc_AA925864_at	Rn.32702	aldose-reductase-like protein MVDP/AKR1-B7
77	D14989_f_at	Rn.40365	hydroxysteroid sulfotransferase subunit
78	rc_AI234295_at	Rn.16933	type IIb sodium-phosphate transporter
79	rc_AI234100_f_at	Rn.2401	cysteine rich protein
80	M11794cds#2_f_at	Rn.2714	Metallothionein 1(same as 6-E2)
81	J05210_at	Rn.29771	ATP citrate lyase
82	AF089825_at	Rn.30020	activin beta E
83	rc_AA943735_at	Rn.32110	glycine transporter
84	X05684_at	Rn.48821	Pyruvate kinase, liver and RBC
85	rc_AI009273_s_at	Rn.9486	fatty acid synthase
86	M96601_at	Rn.9968	taurine/beta-alanine transporter
87	L16995_at		add1(helix-loop-helix protein associated with adipocyte
			determination and differentiation)
88	X91234_at	Rn.10515	17-beta hydroxysteroid dehydrogenase type 2
89	L37333_s_at	Rn.10992	glucose-6-phosphatase (G6Pase)
90	D43964_at	Rn.11129	bile acid-Coenzyme A dehydrogenase: amino acid n-
			acyltransferase
91	X74593_at	Rn.11334	Sorbitol dehydrogenase
92	rc_AA852046_s_at	Rn.11350	VL30 element (same as 12-C10)
93	rc_AA892553_at	Rn.12592	signal transducer and activator of transcription 1
			(Stat1)
94	rc_AI113166_s_at	Rn.15739	Apolipoprotein C-IV
95	rc_AA818627_at	Rn.16736	ISI1_RAT INSULIN-INDUCED PROTEIN 1
96	AB016800_g_at	Rn.228	7-dehydrocholesterol reductase
97	rc_AI233209_at	Rn.24561	CDK108
98	rc_AA893485_at	Rn.31772	Glu-Pro dipepeptide repeat protein
99	M95591_at	Rn.3252	farnesyl diphosphate farnesyl transferase 1
100	L25785_at	Rn.3545	Transforming growth factor beta stimulated clone 22
101	D17370_at	Rn.3881	cystathionine gamma-lyase
102	AJ011656cds_s_at	Rn.4513	claudin 3
103	rc_AI177004_s_at	Rn.5106	3-hydroxy-3-methylglutaryl-Coenzyme A synthase 1
104	rc_AI172293_at	Rn.7167	RANP-1
105	rc_AA957498_at	Rn.8548	androgen-inducible aldehyde reductase
106	rc_AI232087_at	Rn.10417	(S)-2-hydroxy acid oxidase
107	M18363cds_s_at	Rn.10870	Cytochrome P450, subfamily IIC (mephenytoin 4-
			hydroxylase)
108	J02585_at	Rn.10982	liver stearyl-CoA desaturase
109	rc_AI044610_s_at	Rn.11064	Dopa decarboxylase (aromatic L-amino acid
			decarboxylase)
110	X06150cds_g_at	Rn.11142	glycine methyltransferase
111	J05031_g_at	Rn.147	Isovaleryl Coenzyme A dehydrogenase
112	rc_AA925393_at	Rn.15516	acetyl-coenzyme A carboxylase
113	rc_AA926200_at	Rn.15681	aldehyde oxidase (female form)
114	AF037072_at	Rn.1647	carbonic anhydrase 3
115	rc_AA819899_at	Rn.1829	transcobalamin II precursor (TCII)
116	M22359mRNA_s_at	Rn.1911	plasma proteinase inhibitor alpha-1-inhibitor III
117	K00996mRNA_s_at	Rn.2287	cytochrome p-450e (2b19(Cyp2b15))
118	M59861_at	Rn.2328	10-formyltetrahydrofolate dehydrogenase
119	rc_AI169656_at	Rn.23348	organic anion transporter 3
120	X14552_at	Rn.33965	Caldesmon 1
121	Y07534cds_s_at	Rn.34396	Serine protease inhibitor (cytochrome P451c27/25)
122	J02827_g_at	Rn.3489	Branched chain alpha-ketoacid dehydrogenase subunit
			E1 alpha
123	K03249_at	Rn.3671	peroxisomal enoyl-CoA-hydrotase-3-hydroxyacyl-
			CoA bifunctional enzyme
124	rc_AI639418_at	Rn.42914	type I thyroxine deiodinase
125	U88036_at	Rn.5641	brain digoxin carrier protein
126	X65296cds_s_at	Rn.6066	carboxylesterase (Es-HVEL) (cholesterol esterase)
127	D10354_s_at	Rn.6318	alanine aminotransferase
128	rc_AI144586_at	Rn.8415	evectin-1 (EVT1)
129	M84719_at	Rn.867	flavin-containing monooxygenase 1 (FMO-1)
130	K01934mRNA#2_at	Rn.9854	Thyroid hormone responsive protein (spot14)
131	M77479_at	Rn.9913	Solute carrier family 10 (sodium/bile acid cotransporter
			family), member 1
132	J03863_at	Rn.9918	serine dehydratase (SDH2)
133	L22339_g_at	Rn.9937	N-hydroxy-2-acetylaminofluorene (ST1C1)
134	X79081mRNA_f_at		p450CYP2C11 gene for cytochrome
135	rc_AA945418_at	Rn.23013	sterol 12alpha-hydroxylase P450
136	rc_AI231076_at	Rn.3572	IBP4_RAT INSULIN-LIKE GROWTH FACTOR BINDING
			PROTEIN 4 PRECURSOR
137	U10697_s_at	Rn.10050	kidney microsomal carboxylesterase
	Information
	about primers
	for ATAC-PCR
			Ratio of expression level after hepatectomy to		Used
	Ratio of expression level after		expression level before hepatectomy (0 hr) (ATAC)		restriction
			hepatectomy to expression		Correlation		enzyme
			level before hepatectomy		with		(MboI unless
	GeneChip probe	Gene expression intensity	(0 hr) (GeneChip)		GeneChip	SEQ ID	otherwise
No.	set	0 hr	1 hr	6 hr	24 hr	48 hr	7 d	0 hr	1 hr	6 hr	24 hr	48 hr	7 d	Group	0 hr	1 hr	6 hr	24 hr	48 hr	7 d	data	NO.	specified)
1	U17254_g_at	26	765	112	6	60	32	1	29	4.3	0.2	2.3	1.2	1	1.0	14.9	1.3	1.3	3.2	0.8	0.985	1
2	J05460_s_at	168	1042	1	180	157	636	1	6.2	0	1.1	0.9	3.8	1								2
3	E01524cds_s_at	111	530	596	147	95	124	1	4.8	5.4	1.3	0.9	1.1	1	1.0	6.4	7.1	2.6	2.3	1.8	0.982	3
4	AF030091UTR#1_g_at	39	461	533	171	275	275	1	12	14	4.4	7.1	7.1	1								4
5	rc_AI171231_at	94	966	1330	92	129	218	1	10	14	1	1.4	2.3	1	1.0	11.2	13.1	3.5	1.2	1.8	0.975	5
6	rc_AI070318_at	53	202	437	118	99	88	1	3.8	8.2	2.2	1.9	1.7	1	1.0	4.3	4.1	8.4	3.0	1.3	0.225	6
7	M58587_at	86	343	416	69	94	114	1	4	4.8	0.8	1.1	1.3	1	1.0	1.5	1.5	1.0	0.9	1.3	0.875	7
8	AF036335_g_at	12	36	114	56	54	37	1	3	9.5	4.7	4.5	3.1	1	1.0	140.5	676.2	261.9	258.2	311.3	0.958	8
9	D12769_g_at	189	713	482	118	220	259	1	3.8	2.6	0.6	1.2	1.4	1	1.0	2.2	1.3	0.8	0.4	1.5	0.814	9
10	rc_AI103604_at	166	978	99	279	267	237	1	5.9	0.6	1.7	1.6	1.4	1	1.0	0.3	0.9	1.0	0.9	0.5	−0.787	10
11	rc_AA900505_at	28	222	133	91	193	83	1	7.9	4.8	3.3	6.9	3	1	1.0	4.4	2.0	2.1	4.1	5.0	0.579	11
12	rc_AA849767_at	71	589	328	307	161	145	1	8.3	4.6	4.3	2.3	2	1								12	Nla III
13	rc_AI137820_at	44	244	103	71	91	58	1	5.5	2.3	1.6	2.1	1.3	1								13
14	rc_AA849718_g_at	162	705	612	586	558	964	1	4.4	3.8	3.6	3.4	6	1								14
15	rc_AI101099_at	264	1421	1374	236	137	502	1	5.4	5.2	0.9	0.5	1.9	1								15
16	M60921_at	155	547	566	257	221	270	1	3.5	3.7	1.7	1.4	1.7	1	1.0	18.4	16.8	3.5	4.0	3.8	0.984	16
17	rc_AI008836_s_at	4	40	33	166	245	112	1	10	8.3	42	61	28	1	1.0	0.3	0.2	1.0	1.6	2.2	0.562	17
18	S74351_s_at	159	667	165	69	74	15	1	4.2	1	0.4	0.5	0.1	1	1.0	5.8	1.1	0.3	1.0	3.8	0.730	18
19	D37920_at	17	57	124	36	28	97	1	3.4	7.3	2.1	1.6	5.7	1	1.0	3.7	4.4	4.4	4.0	3.8	0.516	19
20	M58634_at	100	986	924	37	1	241	1	9.9	9.2	0.4	0	2.4	1	1.0	20.9	9.5	1.2	3.6	5.7	0.882	20
21	rc_AI014163_at	10	297	143	27	49	50	1	30	14	2.7	4.9	5	1	1.0	1.7	1.0	0.7	0.6	0.3	0.818	21
22	AF020618_g_at	40	333	60	66	66	25	1	8.3	1.5	1.7	1.7	0.6	1	1.0	1.3	0.9	0.4	0.9	0.4	0.693	22
23	rc_AA900348_s_at	40	286	346	274	243	238	1	7.2	8.7	6.9	6.1	6	1	1.0	5.4	3.4	2.3	5.5	4.9	0.567	23
24	rc_AI072078_at	86	378	122	34	70	70	1	4.4	1.4	0.4	0.8	0.8	1	1.0	7.1	1.4	0.6	0.9	1.0	0.992	24
25	X54686cds_at	52	240	195	21	38	53	1	4.6	3.8	0.4	0.7	1	1								25
26	J03190_at	255	1051	870	377	315	189	1	4.1	3.4	1.5	1.2	0.7	1	1.0	5.6	2.4	1.2	2.2	0.9	0.868	26
27	S77528cds_s_at	143	498	364	181	208	158	1	3.5	2.5	1.3	1.5	1.1	1	1.0	4.4	3.3	1.7	1.9	1.7	0.988	27
28	AF023087_s_at	107	1362	961	187	254	616	1	13	9	1.7	2.4	5.8	1	1.0	1.8	1.8	1.5	2.4	2.4	0.273	28
29	L27843_s_at	226	1061	1033	459	482	324	1	4.7	4.6	2	2.1	1.4	1	1	10.4	10.5	6.1	3.5	26.8	0.023	29
30	L41275cds_s_at	44	18	235	98	126	20	1	0.4	5.3	2.2	2.9	0.5	2								30
31	rc_AI236828_s_at	240	298	1128	249	176	745	1	1.2	4.7	1	0.7	3.1	2								31
32	X68101_at	11	28	49	69	117	55	1	2.5	4.5	6.3	11	5	2								32
33	M33962_g_at	128	166	471	154	139	138	1	1.3	3.7	1.2	1.1	1.1	2								33
34	rc_AI234949_at	42	44	322	79	85	33	1	1	7.7	1.9	2	0.8	2	1.0	1.7	2.7	1.9	0.5	0.6	0.751	34
35	S85184_at	92	221	393	144	132	125	1	2.4	4.3	1.6	1.4	1.4	2	1.0	2.3	4.1	3.1	1.6	3.4	0.691	35
36	AF063447_at	22	22	70	124	118	73	1	1	3.2	5.6	5.4	3.3	2	1.0	3.2	2.2	3.1	1.8	1.1	0.154	36
37	M12919mRNA#2_at	79	97	359	185	151	84	1	1.2	4.5	2.3	1.9	1.1	2								37
38	L23148_g_at	19	44	134	153	79	49	1	2.3	7.1	8.1	4.2	2.6	2	1.0	2.6	5.3	3.7	4.5	1.0	0.781	38
39	U21871_at	195	265	768	432	502	338	1	1.4	3.9	2.2	2.6	1.7	2								39
40	X16038exon_s_at	31	51	354	75	49	51	1	1.6	11	2.4	1.6	1.6	2								40
41	X62952_at	29	58	95	176	189	93	1	2	3.3	6.1	6.5	3.2	2	1.0	3.7	9.4	7.9	10.7	8.1	0.808	41
42	M24067_at	31	69	210	59	48	45	1	2.2	6.8	1.9	1.5	1.5	2								42
43	J02722cds_at	18	31	762	57	36	57	1	1.7	42	3.2	2	3.2	2	1.0	0.6	4.2	2.2	1.9	0.8	0.887	43
44	X58828_at	7	12	124	19	58	22	1	1.7	18	2.7	8.3	3.1	2								44
45	D16309_at	32	32	180	95	79	48	1	1	5.6	3	2.5	1.5	2								45
46	rc_AA892014_s_at	43	58	233	110	185	137	1	1.3	5.4	2.6	4.3	3.2	2								46
47	U33500_g_at	107	286	374	125	124	14	1	2.7	3.5	1.2	1.2	0.1	2	1.0	1.9	6.0	1.0	1.0	1.2	0.822	47
48	J00692_at	9	7	154	9	4	11	1	0.8	17	1	0.4	1.2	2								48
49	U75404UTR#1_s_at	23	31	141	36	38	28	1	1.3	6.1	1.6	1.7	1.2	2								49	Bfa I
50	U42627_at	25	51	103	63	104	45	1	2	4.1	2.5	4.2	1.8	2	1.0	2.0	2.8	1.7	3.8	6.1	0.219	50
51	rc_AA997933_at	73	52	592	214	178	163	1	0.7	8.1	2.9	2.4	2.2	2								51
52	M14369exon#2_at	39	40	385	17	34	105	1	1	9.9	0.4	0.9	2.7	2
53	Y14933mRNA_s_at	19	9	184	27	190	131	1	0.5	9.7	1.4	10	6.9	2	1	1.8	3.5	1.3	1.7	2.1	0.662	52
54	rc_AA900769_s_at	22	12	80	122	176	34	1	0.5	3.6	5.5	8	1.5	2	1.0	0.9	6.0	4.0	6.0	2.6	0.829	53
55	rc_AI146033_at	159	151	701	281	281	180	1	0.9	4.4	1.8	1.8	1.1	2								54	Hpa II
56	rc_AI176376_s_at	144	343	1274	335	283	147	1	2.4	8.8	2.3	2	1	2								55
57	rc_AI230712_at	29	26	169	9	27	25	1	0.9	5.8	0.3	0.9	0.9	2								56
58	AB000717exons#1-8_s_at	16	34	114	48	47	40	1	2.1	7.1	3	2.9	2.5	2
59	M24604_at	118	184	257	820	442	224	1	1.6	2.2	6.9	3.7	1.9	3
60	rc_AA860030_s_at	193	216	236	1119	699	463	1	1.1	1.2	5.8	3.6	2.4	3								57
61	S80431_s_at	36	66	17	285	356	208	1	1.8	0.5	7.9	9.9	5.8	3								58	Bfa I
62	J03786_s_at	84	183	162	416	555	170	1	2.2	1.9	5	6.6	2	3	1.0	3.5	5.8	6.6	12.3	7.2	0.841	59
63	rc_AI639082_s_at	41	36	27	191	100	76	1	0.9	0.7	4.7	2.4	1.9	3	1.0	0.7	1.1	0.7	3.0	2.7	0.027	60
64	rc_AA818524_at	21	26	57	234	197	267	1	1.2	2.7	11	9.4	13	3	1.0	1.7	1.9	2.6	2.5	4.7	0.852	61
65	rc_AA998683_g_at	73	181	65	394	259	37	1	2.5	0.9	5.4	3.5	0.5	3	1.0	0.9	0.7	1.7	3.9	1.2	0.516	62
66	M33329_f_at	180	406	134	633	633	896	1	2.3	0.7	3.5	3.5	5	3	1.0	1.5	0.4	0.9	1.3	2.6	0.795	63
67	rc_AI231821_at	37	56	13	227	385	179	1	1.5	0.4	6.1	10	4.8	3	1.0	1.4	0.4	4.6	1.1	0.7	0.308	64
68	U64030_at	29	38	28	207	233	97	1	1.3	1	7.1	8	3.3	3	1	0.4	0.3	0.9	0.6	0.4	0.270	65
69	M22670cds_g_at	64	71	105	210	54	47	1	1.1	1.6	3.3	0.8	0.7	3								66	Nla III
70	D14014_at	180	189	79	713	553	261	1	1.1	0.4	4	3.1	1.5	3	1.0	1.6	2.5	1.5	3.9	0.8	0.258	67
71	L15079mRNA_s_at	129	144	69	513	486	184	1	1.1	0.5	4	3.8	1.4	3	1	2.3	1.1	3.5	1.9	1.4	0.740	68
72	V01227_s_at	48	59	79	135	156	97	1	1.2	1.6	2.8	3.3	2	4								69
73	M37584_at	173	156	162	447	693	450	1	0.9	0.9	2.6	4	2.6	4								70	Bfa I
74	rc_AA946368_at	34	45	79	86	157	191	1	1.3	2.3	2.5	4.6	5.6	4								71
75	rc_AI230970_f_at	462	1181	856	1227	1031	1606	1	2.6	1.9	2.7	2.2	3.5	5	1.0	1.4	1.1	0.9	0.7	2.6	0.678	72
76	rc_AA925864_at	22	4	50	55	64	358	1	0.2	2.3	2.5	2.9	16	5	1.0	1.4	1.5	2.7	3.3	2.7	0.458	73
77	D14989_f_at	147	296	101	414	334	586	1	2	0.7	2.8	2.3	4	5								74	Nla III
78	rc_AI234295_at	180	44	18	282	500	226	1	0.2	0.1	1.6	2.8	1.3	6								75
79	rc_AI234100_f_at	240	68	17	148	256	237	1	0.3	0.1	0.6	1.1	1	6	1.0	2.6	2.8	0.8	0.8	0.9	−0.883	76
80	M11794cds#2_f_at	1181	289	1	902	593	912	1	0.2	0	0.8	0.5	0.8	6	1.0	5.3	19.8	2.6	1.2	3.9	−0.775	77
81	J05210_at	533	124	112	61	110	446	1	0.2	0.2	0.1	0.2	0.8	6	1.0	0.9	0.1	0.4	0.1	0.1	0.314	78
82	AF089825_at	246	39	52	36	63	47	1	0.2	0.2	0.1	0.3	0.2	6								79
83	rc_AA943735_at	643	167	20	1	11	38	1	0.3	0	0	0	0.1	6
84	X05684_at	214	35	107	24	22	100	1	0.2	0.5	0.1	0.1	0.5	6								80
85	rc_AI009273_s_at	1721	369	513	313	262	2000	1	0.2	0.3	0.2	0.2	1.2	6	1.0	1.3	0.7	0.4	0.9	3.1	0.736	81
86	M96601_at	168	23	23	91	200	55	1	0.1	0.1	0.5	1.2	0.3	6	1	1.9	0.6	1.0	0.3	0.7	−0.459	82
87	L16995_at	386	111	51	25	174	217	1	0.3	0.1	0.1	0.5	0.6	6								83
88	X91234_at	464	887	1	1	22	406	1	1.9	0	0	0	0.9	7	1.0	2.5	0.1	0.1	0.0	0.1	0.892	84
89	L37333_s_at	674	592	102	229	162	577	1	0.9	0.2	0.3	0.2	0.9	7	1.0	2.0	0.4	0.3	0.4	0.4	0.609	85
90	D43964_at	966	832	218	749	699	707	1	0.9	0.2	0.8	0.7	0.7	7								86	Bfa I
91	X74593_at	759	688	176	428	462	526	1	0.9	0.2	0.6	0.6	0.7	7	1.0	0.7	0.9	0.3	1.8	2.6	0.013	87
92	rc_AA852046_s_at	1524	1401	336	1430	1187	1292	1	0.9	0.2	0.9	0.8	0.8	7								88
93	rc_AA892553_at	55	58	1	17	143	58	1	1.1	0	0.3	2.6	1.1	7								89	Nla III
94	rc_AI113166_s_at	1549	941	480	436	177	283	1	0.6	0.3	0.3	0.1	0.2	7	1.0	1.7	1.2	0.5	0.4	0.7	0.517	90
95	rc_AA818627_at	743	472	203	688	565	252	1	0.6	0.3	0.9	0.8	0.3	7	1.0	0.8	0.5	0.9	0.4	0.4	0.708	91
96	AB016800_g_at	340	175	55	279	214	319	1	0.5	0.2	0.8	0.6	0.9	7	1.0	1.1	0.6	1.6	1.6	3.6	0.529	92
97	rc_AI233209_at	138	142	43	33	82	15	1	1	0.3	0.2	0.6	0.1	7								93
98	rc_AA893485_at	179	159	12	59	117	110	1	0.9	0.1	0.3	0.7	0.6	7								94
99	M95591_at	155	102	1	16	77	235	1	0.7	0	0.1	0.5	1.5	7								95
100	L25785_at	801	559	112	344	264	356	1	0.7	0.1	0.4	0.3	0.4	7								96
101	D17370_at	742	559	182	861	844	1039	1	0.8	0.2	1.2	1.1	1.4	7
102	AJ011656cds_s_at	262	389	53	406	354	266	1	1.5	0.2	1.5	1.4	1	7
103	rc_AI177004_s_at	172	164	21	92	134	280	1	1	0.1	0.5	0.8	1.6	7	1.0	1.4	0.3	1.7	0.4	1.9	0.649	97
104	rc_AI172293_at	284	286	85	192	182	491	1	1	0.3	0.7	0.6	1.7	7	1.0	1.3	0.2	1.2	0.5	1.3	0.788	98
105	rc_AA957498_at	249	154	1	65	72	46	1	0.6	0	0.3	0.3	0.2	7								99
106	rc_AI232087_at	1152	1002	557	344	570	264	1	0.9	0.5	0.3	0.5	0.2	8								100
107	M18363cds_s_at	1447	1228	1113	358	599	342	1	0.8	0.8	0.2	0.4	0.2	8	1.0	1.4	1.0	0.1	0.2	1.6	0.326	101
108	J02585_at	1386	899	1001	165	357	1453	1	0.6	0.7	0.1	0.3	1	8								102	Nla III
109	rc_AI044610_s_at	482	447	294	100	389	357	1	0.9	0.6	0.2	0.8	0.7	8	1.0	1.3	0.9	0.1	1.4	1.3	0.828	103
110	X06150cds_g_at	1605	1313	1180	511	972	1203	1	0.8	0.7	0.3	0.6	0.7	8	1.0	1.4	2.9	0.8	2.1	1.8	0.079	104
111	J05031_g_at	470	428	366	115	179	233	1	0.9	0.8	0.2	0.4	0.5	8	1.0	1.6	1.1	0.6	1.0	1.5	0.499	105
112	rc_AA925393_at	966	386	1465	162	311	860	1	0.4	1.5	0.2	0.3	0.9	8								106
113	rc_AA926200_at	1060	1588	602	120	684	983	1	1.5	0.6	0.1	0.6	0.9	8	1.1	1.4	0.9	0.4	1.8	2.9	0.370	107
114	AF037072_at	909	787	627	91	148	140	1	0.9	0.7	0.1	0.2	0.2	8	1.0	1.1	0.6	0.0	0.4	0.8	0.822	108
115	rc_AA819899_at	340	268	236	104	73	152	1	0.8	0.7	0.3	0.2	0.4	8	1.0	2.3	1.4	1.1	1.0	1.1	0.407	109
116	M22359mRNA_s_at	481	724	375	149	99	247	1	1.5	0.8	0.3	0.2	0.5	8	1.0	1.6	1.1	0.3	0.2	1.8	0.629	110
117	K00996mRNA_s_at	935	796	522	215	299	511	1	0.9	0.6	0.2	0.3	0.5	8	1.0	1.6	6.7	3.0	3.4	5.3	−0.433	111
118	M59861_at	611	565	311	178	283	425	1	0.9	0.5	0.3	0.5	0.7	8	1.0	1.7	1.0	0.3	1.1	1.9	0.582	112
119	rc_AI169656_at	1437	1303	786	482	485	61	1	0.9	0.5	0.3	0.3	0	8								113
120	X14552_at	151	271	100	52	108	14	1	1.8	0.7	0.3	0.7	0.1	8								114
121	Y07534cds_s_at	659	571	535	186	224	546	1	0.9	0.8	0.3	0.3	0.8	8	1.0	3.4	2.0	0.6	1.4	3.5	0.497	115
122	J02827_g_at	234	212	171	20	144	132	1	0.9	0.7	0.1	0.6	0.6	8	1.0	1.1	1.2	0.5	1.0	2.3	0.262	116
123	K03249_at	242	295	142	40	137	187	1	1.2	0.6	0.2	0.6	0.8	8								117
124	rc_AI639418_at	731	553	426	110	182	165	1	0.8	0.6	0.2	0.2	0.2	8	1.0	1.4	0.4	0.6	0.1	0.8	0.623	118
125	U88036_at	674	819	553	123	642	568	1	1.2	0.8	0.2	1	0.8	8	1.0	1.1	0.8	0.1	0.4	0.7	0.805	119
126	X65296cds_s_at	1046	1004	783	158	74	216	1	1	0.7	0.2	0.1	0.2	8								120
127	D10354_s_at	640	497	366	103	274	131	1	0.8	0.6	0.2	0.4	0.2	8	1	1.4	1.1	0.6	0.7	0.6	0.789	121
128	rc_AI144586_at	459	344	213	132	148	176	1	0.7	0.5	0.3	0.3	0.4	8								122
129	M84719_at	295	728	182	37	80	63	1	2.5	0.6	0.1	0.3	0.2	8	1.0	2.7	0.7	0.3	0.4	1.0	0.954	123
130	K01934mRNA#2_at	1125	982	837	124	212	1065	1	0.9	0.7	0.1	0.2	0.9	8
131	M77479_at	1124	1103	738	355	661	705	1	1	0.7	0.3	0.6	0.6	8	1.0	1.9	1.0	0.6	1.1	2.0	0.442	124
132	J03863_at	396	960	907	19	197	594	1	2.4	2.3	0	0.5	1.5	8	1	5.5	4.7	0.5	0.9	1.2	0.902	125
133	L22339_g_at	1630	1305	1339	395	925	1263	1	0.8	0.8	0.2	0.6	0.8	8	1	1.2	0.8	0.1	0.3	0.2	0.709	126
134	X79081mRNA_f_at	588	587	401	53	74	63	1	1	0.7	0.1	0.1	0.1	8
135	rc_AA945418_at	3397	2633	2290	2194	699	1135	1	0.8	0.7	0.6	0.2	0.3	9
136	rc_AI231076_at	675	789	891	510	144	529	1	1.2	1.3	0.8	0.2	0.8	9
137	U10697_s_at	996	984	685	497	541	311	1	1	0.7	0.5	0.5	0.3	10								127
Correlation coefficient >= 0.7	34.000	45%
Correlation coefficient >= 0.5	50.000	67%
Number of genes measured by	75.000
ATAC-PCR

<4> Gene Expression Analysis by ATAC-PCR

ATAC-PCR is a technique developed by Kato et al. (Kato, K et al., Nucl. Acids Res., 25, 4694-4696, 1997) and based on competitive RT-PCR using fluorescent primers. Quantitative expression analysis of a large number of genes can be conveniently carried out by ATAC-PCR. The experimental procedure of the ATAC-PCR method was according to the method of Kato et al. (Kato, K et al., Nucl. Acids Res., 25, 4694-4696, 1997).

First, double-stranded DNA was synthesized from cDNA synthesized by using a 5′ biotinylated oligo dT primer and digested with a particular restriction enzyme (example utilizing MboI is explained herein). Subsequently, an adaptor having the same end sequence as that of the site digested with the restriction enzyme (6 types having different lengths were prepared) and the double-stranded DNA digested with the restriction enzyme MboI were ligated with DNA ligase. Among the 6 types of adaptors, 3 types were ligated to control cDNA (cDNA prepared from rat liver before hepatectomy) and mixed at a ratio of 10:3:1. The remaining 3 types of adaptors were ligated with cDNA prepared from the rat liver at 1, 6, 24, 48 hours and 7 days after the hepatectomy.

The ligation reaction products were mixed, 3′ fragments of the double-stranded cDNA were recovered by using streptavidin-coated beads, and competitive RT-PCR was performed by using primers having a sequence common to all of the adaptors. The PCR products were analyzed by using ABI PRISM 3700 DNA Analyzer. This apparatus can separate fragments at each length by capillary electrophoresis and detect fluorescence intensity proportional to each expression level.

A calibration curve was prepared from fluorescence intensity of the PCR products obtained from the control, and gene expression change amounts in resected liver to be measured were calculated by using the calibration curve.

The nucleotide sequences of the used adaptors are shown below.

(Adaptor 1, SEQ ID NO: 128)
5′ -GTACATATTGTCGTTAGAACGCG-3′
3′ -CATGTATAACAGCAATCTTGCGCCTAG-5′
(Adaptor 2, SEQ ID NO: 129)
5′ -GTACATATTGTCGTTAGAACGCGACT-3′
3′ -CATGTATAACAGCAATCTTGCGCTGACTAG-5′
(Adaptor 3, SEQ ID NO: 130)
5′ -GTACATATTGTCGTTAGAACGCGCATACT-3′
3′ -CATGTATAACAGCAATCTTGCGCGTATGACTAG-5′
(Adaptor 4, SEQ ID NO: 131)
5′ -GTACATATTGTCGTTAGAACGCGATCCATACT-3′
3′ -CATGTATAACAGCAATCTTGCGCTAGGTATGACTAG 5′
(Adaptor 5, SEQ ID NO: 132)
5′ -GTACATATTGTCGTTAGAACGCGTCAATCCATACT-3′
3′ -CATGTATAACAGCAATCTTGCGCAGTTAGGTATGACTAG-5′
(Adaptor 6, SEQ ID NO: 133)
5′ -GTACATATTGTCGTTAGAACGCGTACTCAATCCATACT-3′
3′ -CATGTATAACAGCAATCTTGCGCATGAGTTAGGTATGACTAG-5′

As for the primer set used for the competitive PCR, the primer having the following nucleotide sequence was commonly used for the adaptor-side of all genes, and the sequences shown in Table 1 and Sequence Listing (shown in a direction from 5′ to 3′) were used as gene-specific primers.

(Adaptor-side primer)
5′ -GTACATATTGTCGTTAGAACGC-3′ (SEQ ID NO: 134)

For the genes of which expression changes were examined by ATAC-PCR using restriction enzymes other than MboI, names of the used restriction enzymes are shown in Table 1. Further, in such cases, adaptor sequences having an end sequence different from that used for MboI were used. FIG. 1 shows sequences of the different portions (boldfaces).

<5> Application of Gene Panel to Screening for Candidate Liver Regeneration Accelerating Substance

An experiment was performed to demonstrate that the gene panel of the present invention was effective for screening for liver regeneration accelerating substances.

L-alanine is known to have effect of accelerating liver regeneration (Maezono K et al., Hepatology 24(5), 1996, Effect of Alanine on D-Galactosamine-Induced Acute Liver Failure in Rats; Japanese Patent Laid-open Publication No. 5-229940). Therefore, rats were subjected to partial hepatectomy and orally administered with L-alanine at 18 and 21 hours after the hepatectomy, and then gene expressions at 24 hours after the hepatectomy were examined.

Five 6 week-old F344 male rats (120 g) were preliminarily fed for 6 days by giving feed CRF-1 (Oriental Yeast) and water and then divided into 2 groups (Group 1 and Group 2) each consisting of rats with the same body weight. At 24 hours before dissection, 70% partial hepatectomy was performed by the method by Higgins-Anderson (Higgins, G M and Anderson, R M, Arch. Pathol. 12, 186-191, 1931). On the day of autopsy, the rats were starved for 6 hours before dissection. At 6 and 3 hours before dissection, 2 g/10 ml/kg of L-alanine was orally administered as an aqueous solution containing 0.3% aqueous carboxymethylcellulose (CMC).

After the rats were killed by bleeding under anesthesia, the dissection was performed. Liver was extracted, weighed, cryopreserved, and then subjected to the mRNA expression measurement by the ATAC-PCR method. Further, liver samples were prepared to measure the liver proliferating cell nucleus antigen (PCNA) levels.

Gene expressions in rat liver in each group were measured by ATAC-PCR. The preparation of RNA and ATAC-PCR were performed as described above. In ATAC-PCR, among the genes in the gene panel, 117 types of which expression could be measured by ATAC-PCR using the restriction enzyme MboI were measured (those except for Nos. 12, 49, 52, 55, 58, 59, 61, 69, 73, 77, 83, 90, 93, 101, 102, 108, 130, 134, 135 and 136 mentioned in Table 1).

Further, the livers of rats administered with L-alanine were stained by using anti-PCNA antibodies (antibodies directed to proliferating cell nuclear antigen (PCNA), a replication factor that accelerates activity of DNA polymerase ä), and the PCNA labeling index was measured by the method of Tanaka et al. (Tanaka et al., Byori to Rinsho, 9 (6): 791-798, 1991).

The measurement results of the PCNA labeling index are shown in Table 2. Due to the L-alanine administration, the PCNA labeling index in the livers elevated as compared with the livers of the non-administered rats (Table 2). In Table 2, Ala+represents the L-alanine-administered group, and Ala-represents the L-alanine non-administered group. Thus, hepatocytes proliferation accelerating effect due to the L-alanine administration was observed.

	TABLE 2
	PCNA	PCNA
	positive	Negative	Labeling
	cells	cells	Index (%)
	1-1	4	570	0.7%
	1-2	5	578	0.9%
	1-3	2	658	0.3%
	Mean			0.6%
	SD			0.3%
	2-1	468	247	65.5%
	2-2	426	240	64.0%
	Mean			64.7%
	SD			1.1%
	1-1 to 1-3: Group 1
	2-1, 2-2: Group 1

Further, the gene expressions in Groups 1 and 2 were measured by ATAC-PCR for the genes of the gene panel and compared. The expression levels were obtained as relative values of Group 1 based on the values of Group 1 (Ala+/Ala− in Table 3). As a result, there were found 7 types of genes which showed 3 times or more of expression difference between the L-alanine-administered group and L-alanine non-administered group (Table 3).

TABLE 3
Number Ala+, 24 hr/Ala−, 24 hr
5      4.8
17     5.5
36     4.6
46     4.4
67     4.2
68     3.5
117    3.2

Subsequently, to compare expression changes of the genes in the gene panel and gene expression changes due to the L-alanine administration, the ratios of expressions of the genes in Group 2 to expressions of the genes in the gene panel at 0 hour after the hepatectomy were calculated. The results are shown in Table 4. In Table 4, 1 hr, 6 hr, 24 hr, 48 hr and 7d represent relative expression values in the remaining livers based on the gene expression in the liver before the hepatectomy at 1, 6, 24, 48 hours and 7 days after the hepatectomy, respectively. When the expression values of Ala− at 24 hr and Ala+ at 24 hr are compared, marked differences (3 times or more) in the expression levels were observed in both of Groups 1 and 2 for 7 types (Nos. 5, 17, 36, 46, 67, 68 and 117) among the genes in the gene panel (Table 4). Among these, the results of 5 types (Nos. 17, 36, 46, 67 and 68) corelated with the results of the genes in the gene panel. That is, for the genes in the gene panel which showed expression increases from the levels before the hepatectomy at 24 hours, expressions exceeding the increased expressions were observed due to the L-alanine administration. On the contrary, for the genes in the gene panel which showed expression decreases from the levels before hepatectomy at 24 hours, the expressions less than the decreased expressions were observed due to the L-alanine administration.

For the remaining 2 types (Nos. 5 and 117) other than the above, the genes of the gene panel did not show increased or decreased expression change due to the L-alanine administration at 24 hours. However, for No. 5, expression increase was observed due to the L-alanine administration at the maximum expression times (6 hr and 1 hr). As a result, it can be construed that expressions higher than the expressions of the genes in the gene panel were maintained at 24 hours. On the other hand, since No. 117 showed decreased change (decrease of expression) with the L-alanine administration compared with that observed without L-alanine administration at 24 hours, it is determined that it is not suitable for use in screening for candidate liver regeneration accelerating substance.

	TABLE 4
	Ala−	Ala+
Number	1 hr	6 hr	24 hr	48 hr	7 d	24 hr
5	10.3	14.1	1	1.4	2.3	4.8
17	10	8.3	41.5	61.3	28	228.3
36	1	3.2	5.6	5.4	3.3	25.8
46	1.3	5.4	2.6	4.3	3.2	11.4
67	1.5	0.4	6.1	10.4	4.8	25.6
68	1.3	1	7.1	8	3.3	24.9
117	0.9	0.6	0.2	0.3	0.5	0.6

Based on the above results, it can be considered that, in screening utilizing the gene panel of the present invention, if a substance provides marked expression changes (3 times or more) of about 6 genes and the changes corelate to those in the gene panel (genes showing expression increase in the gene panel show further expression increases, and genes showing expression decrease in the gene panel show further expression decreases), such a substance can be selected as a candidate liver regeneration accelerating substance.

EXAMPLE 2

Expression Analysis of Genes Involved in L-alanine Metabolism During Liver Regeneration by Tagman PCR (SYBR Green)

In the same manner as in the above <1> and <2>, total RNA was purified from the remaining livers (regenerating livers) at 0, 1, 6, 24, 48 and 168 hours after the partial hepatectomy of rats, and changes in expression levels of various genes were examined by using the Taqman PCR (SYBR Green) method.

(1) Preparation of Template

The synthesis of template cDNA used for Taqman PCR (SYBR Green) was performed by using SuperScript First-Strand Synthesis System for RT-PCR (GIBCO BRL). In an amount of 500 ng of total RNA, 1 μl of 0.5 μg/μl Oligo (dT)_12-18 and 1 μl of 10 mM dNTP mix were dissolved in DEPC-treated water to obtain a total volume of 10 μl. A reaction was allowed at 65° C. for 5 minutes, and the reaction mixture was cooled on ice, added and mixed with 2 μl of 10×RT buffer, 4 μl of 25 mM MgCl₂, 2 μl of 0.1 M DTT and 1 μl of RNase Inhibitor, and kept warm at 42° C. for 2 minutes. The reaction mixture was added with 1 μl (50 units) of reverse transcriptase (Superscript II RT), and a reaction was allowed at 42° C. for 50 minutes and further at 70° C. for 15 minutes.

(2) Selection of Candidate Gene and Design of Primer

The expression profiles of the genes involved in L-alanine metabolism during liver regeneration were examined. To exhaustively extract rat genes involved in L-alanine metabolism, the external database UniGene (http://www.ncbi.nlm.nih.gov/UniGene) was searched with keywords related to amino acid transporters, TCA cycle, respiratory chain and various carriers, and 59 types of genes of which sequences were known or for which primers could be designed were retrieved. Among these, 42 types were among the genes analyzed by using GeneChip in Example 1.

The primers used in Taqman PCR (SYBR Green) were designed by using the external database Primer3 (http://www-genome.wi.mit.edu/cgi-bin/primer/primer3_www.cgi). The names and Unigene Nos. of the genes and the nucleotide sequences of their primers are shown in Table 6. The table includes only the genes of which expression changes were observed as a result of the analysis by Taqman PCR (SYBR Green).

(3) Taqman PCR (SYBR Green)

Taqman PCR (SYBR Green) was performed by the SYBR Green method (Schmittgen T D et al., Analytical Biochem., 285, 194-204, 2000). Specifically, the reaction was performed as follows. A reaction mixture having the composition shown in Table 5 was mixed in a PCR tube for Taqman, and PCR was performed by using ABI 7700 Prism Sequence Detector (ABI). The rection was performed with a cycle consisting of reactions at 50° C. for 2 minutes and at 95° C. for 10 minutes followed by reactions at 95° C. for 15 seconds and at 60° C. for 1 minute, which was repeated 40 times.

TABLE 5
Composition of PCR reaction mixture (per tube)
	Template cDNA (corresponding to	0.1	μl
	2.5 ng of total RNA)
	5 units/μl AmpliTaq Gold	0.05	μl
	dNTP mix (2.5 mM each)	0.8	μl
	25 mM MgCl2	1.2	μl
	10 × SYBR buffer	1	μl
	Primer solution (forward)	1	μl
	Primer solution (reverse)	1	μl
	Distilled water
	Total:	10	μl

(3) Data Analysis

All the Taqman PCR (SYBR Green) reactions were performed in duplicate, and the cycle threshold (CT) was calculated. The expression level at CT=30 was defined as 1, and a relative expression level was obtained according to the following equation. “CT sample” represents CT of a gene measured. Relative expression level=2^{(30−CT sample)}

Further, a relative value of the expression level of each gene was obtained based on the relative expression level of β-actin, which was taken as 1000. The results of the genes of which expressions changed in regenerating livers compared with those in normal liver are shown in Table 6. It is noted that, among the genes which showed expression change in regenerating livers in Example 1, expression changes were not reproduced for the genes of Nos. 81 (Rn.29771) and 131 (Rn.9913) mentioned in Table 1.

	TABLE 6
			Primer	Ratio of expression level after
			sequence (SEQ	hepatectomy to expression level before
	Unigene		ID NO.)	hepatectomy (0 hr)
No.	No. (Rn.)	Gene	5′ end	3′ end	0 hr	1 hr	6 hr	24 hr	48 hr	7 d
138	32067	Transporter protein; system N1 Na+ and H+-coupled	135	136	1.00	0.96	0.60	0.60	0.37	0.86
		glutamine transporter
139	53981	Acetyl-CoA transporter	137	138	1.00	0.95	0.39	0.04	0.29	0.82
140	54434	Organic cation transporter OCTN1	139	140	1.00	0.98	0.04	0.07	0.13	0.58
141	14539	RAT BILE SALT EXPORT PUMP (ATP-BINDING CASSETTE,	141	142	1.00	0.95	0.55	0.34	0.58	0.79
		SUB-FAMILY B
142	29977	MRP3 RAT CANALICULAR MULTISPECIFIC ORGANIC ANION	143	144	1.00	0.70	1.25	1.30	3.78	0.70
		TRANSPORTER 2
143	10240	Solute carrier family 1, member 2	145	146	1.00	2.74	0.45	0.17	0.60	1.51
144	23204	Rattus norvegicus mRNA for LRp105, complete cds	147	148	1.00	1.62	0.88	0.24	0.32	1.01
145	11094	Pyruvate carboxylase	149	150	1.00	1.14	0.40	0.11	0.36	0.78
146	11363	Pyruvate dehydrogenase kinase 2 subunit p45 (PDK2)	151	152	1.00	1.07	0.50	0.20	0.31	0.98
147	3766	Rat mitochondrial succinyl-CoA synthetase alpha subunit	153	154	1.00	1.03	0.74	0.57	0.98	0.78
		(cytoplasmic precursor) mRNA, complete cds
148	3628	Glutamate oxaloacetate transaminase 2, mitochondrial	155	156	1.00	0.75	0.63	0.48	0.68	0.83
		(aspartate aminotransferase 2)
149	6085	Solute carrier 16 (monocarboxylic acid transporter), member 1	157	158	1.00	0.46	1.50	0.84	0.93	0.72
150	8368	Solute carrier family 25 (mitochondrial carrier; citrate	159	160	1.00	0.55	0.40	0.57	0.60	0.85
		transporter) member 1
151	5819	Glutamic-oxaloacetic transaminase 1, soluble (aspartate	161	162	1.00	3.18	11.32	1.40	0.69	1.33
		aminotransferase, cytosolic) see also D1Mgh12

EXAMPLE 3

Expression Analysis of Genes Involved in L-Alanine Metabolism by Tagman PCR (SYBR Green) with L-Alanine Administration During Liver Regeneration

Expression changes were examined with L-alanine administration during liver regeneration regarding 59 types of rat genes involved in L-alanine metabolism extracted in Example 2.

(1) Preparation of Regenerating Liver

Five 6 week-old F344 male rats (120 g) were fed for 6 days by giving feed CRF-1 (Oriental Yeast) and water and then divided into 2 groups (Group 1 and Group 2) each consisting of rats with the same body weight. At 24 hours before dissection, 70% partial hepatectomy (left lobe and intermediate lobe) was performed by the method of Higgins-Anderson (Higgins, G M and Anderson, R M, Arch. Pathol. 12, 186-191, 1931). On the day of autopsy, the rats were starved for 6 hours before the dissection. At 18 and 21 hours after the partial hepatectomy, 2 g/10 ml/kg BW of L-alanine was orally administered as an aqueous solution containing 0.3% carboxymethylcellulose (Group 1), and only 0.3% carboxymethylcellulose was orally administered as a control (Group 2).

Dissection was performed at 24 hours after the partial hepatectomy. After the rats were killed by bleeding under anesthesia, livers were extracted, weighed, cryopreserved and then subjected to the mRNA expression measurement by the Taqman PCR (SYBR Green) method.

(2) Purification of Total RNA

Total RNA was purified from the remaining liver of 70% partially hepatectomized rats in the L-alanine administered group (Group 1) and the control group (Group 2) in the same manner as in Example 1.

(3) Synthesis of Template

Templante cDNA used in Taqman PCR (SYBR Green) was synthesized in the same manner as in Example 2.

(4) Desigan of Primers

Primers used in Taqman PCR (SYBR Green) were designed by using the external database Primer3 (http://www-genome.wi.mit.edu/cgi-bin/primer/primer3 www.cgi). The names and Unigene Nos. of the genes and the nucleotide sequences of their primers are shown in Table 7. The table includes only the genes for which expression changes were observed as a result of the analysis by Taqman PCR (SYBR Green).

(5) Taqman PCR (SYBR Green)

Taqman PCR (SYBR Green) was performed in the same manner as in Example 2.

(6) Data Analysis

All the Taqman PCR (SYBR Green) reactions were performed in duplicate, and the cycle threshold (CT) was calculated. The expression level at CT=30 was defined as 1, and a relative expression level was obtained according to the following equation. Relative expression level=2⁽30−CT sample)

Futher, a relative value of the expression level of each gene was obtained based on the relative expression of β-Actin, which was taken as 1000. The results of genes for which changes in expression level due to the L-alanine administration were observed are shown in FIGS. 2 to 4. Among these genes, expression changes were also observed in 4 types of genes (Nos. 139, 140 and 151 mentioned in Table 6 and No. 166 mentioned in Table 7) among the genes of which expressions changed in regenerating liver in Example 2.

INDUSTRIAL APPLICABILITY

The present invention provides expression information of genes involved in liver regeneration. By utilizing this expression information, drugs which accelerate liver regeneration or the like can be screened.

	TABLE 7
			Primer sequence
	UnigeneNO.		(SEQ ID NO.)
No.	(Rn.)	Gene	5′ end	3′ end
152	48707	Cationic amino acid transporter-2A	163	164
153	29782	Fumarate hydratase	165	166
154	1093	Rattus norvegicus mRNA for NAD+specific isocitrate	167	168
		dehydrogenase b-subunit, partial cds
155	2837	NAD (H)-specific isocitrate dehydrogenase gamma subunit	169	170
156	1504	Rattus norvegicus cytosolic malate dehydrogenase (Mdh)	171	172
		mRNA, complete cds
157	880	Cytochrome c oxidase subunit VIa (liver)	173	174
158	1745	Cytochrome c oxidase subunit VIIa 3	175	176
159	2270	Rattus norvegicus liver cytochrome c oxidase subunit VIII	177	178
		(COX-VIII) mRNA, 3′ end of cds
160	19207	Rattus norvegicus mRNA for cytochrome C oxidase	179	180
		assembly protein COX17, complete cds
161	10249	Cytochrome b5, outer mitochondrial membrane isoform	181	182
162	80	ATP synthase subunit d	183	184
163	3357	ATP synthase, H+ transporting, mitochondrial F0 complex,	185	186
		subunit c (subunit 9), isoform 1
164	9723	Rattus norvegicus (clone gamma-3) ATP synthase gamma-	187	188
		subunit (ATP5c) mRNA, 3′ end cds
165	853	2-oxoglutarate carrier	189	190
166	32110	Rattus norvegicus glycine transporter mRNA, complete cds	191	192

Claims

1. A gene panel comprising names of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state and expression profiles of the genes.

2. The gene panel according to claim 1, wherein the changes of the gene expression levels are changes in the expression levels in a model animal after partial hepatectomy as compared with the expression levels in a normal state in the model animal.

3. The gene panel according to claim 1 or 2, wherein the expression profiles include expression profiles over time during liver regeneration.

4. The gene panel according to any one of claims 1 to 3, which includes sequence information of a group of PCR primers for analyzing the expression profiles of the genes.

5. The gene panel according to any one of claims 2 to 4, wherein the model animal is a rat.

6. The gene panel according to any one of claims 1 to 5, which includes expression profiles of at least 6 types of genes among 166 types of the genes represented by the numbers 1 to 166 in Tables 1, 6 and 7.

7. The gene panel according to claim 6, wherein the at least 6 types of genes are selected from 151 types of the genes represented by numbers 1 to 151 in Tables 1 and 6.

8. The gene panel according to claim 6, wherein the at least 6 types of genes are selected from 137 types of the genes represented by the numbers 1 to 137 in Tables 1 and 6.

9. The gene panel according to any one of claims 6 to 8, wherein the at least 6 types of genes are the genes represented by the numbers 5, 17, 36, 46, 67 and 68 in Table 1.

10. A method for producing a gene panel comprising expression profiles of genes of which expression levels change in hepatocytes during liver regeneration as compared with those in a normal state, which comprises the steps of: (a) measuring expression levels of various genes in hepatocytes of a model animal in a normal state and expression levels of the genes during liver regeneration; (b) comparing the expression levels, respectively; and (c) identifying a group of genes of which expression levels change during liver regeneration and producing expression profiles from information about gene names and changes in the expression levels.

11. The method according to claim 10, wherein, in the step (a), the expression levels of the gene are analyzed over time during liver regeneration.

12. The method according to claim 11, wherein a liver regeneration accelerating substance is administered before, during or after liver regeneration.

13. The method according to claim 12, wherein the liver regeneration accelerating substance is L-alanine.

14. The method according to any one of claims 10 to 13, wherein the gene expression levels are analyzed by one or more kinds of methods selected from the gene chip method, the ATAC-PCR method and the Taqman PCR (SYBR Green) method.

15. The method according to claim 14, wherein the gene expression levels are analyzed by the gene chip method and the ATAC-PCR method.

16. The method according to claim 14, wherein the gene expression levels are analyzed by the Taqman PCR (SYBR Green) method.

17. A method for screening for a drug involved in liver regeneration, which comprises administering a drug to a model animal or liver tissue or cells and profiling expressions of genes constituting the gene panel according to claim 1.

18. A method for evaluating a condition of liver, which comprises profiling expressions of genes constituting the gene panel according to claim 1 for liver of a subject.

19. A group of primers used in the method for producing a gene panel according to claim 10, the screening method according to claim 17 or the evaluation method according to claim 18, which comprises all or a part of the oligonucleotides of SEQ ID NOS: 1 to 127 and 135 to 192.