Gene Expression Analysis—
Fundamental biological processes such as cell cycle progression, cell differentiation and cell death are associated with variations in gene expression patterns which therefore provide a means of monitoring these processes on a molecular level. Gene expression patterns can be affected by exposure to therapeutic agents, and they are thus useful molecular indicators of efficacy of new drugs and validation of drug targets. At present, gene expression analysis plays an increasingly important role in connection with target discovery.
Gene expression analysis also offers a systematic molecular approach to the analysis of multigenic traits. In the context of plant molecular biology and molecular agriculture, expression patterns of designated genes and their temporal evolution are finding increasing application to guide “breeding” of desirable properties such as the rate of growth or ripening of fruits or vegetables.
Changes in expression levels also are indicators of the status and progression of pathogenesis. Thus, the under-expression of functional tumor suppressor genes and/or over-expression of oncogenes or protooncogenes is known to be associated with the presence and progression of various cancers. Specific genes have been identified whose expression patterns undergo characteristic variations in the early stages of immune response to inflammation or exposure to pathogenic agents including common viruses such as HSV or CMV as well as biochemical warfare agents such as anthrax. Contrary to the expression of protein markers such as antibodies, gene expression occurs at the earliest stages of immune response, thereby offering the possibility of early and specific therapeutic intervention.
Accordingly, the rapid quantitative analysis of expression levels of specific genes (“messages”) and their evolution in time following exposure to infectious agents—or following treatment—holds significant promise as a tool to advance the molecular diagnosis of disease. However, as elaborated in the present invention, standard methods of quantitative gene expression analysis produce data of uncertain quality. Further, as a reliable and practical tool of molecular diagnostics, gene expression analysis, and specifically multiplexed expression monitoring (herein also referred to in abbreviation as “mEM”), must be simple in protocol, quick to complete, flexible in accommodating selected sets of genes, reliable in controlling cross-reactivity and ensuring specificity, capable of attaining requisite levels of sensitivity while performing quantitative determinations of message abundance over a dynamic range of three to four orders of magnitude and convenient to use.
These attributes generally do not apply to current methods. That is, while gene expression analysis has become a standard methodology of target discovery, its use as a diagnostic methodology, particularly in expression monitoring, requiring the quantitative determination of cDNA levels in the target mixture as a measure of the levels of expression of the corresponding mRNAs, has been limited by the lack of flexible and reliable assay designs ensuring rapid, reliable and quantitative multiplexed molecular diagnosis.
Spatially Encoded Arrays: In-Situ Synthesis and “Spotting”—
The practical utility of gene expression analysis is greatly enhanced when it is implemented using parallel assay formats that permit the concurrent (“multiplexed”) analysis of multiple analytes in a single reaction. In a commonly practiced format (see, e.g., U. Maskos, E. M. Southern, Nucleic Acids Res. 20, 1679-1684 (1992); S. P. A. Fodor, et al., Science 251, 767-773 (1991)), the determination of gene expression levels is performed by providing an array of oligonucleotide capture probes—or, in some cases, cDNA molecules—disposed on a planar substrate, and contacting the array—under specific conditions permitting formation of probe-target complexes—with a solution containing nucleic acid samples of interest; these can include mRNAs extracted from a particular tissue, or cDNAs produced from the mRNAs by reverse transcription (RT). Following completion of the step of complex formation (“hybridization”), unbound target molecules are removed, and intensities are recorded from each position within the array, these intensities reflecting the amount of captured target. The intensity pattern is analyzed to obtain information regarding the abundance of mRNAs expressed in the sample. This “multiplexed” assay format is gaining increasing acceptance in the analysis of nucleic acids as well as proteins in molecular medicine and biomedical research.
Lack of Flexibility, Reproducibility and Reliability—
However, spatially encoded probe arrays generally are not well suited to quantitative expression analysis of designated sets of genes. Thus, in-situ photochemical oligonucleotide synthesis does not provide a flexible, open design format given the time and cost involved in customizing arrays. As a result, “spotted”, or printed arrays, which provide flexibility in the selection of probes, have been preferred in applications requiring the use of only a limited gene set. However, “spotting” continues to face substantial technical challenges akin to those encountered by the standard “strip” assay format of clinical diagnostics, which generally is unsuitable for quantitative analysis. Poor reproducibility, relating to the non-uniformity of coverage, and uncertain configuration and accessibility of immobilized probes within individual spots, remains a significant concern. In addition, these arrays require expensive confocal laser scanning instrumentation to suppress substantial “background” intensities, and further require statistical analysis even at the early stages of subsequent data processing to account for non-uniform probe coverage and heterogeneity. Another concern is the comparatively large footprint of spotted arrays and the correspondingly large quantities of reagent consumed. Finally, scale-up of production to levels required for large-scale diagnostic use will be complex and economically unfavorable compared to batch processes such as those available for the preferred embodiment of the present invention in the form of planar arrays of encoded microparticles.
In addition to limited sensitivity, other problems with array-based diagnostics include limited ability to detect genes expressed in widely varying copy number (from 1 or 2 copies per cell to ˜104 copies per cell). Thus, what is needed is an assay method which avoids these problems by maximizing detection sensitivity, minimizing cross-reactivity and permitting detection over a wide dynamic range of transcript copies.
Lack of Specificity—
the most prevalent methods of the prior art rely on multiplexed probe-target hybridization as the single step of quantitative determination of, and discrimination between multiple target sequences. Hybridization is sometimes lacking in specificity in a multiplexed format of analysis (see discussion in U.S. application Ser. No. 10/271,602, entitled: “Multiplexed Analysis of Polymorphic Loci by Concurrent Interrogation and Enzyme-Mediated Detection,” filed Oct. 15, 2002). To enhance specificity, some formats of multiplexed hybridization employ long probes in spotted arrays, e.g. Agilent EP 1207209 discloses probes of preferred length 10 to 30, and preferably about 25. These may help to offset the random obstruction and limited accessibility of capture sequences in spotted probes. That is, probe-target complex formation in spotted arrays generally will not involve the full length, but rather randomly accessible subsequences of the probe. However, as disclosed herein, the use of long probes in a solid phase format generally will be counterproductive. Furthermore, the lack of specificity remains a source of concern: as shown herein, cross-hybridization generally will distort intensity patterns, thereby precluding quantitative analysis unless careful primer and probe designs are employed, using, for example the methods of a co-pending application (U.S. application Ser. No. 10/892,514, “Concurrent Optimization in Selection of Primer and Capture Probe Sets for Nucleic Acid Analysis,” filed Jul. 15, 2004) and performing careful analysis taking into account the molecular interactions between non-cognate probes and targets.
Differential Gene Expression (“Transcript Profiling”)—
Given these difficulties of standard methods of the art, and the potential for serious uncertainty and error in the quantitative determination of absolute expression levels, the format usually preferred in practice is differential expression analysis. This format characterizes differences in expression patterns between normal tissue or cells vs diseased or otherwise altered tissue or cells, or differences between normal (“wild-type”) vs transgenic plants. In accordance with a commonly practiced approach, a set of cDNA clones is “spotted” onto a planar substrate to form the probe array which is then contacted with DNA from normal and altered sources. DNA from the two sources is differentially labeled to permit the recording of patterns formed by probe-target hybridization in two color channels and thus permitting the determination of expression ratios in normal and altered samples (see, e.g., U.S. Pat. No. 6,110,426 (Stanford University)). The system of two-color fluorescent detection is cumbersome, requiring careful calibration of the laser scanning instrumentation generally required to read spotted or other spatially encoded probe arrays—and as well as separate scans for each of the two color channels. These disadvantages are overcome by the subtractive method of differential gene expression disclosed herein which requires only a single detection color.
Complex Protocols—
In a commonly practiced approach to multiplexed expression profiling, mRNA molecules in a sample of interest are first reverse transcribed to produce corresponding cDNAs and are then placed in contact with an array of oligonucleotide capture probes formed by spotting or by in-situ synthesis. Lockhart et al. (U.S. Pat. No. 6,410,229) invoke a complex protocol to produce cRNA wherein mRNA is reverse transcribed to cDNA, which is in turn transcribed to cRNA under heavy labeling—of one in eight dNTPs on average—and detected on an array of synthesized oligonucleotide probes using a secondary “decoration” step. Such a laborious, error-prone and expensive process not only greatly increases the complexity of the method but greatly contributes to the uncertainty of final determinations of message abundance, for example by producing non-linear amplification.
A preferred method of the prior art for multiplexed expression analysis is the use either of randomly placed short reverse transcription (RT) primers to convert a set of RNAs into a heterogeneous population of cDNAs or the use of a universal RT primer directed against the polyA tail of the mRNA to produce full-length cDNAs. While these methods obviate the need for design of sequence-specific RT primers, both have significant disadvantages in quantitative expression monitoring.
Randomly placed RT primers will produce a representative population of cDNAs, that is, one in which each cDNA is represented with equal frequency, only in the limit of infinitely long mRNA molecules. The analysis of a designated set of short mRNAs by random priming generally will produce cDNAs of widely varying lengths for each type of mRNA in the mixture, and this in turn will introduce potentially significant bias in the quantitative determination of cDNA concentration, given that short cDNAs will more readily anneal to immobilized capture probes than will long cDNAs, as elaborated in the present invention. Further, the production of full-length cDNAs, if in fact full-length RT is successful, provides a large sequence space for potential cross-reactivity between probes and primers, making the results inherently difficult to interpret and hence unreliable.
The Role of Target and Probe Configurations—
DNA in solution has been shown to display the characteristics of polymers governed by chain entropy (see Larson et al., “Hydrodynamics of a DNA molecule in a flow field,” Physical Review E 55:1794-97 (1997)). Especially single-stranded (ss) DNA is quite flexible, a fact which manifests itself in a short persistence length of the order of only a few nucleotides (nt) under most experimentally relevant conditions, considerably smaller than that of double stranded DNA (Marko J F, Siggia E D, “Fluctuations and supercoiling of DNA,” 22:265, 506-(1994)). Capture of ssDNA to immobilized probes thus involves considerable restriction of the molecules' conformational freedom. At the same time if duplex formation is to occur, immobilized probes used in solid phase formats of nucleic acid analysis must accommodate invading target strands by elastic deformation. Conformational adjustments in target and probe molecules, considered as polymers, heretofore have not been appreciated in designing assays for nucleic acid analysis.
In view of the foregoing considerations, it will be desirable to have flexible, rapid, sensitive and specific methods, compositions and assay protocols particularly for diagnostic applications of gene expression analysis—herein also referred to as multiplexed expression monitoring (mEM). The present invention discloses such methods and compositions, specifically methods and compositions for rapid, customizable, multiplexed assay designs and protocols for multiplexed expression monitoring, preferably implemented in the format of random encoded array detection for multianalyte molecular analysis. A co-pending application discloses methods by which to select optimized sets of desirable conversion probes (e.g. RT primers) and detection probes (e.g., probes for hybridization-mediated target capture) to further enhance the level of reliability (see U.S. application Ser. No. 10/892,514 “Concurrent Optimization in Selection of Primer and Capture Probe Sets for Nucleic Acid Analysis,” filed Jul. 15, 2004).
Described herein are methods of multiplexed analysis of oligonucleotides in a sample, including: methods of probe and target “engineering”, as well as methods of assay signal analysis relating to the modulation of the probe-target affinity constant, K by a variety of factors including the elastic properties of target strands and layers of immobilized (“grafted”) probes; and assay methodologies relating to: the tuning of assay signal intensities including dynamic range compression and on-chip signal amplification; the combination of hybridization-mediated and elongation-mediated detection for the quantitative determination of abundance of messages displaying a high degree of sequence similarity, including, for example, the simultaneous determination of the relative expression levels, and identification of the specific class of, untranslated AU-rich subsequences located near the 3′ terminus of mRNA; and a new method of subtractive differential gene expression analysis which, requires only a single color label.
Specifically, disclosed are methods, designs and compositions relating to:
For optimizing the specificity of detection, the sequence specificity in multiplexed reverse transcription and detection is optimized by appropriate selection of primers and corresponding probes, as described in co-pending U.S. application Ser. No. 10/892,514, filed Jul. 15, 2003, entitled “Concurrent Optimization in Selection of Primer and Capture Probe Sets for Nucleic Acid Analysis,” incorporated by reference, and also referred to herein for convenience as “application Ser. No. 10/892,514.”
Use of these methods of optimizing sensitivity and specificity permits the rapid, quantitative concurrent analysis of a designated set of genes by way of a reverse transcription of the given set of mRNAs to cDNAs and detection of these cDNAs by capture to a set of matching oligonucleotide probes, preferably on the basis of a simple protocol as disclosed herein, preferably obviating the need for a separate target amplification step, thereby simplifying the protocol and reducing the time to completion of the assay. The methods, protocols and designs described herein are particularly useful for a parallel format of multiplexed nucleic acid analysis, specifically quantitative analysis of expression patterns of a designated set of genes, the set of designated genes typically comprising between 2 and 100 different mRNAs (“messages”), and more typically between 10 and 30 messages, the process herein referred to as multiplexed expression monitoring (mEM). The methods, protocols and designs herein can be used advantageously in conjunction with the READ™ format of multiplexed expression monitoring, as described in U.S. application Ser. No. 10/204,799, filed Aug. 23, 2002, entitled: “Multianalyte molecular analysis using application-specific random particle arrays,” hereby incorporated by reference.
The utility and advantages of the various methods, designs and compositions are set forth in detail below. A description of the drawings follows, which aid in understanding the inventions set forth herein.
Disclosed are methods, protocols and designs, including systematic procedures for enhancing the reliability of the process of determining levels of concentration (“abundance”) of multiple nucleic acid analytes by capture to anchored oligonucleotide probes, specifically including the concurrent (“multiplexed”) analysis of the expression levels of a designated set of genes. More specifically, disclosed are methods for the optimization of sensitivity, specificity and dynamic range of multiplexed gene expression analysis, and further, assay protocols including a subtractive format of performing differential expression analysis using only a single detection color. Also introduced is an explicit phenomenological description of the interaction of targets with anchored probes in order to evaluate the actual affinity constant governing this process. A preferred embodiment of forming planar arrays of capture probes displayed on color-encoded microparticles, without recourse to target amplification as in the case of a cytokine reference panel described herein, may permit completion of quantitative multiplexed expression monitoring in as little as three hours or less, from sample collection to data analysis (
I Optimizing Sensitivity and Dynamic Range: Modulation of Probe-Target Affinity
I.1 Sequence-Specific Affinity Governing Hybridization Complex (“Duplex”) Formation—
The standard analysis of the hybridization-mediated formation of a complex (“annealing”) of two oligonucleotides invokes the law of mass action to relate the concentration of complexed (“bound”) probes and targets, c=[TP], to the concentration of uncomplexed (“unbound”, “free”) probes, herein preferably displayed on encoded beads, p=[P], and the concentration of uncomplexed targets, t=[T], as follows:
[TP]=K[T][P]
or
c=Kpt
In analogy to the common practice of computing “melting temperatures”, the (sequence-dependent) affinity constant is computed using a phenomenological “nearest-neighbor” (NN) model to represent the interaction between adjacent base pairs formed within the probe-target complex for given experimental conditions including salt concentration and temperature. The free energy of duplex formation, also referred to herein as “binding energy” or “condensation energy”, is computed in the form:
ΔGC=ΔGNucleation+ΣiεNN-Pairs{ΔHi+TΔSi)
where ΔHi and ΔSi represent enthalpy and entropy, respectively. The condition ΔGC=defines the “melting temperature”, TM, widely used in the field to estimate the stability of a duplex.
In accordance with standard thermodynamics, the (sequence-specific) affinity constant, KSS, is computed from the expression
KSS=K0exp(−ΔGC/kT)
wherein K0 represents a constant and k denotes the Boltzmann constant.
Given an affinity constant, and given initial concentrations of probe, [P]0, and target, [T]0, the equilibrium concentration of probe-target complex, [TP], is obtained as a function of initial target concentration [T]0.
Using this standard model, melting temperatures and affinity constants were calculated for complexes formed by a 175 nt DNA target and seven different DNA oligonucleotide probes varying in length from 15 nt to 35 nt at a temperature of 55° C. and a salt concentrations of 2M. Target and probe sequences are shown below in Table I-1.
GAT GAA TAT AGA AGC GTC ATC ATC AAA GCA TGC
GAA AAT ATC ATC TTT GGT GTT TCC TAT GAT GAA
TAT_AGA AGC GTC ATC ATC AA
TAT GAT
Calculated melting temperatures and affinity constants are summarized in Table I-2. The very high affinity constants predicted for the longer probes would imply a favorable sensitivity for detection of target. For example, using planar arrays of color-encoded microparticles (“beads”) of 3.2 μm diameter to display probes in accordance with the Random Encoded Array Detection format of multianalyte molecular analysis, and setting the number of probes per bead to [P]0=105, the law of mass action provides the following estimate for the lower limit of target detection with the 21-mer probe:
[T]min=[PT]min/K[P]0=[PT]min/1.7×1010/M×105;
here, [PT]min represents the minimum number of probe-target complexes per bead required to ensure detection, and with [PT]min; =103, [T]min≅0.6×10−12 pM, a value corresponding to a message abundance of single copies per cell.
I.2 The Role of Target and Probe Configurations: Implications for Assay Design
As described below, the size and configuration of the target as well as the size, configuration and arrangement of substrate-anchored probes have a substantial effect on probe-target interaction which leads to substantial deviations of actual probe-target affinities from those predicted by the NN model.
The adverse role of steric effects (“hindrance”) in the capture of target analytes to immobilized probes, and specifically the importance of probe accessibility, have been known in the art; see e.g., Guisan, J. M. in “Immobilization of Enzymes and Cells,” Gordon F. Bickerstaff, Humana Press, Totowa, N.J., pp. 261-275 (1997). Thus, empirical strategies of enhancing capture efficiency by introducing spacers of preferred length in order to alleviate constraints related to probe “packing” have been described; see e.g., Southern E. et al., Nat. Genet. (suppl.) 21, 5-9 (1999). However, in contrast to the known methods, the methods disclosed herein establish the fundamental interconnection between certain properties of target and probe layer as the foundation of a systematic design process guiding the optimization of probe-target interaction. Probe layer compressibility is identified as a property to be maximized in order to facilitate penetration of the target, or portions of the target, into the layer in the course of duplex formation. More generally, the design criteria herein reflect the nature and magnitude of effects of length, grafting density and electrostatic charge of substrate-anchored probes, length and configuration of target, and selection of the location of the capture subsequence relative to the target's 5′ terminus on capture efficiency and hence assay signal. Conversely, to permit the correct determination of target abundances, methods are disclosed to determine the re-normalized constants governing probe-target interaction.
Disclosed are methods, designs and design rules relating to the selection of sizes, configurations and arrangements of anchored capture probes, sizes and configurations of target including the selection of capture subsequences and the selection of array compositions and protocols, in order to modulate probe-target capture efficiencies and to optimize assay sensitivity, specificity and dynamic range.
In order to establish design criteria, the nature and magnitude of effects of length, grafting density and charge of substrate-anchored probes as well as size and configuration of target, or designated subsequences of target, on capture efficiency and hence assay signal, are disclosed. Relevant experiments were performed in accordance with the Random Encoded Array Detection (READ™) format of multianalyte molecular analysis in which probes are displayed on color-coded polymer microparticles (“beads”), and beads are arranged in a planar array on a silicon chip. See U.S. application Ser. No. 10/204,799, filed Aug. 23, 2002, entitled: “Multianalyte molecular analysis using application-specific random particle arrays,” hereby incorporated by reference. Probes preferably are “end-grafted” to beads by way of a covalent linkage at the 5′ terminus. The analysis of experiments performed on synthetic model DNA targets as well as model cDNAs generated by reverse transcription from a 1,200 nt Kanamycin mRNA (Promega), establishes a critical role of target and probe configurations in the interaction of targets with an immobilized set of probes, even when the target strands of interest are of such relatively modest size.
I.2.1 Synthetic Model Targets—
Binding Isotherms were Recorded Over a Wide Range of concentration of labeled synthetic DNA targets varying from 25 nt to 175 nt in length, and over a range of capture probe lengths varying from 15 nt to 35 nt (see Table I-1 and Example I).
Target Length Dependence—
To investigate the dependence of probe-target capture efficiency on the length of the target strand, four fluorescently end-labeled synthetic DNA targets, 25 nt, 40 nt, 90 nt and 175 nt in length (see Table I-1), all containing a common subsequence, were permitted to hybridize to a 19 nt capture probe displayed on color-coded beads of 3.2 μm diameter and arranged in a planar array in accordance with the READ format. Representative binding curves, reveal a significant dependence on target length, L. As illustrated in
Estimates of the experimental affinity constants, K*, and the number densities of available capture probes, [P]0=p0, were obtained by fitting each profile to the law of mass action; results are summarized in
Under typical experimental conditions of interest in the context of gene expression analysis, the size of the target will exceed that of the probe, and each captured target will thus occlude more than a single probe; accordingly, saturation will reflect the capture of a limiting number, NTSat, of targets to a bead of finite area, A0. A lower limit of NTSat is obtained by assuming that the bead surface is decorated with captured targets assuming a “relaxed” configuration in which a target's characteristic size is set by its radius of gyration, RG, T˜a Lν, ν denoting a characteristic exponent with numerical value ν=½ for an ideal chain and ν=⅗ for a self-excluding chain in a good solvent in 3 dimensions (deGennes, “Scaling Concepts in Polymer Physics”, Cornell University Press, 1979). Accordingly, for the smallest target, NTSat˜A0/RG,T2, or NTSat˜1/L. Identifying p0 with the number, NTSat, of targets captured per bead at saturation yields, for example for the smallest target (L=25 nt), an average molecular area of AT˜4π (1.6 μm)2/8*105˜4*103 Å2, a value comparable to that obtained for ATRelaxed˜πRG,T2˜6.5*103 Å2 when using an (experimental) estimate of RG,T≃9 L1/2≃45 Å (Tinland et al, Macromolecules 30, 5763 (1997)). For the 175 nt target, comparison of the corresponding two values yields AT≃1.6*104 Å2<ATRelaxed≃4.5*104 Å2. These comparisons suggest that, at saturation, either the larger target molecules are not in their relaxed, but in a more compact configuration, or that they are no longer isolated but are substantially “overlapping,” that is, interpenetrating.
When plotted at a fixed target concentration as a function of target length, L, the signal intensity displays a 1/Lx dependence (
The power-law dependence of the effective affinity governing probe-target hybridization provides a means of tuning the capture efficiency in accordance with the length of specific target strands. This is a particularly useful design criterion in applications such as expression monitoring permitting the control of cDNA lengths by placement of sequence-specific reverse transcription (RT) primers. As discussed herein in greater detail, rare messages preferably are converted to short cDNAs to maximize capture efficiency.
Probe Length Dependence—
A complete set of binding curves such as those shown for the 19 nt probe in
I.2.2 Kanamycin mRNA: Selection of Transcript Length and Placement of Capture Sequence
It is further shown that, as with synthetic targets, the reduction in length, L, of cDNAs, herein also referred to as “transcripts,” obtained by reverse transcription, produces a systematic and significant enhancement in the assay signal of the shorter transcript over that attained from the longer transcript given the same mRNA concentration. As illustrated herein for a 1,200 nt Kanamycin mRNA (Promega), cDNA products varying in length from ˜1,000 nt to ˜50 nt were produced by selecting suitable RT primers (Example III). Placement of the capture subsequence near the 5′ end of the cDNA is shown to produce an additional enhancement. Accordingly, capture probes preferably were designed to match subsequences located in close proximity to the transcript's 5′ end (see
Multiple Primer Multiple Probe (mpmp)-RT Protocol—
In some cases, multiple reverse transcription (RT) primers were employed (
I.2.2A Effect of Reduction in Transcript Length—
Guided by the results of titrations on model compounds, as described in Sect. I.2.1, it was established that a reduction in transcript length does indeed yield a substantial improvement in assay signal.
A series of RT reactions, performed on Kanamycin mRNA over a range of initial concentrations in accordance with an mpmp-RT design and assay protocol (Example IV), produced the titration curves shown in
For example, I150 nt/I100 nt˜3, at the target concentration corresponding to 1.13 nM. The experimental observation of an enhancement of ˜3, for example near the cross-over concentration (see “break points” indicated in
Similarly, a reduction of transcript length from 1,000 nt to 50 nt results in an enhancement of ˜( 1000/50)3/2 ( 1/15)˜6, the first factor relating to length reduction (with x= 3/2) and the second factor reflecting the fact that the 50-mer, at the chosen labeling densities, would contain, on average, only a single label.
Linearized Adsorption Isotherm Representation—
Further insight is gained by representing the titration curves in the form of a linearized adsorption isotherm representation which directly follows from the law of mass action. For the reaction P (probe)+T (target)<->C (probe-target complex), mass action implies the relation c=Kpt, where c, p and t denote the respective concentrations and K denotes the affinity constant. Setting p=c−p0, t=c−t0, where p0 and t0 respectively represent initial probe and target concentrations, yields c=K(c−p0)(c−t0) and, provided that c<<t0, as in the experiments reported here, c=K(po−c)t0 or c=p0−c/K t0. Displaying titration results in the latter form—assuming, as before, that the signal, I, is proportional to c, I˜nFc, nF denoting the number of fluorophores per transcript—highlights the linear dependence of c on (c/Kt0) and permits the determination of p0, from the intercept, and K, from the slope. Specifically, abrupt changes in slope signal a cross-over between regimes, as discussed in the text.
As summarized in Table I-4, at the cross-over—observed for all transcripts at a
concentration of approximately t0≃1 nM—the affinity constant for the 1,000 nt transcript drops by a factor of ˜20, and that for the 150 nt and 50 nt transcripts by a factor of ˜2. That is, the reduction in the effective affinity is increasingly less pronounced as transcript length decreases. In the dilute regime, the slope for adsorption isotherm of the 50 nt transcript displays a slope that is smaller by a factor of ˜2.5 than that for the isotherm of the 150 nt transcript, indicating a correspondingly higher value for the corresponding affinity constant of the former.
The cross-over to this regime occurs at low values of coverage, θ, as may be seen from the following argument. Transformation of the linearized adsorption isotherm representation to the standard form of the Langmuir isotherm, 1/({1+1/K t0}=c/p0, displays the fraction of occupied probes, c/p0=θ; as discussed below, is more precisely viewed as the ratio of the number of probes occupied at t0 relative to the number occupied at saturation. Specifically, extrapolating from the concentrated regime into the cross-over regime shows that, for the examples in
I.2.2B Effect of Capture Probe Placement: Terminal Capture Sequences—
It is also disclosed herein that the effective affinity governing capture efficiency and hence assay signal and sensitivity is enhanced by locating capture subsequences near the 5′ end of long transcripts, as illustrated in
The results disclosed so far imply that the quantitative determination of message abundance requires a careful analysis of the effective affinities governing the interaction between targets and anchored probes.
I.3 Empirical Design Rules—
A priori knowledge of the sequence of transcripts to be detected in “diagnostic” expression profiling permits the design of capture probes directed against specific target subsequences in order to enhance sensitivity, preferably selecting terminal capture probes, modulate the dynamic range by selecting the operating regime to be above or below c*, and to optimize specificity, methods and designs for which are described in greater detail in application Ser. No. 10/892,514.
The following empirical design rules are useful in guiding the optimization of probe-target interaction. These rules also indicate the need for corresponding corrections in the analysis of signal intensity patterns, as further discussed in Sect. II.
To account for the observations presented in Sect. I, and to provide a basis for the refinement of design rules into a systematic design process guiding the selection of optimal probe layer and target configurations, the present invention discloses a phenomenological model for the capture of single-stranded (ss) DNA or RNA targets to a layer of end-grafted probes, each such probe designed to be complementary to a designated “capture” subsequence within the cognate target. Specifically, this model views the formation of a duplex between a capture probe and a designated target subsequence as an adsorption process which requires the penetration of a portion of the target into the probe layer. This involves an elastic deformation of the layer as well as the confinement of (a portion of) the target which will be accompanied by a loss of configurational entropy. The formation of anchored probe-target complexes is thus viewed herein as a grafting process which mediates the transformation of the end-grafted probe “monolayer” into a probe-target “bilayer”.
Polyelectrolyte Brush—
In one way, the model presented herein is thus informed by the process of polyelectrolyte adsorption to a deformable substrate, this substrate displaying the characteristics of a polyelectrolyte “brush”, or, under certain conditions, that of a polymer “brush,” composed of end-grafted probes (
As described herein, the high charge density realized within a layer of anchored oligonucleotide probes permits operation under a variety of external conditions, with the possibility of realizing a variety of probe layer configurations. These are determined primarily by the probe grafting density, σ, and by the effective linear charge density, f, 0<f<1, reflecting the degree of dissociation, α, of probes within the layer in response to solution conditions, especially pH, temperature and salt concentration, CS.
For example, denoting by k the dissociation constant for the solution reaction AH⇄A−+H+, αBulk:=[A−]/[AH] is given in terms of k and [H+] in the form αBulk=1/{1+[H+]/k}; generally [H+]>[H+]Bulk and α<αBulk, and f=f(α) or, more precisely, f=f(k, CBulkS). When the salt concentration, CBulkS in the bulk solution is low, counterions are retained in order to maintain electroneutrality in the interior of the brush at the expense of a loss of entropy of mixing. Under the action of the corresponding osmotic pressure, chains are expected to be fully elongated, regardless of grafting density. Conversely, at sufficiently high bulk salt concentration, excess mobile co-ions and counterions can penetrate into the brush and screen electrostatic interactions within the brush; as the osmotic pressure associated with the trapped counterions is diminished, the appearance of relaxed chain configurations—and a corresponding reduction in layer thickness—are expected. Under the high salt concentrations, in the range of ˜100 mM to ˜2M, frequently realized in conventional hybridization experiments, a collapsed state can result in which counterions are no longer distributed throughout the layer but are associated with anchored probe chains (or probe-target duplexes).
Interfacial Film of Short Amphiphiles—
In another way, the model herein is informed by the process of adsorption of solutes, say proteins, to monomolecular (“Langmuir”) films composed of amphiphilic molecules such as phospholipids, surfactants or certain peptides adsorbed at an air-water or oil-water interface. Insertion of solutes into such a film requires local film compression, mediated by changes in chain packing and configuration, in a manner analogous to that produced by lateral compression. As a function of grafting density, the interplay of orientational and configurational degrees of freedom can produce a variety of phases; for present purposes, phases, or coexistence regions of high lateral compressibility are of principal interest. While the following discussion employs the language of polymer theory, it is understood that any extensions or refinements likely possible for layers of short probe chains by reference to the known phase behavior of interface-adsorbed amphiphilic (“Langmuir”) films also are included herein.
The phenomenological model is to elucidate the critical role played by elastic effects arising from distortions in target and probe layer configurations required for duplex formation between targets and probes, particularly when either targets or probes are immobilized. Further, it is to provide a basis for the refinement of the empirical design rules delineating optimal “operating regimes” for target capture to immobilized probe layers and for the completion of assay protocols. For example, such protocols may call for target-mediated, polymerase-catalyzed probe elongation, as illustrated below in connection with a method of signal amplification which will require penetration into the probe layer of additional assay constituents including enzymes.
II.1.1 Probe Layer Deformation and Target Confinement: Renormalization of Affinity Constant
A (portion of a) target penetrating into a layer of end-grafted probes will increase the local segment concentration and will generate a corresponding osmotic pressure; in addition, the incoming target also will induce an elastic deformation of the layer which is mediated by chain elongation (“stretching”), as illustrated in
At very low grafting density, for example, in the limit d˜σ−1/2>>RG, T, isolated probes assume a relaxed (“mushroom”) configuration of size RG, P˜aPν, ν=⅗, and target capture will proceed in the absence of the constraints imposed by local chain “packing”; however, the maximal number of targets captured will be small and the corresponding assay signal low. Conversely, at high grafting density, for example such that d˜σ−1/2≦ξT<<RG, T, particularly under conditions producing full chain elongation, the number of available capture probes will be high, but the lateral compressibility of the layer will be low and target capture will be inefficient and the assay signal low; here, ξT denotes a characteristic target “blob” size in a partially elongated target. Accordingly, to optimize target capture to a layer of immobilized probes, the grafting density is optimized so as to provide the highest possible number of probes per unit area without substantially reducing compressibility. For example, given an actual target of which a portion of size T is to participate in duplex formation, the optimal grafting density can be found by providing a synthetic target of size T and determining—under fixed external conditions—the assay signal reflecting fraction of captured target as a function of increasing grafting density until a plateau or peak in the resulting profile is obtained. “Indirect” probe anchoring, for example to a flexible “backbone” which is in turn attached to the solid phase, also can alleviate constraints. See U.S. application Ser. No. 10/947,095, filed Sep. 22, 2004, entitled: “Surface Immobilized Polyelectrolyte with Multiple Functional Groups Capable of Covalent Bonding to Biomolecules,” incorporated by reference.
Targets, or portions of targets, in order to make contact with the capture sequence, must adjust to the local configuration of the probe layer or the already formed composite probe-target layer (see
The sequence-dependent “condensation” energy, GC, which favors the formation of probe-target pairs must be balanced against these repulsive contributions to the free energy, Gel=GP+GT; accordingly, the free energy governing probe-target complex formation has the form G˜Gel−Gc. An immediate consequence of this form of the free energy is a “renormalization” of the sequence-dependent affinity constant, KSS, to an effective affinity constant, K*<KSS. As long as Gel<GC, condensation will still occur, but with a smaller net gain in free energy, −ΔG*C=−ΔGC+Gel, >−ΔGC, and a correspondingly smaller effective condensation energy implies a smaller effective affinity constant,
K*˜exp(−ΔG*C/RT)<KSS˜exp(−Gc/RT);
as well as a lower “melting temperature”, T*M<TM, wherein T*M is determined from the condition ΔG(T*M)=ΔG*C(T*M)=0 and TM is determined from the condition ΔGc(TM)=0. Substantial corrections to the sequence-specific values must be anticipated, in fact, elastic effects can suppress duplex formation altogether.
One method of assessing effective affinity constants is the empirical method, described herein, of performing isotherm measurements using probe payers of defined configuration and synthetic targets comprised of one target containing only the subsequence of interest of length T, and additional targets containing the subsequence of length T embedded in a total sequence of length L>T. Ignoring excluded volume effects, the probe layer configuration is determined, for given probe length, P, by grafting density, σ, and effective linear charge density, f, 0<f<1, the latter in turn reflecting experimental conditions, especially salt, pH and temperature, realized in bulk solution. From these isotherm measurements, values for the effective affinity constant in various regimes of target concentration are readily extracted.
Another method of assessing effective affinity constants, complementary to the empirical method, is that of invoking a phenomenological model of probe-target capture to account for the effects of elastic and electrostatic interactions.
II.1.2 Design Considerations
Probe Layer Configuration: Preferred Grating Density—
For given grafting density, σ, overlap between adjacent chains in a “mushroom” configuration begins to occur when the transverse displacement of probe chains, s⊥, is comparable to d, that is, s⊥˜aPν≅d, P denoting probe length and a denoting a monomer or segment size. With ν=½, the condition becomes a2P˜d2˜1/σ and hence P˜1/σa2. Given a preferred length, P, for the capture probe of interest, the grafting density therefore preferably is adjusted such that σ<1/a2P.
Considering target penetration to increase segment density in a manner equivalent to that of an increase in probe grafting density, suggests a modification of this rule. Given a preferred length, P, for the capture probe of interest, and anticipating penetration of a portion of target occupying at least the same footprint as the probe, select a preferred grafting density such that σeff=gσ<g/a2P, ½<g<1; for example, with g=½, that is, T=P (a situation realized to good approximation in the case of terminal capture,
Free Energy of Probe Layer: Osmotic Pressure and Elastic Deformation—
The penetration of a target strand, or a portion thereof, into a brush of end-grafted probes leads to an increase in local segment density, φ. For a brush of area A0 and thickness D=D(σ) containing nP chains, φ˜S/A0D(σ)˜(nP/A0)P/D(σ), P representing the number of segments per chain; hence, φ˜σP/D(σ). An increase in φ leads to an increase in the osmotic pressure, II˜φw denoting a characteristic exponent, and to a decrease in the layer compressibility, χ:=(1/φ)∂φ/∂II. Introduction of each additional segment also leads to elastic deformation. For example, in a brush composed of strings of “blobs” (
Control of Grafting Density—
Unless limited by the lateral density of adsorption sites provided on solid phase carrier surfaces, the grafting density realized in the formation of the probe layer by covalent end-grafting reflects the balance between a characteristic adsorption (“binding”) energy (per probe) and repulsive interactions such as the elastic deformation of the growing probe layer required to accommodate an additional probe. That is, the grafting density defines a characteristic area per chain, AP˜d2˜1/σ. In this case, grafting density reflects the conditions pertinent to the covalent functionalization of solid phase carriers, notably the concentration of probe and the conditions of incubation.
The experimental observation of a maximal capture efficiency at typical values of P≃30 suggests a characteristic “footprint”, ξP, per chain. Using p0≃6*105 (
As discussed herein, high grafting densities, particularly those realized in typical conditions of in-situ synthesis of oligonucleotide probes (Lipshutz, R. J. et al., Nat. Genet. (suppl.), 21, 20-24 (1999); Shchepinov, M. S. et al., Nucleic Acids Research 25, 1155-1161 (1997)) generally may be unfavorable. Spotting of probes generally will not produce end-grafted layers but rather more complex “crumpled” layers (Netz & Joanny, Macromolecules 32, 9013-9025 (1999)) in which molecules may be attached to the solid phase at multiple (random) sites, leaving only a small portion of probe sequences—unknown a priori and highly variable from spot to spot—accessible to the target. Control of grafting densities may be difficult to achieve in this situation.
Preset values of a lower than that attained in the “self-limiting” case are realized, for example, by introducing an intermediate step into the process of microparticle functionalization. Specifically, introduction of a bifunctional modifier in the form of a functionalized polymer such as bifunctional polyethyleneglycol (“PEG”) molecules of adjustable molecular weight, biotin-binding proteins like NeutrAvidin, Streptavidin or Avidin, and any other heterofunctional polymeric linkers of known molecular size sets an upper limit on the probe grafting density, which is now determined by the size of the modifier and its lateral “packing” at the bead surface (
Target Strand Confinement: Dilute and Concentrated Regimes of Adsorption—
The discussion of the elastic response of the probe layer to target insertion suggests that elastic deformations of the composite probe-target layer give rise to the observed cross-over between dilute and concentrated regimes in the adsorption isotherms (
In the limit of small targets, the principal effect of capture will be that of increasing the segment density within the probe layer, as discussed above, suggesting the cross-over to reflect the transition of the probe layer, or more generally, the layer formed by capture probes of characteristic size ξ^P<ξP and already captured targets of characteristic size ξ^T<ξT, into a regime of lower compressibility. That is, the cross-over occurs when nT*ξ^T2+nP*ξ^P2˜η*A0, hence η*˜(nP*/A0)ξ^P2+(nT*/A0)ξ^T2˜p0ξ^P2+c*ξ^T2 and c*˜(η*−p0ξ^P2)/ξ^T2. In the special case ξ^P2≃ξ^T2≃ξ^2, c*+p0˜η*/ξ^2, or, assuming ξ^2˜Ly, 0≦y≦1, c*+p0˜η*/Ly; in he special case nP*=nT*=n*, η*˜(n*/A0)ξ^PT2 or c*=(n*/A0)˜η*/ξ^PT2, where ξ^PT2 represents the footprint of the probe target duplex; here, as before, 0≦η*≦1. This limit may be realized either by providing a short target, not a generally available design in practice, or by placing the designated target sequence in proximity to the target's 5′ end. The latter possibility is illustrated herein in connection with
In contrast, in the limit of large targets, in exact analogy to the “self-limiting” grafting process of producing the grafted probe layer, the cross-over reflects the incipient overlap (“crowding”) of target strands in the growing layer of captured targets of (overall) size L and characteristic “footprint” ξT2; target overlap occurs when nT*ξT2˜η*A0, 0≦η*≦1, implying c*˜nT*/A0˜η*/ξT2˜1/L where η*A0 represents the fraction of the available area covered by captured target.
Adjusting Grafting Density to Allow for Target Penetration, Refined
The expression derived for the second case represents a design rule which may be applied to optimize the grafting density of the probe layer so as to ensure realization of the dilute regime in accordance with the boundary delineated in
Typical values of grafting densities described herein in relation to the preferred embodiment of the invention, namely 106 per bead of 3.2 μm diameter (or ˜3*1012/cm2) correspond to high intralayer volume charge densities, zCP. For example, for an oligonucleotide of length P=20, assuming a corresponding probe layer thickness D˜50 A, CP≃106/(π(3·2)2D)˜10 mM for the concentration of probe chains, and thus yielding a corresponding value of fCP=200 mM, f=20, for the local concentration of charges associated with (fully dissociated) backbone phosphate groups.
In electrochemical equilibrium, the concentrations of cations and (poly)anions present in the interior of the probe layer and in bulk solution are interrelated in accordance with the condition C+C−=CBulk+CBulk−. Electroneutrality requires, within the probe layer, C−+fCP=C+, and in bulk solution, CBulk+=CBulk−=CBulk. Accordingly, the concentration of cations within the layer, for given negative charge fCP, can substantially exceed the concentration of cations in bulk solutions:
C+=½fCP(1+{1+(4CBulk2/fCP2)}1/2
For example, in the limit CBulk/fCP<<1, C+˜fCP>>CBulk. That is, counterions are retained within the brush even in the presence of a large gradient in ion concentration; in fact, they are distributed throughout an effective volume, Veff, which is smaller than the volume, V, of the brush by the finite volume occupied by the probe chains, Veff˜V (1−φ).
The corresponding Debye screening length, ξE˜1/κ, associated with the backbone charge, fCP, per chain, is obtained from the expression κ2=4π1BfCP, 1B=e2/εT denoting the Bjerrum length, and CP=P/d2D. Balancing the repulsive contribution arising from the osmotic pressure Π=fCPT generated by counterions trapped within the brush with chain elasticity, fCPT=kD/d2, with an elastic constant k=T/a2P, yields D≃f1/2aP, independent of grafting density, so that ξE≃d(a/4π1f1/2)1/2. This scale is set by the mean separation, d, between chains, and hence the grafting density. In the limit ξE≦D, chains are elongated for any degree of charging, f>0, producing the maximal brush thickness independent of grafting density. Provided that the grafting density is sufficiently low so as to accommodate penetration of incoming target, capture to such a layer in the configuration of a “bed of nails” can proceed without significant elastic distortion of the probe layer. The return to partial chain elongation in accordance with the “blob” configuration is achieved by addition of free co- and counterions at sufficient concentration so as to ensure that the Debye screening length κFree−1 associated with these free ions is comparable to ξE so that ξEκFree≧1. For such a screened brush, the internal configuration, while qualitatively resembling that of the semidilute polymer brush composed of a string of “blobs”, will respond to conditions maintained in bulk solution in order to maintain electrochemical equilibrium.
Confining Duplex Formation to Interior of Charged Probe Layer—
In this case, while exposed to a salt concentration of only 1 mM in solution, generally considered to preclude duplex formation (Primrose, “Principles of Genome Analysis”, Blackwell Science, 1995), the target, once it has penetrated into the probe layer, actually encounters a far higher local salt concentration and conditions of electrostatic screening that are favorable to duplex formation. That is, the probe layer provides a local chemical environment permitting probe-target hybridization under nominal conditions of extreme stringency in the bulk solution which counteract the formation of secondary structures in ssDNA or RNA and prevent reannealing of dsDNA in bulk while permitting (local) duplex formation within the probe layer. This scenario preferably is realized in accordance with the rule:
Given a sequence, or sequences, of interest, specifically a set of mRNA messages, proceed as follows, applying design rules as appropriate:
II.2.2 Evaluation of Effective Affinity Constant
II.2.3 Assay Signal Analysis
III. Assay Methodologies
This section discloses several methodologies relating to optimization of sensitivity, dynamic range and assay specificity, particularly pertaining to the multiplexed analysis of abundances of highly homologous messages, and further discloses a design strategy for subtractive differential gene expression analysis using only a single detection color.
III.1 Tuning of Signal Intensities
In nucleic acid analysis, target analyte concentration can vary over a wide range. Thus, multiplexed expression monitoring generally will encounter a range of message abundance from low, corresponding to one or two mRNA copies per cell, to high, corresponding to 104 copies per cell or more. The requisite dynamic range of decades for the simultaneous detection of signals from the weakest and the strongest transcripts will exceed the capabilities of many cameras and recording devices. The modulation of probe-target affinities as well as certain methods of array composition provide the means to tune the signal intensity in accordance with known or anticipated message abundance.
III.1.1 Optimization of Array Composition: Operation in Dilute Vs Concentrated Regime
The selection of RT primers for producing cDNA transcripts of desired length from an mRNA subsequence of interest, and the selection of 5′-terminal target subsequences for capture, in accordance with the considerations elaborated herein, permit the modulation of probe-target affinity and thus the control of the dynamic range of assay signals indicating target capture.
Selection of Transcript Length—
In the simplest case of an assay design calling only for reverse transcription, but not amplification, the concentration of cDNAs reflects the abundance of mRNAs in the original sample; that is, the target abundance is given. Then, a judicious choice of transcript length, and/or the placement of capture subsequences, permit the maximization of detection sensitivity and the simultaneous “compression” of signal dynamic range by way of tuning the effective affinity constant.
To compensate for the low abundance of transcripts representing rare messages, a short transcript length is preferably selected in order to realize the highest possible effective affinity constant and to maximize the assay signal produced by hybridization of these transcripts to anchored probes. This will ensure maximization of the detection sensitivity: Conversely, to compensate for the high abundance of transcripts representing common messages, a long transcript length is preferably selected in order to realize the lowest possible effective affinity constant and to minimize the assay signal produced by hybridization of common transcripts to anchored probes. This will ensure the (approximate) “equalization” of assay signals from rare and abundant messages.
Tuning of Transcript Abundance—
More generally, a situation may arise in which the selection of the optimal transcript length is subject to additional constraints. For example, as herein discussed, in the case of analyzing closely homologous sequences, the subsequences near the 5′ termini of many or all targets in a given sample may be identical, and identification of a specific target may require preparation of a longer than otherwise desirable cDNA. Then, for given length, L, the target abundance, t0, preferably will be selected (for example by one or more rounds of differential amplification, see below) so as to ensure, for rare message, operation below c* and/or, for abundant message, operation above c*.
Placement of Capture Subsequence—
Another method of enhancing the sensitivity of detection of transcripts present in low copy number is to provide capture probes directed to a target subsequence located near the 5′ end of transcripts, rather than to subsequences located in the central portion of transcripts. As discussed in Section I, the central portions of the target tend to be less accessible, and require a greater degree of probe layer distortion, than do the terminal portions of the target, with a correspondingly lower effective affinity constant in the former situation.
By any available method, the preferred design aims to realize one of the following configurations.
With reference to
The corresponding design procedure is summarized in Section II.2 as part of the Assay Design Optimization procedure within the functions: SelectFinalTargetAbundance (L, L*, C), SelectTargetLength (C, C*, SP) and SelectCaptureSequence (ProbeSeq).
III.1.2 Control of Array Composition: Carrier Redundancy
Dynamic range and detection sensitivity can be further optimized by matching the number of probes of a given type to the anticipated concentration of the specific targets. Specifically, in the preferred READ format of the invention, the number of probes is readily adjusted by simply adjusting the number of microarticles (“beads”) of particular type, a quantity also referred to herein as redundancy. A design rule for specifying the selection of optimal relative abundances of beads of different types is provided.
Ekins (U.S. Pat. No. 5,807,755) discusses a related method of designing spotted arrays of receptors to perform receptor-ligand binding assays. This method of the art requires that the concentration of receptors be significantly smaller than the concentration of ligand. As discussed below, this situation corresponds to a limiting case of the theoretical description presented below in which both [P]0 and the number, NB, of beads are small. However, Ekins neither contemplates the regime of high receptor concentration nor the related methods for dynamic range compression disclosed herein. Furthermore, Ekins does not contemplate the use of random encoded arrays of particles for receptor-ligand interaction analysis, nor does he contemplate the variation of the relative abundances of beads/probes of different type as a means to establish desirable assay conditions.
The reaction of interest is the complexation in solution of target molecules (which include, for example, ligands T) with receptor molecules P (which can be probes) displayed on solid phase carriers, such as color encoded beads, to form reversible complexes P·T. This reaction is governed by the law of mass action and has an affinity constant, K Thus, for the case of a single receptor binding a single ligand:
The law of mass action in its basic form delineates the relationship between the number of complexed molecules on a bead, [PT], the number of uncomplexed receptor sites on a bead, [P] and the total number of free ligand molecules available for reaction, [T]. Mathematically,
The bead displayed receptor molecules, P, are immobilized on the beads at the concentration of [P]0 (p0) molecules per bead. In the analyte, the initial concentration of ligand molecules, T, is [T]0 (t0) moles/l (or M).
At any instant, the concentration of complexed molecules on the surface is [PT](c) molecules/bead. The number of uncomplexed receptor sites, [T](t), is given by (p0−c). The number of ligand molecules available for reaction at any time is the difference between the initial number of ligands and the number of molecules of ligand already complexed. In an array of NB beads, all having receptor molecules of type P, the total number of complexes formed is equal to cNB. Thus, in an analyte solution of volume V, the number of available ligand molecules is given by VNA to−NBc; where NA denotes Avogadro's number. The law of mass action can be rewritten to include known variables in the form:
The number of complexes c is directly proportional to the fluorescent signal obtained for each bead.
In this scenario, two extreme cases can be identified:t0>>. The total number of ligand molecules in the analyte is far in excess of the number of total receptor sites. Addition of a few more beads into an equilibrated system does not affect the number of complexes on each bead appreciably. The number of complexes, and thus, the intensity of beads displaying such complexes, is independent of the number of beads. t0<<NBp0/VNA.
The number of receptor sites available for reaction far exceeds the number of ligand molecules available. Under these circumstances, if a few more beads were added to an equilibrated system, some of the complexed ligand molecules would have to dissociate and redistribute themselves onto the newly-added beads to reattain equilibrium. In effect, the limiting situation is c=t0VNA/NB. Thus, for a given concentration of ligand molecules, the number of complexes displayed per bead, and thus the corresponding fluorescence intensity, is inversely proportional to the number of beads, c∝1/NB.
Introducing dimensionless variables, Y=c/p0, X=Kt0, and C=Kp0NB/NA/V, the equation for K can be rewritten in the form Y/(1−Y)=(X−CY).
Sensitivity of Detection—
Control of the number of beads of a given type within a random encoded array provides a preferred means for producing signal intensities within desired limits. In the simplest case of single ligands binding to single receptors, maximum occupancy is obtained by reducing the number of beads below the knee of the curves in
Dynamic Range Compression—
As discussed earlier, in a multiplexed assay, often there is a large disparity in the concentrations of individual ligands to be detected. To accommodate within the dynamic range of a given detector the wide range of signals corresponding to this range in analyte concentration, it generally will be desirable that the number of beads of each type in a multiplexed reaction be adjusted according to the respective expected analyte concentrations. Specifically, it will be desirable that weak signals, produced by analytes present in low concentration, be enhanced so as to be detectable and that, at the same time, strong signals, produced by analytes present in high concentration, be reduced so as not to exceed the saturation limit of the detection system.
The equalization of specific signal intensities provided by dynamic range compression is particularly desirable when:
a) concentrations of ligands in an analyte solution are known (or anticipated) to vary widely.
b) binding affinitities of some ligands are known (or anticipated) to be very weak.
c) receptor density for some bead types is known (or anticipated) to be low.
For example, in a 2 ligand-2 receptor system, with ligand concentrations, t0,1>>t0,2 it is desirable that the corresponding relative abundances of beads displaying cognate receptors be adjusted in accordance with the condition NB,1>>NB,2. Such reasoning is readily extended to assays involving a multianalyte solution containing a large number of ligands that is placed in contact with an array of beads containing corresponding cognate receptors.
Therefore, an array design rule for purposes of compositional optimization entails the following steps:
Select a desirable number of fluorophores or complexed molecules cid on beads of each type of interest.
As described herein, the effective affinity constants can display a substantial length-dependent variation: for example, in the case of Kanamycin, Keff (L=50 nt)/Keff (L=1000 nt)˜10 in the concentrated regime. An example of the dramatic effect of the combination of transcript length selection and bead redundancy on assay signal intensity is illustrated in
As depicted in
Without correction for the substantially differing effective affinity constants of the two transcripts, the analysis of the experimental data would lead to a substantial error in message abundance.
Entanglement—
This particular example illustrates a further effect on signal intensity of captured target which arises from entanglement of target strands in solution. That is, target strands in solution begin to overlap at a certain threshold, t*, in target concentration. For a target containing L nucleotides and assuming a Gaussian coil configuration, the corresponding target concentration is simply t*≃L/R3˜a−3L1/3ν, or, with ν=⅗, t*˜L−4/5, implying, for the target volume fraction, Φ*˜L−4/5. For targets of appreciable length, Φ* can be quite small: Φ*(L=1,000)=0.004. In the example, with a≃5 A, L=1,000, yields a radius of gyration, RG,T≃9L1/2≃9*33 A ≃300 A and a molecular volume, V=(4/3)πRG,T3≃300*106 A3; with 103 fmoles=1012 molecules, the volume occupied by target is VT≃0.3 μl and hence Φ=0.3/20≃0.015>Φ*. That is, in the example, the capture efficiency of the 1,000 nt Kanamycin transcript would be expected to be further diminished by target entanglement.
As necessary, an additional measure would be to perform multiple concurrent multiple probe, multiple primer-RT reactions to permit different degrees of initial mRNA dilution. Products would be pooled to perform detection in a single multiplexed reaction.
III.1.3 Differential Amplification—
Because it is governed by an affinity constant that approaches the sequence-dependent affinity constant, KSS, the dilute regime of operation generally will be the preferred regime of operation for detection of low-abundance messages. This is so particularly when the design of short cDNAs is difficult or impossible, as discussed herein in connection with the analysis of sets of closely homologous sequences. RT-PCR protocols may devised which limit PCR cycles to a small number, say 3-4, in order to bring the concentration of the lowest-abundance transcripts to the detectable range corresponding to the dilute regime.
Given the reduction in affinity constants in the concentrated regime, transcript amplification to concentrations exceeding the cross-over concentration will yield diminishing returns. That is, for a target of any given length, target amplification may produce a relatively smaller increase in signal in accordance with the length-dependent effective affinities governing transcript capture, particularly in the concentrated regime. Specifically, if high abundance transcripts are amplified into the regime of saturation, additional amplification will not translate into any additional gain in capture and hence detected signal. Unless taken into account in the assay design and the analysis of assay signals, this “saturation” effect can seriously distort the quantitative determination of target concentration.
However, if properly taken into account on the basis of the methods of the present invention, this scenario therefore lends itself to dynamic range compression by differential amplification in which the signal of low abundance messages is enhanced relative to that of high abundance messages undergoing the same number of amplification cycles and in the same multiplexed target amplification reaction.
Pools—
More generally, it may be desirable to equalize the concentrations of transcripts from high and low abundance messages—regardless of target length—within a preset narrow range of concentration. In this instance, it will be useful to split targets into two or more sets undergoing separate multiplexed target amplification reactions in order to be able to subject high abundance messages to a small number of amplification cycles while and to subject low abundance messages to a higher number of amplification cycles.
III.1.4 Labeling Density—
Operation in the dilute regime requires detection of a small number of captured transcripts, and this is facilitated by a high rate of incorporation of labeled dNTPs. In Examples described herein, a typical labeling density of 1:64 is achieved by a molar ratio of one labeled dCTP per eight unlabeled dCTPs. For a 150 nt transcript, this ratio implies nF(150nt)˜3, and correspondingly lower numbers for the shorter transcripts present in the mixture. In addition, more label can be added per unit length by adding more than one type of labeled dNTP during reverse transcription. For example, one can use biotin-dATP and biotin-dCTP both in a particular reaction mixture, which generates more label per unit length than either one alone. In an experiment (not shown) labeled biotin-dATP at a ratio of 1:6.25 relative to unlabeled dATP was added as a reagent in a reverse transcription reaction. Comparing to end-labeled cDNA controls, there were about 20 labeled nucleotides present on a 1,000 nucleotide (“nt”) Kanamycin cDNA.
More generally, differential labeling also provides a further method of equalizing the signal intensities produced by capture of transcripts differing in concentration. Preferably, this is accomplished by adjusting the number of labels incorporated into sets of transcripts in accordance with the respective known or anticipated levels of abundance as well as length. Preferably, a higher density of labeled dNTPs will be ensured in transcripts exceeding the length limit associated with the cross-over into the concentrated regime. In this instance, a higher labeling density will increase detection sensitivity by compensating for the lower effective affinities of such longer transcripts of which fewer will be captured to anchored probes as discussed herein. The calculation must of course take into account the fact that the average total number of labels per target is proportional to target length.
To accomplish differential labeling of transcripts, RT reactions can be carried out by separating the mRNA sample into two or more aliquots in different tubes (reaction chambers) such that, for example, in one reaction, only short transcripts are generated and in another, only long transcripts are generated and adjusting in each RT reaction the ratio of the labeled dNTPs to unlabeled dNTPs i.e., the higher the ratio, the more label included in the transcript.
III.2 Elongation-Mediated Sequence Specific Signal Amplification—
Sensitivity and Specificity—
Results obtained to date using these assay designs to produce short, labeled cDNAs demonstrate sensitivity sufficient to detect—without recourse to mRNA or cDNA amplification but taking advantage of a novel signal amplification method—labeled Kanamycin cDNA fragments, 50 nt-70 nt in length, at the level of one femtomole of material in a total reaction volume of 10 μl (
As set forth in Example VI and
Novel Signal Amplification Method—
To attain higher sensitivity, a method of (post-assay) signal amplification is disclosed which invokes sequence-specific probe elongation and subsequent decoration with a fluorescent probe to produce an enhancement in signal by an order of magnitude subsequent to cDNA capture. This elongation-mediated process (
In elongation, the 5′ end of the transcript hybridized to the probe is elongated only if there is a perfect match to the probe in this region. See U.S. application Ser. No. 10/271,602, filed Oct. 15, 2002, entitled; “Multiplexed Analysis of Polymorphic Loci by Concurrent Interrogation and Enzyme-Mediated Detection,” incorporated by reference.
First, Kanamycin mRNA (here, in a range of concentrations from 1 to 32 fmoles per 20 μl) is labeled, for example by incorporating Cy3-labeled dCTPs into the cDNA during the RT reaction. The labeled cDNA is captured to immobilized capture probes as described in connection with Examples III, IV and V and
In fact, as shown in
Under assay protocols described herein in various Examples, and using an embodiment in accordance with the READ format, the signal produced by capture of 50 nt-70 nt transcripts was readily detected without target amplification (but with signal amplification, as described herein)—at a level of signal to (uncorrected) background of 2:1—at a cDNA concentration of approximately 0.1 fmole per 10 μl of sample. This is sufficient for the detection of mRNA present at a frequency of 10-30 copies per cell, assuming the collection of mRNA from 107 Peripheral Blood Mononucleocytes per ml, as assumed in standard protocols (Lockhart, D. J., Dong, H., Byrne, M. C., Follettie, M. T., Gallo, M. V., Chee, M. S., et al., Nature Biotechnology 14: 1675-1680 (1996)).
III.3 Optimizing Specificity of Detection
The interaction of multiple transcripts with a set of immobilized sequence-specific detection probes is governed by a multiplicity of competing reaction equilibria and a corresponding set of co-affinities. These measure the strength of the interaction between a given probe in the set with all available target subsequences, and between any target subsequence and the set of detection probes. Interactions of a given target with any but its “cognate” capture probe has the potential to generate unwanted interference in the multiconstituent probe-target reaction kinetics and equilibria.
III.3.1. Optimizing Primer and Probe Selection
The risk of cross-reaction increases with transcript length and also increases with the number of transcripts in the reaction because the conditional probability of encountering a second subsequence which approximates a given first (“cognate”) subsequence increases with the total length of available target sequence. To enhance specificity of capture, several references of the prior art describe a strategy of “multi-dentate” capture using two or more probes directed to each anticipated target. However, in a multiplexed format of quantitative analysis, this strategy generally is not advisable, given that it not only increases the complexity of the probe array design but also increases the risk of cross-reactivity with each added probe.
In order to minimize cross-reactivity, it is therefore preferable to produce short transcripts by judicious placement of sequence-specific RT primers close to the 3′ end of the mRNA. Other aspects of assay design relating to certain entropic effects described herein likewise lead to this preference. Accordingly, the assay design techniques described herein are practiced by optimizing the selection of sequence specific RT primers as well as sequence-specific detection probes, preferably in accordance with the methods of the co-pending Application Ser. No. 60/487,451, supra.
The methods of the present invention take advantage of the a priori knowledge of the sequences and anticipated levels of abundance of the designated mRNAs of interest to select and place RT primers in specific regions of each mRNA in order to control the length and degree of labeling of the cDNA produced in the RT reaction. In some cases, it will be advantageous to place multiple RT primers on one or several of the mRNAs in the designated set and to analyze the corresponding cDNAs using multiple probes directed against different subsequences of these cDNAs. This is referred to herein as “Multiple Primer Multiple Probe” (mpmp) design, as described in the co-pending Application 60/487,451, supra. In some situations, it will be advantageous to perform the further step of amplifying the reverse transcripts prior to detection.
These methods of the invention relating to optimization of specificity are useful in numerous applications, exemplified by those in Example VII. They also were applied to the multiplexed analysis of a set of cytokine genes, described in detail in Example VIII and related
III.3.2. Enhancing Specificity by MultiProbe Detection
Combining hMAP and eMAP—
Another assay format of the invention is useful to detect members of gene families where the members of the families have subsequences, in relatively close proximity, of both: (i) significant differences in sequence, such as an insert of 3- or more nucleotides in some members, and (ii) substantial sequence homology, but with minor differences such as single nucleotide polymorphisms (SNPs). Because of the substantial sequence similarity, such sequences can be difficult to distinguish with a conventional hybridization assay given the substantial cross-hybridization.
To solve the problems posed by cross-hybridization, and reduce the cost, the members of the family can be discriminated, and respective abundances determined, by performing a combination of elongation and hybridization in a dual assay format, in which some probes hybridize to the transcripts representing regions with large differences, and other probes hybridize to the transcripts representing regions with small differences, wherein only the latter transcripts are detected using an elongation reaction. By a particular analysis of the results, the family members can be detected. That is, small differences between otherwise homologous sequences preferably are detected by performing a sequence-specific elongation reaction, thereby ensuring identification of members of a gene family while simultaneously using either the elongation reaction itself for the quantitative determination of message abundances (see III.2) or combining elongation with hybridization to ensure discrimination and quantitation.
In the simplest example, one has a family of members having one region of significant sequence differences (a section of 3 added bases) and one region with one SNP. Using the format described above, one would use four beads and two different transcript labels. As illustrated in
Following hybridization of a sample, one can analyze the array. Where red appears on beads hP1 or hP2, this indicates that the presence of to region P1 or P2, respectively, in the transcript. Where the transcript on the eP1 bead is elongated, as detected from the green label, this indicates capture of the eP1 normal (“wild type”) allele, and where the eP2 bead displays green, this indicates capture of the eP2 variant allele. Accordingly, one can readily detect the presence of transcripts with both regions, using only one elongation reaction, by analyzing patterns of hybridization and elongation. Families of mRNAs with more complex patterns of differences could be analyzed in the same manner, using the appropriate numbers of encoded beads and hybridization and elongation reactions.
III.3.2A. Concurrently Determining Expression Levels and Class of AU-Rich mRNAs
Messenger RNA (mRNA) turnover is involved in the transient response to infection and stress. In mammalian cells, most mRNAs undergo poly(A) shortening as the initial step in their decay. Adenylate uridylate (AU)-rich elements in 3′-untranslated regions (UTR) of mRNA is involved in effectively destabilizing mRNA molecules. Many mRNAs containing an AU-rich element (ARE) are highly expressed in disease states, and may function in selectively boosting or inhibiting gene expression during disease response. The core pentameric sequence of the ARE motif is AUUUA. AREs may contain several copies of dispersed AUUUA motifs, often coupled with nearby U-rich sequences or U stretches. A number of classes of AREs are currently known.
The method herein permits discriminating among the classes of AREs associated with particular unique mRNA subsequences, using probes which can detect the different unique subsequences but which can be labeled with a dye of one color (as opposed to needing multiple colors), and also of determining relative expression levels of unique mRNA subsequences associated with AREs. In this method, one first attaches several of types of probes to encoded beads, where each beads' encoding correlates with the probe-type attached. The probes are selected to hybridize to cDNA regions which are complementary to unique mRNA subsequences upstream of AREs and poly A tails. Samples of mRNA are reverse transcribed to cDNA using primers selected so as to reverse transcribe the ARE as well as the unique mRNA susequence upstream, and the transcripts are labeled and contacted with the probes on the beads under hybridizing conditions.
Following hybridization, as a step in quantitating the relative gene expression, one takes an assay image to show the labeled transcript associated with each encoded bead, and provide an overall image of the labeled transcript in the array. As a step in discriminating among ARE classes, the probes on the beads which have hybridized with a cDNA are elongated under conditions whereby the newly elongated product (which is attached to an encoded bead) will include a portion corresponding to the ARE. This is done by adding all four types of dNTPs in large excess, so that a relatively long probe elongation can take place. An assay image is then recorded for identification of the probe/transcript type on different beads.
The transcript is then denatured from the elongated probe, for example by heating, and the bead/probe is contacted, in sequence, with labeled probes of one sequence, from a library of probes complementary to various classes of AREs. These “ARE probes” can all be labeled with the same dye, because they are used in succession, rather than being added to the same assay mixture. Upon decoding, following hybridizing the ARE probes, the ARE class which is associated with each bead, and therefore each unique gene sequence, can be determined. The process is shown schematically in
The relative expression level of the unique gene sequences in vivo can be determined at various points in time, based on the relative signal from the labeled transcripts as determined at such points in time. Such a determination can be useful in monitoring whether certain gene sequences associated with AREs, and thus often with disease conditions, are up or down regulated over time.
III.3.2B. Discrimination of Closely Homologous Sequences: Inbred Strains of Maize
Certain applications such as those discussed herein in greater detail call for the detection of specific targets within an ensemble of hundreds or thousands of targets displaying substantial sequence homology with the target(s) of interest. These circumstances generally will require a degree of sequence-specificity beyond that afforded by hybridization. Certain aspects relating to the selection of suitable primer and probe sets are discussed in detail in co-pending provisional application Ser. No. 60/487,451, supra. Here we disclose several specific array designs and assay protocols which invoke combinations of sequence-specific sequence conversion by reverse transcription and/or amplification as well as multiplexed detection by hybridization (hMAP) and/or elongation (eMAP). Several specific instances are now described to illustrate these assay designs and methodologies of the present invention.
Interrogation of Elongation Products Using Hybridization Probes—
Another assay format of the invention is useful to detect closely homologous members of gene families by a sequence of elongation-mediated detection to discriminate a first subset of genes from a second subset of genes, only the first subset being capable of forming an elongation product which may be detected by incorporating therein a detection label of a first color. Members within the first set may then be further discriminated by the identification of a specific subsequence in the elongation product, this identification involving a hybridization probe modified with a detection label of a second color. Details of this method, previously disclosed in connection with “phasing” of polymorphisms are described in pending U.S. application Ser. No. 10/271,602, filed Oct. 15, 2002, entitled: “Multiplexed Analysis of Polymorphic Loci by Concurrent Interrogation and Enzyme-Mediated Detection,” and are further described in Example IX with reference to
III.4 Subtractive Differential Analysis Using Single Color Detection
In one particular assay format of the invention, subtractive hybridization is used to determine differential expression of different mRNAs (
In both samples, mRNAs are first reverse transcribed to produce sense cDNAs, respectively denoted cDNAN and cDNAV. The RT primer used for reverse transcription of one, but not the other sample, is modified with a tag permitting subsequent strand selection. Following reverse transcription, the sample containing the tagged primer, say the normal sample, is transcribed to produce ccDNAN, that is, a strand of DNA that is complementary to cDNAN; the latter is enzymatically digested.
Next, cDNAV and ccDNAN are combined under conditions permitting the annealing of these mutually complementary single strands to form a duplex. This step removes (“subtracts”) that amount of DNA that is equal in both samples. Underexpression of one or more designated genes in the V-sample leaves the corresponding excess in the N-sample, and conversely, overexpression of one or more designated genes in the V-sample leaves the corresponding excess in the V-sample. The excess of single stranded DNA is detected using pairs of encoded “sense” and “antisense” probes, one matching cDNAV the other matching ccDNAN. Preferably, sets of sense and anti-sense probes are displayed on encoded microparticles (“beads”) forming a random encoded array.
The combined sample is placed in contact with the set of sense and antisense probes and hybridized transcripts are detected, for example, by recording from the set of beads fluorescence signals produced by captured transcripts which may be fluorescently labeled by incorporation of fluorescent RT primers or by incorporation of labeled dNTPs. For each pair of sense and antisense probes, the difference in the intensities indicates the sign and amount of the excess in the corresponding transcript. Significantly, in contrast to standard methods of ratio analysis, only a single color is required here.
IV. Generic Disclosure
Random Encoded Array Detection (READ)—
The method of multiplexed quantitative detection preferably employs an array of oligonucleotide probes displayed on encoded microparticles (“beads”) which, upon decoding, identify the particular probe displayed on each type of encoded bead. Preferably, sets of encoded beads are arranged in the form of a random planar array of encoded microparticles on a planar substrate permitting examination and analysis by microscopy. Intensity is monitored to indicate the quantity of target bound per bead. The labels associated with encoded beads and the labels associated with the transcripts bound to the probes in the array are preferably fluorescent, and can be distinguished using filters which permit discrimination among different hues. This assay format is explained in further detail in U.S. application Ser. No. 10/204,799, filed Aug. 23, 2002, entitled: “Multianalyte molecular analysis using application-specific random particle arrays,” hereby incorporated by reference.
Libraries of Probe-Functionalized Encoded Microparticles (“Beads”)—
The particles to which the probes are attached may be composed of, for example, plastics, ceramics, glass, polystyrene, methylstyrene, acrylic polymers, paramagnetic materials, thoria sol, carbon graphite, titanium dioxide, latex or cross-linked dextrans such as sepharose, cellulose, nylon, cross-linked micelles and Teflon. (See, e.g., “Microsphere Detection Guide” from Bangs Laboratories, Fishers, Ind.). The particles need not be spherical and may be porous. The particle sizes may range from nanometers (e.g., 100 nm) to millimeters (e.g., 1 mm), with particles from about 0.2 micron to about 200 microns being preferred, with particles from about 0.5 to about 5 microns being more preferred.
Particles are encoded so as to be correlated with the sequence-specific bead-displayed probes that are placed on the surface of the particles by a chemically or physically distinguishable characteristic, for example fluorescence, uniquely identifying the particle. Chemical, optical, or physical characteristics may be provided, for example, by staining beads with sets of optically distinguishable tags, such as those containing one or more fluorophore or chromophore dyes spectrally distinguishable by excitation wavelength, emission wavelength, excited-state lifetime or emission intensity. The optically distinguishable tags may be used to stain beads in specified ratios, as disclosed, for example, in Fulwyler, U.S. Pat. No. 4,717,655. Staining may also be accomplished by swelling particles in accordance with methods known to those skilled in the art, (See, e.g., Molday, Dreyer, Rembaum & Yen, J. Mol Biol 64, 75-88 (1975); L. Bangs, “Uniform latex Particles, Seragen Diagnostics, 1984). Using these techniques, up to twelve types of beads were encoded by swelling and bulk staining with two colors, each individually in four intensity levels, and mixed in four nominal molar ratios. Alternatively, the methods of combinatorial color encoding described in International Application No. PCT/US 98/10719 (incorporated herein by reference) may be used to endow the bead arrays with optically distinguishable tags.
Probes—
A set of sequence-specific probes, known as a “capture probe set”, is used in the assay. Each member of a capture probe set is designed—preferably using methods of the co-pending provisional application entitled “Hybridization-Mediated Analysis of Polymorphisms (hMAP),” filed May 17, 2004, Ser. No. 10/847,046—to have a unique complementary region with one “cognate” cDNA target molecule. As explained above, the length of the complementary region of each member of a capture probe set may be different in order to tailor the binding affinity.
These oligonucleotide probes may be synthesized to include, at the 5′ end, a biotinylated TEG spacer for attachment to microparticles functionalized by attachment of Neutravidin, or an aminated TEG spacer (Synthegen TX) for covalent attachment to the functionalized surface of particles, using carboxylated beads and an EDAC reaction.
Reverse Transcription—
The total RNA used for these assays is isolated and reverse transcribed to cDNA, and the cDNA molecules are added in the presence of a solution containing dNTPs, or ddNTPS, and DNA polymerase to elongate the cDNA on those probes on which the 5′ end of the target and the complementary sequence on the probe are perfectly matched. The dNTP/ddNTP mixture contains at least one labeled dNTP or ddNTP, in order to incorporate fluorescent label in the elongated target. The cDNA target molecules of the assay are fluorescently labeled as described herein, and the density of the fluorescently labeling (e.g., the degree of incorporation of fluorescently labeled dNTPs) of the cDNA target molecules may vary, depending on whether the expression level of the corresponding mRNA is expected to be high or low. In addition, the region the probe binds to on the transcript affects the hybridization pattern; i.e., it is easier for probes to bind to the ends. Details are described in several Examples below.
Methods of Array Assembly—
To produce a custom array containing a specific probe combination, the encoded, probe-decorated beads are pooled together and assembled into arrays. Many different methods of assembling arrays are possible, including a technique known as LEAPS™ (Light-Controlled Electrokinetic Assembly of Particles Near Surfaces, described in U.S. Pat. No. 6,251,691 which is hereby incorporated by reference). In LEAPS™, the bead arrays are prepared by first providing a planar electrode that is substantially parallel to a second planar electrode (in a “sandwich” configuration), with the two electrodes being separated by a gap, where in the gap is a polarizable liquid medium, such as an electrolyte solution. The surface or the interior of the second planar electrode is patterned to create areas of lowered impedance. The beads are then introduced into the gap. When an AC voltage is applied to the gap, the beads form a random encoded array on the second electrode, in accordance with the patterning, or, in the alternative, in accordance with an illumination pattern on the second electrode. The resulting arrays can exhibit a very high feature density. Alternative methods of assembly of particle arrays are described in U.S. application Ser. No. 10/192,352, filed Jul. 9, 2002, entitled: “Arrays of Microparticles and Methods of Preparation Thereof.”
Decoding Image—
In an assay of the invention, the population of particles is encoded with a distinct chemical or physical characteristic that allows the type of particle to be determined before and after the assay. For decoding, a decoding image of the assembled array is taken, prior to the assay or subsequent to the assay, to record the spatial distribution of encoded particles in the array and hence the spatial distribution of the members of the capture probe set.
Optical Signatures and Assay Images—
To facilitate detection of captured targets, cDNA molecules are fluorescently labeled by incorporation, during reverse transcription, of labeled dNTPs at a preset molar ratio, the total amount of incorporated dNTP varying with the length of the (reverse) transcript. Instead of, or in addition to, hybridization-mediated capture, the assays of the invention also include elongation-mediated detection; cDNA molecules are added in the presence of a solution containing dNTPs, or ddNTPS, and DNA polymerase to elongate the cDNA on those probes whose 3′ end is complementary to the captured target. The dNTP/ddNTP mixture contains at least one labeled dNTP or ddNTP, in order to incorporate fluorescent label in the elongated probe.
The labels associated with the encoded beads and the labels associated with the transcripts bound to the probes in the array are preferably fluorescent, and can be distinguished using filter combinations which permit discrimination among different excitation and emission wavelengths and hence combinations of base colors that are combined in multiple combinations. In accordance with the preferred embodiment of READ, beads are assembled into planar arrays that can be readily examined and analyzed using, for example, a microscope. The intensity of an optical signature produced in the course of capturing and analyzing targets is monitored to indicate the quantity of captured target.
Recording of Decoding and Assay Images—
A fluorescence microscope is used to decode particles in the array and to detect assay signals from the array of probe-captured cDNA molecules. The fluorescence filter sets in the decoder are designed to distinguish fluorescence produced by encoding dyes used to stain particles, whereas other filter sets are designed to distinguish assay signals produced by the dyes associated with the transcripts/amplicons. A CCD camera may be incorporated into the system for recording of decoding and assay images. The assay image is analyzed to determine the identity of each of the captured targets by correlating the spatial distribution of signals in the assay image with the spatial distribution of the corresponding encoded particles in the array.
Assay—
Either prior to, or subsequent to decoding, the array of encoded particles is exposed to the cDNA target molecules under conditions permitting capture to particle-displayed probes. After a reaction time, the array of encoded particles is washed with 1×TMAC to remove remaining free and weakly annealed cDNA target molecules. Instead of or in addition to hybridization assays, the assays of the invention include elongation-based detection.
An assay image of the array is then taken to record the optical signal of the probe-cDNA complexes of the array. Because each type of particle is uniquely associated with a sequence-specific probe, combination of the assay image with the decoding image, recorded, for example, prior to performing the assay, permits the identification of annealed cDNA molecules whose respective abundances—relating directly to the abundances of the corresponding original mRNA messages—are determined from the fluorescence intensities of each type of particle.
The examples below provide further details regarding the making and using of the invention.
Synthetic DNA polynucleotide targets varying in length from 25-mers to 175-mers, were synthesized (by IDT, Madison, Wis.), and each of the larger targets contained the smaller target as an interior subsequence. All the targets were labeled with Cy5 fluorescent label at the 5′ end. Amine-modified (5′ end) oligonucleotide probes, varying in length from 15 nt to 35 nt, were also synthesized (IDT, Madison, Wis.). The detailed sequence information is shown in Table I-1.
The probes were covalently linked to encoded tosylated microparticles using an EDAC reaction, as is well known in the art. A precalculated amount of each of the synthetic targets was taken from a 10 μM stock solution of the target in de-ionized water, and was diluted with 1×TMAC (4.5 M tetramethyl ammonium chloride, 75 mM Tris pH 8.0, 3 mM EDTA, 0.15% SDS) to a desired final concentration. One or more of the probe types listed in TableI-1 were functionalized with fluorescent microparticles and were then assembled into planar arrays on silicon substrates. Twenty microliters of the synthetic target was added to the substrate surface and the substrate was placed in a 55° C. heater for 20 minutes. The slide was then removed from the heater and the target solution was aspirated. The substrate was washed thrice with 1×TMAC at room temperature. Following this, 10 μl of 1×TMAC was placed on the substrate surface, covered with a glass cover-slip and the fluorescence intensity of the array was recorded.
Experiments were performed with commercially available QuantiBRITE™ PE Phycoerythrin Fluorescence Quantitation kit from Becton-Dickinson, Franklin Lakes, N.J. The kit consists of 6.6 μm polymer beads, conjugated with known number of Phycoerythrin (PE) molecules on the surface. For quantitative analysis of the fluorescent intensity associated with the beads, random planar arrays of the beads were assembled on the surface of a silicon wafer. The fluorescent intensity from the PE fluorophores on the particle surface was then monitored as a function of varying number of surface conjugated PE fluorophores (data supplied by manufacturer) using a standard fluorescent microscope fitted with an appropriate fluorescence filter and a CCD camera. In this study, a Nikon Eclipse E-600FN epifluorescence microscope equipped with 150 W xenon-arc lamp was used for measurements. A Nikon 20×0.75 NA air objective, and a R&B PE Filter cube (Chroma Technology Corp., Battleboro, Vt.) was used for the measurements. Images were recorded with a cooled 16 bit CCD camera (Apogee Instruments Inc.). The exposure/integration time for the experiment was 500 ms. User interfaced programs for collection and analysis of images were developed using MATLAB™ which was run on a PC. The results are shown in
The fluorescent properties of R-phycoerythrin and 2 common CY dyes are compared in the following Table I-3.
Hence one PE molecule is equivalent to ˜60 Cy3 molecules or ˜20 Cy5 molecules. Accordingly, the anticipated detection threshold for the Cy3 is ˜60 molecules/um2 and for Cy5˜20 molecules/um2. A 2 um particle has a surface area of ˜12.5 um2 and would hence need 750 molecules of Cy3/particle for detection and 250 molecules of Cy5/particle for detection. The corresponding numbers for a 3 micron particle are 1700 for Cy3 and 600 for Cy5. Hence, a conservative estimate of the detection sensitivity using Cy dyes (for 2-3 micron particles) is ˜1000 fluorophores/particle.
In the same way as discussed above the slope of the curve can also be used as an approximate conversion factor (when using dyes other than PE) for converting recorded raw intensities back to number of molecules/um2 and with the knowledge of the bead size, then to the number of fluorophores/bead.
A typical experimental protocol for multiplexed expression monitoring is as follows. A protocol establishing optimized conditions in accordance with the methods of the present invention is described below. The entire protocol including signal amplification in accordance with the methods of the present invention is completed in less than three hours (see
Step 1—Total RNA is isolated from a blood or tissue sample using Qiagen silica-gel-membrane technology. DNA oligonucleotides with a sequence complementary to that of mRNAs of interest are added to the preparation to prime the reverse transcription of the targeted mRNAs into cDNAs.
Step 2—The solution containing mRNAs is heated to 65° C., typically for a period of 5 minutes, to facilitate annealing of primers to denatured mRNAs, following which the solution is gradually cooled to room temperature at a typical rate of 2° C./min. Reverse transcriptase (for example Superscript III, Contech) along with fluorescently labeled dNTPs (at a typical molar ratio of 1:8, labeled to unlabeled dCTP) are added to initiate the RT reaction. After synthesis of labeled cDNAs, RNA templates are digested using RNase.
Step 3—Fluorescently labeled cDNAs are permitted to anneal, in 1×TMAC buffer at 50° C. for 30 minutes, to arrays of color-encoded microparticles displaying DNA oligonucleotide capture probes on silicon chips (
As necessary, signal amplification in accordance with the methods of the present invention may be performed as described herein.
Capture probe sequences are designed to be complementary to the 3′ regions of individual cDNAs in the mixture. The optimization of capture probe sequences for use in the multiplexed analysis of cDNAs is described in greater detail in the co-pending application Ser. No. 10/892,514 entitled: “Concurrent Optimization in Selection of Primer and Capture Probe Sets for Nucleic Acid Analysis,” filed Jul. 15, 2003. Arrays are prepared as described herein. Step 4—The resulting pattern of fluorescence is recorded in the form of a fluorescence image by instant imaging (typically using integration times less than 1 second) on an automated Array Imaging System as described in greater detail in U.S. Provisional application Ser. No. 10/714,203 entitled: “Analysis, Secure Access to, and Transmission of Array Images”
filed Nov. 14, 2003. Manually operated fluorescence microscopy also may be used. From the assay image quantitative intensities are determined by analysis of the assay image as described herein and described in greater detail in the Ser. No. 10/714,203.
An mpmp-RT design comprising six Cy3-modified RT primers and multiple microparticle-displayed capture probes was used, in a single reaction for each of a series of solutions of successively lower Kanamycin concentrations, in accordance with a 1:2 serial dilution. A mixture of fragments varying from 79 nt to 150 nt in size, incorporating into each fragment Cy-3 modified dCTP at an average molar ratio of 1:16 of labeled to unlabeled dCTP and hence at an average labeling density of 1:64, was produced.
Using an mpmp-RT design comprising either one or two Cy3-modified RT primers and microparticle-displayed capture probes, RT reactions were performed on each of a series of Kanamycin mRNA solutions of successively lower concentrations, spanning a range from 25 nM to ˜50 pM. Specifically, three combinations of RT primers and capture probes were tested to produce and analyze cDNA fragments of 70 nt and/or 50 nt in size. The Cy3 labeling density of the transcripts was also doubled—from 1:64 to 1:32—by incorporating into each fragment Cy-3 modified dCTP at an average molar ratio of 1:8 of labeled to unlabeled dCTP. Using Cy3-labeled RT primers, each 50 nt transcript will on average contain 2-3 Cy3 labels.
Having established target configurational entropy as a critical factor affecting the sensitivity of cDNA detection, it was then confirmed in several assay designs that a further reduction in transcript length from 150 nt to ˜50 nt, along with a doubling of the Cy3 labeling density of transcripts obtained from a 1,200 nt Kanamycin model mRNA, produced a further enhancement in assay signal by the anticipated factor of ˜5, corresponding to a detection limit of ˜50 pM.
Significantly, closely comparable results—including the critical role of target entropy—were obtained with a mixture of 8 unknown mRNAs into which the Kanamycin mRNA was “spiked” at molar ratios varying from ˜1:12 to ˜1:6,200, respectively, corresponding to Kanamycin concentrations of 25 pM and 50 pM and an mRNA “background” of 300 nM. The results of these model assays indicate sufficient sensitivity and specificity to detect a specific message in the presence of other mRNA molecules at an abundance as low as ˜3-5 copies per cell.
To test the predictions in Example III, namely that a further reduction in transcript length from ˜150 nt to ˜50 nt would produce a further enhancement in assay signal, mpmp-RT reactions were designed to generate 50 nt and/or 70 nt transcripts. Having demonstrated the enhancement in assay signal arising from the use of “5′-end-directed” capture probes (see Example III), capture probes were designed so as to target a subsequence near the transcript's 5′ terminus.
Optimization of Assay Protocol—
In order to further improve assay sensitivity and dynamic range further, assay conditions were optimized. Specifically, RT primer concentrations in the Kanamycin mRNA titrations were reduced 25-fold (from 50 μM to 2 μM) and hybridization time was reduced by half (from 30 min to 15 min at 50° C.).
This protocol modification not only avoids saturation of the detector at the highest target concentration of ˜500 pM (
To further improve upon assay performance of the mpmp-RT design reported in Example III, the Reverse Transcription (RT) protocol was optimized for 50 nt kanamycin transcripts—the best performer—by performing RT reactions under stringent temperature control. Using a programmable temperature profile in a thermocycler, the improved protocol for RT reactions in conjunction with stringent RT primer annealing and transcription conditions, an enhancement of fluorescence signal intensities by a factor of 2-3 was obtained (
Specifically, RT reactions, configured as described in Example III, were performed in a thermocycler (Perkin-Elmer) ti implementing the following temperature profile:
Hybridization conditions were: incubation for 15 minutes at 50° C. in 1×TMAC, followed by 3 subsequent wash steps with the same buffer, each simply involving exchange of the 20 μl volume in contact with BeadChips by fresh buffer.
This 2-step protocol enforcing stringent RT conditions produced an enhancement in the specific fluorescence signal while leaving non-specific background signal comparable to that obtained earlier (“Protocol 2”), thus improving the signal to noise ratio of the assay about 2-fold.
To further evaluate the level of specificity attainable in detecting a specific mRNA in the complex environment typical of a clinical human sample enriched with multiple RNA messages, an additional series of “spiking” experiments were performed by replacing the background of unknown total RNA of bacterial origin by total RNA from Human Placenta (Ambion). Total Human Placental RNA more realistically simulates conditions typically encountered in the determination of expression patterns of particular RNA species such as human interleukins and other cytokines in clinical samples.
Aliquots of Kanamycin mRNA, ranging in concentration from ˜12.5 nM to ˜50 pM, were spiked into solutions of total Human Placental RNA diluted to 100 ng/ul, corresponding to a concentration of ˜300 nM. That is, the molar ratios of specific to non-specific mRNA ranged from 1:24 to 1:6,200. At each of eight ratios—including a no-target control—an RT reaction was performed separately under optimized assay conditions.
The results (
Given the critical importance of specificity in multiplexed gene expression profiling, the previously reported Kanamycin “spiking” experiments to a pool of human placental RNAs was extended in order to simulate conditions relevant to clinical samples. The results are essentially identical in terms of specificity and sensitivity to those previously reported for spiking of in-vitro transcribed RNAs of bacterial origin, suggesting that the combination of producing short RT transcripts, directing capture probes to regions near the transcript's 5′-end and performing RT and hybridization under stringent conditions enhances specificity. Randomly primed RT transcripts generally will exceed the length of specific RT transcripts, providing the latter with a significantly entropic advantage in capture to immobilized probes.
The critical role of target entropy was again apparent under the optimized RT conditions. Thus, the biphasic plots in
The assay formats described herein can be used for diagnosis and can, in certain cases, be used in connection with providing treatment.
Leukemia—
For example, International Application No. WO 03/008552 describes diagnosis of mixed lineage leukemia (MLL), acute lymphoblastic leukemia (ALL), and acute myellgenous leukemia (AML) according to the gene expression profile. These assay formats can also be used to analyze expression profiles of other genes, such as for Her-2, which is analyzed prior to administration of Herceptin™. The gene expression profile could also be useful in deciding on organ transplantation, or in diagnosing an infectious agent. The effect of a drug on a target could also be analyzed based on the expression profile. The presence of certain polymorphisms in cytokines, which can indicate susceptibility to disease or the likelihood of graft rejection, also can be analyzed with the format described herein. Other examples for the application of the methods of the invention include such the analysis of the host response to exposure to infectious and/or pathogenic agents, manifesting itself in a change of expression patterns of a set of designated genes
ADME Panel—
Adverse drug reactions have been cited as being responsible for over 100,000 deaths and 2 million hospitalizations in one year in the USA. Individual genetic variation is responsible for a significant proportion of this. However, the indirect method of detecting genetic variation as a result of drug therapies is to monitor gene expression levels of the specific biomarkers.
The described methodology in Example 1 can be expanded to drug metabolism-associated genetic markers with approximately 200 genes that regulate drug metabolism. These important markers are available in flexible, customizable ADME (absorption-distribution-metabolism-excretion/elimination) panels. The first ADME panel is based on cytochrome P450, a super-family of 60 genes that govern many drug-metabolizing enzymes.
The new standard in multiplexed gene expression monitoring using BeadChips offers unprecedented accuracy, sensitivity and specificity. For instance, hMAP method followed by eMAP (elongation reaction) was applied to discrimination of closely related sequences of cytochrome P 450 gene family, namely, CYP 450 2B1 and 2B2. The established methodology on BeadChips allows to specifically measure 2-fold changes in gene expression levels of 96% homologous sequences in a highly multiplexed assay format.
Preparation of Nine (9) Human Cytokine In-Vitro Transcripts—
To initiate the development of a custom BeadChip for multiplexed gene expression profiling of a clinically relevant panel of markers, we have designed a control system of nine (9) human cytokine mRNA targets, listed in Table III-1.
Full-length cDNA clones of seven cytokines (IL-2, -4, -6, -8, -10, TNF-α and IFN-γ) and two endogenous controls (GAPDH, Ubiquitin) were characterized by sequencing and recovered in the form of plasmid DNAs containing specific cytokine cDNA inserts in pCMV6 vector (OriGene Technologies, MD). PCR primers to the cloning vector sequence were designed to amplify all cDNAs with a standard primer pair, thus eliminating the substantial cost of target-specific PCR amplification. Positioning of the Forward PCR primer upstream of the T7 promoter sequence—located next to the cloning site of every cytokine insert (cDNA)—enables T7 in-vitro transcription of only the specific cDNA sequence located at the 5′-end of the target of interest. Following in-vitro transcription (MegaScript, Ambion), templates were characterized for purity in agarose gel using SybrGreen staining; DNA concentrations were determined by optical absorption following 200-fold dilution.
Next, a multiplexed RT reaction was performed using a set of nine gene-specific RT primers to produce a pool of nine Cy3-labeled cDNAs, according to the optimized protocol we developed for Kanamycin. Specifically, we applied our empirical design rules (see below) to select RT primers so as to produce cDNAs 50 nt to 70 nt in length while minimizing cross-hybridization. This pool of cDNAs was placed, without any purification, onto a BeadChip containing eleven types of encoded beads displaying specific capture probes designed for the set of seven cytokine cDNAs as well as two endogenous positive controls and two negative controls, namely a oligo-C18 and Kanamycin.
First results based on the empirical design rules for primer/probe selection demonstrated the ability of Random Encoded Array Detection (READ) format of multiplexed analysis to determine expression levels of multiple designated cytokine genes. However, two mRNA targets in 9-plex assay were detected with the signal intensity close to the marginal threshold of unspecific background signal, as a result of cross-reactive binding of the corresponding RT primers to other mRNA targets in a complex sample pool. These results indicated an urgent need in the further optimization of primer/probe design rules involving user-friendly computational tools based on the mathematical algorithms which we disclosed above.
Using the second version of our design rules for RT primer and capture probe selection, we have re-designed 11 sets of capture probes with the corresponding reverse transcription primers specific for each mRNA of interest (Table III-1). To increase specificity of hybridization reactions between RT primers and targets, we also extended length of primer sequences to ˜20 nucleotides in length. Based on calculated melting temperatures for the re-designed RT primers and capture probes, we performed the RT reaction with a higher stringency than earlier, using a 2-step profile, starting with RNA denaturation at 70° C. for 5 min, followed by primer annealing and extension at 52° C. for 60 min. On chip hybridization was performed at 57° C.—an average Tm of the nine re-designed probes.
Next, a multiplexed RT reaction was performed on 9 in vitro transcribed RNAs, containing 32 femtomoles of each message, using a set of nine gene-specific RT primers to produce a pool of nine Cy3-labeled cDNAs in accordance with the 2-step temperature incubation protocol we optimized as discussed above. Specifically, we applied our computational design rules (see Report IV) to select RT primers so as to produce cDNAs from 60 nt to 200 nt in length while minimizing cross-hybridization (see above).
This pool of directly labeled Cy3-cDNAs, containing 16 femtomoles of each added mRNA, was placed, without any purification, onto a BeadChip containing eleven types of encoded beads displaying specific capture probes designed for the set of seven cytokine cDNAs as well as two endogenous positive controls and two negative controls, namely a oligo-C18 and Kanamycin. The results presented in
Homo sapiens
Homo sapiens
Homo sapiens
Homo sapiens
Homo sapiens
Homo sapiens
Homo sapiens
Homo sapiens
Homo sapiens
In the two inbred maize lines B73 and BSSS53, certain mRNA sequences of the zein gene display a degree of 95% to 99% homology over the entire 945 nt of the sequence.
The task of detecting these sequences and estimating their respective expression levels with current methods is a very laborious process, requiring of sequencing large sets of clones. A combination of elongation-mediated and hybridization-mediated detection methodologies is useful in discriminating between highly homologous sequences of mRNAs, while simultaneously determining respective abundances of these messages in a highly parallel format of analysis. The detection assay was performed as follows.
First, the RT reaction was performed on the processed total RNA samples using specific RT primer (highlighted in yellow) to convert mRNAs of interest into Cy3-labeled cDNAs. Seven cDNA targets were hybridized on a BeadChip to a perfectly matched capture/elongation probe. The probes are designed such that the 3′-end of each probe aligns with each unique polymorphic position in the targets. The matched hybridized probes were elongated using TAMRA-labeled dCTP. Therefore, elongated probes would emit a fluorescent signal.
A more complicated case of sequence discrimination, involving two sequences having a common mutation, but only one having a second specific mutation is illustrated in
Step 1: Probe 16, with T at the 3′-end, was immobilized on bead type 1 and placed under annealing conditions in contact with a pool of 7 amplified gene transcripts. Elongation following hybridization discriminated two genes, 16 and 31, from the other sequences in the pool, as detected by the TMRA fluorescence from beads carrying the probes. Simultaneously, probe 31, with C at the 3′-end, was immobilized on another bead type and placed in hybridizing conditions with a pool of 7 amplified gene transcripts. An elongation reaction followed hybridization, and gene 31 was detected by TMRA fluorescence from a particular encoded bead type.
Step 2: The next stage of the assay is removal of the target 16 from the elongated probe 16, by a denaturation reaction at 95° C.
Step 3: The single-stranded elongated probe 16 is then hybridized with a short Cy5-labeled detection probe 16 at the melting temperature of the duplex formation (Tm=49° C.) using a matched probe with C in the middle of the sequence. If hybridization at the indicated melting temperature (Tm) occurs, and therefore Cy5 fluorescence is detected on beads of type 1, this indicates that gene 16 is present in the pool. Thus, in this design, a TMRA signal recorded from the bead type carrying probe 31 confirms the presence of gene31 and a TMRA signal recorded with subsequent Cy5 signal from the bead type carrying probe 16 confirms the presence of gene 16.
It should be understood that the terms, expressions and examples used herein are exemplary only and not limiting and that the scope of the invention is defined only in the claims which follow, and includes all equivalents of the subject matter of the claims. All steps in method claims can be performed in any order, including that set forth in the claims, unless otherwise stated in the claims.
This application is a continuation of U.S. application Ser. No. 12/480,215, filed Jun. 8, 2009, now U.S. Pat. No. 8,795,960 issued on Aug. 5, 2014, which is a continuation of U.S. application Ser. No. 10/974,036 filed Oct. 26, 2004, now U.S. Pat. No. 7,563,569 issued on Jul. 21, 2009, which claims priority to U.S. Provisional Application Ser. No. 60/516,611, filed Oct. 28, 2003, and 60/544,533, filed Feb. 14, 2004, the contents of each application being incorporated by reference in its entirety.
Agencies of the United States government may have certain rights in this application, as certain work was performed under a DARPA contract.
Number | Name | Date | Kind |
---|---|---|---|
3329638 | Blyth | Jul 1967 | A |
3574614 | Carreira | Apr 1971 | A |
3790492 | Fulwyler | Feb 1974 | A |
3957741 | Rembaum et al. | May 1976 | A |
3982182 | Hogg | Sep 1976 | A |
3989775 | Jack et al. | Nov 1976 | A |
3998525 | Giglia | Dec 1976 | A |
4003713 | Bowser | Jan 1977 | A |
4046667 | Goetz | Sep 1977 | A |
4055799 | Coster et al. | Oct 1977 | A |
4075013 | Ward et al. | Feb 1978 | A |
4102990 | Uzgiris | Jul 1978 | A |
4140937 | Vecht et al. | Feb 1979 | A |
4143203 | Rigopulos et al. | Mar 1979 | A |
4199363 | Chen | Apr 1980 | A |
4258001 | Pierce et al. | Mar 1981 | A |
4267235 | Rembaum et al. | May 1981 | A |
4275053 | Rosenfield et al. | Jun 1981 | A |
4326008 | Rembaum | Apr 1982 | A |
4336173 | Ugelstad | Jun 1982 | A |
4339337 | Tricot et al. | Jul 1982 | A |
4358388 | Daniel et al. | Nov 1982 | A |
4383529 | Webster | May 1983 | A |
4421896 | Dorman | Dec 1983 | A |
4456513 | Kawai et al. | Jun 1984 | A |
4459378 | Ugelstad | Jul 1984 | A |
4487855 | Shih et al. | Dec 1984 | A |
4497208 | Oja et al. | Feb 1985 | A |
4499052 | Fulwyler | Feb 1985 | A |
4575407 | Diller | Mar 1986 | A |
4591550 | Hafeman et al. | May 1986 | A |
4602989 | Culkin | Jul 1986 | A |
4613559 | Ober et al. | Sep 1986 | A |
4647544 | Nicoli et al. | Mar 1987 | A |
4654267 | Ugelstad et al. | Mar 1987 | A |
4663408 | Schulz et al. | May 1987 | A |
4665020 | Saunders | May 1987 | A |
4672040 | Josephson | Jun 1987 | A |
4679439 | Culkin | Jul 1987 | A |
4680332 | Hair et al. | Jul 1987 | A |
4702598 | Böhmer | Oct 1987 | A |
4717655 | Fulwyler | Jan 1988 | A |
4753775 | Ebersole et al. | Jun 1988 | A |
4774189 | Schwartz | Sep 1988 | A |
4774265 | Ugelstad et al. | Sep 1988 | A |
4791310 | Honig et al. | Dec 1988 | A |
4795698 | Owen et al. | Jan 1989 | A |
4806313 | Ebersole et al. | Feb 1989 | A |
4806776 | Kley | Feb 1989 | A |
4822746 | Walt | Apr 1989 | A |
4824941 | Gordon et al. | Apr 1989 | A |
4829101 | Kraemer et al. | May 1989 | A |
4832814 | Root | May 1989 | A |
4851331 | Vary et al. | Jul 1989 | A |
4873102 | Chang et al. | Oct 1989 | A |
4891324 | Pease et al. | Jan 1990 | A |
4911806 | Hofmann | Mar 1990 | A |
4920056 | Dasgupta | Apr 1990 | A |
4994373 | Stavrianopoulos et al. | Feb 1991 | A |
4996265 | Okubo et al. | Feb 1991 | A |
5002867 | Macevicz | Mar 1991 | A |
5015452 | Matijevic | May 1991 | A |
5028545 | Soini | Jul 1991 | A |
5073498 | Schwartz et al. | Dec 1991 | A |
5075217 | Weber | Dec 1991 | A |
5091206 | Wang et al. | Feb 1992 | A |
5105305 | Betzig et al. | Apr 1992 | A |
5114864 | Walt | May 1992 | A |
5126239 | Livak et al. | Jun 1992 | A |
5128006 | Mitchell et al. | Jul 1992 | A |
5132097 | Van Deusen et al. | Jul 1992 | A |
5132242 | Cheung | Jul 1992 | A |
5143853 | Walt | Sep 1992 | A |
5143854 | Pirrung et al. | Sep 1992 | A |
5147777 | Sutton et al. | Sep 1992 | A |
5155044 | Ledis et al. | Oct 1992 | A |
5173159 | Dutertre | Dec 1992 | A |
5185066 | Golias | Feb 1993 | A |
5187096 | Giaever et al. | Feb 1993 | A |
5194300 | Cheung | Mar 1993 | A |
5194393 | Hugl et al. | Mar 1993 | A |
5208111 | Decher et al. | May 1993 | A |
5221417 | Basavanhally | Jun 1993 | A |
5234809 | Boom et al. | Aug 1993 | A |
5241012 | Clark | Aug 1993 | A |
5244630 | Khalil et al. | Sep 1993 | A |
5244636 | Walt et al. | Sep 1993 | A |
5244813 | Walt et al. | Sep 1993 | A |
5250264 | Walt et al. | Oct 1993 | A |
5252494 | Walt | Oct 1993 | A |
5254477 | Walt | Oct 1993 | A |
5266238 | Haacke et al. | Nov 1993 | A |
5266427 | Iwase et al. | Nov 1993 | A |
5266497 | Imai et al. | Nov 1993 | A |
5281370 | Asher et al. | Jan 1994 | A |
5283079 | Wang et al. | Feb 1994 | A |
5288577 | Yamaguchi et al. | Feb 1994 | A |
5298741 | Walt et al. | Mar 1994 | A |
5301044 | Wright | Apr 1994 | A |
5306618 | Prober et al. | Apr 1994 | A |
5308586 | Fritsche et al. | May 1994 | A |
5308749 | Sutton et al. | May 1994 | A |
5320814 | Walt et al. | Jun 1994 | A |
5326691 | Hozier | Jul 1994 | A |
5326692 | Brinkley et al. | Jul 1994 | A |
5329461 | Allen et al. | Jul 1994 | A |
5348853 | Wang et al. | Sep 1994 | A |
5356713 | Charmot et al. | Oct 1994 | A |
5362653 | Carr et al. | Nov 1994 | A |
5364759 | Caskey et al. | Nov 1994 | A |
5382512 | Smethers et al. | Jan 1995 | A |
5382801 | Kanayama | Jan 1995 | A |
5389549 | Hamaguchi et al. | Feb 1995 | A |
5395688 | Wang et al. | Mar 1995 | A |
5405784 | Van Hoegaerden | Apr 1995 | A |
5412087 | McGall et al. | May 1995 | A |
5415835 | Brueck et al. | May 1995 | A |
5422246 | Koopal et al. | Jun 1995 | A |
5436327 | Southern et al. | Jul 1995 | A |
5442246 | Azegami et al. | Aug 1995 | A |
5444330 | Leventis et al. | Aug 1995 | A |
5447440 | Davis et al. | Sep 1995 | A |
5468649 | Shah et al. | Nov 1995 | A |
5470534 | Imai et al. | Nov 1995 | A |
5474796 | Brennan | Dec 1995 | A |
5474895 | Ishii et al. | Dec 1995 | A |
5480723 | Klainer et al. | Jan 1996 | A |
5488567 | Allen et al. | Jan 1996 | A |
5496997 | Pope | Mar 1996 | A |
5498392 | Wilding et al. | Mar 1996 | A |
5510270 | Fodor et al. | Apr 1996 | A |
5512157 | Guadagno et al. | Apr 1996 | A |
5512439 | Hornes et al. | Apr 1996 | A |
5512490 | Walt et al. | Apr 1996 | A |
5514785 | VanNess et al. | May 1996 | A |
5516635 | Ekins et al. | May 1996 | A |
5518883 | Soini | May 1996 | A |
5523231 | Reeve | Jun 1996 | A |
5527710 | Nacamulli et al. | Jun 1996 | A |
5528392 | Nakagawa et al. | Jun 1996 | A |
5532128 | Eggers et al. | Jul 1996 | A |
5536648 | Kemp et al. | Jul 1996 | A |
5545522 | Van Gelder et al. | Aug 1996 | A |
5545531 | Rava et al. | Aug 1996 | A |
5552086 | Siiman et al. | Sep 1996 | A |
5552270 | Khrapko et al. | Sep 1996 | A |
5556752 | Lockhart et al. | Sep 1996 | A |
5565324 | Still et al. | Oct 1996 | A |
5567304 | Datta et al. | Oct 1996 | A |
5567627 | Lehnen | Oct 1996 | A |
5573909 | Singer et al. | Nov 1996 | A |
5582988 | Backus et al. | Dec 1996 | A |
5585069 | Zanzucchi et al. | Dec 1996 | A |
5587128 | Wilding et al. | Dec 1996 | A |
5593838 | Zanzucchi et al. | Jan 1997 | A |
5593839 | Hubbell et al. | Jan 1997 | A |
5602042 | Farber | Feb 1997 | A |
5604097 | Brenner | Feb 1997 | A |
5604099 | Erlich et al. | Feb 1997 | A |
5610287 | Nikiforov et al. | Mar 1997 | A |
5627040 | Bierre et al. | May 1997 | A |
5632957 | Heller et al. | May 1997 | A |
5633724 | King et al. | May 1997 | A |
5633972 | Walt et al. | May 1997 | A |
5637508 | Kidwell et al. | Jun 1997 | A |
5639603 | Dower et al. | Jun 1997 | A |
5639606 | Wiley | Jun 1997 | A |
5643765 | Wiley | Jul 1997 | A |
5648124 | Sutor | Jul 1997 | A |
5650488 | O'Hare | Jul 1997 | A |
5650489 | Lam et al. | Jul 1997 | A |
5652059 | Margel | Jul 1997 | A |
5652107 | Lizardi et al. | Jul 1997 | A |
5653939 | Hollis et al. | Aug 1997 | A |
5660990 | Rao et al. | Aug 1997 | A |
5667667 | Southern | Sep 1997 | A |
5674686 | Schumm et al. | Oct 1997 | A |
5674698 | Zarling et al. | Oct 1997 | A |
5679524 | Nikiforov et al. | Oct 1997 | A |
5690894 | Pinkel et al. | Nov 1997 | A |
5698271 | Liberti et al. | Dec 1997 | A |
5700637 | Southern | Dec 1997 | A |
5700897 | Klainer et al. | Dec 1997 | A |
5714340 | Sutton et al. | Feb 1998 | A |
5714521 | Kedem et al. | Feb 1998 | A |
5716852 | Yager et al. | Feb 1998 | A |
5722470 | Kedar et al. | Mar 1998 | A |
5723218 | Haugland et al. | Mar 1998 | A |
5723233 | Garza et al. | Mar 1998 | A |
5728529 | Metzker et al. | Mar 1998 | A |
5736349 | Sasaki et al. | Apr 1998 | A |
5744299 | Henrickson et al. | Apr 1998 | A |
5744305 | Fodor et al. | Apr 1998 | A |
5747349 | Van den Engh et al. | May 1998 | A |
5751629 | Nova et al. | May 1998 | A |
5763175 | Brenner | Jun 1998 | A |
5763198 | Hirth et al. | Jun 1998 | A |
5763263 | Dehlinger | Jun 1998 | A |
5766711 | Barmakian | Jun 1998 | A |
5766963 | Baldwin et al. | Jun 1998 | A |
5770358 | Dower et al. | Jun 1998 | A |
5770367 | Southern et al. | Jun 1998 | A |
5770455 | Cargill et al. | Jun 1998 | A |
5770721 | Ershov et al. | Jun 1998 | A |
5773222 | Scott | Jun 1998 | A |
5776711 | Vyas et al. | Jul 1998 | A |
5779976 | Leland et al. | Jul 1998 | A |
5786219 | Zhang et al. | Jul 1998 | A |
5789147 | Rubinstein et al. | Aug 1998 | A |
5792430 | Hamper | Aug 1998 | A |
5800992 | Fodor et al. | Sep 1998 | A |
5807755 | Ekins | Sep 1998 | A |
5812272 | King et al. | Sep 1998 | A |
5814524 | Walt et al. | Sep 1998 | A |
5831045 | Stolowitz et al. | Nov 1998 | A |
5834590 | Vinik et al. | Nov 1998 | A |
5837501 | Beumer et al. | Nov 1998 | A |
5837551 | Ekins | Nov 1998 | A |
5837832 | Chee et al. | Nov 1998 | A |
5840485 | Lebl et al. | Nov 1998 | A |
5843660 | Schumm et al. | Dec 1998 | A |
5844304 | Kata et al. | Dec 1998 | A |
5846708 | Hollis et al. | Dec 1998 | A |
5855753 | Trau et al. | Jan 1999 | A |
5856092 | Dale et al. | Jan 1999 | A |
5858804 | Zanzucchi et al. | Jan 1999 | A |
5866099 | Owen et al. | Feb 1999 | A |
5866331 | Singer et al. | Feb 1999 | A |
5874219 | Rava et al. | Feb 1999 | A |
5876946 | Burbaum et al. | Mar 1999 | A |
5898071 | Hawkins | Apr 1999 | A |
5900481 | Lough et al. | May 1999 | A |
5922617 | Wang et al. | Jul 1999 | A |
5939021 | Hansen et al. | Aug 1999 | A |
5942388 | Willner et al. | Aug 1999 | A |
5945525 | Uematsu et al. | Aug 1999 | A |
5948621 | Turner et al. | Sep 1999 | A |
5948627 | Lee et al. | Sep 1999 | A |
5952131 | Kumacheva et al. | Sep 1999 | A |
5952174 | Nikiforoy et al. | Sep 1999 | A |
5959098 | Goldberg et al. | Sep 1999 | A |
5961923 | Nova et al. | Oct 1999 | A |
5965235 | McGuire et al. | Oct 1999 | A |
5965452 | Kovacs | Oct 1999 | A |
5968736 | Still et al. | Oct 1999 | A |
5981176 | Wallace | Nov 1999 | A |
5981180 | Chandler et al. | Nov 1999 | A |
5988432 | Sun | Nov 1999 | A |
5989835 | Dunlay et al. | Nov 1999 | A |
5993935 | Rasmussen et al. | Nov 1999 | A |
5994066 | Bergeron et al. | Nov 1999 | A |
6001614 | Akhavan-Tafti | Dec 1999 | A |
6004744 | Goelet et al. | Dec 1999 | A |
6007996 | McNamara et al. | Dec 1999 | A |
6013531 | Wang et al. | Jan 2000 | A |
6014451 | Berry et al. | Jan 2000 | A |
6015664 | Henrickson et al. | Jan 2000 | A |
6015666 | Springer et al. | Jan 2000 | A |
6017696 | Heller | Jan 2000 | A |
6018350 | Lee et al. | Jan 2000 | A |
6023540 | Walt et al. | Feb 2000 | A |
6023590 | Abe et al. | Feb 2000 | A |
6025905 | Sussman | Feb 2000 | A |
6027889 | Barany et al. | Feb 2000 | A |
6027945 | Smith et al. | Feb 2000 | A |
6033547 | Trau et al. | Mar 2000 | A |
6043354 | Hillebrand et al. | Mar 2000 | A |
6048690 | Heller | Apr 2000 | A |
6054270 | Southern | Apr 2000 | A |
6060243 | Tang et al. | May 2000 | A |
6063569 | Gildea et al. | May 2000 | A |
6068818 | Ackley et al. | May 2000 | A |
6075905 | Herman et al. | Jun 2000 | A |
6077669 | Little et al. | Jun 2000 | A |
6077674 | Schleifer et al. | Jun 2000 | A |
6080585 | Southern et al. | Jun 2000 | A |
6083699 | Leushner et al. | Jul 2000 | A |
6083763 | Balch | Jul 2000 | A |
6084991 | Sampas | Jul 2000 | A |
6086736 | Dasgupta et al. | Jul 2000 | A |
6090458 | Murakami | Jul 2000 | A |
6090545 | Wohlstadter et al. | Jul 2000 | A |
6090555 | Fiekowsky et al. | Jul 2000 | A |
6090912 | Lebl et al. | Jul 2000 | A |
6096368 | Sun | Aug 2000 | A |
6100030 | Feazel et al. | Aug 2000 | A |
6103379 | Margel et al. | Aug 2000 | A |
6106685 | McBride et al. | Aug 2000 | A |
6120666 | Jacobson et al. | Sep 2000 | A |
6122599 | Mehta | Sep 2000 | A |
6123263 | Feng | Sep 2000 | A |
6124092 | O'Neill et al. | Sep 2000 | A |
6126731 | Kemeny et al. | Oct 2000 | A |
6130101 | Mao et al. | Oct 2000 | A |
6132685 | Kercso et al. | Oct 2000 | A |
6132997 | Shannon | Oct 2000 | A |
6133436 | Koster et al. | Oct 2000 | A |
6136171 | Frazier et al. | Oct 2000 | A |
6136468 | Mitchell, Jr. et al. | Oct 2000 | A |
6139831 | Shivashankar et al. | Oct 2000 | A |
6141046 | Roth et al. | Oct 2000 | A |
6143499 | Mirzabekov et al. | Nov 2000 | A |
6149789 | Benecke et al. | Nov 2000 | A |
6150095 | Southern et al. | Nov 2000 | A |
6151062 | Inoguchi et al. | Nov 2000 | A |
6153375 | Kobylecki et al. | Nov 2000 | A |
6153389 | Haarer et al. | Nov 2000 | A |
6156502 | Beattie | Dec 2000 | A |
6167910 | Chow | Jan 2001 | B1 |
6172218 | Brenner | Jan 2001 | B1 |
6180226 | McArdle et al. | Jan 2001 | B1 |
6183970 | Okano et al. | Feb 2001 | B1 |
6187540 | Staub et al. | Feb 2001 | B1 |
6193866 | Bader et al. | Feb 2001 | B1 |
6193951 | Ottoboni et al. | Feb 2001 | B1 |
6200737 | Walt et al. | Mar 2001 | B1 |
6200814 | Malmqvist et al. | Mar 2001 | B1 |
6203993 | Shuber et al. | Mar 2001 | B1 |
6207369 | Wohlstadter et al. | Mar 2001 | B1 |
6209589 | Hare et al. | Apr 2001 | B1 |
6218111 | Southern et al. | Apr 2001 | B1 |
6221598 | Schumm et al. | Apr 2001 | B1 |
6232066 | Felder et al. | May 2001 | B1 |
6235471 | Knapp et al. | May 2001 | B1 |
6238863 | Schumm et al. | May 2001 | B1 |
6245508 | Heller et al. | Jun 2001 | B1 |
6251592 | Tang et al. | Jun 2001 | B1 |
6251595 | Gordon et al. | Jun 2001 | B1 |
6251687 | Buechler et al. | Jun 2001 | B1 |
6251691 | Seul | Jun 2001 | B1 |
6254754 | Ross et al. | Jul 2001 | B1 |
6254827 | Ackley et al. | Jul 2001 | B1 |
6261430 | Yager et al. | Jul 2001 | B1 |
6261782 | Lizardi et al. | Jul 2001 | B1 |
6264815 | Pethig et al. | Jul 2001 | B1 |
6264825 | Blackburn et al. | Jul 2001 | B1 |
6266459 | Walt et al. | Jul 2001 | B1 |
6267858 | Parce et al. | Jul 2001 | B1 |
6268219 | Mcbride et al. | Jul 2001 | B1 |
6268222 | Chandler et al. | Jul 2001 | B1 |
6271856 | Krishnamurthy | Aug 2001 | B1 |
6277579 | Lazar et al. | Aug 2001 | B1 |
6280618 | Watkins et al. | Aug 2001 | B2 |
6287778 | Huang et al. | Sep 2001 | B1 |
6294063 | Becker et al. | Sep 2001 | B1 |
6297062 | Gombinski | Oct 2001 | B1 |
6303316 | Kiel et al. | Oct 2001 | B1 |
6306643 | Gentalen et al. | Oct 2001 | B1 |
6307039 | Southern et al. | Oct 2001 | B1 |
6309602 | Ackley et al. | Oct 2001 | B1 |
6312134 | Jain et al. | Nov 2001 | B1 |
6316186 | Ekins | Nov 2001 | B1 |
6318970 | Backhouse | Nov 2001 | B1 |
6319472 | Ackley et al. | Nov 2001 | B1 |
6319674 | Fulcrand et al. | Nov 2001 | B1 |
6321791 | Chow | Nov 2001 | B1 |
6327410 | Walt et al. | Dec 2001 | B1 |
6342355 | Hacia et al. | Jan 2002 | B1 |
6349144 | Shams | Feb 2002 | B1 |
6355419 | Alfenito | Mar 2002 | B1 |
6355431 | Chee et al. | Mar 2002 | B1 |
6355491 | Zhou et al. | Mar 2002 | B1 |
6358387 | Kopf-Sill et al. | Mar 2002 | B1 |
6361916 | Chen et al. | Mar 2002 | B1 |
6361945 | Becker et al. | Mar 2002 | B1 |
6365418 | Wagner et al. | Apr 2002 | B1 |
6368799 | Chee | Apr 2002 | B1 |
6387707 | Seul et al. | May 2002 | B1 |
6399328 | Vournakis et al. | Jun 2002 | B1 |
6403309 | Iris et al. | Jun 2002 | B1 |
6406921 | Wagner et al. | Jun 2002 | B1 |
6426615 | Mehta | Jul 2002 | B1 |
6429027 | Chee et al. | Aug 2002 | B1 |
6448012 | Schwartz | Sep 2002 | B1 |
6451191 | Bentsen et al. | Sep 2002 | B1 |
6458547 | Bryan et al. | Oct 2002 | B1 |
6468811 | Seul | Oct 2002 | B1 |
6480791 | Strathmann | Nov 2002 | B1 |
6488872 | Beebe et al. | Dec 2002 | B1 |
6494924 | Auweter et al. | Dec 2002 | B1 |
6498863 | Gaidoukevitch et al. | Dec 2002 | B1 |
6500620 | Yu et al. | Dec 2002 | B2 |
6503680 | Chen et al. | Jan 2003 | B1 |
6506564 | Mirkin et al. | Jan 2003 | B1 |
6509158 | Schwartz | Jan 2003 | B1 |
6514688 | Muller-Schulte | Feb 2003 | B2 |
6514714 | Lee et al. | Feb 2003 | B1 |
6514771 | Seul | Feb 2003 | B1 |
6515649 | Albert et al. | Feb 2003 | B1 |
6521747 | Anastasio et al. | Feb 2003 | B2 |
6528264 | Pal et al. | Mar 2003 | B1 |
6531292 | Rine et al. | Mar 2003 | B1 |
6531323 | Shinoki et al. | Mar 2003 | B1 |
6534274 | Becker et al. | Mar 2003 | B2 |
6534293 | Barany et al. | Mar 2003 | B1 |
6540895 | Spence et al. | Apr 2003 | B1 |
6605453 | Ozkan et al. | Aug 2003 | B2 |
6605474 | Cole | Aug 2003 | B1 |
6610256 | Schwartz | Aug 2003 | B2 |
6620584 | Chee et al. | Sep 2003 | B1 |
6642062 | Kauver et al. | Nov 2003 | B2 |
6645432 | Anderson et al. | Nov 2003 | B1 |
6650703 | Schwarzmann et al. | Nov 2003 | B1 |
6670128 | Smith et al. | Dec 2003 | B2 |
6692914 | Klaerner et al. | Feb 2004 | B1 |
6703288 | Nagasawa et al. | Mar 2004 | B2 |
6706163 | Seul et al. | Mar 2004 | B2 |
6713309 | Anderson et al. | Mar 2004 | B1 |
6730515 | Kocher | May 2004 | B2 |
6743581 | Vo-Dinh | Jun 2004 | B1 |
6760157 | Allen et al. | Jul 2004 | B1 |
6779559 | Parce et al. | Aug 2004 | B2 |
6797524 | Seul | Sep 2004 | B1 |
6806050 | Zhou et al. | Oct 2004 | B2 |
6812005 | Fan et al. | Nov 2004 | B2 |
6838289 | Bell et al. | Jan 2005 | B2 |
6844156 | Rosen | Jan 2005 | B2 |
6869798 | Crews et al. | Mar 2005 | B2 |
6887701 | Anderson et al. | May 2005 | B2 |
6890741 | Fan et al. | May 2005 | B2 |
6897271 | Domschke et al. | May 2005 | B1 |
6905881 | Sammak et al. | Jun 2005 | B2 |
6908737 | Ravkin et al. | Jun 2005 | B2 |
6942968 | Dickinson et al. | Sep 2005 | B1 |
6955751 | Seul | Oct 2005 | B1 |
6955889 | Mercolino et al. | Oct 2005 | B1 |
6955902 | Chumakov et al. | Oct 2005 | B2 |
6958245 | Seul et al. | Oct 2005 | B2 |
6991941 | Seul | Jan 2006 | B1 |
6993156 | Szeliski et al. | Jan 2006 | B1 |
7015047 | Huang et al. | Mar 2006 | B2 |
7041453 | Yang | May 2006 | B2 |
7049077 | Yang | May 2006 | B2 |
7056746 | Seul et al. | Jun 2006 | B2 |
7060431 | Chee et al. | Jun 2006 | B2 |
7090759 | Seul | Aug 2006 | B1 |
7097974 | Stahler et al. | Aug 2006 | B1 |
7099777 | Ghandour | Aug 2006 | B1 |
7115884 | Walt et al. | Oct 2006 | B1 |
7132239 | Livak et al. | Nov 2006 | B2 |
7141217 | Karlsson et al. | Nov 2006 | B2 |
7144119 | Seul et al. | Dec 2006 | B2 |
7157228 | Hashmi et al. | Jan 2007 | B2 |
7195913 | Guire et al. | Mar 2007 | B2 |
7229840 | Wischerhoff | Jun 2007 | B1 |
7262016 | Huang et al. | Aug 2007 | B2 |
7291504 | Seul | Nov 2007 | B2 |
7306918 | Hashmi et al. | Dec 2007 | B2 |
7320864 | Yang | Jan 2008 | B2 |
7335153 | Seul et al. | Feb 2008 | B2 |
7344841 | Hashmi et al. | Mar 2008 | B2 |
7358097 | Seul et al. | Apr 2008 | B2 |
7390676 | Seul et al. | Jun 2008 | B2 |
7425416 | Hashmi et al. | Sep 2008 | B2 |
7427512 | Seul | Sep 2008 | B2 |
7501253 | Pourmand et al. | Mar 2009 | B2 |
7526114 | Xia et al. | Apr 2009 | B2 |
7582488 | Banerjee et al. | Sep 2009 | B2 |
7595279 | Wang et al. | Sep 2009 | B2 |
7615345 | Seul | Nov 2009 | B2 |
7732575 | Wang et al. | Jun 2010 | B2 |
7737088 | Stahler et al. | Jun 2010 | B1 |
7749774 | Seul | Jul 2010 | B2 |
7790380 | Yang | Sep 2010 | B2 |
7848889 | Xia et al. | Dec 2010 | B2 |
7940968 | Seul et al. | May 2011 | B2 |
20010034614 | Fletcher-Haynes et al. | Oct 2001 | A1 |
20010044531 | McGall et al. | Nov 2001 | A1 |
20010046602 | Chandler et al. | Nov 2001 | A1 |
20010049095 | Webster | Dec 2001 | A1 |
20020006634 | Han et al. | Jan 2002 | A1 |
20020015952 | Anderson et al. | Feb 2002 | A1 |
20020022276 | Zhou et al. | Feb 2002 | A1 |
20020029235 | Lock et al. | Mar 2002 | A1 |
20020031841 | Asher et al. | Mar 2002 | A1 |
20020032252 | Ishizuka | Mar 2002 | A1 |
20020039728 | Kain et al. | Apr 2002 | A1 |
20020045169 | Shoemaker et al. | Apr 2002 | A1 |
20020081714 | Jain et al. | Jun 2002 | A1 |
20020102567 | Fodor et al. | Aug 2002 | A1 |
20020125138 | Medoro | Sep 2002 | A1 |
20020127603 | Basiji et al. | Sep 2002 | A1 |
20020137074 | Piunno et al. | Sep 2002 | A1 |
20020142318 | Cattell et al. | Oct 2002 | A1 |
20020150909 | Stuelpnagel et al. | Oct 2002 | A1 |
20020155481 | Hirota et al. | Oct 2002 | A1 |
20020166766 | Seul et al. | Nov 2002 | A1 |
20020182609 | Arcot | Dec 2002 | A1 |
20020187501 | Huang et al. | Dec 2002 | A1 |
20020197728 | Kaufman et al. | Dec 2002 | A1 |
20020198665 | Seul et al. | Dec 2002 | A1 |
20030003272 | Laguitton | Jan 2003 | A1 |
20030004594 | Liu et al. | Jan 2003 | A1 |
20030006143 | Banerjee et al. | Jan 2003 | A1 |
20030012693 | Otillar et al. | Jan 2003 | A1 |
20030012699 | Moore et al. | Jan 2003 | A1 |
20030022370 | Casagrande et al. | Jan 2003 | A1 |
20030022393 | Seul et al. | Jan 2003 | A1 |
20030031351 | Yim | Feb 2003 | A1 |
20030038812 | Bartell | Feb 2003 | A1 |
20030040129 | Shah | Feb 2003 | A1 |
20030062422 | Fateley et al. | Apr 2003 | A1 |
20030077607 | Hopfinger et al. | Apr 2003 | A1 |
20030082487 | Burgess | May 2003 | A1 |
20030082530 | Soderlund et al. | May 2003 | A1 |
20030082531 | Soderlund et al. | May 2003 | A1 |
20030082587 | Seul et al. | May 2003 | A1 |
20030087228 | Bamdad et al. | May 2003 | A1 |
20030108913 | Schouten | Jun 2003 | A1 |
20030129296 | Kelso | Jul 2003 | A1 |
20030134326 | Hansen et al. | Jul 2003 | A1 |
20030138842 | Seul et al. | Jul 2003 | A1 |
20030148335 | Shen et al. | Aug 2003 | A1 |
20030152931 | Chiou et al. | Aug 2003 | A1 |
20030154108 | Fletcher-Haynes et al. | Aug 2003 | A1 |
20030177036 | Oka et al. | Sep 2003 | A1 |
20030182068 | Battersby et al. | Sep 2003 | A1 |
20030186220 | Zhou et al. | Oct 2003 | A1 |
20030228610 | Seul | Dec 2003 | A1 |
20040002073 | Li et al. | Jan 2004 | A1 |
20040009614 | Ahn et al. | Jan 2004 | A1 |
20040014073 | Trau et al. | Jan 2004 | A1 |
20040048259 | Hashmi et al. | Mar 2004 | A1 |
20040093238 | Deakter | May 2004 | A1 |
20040106121 | Ugolin et al. | Jun 2004 | A1 |
20040132122 | Banerjee et al. | Jul 2004 | A1 |
20040137641 | Holtlund et al. | Jul 2004 | A1 |
20040175734 | Stahler et al. | Sep 2004 | A1 |
20040219520 | Mirkin et al. | Nov 2004 | A1 |
20040229269 | Hashmi et al. | Nov 2004 | A1 |
20050048570 | Weber et al. | Mar 2005 | A1 |
20050112585 | Zichi et al. | May 2005 | A1 |
20050143928 | Moser et al. | Jun 2005 | A1 |
20050239098 | Hastings et al. | Oct 2005 | A1 |
20060024732 | Huang et al. | Feb 2006 | A1 |
20060035240 | Seul et al. | Feb 2006 | A1 |
20060275799 | Banerjee et al. | Dec 2006 | A1 |
20070031877 | Stahler et al. | Feb 2007 | A1 |
20070231810 | Todd et al. | Oct 2007 | A1 |
20070243534 | Seul et al. | Oct 2007 | A1 |
20080020374 | Greene et al. | Jan 2008 | A1 |
20080123089 | Seul et al. | May 2008 | A1 |
20080200349 | Wu et al. | Aug 2008 | A1 |
20080214412 | Stahler et al. | Sep 2008 | A1 |
20080261205 | Denomme | Oct 2008 | A1 |
20100062518 | Banerjee | Mar 2010 | A1 |
Number | Date | Country |
---|---|---|
1248873 | Jan 1989 | CA |
4035714 | May 1992 | DE |
0126450 | Nov 1984 | EP |
179039 | Apr 1986 | EP |
246864 | Nov 1987 | EP |
269764 | Jun 1988 | EP |
472990 | Mar 1992 | EP |
478319 | Apr 1992 | EP |
0529775 | Mar 1993 | EP |
1394270 | Mar 2004 | EP |
1564306 | Feb 2005 | EP |
62265567 | Nov 1987 | JP |
03-236777 | Oct 1991 | JP |
WO8911101 | May 1989 | WO |
WO 9109141 | Jun 1991 | WO |
WO 9119023 | Dec 1991 | WO |
WO 9210092 | Jun 1992 | WO |
WO 9325563 | Jun 1992 | WO |
WO 9302360 | Feb 1993 | WO |
WO 9306121 | Apr 1993 | WO |
WO 9324517 | Dec 1993 | WO |
WO 9400810 | Jan 1994 | WO |
WO 9428028 | Sep 1994 | WO |
WO 9509248 | Apr 1995 | WO |
WO 9512608 | May 1995 | WO |
WO 9512808 | May 1995 | WO |
WO 9600148 | Jan 1996 | WO |
WO 9602558 | Feb 1996 | WO |
WO 9603212 | Feb 1996 | WO |
WO 9604547 | Feb 1996 | WO |
WO 9607917 | Mar 1996 | WO |
WO 9630392 | Oct 1996 | WO |
WO9641011 | Dec 1996 | WO |
WO 9714028 | Apr 1997 | WO |
WO 9722720 | Jun 1997 | WO |
WO 9739151 | Oct 1997 | WO |
WO 9740383 | Oct 1997 | WO |
WO 9740385 | Oct 1997 | WO |
WO 9745559 | Dec 1997 | WO |
WO 9802752 | Jan 1998 | WO |
WO 9804950 | Feb 1998 | WO |
WO 9806007 | Feb 1998 | WO |
WO 9820153 | May 1998 | WO |
WO 9821593 | May 1998 | WO |
WO 9838334 | Sep 1998 | WO |
WO 9840726 | Sep 1998 | WO |
WO 9853093 | Nov 1998 | WO |
WO 9909217 | Feb 1999 | WO |
WO 9918434 | Apr 1999 | WO |
WO 9919515 | Apr 1999 | WO |
WO 9924822 | May 1999 | WO |
WO 9935499 | Jul 1999 | WO |
WO 9936564 | Jul 1999 | WO |
WO 9941273 | Aug 1999 | WO |
WO 9951773 | Oct 1999 | WO |
WO 9960170 | Nov 1999 | WO |
WO 9967641 | Dec 1999 | WO |
WO 0003004 | Jan 2000 | WO |
WO 0004372 | Jan 2000 | WO |
WO 0007019 | Feb 2000 | WO |
WO 0013004 | Mar 2000 | WO |
WO 0022172 | Apr 2000 | WO |
WO 0020593 | Apr 2000 | WO |
WO 0022172 | Apr 2000 | WO |
WO 0026920 | May 2000 | WO |
WO 0031356 | Jun 2000 | WO |
WO 0039587 | Jul 2000 | WO |
WO 0046602 | Aug 2000 | WO |
WO 0051058 | Aug 2000 | WO |
WO 0062048 | Oct 2000 | WO |
WO 0073777 | Dec 2000 | WO |
WO 0075373 | Dec 2000 | WO |
WO 0101184 | Jan 2001 | WO |
WO 0120179 | Mar 2001 | WO |
WO 0136679 | May 2001 | WO |
WO 0154813 | Aug 2001 | WO |
WO 0156216 | Aug 2001 | WO |
WO 0184150 | Nov 2001 | WO |
WO 0188535 | Nov 2001 | WO |
WO 0194947 | Dec 2001 | WO |
WO 0198765 | Dec 2001 | WO |
WO 0212888 | Feb 2002 | WO |
WO 0214864 | Feb 2002 | WO |
WO 0231182 | Apr 2002 | WO |
WO 0233084 | Apr 2002 | WO |
WO 0235441 | May 2002 | WO |
WO 0237209 | May 2002 | WO |
WO 02057496 | Jul 2002 | WO |
WO02057496 | Jul 2002 | WO |
WO02058379 | Jul 2002 | WO |
WO02061121 | Aug 2002 | WO |
WO 02079490 | Oct 2002 | WO |
WO 02084285 | Oct 2002 | WO |
WO 02096979 | Dec 2002 | WO |
WO 03020968 | Mar 2003 | WO |
WO 03025011 | Mar 2003 | WO |
WO 03034029 | Apr 2003 | WO |
WO 03058196 | Jul 2003 | WO |
WO 03079401 | Sep 2003 | WO |
WO 03092546 | Nov 2003 | WO |
WO 2004035426 | Apr 2004 | WO |
WO 2005000236 | Jan 2005 | WO |
WO 2005042763 | May 2005 | WO |
WO 2005045059 | May 2005 | WO |
WO 2005095650 | Oct 2005 | WO |
WO 2008040257 | Apr 2008 | WO |
WO 2009088893 | Jul 2009 | WO |
WO 2010025002 | Mar 2010 | WO |
WO2010026038 | Mar 2010 | WO |
WO2010098765 | Sep 2010 | WO |
WO 2010143678 | Dec 2010 | WO |
Entry |
---|
Peterson et al, Hybridization of Mismatched or Partially Matched DNA at Surfsaces, 2002, JACS, 124, 14601-14607. |
Armstrong et al., “Suspension arrays for high throughput, multiplexed single nucleotide polymorphism genotyping” Cytometry. vol. 40:102-108 (2000). |
Bortolin, S. et al. “Analytical validation of the tag-it high-throughput microsphere-based universal arrray genotyping platform: application to the multiplex detection of a panel of thrombophilia-associated single-nucleotide polymorphisms” Clinical Chemistry, vol. 50 (11), pp. 2028-2036 (Sep. 13, 2004). |
B. -Y. Ha et al., “Counterion-Mediated Attraction between Two Like-Charged Rods,” Physical Review Letters, Aug. 18, 1997, vol. 79, No. 7, pp. 1289-1292. |
A. Hatch, et al., “Diffusion Immunoassay in Polyacrylamide Hydrogels”. Micro Total Analysis Systems, pp. 571-572 (2001). |
Aho et al., “Efficient String Matching: An Aid to Bibliographic Search”. Communications of the ACM, vol. 18, No. 6, pp. 333-340 (Jun. 1975). |
Albergo et al., “Solvent effects on the thermodynamics of double-helix formation in (dG-sC) 3”. Biochemistry, vol. 20, No. 6: 1413-1418 (1981). |
Albrecht et al, “Probing the role of multicellular organization in three-dimensional microenvironments”. Nature Methods, vol. 3, No. 5, pp. 369-375 (May 2006). |
Albrecht et al., “Photo and electropatterning of hydrogel-encapsulated living cell arrays”, Lab on a Chip, vol. 5, Issue 1, pp. 111-118 (2004). |
Alford, R. L., “DNA Analysis in forensics, disease and animal/plant identification”. Current Opinions in Biotechnology, vol. 5(1), pp. 29-33 (1994). |
Al-Soud, W. A., “Purification and Characterization of PCR-Inhibitory Components in Blood Cells”. Journal of Clinical Microbiology, vol. 39, No. 2, pp. 485-493 (Feb. 2001). |
Al-Soud, W. A., et al., “Identification and characterization of immunoglobulin G in blood as a major inhibitor of diagnostic PCR”. Journal of Clinical Microbiology, vol. 38, No. 1, pp. 345-350 (Jan. 2000). |
Ambruso, D. R., et al., “Experience with donors matched for minor blood group antigens in patients with sickle cell anemia who are receiving chronic transfusion therapy”, Transfusion, vol. 27, No. 1, 1987, pp. 94-98. |
Zhang, Y., et al., “Reproducible and inexpensive probe preparation for oligonucleotide arrays”. Nucleic Acids Research, vol. 29, No. 13, pp. E66-6 (Jul. 1, 2001). |
Arenko, et al., “Protein microchips: Use for immunoassay and enzymatic reactions”. Analytical Biochemistry, vol. 278, pp. 123-131 (2000). |
Assie et al., Correlation between low/high affinity ratios for 5-HT Receptors and Intrinsic Activity, European Journal of Pharmacology, vol. 386, pp. 97-103 (1999). |
Bakewell et al., “Characterization of the dielectrophoretic movement of DNA in micro-fabricated structures”, Institute of Physics Conference Series (1999) Electrostatics (1999). |
Balass et al. “Recovery of high-affinity phage from a Nitrostretavidin matrix in phage-display technology”. Analytical Biochemistry. vol. 243: 264-269 (1996). |
Baldwin, et al., “Phosphorylation of gastrin-17 by epidermal growth factor-stimulated tyrosine kinase”. Nature, vol. 44, pp. 2403-2404 (1998). |
Bandeira-Melo, C., et al., “EliCell: A gel-phase dual antibody capture and detection assay to measure cytokine release from eosinophils”. Journal of Immunological Methods, vol. 244, pp. 105-115 (2000). |
Bao, Y. P., et al., “Detection of Protein Analytes via Nanoparticle-Based Bio Bar Code Technology”. Anal. Chem., vol. 78, pp. 2055-2059 (2006). |
Barany, Francis, “Genetic Disease Detection and DNA Amplification using Cloned Thermostable Ligase”. Proceedings of the National Academy of Sciences of the United States of America, vol. 88, pp. 189-193 (Jan. 1991). |
Barnard et al. “A fibre-optic chemical sensor with descrete sensing sites”. Nature, vol. 353:338-340 (1991). |
Basu, S., et al., “Synthesis and Characterization of a Peptide Nucleic Acid Conjugated to a D-Peptide Analog of Insulin-like Growth Factor 1 for Increased Cellular Uptake”. Bioconjugate Chem, vol. 8, No. 4, pp. 481-488 (1997). |
Battersby et al., “Toward Larger Chemical Libraries: Encoding with Fluorescent Colloids in Combinatorial Chemistry”. J. Amer Chem Soc, vol. 122, pp. 2138-2139 (2000). |
Baumgarth N. et al., A practical approach to multicolor flow cytometry for immunophenotyping, J. Immunological Methods, 2000, pp. 77-97, vol. 243. |
Bavykin, S.G., et al., “Portable system for microbial sample preparation and oligonucleotide microarray analysis”. Appl. Environmental Microbiol. 67(2), 922-928 (2001). |
Beatty et al. “Probability of Finding HLA-mismatched Related or Unrelated Marrow or Cord Blood Donors”, Human Immunology, 2001, vol. 61, pp. 834-840. |
Beebe et al., “Functional Hydrogel structures for autonomous flow control inside microfluidic channels”. Nature, vol. 404, No. 6778, pp. 588-590 (Apr. 6, 2000). |
Beiboer, S. W., et al., “Rapid genotyping of blood group antigens by multiplex polymerase chain reaction and DNA microarray hybridization” 45 Transfusion 667-679 (2005). |
Bennett, P. R., et al., “Prenatal Determination of Fetal RhD Type by DNA Amplification”. The New England Journal of Medicine, vol. 329, No. 9, pp. 607-610 (Aug. 26, 1993). |
Bernard, Philip S., “Homogenous Multiplex Genotyping of Hemochromatasis Mutations with Fluorescent Hybridization Probes”. American Journal of Pthology, vol. 153, No. 4, pp. 1055-1061 (1998). |
Bessetti, J., “An introduction to PCT Inhibitors”. Profiles in DNA-PCR Inhibition, pp. 9-10 (Mar. 2007). |
Bickel, P. J., “Discussion of the Evaluation of Forensic DNA Evidence”. Proc. Natl. Acad. Sci., vol. 94, p. 5497 (May 1997). |
Zhang, X., et al., “Strand invasion by mixed base PNAs and a PNA-peptide chimera”. Nucleic Acids Research, vol. 28, No. 17, pp. 3332-3338 (2000). |
Blaaderen, et al., “Synthesis and Characterization of Colloidal Dispersions of Fluorescent, Monodisperse Silica Spheres”. Langmuir, vol. 8, No. 2, pp. 2921-2931 (1992). |
Bonnet, G., et al., “Thermodynamic basis of the enhanced specificity of structured DNA probes,” Proc. Natl. Acad. Science, USA, vol. 96, pp. 6171-6176, May 1999. |
Bos et al., “Controlled release of pharmaceutical protein from hydrogels”. Business Briefing: Pharmatech, pp. 184-187 (2002). |
Boyce, et al. “Peptidosteroidal Receptors for Opioid Peptides. Sequence-Selective Binding Using a Synthetic Receptor Library”. J. Am. Chem. Soc., vol. 116, No. 17, pp. 7955-7956 (1994). |
Boyd et al., “Tosyl Chloride activation of a rayon/polyester cloth for protein immobilization”, Biotechnology Techniques, Apr. 1993, vol. 7, 4:277-282. |
Braga et al., “Hydrophobic Polymer Modification with Ionic Reagents: Polysterene Staining with Water-Soluble Dyes”. Langmuir, vol. 19, No. 18, pp. 7580-7586 (2003). |
Breslauer, K.J. et al., “Predicting DNA duplex stability from the base sequence”. PNAS USA, vol. 83, pp. 3746-3750 (1986). |
Brick, et al., “Formation of Colloidal Dispersions of Organic Materials in Aqueous Media by Solvent Shifting”. Langmuir, vol. 19, No. 16, pp. 6367-6380 (Jan. 31, 2003). |
Broude et al., “Multiplex allele-specific target amplification based on PCR suppression”. PNAS. vol. 98, No. 1, pp. 206-211 (2001). |
Brown, Patrick O., et al., “Exploring the new world of the genome with DNA microarrays”. Nature Genetics Supplement, vol. 21, pp. 33-37 (Jan. 1999). |
Buck et al., “Design Strategies and Performance of Custom DNA Sequence Primers”. BioTechniques, vol. 27, pp. 528-536 (Sep. 1999). |
Bunce et al., “Phototyping: Comprehensive DNA Typing for HLA-A, B, C, DRB1, DRB2, DRB3, DRB4, DRB5 & DQB1 by PCR with 144 primer mixes utilizing sequence-specific primers (PCR-SSP)”. Tissue Antigens, vol. 46, No. 5, pp. 355-367 (Nov. 1995). |
Bunce, M., et al., “Comprehensive serologically equivalent DNA typing for HLA-A by PCR using sequence specific primers (PCR—SSP)”, Tissue Anitigens 45 : 81-90 (1995). |
Burbulis, I, et al., “Using protein-DNA chimeras to detect and count small numbers of molecules”. Nature Methods, vol. 2, No. 1, pp. 31-37 (Jan. 2005). |
Cai et al., “Flow cytometry-based minisequencing: A new platform for high-throughput single-nucleotide polymorphism scoring”, Genomics 66:135-143 (2000). |
Campbell, C. J., et al., “Cell Interaction Microarray for Blood Phenotyping”. Analytical Chemistry, vol. 78, pp. 1930-1938 (2006). |
Campian et al. Colored and fluorescent solid supports. Innovation and Perspectives in Solid Phase Synthesis. Ed: E. Birmingham (Mayflower, London), pp. 469-474 (1994). |
Cao et al., “High and intermediate resolution DNA typing systems for class I HLA-A, B, C genes by hybridization with sequence-specific oligonnucleotide probes (SSOP)”, Rev Immunogenetics 1:177-208 (1999). |
Cao et al., “Nanoparticles with Raman Spectroscopic Fingerprints for DNA and RNA Detection” , Science 197:1536-1539 (2002). |
Caruso et al., “Magnetic Core-Shell Particles: Preparation of Magnetite Multilayers on Polymer Latex Microspheres”. Advanced materials, vol. 11, No. 11, pp. 950-953 (1999). |
Caruso, et al., “Magnetic Nanocomposite Particles and Hollow Spheres Constructed by a Sequential Layering Approach”. Chem Mater, vol. 13, No. 1, pp. 109-116 (2001). |
Caruso. “Nanoengineering of Particle Surfaces”. Advanced Materials, vol. 12, No. 1, pp. 11-22 (2001). |
Casnellie JE, et al., “Phosphorylation of synthetic peptides by a tyrosine protein kinase from the particulate fraction of a lymphoma cell line”. Proc natl Sci USA, vol. 79, No. 2, pp. 282-286 (1982). |
Chalmers, et al., “An instrument to determine the magnetophoretic mobility of labeled, biological cells and paramagnetic particles”. Journal of Magnetism and Magnetic Materials, vol. 194, pp. 231-241 (1999). |
Chan et al. The Bipohysics of DNA Hybridization with Immobilized Oligonucleotide Probes. Biophysical Journal 69: pp. 2243-2255 (1995). |
Chang, et al., “New Approach to Produce monosized Polymer Microcapsules by the Solute Co-diffusion Method”. Langmuir, vol. 17, No. 18, pp. 5435-5439 (2001). |
Zhang et al., “Reconstruction of DNA sequencing by hybridization”. Bioinformatics, vol. 19, No. 1, pp. 14-21 (2003). |
Chaudhry et al., “Reactivity of human apurinic/apyrimidinic endonucleoase and Escheria coli exonucleonase III with bistranded abasic sites in DNA”. The Journal of Biological Chemisty., vol. 272: 15650-15655 (1997). |
Chee, M. et al., “Accessing genetic information with high-density DNA arrays”. Science, vol. 274, pp. 610-613 (1996). |
Chen et al., “A Microsphere-Based assay for multiplexed single nucleotide polymorphism analysis using single base chain extension”, Genome Research, Cold Spring Harbor Laboratory Press 10:549-557 (2000). |
Zhang et al., “Nuclear DNA analysis in genetic studies of populations; practice, problems and prospects” Molecular Ecology. vol. 12:563-584 (2003). |
Chen, YX, et al., “Deletion of arginine codon 229 in the Rhce gene alters e and f but not c antigen expression”. vol. 44, No. 3, pp. 391-398 (Mar. 2004). |
Cheng, et al., “A Synthetic peptide derived from p34cdc2 is a Specific and Efficient Substrate of SRC-Family Tyrosine Kinases”. J Biol Chem, pp. 9248-9256. vol. 267, No. 13 (1992). |
Zborowski, et al., “Continuous cell separation using novel magnetic quadruple flow sorter”. Journal of Magnetism and Magnetic Materials, vol. 194, pp. 224-230 (1999). |
Cherepinsky, Vera, “On mathematical aspects of genomic analysis”, Ph.D. Thesis, published Mar. 2004. |
Cheung, V. G., et al., “Making and Reading Microarrays”. vol. 21, pp. 15-19 (Jan. 1999). |
Choi, et al., “An on-chip magnetic separator using spiral electromagnets with semi-encapsulated permalloy”. Biosensors & Bioelectronics, vol. 16, pp. 409-416 (2001). |
Yellen, B. B., et al., “Programmable Assembly of Colloidal Particles Using Magnetic Microwell Templates”. Langmuir, page est 6.5 (2004). |
Clerc, P., et al., “Advanced deep reactive ion etching: a versatile tool for microelectromechanical systems”. J. Micromech Microeng, vol. 8, No. 4, pp. 272-278 (Dec. 1998). |
Coffer et al., “Characterization of Quanum-Confined CdS Nanocrystallites Stabilized by Deoxyribonucleic Acid (DNA)” Nanotechnology, 1992 3:69-75. |
Yeh, S. R., et al., “Assembly of ordered colloidal aggregares by electric-field-induced fluid flow”. Nature, Mar. 6, 1997; vol. 386, No. 6620, pp. 57-59. |
Colombie, et al., “Role of Mixed Anionic-Nonionic Systems of Surfactants in the Emulsion Polymerization of Styrene: Effect on Particle Nucleation”. Macromolocules, vol. 33, No. 20, pp. 7283-7291 (2000). |
Cosgrove et al. “A Small-angle neutron scattering study of the structure of gelatin at the surface of polystyrene latex particles”. Langmuir. vol. 14:5376-5382 (1998). |
Coyne et al., “Assymetric PCR for ssDNA Production”, Molecular Biology Techniques Manual. Third Edition. Jan. 1994, Feb. 2001; http://www.mcb.uct.ac.za/percond.htm. |
Crisp, M., et al., “Preparation of Nanoparticle Coatings on Surfaces of Complex Geometry”. Nano Letters, vol. 3, No. 2, pp. 173-177 (2003). |
Cronin M.T. et al., “Cystic Fibrosis Mutation Detection by Hybridization to Light-Generated DNA Probe Arrays,” Human Mutation, John Wiley & Sons, Inc., US, vol. 7, No. 3, pp. 244-255 (Jan. 1996). |
Cruse et al., “Illustrated Dictionary of Immunology”. Boca Raton: CRC Press, p. 512 (2003). |
Dai-Wu Seol, et al., “Signaling Events Triggered by Tumor Necrosis Factor-related Apoptosis-inducing Ligand (TRAIL): Caspase-8 is Required for TRAIL-Induced Apoptosis”. Cancer Research, vol. 61, pp. 1138-1143 (2001). |
Dasgupta, et al., “Flow of multiple fluids in a small dimension”. Analytical Chemistry, vol. 74, No. 7, pp. 208-213 (2002). |
De Farias, P., et al., Investigation of red blood cell antigens with highly fluorescent and stable semiconductor quantum dots, J. Bimedical Optics, 2005, pp. 1-4, vol. 10(4). |
Decher, G., “Fuzzy Nanoassemblies: Towared Layered Polymeric Multicomposites”. Science, vol. 277, pp. 1232-1237 (Aug. 29, 1997). |
Denomme, G. A., et al., “High throughput multiplex single-nucloetide polymorphism analysis for red cell and platelet antigen genotypes”. Transfusion, vol. 45, pp. 660-666 (May 2005). |
Denkov et al. “Mechanism of Formation of Two-Dimensional Crystals from Latex Particles on Substrates,” langmuir, 1992, pp. 3183-3190, vol. 8. |
Ding et al., “Direct molecular haplotyping of long-range genomic DNA with M1-PCR”, Jun. 2003, vol. 100, 13: 7449-7453. |
Du et al., “Sensitivity and Specificity of Metal Surface-Immobilized,” Molecular Beacon, Biosensors; JACS 2005, vol. 127, No. 21, pp. 7932-7940. |
Duggan, David J., et al., “Expression profiling using cDNA microarrays”. Nature Genetics Supplement, vol. 21, pp. 10-14 (Jan. 1999). |
Dunbar SA et al. “Application of the luminex LabMAP in rapid screening for mutations in the cystic fibrosis transmembrane conductance regulator gene: A pilot study” Clin Chem Sep. 2000; 46(9): 1498-500. with Abstract data, pp. 1 and 2. |
Duquesnoy HLA Matchmaker: A Molecularly Based Algorithm for Histocompatibility Determination. I. Description of the Algorithm. Human Immunology, vol. 63, pp. 339-352 (2002). |
Dziennik, S. R., et al., “Nondiffusive mechanisms enhance protein uptake rates in ion exchange particles”. PNAS, vol. 100, No. 2, pp. 420-425 (2003). |
Easteal, S. “DNA Fingerprinting by PCR Amplification of HLA Genes”. DNA and Criminal Justice; Human Genetics Group, John Curtin School of Medical Research, pp. 121-127 (1991). |
Egner et al. “Tagging in combinatorial chemistry: the use of coloured and fluorescent beads”. Chem. Commun. pp. 735-736 (1997). |
Elaissari et al., “Hydrophilic and cationiclatex particles for the specific extraction of nucleic acids”. J. Biomater, Sci Polymer Edn, vol. 10, pp. 403-420 (1999). |
Erdogan et al., “Detection of mitochondrial single nucleotide polymorphisms using a primer elongation reaction on oligonucleotide microarrays”, Nucleic Acid Research, 29 : 1-7 (2001). |
Ericsson, O., et al., “A dual-tag microarray platform for high-performance nucleic acid and protein analyses”. Nucleic Acids Research, vol. 36, No. 8 e45, pp. 1-9 (2008). |
Erlich, et al., “HLA DNA Typing and Transplantation”, Immunity, 14: 347-356 (2001). |
Fan et al., “Parallel Genotyping of Human SNPs Using Generic High-density Oligonucleotide Tag Arrays”, Genome Research, vol. 10, pp. 853-860 (2000). |
Fatin-Rouge, N., et al., “Diffusion and Partitioning of Solutes in Agarose Hydrogels: The Relative Influence of Electrostatic and Specific Interactions”, J. Phys. Chem. B., vol. 107, pp. 12126-12137 (2003). |
Ferguson et al., “High-Density Fiber-Optic DNA Random Microsphere Array”. Anal. Chem, vol. 72, pp. 5618-5624 (2000). |
Filipovich et al., “Impact of donor type on outcome of bone marrow transplantation for Wiskott-Aldrich syndrome: collaborative study of the International Bone Marrow Transplant Registry and the National Marrow Donor Program”, Blood, vol. 97, No. 6, pp. 1598-1603 (2001). |
Finkel, et al. “Barcoding the Microworld”. Analytical Chemistry, pp. 353-359 (Oct. 1, 2004). |
Fitch, J.P. et al., “Rapid Development of Nucleic Add Diagnostics”, Proceedings of the IEEE 90 (11): 1708-1720 (Nov. 2002). |
Fluorescent Microspheres (Tech. Note #19). Bangs Laboratories (1997). |
Fodor, S., et al., “Light-Directed, Spatially Addressable Parallel Chemical Synthesis”. Research Article (Authors are at the Affymax Research Institute, 3180 Porter Drive, Palo Alto, CA 94304), pp. 767-773 (Feb. 15, 1991). |
Fowke, Keith R., et al. “Genetic analysis of human DNA recovered from minute amounts of serum or plasma”. Journal of Immunological Methods, vol. 80, pp. 45-51 (1995). |
Frengen, Jomar, et al., “Demonstration and Minimization of Serum Interference in Flow Cytometric Two-Site Immunoassays”. Clinical Chemistry, vol. 40, No. 3, pp. 420-425 (1994). |
Fuh et al. Single Fibre Optic Fluorescence pH Probe. Analyst, 112:1159-1163 (1987). |
Fuh et al., “A Method for Determination of Particle Magnetic Susceptibility with Analytical Magnetapheresis”. Anal. Chem, vol. 72, pp. 3590-3595 (2000). |
Fulton et al. “Advanced multiplexed analysis with the FlowMetrix system”. Clinical Chemistry, vol. 43:9, pp. 1749-1756 (1997). |
Gahan, P. B., “Circulating Nucleic Acid in Plasma and Serum: Diagnosis and Prognosis in Cancer”. Oncology, vol. 32, No. 6, pp. 20-22 (Oct. 2008); Weekly news updates on www.cli-online.com. |
Garber, K. “More SNPs on the Way”. Science, vol. 281, No. 5384, pp. 1788-1790 (Sep. 18, 1998). |
Gates, et al., “Photonic Crystals that can be Addressed with an External Magnetic Field”. Adv Mater, vol. 13, No. 21, pp. 1605-1608 (2001). |
Gelfi, C., et al., “Investigation of the Properties of Novel Acrylamido Monomers by Capilary Zone Electrophoresis”, Journal of Chromatography, vol. 608, pp. 333-341 (1992). |
Gerlach. Human Lymphocyte Antigen Molecular Typing. Archives of Pathology & Laboratory Medicine. vol. 126, pp. 281-284 (2002). |
Ghazaly, et al., “Synthesis and Characterization of a Macromonomer Crosslinker”. Journal of Applied Polymer Science, vol. 77, pp. 1362-1368 (2000). |
Ghosh et al. “Covalent attachement of oligonucleotides to solid supports”. Nucleic Acids Research. vol. 16, No. 13; pp. 5363-5371 (1987). |
Ghosh, P., et al. “A Simple Lithographic Approach for Preparing Patterned, Micron-Scale Corrals for Controlling Cell Growth”. Angew. Chem. Int. Ed., vol. 38, No. 11, pp. 1592-1595 (1999). |
Giersig et al. Formation of ordered two-dimensional gold colloid lattices by electrophoretic deposition. J. Phys. Chem., vol. 97: 6334-6336 (Apr. 29, 1993). |
Giorgi, R., et al., “Nanotechnologies for Conservation of Cultural Heritage: Paper and Canvas Deacidification”. Langmuir, vol. 18, pp. 8198-8203 (2002). |
Good, L., et al., “Bactericidal antisense effects of peptide-DNA conjugates”. Nature Biotechnology, vol. 19, pp. 360-364 (2001). |
Goodey et al., “Development of multianalyte sensor arrays composed of chemically derivatized polymeric microspheres localized in micromachined cavitites”. Journal of American Chemical Society, vol. 123, pp. 2559-2570 (2001). |
Graf et al., “A general method to coat colloidal particles with silica”. Langmuir, vol. 19, pp. 6693-6700 (2003). |
Grazia et al. In-vivo biomedical monitoring by fiber-optic system. Journal of Lightwave Technology. 13, 1396-1406 (1995). |
Yellen, et al., “Statistical Analysis of Weakest Link in Chains of Magnetic Particle Carriers for Applications in Printing Biochemical Arrays”. European Cells and Materials, vol. 3, pp. 88-91 (2002). |
Grondahl, et al., “Encoding Combinatorial Libraries: A Novel Application of Fluorescent Silica Colloids”. Langmuir, vol. 16, No. 25, pp. 9709-9715 (2000). |
Gruttner, et al., “New types of silica-fortified magnetic nanoparticles as tools for molecular biology applications”. Journal of Magnetism and Magnetic Materials, vol. 94, pp. 8-15 (1999). |
Gubin et al., “Identification of the Dombrock blood group glycoprotein as a polymorphic member of the ADP-ribosyltransferase gene family”, Blood, Oct. 1, 2000, vol. 96, No. 7, pp. 2621-2627. |
Gullberg, M., et al., “Cytokine detection by antibody-based proximity ligation”. PNAS, vol. 101, No. 22, pp. 8420-8424 (Jun. 2004). |
Guo, Zhen et al. “Oligonucleotide arrays for high-throughput SNPs detection in the MHC class I genes: HLA-B as a model system”. Genome Research; vol. 12, No. 3, pp. 447-457 (Mar. 2002). |
Guo, Zhen, “Direct fluorescence analysis of genetic polymorphisms . . . oligonucleotide arrays on glass supports”. Nucleic Acids Research, Jul. 1994, Oxford Univ Press, pp. 5456-5465. |
Gupta et al. (“Hydrogels: from controlled release to pH-responsive drug delivery” Drug Discov Today. May 15, 2002;7(10):569-79. |
Gustafsdottir, S. M., “In vitro analysis of DNA—protein interactions by proximity ligation”. PNAS, vol. 104, No. 9, pp. 3067-3072 (Feb. 2007). |
Haab et al. Single Molecule Fluorescence Burst Detection of DNA Fragments Separated by Capillary Electrophoresis. Analytical Chemistry, vol. 67 (No. 18) : 3253-3256 (1995). |
Hacis et al., “Resequencing and mutational analysis using oligonucleotide microarrays”, Nature America; 21 : 42-47 (1999). |
Hakala, H., et al. “Simultaneous detection of several oligonucleotides by time-resolved fluorometry: the use of a mixture of categorized microparticles in a sandwich type mixed-phase hybridization assay”. Nucleic Acids Research, vol. 26, pp. 5581-5585 (1998). |
Hashimi et al., “A Flexible Array format for large-scale, rapid blood group DNA typing”. Transfusion, Published Online Apr. 6, 2004, vol. 45, Issue 5, pp. 680-688 (May 2005). |
Hashmi, G., et al, “Determination of 24 minor red blood cell antigens for more than 2000 blood donors by high-throughput DNA analysis”. Transfusion, vol. 47, No. 4, pp. 736-747 (Apr. 2007). |
Zaer, Farid, et al., “Antibody Screening by Enzyme-Linked Immunosorbent Assay Using Pooled Soluble HLA in Renal Transplant Candidates”. Transplantation, vol. 63, No. 1, pp. 48-51 (Jan. 15, 1997). |
Heinrich, et al., “Interleukin-6-type Cytokine Signaling through the gp 130/Jak/STAT pathway”. Biochem J, vol. 334, pp. 297-314 (1998). |
Helgesen, et al., “Aggregation of magnetic microspheres: experiements and simulations”. Physical Review Letters, vol. 61, No. 15, pp. 1736-1739 (1998). |
Helmuth, R., et al., “HLA-DQ Allele and Genotype Frequencies in Various Human Populations, Determined by Using Enzymatic Amplification and Oligonucleotide Probes”. Am. J. Hum. Genet, vol. 47, pp. 515-523 (1990). |
Hermanson, G. T., “Nucleic Acid and Oligonucleotide Modification and Conjugation”. Bioconjugate Techniques, Academic Press, Chapter 17, pp. 639-671 (Jan. 15, 1996). |
Yershov et al., “DNA analysis and diagnostics on oligonulceotide microchips”. Proceedings of the National Academy of Sciences of the United States of America, vol. 93, No. 10, pp. 4913-4918 (May 14, 1996). |
Hiller, J., et al., “Reversibly erasable nanoporous anti-reflection coatings from polyelectrolyte multilayers”. Nature Materials, vol. 1, pp. 59-63 (Sep. 2002). |
Hirata, H., et al., “Caspases Are Activated in a Branched Protease Cascade and Control Distinct Downstream Processes in Fas-induced Apoptosis”. J. Exp. Med., vol. 187, No. 4, pp. 587-600 (1998). |
Hizume, et al., “Tandem repeat DNA localizing on the proximal DAPI bands of chromosomes in Larix, pinaceae”. Genome, vol. 45, pp. 777-783 (2002). |
Holtz, J., et al., “Intelligent Polymerized Crystalline Colloidal Array. Novel Sensor Materials”, Analytical Chemistry, vol. 70, No. 4, pp. 780-791 (1998). |
Houghton. “General method for the rapid solid-phase synthesis of large numbers of peptides: specificity of anitgen-antibody interaction at the level of individual amino acids”. Proc. Natl. Avad. Sci. USA. vol. 82:5131-5135 (1985). |
Huff et al., “Technical Milestone: Development of the Logical Observation Identifier Names and Codes (LOINC) Vocabulary”. JAIMA, vol. 5, pp. 276-292 (1998). |
Iannone, Marie A., et al., “Multiplexed Single Nucelotide Polymorphism Genotyping by Oligonucleotide Ligation and Flow Cytometry”. Cytometry, vol. 39, Issue 2, pp. 131-140 (Feb. 17, 2000). |
Ide et al., “Synthesis and damage specificity of a novel probe for the detection of abasic sites in DNA”. Biochemistry. vol. 32: 8276-8283 (1993). |
Ito, Y., et al., “Patterned Immobilization of Thermoresponsive Polymer”, Langmuir, vol. 13, pp. 2756-2759 (1997). |
Iwayama, et al., “Optically Tunable Gelled Photonic Crystal Covering Almost the Entire Visible Light Wavelength Region”, Langmuir (2002). |
Jackman, R. J., et al., “Using Elastomeric Membranes as Dry Resists and for Dry Lift-Off”, Langmuir, vol. 15, pp. 2973-2984 (1999). |
Jeon, N. L., et al., “Patterned polymer growth on silicon surfaces using microcontact printing and surface-initiated polymerization”, Applied Physics Letters, vol. 75, No. 26, pp. 4201-4203 (1999). |
John C. Guatelli et al., “Isothermal, in vitro amplification of nucleic acids by a multienzyme reaction modeled after retroviral replication,” Proc. Nat'l Academy of Science USA, vol. 87: pp. 1874-1878 (1990). |
Johnson, K. L., et al., “Surface Energy and the Contact of Elastic Solids”. Proceedings of the Royal Society of London, Series A, Mathematical and Physical Sciences, vol. 324, No. 1558, pp. 301-313 (Sep. 8, 1971). |
Jones et al., “Constraint, Optimization, and Hierarchy: Reviewing Stereoscopic Correspondence of Complex Features”. Computer Vision and Image Understanding, vol. 65, No. 1, pp. 57-78 (1997). |
Jones et al., “Dielectrophoretic liquid actuation and nanodroplet formation”, Journal of Applied Physics, vol. 89, No. 2, pp. 1441-1448 (Jan. 15, 2001). |
Kakabakos et al. “Immobilization of Immunoglobulins onto Surface-treated and Untreated Polystyrene Beads for Radioimmunoassays” Clin. Chem. 36 (1990), 492-496. |
Kalinina, O., et al., “A core-shell Approach to Producing 3D Polymer Nanocomposites”, Macromolecules, vol. 32, pp. 4122-4129 (1999). |
Kamholz, et al., “Optical measurement of transverse molecular diffusion in a microchannel”. Biophysical Journal, vol. 80, pp. 1967-1972 (2001). |
Kamm, R. C., et al. “Nucleic Acid Concentrations in Normal Human Plasma”. Clinical Chemistry, vol. 18, pp. 519-522 (1972). |
Kandimalla et al., “Cyclicons as Hybridization-Based Fluorescent Primer-Probes: Bioorganic & Medicinal Chemistry 8 (2000) 1911 to 1916”. |
Kelly, J.J., et al., “Radical-generating coordination complexes as tools for rapid and effective fragmentation and fluorescent labeling of nucleic acids for microchip hybridization”. Analytical Biochemisty, vol. 311, No. 2, pp. 103-118 (Dec. 15, 2002). |
Klintschar, et al., “Genetic variation at the STR loci D12S391 and CSF1PO in four populations from Austria, Italy, Egypt and Yemen”. Forensic Sci. Int. vol. 97:37-45 (1998). |
Kim, E., et al., “Polymer microstructures formed by moulding in capillaries”, Nature, vol. 376, pp. 581-584 (1995). |
Knipper, et al., Accession No. AF221125.1.1 on Electronic Database at NCBI (Feb. 16, 2000). |
Koch et al., “PNA-Peptide Chimerae”. Tetrahedron Letters, vol. 36, pp. 6933-6936 (1995). |
Koh, et al., “Molding of Hydrogel Microstructures to Create Multiphenotype Cell Microarrays”. Analytical Chemistry (2003). |
Koh, et al., “Poly(ethylene glycol) Hydrogel Microstructures Encapsulating Living Cells”. Langmuir, vol. 18, pp. 2459-2462 (2002). |
Kolch. “Meaningful Relationships: The Regulation of the Ras/Raf/MEK/ERK pathway by protein interactions”. Biochem J, vol. 351, pp. 289-305 (2000). |
Kotov, N., et al., “Layer-by-Layer Self-Assembly of Polyelectrolyte-Semicondictor Nanoparticle Composite Films”. J. Phy Chem, vol. 99, pp. 13065-13069 (1995). |
Krausa et al. “A Comprehensive PCR-ssP typing system for identification of HLA-A locus alleles”, Tissue Antigens, 47 (3) : 237-244 (1996). |
Krsko, P., et al., “Electron-Beam Surface Patterned Poly(ethylene glycol) Microhydrogels”. Langmuir, vol. 19, pp. 5618-5625 (2003). |
Krutzik P.O. et al., “Fluorescent cell barcoding in flow cytometry allows high-throughput drug screening and signal profiling”. Nature Methods, vol. 3, No. 5, pp. 361-368 (2006). |
Kubo et al., “A Novel Sensitive and specific assay for abasic sites, the most commonly produced DNA lesion”. Biochemistry, vol. 13:3703-3708 (1992). |
Kumacheva, E., et al., “Three-dimensional Arrays in Polymer Nanocompositites”, Advanced Materials, vol. 11, No. 3, pp. 231-234 (1999). |
Kurita-Ochiai, T., et al., “Butyric Acid-Induced T-Cell Apoptosis is Mediated by Caspase-8 and -9 Activation in a Fas-Independent Manner”. Clinical and Diagnostic Laboratory Immunology, vol. 8, No. 2, pp. 325-332 (2001). |
Vorlop, K. D., et al., “Entrapment of Microbial Cells within Polyurethane Hydrogel Beads with the Advantage of Low Toxicity”, Biotechnology Techniques, vol. 6, No. 6, pp. 483-488 (1992). |
Kwoh et al., “Transcription based amplification system and detection of amplified human immunodeficiency virus type 1 with a bead-based sandwich hybridization format”. Proc. Natl. Acad. Sci, vol. 86, pp. 1173-1177 (Feb. 1989). |
LaForge, K. S., et al., “Detection of Single Nucleotide Polymorphisms of the Human Mu Opioid Receptor Gene by Hybridization of Single Nucleotide Extension on Custom Oligonucleotide Gelpad Microchips: Potential in Studies of Addiction”. American Journal of Medical Genetics (Neuropsychiatric Genetics), vol. 96, pp. 604-615 (2000). |
Lagerholm et al., “Theory for Ligand Rebinding at Cell Membrane Surfaces,” Biophysical Journal (1998), vol. 74, pp. 1215-1228. |
Lamb, D. J., et al., “Modification of Natural and Artificial Polymer Colloids by Topology-Controlled Emulsion Polymerization”. Biomacromolecules, vol. 2, No. 2, pp. 518-525 (2001). |
Lander, E. S. “The New Genomics: Global Views of Biology”. Sciences, vol. 274, No. 5287, pp. 536-539 (Oct. 25, 1996). |
Lander, E. S., et al., “Array of Hope”. Nature Genetics Supplement, Perspective, vol. 21, pp. 3-4, (Jan. 1999). |
Latour, P., et al., “Polymorphic Short Tandem Repeats for Diagnosis of the Charot-Marie-Tooth IA Duplication”. Clinical Chemistry, vol. 47, pp. 829-837 (2001). |
Lau, F. Y., et al., “Provision of phenotype-matched blood units: no need for pre-transfusion antibody screening”, Haematologica, vol. 86, No. 7, Jul. 2001, pp. 742-748. |
Lee et al. “Quantitation of residual WBCs in filtered blood components by high-throughput, real time kinetic PCR”, Blood Components, transfusion, vol. 42, pp. 87-93 (Jan. 2002). |
Lee, et al., “Combination of Insulin-like Growth FActor (IGF)-1 and IGF-Binding Protein-1 Promotes Fibroblast-Embedded Collagen Gel Contraction”. Endocrinology, vol. 137, pp. 5278-5283 (1996). |
Lee, H. J., et al., “Fabricating RNA Microarrays with RNA-DNA Surface Ligation Chemistry”. Analytical Chemistry, vol. 77, No. 23, pp. 7832-7837 (Dec. 1, 2005). |
Lee, S., et al., “Control of Core-Shell Latex Morphology”. Polymer Latexes, ACS Symposium, American Chemical Society, pp. 234-253 (1992). |
Lemieux: “high throughput single nucleotide polymorphism genotyping technology” Current Genomics. vol. 1:301-311 (2000). |
Lhomme et al. “Abasic DNA structure, reactivity and recognition”. Biopolymers. vol. 52 : 65-83 (1999). |
Li, A., et al., “Multiplexed analysis of polymorphisms in the HLA gene complex using bead array chips”. Tissue Anitigens, vol. 63, pp. 518-528 (2004). |
Liang L., et al., “Preparation of Composite-Crosslinked Poly(N-isopropylacrylamide) Gel Layer and Characteristics of Reverse Hydrophilic-Hydrophobic Surface”, Journal of Applied Polymer Science, vol. 72, pp. 1-11 (1999). |
Liang, L., et al., “Temperature-sensitive membranes prepared by UV photopolymerization of N-isoproprylacrylamide on a surface of porous hydrophilic polypropylene membranes”, Journal of Membrane Science, vol. 162, pp. 235-246 (1999). |
Liebert, M. R., et al., “Dynamics of the holes in human erythrocyte membrane ghosts”. J. Biological Chemistry, vol. 257, No. 19, pp. 11660-11666 (1982). |
Lin et al. “Raman Studies of Bovine Serum Albumin” . Biopolymers 15:203-218 (1976). |
Lindahl et al., “Rate of depuriniation of native deoxyribonucleic acid”. Biochemistry. vol. 11, No. 19: 3610-1617 (1972). |
Lindahl et al., “Rate of chain breakage at apurinic sites in double-stranded deoxyribonclueic acid” Biochemistry, vol. 11, No. 19:3618-3623 (1972). |
Lipshutz, R. J., et al., “High Density Synthetic Oligonucleotide Arrays”. vol. 21, pp. 20-24 (Jan. 1999). |
Liu, et al., “Development of a Carbon Dioxide-Base Microencapsulation Technique for Aqueous and Ethanol-Based Latexes”. Langmuir (2002). |
Liu, V, et al, “Three-Dimensional Photopatterning of Hydrogels Containing Living Cell”. Biomedical Microdevices, vol. 4, No. 4, pp. 257-266 (2002). |
Lofas, et al., “Methods for site controlled coupling to carboxymethyldextran surfaces in surface plasmon resonance sensors”. Biosensors & Bioelectronics, vol. 10, pp. 813-822 (1995). |
Loomans, E., et al., “Assessment of the functional affinity constant of monoclonal antibodies using an improved enzyme-linked immunosorbent assay”. Journal of Immunological Methods, vol. 184, pp. 207-217 (1995). |
Ye et al., “Fluorescent Microsphere-Based Readout Technology for Multiplexed Human Single Nucleotide Polymorphism Analysis and Bacterial Identification” Human Mutation, Apr. 17, 2002 (4); 305-16). |
Lund et al. Assessment of Methods for Covalent Bonding of Nucleic Acids to Magnetic Beads, Bynabeads, and the Characteristics of the Bound Nucleic Acids in Hybridization Reactions, Nucleic Acids Research vol. 16, No. 22, 10861-10880 (1988). |
Luo et al., “Emulsion Copolymerization of Butyl Acrylate with Cationic Monomer Using Interfacial Redox Initiator System”. Journal of Polymer Science, vol. 39, pp. 2696-2709 (2001). |
Lvov, Y, et al., “Alernate Assembly of Ordered Multilayers of SiO2 and Other Nanoparticles and Polyions”. Langmuir, vol. 13, pp. 6195-6203 (1997). |
MacBeath et al., “Printing proteins as microarrays for high-throughput function determination”. Science, vol. 289; pp. 1760-1763 (Sep. 8, 2000). |
Maldonado-Rodriguez et al., “Hybridization of glass-tethered oligonucleotide probes to . . . ”, Molecular Biotechnology, vol. 11, No. 1, pp. 1-12 (1999). |
Marras et al., Multiplex detection of single-nucleotide variations using molecular beacons: Genetic Analysis: Biomolecular Engineering 14 (1999) 151-156. |
Marsh, S. G. E., et al., The HLA Facts Book, “HLA Typing at the DNA Level”, Academic Press, Chapter 6, pp. 37-39 (2000). |
Martin, M., et al. “A Method for Using Serum or Plasma as a Source of DNA for HLA Typing”. Human Immunology, vol. 33, pp. 108-113 (1992). |
Martinell, J. et al., “Three mouse models of human thalassemia”, Proc. Natl. Acad. Sci, USA. Aug. 1981, vol. 78, No. 8, pp. 5056-5060 (see especially p. 5057, col. 1, last paragraph, Figure 4, and the legend to Figure 4. |
Maskos, U. et al., “Parallel analysis of oligodeoxyribonucleotide (oligonucleotide) interactions. I. Analysis of factors influencing oligonucleotide duplex formation”. Nucleic Acids Research, vol. 20, No. 7, pp. 1675-1678 (1992). |
Maskos, U., et al., “Oligonucleotide hybridisations on glass supports: a novel linker for oligonucleoptide synthesis and hybridisation properties of oligonucleotides synthesized in situ”. Nucleic Acids Research, vol. 20, No. 7, pp. 1679-1684 (1992). |
Matthews et al., “Biochemistry: A Short Course”. New York: John Wiley & Sons, Inc, p. 25 (1997). |
Maxam et al., “A new method for sequencing DNA,” Proc. Natl. Acad. Sci. USA. vol. 74, No. 2, pp. 560-564, Feb. 1977. |
McCloskey, et al., “Magnetic Cell Separation: Characterization of Magnetophoretic Mobility”. Anal. Chem., vol. 75, pp. 6868-6874 (2003). |
McCloskey, et al., “Magnetophoretic Mobilities Correlate to Antibody Binidng Capacities”. Cytometry, vol. 40, pp. 307-315 (2000). |
Mei et al. “Genome-wide Detection of Allelic Imbalance Using Human SNPs and High-Density DNA Arrays”. Genome Research. vol. 10, pp. 1126-1137 (2000). |
Michael, et al., “Randomly ordered addressable high-density optical ssensor arrays”. Anal. Chem, vol. 70, pp. 1242-1248 (1999). |
Micheletto et al., “A simple method for the production of a two-dimensional ordered array of small latex particles”. Langmuir, vol. 11, pp. 3333-3336 (1995). |
Moller, E., et al., “The Use of Magnetic Beads Coated with Soluble HLA Class I or Class II Proteins in Antibody Screening and for Specificity Determination of Donor-Reactive Antibodies”. Transplantation, vol. 61, No. 10, pp. 1539-1545 (May 27, 1996). |
Moore, et al., “The use of magnetite-doped polymeric microspheres in calibrating cell tracking velocimetry”. J. Biochem. Biophys. Methods, vol. 44, pp. 115-130 (2000). |
Morag et al. “Immobilized nitro-avidin and nitro-streptavidin as reusable affinity matrices for application in avidin-biotin technology”. Analytical Biochemistry. vol. 243: 257-263 (1996). |
Mori, et al., Computer program to predict liklihood of finding an HLA-matched donor: Methodology, validation, and application. Biology of Blood and Marrow Transplantation, vol. 2, pp. 134-144 (1996). |
Morishima et al., “Microflow system and transportation of DNA molecule by dielectrophoretic force utilizing the conformational transition in the higher order structure of DNA molecule”. Proceedings—IEEE Annual International Workshop on Micro Electro Mechanical Systems: An Investigation of micro structures, sensors, actuators, machines and robots. Nagoya, Jan. 26-30, 1997. |
Muller et al., “Gene and Haplotype Frequencies for the Loci HLA-A, HLB-B, and HLA-DR Based on Over 13,000 German Blood Donors”. Human Immunology, 2003, 64: 137-151. |
Mullis et al. Specific Synthesis of DNA in Vitro via a Polymerase-Catalyzed Chain Reaction Methods in Enzymology, 1987; vol. 155, pp. 335-350. |
Nagarajan et al., “Identifying Spots in Microarray Images”, IEEE Transactions on Nanobioscience, vol. 1, No. 2, pp. 78-84 (Jun. 2002). |
Nagayama et al., “Fabrication of two-dimensional colloidal arrays”. Phase Transitions, vol. 45, 185-203 (1993). |
Nam, J., et a., “Colorimetric Bio-Barcode Amplification Assay for Cytokines”. Anal. Chem., vol. 77, pp. 6985-6988 (2005). |
Nau et al., “A Command Processor for the Determination of Specificities fro Matrices of Reactions Between Blood Cells and Antisera”. Computers and Biomedical Research, vol. 10, pp. 259-269 (1977). |
Nazarenko et al. (2002) Multiplexed quantitiative PCR using self-quenched primers labeled with a single fluorophore. Nucleic Acids Research, 30 (9), e37. |
Niemeyer et al., “DNA-directed Immobilization: Efficient, Reversible, and Site-Selective Surface Binding of Proteins by means of Covalent Stretavidin Conjugates”. Analytical Biochemistry, vol. 268, pp. 54-63 (1999). |
Niemeyer et al., “Oligonucleotide-directed self-assembly of proteins: semisynthetic DNA—streptavidin hybrid molecules as connectors for the generation of macroscopic arrays and the construction of supramolecular bioconjugates”. Nucleic Acids Research, vol. 22, pp. 5530-5539 (1994). |
Nygren, “Molecular Diagnostics of Infectious Diseases” Royal Institute of Technology Department of Biotechnology, Stockholm 2000, pp. 1-68. |
Ohlmeyer, M. H. J. et al. “Complex Synthetic Chemical Libraries Indexed with Molecular Tags”. Proceedings of the National Academy of Sciences, USA, National Academy of Science, Washington DC. vol. 90, Dec. 1, 1993, pp. 10922-10926. |
Okubo, and Yamashita. “Thermodynamics for the preparation of micorn-sized, monodispersed highly monomer-‘absorbed’ polymer particles utilizing the dynamic swelling method.” Colloids and Surfaces, 1999:153-159. |
Okubo et al., “Preparation of micron-size monodisperse polymer particles by seeded polymerization utilizing the dynamic monomer swelling method”. Colloid and Polymer Science, vol. 269, No. 3, pp. 222-226 (1991). |
Olejnik et al., “Photocleavable biotin phosphoramidite for 5′-end-labeling, purification & phosphorylation of oligonucleotides”, Nucleic Acids Research 1996, vol. 24, 2:361-366. |
Oliver, D., et al, “Use of Single Nucleotide Polymorphisms (SNP) and Real-Time Polymerase Chain Reaction for Bone Marrow Engraftment Analysis”. Journal of Molecular Diagnostics, vol. 2, No. 4, pp. 202-208 (Nov. 2000). |
Olson et al. “A common langauage for physical mapping of the human genome”. Science, vol. 245, pp. 1434-1435 (1989). |
Otero, T. F., et al., “Electrochemically initiated acrylic acid/acrylamide copolymerization”, J. Electroanal. Chem., vol. 256, pp. 433-439 (1998). |
Otero, T. F., et al., “Electroinitiated polymerization of acrylamide in DMG: Attempts at an interfacial model”, J. Electroanal. Chem., vol. 304, pp. 153-170 (1991). |
Pastinen, et al., “A System for specific, high-throughput genotyping by allele-specific primer extension on microarrays”. Genome Res., vol. 10, pp. 1031-1042 (2000). |
Peter, C., et al., “Optical DNA-sensor chip for real-time detection of hybridization events”. Fresenius J. Anal. Chem, vol. 371, pp. 120-127 (Jun. 2001); Published online Springer-Verlay 2001. |
Wilson, M. R., et al., “A New Microsphere-based Immunofluorescence Assay for Antibodies to Membrane-associated Antigens”. Journal of Immunological Methods, vol. 107, pp. 231-237 (1988). |
Peterson, et al. “Fiber Optic pH probe for physiological use”. Anal. Chem. vol. 52, 864-869 (1980). |
Peterson, et al., “Fiber Optic Sensors for Biomedical Applications”. Science, vol. 13; pp. 123-127 (1984). |
Peytavi et al., “Correlation between microarray DNA hybridization efficiency and the position of short capture probe on the target nucleic acid”. Biotechniques, vol. 39, No. 1, pp. 89-96 (2005). |
Pooga, M., et al., “Cell-Penetrating constructs regulate galanin receptor levels and modify pain transmission in vivo” Nature Biotechnology, vol. 16, pp. 857-861 (1998). |
Pope. “Fiber optic chemical microsensors employing optically active silica microspheres”. SPIE, vol. 2388; pp. 245-256 (1995). |
Prati D. et al., DNA Enzyme Immunoassay of the PCR-Amplified HLA-DQ Alpha Gene for Estimating Residual Leukocytes in Filtered Blood Clincial and Diagnostic Laboratory Immunology, Mar. 1995, p. 182-185. |
Pregibon et al, “Magnetically and Biologically Active Bead-Patterned Hydrogels”. Langmuir, vol. 22, pp. 5122-5128 (2006). |
Preza, “Phase Estimation using rotational diversity for differential interference contrast microscopy”. Dissertation presented to the Washington University, Server Institute of Technology, Department of Electrical Engineering; St. Louis, MO (Aug. 1998). |
Proudinikov et al., “Chemical methods of DNA and RNA fluorescent labeling”. Nucleic Acids Research. vol. 24, No. 22: 4535-4542 (1996). |
Proudnikov , D., et al., “Immobilization of DNA in Polyacrimide Gel for the Manufacture of DNA and DNA-Oligonucleotide Microchips”, Analytical Biochemistry, vol. 259, pp. 34-41 (1998). |
Quon, R., et al., “Measurement of the Deformation and Adhesion of Rough Solids in Contact”. J. Phys. Chem., vol. 103, pp. 5320-5327 (1999). |
Rabbany et al., “Assessment of hetrogeneity in antibody displacement reactions”. Anal Chem, vol. 69, pp. 175-182 (1997). |
Radtchecnko et al., “Core-shell structures formed by the solvent-controlled precipitation of luminescent ScTe nanocrystals on latex spheres”. Advanced Materials, vol. 13, No. 22, pp. 1684-1687 (2001). |
Radtkey et al., “Rapid, high-fidelity analysis of simple sequence repeats on an electronically active DNA microchip”. Nucleic Acids Research, vol. 28, No. 7, p. e17 (2000). |
Ramsay, G., “DNA Chips: State-of-the-Art”. Nature Biotechnology, vol. 16, pp. 40-44 (Jan. 1998). |
Reddy et al., “Determination of the Magnetic Susceptibility of Labeled Particles by Video Imaging”. Chemical Engineering Science, vol. 51, No. 6, pp. 947-956 (1996). |
Reid M.E., et al., “Novel Dombrock blood group genetic variants . . . ”, Blood (ASH Annual Meeting Abstract) 2004, 104: Abstract 383. |
Relogio, A. et al., “Optimization of oligonucleotide-based DNA microarrays”, Nucl. Acids Res., vol. 30, e51, pp. 1-10 (2002). |
Richardson et al., “The use of coated paramagnetic particles as a physical label in a magneto-immunassay”. Biosensors & Bioelectronics, vol. 16, pp. 989-993 (2001). |
Richardson, et al., “A novel measuring system for the determination of paramagnetic particle lables for use in magneto-immunoassays”. Biosensors & Bioelectronics, vol. 16, pp. 1127-1132 (2001). |
Richetti et al., “Two-dimensional aggregations and crystallization of a colloidal suspension of latex spjeres”, J. Physique Letter. vol. 45, pp. L-1137 to L-1143 (1984). |
Righetti, P. G., et al., “Electrophoresis gel media: the state of the art”, J. Chromatogr B., Biomed Sci Appl, vol. 699, No. 1-2, pp. 63-75 (Oct. 10, 1997). |
Roberts et al. “Patterned magnetic bar array for high-thoughput DNA detection” IEEE Transaction on Magnetics. vol. 40, No. 4: 3006-3008 (2004). |
Rubina et al, “Hydrogel drop microchips with immobilized DNA: properties and methods for large-scale production”. Analytical Biochemistry, vol. 325, pp. 92-106 (2004). |
Rudzinski, et al., “pH-sensitive acrylic-based copolymeric hydrogels for the controlled release of a pesticide and a micronutrient”. Journal of Applied Polymer Science, vol. 87, pp. 394-403 (2003). |
Sacchetti, et al. “Efficiency of Two Different Nine-Loci Short Tandem Repeat Systems for DNA Typing Purposes”. Clinical Chemistry, vol. 45, No. 2, pp. 178-183 (1999). |
Saito, K., et al., “Detection of Human Serum Tumor Necrosis Factor-alpha in Healthy Donors, Using a Highly Sensitive Immuno-PCR Assay”. Clinical Chemistry, vol. 45, No. 5, pp. 665-669 (1999). |
Sambrook et al., “Precipitation with Ethanol or Isopropanol”, Concentrating Nucleic Aicds, Molecular Cloning vol. 3, pp. E3-E4 and E.10-E.15 (1989). |
Sano, T, et al., “Immuno-PCR: Very Senisltive Antigen Detection by Means of Specific Antibody-DNA Conjugates”. Science, vol. 258, pp. 120-122 (Oct. 2, 1992). |
Santa Lucia, J. Jr., “A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics”. PNAS USA, vol. 95, pp. 1460-1465 (1998). |
Schaid et al., “Score Tests for Association between traits and Haplotypes when Linkage Phase is Ambiguous”, American Journal of Genetics. vol. 70, pp. 425-434 (2002). |
Schena et al., “Quantitative Monitoring of Gene Expression Patterns with a Complementary DA Microarray”. Science, vol. 270, pp. 467-470 (1995). |
Schouten, Jan P., et al., “Relative Quantification of 40 Nucleic Acid Sequences by Multiplex Ligation-Dependent Probe Amplification”. Nucleic Acids Research, vol. 30, No. 12, e57 (Jun. 15, 2002). |
Schreiber, G. B., et al., “Increasing Blood Availability by changing Donation Patterns”. Transfusion, vol. 43, pp. 591-597 (2003). |
Schreuder et al., “The HLA Dictionary 1999: A Summary of HLA-A, B, C, DRB1/3/4/5, DOB1 alleles and their association with serologically defined HLA-A, B, C, DR and DQ antigens”, Tissue Antigens 54 : 409-437 (1999). |
Schumaker, et al., “Mutation Detection by solid phase primer extension”, Human Mutation 7:346-354 (1996). |
Wilson et al., “A generalized method for magnetite nanoparticle steric stabilization utilizing block copolymers containing carboxylic acids”. European Cells and Materials, vol. 2, Suppl 2, pp. 202-209 (2002). |
Schuster et al. “Allele-specific and asymetric polymerase chain reacton amplification in combination: a one step polymerase chain protocol for rapid diagnosis of familial defective apolipoprotein B-100”, Anal Biochem. Jul. 1992; 204 (1):22-5). |
Scillian, James J., et al., “Early Detection of Antibodies Against rDNA-Produced HIV Proteins with a Flow Cytometric Assay”. Clinical Chemistry, vol. 40, No. 3, pp. 420-425 (1994). |
Scott et al., “Properties of Fluorophores on solid phase resins; Implications for screening, encoding and reaction monitoring”. Bioorganic & Medicinal Chemistry Letter, vol. 7, No. 12, pp. 1567-1572 (1997). |
S. Dubiley et al., “Polymorphism Analysis and Gene Detection by minsequencing on an array of gel immobilized primers.” Nucleic Acids Research, 1999; i-vi. vol. 27, No. 16. |
S. Ebel et al. “Very Stable Mismatch Duplexes: Structural and Thermodynamic Studies on G-A Mismatches in DNA” Biochemistry 31:12083-86 (1992). |
Seeman, P., et al., “Structure of Membrane Holes in Osmotic and Saponin Hemolysis”; The Journal of Cell Biology, vol. 56; pp. 519-527 (1973). |
Sehgal et al. “A method for the high effieiency of water-soluble carbodiimide-mediated amidation”. Analytical Biochemistry. vol. 218:87-91 (1994). |
Seltsam, et al., Systematic analysis of the ABO gene diversity within exons 6 and 7 by PCR screening reveals new ABO alleles, Transfusion, vol. 43, pp. 428-439 (2003). |
Sennerfors, T., et al., “Adsorption of Polyelectrolyte-Nanoparticle Systems on Silica: Influence of Ionic Strength”. Journal of Colloid and Interface Science, vol. 254, pp. 222-226 (2002). |
Serizawa, T., et al., “Electrostatic Adsorption of Polystyrene Nanospheres onto the Surface of an Ultrathin Polymer Film prepared by Using an Alternate Adsorption Technique”. Langmuir, vol. 14, pp. 4088-4094 (1998). |
Sethu, P; “Microfluidic diffusive filter for apheresis (leukopheresis)”; Lab Chip, vol. 6, No. 1, pp. 83-89 (Jan. 2006); Published electronically Nov. 11, 2005. |
Seul et al., “Domain Shapes and Patterns: The Phenomenology of Modulated Phases”. Science, vol. 267:476-483 (1995). |
Seul et al., “Scale transformation of magnetic bubble arrays: coupling of topological disorder and polydispersity”. Science, vol. 262 : 558-560 (1993). |
Sgaramella, V., et al., “Total Synthesis of the Structural Gene for an Alanine Transfer RNA from Yeast. Enzymic Joining of the Chemically Synthesized Polydeoxynucleotides to form the DNA Duplex Representing Nucleotide Sequence 1 to 20”. J. Mol. Biology, vol. 72, pp. 427-444 (1972). |
Sham , P. et al., “Haplotype Association of Discrete and Continuous Traits Using Mixture of Regression Models”, Behavior Genetics, Mar. 2004, 34(2), pp. 207-214. |
Shevkoplyas, S., et al., “Biomimetic autoseparation of leukocytes from whole blood in a microfluidic device”; American Chemical Society; vol. 77, No. 3, pp. 933-937 (Feb. 1, 2005). |
Shon. “Application Note—New Best Practices for Biosample Management: Moving Beyond Freezers”. American Biotechnology Laboratory, vol. 23, No. 2, pp. 10-13 (2005). |
Shoyer, Terrie W., et al., “A Rapid Flow Cytometry Assay for HLA Antibody Detection Using a Pooled Cell Panel Convering 14 Serological Crossreacting Groups”. Transplantation, vol. 59, No. 4, pp. 626-630 (1995). |
Siegel, D., “Phage display-based molecular methods in immunohematology”. Transfusion, vol. 47, pp. 89S-94S (Jul. 2007 Supplement). |
Simon, R. “Application of optimization methods to the hematological support of patients with disseminated malignacies”, Mathematical Biosciences, vol. 25, 1975, pp. 125-138. |
Skalnik et al., “A Rapid Method for Characterizing transgenic Mice”, S. Biotechniques 8:34 (1990). |
Skolnick et al. “Simultaneous analysis of multiple polymorphic loci using amplified sequence polymorphisms (ASPS)”. Genomics, vol. 2, pp. 273-279 (1988). |
Smay, J., et al., “Colloidal Inks for Directed Assembly of 3-D Peridoic Structures”. Langmuir, vol. 18, pp. 5429-5437 (2002). |
Smith, J. W., et al., “RED: A Red-Cell Antibody Identification Expert Module”. Journal of Medical Systems, vol. 9, No. 3, pp. 121-138 (1985). |
Southern E. M., “DNA Fingerprinting by hybridisation to oligonucleotide arrays”. Electrophoresis, vol. 16, No. 9, pp. 1539-1542 (1995). |
Southern, E. M., et al., “Analyzing and comparing nucleic acid sequences by hybridization to arrays of oligonucleotides: evaluation using experimental models”. vol. 13, No. 4, pp. 1008-1017 (Aug. 1992). |
St. Louis, M, et al., “The Dombrock blood group system: A Review” , Transfusion 43: 1126-1132 (2003). |
Steemers, F.J. (2000) Screening unlabeled DNA targets with randomly ordered fiber-optic gene arrays. Nat. Biotechnol., 18, 91-94. |
Stemmer, C., et al., “Use of Magnetic Beads for Plasma Cell-free DNA Extraction: Toward Automation of Plasma DNA Analysis for Molecular Diagnostics”. Clinical Chemistry, vol. 49, No. 11, pp. 1953-1955 (2003). |
Stevens, P. W., et al. “Imaging and Analysis of Immobilized Particle Arrays”. Analytical Chemistry. vol. 75, pp. 1147-1154 (2003). |
Storry et al, “Genetic Basis of blood group diversity”. British Journal of Haematology, vol. 126, pp. 759-771 (2004). |
Strobel E., et al., “The molecular basis of Rhesus antigen E”, Transfusion 44:407-409 (2004). |
Sukhishvilli, S.A. et al. “Adsorption of human serum albumin: Dependence on molecular architecture of the oppositely charged surface” J. Chem. Phys. 110, 10153-10161 (1999). |
Sun et al., “Continuous, Flow-Through Immunomagnetic Cell Sorting in a Quadrupole Field”. Cytometry, vol. 33, pp. 469-475 (1998). |
Suzawa et al., “Adsorption of Plasma Proteins onto Polymer Latices”. Advances in Colloid and Interface Science, vol. 35, pp. 139-172 (1991). |
Svitel, et al., “Combined Affinity and Rate Constant Distributions of Ligand Populations from Experimental Surface Binding Kinetics and Equilibria”. Biophysical Journal, vol. 84, pp. 4062-4077 (Jun. 2003). |
Syvanen, “From Gels to Chips: Minisequencing Primer Extensions for Analysis of Pont Mutations and Single Nucelotide Polymorphisms”, Human Mutation 13:1-10 (1999). |
Syvanen, A., et al., “Identification of Individuals by Analysis of Biallelic DNA Markers, Using PCR and Solid-Phase Minisequencing”. Am. J. Hum. Genet, vol. 52, pp. 46-59 (1993). |
Syvannen, A. “Toward genone-wide SNP genotyping”. Nature Genetics Supplement. vol. 37: s5-s10 (2005). |
Sze. MIS Diode and Charge-Coupled Device. The Physics of Semiconductors, Chapter 7, pp. 362-430 (2nd Edition) (1981). |
Takeda et al. “Conformational Change of Bovine Serum Albumin by Heat Treatment”, J. Protein Chemistry 8:653-659, No. 5 (1989). |
Tanaka, T., et al., “Mechanical instability of gels at the phase transition”, Nature, vol. 325, pp. 796-798 (1987). |
Taniguchi et al. “Adsorption/desorption behavior and covalent grafting of an antibody onto cationic amino-functionalized poly(styrene-N-isoprapylacrylamide) core-shell latex particles”. Colloids and Surfaces B: Biointerfaces. vol. 29: 53-65 (2003). |
Tarnok et al., “Cytometric Bead Array to Measure Six Cytokines in Twenty-Five Microliters of Serum,” Clinical Chemistry, (2003), vol. 49, No. 6, pp. 1000-1002. |
Taylor et al., “Linked oligodeoxynucleotides show binding cooperativity and can selectively impair replication of deleted mitochondrial DNA templates”, Nucleic Acids Research. vol. 29, No. 16, pp. 3404-3412 (2001). |
Tobitani et al. “Heat-induced gelation of globular proteins. 1. Model for the effects of time and temperature onthe gelation time of BSA gels.” Macromolecules. vol. 30:4845-4854 (1997). |
Tokumasu F. et al., Development and application of quantum dots for immunocytochemistry of human erythrocytes, J. Microscopy, 2003, pp. 256-261, vol. 211, pt. 3. |
Tonisson et al., “Arrayed primer extension on the DNA chip; Method and applications”, Microarray Biochip Technology, Biotechniques Books, 247-262 (2000). |
Tsuchihashi, Z. et al. “Progress in high throughput SNP genotyping methods”, The Pharmacogenomics Journal 2:103-110 (Apr. 2002). |
Trau et al., “Field-induced layering of colloidal crystal”, Science, vol. 272; pp. 706-709 (1996). |
Trang D.T.X. et al. “One step concentration of malarial parasite-infected red blood cells and removal of contaminating white blood cells” , Malaria Journal (2004) pp. 1-7 from http://www.malariajournal.com/content/3/1/7. |
Trau et al., “Nanoencapsulated microcrystalline particles for superamplified biochemical assays”. Anal. Chem, vol. 74, No. 21, pp. 5480-5486. Web Release Date: Sep. 25, 2002. |
Turcanu et al, “Cell Identification and isolation on the basis of cytokine secretion: A novel tool for investigating immune responses”. Nature Medicine, vol. 7, No. 3, pp. 373-376 (Mar. 2001). |
Tyagi et al., Molecular Beacons: Probes that Flouresce upon Hybridization, Nature Biotechnology vol. 14, pp. 303-308 (1996). |
Vainrub, A., et al., “Sensitive quantitative nucleic acid detection using oligonucleotide microarrays”. Journal of the American Chemical Society, vol. 125, No. 26, pp. 7798-7799, (Jun. 2003). |
Van Kempen, et al., “Mean and Variance of Ratio Estimators Used in Fluorescence Ratio Imaging”. Cytometry, vol. 39, pp. 300-305 (2000). |
Van Zoelen, “Receptor-ligan interaction: a new method for determing binding parameters without a priori assumptions on non-specific binding”. Biochem J., vol. 262, pp. 549-556 (1989). |
Vasiliskov, A. V., et al., “Fabrication of Microarray of Gel-Immobilized Compounds on a Chip by Copolymerization”. BioTechniques, vol. 27, pp. 592-606 (Sep. 1999). |
Vaynberg et al. “Structure and extent of absorded gelatin on acrylic latex and polystyrene collodial particles”. Journal of Colloid and Interface Science. vol. 205:131-140 (1998). |
Vet, J.A.M. (1999) Multiplex detection of four pathogenic retroviruses using molecular beacon. Proc. Natl. Acad. Sci. USA, 96, 6394-6399. |
Vilain. “CYPs, SNPs, and Molecular Diagnosis in the Postgenomic Era”. Clinical Chemistry, vol. 44, pp. 2403-2404 (1998). |
Wahl et al., “Efficient transfer of large DNA fragments from agarose gels to diazobenzyloxymethyl-paper and rapid hybridization by using dextran sulfate”. Proc. Natl. Acad. Sci. USA. vol. 76, No. 8: 3683-3687 (1979). |
Wang, D., et al, “Large-Scale Identification, Mapping, and Genotyping of Single-Nucleotide Polymorphisms in the Human Genome”. Science, vol. 280, No. 5366, pp. 1077-1082 (May 15, 1998). |
Warren, J. A., “Selected Spacings During Directional Solidification of a Binary Alloy”, Spatio-Temporal Patterns, Ed. P. E., Cladis and P. Palffy-Muhoray, SFI Studies in the Science of Complexity, Addison-Wesley, pp. 91-105 (1995). |
Weinfeld et al., “Selective hydrolysis by exo- and endonucleases of phosphodiester bonds adjacent to an apurinic site”. Nucleic Acids Research, vol. 17, No. 10: 3735-3744 (1989). |
Weissenbach et al. “A Second generation linkage map of the human genome”. Nature, vol. 359, pp. 794-801 (1992). |
Wen, et al., “Planar Magnetic Colloidal Crystals”. Physical Review Letters, vol. 85, No. 25, pp. 5464-5467 (2000). |
Wiedmann, M., et al., Ligase Chain Reaction (LCR)—Overview and Applications, PCR Methods and Applications, Genome Research, vol. 3, pp. s51-s64 (1994). |
Yeang et. al. Molecular classification of multiple tumor types. Bioinformatics vol. 17 Suppl. 1, pp. s316-s322 (2001). |
J.F. Chapman et al., “Working Party of the BCSH: Guidelines for compatibility procedures in blood transfusion laboratories”, Transfusion Medicine, vol. 14, pp. 59-73 (2004). |
Yamashita et al., “Thermodynamics for the preparation of micron-sized, monodispersed highly monomer absorbed polymer particles utilizing the dynamic selling method”. Colloids and Surfaces, vol. 153, pp. 153-159 (1999). |
Yao et al., “Molecular-beacon-based array for sensitive DNA analysis”. Analytical Biochemistry, vol. 331, pp. 216-223 (2004). |
Fukuda et al., “Noncontact manipulation of DNA molecule 1. Transportation of DNA molecule by dielectric force”. Nippon Kikai Gakkai Ronbunshu, vol. 62: 2765-2772 (1996). |
Friedli, Interaction of SWP with Bovine Serum Albumin (BSA) and Soluble Wheat Protein (SWP) (7 pages) downloaded http://www.friedli.com/research/PhD/chapter5a.html; Georges-Louis Friedli 1996. |
Hermanson, Greg T., “Zero Length Cross-Linkers”; Bioconjugate Techniques; Academic Press, pp. 170-176 (1996). |
Hermanson, Greg T., “Bioconjugate Techniques”, Bioconjugate Techniques; Academic Press, San Diego, 430-33, (1996). |
MacBeath et al., “Printing proteins as microarrays for high-throughput function determination,” Science vol. 289: 1760-1763 (2000). |
Tobitani et al. “Heat-induced gelation of globular proteins 2. Effect of environmental factors on single-component and mixed-protein gels,” Macromolecules; vol. 30: 4855-4862 (1997). |
Wittemann et al., “Interaction of Proteins with Spherical Polyelectrolyte Brushes” (Polyer Institute, University of Karisruhe, Karisruhe, Germany) Poster Oct. 2001. |
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