Digital assays generally rely on the ability to detect the presence or activity of individual copies of an analyte in a sample. In an exemplary digital assay, a sample is separated into a set of partitions, generally of equal volume, with each containing, on average, less than about one copy of the analyte. If the copies of the analyte are distributed randomly among the partitions, some partitions should contain no copies, others only one copy, and, if the number of partitions is large enough, still others should contain two copies, three copies, and even higher numbers of copies. The probability of finding exactly 0, 1, 2, 3, or more copies in a partition, based on a given average concentration of analyte in the partitions, is described by a Poisson distribution. Conversely, the concentration of analyte in the partitions (and thus in the sample) may be estimated from the probability of finding a given number of copies in a partition.
Estimates of the probability of finding no copies and of finding one or more copies may be measured in the digital assay. Each partition can be tested to determine whether the partition is a positive partition that contains at least one copy of the analyte, or is a negative partition that contains no copies of the analyte. The probability of finding no copies in a partition can be approximated by the fraction of partitions tested that are negative (the “negative fraction”), and the probability of finding at least one copy by the fraction of partitions tested that are positive (the “positive fraction”). The positive fraction or the negative fraction then may be utilized in a Poisson equation to determine the concentration of the analyte in the partitions.
Digital assays frequently rely on amplification of a nucleic acid target in partitions to enable detection of a single copy of an analyte. Amplification may be conducted via the polymerase chain reaction (PCR), to achieve a digital PCR assay. The target amplified may be the analyte itself or a surrogate for the analyte generated before or after formation of the partitions. Amplification of the target can be detected optically from a fluorescent probe included in the reaction. In particular, the probe can include a dye that provides a fluorescence signal indicating whether or not the target has been amplified.
A digital PCR assay can be multiplexed to permit detection of two or more different targets within each partition. Amplification of the targets can be distinguished by utilizing target-specific probes labeled with different dyes. If a detector for a digital PCR assay can distinguishably measure the fluorescence emitted by N different dyes, then the assay is effectively capable of measuring N different targets. However, instruments with more optical channels, to detect emission from more dyes, are more expensive than those with fewer channels. Also, increasing the number of distinguishable dyes is expensive and becomes impractical beyond a certain number. On the other hand, many applications, especially where sample is limited, could benefit greatly from higher degrees of multiplexing.
A new approach is needed to increase the multiplex levels of digital assays.
The present disclosure provides a system, including methods and apparatus, for performing a digital assay with multiplexed detection of two or more distinct targets in the same optical channel.
The present disclosure provides a system, including methods and apparatus, for performing a digital assay on a potentially greater number of targets through multiplexed detection of signals from reporters for two or more distinct targets in a common or shared channel (“the same optical channel”). The reporters may include the same fluorophore, such as FAM or VIC, or different fluorophores with similar spectral characteristics, so that light from two or more reporters may be collected simultaneously in the same optical channel. The assays may be constructed so that data for each target are distinguishable, for example, by choosing assays for each target that have sufficiently distinct endpoints (or time courses). The contents of each sample or sample partition may then be determined: those with no targets, those with a first assay (assay1) target, those with a second assay (assay2) target, and those with both, in a two-target assay. The total number of droplets positive for each target (e.g., target 1 and target 2) can be estimated by taking into account the total number of droplets in each population. Concentrations for each target may be estimated based on the number of droplets positive for each target and the total number of droplets, for example, using Poisson statistics. Moreover, the relative numbers of different targets (including reference targets) may be estimated, allowing determination of copy number (CN), copy number variation (CNV), and the presence/abundance of single nucleotide polymorphisms (SNPs), among other quantities. Copy number represents the number of copies of a given target present in a genome (e.g., humans have a diploid genome with a copy number of two for most autosomal genes). Copy number variation is a structural variation in the genome, such as deletions, duplications, translocations, and/or inversions, which may be a major source of heritable genetic variation, including susceptibility to disease (or disease itself) and responsiveness to disease treatment.
The assays may be extended in various ways. In some embodiments, the assays may involve analysis of more than two targets in the same channel. For example, an assay for three targets may generate eight clusters or populations of data, separated by intensity. In the same or other embodiments, some targets may be analyzed in one channel (e.g., a FAM channel), and one or more other targets may be analyzed in one or more other channels (e.g., a VIC channel). Three targets, two in a first channel and one in a second channel, would again generate eight clusters or populations of data, but they would be separated in a two-dimensional intensity space and so in principle more easily resolvable.
Further aspects of the present disclosure are presented in the following sections: (I) system overview, and (II) examples.
This section provides an overview of exemplary methods and apparatus for performing digital assays, in accordance with aspects of the present disclosure.
Sample Preparation.
A sample may be prepared for the assay, indicated at 42. Preparation of the sample may include any suitable manipulation of the sample, such as collection, dilution, concentration, purification, lyophilization, freezing, extraction, combination with one or more assay reagents, performance of at least one preliminary reaction to prepare the sample for one or more reactions in the assay, or any combination thereof, among others. Preparation of the sample may include rendering the sample competent for subsequent performance of one or more reactions, such as one or more enzyme catalyzed reactions and/or binding reactions.
In some embodiments, preparation of the sample may include combining the sample with reagents for amplification and for reporting whether or not amplification occurred. Reagents for amplification may include any combination of primers for the targets, dNTPs and/or NTPs, at least one enzyme (e.g., a polymerase, a ligase, a reverse transcriptase, or a combination thereof, each of which may or may not be heat-stable), and/or the like. Accordingly, preparation of the sample may render the sample (or partitions thereof) capable of amplification of each of one or more targets, if present, in the sample (or a partition thereof). Reagents for reporting may include reporters for each target of interest. Accordingly, preparation of the sample for reporting may render the sample capable of reporting, or being analyzed for, whether or not amplification has occurred, on a target-by-target basis, and optionally the extent of any such amplification. The reporters each may be a labeled probe that includes a nucleic acid (e.g., an oligonucleotide) labeled with a luminophore, such as a fluorophore.
Sample Partitioning.
The sample may be separated into partitions, indicated at 44. Separation of the sample may involve distributing any suitable portion including up to all of the sample to the partitions. Each partition may be and/or include a fluid volume that is isolated from the fluid volumes of other partitions. The partitions may be isolated from one another by a fluid phase, such as a continuous phase of an emulsion, by a solid phase, such as at least one wall of a container, or a combination thereof, among others. In some embodiments, the partitions may be droplets disposed in a continuous phase, such that the droplets and the continuous phase collectively form an emulsion.
The partitions may be formed by any suitable procedure, in any suitable manner, and with any suitable properties. For example, the partitions may be formed with a fluid dispenser, such as a pipette, with a droplet generator, by agitation of the sample (e.g., shaking, stirring, sonication, etc.), and/or the like. Accordingly, the partitions may be formed serially, in parallel, or in batch. The partitions may have any suitable volume or volumes. The partitions may be of substantially uniform volume or may have different volumes. Exemplary partitions having substantially the same volume are monodisperse droplets. Exemplary volumes for the partitions include an average volume of less than about 100, 10 or 1 μL, less than about 100, 10, or 1 nL, or less than about 100, 10, or 1 pL, among others.
The partitions, when formed, may be competent for performance of one or more reactions in the partitions. Alternatively, one or more reagents may be added to the partitions after they are formed to render them competent for reaction. The reagents may be added by any suitable mechanism, such as a fluid dispenser, fusion of droplets, or the like.
Sample Reactions.
One or more reactions may be performed in the partitions, indicated at 46. Each reaction performed may occur selectively (and/or substantially) in only a subset of the partitions, such as less than about one-half, one-fourth, or one-tenth of the partitions, among others. The reaction may involve a target, which may, for example, be a template and/or a reactant (e.g., a substrate), and/or a binding partner, in the reaction. The reaction may occur selectively (or selectively may not occur) in partitions containing at least one copy of the target.
The reaction may or may not be an enzyme-catalyzed reaction. In some examples, the reaction may be an amplification reaction, such as a polymerase chain reaction and/or ligase chain reaction. Accordingly, a plurality of amplification reactions for a plurality of targets may be performed simultaneously in the partitions.
Performing a reaction may include subjecting the partitions to one or more conditions that promote occurrence of the reaction. The conditions may include heating the partitions and/or incubating the partitions at a temperature above room temperature, such as at a denaturation temperature, an annealing temperature, and/or an extension temperature. In some examples, the conditions may include thermally cycling the partitions to promote a polymerase chain reaction and/or ligase chain reaction.
Signal Creation.
One or more signals may be created that are representative of light detected from the partitions, indicated at 48. The signal may represent an aspect of light, such as the intensity of the light, detected in the same optical channel from reporters for two or more distinct targets. The signals optionally may include data collected in one or more different channels (e.g., in different wavelength ranges (color regimes) from reporters for the same and/or different targets). The light detected from each reporter may be light emitted from a luminophore. The light detected in a given channel may be detected with the same sensor at the same time such that light detected from different reporters is summed or accumulated without attribution to a particular reporter. Thus, the signal may be a composite signal that represents two, three, four, or more reactions and thus two, three, four, or more targets of the reactions.
An optical channel represents a particular detection regime with which emitted light is generated and detected. The detection regime may be characterized by a wavelength or waveband (i.e., a wavelength regime) for detection of emitted light. If pulsed excitation light is used in the detection regime to induce light emission, the detection regime may be characterized by a wavelength or waveband for illumination with excitation light and/or a time interval during which light emission is detected with respect to each light pulse. Accordingly, optical channels that are different from each other may differ with respect to the wavelength/waveband of excitation light, with respect to the wavelength/waveband of emitted light that is detected, and/or with respect to the time interval during which emitted light is detected relative to each pulse of excitation light, among others.
The signal may be created based on detected light emitted from one or more reporters in the partitions. The one or more reporters may report whether at least one of two or more particular reactions represented by the signal has occurred in a partition and thus whether at least one copy of at least one of two or more particular targets corresponding to the two or more particular reactions is present in the partition. The strength of the signal corresponding to the reporters may be analyzed to determine whether or not at least one of the particular reactions has occurred and at least one copy of one of the particular targets is present. The strength may vary among the partitions according to whether at least one of the particular reactions occurred or did not occur (e.g., above a threshold and/or within a range) and at least one of the particular targets is present or absent in each partition.
Partitions may be analyzed and signals created at any suitable time(s). Exemplary times include at the end of an assay (endpoint assay), when reactions have run to completion and the data no longer are changing, or at some earlier time, as long as the data are sufficiently and reliably separated.
Number of Positives.
A number of partitions that are positive (or negative) for each target may be determined for the signal, indicated at 50. The signal detected from each partition, and the partition itself, may be classified as being positive or negative for each of the reactions/targets contributing to the signal. Classification may be based on the strength (and/or other suitable aspect) of the signal. If the signal/partition is classified as positive (+), for a given target, the reaction corresponding to that target is deemed to have occurred and at least one copy of the target is deemed to be present in the partition. In contrast, if the signal/partition is classified as negative (−), for a given target, the reaction corresponding to that target is deemed not to have occurred and no copy of the target is deemed to be present in the partition (i.e., the target is deemed to be absent from the partition). The data including all permutations of positives will generally fall into 2N populations or clusters, where N is the number of targets, assuming that each population is distinguishable. Exemplary results for one, two, and three target systems in which data are collected in a single channel are shown in the following tables:
Target Level Determination.
A level of each target may be determined, indicated at 52. The level of each target may be determined based on the respective numbers of partitions positive for the target alone and for the target in combination with any other target(s). The calculation may be based on each target having a Poisson distribution among the droplets. The level may be a concentration. The levels may, for example, be estimated based on finding solutions to a series of linear equations. The total number of partitions may be counted or, in some cases, estimated. The partition data further may be used (e.g., directly and/or as concentration data) to estimate copy number (CN) and copy number variation (CNV), using any suitable algorithms such as those described elsewhere in the present disclosure.
Further aspects of sample preparation, droplet generation, signal detection, counting droplets, and target level determination, among others, that may be suitable for the system of the present disclosure are identified above in the Cross-References, which are incorporated herein by reference.
Apparatus 60 may operate as follows. Droplet generator 62 may form droplets disposed in a continuous phase. The droplets may be cycled thermally with thermocycler 64 to promote amplification of targets in the droplets. Signals may be detected from the droplets with detector 66. The signals may be processed by processor 68 to determine numbers of droplets and/or target levels, among others
This section presents selected aspects and embodiments of the present disclosure related to methods of performing digital assays with multiplexed detection of two or more targets in the same channel.
This example describes an exemplary digital PCR assay with multiplexed detection of two targets, using two probes, analyzed in the same channel. Other assays may involve three or more targets and three or more probes, where at least two targets are analyzed in the same channel.
Each oligonucleotide may provide target specificity by hybridization predominantly or at least substantially exclusively to only one of the two targets. Hybridization of the oligonucleotide to its corresponding target is illustrated schematically at 98.
Fluorophores 92, 94, which may be the same or different, create detectable but distinguishable signals in the same channel, allowing multiplexing in that channel. The signals may be distinguishable because an aspect of the fluorescence is different for one fluorophore than for the other fluorophore(s). For example, the intensity associated with one fluorophore, following reaction, may be lower or higher than the intensity(ies) associated with the other fluorophore(s). In some embodiments, one probe may be labeled with a different number of fluorophores than the other probe, and/or the probes may be located in slightly different local environments, creating a different level of fluorescence for each probe following reaction. Alternatively, or in addition, both probes may be labeled with the same number of fluorophores (e.g., one fluorophore), but there may be more or less of one probe than the other in the sample, so that a greater or smaller signal is created when the reactions have occurred. In some cases, the fluorophores themselves might be different, with one more or less intrinsically fluorescent than the other (e.g., due to differences in extinction coefficient, quantum yield, etc.), so long as each fluorophore can be detected in the same channel. Exemplary fluorophores that may be suitable include FAM, VIC, ROX, TAMRA, JOE, etc., among others.
Quencher 96 is configured to quench the signal produced by fluorophore 92 or 94 in a proximity-dependent fashion. Accordingly, light detected from the fluorophore may increase when the associated oligonucleotide 88 or 90 binds to the amplified target, to increase the separation between the fluorophore and the quencher, or when the probe is cleaved and the fluorophore and quencher become uncoupled during target amplification, among others. The quencher may be the same or different for each type of fluorophore. Here, the assay is designed so that the presence of a target gene leads to an increase in corresponding intensity, because amplification reduces quenching. In other assays, the reverse could be true, such that the presence of a target caused a decrease in corresponding intensity (although it typically is easier to detect a signal against a dark background than the opposite). Moreover, some embodiments may be constructed without a quencher, so long as the fluorescence and so the signal changes upon amplification.
In the present example, each droplet, whether positive or negative for each target, produces an increase in signal strength above the baseline signal that forms an identifiable peak 106, 108, 110, 112. Accordingly, the signal may vary in strength with the presence or absence of a droplet and with the presence or absence of a corresponding target.
The assignment of a droplet to a particular outcome (i.e., to one of T1−/T2−, T1+/T2−, T1−/T2+, and T1+/T2+) may be performed using any suitable algorithm. In the example above, peak heights (i.e., intensity values) associated with each outcome are sufficiently different that each can be unambiguously identified and assigned. Specifically, the peaks are assigned based on intervals delineated by values lying between (e.g., half way between) the peak heights for one outcome and the peak heights for adjacent outcomes. In other cases, the peak heights for each outcome may overlap at their extremes, so that thresholding may be neither simple nor linear. In such cases, statistical methods such as expectation maximization algorithms may be used to estimate the number of droplets or peaks associated with each outcome and the associated concentrations.
This example describes a first exemplary digital PCR assay, in which multiplexing in a single channel is used to assess copy number of the C61 gene; see
The principles described here may be used with any suitable gene(s). In this example, C61 is a gene of interest, for which information on copy number is sought, and RPP30 is a reference gene, which codes for ribonuclease P protein subunit p30, that is known to have two copies per genome.
The principles described here also may be extended to additional genes of interest, for example, two or three or more genes of interest, and may or may not involve reference genes such as RPP30. The number of copies may be determined absolutely, if the copy number of at least one of the genes (e.g., the reference gene) is known, or relatively, if the copy number of none of the genes is known.
Here, + means that the assay is positive for the indicated gene (i.e., that the indicated gene is present), and − means that the assay is negative for the indicated gene (i.e., that the indicated gene was absent). There are 4033 droplets containing RPP30 (i.e., that are positive for RPP30, irrespective of whether they are positive or negative for C61), as determined by adding the number of droplets in Populations 3 and 4 (i.e., by adding 2865 and 1168, respectively). There are 4022 droplets containing C61 (i.e., that are positive for C61, irrespective of whether they are positive or negative for RPP30), as determined by adding the number of droplets in Populations 2 and 4 (i.e., by adding 2854 and 1168, respectively). Thus, the ratio of C61 to RPP30 is 4022/4033=0.997=1:1 within experimental error. Thus, because RPP30 is known to have two copies per genome, C61 must also have two copies (i.e., the copy number of C61 is two).
The annealing temperature may be selected from among the various temperatures tested, based on comparison of collected intensity data. For example, the resolution or separation of each population of droplets from one another in the plot for the various annealing temperatures may be compared to permit selection of a suitable annealing temperature for further data collection and/or analysis. For example, here, the annealing temperature of 59.1° C. offers the best separation between each different population of droplets within the set. In particular, at this annealing temperature, data from double-positive droplets (RPP30+/C61+; the population of highest intensity) are well resolved from data for single-positive droplets (RPP30+ or C61+; the two populations of intermediate intensity), which in turn are well resolved from each other and from data for double-negative droplets (RPP30−/C61−; the population of lowest intensity).
The resolution provided by selection of an optimal annealing temperature may permit determination, for each target, a respective number of droplets that are positive for the target alone at the selected annealing temperature. Also, at least one number of droplets positive for more than one target may be determined. The total number of droplets positive for each target then may be determined based on the respective numbers and the at least one number.
In some cases, signal detection may be performed first on only a fraction of each set of droplets. Additional droplets from the particular set corresponding to the selected annealing temperature then may be run through the detector to provide additional data for analysis. In other cases, only a fraction of the data collected for each set of droplets may be plotted and/or compared, and then additional data collected for the particular set corresponding to the selected annealing temperature may be plotted and/or analyzed.
This example describes a second exemplary digital PCR assay, in which multiplexing in a single channel is used to assess copy number of the C63 gene; see
This example describes an exemplary digital assay with multiplexed analysis of targets using more luminophores than the number of optical channels used for detecting signals from the luminophores; see
Each luminophore may be at least predominantly or substantially exclusively detectable in only one optical channel, or may be substantially detectable in two or more optical channels. For example, L1 of the T1 probe is substantially detectable in the first channel but not the second channel, L2 of the T2 probe is substantially detectable in the second channel but not the first channel, and L3 of the T3 probe is substantially detectable in both channels. More generally, L3 may generate a distinguishable intensity and/or a different ratio of signal intensities for amplification of the T3 target in each channel relative to the intensity and/or ratio produced by L1 for amplification of the T1 target and produced by L2 for amplification of the T2 target. As a result, the population of T3-only positives is resolved from the T1-only and T2-only populations. Also, the populations containing more than one target may be resolved and distinguishable from one another and from the single-target populations and the negative population.
The disclosure set forth above may encompass multiple distinct inventions with independent utility. Although each of these inventions has been disclosed in its preferred form(s), the specific embodiments thereof as disclosed and illustrated herein are not to be considered in a limiting sense, because numerous variations are possible. The subject matter of the inventions includes all novel and nonobvious combinations and subcombinations of the various elements, features, functions, and/or properties disclosed herein. The following claims particularly point out certain combinations and subcombinations regarded as novel and nonobvious. Inventions embodied in other combinations and subcombinations of features, functions, elements, and/or properties may be claimed in applications claiming priority from this or a related application. Such claims, whether directed to a different invention or to the same invention, and whether broader, narrower, equal, or different in scope to the original claims, also are regarded as included within the subject matter of the inventions of the present disclosure. Further, ordinal indicators, such as first, second, or third, for identified elements are used to distinguish between the elements, and do not indicate a particular position or order of such elements, unless otherwise specifically stated.
This application is based upon and claims the benefit under 35 U.S.C. §119(e) of U.S. Provisional Patent Application Ser. No. 61/507,082, filed Jul. 12, 2011; and U.S. Provisional Patent Application Ser. No. 61/510,013, filed Jul. 20, 2011. Each of these priority applications is incorporated herein by reference in its entirety for all purposes. This application incorporates by reference in their entireties for all purposes the following materials: U.S. Pat. No. 7,041,481, issued May 9, 2006; U.S. Patent Application Publication No. 2010/0173394 A1, published Jul. 8, 2010; U.S. patent application Ser. No. 13/251,016, filed Sep. 30, 2011; U.S. patent application Ser. No. 13/341,678, filed Dec. 30, 2011; U.S. patent application Ser. No. 13/424,304, filed Mar. 19, 2012; and Joseph R. Lakowicz, PRINCIPLES OF FLUORESCENCE SPECTROSCOPY (2nd Ed. 1999).
Number | Name | Date | Kind |
---|---|---|---|
3575220 | Davis et al. | Apr 1971 | A |
4051025 | Ito | Sep 1977 | A |
4201691 | Asher et al. | May 1980 | A |
4283262 | Cormier et al. | Aug 1981 | A |
4348111 | Goulas et al. | Sep 1982 | A |
4636075 | Knollenberg | Jan 1987 | A |
4948961 | Hillman et al. | Aug 1990 | A |
5055390 | Weaver et al. | Oct 1991 | A |
5176203 | Larzul | Jan 1993 | A |
5225332 | Weaver et al. | Jul 1993 | A |
5270183 | Corbett et al. | Dec 1993 | A |
5314809 | Erlich et al. | May 1994 | A |
5344930 | Riess et al. | Sep 1994 | A |
5422277 | Connelly et al. | Jun 1995 | A |
5538667 | Hill et al. | Jul 1996 | A |
5555191 | Hripcsak | Sep 1996 | A |
5585069 | Zanzucchi et al. | Dec 1996 | A |
5587128 | Wilding et al. | Dec 1996 | A |
5602756 | Atwood et al. | Feb 1997 | A |
5720923 | Haff et al. | Feb 1998 | A |
5736314 | Hayes et al. | Apr 1998 | A |
5779977 | Haff et al. | Jul 1998 | A |
5827480 | Haff et al. | Oct 1998 | A |
5856174 | Lipshutz et al. | Jan 1999 | A |
5912945 | Da Silva et al. | Jun 1999 | A |
5928907 | Woudenberg et al. | Jul 1999 | A |
5945334 | Besemer et al. | Aug 1999 | A |
5972716 | Ragusa et al. | Oct 1999 | A |
5980936 | Krafft et al. | Nov 1999 | A |
5994056 | Higuchi | Nov 1999 | A |
6033880 | Haff et al. | Mar 2000 | A |
6042709 | Parce et al. | Mar 2000 | A |
6057149 | Burns et al. | May 2000 | A |
6126899 | Woudenberg et al. | Oct 2000 | A |
6130098 | Handique et al. | Oct 2000 | A |
6143496 | Brown et al. | Nov 2000 | A |
6146103 | Lee et al. | Nov 2000 | A |
6171785 | Higuchi | Jan 2001 | B1 |
6175669 | Colston et al. | Jan 2001 | B1 |
6176609 | Cleveland et al. | Jan 2001 | B1 |
6177479 | Nakajima et al. | Jan 2001 | B1 |
6210879 | Meloni et al. | Apr 2001 | B1 |
6258569 | Livak et al. | Jul 2001 | B1 |
6281254 | Nakajima et al. | Aug 2001 | B1 |
6303343 | Kopf-Sill | Oct 2001 | B1 |
6357907 | Cleveland et al. | Mar 2002 | B1 |
6384915 | Everett et al. | May 2002 | B1 |
6391559 | Brown et al. | May 2002 | B1 |
6440706 | Vogelstein et al. | Aug 2002 | B1 |
6466713 | Everett et al. | Oct 2002 | B2 |
6488895 | Kennedy | Dec 2002 | B1 |
6489103 | Griffiths et al. | Dec 2002 | B1 |
6494104 | Kawakita et al. | Dec 2002 | B2 |
6509085 | Kennedy | Jan 2003 | B1 |
6521427 | Evans | Feb 2003 | B1 |
6524456 | Ramsey et al. | Feb 2003 | B1 |
6540895 | Spence et al. | Apr 2003 | B1 |
6551841 | Wilding et al. | Apr 2003 | B1 |
6558916 | Veerapandian et al. | May 2003 | B2 |
6575188 | Parunak | Jun 2003 | B2 |
6602472 | Zimmermann et al. | Aug 2003 | B1 |
6620625 | Wolk et al. | Sep 2003 | B2 |
6637463 | Lei et al. | Oct 2003 | B1 |
6638749 | Beckman et al. | Oct 2003 | B1 |
6660367 | Yang et al. | Dec 2003 | B1 |
6663619 | Odrich et al. | Dec 2003 | B2 |
6664044 | Sato | Dec 2003 | B1 |
6670153 | Stern | Dec 2003 | B2 |
6753147 | Vogelstein et al. | Jun 2004 | B2 |
6767706 | Quake et al. | Jul 2004 | B2 |
6773566 | Shenderov | Aug 2004 | B2 |
6808882 | Griffiths et al. | Oct 2004 | B2 |
6814934 | Higuchi | Nov 2004 | B1 |
6833242 | Quake et al. | Dec 2004 | B2 |
6900021 | Harrison et al. | May 2005 | B1 |
6905885 | Colston et al. | Jun 2005 | B2 |
6949176 | Vacca et al. | Sep 2005 | B2 |
6960437 | Enzelberger et al. | Nov 2005 | B2 |
6964846 | Shuber | Nov 2005 | B1 |
7010391 | Handique et al. | Mar 2006 | B2 |
7041481 | Anderson et al. | May 2006 | B2 |
7052244 | Fouillet et al. | May 2006 | B2 |
7081336 | Bao et al. | Jul 2006 | B2 |
7091048 | Parce et al. | Aug 2006 | B2 |
7094379 | Fouillet et al. | Aug 2006 | B2 |
7118910 | Unger et al. | Oct 2006 | B2 |
7129091 | Ismagilov et al. | Oct 2006 | B2 |
7138233 | Griffiths et al. | Nov 2006 | B2 |
7141537 | Audenaert et al. | Nov 2006 | B2 |
7192557 | Wu et al. | Mar 2007 | B2 |
7198897 | Wangh et al. | Apr 2007 | B2 |
7238268 | Ramsey et al. | Jul 2007 | B2 |
7244567 | Chen et al. | Jul 2007 | B2 |
7252943 | Griffiths et al. | Aug 2007 | B2 |
7268167 | Higuchi et al. | Sep 2007 | B2 |
7268179 | Brown | Sep 2007 | B2 |
7270786 | Parunak et al. | Sep 2007 | B2 |
7279146 | Nassef et al. | Oct 2007 | B2 |
7294468 | Bell et al. | Nov 2007 | B2 |
7294503 | Quake et al. | Nov 2007 | B2 |
7306929 | Ignatov et al. | Dec 2007 | B2 |
7312085 | Chou et al. | Dec 2007 | B2 |
7323305 | Leamon et al. | Jan 2008 | B2 |
7368233 | Shuber et al. | May 2008 | B2 |
7375140 | Higuchi et al. | May 2008 | B2 |
7423751 | Hairston et al. | Sep 2008 | B2 |
7429467 | Holliger et al. | Sep 2008 | B2 |
7567596 | Dantus et al. | Jul 2009 | B2 |
7579172 | Cho et al. | Aug 2009 | B2 |
7595195 | Lee et al. | Sep 2009 | B2 |
7622280 | Holliger et al. | Nov 2009 | B2 |
7629123 | Millonig et al. | Dec 2009 | B2 |
7776927 | Chu et al. | Aug 2010 | B2 |
7807920 | Linke et al. | Oct 2010 | B2 |
7842457 | Berka et al. | Nov 2010 | B2 |
8399198 | Hiddessen et al. | Mar 2013 | B2 |
20010046701 | Schulte et al. | Nov 2001 | A1 |
20020021866 | Everett et al. | Feb 2002 | A1 |
20020022261 | Anderson et al. | Feb 2002 | A1 |
20020060156 | Mathies et al. | May 2002 | A1 |
20020068357 | Mathies et al. | Jun 2002 | A1 |
20020093655 | Everett et al. | Jul 2002 | A1 |
20020141903 | Parunak et al. | Oct 2002 | A1 |
20020142483 | Yao et al. | Oct 2002 | A1 |
20020151040 | O'Keefe et al. | Oct 2002 | A1 |
20020164820 | Brown | Nov 2002 | A1 |
20020195586 | Auslander et al. | Dec 2002 | A1 |
20030001121 | Hochstein | Jan 2003 | A1 |
20030003054 | McDonald et al. | Jan 2003 | A1 |
20030003441 | Colston et al. | Jan 2003 | A1 |
20030008308 | Enzelberger et al. | Jan 2003 | A1 |
20030027150 | Katz | Feb 2003 | A1 |
20030027244 | Colston et al. | Feb 2003 | A1 |
20030027352 | Hooper et al. | Feb 2003 | A1 |
20030032172 | Colston, Jr. et al. | Feb 2003 | A1 |
20030049659 | Lapidus et al. | Mar 2003 | A1 |
20030087300 | Knapp et al. | May 2003 | A1 |
20030170698 | Gascoyne et al. | Sep 2003 | A1 |
20030180765 | Traverso et al. | Sep 2003 | A1 |
20030204130 | Colston, Jr. et al. | Oct 2003 | A1 |
20040007463 | Ramsey et al. | Jan 2004 | A1 |
20040038385 | Langlois et al. | Feb 2004 | A1 |
20040067493 | Matsuzaki et al. | Apr 2004 | A1 |
20040068019 | Higuchi et al. | Apr 2004 | A1 |
20040074849 | Brown et al. | Apr 2004 | A1 |
20040171055 | Brown | Sep 2004 | A1 |
20040180346 | Anderson et al. | Sep 2004 | A1 |
20040208792 | Linton et al. | Oct 2004 | A1 |
20050036920 | Gilbert | Feb 2005 | A1 |
20050042639 | Knapp et al. | Feb 2005 | A1 |
20050064460 | Holliger et al. | Mar 2005 | A1 |
20050079510 | Berka et al. | Apr 2005 | A1 |
20050112541 | Durack et al. | May 2005 | A1 |
20050172476 | Stone et al. | Aug 2005 | A1 |
20050202429 | Trau et al. | Sep 2005 | A1 |
20050221279 | Carter et al. | Oct 2005 | A1 |
20050221373 | Enzelberger et al. | Oct 2005 | A1 |
20050227264 | Nobile et al. | Oct 2005 | A1 |
20050239192 | Nasarabadi et al. | Oct 2005 | A1 |
20050277125 | Benn et al. | Dec 2005 | A1 |
20050282206 | Corbett et al. | Dec 2005 | A1 |
20060014187 | Li et al. | Jan 2006 | A1 |
20060057599 | Dzenitis et al. | Mar 2006 | A1 |
20060077755 | Higuchi et al. | Apr 2006 | A1 |
20060079583 | Higuchi et al. | Apr 2006 | A1 |
20060079584 | Higuchi et al. | Apr 2006 | A1 |
20060079585 | Higuchi et al. | Apr 2006 | A1 |
20060094108 | Yoder et al. | May 2006 | A1 |
20060106208 | Nochumson et al. | May 2006 | A1 |
20060188463 | Kim et al. | Aug 2006 | A1 |
20070003442 | Link et al. | Jan 2007 | A1 |
20070010974 | Nicoli et al. | Jan 2007 | A1 |
20070048756 | Mei et al. | Mar 2007 | A1 |
20070109542 | Tracy et al. | May 2007 | A1 |
20070166200 | Zhou et al. | Jul 2007 | A1 |
20070195127 | Ahn et al. | Aug 2007 | A1 |
20070196397 | Torii et al. | Aug 2007 | A1 |
20070202525 | Quake et al. | Aug 2007 | A1 |
20070231393 | Ritter et al. | Oct 2007 | A1 |
20070242111 | Pamula et al. | Oct 2007 | A1 |
20070248956 | Buxbaum et al. | Oct 2007 | A1 |
20070258083 | Heppell et al. | Nov 2007 | A1 |
20070275415 | Srinivasan et al. | Nov 2007 | A1 |
20080003142 | Link et al. | Jan 2008 | A1 |
20080014589 | Link et al. | Jan 2008 | A1 |
20080038810 | Pollack et al. | Feb 2008 | A1 |
20080070862 | Laster et al. | Mar 2008 | A1 |
20080090244 | Knapp et al. | Apr 2008 | A1 |
20080138815 | Brown et al. | Jun 2008 | A1 |
20080145923 | Hahn et al. | Jun 2008 | A1 |
20080153091 | Brown et al. | Jun 2008 | A1 |
20080160525 | Brown et al. | Jul 2008 | A1 |
20080161420 | Shuber | Jul 2008 | A1 |
20080166793 | Beer et al. | Jul 2008 | A1 |
20080169184 | Brown et al. | Jul 2008 | A1 |
20080169195 | Jones et al. | Jul 2008 | A1 |
20080171324 | Brown et al. | Jul 2008 | A1 |
20080171325 | Brown et al. | Jul 2008 | A1 |
20080171326 | Brown et al. | Jul 2008 | A1 |
20080171327 | Brown et al. | Jul 2008 | A1 |
20080171380 | Brown et al. | Jul 2008 | A1 |
20080171382 | Brown et al. | Jul 2008 | A1 |
20080213766 | Brown et al. | Sep 2008 | A1 |
20080214407 | Remacle et al. | Sep 2008 | A1 |
20080262384 | Wiederkehr et al. | Oct 2008 | A1 |
20080268436 | Duan et al. | Oct 2008 | A1 |
20080274455 | Puskas et al. | Nov 2008 | A1 |
20080280331 | Davies et al. | Nov 2008 | A1 |
20080280865 | Tobita | Nov 2008 | A1 |
20080280955 | McCamish | Nov 2008 | A1 |
20080314761 | Herminghaus et al. | Dec 2008 | A1 |
20090012187 | Chu et al. | Jan 2009 | A1 |
20090026082 | Rothberg et al. | Jan 2009 | A1 |
20090029867 | Reed et al. | Jan 2009 | A1 |
20090035770 | Mathies et al. | Feb 2009 | A1 |
20090035838 | Quake et al. | Feb 2009 | A1 |
20090061428 | McBride et al. | Mar 2009 | A1 |
20090068170 | Weitz et al. | Mar 2009 | A1 |
20090069194 | Ramakrishnan | Mar 2009 | A1 |
20090098044 | Kong et al. | Apr 2009 | A1 |
20090114043 | Cox | May 2009 | A1 |
20090131543 | Weitz et al. | May 2009 | A1 |
20090162929 | Ikeda | Jun 2009 | A1 |
20090176271 | Durack et al. | Jul 2009 | A1 |
20090203063 | Wheeler et al. | Aug 2009 | A1 |
20090217742 | Chiu et al. | Sep 2009 | A1 |
20090220434 | Sharma | Sep 2009 | A1 |
20090235990 | Beer | Sep 2009 | A1 |
20090239308 | Dube et al. | Sep 2009 | A1 |
20090291435 | Unger et al. | Nov 2009 | A1 |
20090311713 | Pollack et al. | Dec 2009 | A1 |
20090325184 | Woudenberg et al. | Dec 2009 | A1 |
20090325234 | Gregg et al. | Dec 2009 | A1 |
20090325236 | Griffiths et al. | Dec 2009 | A1 |
20100009360 | Rosell Costa et al. | Jan 2010 | A1 |
20100020565 | Seward | Jan 2010 | A1 |
20100022414 | Link et al. | Jan 2010 | A1 |
20100041046 | Chiu et al. | Feb 2010 | A1 |
20100047808 | Reed et al. | Feb 2010 | A1 |
20100069250 | White, III et al. | Mar 2010 | A1 |
20100069263 | Shendure et al. | Mar 2010 | A1 |
20100092973 | Davies et al. | Apr 2010 | A1 |
20100137163 | Link et al. | Jun 2010 | A1 |
20100173394 | Colston, Jr. et al. | Jul 2010 | A1 |
20100233686 | Higuchi et al. | Sep 2010 | A1 |
20100248385 | Tan et al. | Sep 2010 | A1 |
20100261229 | Lau et al. | Oct 2010 | A1 |
20100304446 | Davies et al. | Dec 2010 | A1 |
20100304978 | Deng et al. | Dec 2010 | A1 |
20110000560 | Miller et al. | Jan 2011 | A1 |
20110027394 | McClements et al. | Feb 2011 | A1 |
20110053798 | Hindson et al. | Mar 2011 | A1 |
20110070589 | Belgrader et al. | Mar 2011 | A1 |
20110086780 | Colston, Jr. et al. | Apr 2011 | A1 |
20110092373 | Colston, Jr. et al. | Apr 2011 | A1 |
20110092376 | Colston, Jr. et al. | Apr 2011 | A1 |
20110092392 | Colston, Jr. et al. | Apr 2011 | A1 |
20110118151 | Eshoo et al. | May 2011 | A1 |
20110160078 | Fodor et al. | Jun 2011 | A1 |
20110177563 | Hahn et al. | Jul 2011 | A1 |
20110183330 | Lo et al. | Jul 2011 | A1 |
20110212516 | Ness et al. | Sep 2011 | A1 |
20110217712 | Hiddessen et al. | Sep 2011 | A1 |
20110217736 | Hindson | Sep 2011 | A1 |
20110218123 | Weitz et al. | Sep 2011 | A1 |
20110244455 | Larson et al. | Oct 2011 | A1 |
20110250597 | Larson et al. | Oct 2011 | A1 |
20110311978 | Makarewicz, Jr. et al. | Dec 2011 | A1 |
20120021423 | Colston, Jr. et al. | Jan 2012 | A1 |
20120028311 | Colston, Jr. et al. | Feb 2012 | A1 |
20120122714 | Samuels et al. | May 2012 | A1 |
20120152369 | Hiddessen et al. | Jun 2012 | A1 |
20120171683 | Ness et al. | Jul 2012 | A1 |
20120190032 | Ness et al. | Jul 2012 | A1 |
20120190033 | Ness et al. | Jul 2012 | A1 |
20120194805 | Ness et al. | Aug 2012 | A1 |
20120208241 | Link | Aug 2012 | A1 |
20120219947 | Yurkovetsky et al. | Aug 2012 | A1 |
20120220494 | Samuels et al. | Aug 2012 | A1 |
20120264646 | Link et al. | Oct 2012 | A1 |
20120302448 | Hutchison et al. | Nov 2012 | A1 |
20120309002 | Link | Dec 2012 | A1 |
20120329664 | Saxonov et al. | Dec 2012 | A1 |
20130017551 | Dube | Jan 2013 | A1 |
20130045875 | Saxonov et al. | Feb 2013 | A1 |
20130059754 | Tzonev | Mar 2013 | A1 |
20130064776 | El Harrak et al. | Mar 2013 | A1 |
20130084572 | Hindson et al. | Apr 2013 | A1 |
20130099018 | Miller et al. | Apr 2013 | A1 |
20130109575 | Kleinschmidt et al. | May 2013 | A1 |
Number | Date | Country |
---|---|---|
1 522 582 | Apr 2005 | EP |
1 522 582 | Apr 2007 | EP |
1 503 163 | Mar 1978 | GB |
2 097 692 | Nov 1982 | GB |
0295433 | Apr 1990 | JP |
8202562 | Aug 1982 | WO |
8402000 | May 1984 | WO |
9201812 | Feb 1992 | WO |
9405414 | Mar 1994 | WO |
9612194 | Apr 1996 | WO |
9800231 | Jan 1998 | WO |
9816313 | Apr 1998 | WO |
9844151 | Oct 1998 | WO |
9844152 | Oct 1998 | WO |
9847003 | Oct 1998 | WO |
0107159 | Feb 2001 | WO |
0112327 | Feb 2001 | WO |
0223163 | Mar 2002 | WO |
02060584 | Aug 2002 | WO |
02068104 | Sep 2002 | WO |
02081490 | Oct 2002 | WO |
02081729 | Oct 2002 | WO |
03016558 | Feb 2003 | WO |
03042410 | May 2003 | WO |
03072258 | Sep 2003 | WO |
2004040001 | May 2004 | WO |
2005007812 | Jan 2005 | WO |
2005010145 | Feb 2005 | WO |
2005021151 | Mar 2005 | WO |
2005023091 | Mar 2005 | WO |
2005055807 | Jun 2005 | WO |
2005073410 | Aug 2005 | WO |
2005075683 | Aug 2005 | WO |
2006023719 | Mar 2006 | WO |
2006027757 | Mar 2006 | WO |
2006038035 | Apr 2006 | WO |
2006086777 | Aug 2006 | WO |
2006095981 | Sep 2006 | WO |
2007091228 | Aug 2007 | WO |
2007091230 | Aug 2007 | WO |
2007092473 | Aug 2007 | WO |
2007133710 | Nov 2007 | WO |
2008021123 | Feb 2008 | WO |
2008024114 | Feb 2008 | WO |
2008063227 | May 2008 | WO |
2008070074 | Jun 2008 | WO |
2008070862 | Jun 2008 | WO |
2008109176 | Sep 2008 | WO |
2008109878 | Sep 2008 | WO |
2008112177 | Sep 2008 | WO |
2009002920 | Dec 2008 | WO |
2009015863 | Feb 2009 | WO |
2009049889 | Apr 2009 | WO |
2009085246 | Jul 2009 | WO |
2010001419 | Jan 2010 | WO |
2010018465 | Feb 2010 | WO |
2010036352 | Apr 2010 | WO |
2011034621 | Mar 2011 | WO |
2011079176 | Jun 2011 | WO |
Entry |
---|
Qin et al, Nucleic Acid Research, 2008, vol. 36, No. 18, e116, pp. 1-8. |
Markey et al., Methods, 50 (2010), pp. 277-281. |
Qun Zhong et al., “Multiplex digital PCR: breaking the one target per color barrier of quantitative PCR”, The Royal Society of Chemistry 2011, Lab Chip, 2011, vol. 11, pp. 2167-2174. |
Simant Dube et al., “Mathematical Analysis of Copy Number Variation in a DNA Sample Using Digital PCR on a Nanofluidic Device”, PLoS One, Aug. 6, 2008, vol. 3, Issue 8, e2876 pp. 1-9. |
J. Smid-Korbar et al., “Efficiency and usability of silicone surfactants in emulsions,” International Journal of Cosmetic Science 12, pp. 135-139, (1990), presented at the 15th IFSCC International Congress, Sep. 26-29, 1988, London. |
A. Chittofrati et al., “Perfluoropolyether microemulsions,” Progress in Colloid & Polymer Science 79, pp. 218-225, (1989). |
Steven A. Snow, “Synthesis and Characterization of Zwitterionic Silicone Sulfobetaine Surfactants,” Langmuir, vol. 6, No. 2, American Chemical Society, pp. 385-391, (1990). |
Polydimethylsiloxane, 5 pgs., published in FNP 52 (1992). |
Russell Higuchi et al., “Kinetic PCR Analysis: Real-time Monitoring of DNA Amplification Reactions,” Bio/Technology vol. II, pp. 1026-1030, Sep. 11, 1993. |
D. A. Newman et al., “Phase Behavior of Fluoroether-Functional Amphiphiles in Supercritical Carbon Dioxide,” The Journal of Supercritical Fluids, vol. 6, No. 4, pp. 205-210, (1993). |
Y. Sela et al., “Newly designed polysiloxane-graft-poly (oxyethylene) copolymeric surfactants: preparation, surface activity and emulsification properties,” Colloid & Polymer Science 272, pp. 684-691, (1994). |
M. Gasperlin et al., “The structure elucidation of semisolid w/o emulsion systems containing silicone surfactant,” International Journal of Pharmaceutics 107, pp. 51-56, (1994). |
Mieczyslaw A. Piatyszek et al., “Detection of telomerase activity in human cells and tumors by a telomeric repeat amplification protocol (TRAP),” Methods in Cell Science 17, pp. 1-15, (1995). |
Anthony P. Shuber et al., “A Simplified Procedure for Developing Multiplex PCRs,” Genome Research, published by Cold Spring Harbor Laboratory Press, pp. 488-493, (1995). |
A. V. Yazdi et al., “Highly Carbon Dioxide Soluble Surfactants, Dispersants and Chelating Agents,” Fluid Phase Equilibria, vol. 117, pp. 297-303, (1996). |
Ariel A. Avilion et al., “Human Telomerase RNA and Telomerase Activity in Immortal Cell Lines and Tumor Tissues,” Cancer Research 56, pp. 645-650, Feb. 1, 1996. |
Shuming Nie et al., “Optical Detection of Single Molecules,” Annu. Rev. Biophys. BiomoL Struct. vol. 26, pp. 567-596, (1997). |
Edith J. Singley et al., “Phase behavior and emulsion formation of novel fluoroether amphiphiles in carbon dioxide,” Fluid Phase Equilibria 128, pp. 199-219, (1997). |
Olga Kalinina et al., “Nanoliter scale PCR with TaqMan Detection,” Nucleic Acids Research, vol. 25, No. 10 pp. 1999-2004, (1997). |
Zhen Guo et al., “Enhanced discrimination of single nucleotide polymorphisms by artificial mismatch hybridization,” Nature Biotechnology vol. 15, pp. 331-335, Apr. 1997. |
E. G. Ghenciu et al., “Affinity Extraction into Carbon Dioxide. 1. Extraction of Avidin Using a Biotin-Functional Fluoroether Surfactant,” Ind. Eng. Chem. Res. vol. 36, No. 12, pp. 5366-5370, Dec. 1, 1997. |
Paschalis Alexandridis, Structural Polymorphism of Poly(ethylene oxide)-Poly(propylene oxide) Block Copolymers in Nonaqueous Polar Solvents, Macromolecules, vol. 31, No. 20, pp. 6935-6942, Sep. 12, 1998. |
Sandro R. P. Da Rocha et al., “Effect of Surfactants on the Interfacial Tension and Emulsion Formation between Water and Carbon Dioxide,” Langmuir, vol. 15, No. 2, pp. 419-428, (1999), published on web Dec. 29, 1998. |
Bert Vogelstein et al., “Digital PCR,” Proc. Natl. Acad. Sci. USA, vol. 96, pp. 9236-9241, Aug. 1999. |
Anthony J. O'Lenick, Jr., “Silicone Emulsions and Surfactants,” Journal of Surfactants and Detergents, vol. 3, No. 3, Jul. 2000. |
N. Garti et al., “Water Solubilization in Nonionic Microemulsions Stabilized by Grafted Siliconic Emulsifiers,” Journal of Colloid and Interface Science vol. 233, pp. 286-294, (2001). |
Shinji Katsura et al., “Indirect micromanipulation of single molecules in water-in-oil emulsion,” Electrophoresis, vol. 22, pp. 289-293, (2001). |
Hironobu Kunieda et al., “Effect of Hydrophilic- and Hydrophobic-Chain Lengths on the Phase Behavior of A-B-type Silicone Surfactants in Water,” J. Phys. Chem. B, vol. 105, No. 23, pp. 5419-5426, (2001). |
Hidenori Nagai et al., “Development of a Microchamber Array for Picoliter PCR,” Analytical Chemistry, vol. 73, No. 5, pp. 1043-1047, Mar. 1, 2001. |
Christopher B. Price, “Regular Review Point of Care Testing,” BMJ, vol. 322, May 26, 2001. |
3M Specialty Materials, “3M Fluorinert Electronic Liquid FC-3283,” product information guide, issued Aug. 2001. |
Ivonne Schneegaβ et al., “Miniaturized flow-through PCR with different template types in a silicon chip thermocycler,” Lab on a Chip, vol. 1, pp. 42-49, (2001). |
Randla M. Hill, “Silicone surfactants—new developments,” Current Opinion in Colloid & Interface Science 7, pp. 255-261, (2002). |
Richard M. Cawthon, “Telomere measurement by quantitative PCR,” Nucleic Acids Research, vol. 30, No. 10, pp. 1-6, (2002). |
Anfeng Wang et al., “Direct Force Measurement of Silicone- and Hydrocarbon-Based ABA Triblock Surfactants in Alcoholic Media by Atomic Force Mircroscopy,” Journal of Colloid and Interface Science 256, pp. 331-340 (2002). |
Shelley L. Anna et al., “Formation of dispersions using “flow focusing” in microchannels,” Applied Physics Letters, vol. 82, No. 3, Jan. 20, 2003. |
Goldschmidt GmbH, “Abil® EM 90 Emulsifier for the formulation of cosmetic W/O creams and lotions,” degussa. creating essentials brochure, pp. 1-7, May 2003. |
Purnendu K. Dasgupta et al., “Light emitting diode-based detectors Absorbance, fluorescence and spectroelectrochemical measurements in a planar flow-through cell,” Analytica Chimica Acta 500, pp. 337-364, (2003). |
R. G. Rutledge et al., “Mathematics of quantitative kinetic PCR and the application of standard curves,” Nucleic Acids Research, vol. 31, No. 16, pp. 1-6, (2003). |
Chunming Ding et al., “Direct molecular haplotyping of long-range genomic DNA with M1-PCR,” PNAS, vol. 100, No. 13, pp. 7449-7453, Jun. 24, 2003. |
Devin Dressman et al., “Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variations,” PNAS, vol. 100, No. 15, Jul. 22, 2003. |
Ulf Landegren et al., “Padlock and proximity probes for in situ and array-based analyses: tools for the post-genomic era,” Comp. Funct. Genom, vol. 4, pp. 525-530, (2003). |
Gudrun Pohl et al., “Principle and applications of digital PCR” review, www.future-drugs.com, Expert Rev. Mol. Diagn. 4(1), pp. 41-47, (2004). |
Groff M. Schroeder et al., “Introduction to Flow Cytometry” version 5.1, 182 pgs. (2004). |
Stéphane Swillens et al., “Instant evaluation of the absolute initial number of cDNA copies from a single real-time PCR curve,” Nucleic Acids Research, vol. 32, No. 6, pp. 1-6, (2004). |
Mats Gullberg et al., “Cytokine detection by antibody-based proximity ligation,” PNAS, vol. 101, No. 22, pp. 8420-8424, Jun. 1, 2004. |
Tianhao Zhang et al., “Behavioral Modeling and Performance Evaluation of Microelectrofluidics-Based PCR Systems Using SystemC,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 23, No. 6, pp. 843-858, Jun. 2004. |
R. G. Rutledge, “Sigmoidal curve-fitting redefines quantitative real-time PCR with the prospective of developing automated high-throughput applications,” Nucleic Acids Research. vol. 32, No. 22, pp. 1-8, (2004). |
L. Spencer Roach et al., “Controlling Nonspecific Protein Absorption in a Plug-Based Microfluidic System by Controlling Interfacial Chemistry Using Fluorous-Phase Surfactants,” Analytical Chemistry vol. 77, No. 3, pp. 785-796, Feb. 1, 2005. |
Kevin D. Dorfman et al., “Contamination-Free Continuous Flow Microfluidic Polymerase Chain Reaction for Quantitative and Clinical Applications,” Analytical Chemistry vol. 77, No. 11, pp. 3700-3704, Jun. 1, 2005. |
James G. Wetmur et al., “Molecular haplotyping by linking emulsion PCR: analysis of paraoxonase 1 haplotypes and phenotypes,” Nucleic Acids Research, vol. 33, No. 8, pp. 2615-2619, (2005). |
Piotr Garstecki et al., “Mechanism for Flow-Rate Controlled Breakup in Confined Geometries: A Route to Monodisperse Emulsions,” Physical Review Letters, 164501, pp. 164501-1-164501-4, Apr. 29, 2005. |
Anna Musyanovych et al., “Miniemulsion Droplets as Single Molecule Nanoreactors for Polymerase Chain Reaction,” Biomacromolecules, vol. 6, No. 4, pp. 1824-1828, (2005). |
Max Chabert et al., “Droplet fusion by alternating current (AC) field electrocoalescence in microchannels,” Electrophoresis, vol. 26, pp. 3706-3715, (2005). |
Takaaki Kojima et al., “PCR amplification from single DNA molecules on magnetic beads in emulsion: application for high-throughput screening of transcription factor targets,” Nucleic Acids Research, vol. 33, No. 17, pp. 1-9, (2005). |
Marcel Margulies et al., “Genome sequencing in microfabricated high-density picolitre reactors,” Nature, vol. 437, 51 pgs., Sep. 15, 2005. |
Kristofer J. Thurecht et al., “Investigation of spontaneous microemulsion formation in supercritical carbon dioxide using high-pressure NMR,” Journal of Supercritical Fluids, vol. 38, pp. 111-118, (2006). |
Toshko Zhelev et al., “Heat Integration in Micro-Fluidic Devices,” 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering, pp. 1863-1868 published by Elsevier B.V. (2006). |
Piotr Garstecki et al., “Formation of droplets and bubbles in a microfluidic T-junction—scaling and mechanism of break-up,” Lab on a Chip, vol. 6, pp. 437-446, (2006). |
Darren R. Link et al., “Electric Control of Droplets in Microfluidic Devices,” Angewandte Chemie Int. Ed., vol. 45, pp. 2556-2560, (2006). |
Peter Fielden et al., “Micro-Droplet Technology for High Throughout Systems and Methods,” 1 pg., Mar. 8, 2006. |
David Emerson et al., “Microfluidic Modelling Activities at C3M,” Centre for Microfluidics & Microsystems Modelling, Daresbury Laboratory, pp. 1-26, May 15, 2006. |
Richard Williams et al., “Amplification of complex gene libraries by emulsion PCR,” Nature Methods, vol. 3, No. 7, pp. 545-550, Jul. 2006. |
John H. Leamon et al., “Overview: methods and applications for droplet compartmentalization of biology,” Nature Methods, vol. 3, No. 7, pp. 541-543, Jul. 2006. |
Andrew D. Griffiths et al., “Miniaturising the laboratory in emulsion droplets,” Trends in Biotechnology, vol. 24, No. 9, pp. 395-402, Jul. 14, 2006. |
Jian-Bing Fan et al., “Highly parallel genomic assays,” Nature Reviews/Genetics, vol. 7, pp. 632-644, Aug. 2006. |
Jonas Jarvius et al., “Digital quantification using amplified single-molecule detection,” Nature Methods, vol. 3, No. 9, pp. 15 pgs, Sep. 2006. |
Kan Liu et al., “Droplet-based synthetic method using microflow focusing and droplet fusion,” Microfluid Nanfluid, vol. 3, pp. 239-243, (2007), published online Sep. 22, 2006. |
Dimitris Glotsos et al., “Robust Estimation of Bioaffinity Assay Fluorescence Signals,” IEEE Transactions on Information Technology in Biomedicine, vol. 10, No. 4, pp. 733-739, Oct. 2006. |
Kristofer J. Thurecht et al., “Kinetics of Enzymatic Ring-Opening Polymerization of ∈-Caprolactone in Supercritical Carbon Dioxide,” Macromolecules, vol. 39, pp. 7967-7972, (2006). |
Machiko Hori et al., “Uniform amplification of multiple DNAs by emulsion PCR,” Biochemical and Biophysical Research Communications, vol. 352, pp. 323-328, (2007). |
Frank Diehl et al., “Digital quantification of mutant DNA in cancer patients,” Current Opinion in Oncology, vol. 19, pp. 36-42, (2007). |
Delai L. Chen et al., “Using Three-Phase Flow of Immiscible Liquids to Prevent Coalescence of Droplets in Microfluidic Channels: Criteria to Identify the Third Liquid and Validation with Protein Crystallization,” Langmuir, vol. 23, No. 4, pp. 2255-2260, (2007). |
S. Mohr et al., “Numerical and experimental study of a droplet-based PCR chip,” Microfluid Nanofluid, vol. 3, pp. 611-621, (2007). |
Sigrun M. Gustafsdottir et al., “In vitro analysis of DNA-protein interactions by proximity ligation,” PNAS, vol. 104, No. 9, pp. 3067-3072, Feb. 27, 2007. |
Daniel J. Diekema et al., “Look before You Leap: Active Surveillance for Multidrug-Resistant Organisms,” Healthcare Epidemiology • CID 2007:44, pp. 1101-1107 (Apr. 15), electronically published Mar. 2, 2007. |
Charles N. Baroud et al., “Thermocapillary valve for droplet production and sorting,” Physical Review E 75, 046302, pp. 046302-1-046302-5, Apr. 5, 2007. |
Qinyu Ge et al., “Emulsion PCR-based method to detect Y chromosome microdeletions,” Analytical Biochemistry, vol. 367, pp. 173-178, May 10, 2007. |
Chunsun Zhang et al., “Miniaturized PCR chips for nucleic acid amplification and analysis: latest advances and future trends,” Nucleic Acids Research, vol. 35, No. 13, pp. 4223-4237, Jun. 18, 2007. |
Y. M. Dennis Lo et al., “Digital PCR for the molecular detection of fetal chromosomal aneuploidy,” PNAS, vol. 104, No. 32, pp. 13116-13121, Aug. 7, 2007. |
Dayong Jin et al., “Practical Time-Gated Luminescence Flow Cytometry. II: Experimental Evaluation Using UV LED Excitation,” Cytometry Part A • 71A, pp. 797-808, Aug. 24, 2007. |
Helen R. Hobbs et al., “Homogeneous Biocatalysis in both Fluorous Biphasic and Supercritical Carbon Dioxide Systems,” Angewandte Chemie, vol. 119, pp. 8006-8009, Sep. 6, 2007. |
Nathan Blow, “PCR's next frontier,” Nature Methods, vol. 4, No. 10, pp. 869-875, Oct. 2007. |
Nicole Pamme, “continuous flow separations in microfluidic devices,” Lab on a Chip, vol. 7, pp. 1644-1659, Nov. 2, 2007. |
N. Reginald Beer et al., “On-Chip, Real-Time, Single-Copy Polymerase Chain Reaction in Picoliter Droplets,” Analytical Chemistry, vol. 79, No. 22, pp. 8471-8475, Nov. 15, 2007. |
Yuejun Zhao et al., “Microparticle Concentration and Separation by Traveling-Wave Dielectrophoresis (twDEP) for Digital Microfluidics,” Journal of Microelectromechanical Systems, vol. 16, No. 6, pp. 1472-1481, Dec. 2007. |
Sigma-Aldrich, “Synthesis of Mesoporous Materials,” Material Matters, 3.1, 17, (2008). |
Nick J. Carroll et al., “Droplet-Based Microfluidics for Emulsion and Solvent Evaporation Synthesis of Monodisperse Mesoporous Silica Microspheres,” Langmuir, vol. 24, No. 3, pp. 658-661, Jan. 3, 2008. |
Shia-Yen Teh et al., “Droplet microfluidics,” Lab on a Chip, vol. 8, pp. 198-220, Jan. 11, 2008. |
Chloroform (Phenomenex), Solvent Miscibility Table, Internet Archive WayBackMachine, 3 pgs., Feb. 1, 2008. |
N. Reginald Beer et al., “On-Chip Single-Copy Real-Time Reverse-Transcription PCR in Isolated Picoliter Droplets,” Analytical Chemistry, vol. 80, No. 6, pp. 1854-1858, Mar. 15, 2008. |
Palani Kumaresan et al., “High-Throughput Single Copy DNA Amplification and Cell Analysis in Engineered Nanoliter Droplets,” Analytical Chemistry, 17 pgs., Apr. 15, 2008. |
Somil C. Mehta et a., “Mechanism of Stabilization of Silicone Oil—Water Emulsions Using Hybrid Siloxane Polymers,” Langmuir, vol. 24, No. 9, pp. 4558-4563, Mar. 26, 2008. |
Rhutesh K. Shah et al., “Polymers fit for function Making emulsions drop by drop,” Materials Today, vol. 11, No. 4, pp. 18-27, Apr. 2008. |
Mohamed Abdelgawad et al., “All-terrain droplet actuation,” Lab on a Chip, vol. 8, pp. 672-677, Apr. 2, 2008. |
Lung-Hsin Hung et al., “Rapid microfabrication of solvent-resistant biocompatible microfluidic devices,” Lab on a Chip, vol. 8, pp. 983-987, Apr. 8, 2008. |
Jenifer Clausell-Tormos et al., “Droplet-Based Microfluidic Platforms for the Encapsulation and Screening of Mammalian Cells and Multicellular Organisms,” Chemistry & Biology, vol. 15, pp. 427-437, May 2008. |
Vivienne N. Luk et al., “Pluronic Additives: A Solution to Sticky Problems in Digital Microfluidics,” Langmuir, vol. 24, No. 12, pp. 6382-6289, May 16, 2008. |
Yen-Heng Lin et al., “Droplet Formation Utilizing Controllable Moving-Wall Structures for Double-Emulsion Applications,” Journal of Microelectromechanical Systems, vol. 17, No. 3, pp. 573-581, Jun. 2008. |
C. Holtze et al., “Biocompatible surfactants for water-in-fluorocarbon emulsions,” Lab on a Chip, vol. 8, pp. 1632-1639, Sep. 2, 2008. |
Margaret Macris Kiss et al., “High-Throughput Quantitative Polymerase Chain Reaction in Picoliter Droplets,” Analytical Chemistry, 8 pgs., downloaded Nov. 17, 2008. |
Jay Shendure et al., “Next-generation DNA sequencing,” Nature Biotechnology, vol. 26, No. 10, pp. 1135-1145, Oct. 2008. |
Bernhard G. Zimmermann et al., “Digital PCR: a powerful new tool for noninvasive prenatal diagnosis?,” Prenatal Diagnosis, vol. 28 pp. 1087-1093, Nov. 10, 2008. |
Avishay Bransky et al., “A microfluidic droplet generator based on a piezoelectric actuator,” Lab on a Chip, vol. 9, pp. 516-520, Nov. 20, 2008. |
David A. Weitz, “Novel Surfactants for Stabilizing Emulsions of Water or Hydrocarbon Oil-Based Droplets in a Fluorocarbon Oil Continuous Phase,” Harvard Office of Technology Development: Available Technologies, pp. 1-3, downloaded Nov. 28, 2008. |
Neil Reginald Beer et al., “Monodisperse droplet generation and rapid trapping for single molecule detection and reaction kinetics measurement,” Lab on a Chip, vol. 9, pp. 841-844, Dec. 5, 2008. |
Richard M. Cawthon, “Telomere length measurement by a novel monochrome multiplex quantitative PCR method,” Nucleic Acids Research, vol. 37, No. 3, pp. 1-7, (2009). |
Anthony J. O'Lenick, Jr., “Silicone Emulsions and Surfactants—A Review,” Silicone Spectator, Silitech LLC, May 2009 (original published May 2000). |
Adam R. Abate et al., “Functionalized glass coating for PDMS microfluidic devices,” Lab on a Chip Technology: Fabrication and Microfluidics, 11 pgs., (2009). |
Chia-Hung Chen et al., “Janus Particles Templated from Double Emulsion Droplets Generated Using Microfluidics,” Langmuir, vol. 29, No. 8, pp. 4320-4323, Mar. 18, 2009. |
Luis M. Fidalgo et al., “Coupling Microdroplet Microreactors with Mass Spectrometry: Reading the Contents of Single Droplets Online,” Angewandte Chemie, vol. 48, pp. 3665-3668, Apr. 7, 2009. |
Linas Mazutis et al., “A fast and efficient microfluidic system for highly selective one-to-one droplet fusion,” Lab on a Chip, vol. 9, pp. 2665-2672, Jun. 12, 2009. |
Linas Mazutis et al., “Droplet-Based Microfluidic Systems for High-Throughput Single DNA Molecule Isothermal Amplification and Analysis,” Analytical Chemistry, vol. 81, No. 12, pp. 4813-4821, Jun. 15, 2009. |
Frank McCaughan et al., “Single-molecule genomics,” Journal of Pathology, vol. 220, pp. 297-306, Nov. 19, 2009. |
Suzanne Weaver et al., “Taking qPCR to a higher level: Analysis of CNV reveals the power of high throughput qPCR to enhance quantitative resolution,” Methods, vol. 50, pp. 271-276, Jan. 15, 2010. |
Yoon Sung Nam et al., “Nanosized Emulsions Stabilized by Semisolid Polymer Interphase,” Langmuir, ACS Publications, Jul. 23, 2010. |
Tatjana Schutze et al., “A streamlined protocol for emulsion polymerase chain reaction and subsequent purification,” Analytical Biochemistry, vol. 410, pp. 155-157, Nov. 25, 2010. |
Somanath Bhat et al., “Effect of sustained elevated temperature prior to amplification on template copy number estimation using digital polymerase chain reaction,” Analyst, vol. 136, pp. 724-732, (2011). |
James G. Wetmur, et al., “Linking Emulsion PCR Haplotype Analysis,” PCR Protocols, Methods in Molecular Biology, vol. 687, pp. 165-175, (2011). |
Paul Vulto et al., “Phaseguides: a paradigm shift in microfluidic priming and emptying,” Lab on a Chip, vol. 11, No. 9, pp. 1561-1700, May 7, 2011. |
Thinxxs Microtechnology AG, “Emerald Biosystems: Protein Crystallization,” 1 pg., downloaded Mar. 8, 2011. |
Jiaqi Huang et al., “Rapid Screening of Complex DNA Samples by Single-Molecule Amplification and Sequencing,” PLoS One, vol. 6, Issue 5, pp. 1-4, May 2011. |
Burcu Kekevi et al., Synthesis and Characterization of Silicone-Based Surfactants as Anti-Foaming Agents, J. Surfact Deterg (2012), vol. 15, pp. 73-81, published online Jul. 7, 2011. |
Leonardo B. Pinheiro et al., “Evaluation of a Droplet Digital Polymerase Chain Reaction Format for DNA Copy Number Quantification,” Analytical Chemistry, vol. 84, pp. 1003-1011, Nov. 28, 2011. |
Nicole L. Solimini et al., “Recurrent Hemizygous Deletions in Cancers May Optimize Proliferative Potential,” Science, vol. 337, pp. 104-109, Jul. 6, 2012. |
Labsmith, “Microfluid Components” webpage, downloaded Jul. 11, 2012. |
Labsmith, “CapTite™ Microfluidic Interconnects” webpage, downloaded Jul. 11, 2012. |
Nathan A. Tanner et al., “Simultaneous multiple target detection in real-time loop-mediated isothermal amplification,” BioTechniques, vol. 53, pp. 8-19, Aug. 2012. |
A. Scherer, California Institute of Technology, “Polymerase Chain Reactors” PowerPoint presentation, 24 pgs., date unknown. |
Eschenback Optik GmbH, Optics for Concentrated Photovoltaics (CPV), 1 pg., date unknown. |
Number | Date | Country | |
---|---|---|---|
20130040841 A1 | Feb 2013 | US |
Number | Date | Country | |
---|---|---|---|
61507082 | Jul 2011 | US | |
61510013 | Jul 2011 | US |