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公开(公告)号：US20150119255A1
公开(公告)日：2015-04-30
申请号：US14326424
申请日：2014-07-08
Applicant: Cellular Research, Inc.
Inventor： Stephen P.A. Fodor , Glenn K. Fu
IPC: C12Q1/68
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6809 , C12Q1/6837 , C12Q1/6851 , C12Q1/686 , C12Q1/6869 , C12Q1/6876 , G16B25/00 , G16B30/00 , C12Q2565/102 , C12Q2537/157 , C12Q2525/191
Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
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公开(公告)号：US20150118680A1
公开(公告)日：2015-04-30
申请号：US14326448
申请日：2014-07-08
Applicant: Cellular Research, Inc.
Inventor： Stephen P.A. Fodor , Glenn K. Fu
IPC: C12Q1/68
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6809 , C12Q1/6837 , C12Q1/6851 , C12Q1/686 , C12Q1/6869 , C12Q1/6876 , G16B25/00 , G16B30/00 , C12Q2565/102 , C12Q2537/157 , C12Q2525/191
Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
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公开(公告)号：US20180327866A1
公开(公告)日：2018-11-15
申请号：US16038887
申请日：2018-07-18
Applicant: Cellular Research, Inc.
Inventor： Christina Fan , Stephen P.A. Fodor , Glenn Fu , Geoffrey Richard Facer , Julie Wilhelmy
IPC: C12Q1/6888 , C12Q1/6876 , C12Q1/6881 , C12Q1/6874
CPC classification number: C12Q1/6888 , C12Q1/6874 , C12Q1/6876 , C12Q1/6881 , C12Q2600/158 , C12Q2600/16 , C12Q2563/159 , C12Q2563/185
Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
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公开(公告)号：US20180327835A1
公开(公告)日：2018-11-15
申请号：US16038790
申请日：2018-07-18
Applicant: Cellular Research, Inc.
Inventor： Stephen P.A. Fodor , Glenn K. Fu
IPC: C12Q1/6874 , C12Q1/6851 , C12Q1/6869 , C12Q1/6809 , C12Q1/686 , G06F19/22 , C12Q1/6837 , C12Q1/6876 , C12N15/10 , G06F19/20
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6809 , C12Q1/6837 , C12Q1/6851 , C12Q1/686 , C12Q1/6869 , C12Q1/6876 , G06F19/20 , G06F19/22 , C12Q2565/102 , C12Q2537/157 , C12Q2525/191
Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
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公开(公告)号：US20180073073A1
公开(公告)日：2018-03-15
申请号：US15557789
申请日：2016-03-16
Applicant: Cellular Research, Inc.
Inventor： Glenn Fu , Stephen P.A. Fodor
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6869 , C12Q2525/161 , C12Q2525/179 , C12Q2537/16 , C12Q2545/114 , C12Q2563/159 , C12Q2563/179
Abstract: Disclosed herein are methods for estimating the copy number of a target chromosome in a sample. In some embodiments, the methods include: partitioning a sample comprising one or more copies of the first target chromosome, into a plurality of partitioned samples; stochastically barcoding the one or more copies of the first target chromosome in the plurality of partitioned samples using a first plurality of stochastic barcodes, wherein each of the first plurality of stochastic barcodes comprises a first chromosome label and a first molecular label; and estimating the copy number of the first target chromosome in the sample using the first chromosome label and the second molecular label. The disclosed methods can be used for haplotype phasing, aneuploidy determination, and DNA sequencing.
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Patent Agency Ranking
公开(公告)号：US20170154421A1
公开(公告)日：2017-06-01
申请号：US15409355
申请日：2017-01-18
Applicant: Cellular Research, Inc.
Inventor： Glenn Fu , Roger Rudoff , David Stern , George T. Wu , Stephen P.A. Fodor , Geoffrey Facer
CPC classification number: G06T7/0012 , G01N21/274 , G01N21/6428 , G01N21/6452 , G01N21/6456 , G01N2021/6439 , G01N2201/129 , G06K9/6267 , G06T7/277 , G06T2207/10056 , G06T2207/10064 , G06T2207/30072 , G06T2207/30242
Abstract: Methods, systems and platforms for digital imaging of multiple regions of an array, and detection and counting of the labeled features thereon, are described.
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公开(公告)号：US20160376583A1
公开(公告)日：2016-12-29
申请号：US15217896
申请日：2016-07-22
Applicant: Cellular Research, Inc.
Inventor： Stephen P.A. Fodor , Glenn K. Fu
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6809 , C12Q1/6837 , C12Q1/6851 , C12Q1/686 , C12Q1/6869 , C12Q1/6876 , G06F19/20 , G06F19/22 , C12Q2565/102 , C12Q2537/157 , C12Q2525/191
Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
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公开(公告)号：US20150299784A1
公开(公告)日：2015-10-22
申请号：US14472363
申请日：2014-08-28
Applicant: Cellular Research, Inc.
Inventor： Christina Fan , Stephen P.A. Fodor , Glenn Fu , Geoffrey Richard Facer , Julie Wilhelmy
IPC: C12Q1/68
CPC classification number: C12Q1/6888 , C12Q1/6874 , C12Q1/6876 , C12Q1/6881 , C12Q2600/158 , C12Q2600/16 , C12Q2563/159 , C12Q2563/185
Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
Abstract translation: 本公开提供了用于单个细胞的多重核酸分析的方法，组合物和试剂盒。 方法，组合物和系统可用于大规模并行单细胞测序。 方法，组成和系统可用于同时分析数千个细胞。 数千个细胞可以包含混合的细胞群体（例如，不同类型或亚型的细胞，不同大小的细胞）。
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公开(公告)号：US20150119290A1
公开(公告)日：2015-04-30
申请号：US14326454
申请日：2014-07-08
Applicant: Cellular Research, Inc.
Inventor： Stephen P.A. Fodor , Glenn K. Fu
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6809 , C12Q1/6837 , C12Q1/6851 , C12Q1/686 , C12Q1/6869 , C12Q1/6876 , G16B25/00 , G16B30/00 , C12Q2565/102 , C12Q2537/157 , C12Q2525/191
Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
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公开(公告)号：US20150119258A1
公开(公告)日：2015-04-30
申请号：US14326452
申请日：2014-07-08
Applicant: Cellular Research, Inc.
Inventor： Stephen P.A. Fodor , Glenn K. Fu
IPC: C12Q1/68
CPC classification number: C12Q1/6874 , C12N15/1065 , C12Q1/6809 , C12Q1/6837 , C12Q1/6851 , C12Q1/686 , C12Q1/6869 , C12Q1/6876 , G16B25/00 , G16B30/00 , C12Q2565/102 , C12Q2537/157 , C12Q2525/191
Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
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