DIGITAL COUNTING OF INDIVIDUAL MOLECULES BY STOCHASTIC ATTACHMENT OF DIVERSE LABELS

    公开(公告)号:US20200224266A1

    公开(公告)日:2020-07-16

    申请号:US16551638

    申请日:2019-08-26

    摘要: 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.

    COMPOSITIONS AND KITS FOR MOLECULAR COUNTING

    公开(公告)号:US20210230582A1

    公开(公告)日:2021-07-29

    申请号:US17157872

    申请日:2021-01-25

    摘要: Methods, kits and systems are disclosed for analyzing one or more molecules in a sample. Analyzing the one or more molecules may comprise quantitation of the one or more molecules. Individual molecules may quantitated by PCR, arrays, beads, emulsions, droplets, or sequencing. Quantitation of individual molecules may further comprise stochastic labeling of the one or more molecules with a plurality of oligonucleotide tags to produce one or more stochastically labeled molecules. The methods may further comprise amplifying, sequencing, detecting, and/or quantifying the stochastically labeled molecules. The molecules may be DNA, RNA and/or proteins.