DIGITAL ANALYSIS OF MOLECULAR ANALYTES USING SINGLE MOLECULE DETECTION Russian patent published in 2018 - IPC G06F19/00 

Abstract RU 2670133 C2

FIELD: biotechnology.

SUBSTANCE: invention relates to biotechnology. Described is a method for detecting a plurality of analytes. plurality of ordered probe reagent sets is obtained, wherein each of said ordered probe reagent sets comprising one or more probes directed to a defined subset of N distinct single molecule target analytes. Each single molecule target analyte is a component of a physiological sample. Each N distinct single molecule target substrate of the distinct single molecule target substrate is immobilized on a substrate, in the region spatially separated from any other N distinct single molecule target analyte of distinct single molecule target analytes. Each of said probes is detectably labeled so that the detected signal is generated by binding of one probe with distinct single molecule target analyte. At least M cycles of probe binding and signal detection are performed. Each cycle comprises one or more passes, wherein a pass comprises use of at least one of said ordered probe reagent sets. From said at least M cycles, a presence or an absence of a plurality of signals from said spatially separate regions of said substrate is detected, and at least K bits of information per cycle for one or more of said N distinct single molecule target analytes are determined from said plurality of signals. Said at least K bits of information are used to determine L total bits of information. Wherein K×M=L bits of information and L>log2 (N). L bits of information are used to determine a presence or an absence of one or more of said N distinct single molecule target analytes. Corresponding kit for detecting a plurality of single molecule analytes is also described.

EFFECT: digital analysis of molecular analytes using single molecule detection is proposed.

20 cl, 24 dwg, 19 tbl, 8 ex

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RU 2 670 133 C2

Authors

Staker Bryan P.

Liu Niandong

Staker Bart Lee

Mclaughlin Michael David

Dates

2018-10-18Published

2013-11-19Filed