The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 02, 2017

Filed:

Feb. 13, 2013
Applicant:

The Johns Hopkins University, Baltimore, MD (US);

Inventors:

Tza-Huei Wang, Timonium, MD (US);

Kelvin J. Liu, Baltimore, MD (US);

Yunke Song, Baltimore, MD (US);

Assignee:

The Johns Hopkins University, Baltimore, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
C12Q 1/68 (2006.01); C12P 19/34 (2006.01); C12M 1/34 (2006.01); C07H 21/04 (2006.01); C40B 30/04 (2006.01); C40B 40/06 (2006.01); G01N 31/22 (2006.01); C12Q 1/25 (2006.01); C12N 15/11 (2006.01);
U.S. Cl.
CPC ...
C12Q 1/6862 (2013.01); C12N 15/111 (2013.01); C12Q 1/25 (2013.01); C12Q 1/6813 (2013.01); C12N 2310/141 (2013.01); C12N 2320/10 (2013.01); G01N 2333/9015 (2013.01);
Abstract

The present invention provides a PCR-free, multiplexed ligation assay for miRNA expression analysis that produces highly quantitative, 10-100 plex miRNA profiling in a single reaction. The inventive methods use a 2-step ligation assay to generate an array of miRNA specific ligation products that can be decoded and quantified by a size discrimination method such as gel electrophoresis or single molecule separation. One embodiment is a low-cost assay that can be performed using standard tools available in nearly all molecular biology laboratories. This assay requires nothing more than a gel apparatus and reader for detection. Other embodiments include use of magnetic beads and other size exclusion apparatus which give increasingly higher sensitivity, lower sample consumption, and reduced processing steps.


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