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A method for preparing unbiased miRNA sequencing libraries

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R43HG007788-01A1
Agency Tracking Number: R43HG007788
Amount: $269,378.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NHGRI
Solicitation Number: PA13-234
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
2161 DELAWARE AVE
SANTA CRUZ, CA 95060-5790
United States
DUNS: 13494781
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 SERGEI KAZAKOV
 (831) 426-7700
 skazakov@somagenics.com
Business Contact
 BRIAN JOHNSTON
Phone: (831) 426-7700
Email: bjohnston@somagenics.com
Research Institution
 Stub
Abstract

DESCRIPTION (provided by applicant): This proposal addresses the problem of bias in the expression profiling of microRNAs (miRNAs) and other small RNAs by next-generation sequencing (NGS). Because dysregulation of miRNA expression has been implicated in cancer and certain other diseases, accurate expression profiling of all miRNA sequences is important for understanding miRNA biology and for development of new biomarkers and therapeutic targets. NGS is currently the most comprehensive approach for digital gene expression profiling, and is used for the discovery of novel miRNA sequences, identification of sequence variants, and the quantification of known miRNAs. Unlike other expression profiling platforms such as microarrays or RT-qPCR, NGS combines unlimited multiplexing capability, single-molecule sensitivity, a superior dynamic range, and true sequence specificity without requiring prior knowledge of miRNA sequences. However, NGS expression profiling data underestimate the amount of many miRNAs in a s

* Information listed above is at the time of submission. *

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