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A method for preparing unbiased miRNA sequencing libraries miR ACS

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 2R44HG007788-02A1
Agency Tracking Number: R44HG007788
Amount: $1,794,024.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 172
Solicitation Number: PA15-269
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-28
Award End Date (Contract End Date): 2019-02-28
Small Business Information
2161 DELAWARE ST STE E, Santa Cruz, CA, 95060-5790
DUNS: 013494781
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 (831) 426-7700
Business Contact
Phone: (831) 426-7700
Research Institution
ABSTRACT This proposal addresses the problem of sequence bias in next generation sequencing NGS of small RNAs such as microRNAs miRNAs as well as fragments of larger RNAs Because dysregulation of miRNA expression has been implicated in cancer and 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 discovery and expression profiling of small RNA sequences However NGS expression profiling data underestimate the abundance of most miRNAs in a sample some by as much as fold Knowledge of the true abundances in samples and not just the relative changes between samples is important for reliable identification of miRNAs as biomarkers or drug target candidates Other advantages of unbiased detection include the ability to discover novel RNAs and detect low abundance RNAs that cannot be detected by current NGS methods especially in samples with a low concentration of RNA The source of bias in currently available methods of preparation RNA sequencing libraries for NGS is inefficient and sequence dependent ligation of the two sequencing adapters to the sample RNAs The major factors contributing to this ligation bias are intramolecular folding of the miRNAs and intermolecular folding between miRNAs and adapters which affect the ability of the ligase to access and ligate the miRNA ends Thus there is a need for new more accurate methods and most previous small RNA profiling experiments should be re evaluated To address these problems we are developing a new approach miR ACS miRNA Adapter Circularization and Sequencing for preparing unbiased sequencing libraries that is applicable to miRNAs and other small RNAs as well as small fragments of large RNAs used in general RNA Seq Key features of miR ACS include i ligation of miRNAs with only a single combo adapter CAD that combines sequences of the standard andapos and andapos adapters used for Illumina sequencing producing miRNA CAD ligation products ii circularization of the miRNA CAD products iii blocking of free CAD species that are not ligated to miRNAs and iv RT PCR amplification of the circular miRNA CAD products to produce standard sequencing amplicons containing a single RNA specific sequence insert flanked by the andapos and andapos adapter sequences In Phase I we have demonstrated the feasibility of the miR ACS approach proof of concept by greatly reducing the miRNA sequencing bias in comparison to the best current library prep methods In Phase II we will thoroughly optimize miR ACS to maximize bias reduction and to allow sequencing of a larger variety of RNAs up to nt in size with very low RNA inputs In addition we will streamline the protocol to facilitate its adoption by users and for commercial viability HEALTH RELATEDNESS NARRATIVE MicroRNAs miRNAs are promising candidates as biomarkers of cancer and other diseases that could allow early diagnosis sub typing choice of targeted treatments and monitoring of the progress of therapy Although next generation sequencing NGS is the method of choice for discovering and expression profiling of miRNAs it underestimates the abundance of most miRNAs some by as much as fold because of sequence bias The goal of this grant application is to eliminate this bias to allow discovery of new RNA species and determination of the true abundance of RNAs in biological samples

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

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