A method for preparing unbiased miRNA sequencing libraries (miR-ACS)
A method for preparing unbiased miRNA sequencing libraries (miR-ACS)
批准号:
9360639
负责人:
SERGEI A KAZAKOV
金额:
$80.38万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-11 至 2019-02-28
关键词:
AddressAdoptionAffectApplications GrantsBiologicalBiological MarkersBiologyCancer PatientDataDetectionDevelopmentDimerizationDiseaseDrug TargetingEarly DiagnosisGelGoalsIndividualKnowledgeLettersLibrariesLigaseLigationMalignant NeoplasmsMeasurementMessenger RNAMethodsMicroRNAsMolecular ProfilingMonitorNew EnglandPerformancePhasePhosphorylationPreparationProceduresProgress ReportsProtocols documentationPublicationsRNARNA SequencesReactionReagentReportingReproducibilityReverse TranscriptionRoleSamplingSmall RNASourceTechnologyTestingTimeTranscriptWorkcancer biomarkerscostdesigndimerexperimental studyhuman tissuemicroRNA biomarkersnext generation sequencingnovelnovel strategiespreventprototypetherapeutic targettranscriptome sequencingtumor
中文摘要
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英文摘要
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 10,000-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 3'- and 5'-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 5'- and 3'-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 150 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.
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海外基金