4.8 Article

Discriminating single-base difference miRNA expressions using microarray Probe Design Guru (ProDeG)

期刊

NUCLEIC ACIDS RESEARCH
卷 36, 期 5, 页码 -

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OXFORD UNIV PRESS
DOI: 10.1093/nar/gkm1165

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  1. NIDA NIH HHS [U54 DA021519, U54-DA021519] Funding Source: Medline
  2. NIMH NIH HHS [K01 MH064596, MH064596] Funding Source: Medline

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MicroRNAs ( miRNA) are endogenous tissue-specific short RNAs that regulate gene expression. Discriminating each let-7 family member expression is especially important due to let-7's abundance and connection with development and cancer. However, short lengths ( 22 nt) and similarities between multiple sequences have prevented identification of individual members. Here, we present ProDeG, a computational algorithm which designs imperfectly matched sequences ( previously yielding only noise levels in microarray experiments) for genome-wide microarray signal'' probes to discriminate single nucleotide differences and to improve probe qualities. Our probes for the entire let-7 family are both homogeneous and specific, verified using microarray signals from fluorescent dye-tagged oligo-nucleotides corresponding to the let-7 family, demonstrating the power of our algorithm. In addition, false let-7c signals from conventional perfectly-matched probes were identified in lymphoblastoid cell-line samples through comparison with our probe-set signals, raising concerns about false let-7 family signals in conventional microarray platform.

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