Quantitative profiling of peptides from RNAs classified as noncoding

非编码 RNA 肽的定量分析

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作者:Sudhakaran Prabakaran, Martin Hemberg, Ruchi Chauhan, Dominic Winter, Ry Y Tweedie-Cullen, Christian Dittrich, Elizabeth Hong, Jeremy Gunawardena, Hanno Steen, Gabriel Kreiman, Judith A Steen

Abstract

Only a small fraction of the mammalian genome codes for messenger RNAs destined to be translated into proteins, and it is generally assumed that a large portion of transcribed sequences--including introns and several classes of noncoding RNAs (ncRNAs)--do not give rise to peptide products. A systematic examination of translation and physiological regulation of ncRNAs has not been conducted. Here we use computational methods to identify the products of non-canonical translation in mouse neurons by analysing unannotated transcripts in combination with proteomic data. This study supports the existence of non-canonical translation products from both intragenic and extragenic genomic regions, including peptides derived from antisense transcripts and introns. Moreover, the studied novel translation products exhibit temporal regulation similar to that of proteins known to be involved in neuronal activity processes. These observations highlight a potentially large and complex set of biologically regulated translational events from transcripts formerly thought to lack coding potential.

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