Literature DB >> 17604727

A mammalian microRNA expression atlas based on small RNA library sequencing.

Pablo Landgraf1, Mirabela Rusu, Robert Sheridan, Alain Sewer, Nicola Iovino, Alexei Aravin, Sébastien Pfeffer, Amanda Rice, Alice O Kamphorst, Markus Landthaler, Carolina Lin, Nicholas D Socci, Leandro Hermida, Valerio Fulci, Sabina Chiaretti, Robin Foà, Julia Schliwka, Uta Fuchs, Astrid Novosel, Roman-Ulrich Müller, Bernhard Schermer, Ute Bissels, Jason Inman, Quang Phan, Minchen Chien, David B Weir, Ruchi Choksi, Gabriella De Vita, Daniela Frezzetti, Hans-Ingo Trompeter, Veit Hornung, Grace Teng, Gunther Hartmann, Miklos Palkovits, Roberto Di Lauro, Peter Wernet, Giuseppe Macino, Charles E Rogler, James W Nagle, Jingyue Ju, F Nina Papavasiliou, Thomas Benzing, Peter Lichter, Wayne Tam, Michael J Brownstein, Andreas Bosio, Arndt Borkhardt, James J Russo, Chris Sander, Mihaela Zavolan, Thomas Tuschl.   

Abstract

MicroRNAs (miRNAs) are small noncoding regulatory RNAs that reduce stability and/or translation of fully or partially sequence-complementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ systems and cell types of human and rodents that were enriched in neuronal as well as normal and malignant hematopoietic cells and tissues. We present expression profiles derived from clone count data and provide computational tools for their analysis. Unexpectedly, a relatively small set of miRNAs, many of which are ubiquitously expressed, account for most of the differences in miRNA profiles between cell lineages and tissues. This broad survey also provides detailed and accurate information about mature sequences, precursors, genome locations, maturation processes, inferred transcriptional units, and conservation patterns. We also propose a subclassification scheme for miRNAs for assisting future experimental and computational functional analyses.

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Year:  2007        PMID: 17604727      PMCID: PMC2681231          DOI: 10.1016/j.cell.2007.04.040

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  67 in total

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  1806 in total

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