A mammalian microRNA expression atlas based on small RNA library sequencing

Landgraf, P. and Rusu, M. and Sheridan, R. and Sewer, A. and Iovino, N. and Aravin, A. and Pfeffer, S. and Rice, A. and Kamphorst, A. O. and Landthaler, M. and Lin, C. and Socci, N. D. and Hermida, L. and Fulci, V. and Chiaretti, S. and Foa, R. and Schliwka, J. and Fuchs, U. and Novosel, A. and Muller, R. -U. and Schermer, B. and Bissels, U. and Inman, J. and Phan, Q. and Chien, M. and Weir, D. B. and Choksi, R. and De Vita, G. and Frezzetti, D. and Trompeter, H. -I. and Hornung, V. and Teng, G. and Hartmann, G. and Palkovits, M. and Di Lauro, R. and Wernet, P. and Macino, G. and Rogler, C. E. and Nagle, J. W. and Ju, J. and Papavasiliou, F. N. and Benzing, T. and Lichter, P. and Tam, W. and Brownstein, M. J. and Bosio, A. and Borkhardt, A. and Russo, J. J. and Sander, C. and Zavolan, M. and Tuschl, T.. (2007) A mammalian microRNA expression atlas based on small RNA library sequencing. Cell, 129 (7). pp. 1401-1414.

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Official URL: http://edoc.unibas.ch/dok/A5259654

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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.

Faculties and Departments:	05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (Zavolan)
UniBasel Contributors:	Zavolan, Mihaela
Item Type:	Article, refereed
Article Subtype:	Research Article
Publisher:	Cell Press
ISSN:	0092-8674
Note:	Publication type according to Uni Basel Research Database: Journal article
Related URLs:	Green Open Access
Identification Number:	doi: 10.1016/j.cell.2007.04.040 pmid: 17604727 isi: 000247911400024
Last Modified:	13 Apr 2018 14:17
Deposited On:	22 Mar 2012 13:23

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