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Genome-Wide Discovery of Small RNAs in Mycobacterium tuberculosis

Overview of attention for article published in PLOS ONE, December 2012
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Title
Genome-Wide Discovery of Small RNAs in Mycobacterium tuberculosis
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051950
Pubmed ID
Authors

Paolo Miotto, Francesca Forti, Alessandro Ambrosi, Danilo Pellin, Diogo F. Veiga, Gabor Balazsi, Maria L. Gennaro, Clelia Di Serio, Daniela Ghisotti, Daniela M. Cirillo

Abstract

Only few small RNAs (sRNAs) have been characterized in Mycobacterium tuberculosis and their role in regulatory networks is still poorly understood. Here we report a genome-wide characterization of sRNAs in M. tuberculosis integrating experimental and computational analyses. Global RNA-seq analysis of exponentially growing cultures of M. tuberculosis H37Rv had previously identified 1373 sRNA species. In the present report we show that 258 (19%) of these were also identified by microarray expression. This set included 22 intergenic sRNAs, 84 sRNAs mapping within 5'/3' UTRs, and 152 antisense sRNAs. Analysis of promoter and terminator consensus sequences identified sigma A promoter consensus sequences for 121 sRNAs (47%), terminator consensus motifs for 22 sRNAs (8.5%), and both motifs for 35 sRNAs (14%). Additionally, 20/23 candidates were visualized by Northern blot analysis and 5' end mapping by primer extension confirmed the RNA-seq data. We also used a computational approach utilizing functional enrichment to identify the pathways targeted by sRNA regulation. We found that antisense sRNAs preferentially regulated transcription of membrane-bound proteins. Genes putatively regulated by novel cis-encoded sRNAs were enriched for two-component systems and for functional pathways involved in hydrogen transport on the membrane.

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Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Netherlands 1 <1%
Italy 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 134 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 28%
Researcher 37 26%
Student > Master 21 15%
Student > Postgraduate 7 5%
Student > Bachelor 7 5%
Other 19 13%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 43%
Biochemistry, Genetics and Molecular Biology 30 21%
Immunology and Microbiology 13 9%
Medicine and Dentistry 8 6%
Engineering 5 4%
Other 9 6%
Unknown 16 11%