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Single nucleotide resolution RNA-seq uncovers new regulatory mechanisms in the opportunistic pathogen Streptococcus agalactiae

Overview of attention for article published in BMC Genomics, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 news outlet
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15 X users
wikipedia
3 Wikipedia pages

Citations

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44 Dimensions

Readers on

mendeley
70 Mendeley
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1 CiteULike
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Title
Single nucleotide resolution RNA-seq uncovers new regulatory mechanisms in the opportunistic pathogen Streptococcus agalactiae
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1583-4
Pubmed ID
Authors

Isabelle Rosinski-Chupin, Elisabeth Sauvage, Odile Sismeiro, Adrien Villain, Violette Da Cunha, Marie-Elise Caliot, Marie-Agnès Dillies, Patrick Trieu-Cuot, Philippe Bouloc, Marie-Frédérique Lartigue, Philippe Glaser

Abstract

Streptococcus agalactiae, or Group B Streptococcus, is a leading cause of neonatal infections and an increasing cause of infections in adults with underlying diseases. In an effort to reconstruct the transcriptional networks involved in S. agalactiae physiology and pathogenesis, we performed an extensive and robust characterization of its transcriptome through a combination of differential RNA-sequencing in eight different growth conditions or genetic backgrounds and strand-specific RNA-sequencing. Our study identified 1,210 transcription start sites (TSSs) and 655 transcript ends as well as 39 riboswitches and cis-regulatory regions, 39 cis-antisense non-coding RNAs and 47 small RNAs potentially acting in trans. Among these putative regulatory RNAs, ten were differentially expressed in response to an acid stress and two riboswitches sensed directly or indirectly the pH modification. Strikingly, 15% of the TSSs identified were associated with the incorporation of pseudo-templated nucleotides, showing that reiterative transcription is a pervasive process in S. agalactiae. In particular, 40% of the TSSs upstream genes involved in nucleotide metabolism show reiterative transcription potentially regulating gene expression, as exemplified for pyrG and thyA encoding the CTP synthase and the thymidylate synthase respectively. This comprehensive map of the transcriptome at the single nucleotide resolution led to the discovery of new regulatory mechanisms in S. agalactiae. It also provides the basis for in depth analyses of transcriptional networks in S. agalactiae and of the regulatory role of reiterative transcription following variations of intra-cellular nucleotide pools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Iran, Islamic Republic of 1 1%
Germany 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Bachelor 10 14%
Student > Ph. D. Student 8 11%
Student > Master 8 11%
Student > Postgraduate 4 6%
Other 14 20%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 40%
Biochemistry, Genetics and Molecular Biology 18 26%
Medicine and Dentistry 4 6%
Immunology and Microbiology 4 6%
Unspecified 1 1%
Other 4 6%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2022.
All research outputs
#1,757,603
of 23,567,572 outputs
Outputs from BMC Genomics
#414
of 10,777 outputs
Outputs of similar age
#23,397
of 267,943 outputs
Outputs of similar age from BMC Genomics
#12
of 251 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.