Evidence map›Paper›PMID 26503244›Full record

ArticleNucleic acids research2016

sRNATarBase 3.0: an updated database for sRNA-target interactions in bacteria.

Jiang Wang, Tao Liu, Bo Zhao, Qixuan Lu, Zheng Wang, Yuan Cao, Wuju Li

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Review
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  9. CsrA Shows Selective Regulation of sRNA-mRNA Networks.bioRxiv : the preprint server for biology · 2023
    Article
  10. CsrA selectively modulates sRNA-mRNA regulator outcomes.Frontiers in molecular biosciences · 2023
    Article
  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiang WangCenter of Computational Biology, Beijing Institute of Basic Medical Sciences, Haidian district, Beijing 100850, China.
Tao LiuCenter of Computational Biology, Beijing Institute of Basic Medical Sciences, Haidian district, Beijing 100850, China.
Bo ZhaoCenter of Computational Biology, Beijing Institute of Basic Medical Sciences, Haidian district, Beijing 100850, China.
Qixuan LuCenter of Computational Biology, Beijing Institute of Basic Medical Sciences, Haidian district, Beijing 100850, China.
Zheng WangCenter of Computational Biology, Beijing Institute of Basic Medical Sciences, Haidian district, Beijing 100850, China.
Yuan CaoDepartment of Laboratory Medicine, Jinan Military General Hospital, Jinan, Shandong 250031, China labs.net@gmail.com.
Wuju LiCenter of Computational Biology, Beijing Institute of Basic Medical Sciences, Haidian district, Beijing 100850, China wujuchina@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial sRNAs are a class of small regulatory RNAs of about 40-500 nt in length; they play multiple biological roles through binding to their target mRNAs or proteins. Therefore, elucidating sRNA targets is very important. However, only targets of a few sRNAs have been described. To facilitate sRNA functional studies such as developing sRNA target prediction models, we updated the sRNATarBase database, which was initially developed in 2010. The new version (recently moved to http://ccb1.bmi.ac.cn/srnatarbase/) contains 771 sRNA-target entries manually collected from 213 papers, and 23 290 and 11 750 predicted targets from sRNATarget and sTarPicker, respectively. Among the 771 entries, 475 and 17 were involved in validated sRNA-mRNA and sRNA-protein interactions, respectively, while 279 had no reported interactions. We also presented detailed information for 316 binding regions of sRNA-target mRNA interactions and related mutation experiments, as well as new features, including NCBI sequence viewer, sRNA regulatory network, target prediction-based GO and pathway annotations, and error report system. The new version provides a comprehensive annotation of validated sRNA-target interactions, and will be a useful resource for bacterial sRNA studies.

Indexed as

Databases, Nucleic AcidBacterial ProteinsData CurationGene Expression Regulation, BacterialGene Regulatory NetworksGenomicsRNA, BacterialRNA, MessengerRNA, Small UntranslatedBacterial ProteinsRNA, BacterialRNA, MessengerRNA, Small Untranslated

Identifiers

PMID26503244
PMCPMC4702819

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.