Evidence map›Paper›PMID 24244498›Full record

ArticlePloS one2013

Identification of novel sRNAs in mycobacterial species.

Chen-Hsun Tsai, Catherine Baranowski, Jonathan Livny, Kathleen A McDonough, Joseph T Wade, Lydia M Contreras

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Heliyon · 2023
    Article
  3. Dynamic Transcriptional Landscape ofInternational journal of molecular sciences · 2023
    Article
  4. Small RNA F6 ProvidesInternational journal of molecular sciences · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. On a stake-out:Non-coding RNA research · 2019
    Review
  10. Review
  11. Article
  12. Small RNA profiling inProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Article
  14. In silico prediction and qPCR validation of novel sRNAs inJournal, genetic engineering & biotechnology · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

6 authors at 4 institutions in 2 countries.

Chen-Hsun TsaiMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, United States of America.
Catherine Baranowski
Jonathan Livny
Kathleen A McDonough
Joseph T Wade
Lydia M Contreras
The University of Texas at Austin · USWadsworth Center · USBrigham and Women's Hospital · USNew York State Department of Health · US

Funding

SELF-SPLICING INTEINS: FUNCTION, EVOLUTION, APPLICATIONR01GM044844 · NIGMS · WADSWORTH CENTER · PI BELFORT, MARLENE · 1990 to 2019
$8.9M
SELF-SPLICING INTRONS IN THE PHAGE T4/E COLI SYSTEMR01GM039422 · NIGMS · WADSWORTH CENTER · PI BELFORT, MARLENE · 1988 to 2019
$5.3M
INTRON DYNAMICS IN BACTERIAR37GM039422 · NIGMS · WADSWORTH CENTER · PI BELFORT, MARLENE · 2001 to 2010
$4.0M
Pervasive transcription in bacterial genomesDP2OD007188 · OD · WADSWORTH CENTER · PI WADE, JOSEPH THOMAS · 2010 to 2010
$2.4M
NIGMS NIH HHS GM39422NIGMS NIH HHS GM44844NIGMS NIH HHS R01 GM039422NIGMS NIH HHS R01 GM044844NIGMS NIH HHS R37 GM039422NIH HHS 1DP2OD007188NIH HHS DP2 OD007188
6 · The paper itself

Abstract

Bacterial small RNAs (sRNAs) are short transcripts that typically do not encode proteins and often act as regulators of gene expression through a variety of mechanisms. Regulatory sRNAs have been identified in many species, including Mycobacterium tuberculosis, the causative agent of tuberculosis. Here, we use a computational algorithm to predict sRNA candidates in the mycobacterial species M. smegmatis and M. bovis BCG and confirmed the expression of many sRNAs using Northern blotting. Thus, we have identified 17 and 23 novel sRNAs in M. smegmatis and M. bovis BCG, respectively. We have also applied a high-throughput technique (Deep-RACE) to map the 5' and 3' ends of many of these sRNAs and identified potential regulators of sRNAs by analysis of existing ChIP-seq datasets. The sRNAs identified in this work likely contribute to the unique biology of mycobacteria.

Indexed as

Biological TransportChromatin ImmunoprecipitationGene Expression ProfilingGene OrderHigh-Throughput Nucleotide SequencingMycobacteriumReproducibility of ResultsRNA, BacterialRNA, Bacterial

Identifiers

PMID24244498
PMCPMC3828370
OpenAlexW2108775641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.