Evidence map›Paper›PMID 24066122›Full record

ArticlePloS one2013

RNA-Seq analysis of Mycobacterium avium non-coding transcriptome.

Dmitriy Ignatov, Sofia Malakho, Konstantin Majorov, Timofey Skvortsov, Alexander Apt, Tatyana Azhikina

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Small RNA F6 ProvidesInternational journal of molecular sciences · 2021
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Transcriptome Landscape ofFrontiers in microbiology · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Small RNAs in mycobacteria: an unfolding story.Frontiers in cellular and infection microbiology · 2014
    Review
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 3 institutions in 1 country.

Dmitriy IgnatovShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Sofia Malakho
Konstantin Majorov
Timofey Skvortsov
Alexander Apt
Tatyana Azhikina
Institute of Bioorganic Chemistry · RUCentral Scientific Research Institute of Tuberculosis Russian Academy of Medical Sciences · RUInstitute of Physiologically Active Compounds · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep sequencing was implemented to study the transcriptional landscape of Mycobacterium avium. High-resolution transcriptome analysis identified the transcription start points for 652 genes. One third of these genes represented leaderless transcripts, whereas the rest of the transcripts had 5' UTRs with the mean length of 83 nt. In addition, the 5' UTRs of 6 genes contained SAM-IV and Ykok types of riboswitches. 87 antisense RNAs and 10 intergenic small RNAs were mapped. 6 intergenic small RNAs, including 4.5S RNA and rnpB, were transcribed at extremely high levels. Although several intergenic sRNAs are conserved in M. avium and M. tuberculosis, both of these species have unique intergenic sRNAs. Moreover, we demonstrated that even conserved small RNAs are regulated differently in these species. Different sets of intergenic sRNAs may underlie differences in physiology between conditionally pathogenic M. avium and highly specialized pathogen M. tuberculosis.

Indexed as

Gene Expression Regulation, BacterialMycobacterium aviumRNA, AntisenseRNA, BacterialRNA, Small UntranslatedTranscriptome4.5S RNARNA, AntisenseRNA, BacterialRNA, Small Untranslated

Identifiers

PMID24066122
PMCPMC3774663
OpenAlexW2024817467

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.