Evidence map›Paper›PMID 23062031›Full record

ArticleBMC genomics2012

Identification of novel growth phase- and media-dependent small non-coding RNAs in Streptococcus pyogenes M49 using intergenic tiling arrays.

Nadja Patenge, André Billion, Peter Raasch, Jana Normann, Aleksandra Wisniewska-Kucper, Julia Retey, Valesca Boisguérin, Thomas Hartsch, Torsten Hain, Bernd Kreikemeyer

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A Glycine Riboswitch inFrontiers in microbiology · 2018
    Article
  6. Article
  7. Article
  8. In silico prediction and qPCR validation of novel sRNAs inJournal, genetic engineering & biotechnology · 2016
    Article
  9. Article
  10. Editorial: Small Non-coding RNAs inFrontiers in genetics · 2016
    Article
  11. Review
  12. Article
  13. Review
  14. Molecular epidemiology and genomics of group A Streptococcus.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2015
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 5 institutions in 2 countries.

Nadja PatengeInstitute of Medical Microbiology and Hospital Hygiene, University of Rostock, Schillingallee 70, 18057, Rostock, Germany.
André Billion
Peter Raasch
Jana Normann
Aleksandra Wisniewska-Kucper
Julia Retey
Valesca Boisguérin
Thomas Hartsch
Torsten Hain
Bernd Kreikemeyer
University of Rostock · DEGenedata (Switzerland) · CHInstitute of Medical Microbiology and Hygiene · DEUniversity of Giessen · DEBioMed X Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall non-coding RNAs (sRNAs) have attracted attention as a new class of gene regulators in both eukaryotes and bacteria. Genome-wide screening methods have been successfully applied in Gram-negative bacteria to identify sRNA regulators. Many sRNAs are well characterized, including their target mRNAs and mode of action. In comparison, little is known about sRNAs in Gram-positive pathogens. In this study, we identified novel sRNAs in the exclusively human pathogen Streptococcus pyogenes M49 (Group A Streptococcus, GAS M49), employing a whole genome intergenic tiling array approach. GAS is an important pathogen that causes diseases ranging from mild superficial infections of the skin and mucous membranes of the naso-pharynx, to severe toxic and invasive diseases.

resultsWe identified 55 putative sRNAs in GAS M49 that were expressed during growth. Of these, 42 were novel. Some of the newly-identified sRNAs belonged to one of the common non-coding RNA families described in the Rfam database. Comparison of the results of our screen with the outcome of two recently published bioinformatics tools showed a low level of overlap between putative sRNA genes. Previously, 40 potential sRNAs have been reported to be expressed in a GAS M1T1 serotype, as detected by a whole genome intergenic tiling array approach. Our screen detected 12 putative sRNA genes that were expressed in both strains. Twenty sRNA candidates appeared to be regulated in a medium-dependent fashion, while eight sRNA genes were regulated throughout growth in chemically defined medium. Expression of candidate genes was verified by reverse transcriptase-qPCR. For a subset of sRNAs, the transcriptional start was determined by 5' rapid amplification of cDNA ends-PCR (RACE-PCR) analysis.

conclusionsIn accord with the results of previous studies, we found little overlap between different screening methods, which underlines the fact that a comprehensive analysis of sRNAs expressed by a given organism requires the complementary use of different methods and the investigation of several environmental conditions. Despite a high conservation of sRNA genes within streptococci, the expression of sRNAs appears to be strain specific.

Indexed as

Base SequenceBlotting, NorthernComputational BiologyDNA, IntergenicGene Expression Regulation, BacterialGenome, BacterialMolecular Sequence DataReverse Transcriptase Polymerase Chain ReactionRNA, Small UntranslatedSequence HomologySpecies SpecificityStreptococcus pyogenesDNA, IntergenicRNA, Small Untranslated

Identifiers

PMID23062031
PMCPMC3542284
OpenAlexW1969736021

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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.