Evidence map›Paper›PMID 18725932›Full record

ArticlePLoS genetics2008

Deep sequencing analysis of small noncoding RNA and mRNA targets of the global post-transcriptional regulator, Hfq.

Alexandra Sittka, Sacha Lucchini, Kai Papenfort, Cynthia M Sharma, Katarzyna Rolle, Tim T Binnewies, Jay C D Hinton, Jörg Vogel

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 326 papers.

0numbers the graph read from it
0cells of the map it votes in
326citing papers in PubMed
77.2field-weighted citation impact, top 1% 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

326 citing papers in PubMed, 564 citations in OpenAlex.

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  7. An RNase III-processed sRNA coordinates sialic acid metabolism ofProceedings of the National Academy of Sciences of the United States of America · 2025
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266 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 3 countries.

Alexandra SittkaMax Planck Institute for Infection Biology, RNA Biology, Berlin, Germany.
Sacha Lucchini
Kai Papenfort
Cynthia M Sharma
Katarzyna Rolle
Tim T Binnewies
Jay C D Hinton
Jörg Vogel
Max Planck Institute for Infection Biology · DEMax Planck Society · DEQuadram Institute · GBTechnical University of Denmark · DK

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Recent advances in high-throughput pyrosequencing (HTPS) technology now allow a thorough analysis of RNA bound to cellular proteins, and, therefore, of post-transcriptional regulons. We used HTPS to discover the Salmonella RNAs that are targeted by the common bacterial Sm-like protein, Hfq. Initial transcriptomic analysis revealed that Hfq controls the expression of almost a fifth of all Salmonella genes, including several horizontally acquired pathogenicity islands (SPI-1, -2, -4, -5), two sigma factor regulons, and the flagellar gene cascade. Subsequent HTPS analysis of 350,000 cDNAs, derived from RNA co-immunoprecipitation (coIP) with epitope-tagged Hfq or control coIP, identified 727 mRNAs that are Hfq-bound in vivo. The cDNA analysis discovered new, small noncoding RNAs (sRNAs) and more than doubled the number of sRNAs known to be expressed in Salmonella to 64; about half of these are associated with Hfq. Our analysis explained aspects of the pleiotropic effects of Hfq loss-of-function. Specifically, we found that the mRNAs of hilD (master regulator of the SPI-1 invasion genes) and flhDC (flagellar master regulator) were bound by Hfq. We predicted that defective SPI-1 secretion and flagellar phenotypes of the hfq mutant would be rescued by overexpression of HilD and FlhDC, and we proved this to be correct. The combination of epitope-tagging and HTPS of immunoprecipitated RNA detected the expression of many intergenic chromosomal regions of Salmonella. Our approach overcomes the limited availability of high-density microarrays that have impeded expression-based sRNA discovery in microorganisms. We present a generic strategy that is ideal for the systems-level analysis of the post-transcriptional regulons of RNA-binding proteins and for sRNA discovery in a wide range of bacteria.

Indexed as

RNA Processing, Post-TranscriptionalFlagellaGene Expression ProfilingGene Expression Regulation, BacterialHost Factor 1 ProteinMolecular Sequence DataRegulonRNA, BacterialRNA, MessengerRNA, UntranslatedSalmonella typhimuriumSequence Analysis, DNAVirulenceHost Factor 1 ProteinRNA, BacterialRNA, MessengerRNA, Untranslated

Identifiers

PMID18725932
PMCPMC2515195
OpenAlexW2134412337

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.