Evidence map›Paper›PMID 21610211›Full record

ArticleRNA (New York, N.Y.)2011

The rocks and shallows of deep RNA sequencing: Examples in the Vibrio cholerae RNome.

Carsten A Raabe, Chee Hock Hoe, Gerrit Randau, Juergen Brosius, Thean Hock Tang, Timofey S Rozhdestvensky

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Utilization of Small RNA Genes to DistinguishThe American journal of tropical medicine and hygiene · 2019
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Differential RNA-seq of Vibrio cholerae identifies the VqmR small RNA as a regulator of biofilm formation.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  13. Article
  14. Article
  15. Biases in small RNA deep sequencing data.Nucleic acids research · 2014
    Review
  16. Article
  17. Article
  18. Article
  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 2 institutions in 2 countries.

Carsten A RaabeInstitute of Experimental Pathology, University of Muenster, 48149 Muenster, Germany.
Chee Hock Hoe
Gerrit Randau
Juergen Brosius
Thean Hock Tang
Timofey S Rozhdestvensky
University of Münster · DEUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New deep RNA sequencing methodologies in transcriptome analyses identified a wealth of novel nonprotein-coding RNAs (npcRNAs). Recently, deep sequencing was used to delineate the small npcRNA transcriptome of the human pathogen Vibrio cholerae and 627 novel npcRNA candidates were identified. Here, we report the detection of 223 npcRNA candidates in V. cholerae by different cDNA library construction and conventional sequencing methods. Remarkably, only 39 of the candidates were common to both surveys. We therefore examined possible biasing influences in the transcriptome analyses. Key steps, including tailing and adapter ligations for generating cDNA, contribute qualitatively and quantitatively to the discrepancies between data sets. In addition, the state of 5'-end phosphorylation influences the efficiency of adapter ligation and C-tailing at the 3'-end of the RNA. Finally, our data indicate that the inclusion of sample-specific molecular identifier sequences during ligation steps also leads to biases in cDNA representation. In summary, even deep sequencing is unlikely to identify all RNA species, and caution should be used for meta-analyses among alternatively generated data sets.

Indexed as

Gene Expression ProfilingCloning, MolecularCluster AnalysisDNA LigasesHigh-Throughput Nucleotide SequencingModels, BiologicalRNA, BacterialRNA, UntranslatedSequence Analysis, RNAValidation Studies as TopicVibrio choleraeDNA LigasesRNA, BacterialRNA, Untranslated

Identifiers

PMID21610211
PMCPMC3138571
OpenAlexW2163051645

What OpenQuestion holds

Textmetadata
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.