Evidence map›Paper›PMID 20150415›Full record

ArticleNucleic acids research2010

RNPomics: defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles.

Mathieu Rederstorff, Stephan H Bernhart, Andrea Tanzer, Marek Zywicki, Katrin Perfler, Melanie Lukasser, Ivo L Hofacker, Alexander Hüttenhofer

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2010. 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
3.5field-weighted citation impact, top 7% 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, 48 citations in OpenAlex.

  1. Article
  2. Review
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  7. Grad-seq guides the discovery of ProQ as a major small RNA-binding protein.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
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  11. Characterization of the human ESC transcriptome by hybrid sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  12. Article
  13. Processing of snoRNAs as a new source of regulatory non-coding RNAs: snoRNA fragments form a new class of functional RNAs.BioEssays : news and reviews in molecular, cellular and developmental biology · 2013
    Review
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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 2 institutions in 1 country.

Mathieu RederstorffDivision of Genomics and RNomics, Innsbruck Biocentre, Innsbruck Medical University, Innsbruck and Institute of Theoretical Chemistry, University of Vienna, Vienna, Austria.
Stephan H Bernhart
Andrea Tanzer
Marek Zywicki
Katrin Perfler
Melanie Lukasser
Ivo L Hofacker
Alexander Hüttenhofer
Innsbruck Medical University · ATUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to 450,000 non-coding RNAs (ncRNAs) have been predicted to be transcribed from the human genome. However, it still has to be elucidated which of these transcripts represent functional ncRNAs. Since all functional ncRNAs in Eukarya form ribonucleo-protein particles (RNPs), we generated specialized cDNA libraries from size-fractionated RNPs and validated the presence of selected ncRNAs within RNPs by glycerol gradient centrifugation. As a proof of concept, we applied the RNP method to human Hela cells or total mouse brain, and subjected cDNA libraries, generated from the two model systems, to deep-sequencing. Bioinformatical analysis of cDNA sequences revealed several hundred ncRNP candidates. Thereby, ncRNAs candidates were mainly located in intergenic as well as intronic regions of the genome, with a significant overrepresentation of intron-derived ncRNA sequences. Additionally, a number of ncRNAs mapped to repetitive sequences. Thus, our RNP approach provides an efficient way to identify new functional small ncRNA candidates, involved in RNP formation.

Indexed as

Gene LibraryAnimalsBase SequenceBrain ChemistryConserved SequenceExonsGene Expression ProfilingHeLa CellsHumansIntronsMiceRepetitive Sequences, Nucleic AcidRibonucleoproteinsRNA, UntranslatedRibonucleoproteinsRNA, Untranslated

Identifiers

PMID20150415
PMCPMC2879528
OpenAlexW1965774164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.