Evidence map›Paper›PMID 20502517›Full record

ArticlePLoS biology2010

Most "dark matter" transcripts are associated with known genes.

Harm van Bakel, Corey Nislow, Benjamin J Blencowe, Timothy R Hughes

Abstract read
In one paragraph

Article in PLoS biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 255 papers.

0numbers the graph read from it
0cells of the map it votes in
255citing papers in PubMed
–field-weighted citation impact
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

255 citing papers in PubMed.

  1. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  17. ChEAP: ChIP-exo analysis pipeline and the investigation ofComputational and structural biotechnology journal · 2023
    Article
  18. Review
  19. Article
  20. Article

195 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Harm van BakelBanting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada.
Corey Nislow
Benjamin J Blencowe
Timothy R Hughes

Funding

Canadian Institutes of Health Research 193588
6 · The paper itself

Abstract

A series of reports over the last few years have indicated that a much larger portion of the mammalian genome is transcribed than can be accounted for by currently annotated genes, but the quantity and nature of these additional transcripts remains unclear. Here, we have used data from single- and paired-end RNA-Seq and tiling arrays to assess the quantity and composition of transcripts in PolyA+ RNA from human and mouse tissues. Relative to tiling arrays, RNA-Seq identifies many fewer transcribed regions ("seqfrags") outside known exons and ncRNAs. Most nonexonic seqfrags are in introns, raising the possibility that they are fragments of pre-mRNAs. The chromosomal locations of the majority of intergenic seqfrags in RNA-Seq data are near known genes, consistent with alternative cleavage and polyadenylation site usage, promoter- and terminator-associated transcripts, or new alternative exons; indeed, reads that bridge splice sites identified 4,544 new exons, affecting 3,554 genes. Most of the remaining seqfrags correspond to either single reads that display characteristics of random sampling from a low-level background or several thousand small transcripts (median length = 111 bp) present at higher levels, which also tend to display sequence conservation and originate from regions with open chromatin. We conclude that, while there are bona fide new intergenic transcripts, their number and abundance is generally low in comparison to known exons, and the genome is not as pervasively transcribed as previously reported.

Indexed as

DNA, IntergenicGenomeGenome, HumanTranscription, GeneticAnimalsComputational BiologyExonsGene Expression ProfilingHumansMiceOligonucleotide Array Sequence AnalysisOrgan SpecificityRNA, MessengerRNA, UntranslatedSequence Analysis, RNADNA, IntergenicRNA, MessengerRNA, Untranslated

Identifiers

PMID20502517
PMCPMC2872640

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.