Evidence map›Paper›PMID 21176148›Full record

ArticleBMC biology2010

The majority of total nuclear-encoded non-ribosomal RNA in a human cell is 'dark matter' un-annotated RNA.

Philipp Kapranov, Georges St Laurent, Tal Raz, Fatih Ozsolak, C Patrick Reynolds, Poul H B Sorensen, Gregory Reaman, Patrice Milos, Robert J Arceci, John F Thompson and 1 more

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in BMC biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 171 papers.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed
10.2field-weighted citation impact, top 2% 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

171 citing papers in PubMed, 295 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Downregulation of lncRNAOncology reports · 2022
    Article

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

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Philipp KapranovHelicos BioSciences Corporation, One Kendall Square, Building 700, Cambridge, MA 02139, USA. philippk08@gmail.com
Georges St Laurent
Tal Raz
Fatih Ozsolak
C Patrick Reynolds
Poul H B Sorensen
Gregory Reaman
Patrice Milos
Robert J Arceci
John F Thompson
Timothy J Triche
Helicos Biosciences (United States) · USChildren's National · USSidney Kimmel Comprehensive Cancer Center · USTexas Tech University · USUniversidad de Antioquia · COUniversity of Southern California · US

Funding

COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
Providing the $1000 genome via improved single molecule sequencingRC2HG005598 · NHGRI · HELICOS BIOSCIENCE CORPORATION · PI THOMPSON, JOHN FENTON · 2009 to 2010
$2.9M
NCI NIH HHS U-10 CA98543NHGRI NIH HHS RC2 HG005598
6 · The paper itself

Abstract

backgroundDiscovery that the transcriptional output of the human genome is far more complex than predicted by the current set of protein-coding annotations and that most RNAs produced do not appear to encode proteins has transformed our understanding of genome complexity and suggests new paradigms of genome regulation. However, the fraction of all cellular RNA whose function we do not understand and the fraction of the genome that is utilized to produce that RNA remain controversial. This is not simply a bookkeeping issue because the degree to which this un-annotated transcription is present has important implications with respect to its biologic function and to the general architecture of genome regulation. For example, efforts to elucidate how non-coding RNAs (ncRNAs) regulate genome function will be compromised if that class of RNAs is dismissed as simply 'transcriptional noise'.

resultsWe show that the relative mass of RNA whose function and/or structure we do not understand (the so called 'dark matter' RNAs), as a proportion of all non-ribosomal, non-mitochondrial human RNA (mt-RNA), can be greater than that of protein-encoding transcripts. This observation is obscured in studies that focus only on polyA-selected RNA, a method that enriches for protein coding RNAs and at the same time discards the vast majority of RNA prior to analysis. We further show the presence of a large number of very long, abundantly-transcribed regions (100's of kb) in intergenic space and further show that expression of these regions is associated with neoplastic transformation. These overlap some regions found previously in normal human embryonic tissues and raises an interesting hypothesis as to the function of these ncRNAs in both early development and neoplastic transformation.

conclusionsWe conclude that 'dark matter' RNA can constitute the majority of non-ribosomal, non-mitochondrial-RNA and a significant fraction arises from numerous very long, intergenic transcribed regions that could be involved in neoplastic transformation.

Indexed as

Genome, HumanAdolescentAnimalsBone NeoplasmsBrainDrosophilaGenome, InsectHumansK562 CellsKnowledge BasesLiverMolecular Sequence AnnotationNeoplasm MetastasisRNARNA, MitochondrialRNA, NuclearRNARNA, MitochondrialRNA, NuclearRNA, Ribosomal

Identifiers

PMID21176148
PMCPMC3022773
OpenAlexW2106948237

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.