Evidence map›Paper›PMID 22955982›Full record

ArticleGenome research2012

Combining RT-PCR-seq and RNA-seq to catalog all genic elements encoded in the human genome.

Cédric Howald, Andrea Tanzer, Jacqueline Chrast, Felix Kokocinski, Thomas Derrien, Nathalie Walters, Jose M Gonzalez, Adam Frankish, Bronwen L Aken, Thibaut Hourlier and 7 more

Abstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Non-coding antisense transcripts: fine regulation of gene expression in cancer.Computational and structural biotechnology journal · 2022
    Review
  6. Article
  7. GENCODE 2021.Nucleic acids research · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Creating reference gene annotation for the mouse C57BL6/J genome assembly.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  17. Systematic transcriptome analysis reveals tumor-specific isoforms for ovarian cancer diagnosis and therapy.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  18. Article
  19. Article
  20. Review
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

17 authors.

Cédric HowaldCenter for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.
Andrea Tanzer
Jacqueline Chrast
Felix Kokocinski
Thomas Derrien
Nathalie Walters
Jose M Gonzalez
Adam Frankish
Bronwen L Aken
Thibaut Hourlier
Jan-Hinnerk Vogel
Simon White
Stephen Searle
Jennifer Harrow
Tim J Hubbard
Roderic Guigó
Alexandre Reymond

Funding

Comprehensive Characterization and Classification of the Human TranscriptomeU54HG004557 · NHGRI · COLD SPRING HARBOR LABORATORY · PI GINGERAS, THOMAS RAYMOND · 2007 to 2011
$14.5M
Integrated human genome annotation: generation of a reference gene setU54HG004555 · NHGRI · SANGER INSTITUTE · PI HUBBARD, TIMOTHY JOHN · 2007 to 2012
$11.2M
NHGRI NIH HHS U54 HG004555NHGRI NIH HHS U54 HG004557Wellcome Trust 095908Wellcome Trust WT077198/Z/05/Z
6 · The paper itself

Abstract

Within the ENCODE Consortium, GENCODE aimed to accurately annotate all protein-coding genes, pseudogenes, and noncoding transcribed loci in the human genome through manual curation and computational methods. Annotated transcript structures were assessed, and less well-supported loci were systematically, experimentally validated. Predicted exon-exon junctions were evaluated by RT-PCR amplification followed by highly multiplexed sequencing readout, a method we called RT-PCR-seq. Seventy-nine percent of all assessed junctions are confirmed by this evaluation procedure, demonstrating the high quality of the GENCODE gene set. RT-PCR-seq was also efficient to screen gene models predicted using the Human Body Map (HBM) RNA-seq data. We validated 73% of these predictions, thus confirming 1168 novel genes, mostly noncoding, which will further complement the GENCODE annotation. Our novel experimental validation pipeline is extremely sensitive, far more than unbiased transcriptome profiling through RNA sequencing, which is becoming the norm. For example, exon-exon junctions unique to GENCODE annotated transcripts are five times more likely to be corroborated with our targeted approach than with extensive large human transcriptome profiling. Data sets such as the HBM and ENCODE RNA-seq data fail sampling of low-expressed transcripts. Our RT-PCR-seq targeted approach also has the advantage of identifying novel exons of known genes, as we discovered unannotated exons in ~11% of assessed introns. We thus estimate that at least 18% of known loci have yet-unannotated exons. Our work demonstrates that the cataloging of all of the genic elements encoded in the human genome will necessitate a coordinated effort between unbiased and targeted approaches, like RNA-seq and RT-PCR-seq.

Indexed as

Genome, HumanTranscriptomeComputational BiologyExonsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansIntronsMolecular Sequence AnnotationOpen Reading FramesReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA IsoformsRNA, MessengerSensitivity and SpecificityRNA IsoformsRNA, Messenger

Identifiers

PMID22955982
PMCPMC3431487

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.