Evidence map›Paper›PMID 27250503›Full record

ArticleNature communications2016

Improving GENCODE reference gene annotation using a high-stringency proteogenomics workflow.

James C Wright, Jonathan Mudge, Hendrik Weisser, Mitra P Barzine, Jose M Gonzalez, Alvis Brazma, Jyoti S Choudhary, Jennifer Harrow

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. LncRNA Recognition-Associated CpG Island Detection and Methylation Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Computational Methods for Pseudogene Annotation Based on Sequence Homology.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  15. The Pharmacological Activity of the Wenjing Decoction in Recurrent Spontaneous Abortion.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Progress, Challenges, and Surprises in Annotating the Human Genome.Annual review of genomics and human genetics · 2020
    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

8 authors.

James C WrightWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.ORCID http://orcid.org/0000-0001-6950-4328
Jonathan MudgeWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Hendrik WeisserWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Mitra P BarzineEuropean Bioinformatics Institute, EMBL, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.ORCID http://orcid.org/0000-0002-0860-9510
Jose M GonzalezWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Alvis BrazmaEuropean Bioinformatics Institute, EMBL, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Jyoti S ChoudharyWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Jennifer HarrowWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
NHGRI NIH HHS U41 HG007234Wellcome Trust
6 · The paper itself

Abstract

Complete annotation of the human genome is indispensable for medical research. The GENCODE consortium strives to provide this, augmenting computational and experimental evidence with manual annotation. The rapidly developing field of proteogenomics provides evidence for the translation of genes into proteins and can be used to discover and refine gene models. However, for both the proteomics and annotation groups, there is a lack of guidelines for integrating this data. Here we report a stringent workflow for the interpretation of proteogenomic data that could be used by the annotation community to interpret novel proteogenomic evidence. Based on reprocessing of three large-scale publicly available human data sets, we show that a conservative approach, using stringent filtering is required to generate valid identifications. Evidence has been found supporting 16 novel protein-coding genes being added to GENCODE. Despite this many peptide identifications in pseudogenes cannot be annotated due to the absence of orthogonal supporting evidence.

Indexed as

Genome, HumanPseudogenesAmino Acid SequenceGene Expression RegulationGene OntologyHumansMolecular Sequence AnnotationOpen Reading FramesProteinsProteogenomicsProteins

Identifiers

PMID27250503
PMCPMC4895710

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.