Evidence map›Paper›PMID 11861898›Full record

ArticleNucleic acids research2002

A question of size: the eukaryotic proteome and the problems in defining it.

Paul M Harrison, Anuj Kumar, Ning Lang, Michael Snyder, Mark Gerstein

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 221 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Finding functional microproteins.Trends in genetics : TIG · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Computational Methods for Pseudogene Annotation Based on Sequence Homology.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  16. Article
  17. Review
  18. Aging and the clock: Perspective from flies to humans.The European journal of neuroscience · 2020
    Review
  19. Article
  20. Article

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

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

5 authors at 1 institution in 1 country.

Paul M HarrisonDepartment of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Avenue, PO Box 208114, New Haven, CT 06520-8114, USA.
Anuj Kumar
Ning Lang
Michael Snyder
Mark Gerstein
Yale University · US

Funding

Human Genome Array: Technology for Functional AnalysisP50HG002357 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2001 to 2010
$31.9M
Global Analysis of Transcription Regulatory NetworksR01CA077808 · NCI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 1997 to 2009
$6.8M
NCI NIH HHS CA77808NCI NIH HHS R01 CA077808NHGRI NIH HHS HG02357-01NHGRI NIH HHS P50 HG002357
6 · The paper itself

Abstract

We discuss the problems in defining the extent of the proteomes for completely sequenced eukaryotic organisms (i.e. the total number of protein-coding sequences), focusing on yeast, worm, fly and human. (i) Six years after completion of its genome sequence, the true size of the yeast proteome is still not defined. New small genes are still being discovered, and a large number of existing annotations are being called into question, with these questionable ORFs (qORFs) comprising up to one-fifth of the 'current' proteome. We discuss these in the context of an ideal genome-annotation strategy that considers the proteome as a rigorously defined subset of all possible coding sequences ('the orfome'). (ii) Despite the greater apparent complexity of the fly (more cells, more complex physiology, longer lifespan), the nematode worm appears to have more genes. To explain this, we compare the annotated proteomes of worm and fly, relating to both genome-annotation and genome evolution issues. (iii) The unexpectedly small size of the gene complement estimated for the complete human genome provoked much public debate about the nature of biological complexity. However, in the first instance, for the human genome, the relationship between gene number and proteome size is far from simple. We survey the current estimates for the numbers of human genes and, from this, we estimate a range for the size of the human proteome. The determination of this is substantially hampered by the unknown extent of the cohort of pseudogenes ('dead' genes), in combination with the prevalence of alternative splicing. (Further information relating to yeast is available at http://genecensus.org/yeast/orfome)

Indexed as

AnimalsDrosophila ProteinsEukaryotic CellsGenomeGenome, HumanHelminth ProteinsHumansOpen Reading FramesProteomeSaccharomyces cerevisiae ProteinsDrosophila ProteinsHelminth ProteinsProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID11861898
PMCPMC101239
OpenAlexW2019654533

What OpenQuestion holds

Textmetadata
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.