Evidence map›Paper›PMID 26436655›Full record

ArticlePLoS computational biology2015

Genome-Wide Detection and Analysis of Multifunctional Genes.

Yuri Pritykin, Dario Ghersi, Mona Singh

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Review
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  7. Review
  8. Cooperation loci are more pleiotropic than private loci in the bacteriumProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. The Effect of Locomotion Mode on Body Shape Evolution in Teleost Fishes.Integrative organismal biology (Oxford, England) · 2021
    Article
  11. Multiple Forms of Multifunctional Proteins in Health and Disease.Frontiers in cell and developmental biology · 2020
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

3 authors.

Yuri PritykinDepartment of Computer Science, Princeton University, Princeton, New Jersey, United States of America; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Dario GhersiLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America; School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, Nebraska, United States of America.
Mona SinghDepartment of Computer Science, Princeton University, Princeton, New Jersey, United States of America; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.

Funding

Predicting and analyzing variation in cellular interactomesR01GM076275 · NIGMS · PRINCETON UNIVERSITY · PI SINGH, MONA · 2006 to 2022
$4.0M
NIGMS NIH HHS NIH GM076275NIGMS NIH HHS R01 GM076275
6 · The paper itself

Abstract

Many genes can play a role in multiple biological processes or molecular functions. Identifying multifunctional genes at the genome-wide level and studying their properties can shed light upon the complexity of molecular events that underpin cellular functioning, thereby leading to a better understanding of the functional landscape of the cell. However, to date, genome-wide analysis of multifunctional genes (and the proteins they encode) has been limited. Here we introduce a computational approach that uses known functional annotations to extract genes playing a role in at least two distinct biological processes. We leverage functional genomics data sets for three organisms--H. sapiens, D. melanogaster, and S. cerevisiae--and show that, as compared to other annotated genes, genes involved in multiple biological processes possess distinct physicochemical properties, are more broadly expressed, tend to be more central in protein interaction networks, tend to be more evolutionarily conserved, and are more likely to be essential. We also find that multifunctional genes are significantly more likely to be involved in human disorders. These same features also hold when multifunctionality is defined with respect to molecular functions instead of biological processes. Our analysis uncovers key features about multifunctional genes, and is a step towards a better genome-wide understanding of gene multifunctionality.

Indexed as

Natural Language ProcessingAnimalsChromosome MappingData MiningDrosophila melanogasterDrosophila ProteinsGenomeGenome-Wide Association StudyHumansMultigene FamilyProteomeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSpecies SpecificityDrosophila ProteinsProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID26436655
PMCPMC4593560

What OpenQuestion holds

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Registered trials

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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.