Evidence map›Paper›PMID 27135799›Full record

ReviewCell systems2015

Phylogenetic Profiling for Probing the Modular Architecture of the Human Genome.

Gautam Dey, Tobias Meyer

Abstract readReview
In one paragraph

Review in Cell systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. CladeOScope-GSA: Revealing Evolutionary Associations Across Gene Sets.International journal of molecular sciences · 2026
    Article
  2. Evolutionary cell biology comes of age.Journal of cell science · 2025
    Article
  3. Review
  4. Review
  5. Article
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  7. Identification of hidden associations among eukaryotic genes through statistical analysis of coevolutionary transitions.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
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  11. Article
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  16. Article
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

2 authors.

Gautam DeyChemical and Systems Biology, Stanford University, Stanford CA 94305, USA. Electronic address: g.dey@ucl.ac.uk.
Tobias MeyerChemical and Systems Biology, Stanford University, Stanford CA 94305, USA. Electronic address: tobias1@stanford.edu.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI FERRELL, JAMES E. · 2013 to 2017
$10.9M
Chemotactic Signal TransductionR01GM063702 · NIGMS · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 2002 to 2017
$5.3M
REGULATION OF CA++/CALMODULIN KINASE BY NEUROTRANSMITTERR01GM030179 · NIGMS · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 1985 to 2018
$4.9M
NIGMS NIH HHS P50 GM107615NIGMS NIH HHS R01 GM030179NIGMS NIH HHS R01 GM063702
6 · The paper itself

Abstract

Information about functional connections between genes can be derived from patterns of coupled loss of their homologs across multiple species. This comparative approach, termed phylogenetic profiling, has been successfully used to infer genetic interactions in bacteria and eukaryotes. Rapid progress in sequencing eukaryotic species has enabled the recent phylogenetic profiling of the human genome, resulting in systematic functional predictions for uncharacterized human genes. Importantly, groups of co-evolving genes reveal widespread modularity in the underlying genetic network, facilitating experimental analyses in human cells as well as comparative studies of conserved functional modules across species. This strategy is particularly successful in identifying novel metabolic proteins and components of multi-protein complexes. The targeted sequencing of additional key eukaryotes and the incorporation of improved methods to generate and compare phylogenetic profiles will further boost the predictive power and utility of this evolutionary approach to the functional analysis of gene interaction networks.

Identifiers

PMID27135799
PMCPMC6436090

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.