Evidence map›Paper›PMID 33928243›Full record

ArticleNAR genomics and bioinformatics2021

CladeOScope: functional interactions through the prism of clade-wise co-evolution.

Tomer Tsaban, Doron Stupp, Dana Sherill-Rofe, Idit Bloch, Elad Sharon, Ora Schueler-Furman, Reuven Wiener, Yuval Tabach

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. CladeOScope-GSA: Revealing Evolutionary Associations Across Gene Sets.International journal of molecular sciences · 2026
    Article
  3. Article
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  6. C11orf54 catalyzes L-xylulose formation in human metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  11. RPL26/uL24 UFMylation is essential for ribosome-associated quality control at the endoplasmic reticulum.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. 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
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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

8 authors at 1 institution in 1 country.

Tomer TsabanDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0002-5251-0817
Doron StuppDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0002-1556-666X
Dana Sherill-RofeDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0002-6291-3484
Idit BlochDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0001-9669-8367
Elad SharonDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0002-2512-3539
Ora Schueler-FurmanDepartment of Microbiology and Molecular Genetics, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0002-1624-0362
Reuven WienerDepartment of Biochemistry and Molecular Biology, Institute for Medical Research Israel-Canada and Hadassah Medical School,The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0002-4219-550X
Yuval TabachDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada and Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID https://orcid.org/0000-0001-9521-3217
Hebrew University of Jerusalem · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping co-evolved genes via phylogenetic profiling (PP) is a powerful approach to uncover functional interactions between genes and to associate them with pathways. Despite many successful endeavors, the understanding of co-evolutionary signals in eukaryotes remains partial. Our hypothesis is that 'Clades', branches of the tree of life (e.g. primates and mammals), encompass signals that cannot be detected by PP using all eukaryotes. As such, integrating information from different clades should reveal local co-evolution signals and improve function prediction. Accordingly, we analyzed 1028 genomes in 66 clades and demonstrated that the co-evolutionary signal was scattered across clades. We showed that functionally related genes are frequently co-evolved in only parts of the eukaryotic tree and that clades are complementary in detecting functional interactions within pathways. We examined the non-homologous end joining pathway and the UFM1 ubiquitin-like protein pathway and showed that both demonstrated distinguished co-evolution patterns in specific clades. Our research offers a different way to look at co-evolution across eukaryotes and points to the importance of modular co-evolution analysis. We developed the 'CladeOScope' PP method to integrate information from 16 clades across over 1000 eukaryotic genomes and is accessible via an easy to use web server at http://cladeoscope.cs.huji.ac.il.

Identifiers

PMID33928243
PMCPMC8057497
OpenAlexW3153107373

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.