Evidence map›Paper›PMID 36083897›Full record

ArticleScience advances2022

Proteotype coevolution and quantitative diversity across 11 mammalian species.

Qian Ba, Yuanyuan Hei, Anasuya Dighe, Wenxue Li, Jamie Maziarz, Irene Pak, Shisheng Wang, Günter P Wagner, Yansheng Liu

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  3. Immiscible proteins compete for RNA binding to order condensate layers.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. Decoupling of evolutionary changes in mRNA and protein levels.bioRxiv : the preprint server for biology · 2023
    Article
  17. 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

9 authors at 4 institutions in 2 countries.

Qian BaYale Cancer Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-7253-7566
Yuanyuan HeiYale Cancer Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-6269-4509
Anasuya DigheYale Systems Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-0444-5969
Wenxue LiYale Cancer Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-8902-0184
Jamie MaziarzYale Systems Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-7137-7804
Irene PakYale Systems Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-2925-2039
Shisheng WangWest China-Washington Mitochondria and Metabolism Research Center, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0001-5812-3941
Günter P WagnerYale Systems Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-3097-002X
Yansheng LiuYale Cancer Biology Institute, West Haven, CT 06516, USA.ORCID 0000-0002-2626-3912
Yale Cancer Center · USYale University · USSichuan University · CNWayne State University · US

Funding

Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Kurt A Schalper · 2015 to 2026
$31.1M
Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
Understanding proteome remodeling in aneuploidyR01GM137031 · NIGMS · YALE UNIVERSITY · PI LIU, YANSHENG · 2020 to 2024
$2.0M
NCI NIH HHS P50 CA196530NCI NIH HHS U54 CA209992NIGMS NIH HHS R01 GM137031
6 · The paper itself

Abstract

Evolutionary profiling has been largely limited to the nucleotide level. Using consistent proteomic methods, we quantified proteomic and phosphoproteomic layers in fibroblasts from 11 common mammalian species, with transcriptomes as reference. Covariation analysis indicates that transcript and protein expression levels and variabilities across mammals remarkably follow functional role, with extracellular matrix-associated expression being the most variable, demonstrating strong transcriptome-proteome coevolution. The biological variability of gene expression is universal at both interindividual and interspecies scales but to a different extent. RNA metabolic processes particularly show higher interspecies versus interindividual variation. Our results further indicate that while the ubiquitin-proteasome system is strongly conserved in mammals, lysosome-mediated protein degradation exhibits remarkable variation between mammalian lineages. In addition, the phosphosite profiles reveal a phosphorylation coevolution network independent of protein abundance.

Indexed as

MammalsProteomicsAnimalsBiological EvolutionGene Expression ProfilingProteomeTranscriptomeProteome

Identifiers

PMID36083897
PMCPMC9462687
OpenAlexW4295066904

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.