Evidence map›Paper›PMID 35776510›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2022

Tissue Specificity of Gene Expression Evolves Across Mammal Species.

Wei Jiang, Liang Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Wei JiangDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA.
Liang ChenDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-6164-4553
University of Southern California · US

Funding

The Regulation and Function of Neuron-Specific Alternative SplicingR01NS104041 · NINDS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHENG, SIKA · 2018 to 2022
$2.1M
Understanding the NMD regulatory path from genetic variation to phenotypesR01GM137428 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, LIANG · 2020 to 2023
$1.6M
NIGMS NIH HHS R01 GM137428NINDS NIH HHS R01 NS104041
6 · The paper itself

Abstract

Tissue specificity of gene expression sheds light on the tissue-selective manifestation of hereditary disease despite the same DNA across all tissues. The evolutionary path of such tissue specificity provides essential information about the tissue-specific function of genes and the validity of disease animal models. With recent improvements of the sequencing technology, more and more large-scale transcriptomics studies have been conducted among different species across multiple tissues. In this study, we exploit existing transcriptomics resources of humans, cynomolgus macaques, rats, mice, and dogs across 13 tissues. We find that although tissue specificity of homologous gene expression is largely well conserved across species, a total of 380 genes shift or are in the process of shifting their tissue specificity. The tissue-specificity-shifting genes are less conserved than those preserving their tissue specificity or housekeeping genes. Interestingly, tissue-specificity-shifting genes tend to be less conserved at the third codon positions, likely due to their relaxed synonymous codon usage bias. Moreover, compared with genes, cassette exons are more likely to shift their tissue specificity of splicing across the five species.

Indexed as

Evolution, MolecularMammalsAnimalsCodonDogsExonsGene ExpressionHumansMiceOrgan SpecificityRatsSpecies SpecificityCodonalternative splicingcodon usage biasdivergencegene expressionphylogenetic comparative analysestissue specificity

Identifiers

PMID35776510
PMCPMC9464367
OpenAlexW4283749730

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.