Evidence map›Paper›PMID 25011537›Full record

ArticleBiology direct2014

Translational selection in human: more pronounced in housekeeping genes.

Lina Ma, Peng Cui, Jiang Zhu, Zhihua Zhang, Zhang Zhang

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  9. IC4R-2.0: Rice Genome Reannotation Using Massive RNA-seq Data.Genomics, proteomics & bioinformatics · 2020
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  14. Co-adaption of tRNA gene copy number and amino acid usage influences translation rates in three life domains.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
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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

5 authors at 4 institutions in 3 countries.

Lina Ma
Peng Cui
Jiang Zhu
Zhihua Zhang
Zhang ZhangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, No,1 Beichen West Road, Chaoyang District, Beijing 100101, China. zhangzhang@big.ac.cn.
Beijing Institute of Genomics · CNChinese Academy of Sciences · CNHarvard University · USKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranslational selection is a ubiquitous and significant mechanism to regulate protein expression in prokaryotes and unicellular eukaryotes. Recent evidence has shown that translational selection is weakly operative in highly expressed genes in human and other vertebrates. However, it remains unclear whether translational selection acts differentially on human genes depending on their expression patterns.

resultsHere we report that human housekeeping (HK) genes that are strictly defined as genes that are expressed ubiquitously and consistently in most or all tissues, are under stronger translational selection.

conclusionsThese observations clearly show that translational selection is also closely associated with expression pattern. Our results suggest that human HK genes are more efficiently and/or accurately translated into proteins, which will inevitably open up a new understanding of HK genes and the regulation of gene expression. REVIEWERS: This article was reviewed by Yuan Yuan, Baylor College of Medicine; Han Liang, University of Texas MD Anderson Cancer Center (nominated by Dr Laura Landweber) Eugene Koonin, NCBI, NLM, NIH, United States of America Sandor Pongor, International Centre for Genetic Engineering and biotechnology (ICGEB), Italy.

Indexed as

Genes, EssentialCodonGene Expression RegulationHumansOrgan SpecificityProtein BiosynthesisCodon

Identifiers

PMID25011537
PMCPMC4100034
OpenAlexW2015386688

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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.