Evidence map›Paper›PMID 23519614›Full record

ArticleNucleic acids research2013

Translating mRNAs strongly correlate to proteins in a multivariate manner and their translation ratios are phenotype specific.

Tong Wang, Yizhi Cui, Jingjie Jin, Jiahui Guo, Guibin Wang, Xingfeng Yin, Qing-Yu He, Gong Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

126 citing papers in PubMed.

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  10. Proteomic Identification of Microproteins Translated from Long Non-coding RNA.Methods in molecular biology (Clifton, N.J.) · 2026
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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Tong WangKey Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China. tongwang@jnu.edu.cn
Yizhi Cui
Jingjie Jin
Jiahui Guo
Guibin Wang
Xingfeng Yin
Qing-Yu He
Gong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a well-known phenomenon, total mRNAs poorly correlate to proteins in their abundances as reported. Recent findings calculated with bivariate models suggested even poorer such correlation, whereas focusing on the translating mRNAs (ribosome nascent-chain complex-bound mRNAs, RNC-mRNAs) subset. In this study, we analysed the relative abundances of mRNAs, RNC-mRNAs and proteins on genome-wide scale, comparing human lung cancer A549 and H1299 cells with normal human bronchial epithelial (HBE) cells, respectively. As discovered, a strong correlation between RNC-mRNAs and proteins in their relative abundances could be established through a multivariate linear model by integrating the mRNA length as a key factor. The R(2) reached 0.94 and 0.97 in A549 versus HBE and H1299 versus HBE comparisons, respectively. This correlation highlighted that the mRNA length significantly contributes to the translational modulation, especially to the translational initiation, favoured by its correlation with the mRNA translation ratio (TR) as observed. We found TR is highly phenotype specific, which was substantiated by both pathway analysis and biased TRs of the splice variants of BDP1 gene, which is a key transcription factor of transfer RNAs. These findings revealed, for the first time, the intrinsic and genome-wide translation modulations at translatomic level in human cells at steady-state, which are tightly correlated to the protein abundance and functionally relevant to cellular phenotypes.

Indexed as

PhenotypeProtein BiosynthesisCell LineCell Line, TumorGene Expression Regulation, NeoplasticGenome, HumanHumansLinear ModelsMultivariate AnalysisProteinsProteomeRibosomesRNA, MessengerRNA SplicingSequence Analysis, RNATranscription Factor TFIIIBBDP1 protein, humanProteinsProteomeRNA, MessengerTranscription Factor TFIIIB

Identifiers

PMID23519614
PMCPMC3643591

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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.