Evidence map›Paper›PMID 21088908›Full record

ArticleMolecular biology reports2011

Systematic analysis of gene expression level with tissue-specificity, function and protein subcellular localization in human transcriptome.

Qiang Li, Xianghua Liu, Quanyuan He, Lei Hu, Yichen Ling, Yanhua Wu, Xianmei Yang, Long Yu

Abstract read
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In one paragraph

Article in Molecular biology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 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

8 authors at 4 institutions in 1 country.

Qiang LiState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, 220 Handan Road, Shanghai, 200433, People's Republic of China. lq054@hotmail.com
Xianghua Liu
Quanyuan He
Lei Hu
Yichen Ling
Yanhua Wu
Xianmei Yang
Long Yu
Fudan University · CNState Key Laboratory of Genetic EngineeringHunan Normal University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that, in mammals, the highly expressed genes have shorter gene length and their protein products have relatively lower evolutionary rates. However, the global relationship between genes' expression level and their features such as tissue-specificity, function and protein subcellular localization has not been investigated extensively, especially in mammalian. In order to solve it, we analysed 8,570 genes across 46 human tissues. Our results suggest that widely expressed genes have higher mean expression levels than tissue-specific ones and genes encoding zinc-finger proteins have low expression levels similar to that of DNA-binding proteins. In the analysis of protein subcellular localization, it is shown that nuclear and Golgi apparatus proteins have lower mean expression levels than those of mitochondria, endoplasmic reticulum and membrane proteins, while genes encoding cytoplasm and extracellular components display the highest expression levels. When comparing the gene expression levels and the number of expressed genes in different tissues, we found that some tissues have less active genes while single gene encodes relatively more transcripts. Taken together, gene expression levels are clearly correlated with their tissue-specificity, function and protein subcellular localization, and are highly conserved during evolution.

Indexed as

Evolution, MolecularGene ExpressionCell MembraneCytoplasmExtracellular MatrixGene Expression ProfilingGenesHumansOrganellesOrgan SpecificityProteinsProteins

Identifiers

PMID21088908
OpenAlexW2063149544

What OpenQuestion holds

Textmetadata
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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.