Unknown

Dataset Information

0

Global variability analysis of mRNA and protein concentrations across and within human tissues.


ABSTRACT: Genes and proteins show variable expression patterns throughout the human body. However, it is not clear whether relative differences in mRNA concentrations are retained on the protein level. Furthermore, inter-individual protein concentration variability within single tissue types has not been comprehensively explored. Here, we used the Gini index for in-depth concentration variability analysis of publicly available transcriptomics and proteomics data, and of an in-house proteomics dataset of human liver and jejunum from 38 donors. We found that the transfer of concentration variability from mRNA to protein is limited, that established 'reference genes' for data normalization vary markedly at the protein level, that protein concentrations cover a wide variability spectrum within single tissue types, and that concentration variability analysis can be a convenient starting point for identifying disease-associated proteins and novel biomarkers. Our results emphasize the importance of considering individual concentration levels, as opposed to population averages, for personalized systems biology analysis.

SUBMITTER: Wegler C 

PROVIDER: S-EPMC7671341 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Global variability analysis of mRNA and protein concentrations across and within human tissues.

Wegler Christine C   Ölander Magnus M   Wiśniewski Jacek R JR   Lundquist Patrik P   Zettl Katharina K   Åsberg Anders A   Hjelmesæth Jøran J   Andersson Tommy B TB   Artursson Per P  

NAR genomics and bioinformatics 20191030 1


Genes and proteins show variable expression patterns throughout the human body. However, it is not clear whether relative differences in mRNA concentrations are retained on the protein level. Furthermore, inter-individual protein concentration variability within single tissue types has not been comprehensively explored. Here, we used the Gini index for in-depth concentration variability analysis of publicly available transcriptomics and proteomics data, and of an in-house proteomics dataset of h  ...[more]

Similar Datasets

| S-EPMC7524747 | biostudies-literature
| S-EPMC9951436 | biostudies-literature
2018-10-22 | PXD010271 | Pride
| S-EPMC2909898 | biostudies-literature
| S-EPMC2824494 | biostudies-literature
| S-EPMC6957482 | biostudies-literature
| S-EPMC1876721 | biostudies-literature
| S-EPMC10165541 | biostudies-literature
| S-EPMC6379048 | biostudies-literature
| S-EPMC7467356 | biostudies-literature