Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Global variability analysis of mRNA and protein concentrations across and within human tissues
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy.ORCID iD: 0000-0002-2810-7518
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy.ORCID iD: 0000-0002-4502-8184
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy. Uppsala University, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-3708-7395
2020 (English)In: NAR genomics and bioinformatics, ISSN 2631-9268, Vol. 2, no 1, article id lqz010Article in journal (Refereed) Epub ahead of print
Abstract [en]

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.

Place, publisher, year, edition, pages
2020. Vol. 2, no 1, article id lqz010
Keywords [en]
Gini index, human liver, human intestine, protein variability
National Category
Pharmaceutical Sciences
Research subject
Pharmaceutical Science
Identifiers
URN: urn:nbn:se:uu:diva-396193DOI: 10.1093/nargab/lqz010OAI: oai:DiVA.org:uu-396193DiVA, id: diva2:1366810
Funder
Swedish Research Council, 5715Available from: 2019-10-30 Created: 2019-10-30 Last updated: 2019-10-31Bibliographically approved

Open Access in DiVA

fulltext(3574 kB)31 downloads
File information
File name FULLTEXT01.pdfFile size 3574 kBChecksum SHA-512
7ce0aae12a0a47104c61e918b7efed2f118283b50689d02000adcb7ae3345e51c36c9aa1b460c8c2bb4b3c3d167ae6c28c17bab034c4593b433ffe5067bdce13
Type fulltextMimetype application/pdf

Other links

Publisher's full texthttps://doi.org/10.1093/nargab/lqz010

Search in DiVA

By author/editor
Wegler, ChristineÖlander, MagnusLundquist, PatrikArtursson, Per
By organisation
Department of PharmacyScience for Life Laboratory, SciLifeLab
Pharmaceutical Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 31 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 78 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf