kth.sePublications
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
SubCellBarCode: Proteome-wide Mapping of Protein Localization and Relocalization
Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory.
Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory.ORCID iD: 0000-0001-9471-6592
Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory.
Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory.
Show others and affiliations
2019 (English)In: Molecular Cell, ISSN 1097-2765, E-ISSN 1097-4164, Vol. 73, no 1, p. 166-182.e7Article in journal (Refereed) Published
Abstract [en]

Subcellular localization is a main determinant of protein function; however, a global view of cellular proteome organization remains relatively unexplored. We have developed a robust mass spectrometry-based analysis pipeline to generate a proteome-wide view of subcellular localization for proteins mapping to 12,418 individual genes across five cell lines. Based on more than 83,000 unique classifications and correlation profiling, we investigate the effect of alternative splicing and protein domains on localization, complex member co-localization, cell-type-specific localization, as well as protein relocalization after growth factor inhibition. Our analysis provides information about the cellular architecture and complexity of the spatial organization of the proteome; we show that the majority of proteins have a single main subcellular location, that alternative splicing rarely affects subcellular location, and that cell types are best distinguished by expression of proteins exposed to the surrounding environment. The resource is freely accessible via www.subcellbarcode.org.

Place, publisher, year, edition, pages
Elsevier BV , 2019. Vol. 73, no 1, p. 166-182.e7
National Category
Medical and Health Sciences Medical Biotechnology Bioinformatics (Computational Biology)
Research subject
Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-339991DOI: 10.1016/j.molcel.2018.11.035ISI: 000454896400017PubMedID: 30609389Scopus ID: 2-s2.0-85058410092OAI: oai:DiVA.org:kth-339991DiVA, id: diva2:1814376
Funder
Swedish Foundation for Strategic ResearchSwedish Cancer SocietySwedish Research CouncilSwedish Childhood Cancer FoundationAstraZenecaScience for Life Laboratory, SciLifeLab
Note

QC 20231127

Available from: 2023-11-24 Created: 2023-11-24 Last updated: 2024-08-29Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Vesterlund, Mattias

Search in DiVA

By author/editor
Vesterlund, Mattias
In the same journal
Molecular Cell
Medical and Health SciencesMedical BiotechnologyBioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 33 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