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SubCellBarCode : Proteome-wide Mapping of Protein Localization and Relocalization
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- Orre, Lukas Minus (author)
- Karolinska Institutet
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- Vesterlund, Mattias (author)
- Karolinska Institutet
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- Pan, Yanbo (author)
- Karolinska Institutet
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- Arslan, Taner (author)
- Karolinska Institutet
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- Zhu, Yafeng (author)
- Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory
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- Fernandez Woodbridge, Alejandro (author)
- Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory
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- Frings, Oliver (author)
- Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory
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- Fredlund, Erik (author)
- Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory
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- Lehtiö, Janne (author)
- Karolinska Institutet
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(creator_code:org_t)
- Elsevier BV, 2019
- 2019
- English.
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In: Molecular Cell. - : Elsevier BV. - 1097-2765 .- 1097-4164. ; 73:1, s. 166-182.e7
- Related links:
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https://doi.org/10.1...
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http://www.cell.com/...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)
Keyword
- Biotechnology
- Bioteknologi
Publication and Content Type
- ref (subject category)
- art (subject category)
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