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  The Origins of Organellar Mapping by Protein Correlation Profiling

Mann, M. (2020). The Origins of Organellar Mapping by Protein Correlation Profiling. Proteomics, 1900330. doi:10.1002/pmic.201900330.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-14B0-B Version Permalink: http://hdl.handle.net/21.11116/0000-0007-14B1-A
Genre: Journal Article

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pmic.201900330.pdf (Publisher version), 559KB
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© 2020 The Authors.

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 Creators:
Mann, Matthias1, Author              
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              

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Free keywords: PROTEOMICS; COMPLEX; LOCALIZATIONBiochemistry & Molecular Biology; centrosome; protein correlation profiling; proteomics; mass spectrometry;
 Abstract: Cells have a rich inner structure that is commonly explored by microscopy. Classical biochemical methods that break apart the cells and fractionate them along a gradient have now gotten a new lease on life through modern methods of mass spectrometry-based proteomics. Their common principle is to comprehensively measure all the proteins in each of the fractions. The resulting quantitative profile then associates thousands of proteins to their cellular homes. Here, the author recounts how protein correlation profiling, the first such technique, was conceived and how it was applied to answer intricate cell biological questions.

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Language(s): eng - English
 Dates: 2020-08-03
 Publication Status: Published online
 Pages: 3
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000566327100001
DOI: 10.1002/pmic.201900330
 Degree: -

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Title: Proteomics
Source Genre: Journal
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Publ. Info: Weinheim : WILEY-VCH
Pages: - Volume / Issue: - Sequence Number: 1900330 Start / End Page: - Identifier: ISSN: 1615-9853
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000294310