The Origins of Organellar Mapping by Protein Correlation Profiling

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The Origins of Organellar Mapping by Protein Correlation Profiling. / Mann, Matthias.

In: Proteomics, Vol. 20, No. 23, e1900330, 2020.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Mann, M 2020, 'The Origins of Organellar Mapping by Protein Correlation Profiling', Proteomics, vol. 20, no. 23, e1900330. https://doi.org/10.1002/pmic.201900330

APA

Mann, M. (2020). The Origins of Organellar Mapping by Protein Correlation Profiling. Proteomics, 20(23), [e1900330]. https://doi.org/10.1002/pmic.201900330

Vancouver

Mann M. The Origins of Organellar Mapping by Protein Correlation Profiling. Proteomics. 2020;20(23). e1900330. https://doi.org/10.1002/pmic.201900330

Author

Mann, Matthias. / The Origins of Organellar Mapping by Protein Correlation Profiling. In: Proteomics. 2020 ; Vol. 20, No. 23.

Bibtex

@article{4bcb505804824d16bbf0bcc40cb7f61f,
title = "The Origins of Organellar Mapping by Protein Correlation Profiling",
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.",
author = "Matthias Mann",
note = "Special Issue: Spatial Omics",
year = "2020",
doi = "10.1002/pmic.201900330",
language = "English",
volume = "20",
journal = "Proteomics",
issn = "1615-9853",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "23",

}

RIS

TY - JOUR

T1 - The Origins of Organellar Mapping by Protein Correlation Profiling

AU - Mann, Matthias

N1 - Special Issue: Spatial Omics

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

U2 - 10.1002/pmic.201900330

DO - 10.1002/pmic.201900330

M3 - Journal article

C2 - 32744740

VL - 20

JO - Proteomics

JF - Proteomics

SN - 1615-9853

IS - 23

M1 - e1900330

ER -

ID: 248762525