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  High-throughput phosphoproteomics reveals in vivo insulin signaling dynamics

Humphrey, S. J., Azimifar, S. B., & Mann, M. (2015). High-throughput phosphoproteomics reveals in vivo insulin signaling dynamics. NATURE BIOTECHNOLOGY, 33(9), 990-995. doi:10.1038/nbt.3327.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-95A9-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-95AA-E
Genre: Journal Article

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 Creators:
Humphrey, Sean J.1, Author              
Azimifar, S. Babak1, Author              
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: LARGE-SCALE ANALYSIS; PHOSPHORYLATION DYNAMICS; PROTEIN-PHOSPHORYLATION; MASS-SPECTROMETRY; MOUSE-LIVER; KINASE; QUANTIFICATION; ACTIVATION; AKT/PKB; TISSUES
 Abstract: Mass spectrometry has enabled the study of cellular signaling on a systems-wide scale, through the quantification of post-translational modifications, such as protein phosphorylation(1). Here we describe EasyPhos, a scalable phosphoproteomics platform that now allows rapid quantification of hundreds of phosphoproteomes in diverse cells and tissues at a depth of >10,000 sites. We apply this technology to generate time-resolved maps of insulin signaling in the mouse liver. Our results reveal that insulin affects similar to 10% of the liver phosphoproteome and that many known functional phosphorylation sites, and an even larger number of unknown sites, are modified at very early time points (<15 s after insulin delivery). Our kinetic data suggest that the flow of signaling information from the cell surface to the nucleus can occur on very rapid timescales of less than 1 min in vivo. EasyPhos facilitates high-throughput phosphoproteomics studies, which should improve our understanding of dynamic cell signaling networks and how they are regulated and dysregulated in disease.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Published in print
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: ISI: 000360990900028
DOI: 10.1038/nbt.3327
 Degree: -

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Title: NATURE BIOTECHNOLOGY
Source Genre: Journal
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Publ. Info: 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 33 (9) Sequence Number: - Start / End Page: 990 - 995 Identifier: ISSN: 1087-0156