scispace - formally typeset
S

Steven P. Gygi

Researcher at Harvard University

Publications -  778
Citations -  147003

Steven P. Gygi is an academic researcher from Harvard University. The author has contributed to research in topics: Proteome & Phosphorylation. The author has an hindex of 172, co-authored 704 publications receiving 129173 citations. Previous affiliations of Steven P. Gygi include University of Rochester Medical Center & Cell Signaling Technology.

Papers
More filters
Journal ArticleDOI

Sample multiplexing for targeted pathway proteomics in aging mice

TL;DR: Tissue-specific aging effects are presented and the role of inflammation- and metabolism-related processes in white adipose tissue is highlighted and Tomahto’s ease of use, sensitivity, and accuracy are highlighted.
Journal ArticleDOI

Automethylation-induced conformational switch in Clr4 (Suv39h) maintains epigenetic stability.

TL;DR: An autoinhibitory conformation in the conserved H3K9 methyltransferase Clr4 of the fission yeast Schizosaccharomyces pombe helps to prevent aberrant heterochromatin formation and maintains epigenetic stability.
Journal ArticleDOI

Proteomic insights into ubiquitin and ubiquitin-like proteins

TL;DR: A review of recent proteomic works targeting the dynamic and specific modification of cellular proteins by members of the ubiquitin protein family and their mechanisms of substrate specificity and enzymatic activity.
Journal ArticleDOI

A comparison of phenobarbital and codeine incorporation into pigmented and nonpigmented rat hair

TL;DR: The incorporation of a weak acid, phenobarbital, and a weak base, codeine, into Sprague-Dawley rat hair is examined to suggest that hair pigmentation greatly affects weak base incorporation but not weak acid incorporation into hair.
Journal ArticleDOI

Gas-phase rearrangements do not affect site localization reliability in phosphoproteomics data sets.

TL;DR: It is concluded that intramolecular phosphate transfer does not affect the reliability of current or past phosphorylation data sets, specifically for doubly charged species.