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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.

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Cdc2-like Kinase 2 is an Insulin Regulated Suppressor of Hepatic Gluconeogenesis

TL;DR: It is shown that Cdc2-like kinase 2 (Clk2) is an insulin-regulated suppressor of hepatic gluconeogenesis and glucose output and downregulated in db/db mice, and reintroduction of Clk2 largely corrects glycemia.
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Selenoprotein K Binds Multiprotein Complexes and Is Involved in the Regulation of Endoplasmic Reticulum Homeostasis

TL;DR: Data suggest that SelK is involved in the Derlin-dependent ERAD of glycosylated misfolded proteins and that the function defined by the prototypic SelK are the widespread function of selenium in eukaryotes.
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Lysine 63-linked polyubiquitination is required for EGF receptor degradation

TL;DR: Mass spectrometry-based targeted proteomics is used to show that activated epidermal growth factor receptor (EGFR) is ubiquitinated by one to two short polyubiquitin chains mainly linked via lysine 63 (K63) or conjugated with a single monoubiquit in.
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Identification of Human MVB12 Proteins as ESCRT-I Subunits that Function in HIV Budding

TL;DR: It is demonstrated that two related human proteins (MVB12A and MVB12B) constitute the fourth class of metazoan ESCRT-I subunits, despite lacking identifiable sequence homology to Mvb12p, and indicate that the MVB 12 subunits play a unique role in regulating ESC RT-mediated virus budding.
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Proteome-Wide Evaluation of Two Common Protein Quantification Methods.

TL;DR: Test the ability of two common methods, a tandem mass tagging (TMT) method and a label-free quantitation method (LFQ), to achieve comprehensive quantitative coverage by benchmarking their capacity to measure 3 different levels of change across an entire data set.