<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rothenberg DA</submitter><funding>Swiss National Science Foundation</funding><funding>NIEHS NIH HHS</funding><funding>NCI NIH HHS</funding><funding>NIH</funding><funding>National Research Foundation of Singapore</funding><funding>MIT Center for Precision Cancer Medicine</funding><pagination>367-381</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6249402</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9</volume><pubmed_abstract>To quantify dynamic protein synthesis rates, we developed MITNCAT, a method combining multiplexed isobaric mass tagging with pulsed SILAC (pSILAC) and bio-orthogonal non-canonical amino acid tagging (BONCAT) to label newly synthesized proteins with azidohomoalanine (Aha), thus enabling high temporal resolution across multiple conditions in a single analysis. MITNCAT quantification of protein synthesis rates following induction of the unfolded protein response revealed global down-regulation of protein synthesis, with stronger down-regulation of glycolytic and protein synthesis machinery proteins, but up-regulation of several key chaperones. Waves of temporally distinct protein synthesis were observed in response to epidermal growth factor, with altered synthesis detectable in the first 15 </pubmed_abstract><journal>iScience</journal><pubmed_title>A Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growth.</pubmed_title><pmcid>PMC6249402</pmcid><funding_grant_id>CA014051</funding_grant_id><funding_grant_id>ES024615</funding_grant_id><funding_grant_id>CA096504</funding_grant_id><funding_grant_id>P01 CA026731</funding_grant_id><funding_grant_id>P30 ES002109</funding_grant_id><funding_grant_id>CA210180</funding_grant_id><funding_grant_id>ES026856</funding_grant_id><funding_grant_id>ES002109</funding_grant_id><funding_grant_id>U54 CA210180</funding_grant_id><funding_grant_id>P30 CA014051</funding_grant_id><funding_grant_id>P2SKP3_174681</funding_grant_id><funding_grant_id>CA026731</funding_grant_id><funding_grant_id>R01 CA096504</funding_grant_id><funding_grant_id>R01 ES026856</funding_grant_id><funding_grant_id>174681</funding_grant_id><funding_grant_id>P42 ES027707</funding_grant_id><funding_grant_id>R01 ES024615</funding_grant_id><pubmed_authors>White FM</pubmed_authors><pubmed_authors>Rothenberg DA</pubmed_authors><pubmed_authors>Huber SM</pubmed_authors><pubmed_authors>Begley TJ</pubmed_authors><pubmed_authors>Dedon PC</pubmed_authors><pubmed_authors>Taliaferro JM</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growth.</name><description>To quantify dynamic protein synthesis rates, we developed MITNCAT, a method combining multiplexed isobaric mass tagging with pulsed SILAC (pSILAC) and bio-orthogonal non-canonical amino acid tagging (BONCAT) to label newly synthesized proteins with azidohomoalanine (Aha), thus enabling high temporal resolution across multiple conditions in a single analysis. MITNCAT quantification of protein synthesis rates following induction of the unfolded protein response revealed global down-regulation of protein synthesis, with stronger down-regulation of glycolytic and protein synthesis machinery proteins, but up-regulation of several key chaperones. Waves of temporally distinct protein synthesis were observed in response to epidermal growth factor, with altered synthesis detectable in the first 15 </description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Nov</publication><modification>2025-04-05T12:59:46.586Z</modification><creation>2019-03-27T00:10:00Z</creation></dates><accession>S-EPMC6249402</accession><cross_references><pubmed>30466063</pubmed><doi>10.1016/j.isci.2018.11.004</doi></cross_references></HashMap>