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dc.contributor.authorRothenberg, Daniel Abram
dc.contributor.authorTaliaferro, Jefferson Matthew
dc.contributor.authorHuber, Sabrina M
dc.contributor.authorDedon, Peter C
dc.contributor.authorWhite, Forest M.
dc.date.accessioned2020-07-31T13:28:44Z
dc.date.available2020-07-31T13:28:44Z
dc.date.issued2018-11
dc.identifier.issn2589-0042
dc.identifier.urihttps://hdl.handle.net/1721.1/126460
dc.description.abstractTo 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 min. Comparison of protein synthesis with mRNA sequencing and ribosome footprinting distinguished protein synthesis driven by increased transcription versus increased translational efficiency. Temporal delays between ribosome occupancy and protein synthesis were observed and found to correlate with altered codon usage in significantly delayed proteins.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.ISCI.2018.11.004en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceElsevieren_US
dc.titleA Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growthen_US
dc.typeArticleen_US
dc.identifier.citationRothenberg, Daniel A. et al. “A Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growth.” iScience, vol. 9, 2018, pp. 367-381 © 2018 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journaliScienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-03-05T17:08:05Z
dspace.date.submission2020-03-05T17:08:07Z
mit.journal.volume9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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