Literature DB >> 33798408

Discovering the landscape of protein modifications.

E Keith Keenan1, Derek K Zachman2, Matthew D Hirschey3.   

Abstract

Protein modifications modulate nearly every aspect of cell biology in organisms, ranging from Archaea to Eukaryotes. The earliest evidence of covalent protein modifications was found in the early 20th century by studying the amino acid composition of proteins by chemical hydrolysis. These discoveries challenged what defined a canonical amino acid. The advent and rapid adoption of mass-spectrometry-based proteomics in the latter part of the 20th century enabled a veritable explosion in the number of known protein modifications, with more than 500 discrete modifications counted today. Now, new computational tools in data science, machine learning, and artificial intelligence are poised to allow researchers to make significant progress in discovering new protein modifications and determining their function. In this review, we take an opportunity to revisit the historical discovery of key post-translational modifications, quantify the current landscape of covalent protein adducts, and assess the role that new computational tools will play in the future of this field.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  amino acid; metabolism; post-translational modifications; protein acylation; protein modifications

Mesh:

Substances:

Year:  2021        PMID: 33798408      PMCID: PMC8106652          DOI: 10.1016/j.molcel.2021.03.015

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  64 in total

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Authors:  Minjia Tan; Chao Peng; Kristin A Anderson; Peter Chhoy; Zhongyu Xie; Lunzhi Dai; Jeongsoon Park; Yue Chen; He Huang; Yi Zhang; Jennifer Ro; Gregory R Wagner; Michelle F Green; Andreas S Madsen; Jessica Schmiesing; Brett S Peterson; Guofeng Xu; Olga R Ilkayeva; Michael J Muehlbauer; Thomas Braulke; Chris Mühlhausen; Donald S Backos; Christian A Olsen; Peter J McGuire; Scott D Pletcher; David B Lombard; Matthew D Hirschey; Yingming Zhao
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2.  The enzyme activity of mitochondrial trifunctional protein is not altered by lysine acetylation or lysine succinylation.

Authors:  Yuxun Zhang; Eric Goetzman
Journal:  PLoS One       Date:  2021-10-13       Impact factor: 3.240

3.  Forkhead Box Protein P3 (FOXP3) Represses ATF3 Transcriptional Activity.

Authors:  Chiung-Min Wang; William Harry Yang; Leticia Cardoso; Ninoska Gutierrez; Richard Henry Yang; Wei-Hsiung Yang
Journal:  Int J Mol Sci       Date:  2021-10-22       Impact factor: 5.923

Review 4.  Protein Lipidation Types: Current Strategies for Enrichment and Characterization.

Authors:  Rong Wang; Yong Q Chen
Journal:  Int J Mol Sci       Date:  2022-02-21       Impact factor: 5.923

Review 5.  Proximity-Dependent Biotinylation Approaches to Explore the Dynamic Compartmentalized Proteome.

Authors:  Ugo Dionne; Anne-Claude Gingras
Journal:  Front Mol Biosci       Date:  2022-03-04

6.  Stable CDK12 Knock-Out Ovarian Cancer Cells Do Not Show Increased Sensitivity to Cisplatin and PARP Inhibitor Treatment.

Authors:  Rosaria Chilà; Michela Chiappa; Federica Guffanti; Nicolò Panini; Donatella Conconi; Andrea Rinaldi; Luciano Cascione; Francesco Bertoni; Maddalena Fratelli; Giovanna Damia
Journal:  Front Oncol       Date:  2022-07-13       Impact factor: 5.738

  6 in total

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