Literature DB >> 25205128

A targeted proteomics toolkit for high-throughput absolute quantification of Escherichia coli proteins.

Tanveer S Batth1, Pragya Singh1, Vikram R Ramakrishnan2, Mirta M L Sousa3, Leanne Jade G Chan1, Huu M Tran4, Eric G Luning5, Eva H Y Pan1, Khanh M Vuu1, Jay D Keasling6, Paul D Adams7, Christopher J Petzold8.   

Abstract

Transformation of engineered Escherichia coli into a robust microbial factory is contingent on precise control of metabolism. Yet, the throughput of omics technologies used to characterize cell components has lagged far behind our ability to engineer novel strains. To expand the utility of quantitative proteomics for metabolic engineering, we validated and optimized targeted proteomics methods for over 400 proteins from more than 20 major pathways in E. coli metabolism. Complementing these methods, we constructed a series of synthetic genes to produce concatenated peptides (QconCAT) for absolute quantification of the proteins and made them available through the Addgene plasmid repository (www.addgene.org). To facilitate high sample throughput, we developed a fast, analytical-flow chromatography method using a 5.5-min gradient (10 min total run time). Overall this toolkit provides an invaluable resource for metabolic engineering by increasing sample throughput, minimizing development time and providing peptide standards for absolute quantification of E. coli proteins.
Copyright © 2014 International Metabolic Engineering Society. All rights reserved.

Entities:  

Keywords:  Absolute protein quantification; E. coli; High-throughput proteomics; Peptide standards; Targeted proteomics

Mesh:

Substances:

Year:  2014        PMID: 25205128     DOI: 10.1016/j.ymben.2014.08.004

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  18 in total

1.  Biosynthesis and secretion of the microbial sulfated peptide RaxX and binding to the rice XA21 immune receptor.

Authors:  Dee Dee Luu; Anna Joe; Yan Chen; Katarzyna Parys; Ofir Bahar; Rory Pruitt; Leanne Jade G Chan; Christopher J Petzold; Kelsey Long; Clifford Adamchak; Valley Stewart; Youssef Belkhadir; Pamela C Ronald
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-04       Impact factor: 11.205

Review 2.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

3.  Supernatant protein biomarkers of red blood cell storage hemolysis as determined through an absolute quantification proteomics technology.

Authors:  Angelo D'Alessandro; Monika Dzieciatkowska; Ryan C Hill; Kirk C Hansen
Journal:  Transfusion       Date:  2016-01-26       Impact factor: 3.157

4.  Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow.

Authors:  Elizabeth Brunk; Kevin W George; Jorge Alonso-Gutierrez; Mitchell Thompson; Edward Baidoo; George Wang; Christopher J Petzold; Douglas McCloskey; Jonathan Monk; Laurence Yang; Edward J O'Brien; Tanveer S Batth; Hector Garcia Martin; Adam Feist; Paul D Adams; Jay D Keasling; Bernhard O Palsson; Taek Soon Lee
Journal:  Cell Syst       Date:  2016-05-19       Impact factor: 10.304

5.  Separating Golgi Proteins from Cis to Trans Reveals Underlying Properties of Cisternal Localization.

Authors:  Harriet T Parsons; Tim J Stevens; Heather E McFarlane; Silvia Vidal-Melgosa; Johannes Griss; Nicola Lawrence; Richard Butler; Mirta M L Sousa; Michelle Salemi; William G T Willats; Christopher J Petzold; Joshua L Heazlewood; Kathryn S Lilley
Journal:  Plant Cell       Date:  2019-07-02       Impact factor: 11.277

6.  Betulinic Acid Affects the Energy-Related Proteomic Profiling in Pancreatic Ductal Adenocarcinoma Cells.

Authors:  Ching-Feng Chiu; Hsin-Yi Chang; Chun-Yine Huang; Chen-Zou Mau; Tzu-Ting Kuo; Hsiu-Chuan Lee; Shih-Yi Huang
Journal:  Molecules       Date:  2021-04-24       Impact factor: 4.411

7.  Prediction of Hopeless Peptides Unlikely to be Selected for Targeted Proteome Analysis.

Authors:  Fumio Matsuda; Atsumi Tomita; Hiroshi Shimizu
Journal:  Mass Spectrom (Tokyo)       Date:  2017-06-02

Review 8.  Gas fermentation: cellular engineering possibilities and scale up.

Authors:  Björn D Heijstra; Ching Leang; Alex Juminaga
Journal:  Microb Cell Fact       Date:  2017-04-12       Impact factor: 5.328

Review 9.  Analytics for Metabolic Engineering.

Authors:  Christopher J Petzold; Leanne Jade G Chan; Melissa Nhan; Paul D Adams
Journal:  Front Bioeng Biotechnol       Date:  2015-09-07

10.  Absolute quantification of proteins in the fatty acid biosynthetic pathway using protein standard absolute quantification.

Authors:  Hui Tao; Yuchen Zhang; Xiaoying Cao; Zixin Deng; Tiangang Liu
Journal:  Synth Syst Biotechnol       Date:  2016-02-17
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