Literature DB >> 33965046

High-throughput protein modification quantitation analysis using intact protein MRM and its application on hENGase inhibitor screening.

Dingyin Tao1, Miao Xu2, Atena Farkhondeh2, Andrew P Burns2, Steven Rodems3, Matthew Might4, Wei Zheng2, Christopher A LeClair5.   

Abstract

Proteins are widely used as drug targets, enzyme substrates, and biomarkers for numerous diseases. The emerging demand for proteins quantitation has been increasing in multiple fields. Currently, there is still a big gap for high-throughput protein quantitation at intact protein level using label-free method. Here we choose ribonuclease B (RNB) as a model, which is the substrate for human endo-β-N-acetylglucosaminidase (hENGase), a promising drug target for the treatment of N-Glycanase deficiency. Intact proteinlevel multiple reaction monitoring (MRM) methods were initally developed and optimized to quantify RNB and deglycosylated RNB (RNB-deg), with the S/N ratio improved by nearly 20-fold compared to the traditional full MS scan methods. To further increase the throughput making it possible for hENGase inhibitors screen, the protein MRM methods were introduced to the RapidFire-MS/MS system, achieving at least 12-fold throughput improvement. This assay was further optimized into 384-well plate format for compound screening with S/B ratio >37-fold and Z' factor >0.7 that is suitable for high-throughput screening of compound collections with a speed of 2 h per 384-well plate and an ability to screen over 3000 compounds per day at a single concentration dose. This 384-well plate based automated SPE-MS/MS assay is efficient and robust for compound screening and the assay format has a wide applicability to protein targets for other disease models. Published by Elsevier B.V.

Entities:  

Keywords:  High-throughput screening; MRM; Mass spectrometry; NGLY1; RapidFire; hENGase

Mesh:

Year:  2021        PMID: 33965046      PMCID: PMC8215893          DOI: 10.1016/j.talanta.2021.122384

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.556


  35 in total

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Journal:  Clin Chem       Date:  2005-09-22       Impact factor: 8.327

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Journal:  J Biomol Screen       Date:  2012-02-14

6.  Multiple Reaction Monitoring for Direct Quantitation of Intact Proteins Using a Triple Quadrupole Mass Spectrometer.

Authors:  Evelyn H Wang; Peter C Combe; Kevin A Schug
Journal:  J Am Soc Mass Spectrom       Date:  2016-03-08       Impact factor: 3.109

7.  The structural basis of the difference in sensitivity for PNGase F in the de-N-glycosylation of the native bovine pancreatic ribonucleases B and BS.

Authors:  Véronique Blanchard; Martin Frank; Bas R Leeflang; Rolf Boelens; Johannis P Kamerling
Journal:  Biochemistry       Date:  2008-02-23       Impact factor: 3.162

8.  High-throughput antibody screening from complex matrices using intact protein electrospray mass spectrometry.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-23       Impact factor: 11.205

9.  A validated antibody panel for the characterization of tau post-translational modifications.

Authors:  Ebru Ercan; Sameh Eid; Christian Weber; Alexandra Kowalski; Maria Bichmann; Annika Behrendt; Frank Matthes; Sybille Krauss; Peter Reinhardt; Simone Fulle; Dagmar E Ehrnhoefer
Journal:  Mol Neurodegener       Date:  2017-11-21       Impact factor: 14.195

10.  Stress and interferon signalling-mediated apoptosis contributes to pleiotropic anticancer responses induced by targeting NGLY1.

Authors:  Ashwini Zolekar; Victor J T Lin; Nigam M Mishra; Yin Ying Ho; Hamed S Hayatshahi; Abhishek Parab; Rohit Sampat; Xiaoyan Liao; Peter Hoffmann; Jin Liu; Kyle A Emmitte; Yu-Chieh Wang
Journal:  Br J Cancer       Date:  2018-11-02       Impact factor: 7.640

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  2 in total

1.  Discovery of Novel Small-Molecule Scaffolds for the Inhibition and Activation of WIP1 Phosphatase from a RapidFire Mass Spectrometry High-Throughput Screen.

Authors:  Victor Clausse; Yuhong Fang; Dingyin Tao; Harichandra D Tagad; Hongmao Sun; Yuhong Wang; Surendra Karavadhi; Kelly Lane; Zhen-Dan Shi; Olga Vasalatiy; Christopher A LeClair; Rebecca Eells; Min Shen; Samarjit Patnaik; Ettore Appella; Nathan P Coussens; Matthew D Hall; Daniel H Appella
Journal:  ACS Pharmacol Transl Sci       Date:  2022-09-28

2.  Gene Differential Expression and Interaction Networks Illustrate the Biomarkers and Molecular Mechanisms of Atherosclerotic Cerebral Infarction.

Authors:  Benzhuo Zhang; Wei Huang; Mingquan Yi; Chunxu Xing
Journal:  J Healthc Eng       Date:  2022-01-12       Impact factor: 2.682

  2 in total

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