Proteomics

Dataset Information

0

Quantitative Chemoproteomic Profiling with Data-Independent Acquisition-based Mass Spectrometry


ABSTRACT: Activity-based protein profiling (ABPP) has emerged as a powerful and versatile tool to enable annotation of protein functions and discovery of targets of bioactive ligands in complex biological systems. It utilizes chemical probes to covalently label functional sites in proteins so that they can be enriched for mass spectrometry (MS)-based quantitative proteomics analysis. However, the semi-stochastic nature of data-dependent acquisition (DDA) and high cost associated with isotopically encoded quantification reagents compromise the power of ABPP in multidimensional analysis and high-throughput screening, when a large number of samples need to be quantified in parallel. Here, we combine the data-independent acquisition (DIA) mass spectrometry with ABPP to develop an efficient label-free quantitative chemical proteomic method, DIA-ABPP, with good reproducibility and high accuracy for multiplex quantification. We demonstrated the power of DIA-ABPP for comprehensive profiling of functional cysteineome in three distinct applications, including dose-dependent quantification of cysteines’ sensitivity toward a reactive metabolite, screening of ligandable cysteines with a covalent fragment library, and profiling of cysteinome fluctuation in circadian clock cycles. DIA-ABPP will open new opportunities for in-depth and multidimensional profiling of functional proteomes and interactions with bioactive small molecules in complex biological systems.

ORGANISM(S): Homo Sapiens Mus Musculus

SUBMITTER: Chu Wang  

PROVIDER: PXD027578 | iProX | Tue Jul 27 00:00:00 BST 2021

REPOSITORIES: iProX

altmetric image

Publications

Quantitative Chemoproteomic Profiling with Data-Independent Acquisition-Based Mass Spectrometry.

Yang Fan F   Jia Guogeng G   Guo Jiuzhou J   Liu Yuan Y   Wang Chu C  

Journal of the American Chemical Society 20220105 2


Activity-based protein profiling (ABPP) has emerged as a powerful and versatile tool to enable annotation of protein functions and discovery of targets of bioactive ligands in complex biological systems. It utilizes chemical probes to covalently label functional sites in proteins so that they can be enriched for mass spectrometry (MS)-based quantitative proteomics analysis. However, the semistochastic nature of data-dependent acquisition and high cost associated with isotopically encoded quantif  ...[more]

Similar Datasets

2012-11-22 | E-GEOD-33891 | biostudies-arrayexpress
2024-01-26 | PXD042403 | Pride
2022-04-04 | PXD031848 | Pride
2016-02-22 | PXD003000 | Pride
2022-04-19 | PXD031708 | Pride
2023-07-29 | PXD019863 | Pride
2023-07-29 | PXD018610 | Pride
2021-01-28 | PXD017945 | Pride
2021-01-28 | PXD017904 | Pride
2023-03-11 | PXD030618 | Pride