High-throughput protein target mapping enables accelerated bioactivity discovery for ToxCast and PFAS compounds
Abstract
Chemical pollution is a global threat to human health, yet the toxicity mechanisms of most contaminants remains unknown. Here, we applied an ultrahigh-throughput affinity selection–mass spectrometry (AS–MS) platform to systematically identify protein targets of prioritized chemical contaminants. After benchmarking the platform, we screened 50 human proteins against 481 prioritized chemicals, including 446 ToxCast chemicals and 35 per- and polyfluoroalkyl substances (PFAS). Among 24,050 interactions assessed, we discovered 35 interactions involving 13 proteins, with fatty acid–binding proteins (FABPs) emerging as the most ligandable protein family. Given this, we selected FABPs for further validation, which revealed a distinct PFAS binding pattern: legacy PFAS selectively bound to FABP1, whereas replacement compounds, perfluoroether carboxylic acids, unexpectedly interacted with all FABPs. X-ray crystallography further revealed that the ether group enhances the molecular flexibility of alternative PFAS to accommodate the binding pockets of FABPs. Our findings demonstrate that AS–MS is a robust platform for the discovery of protein targets beyond the scope of ToxCast and highlight the broader protein-binding spectrum of alternative PFAS as potential regrettable substitutes.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (22)
Diwen Yang
Department of Physical and Environmental Sciences, University of Toronto Scarborough
Xiaoyun Wang
Department of Chemistry, University of Toronto
Jiabao Liu
Department of Chemistry, University of Toronto
Yufeng Gong
Department of Chemistry, University of Toronto
Pranav Nair
Department of Chemistry, University of Toronto
Jianxian Sun
Department of Chemistry, University of Toronto
Xing Qian
Department of Chemistry, University of Toronto
Jingyuan Cui
Department of Chemistry, University of Toronto
Hong Zeng
Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China
Aiping Dong
Structural Genomics Consortium
Rachel J. Harding
Structural Genomics Consortium
Nicola Burgess-Brown
Structural Genomics Consortium, University College London
Tyler S. Beyett
Department of Pharmacology and Chemical Biology, Emory University
Datong Song
Department of Chemistry, University of Toronto
Henry M. Krause
Donnelly Centre for Cellular & Biomolecular Research, University of Toronto
Miriam L. Diamond
School of the Environment, University of Toronto
Derek L. Bolhuis
Nicholas G. Brown
Cheryl H. Arrowsmith
Aled M. Edwards
Structural Genomics Consortium
Levon Halabelian
Structural Genomics Consortium
Hui Peng