The combined activity of epigenetic features, which include histone post-translational modifications, DNA methylation, and nucleosome positioning, regulates gene expression independently from changes in the DNA sequence, defining how the shared genetic information of an organism is used to generate different cell phenotypes. Alterations in epigenetic processes have been linked with a multitude of diseases, including cancer, fueling interest in the discovery of drugs targeting the proteins responsible for writing, erasing, or reading histone and DNA modifications. Mass spectrometry (MS)-based proteomics has emerged as a versatile tool that can assist drug discovery pipelines from target validation, through target deconvolution, to monitoring drug efficacy in vivo. Here, we provide an overview of the contributions of MS-based proteomics to epigenetic drug discovery, describing the main approaches that can be used to support different drug discovery pipelines and highlighting how they contributed to the development and characterization of epigenetic drugs.
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http://dx.doi.org/10.1002/pmic.202200435 | DOI Listing |
J Med Chem
March 2025
State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine; Shanghai Frontiers Science Center of TCM Chemical Biology; Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
The anticancer agent irinotecan often induces severe delayed-onset diarrhea, inhibiting human carboxylesterase 2A (hCES2A) can significantly alleviate irinotecan-triggered gut toxicity (ITGT). This work presents an efficient workflow for design and developing novel efficacious hCES2A inhibitors. A well-training machine learning model identified as a lead compound, while compound was developed as a novel time-dependent hCES2A inhibitor (IC = 0.
View Article and Find Full Text PDFJ Immunol
January 2025
Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, United States.
The CD2-depleting drug alefacept (LFA3-Ig) preserved beta cell function in new-onset type 1 diabetes (T1D) patients. The most promising biomarkers of response were late expansion of exhausted CD8 T cells and rare baseline inflammatory islet-reactive CD4 T cells, neither of which can be used to measure responses to drug in the weeks after treatment. Thus, we investigated whether early changes in T cell immunophenotypes could serve as biomarkers of drug activity.
View Article and Find Full Text PDFJ Am Chem Soc
March 2025
Key Laboratory of Green Chemistry & Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610065, China.
The ongoing discovery of highly reactive ambiphilic main-group species has significantly advanced the development of main-group chemistry, particularly in the realms of small molecule activation and catalysis. Theoretically, compounds featuring smaller HOMO-LUMO gaps gain stronger ambiphilicity and higher reactivity. In this work, we fundamentally demonstrate that MeSb holds the smallest HOMO-LUMO gap among trimethylpnictines, indicating its outstanding ambiphilicity.
View Article and Find Full Text PDFJ Org Chem
March 2025
Key Lab of Organic Optoelectronics & Molecular Engineering of Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China.
Arylsulfonylindole and arylsulfenylindole motifs stand as privileged scaffolds in drug discovery. Traditional methods for synthesizing these molecules have relied mainly on prefunctionalized precursors, involving multistep processes and generating a large amount of waste. In this study, we present a modular protocol for the preparation of 3-sulfonylindoles and 3-sulfenylindoles using indoles and thiols as starting materials via hexamolybdate/HO-mediated oxidative dehydrogenative C-S coupling.
View Article and Find Full Text PDFSci Adv
March 2025
Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Bacterial populations experience chemical gradients in nature. However, most experimental systems either ignore gradients or fail to capture gradients in mechanically relevant contexts. Here, we use microfluidic experiments and biophysical simulations to explore how host-relevant shear flow affects antimicrobial gradients across communities of the highly resistant pathogen .
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