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With the emergence of next-generation nucleotide sequencing and mass spectrometry-based proteomics and metabolomics tools, we have comprehensive and scalable methods to analyze the genes, transcripts, proteins, and metabolites of a multitude of biological systems. Despite the fascinating new molecular insights at the genome, transcriptome, proteome and metabolome scale, we are still far from fully understanding cellular organization, cell cycles and biology at the molecular level. Significant advances in sensitivity and depth for both sequencing as well as mass spectrometry-based methods allow the analysis at the single cell and single molecule level. At the same time, new tools are emerging that enable the investigation of molecular interactions throughout the central dogma of molecular biology. In this review, we provide an overview of established and recently developed mass spectrometry-based tools to probe metabolite-protein interactions-from individual interaction pairs to interactions at the proteome-metabolome scale.
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http://dx.doi.org/10.1002/pmic.202200533 | DOI Listing |
Microbes Infect
September 2025
Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland; ESCMID study group on Molecular Diagnostics and Genomics. Electronic address:
Rapid advancements in artificial intelligence (AI) and machine learning (ML) offer significant potential to transform medical microbiology diagnostics, improving pathogen identification, antimicrobial susceptibility prediction and outbreak detection. To address these opportunities and challenges, the ESCMID workshop, "Artificial Intelligence and Machine Learning in Medical Microbiology Diagnostics", was held in Zurich, Switzerland, from June 2-5, 2025. The course featured expert lectures, practical sessions and panel discussions covering foundational ML concepts and deep learning architectures, data interoperability, quality control processes, model development and validation strategies.
View Article and Find Full Text PDFJ Biol Chem
September 2025
Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan. Electronic address:
Posttranslational modifications (PTMs) of proteins are efficient biological mechanisms for expanding the genetic code and for regulating cellular physiology. However, there have been no systematic approaches to profile all the PTMs critical for autoreactive neoantigen production or the etiology and pathology of autoimmune diseases. In the present study, to gain insight into protein PTMs associated with systemic lupus erythematosus (SLE), we applied a mass spectrometry-based method for the comprehensive analysis of modified amino acids ("adductome").
View Article and Find Full Text PDFMar Pollut Bull
September 2025
Department of Chemistry, Kyungpook National University, Daegu 41566, Republic of Korea; Mass Spectrometry Based Converging Research Institute, Daegu 41566, Republic of Korea. Electronic address:
Polyethylene terephthalate (PET) is one of the most widely used plastics, particularly in packaging and textiles. Although PET is widely used in consumer products, only 10-28 % is recycled. Most PET waste is not properly managed.
View Article and Find Full Text PDFAddict Biol
September 2025
Faculty of Materials Science and Ceramics, AGH University of Krakow, Krakow, Poland.
This study aimed to investigate the role of LVV-hemorphin-7 (LVV-H7) in alcohol dependence. LVV-H7 is a short peptide derived from the cleavage of haemoglobin chains that binds to opioid receptors and plays diverse roles in various physiological and pathological processes. Additionally, LVV-H7 is cleaved at higher concentrations in the presence of alcohol.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
September 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine.
Context: Although salivary steroid sampling offers several advantages, the diagnostic potential of salivary steroid metabolites remains largely unexplored.Objective To evaluate the diagnostic utility of salivary steroid profiling in patients with adrenal diseases.
Design: Prospective multicenter study.