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Proteoforms, structurally distinct yet closely related protein isoforms, play a pivotal role in biopharmaceutical development, directly influencing therapeutic efficacy, safety, and stability. These molecular variants arise from genetic polymorphisms, alternative splicing, and post-translational modifications, necessitating advanced analytical techniques for precise characterization. Imaged capillary isoelectric focusing (icIEF) coupled with mass spectrometry (MS) has become a powerful high-resolution tool for resolving and identifying proteoforms in complex biopharmaceutical samples. This study used a monoclonal antibody (mAb) as a paradigm to comprehensively evaluate the chemical properties of pI markers and carrier ampholytes in icIEF-MS. By investigating their effects on method accuracy, sensitivity, MS compatibility, and repeatability, we demonstrated how reagent selection can impact overall assay performance. The MS characterization of these reagents provided deeper insights into their influence on icIEF separation and proteoform identification, offering a critical case study for optimizing diverse icIEF reagent strategies. These findings contribute to the advancement of icIEF-MS methodologies, ensuring robust and reproducible proteoform characterization for biopharmaceutical research, process development, and quality control.
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http://dx.doi.org/10.1016/j.jchromb.2025.124705 | DOI Listing |
Anal Bioanal Chem
September 2025
Department of Chemistry, School of Chemistry, Food and Pharmacy, University of Reading, Reading, RG6 6DX, UK.
Fungal pathogens pose a growing threat to global health, necessitating rapid and accurate identification methods. Here, liquid atmospheric pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) mass spectrometry (MS) is applied to fast lipid and protein profiling of Candida albicans and Saccharomyces cerevisiae from cultured colonies. Species-specific lipid profiles were observed in the m/z 600-1100 range, dominated by phospholipids as confirmed by tandem mass spectrometry (MS/MS).
View Article and Find Full Text PDFActa Neuropathol Commun
September 2025
Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Boston, MA, 02115, USA.
Optineurin (OPTN) is an autophagy adaptor protein involved in selective autophagy, including aggrephagy and mitophagy. Pathogenic mutations in OPTN have also been linked to amyotrophic lateral sclerosis, frontotemporal dementia, and glaucoma, supporting its role in the etiology of neurodegenerative diseases. Despite its established biological roles, knowledge about its potential contribution to Alzheimer's disease (AD) pathology and neuronal functioning is lacking.
View Article and Find Full Text PDFJ Transl Med
August 2025
Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
Background: Myalgic encephalomyelitis (ME) is a chronic, multisystem illness characterized by post-exertional malaise (PEM) and cognitive dysfunction, yet the molecular mechanisms driving these hallmark symptoms remain unclear. This study investigated haptoglobin (Hp) as a potential biomarker of PEM severity and cognitive impairment in ME, with a focus on Hp phenotypes and structural proteoforms.
Methods: A longitudinal case-control study was conducted in 140 ME patients and 44 matched sedentary healthy controls.
Proteomics
August 2025
Advanced Research Support Center, Ehime University, Ehime, Japan.
Top-down proteomics (TDP) is a powerful analytical approach for the highly sensitive measurement of intact proteoforms by mass spectrometry. However, its application to high molecular weight proteoforms remains challenging. Middle-down proteomics (MDP) offers a practical solution but requires pre-fractionation of the complex peptide mixture generated by limited digestion to successfully achieve trace-level peptide detection.
View Article and Find Full Text PDFProteomics
August 2025
Department of Chemistry, Zhejiang University, Hangzhou, China.
Top-down proteomics (TDP) is a powerful approach for characterizing intact protein molecules and their diverse proteoforms. Despite recent advances, current TDP software tools often suffer from fragmented workflows, steep learning curves for non-experts, or limited interactive visualization capabilities. To address these challenges, we introduce TDEase, an integrated analytical framework designed to streamline and enhance TDP data interpretation, with a current focus on integration with the TopPIC suite package for targeted proteoform characterization.
View Article and Find Full Text PDF