Most central nervous system (CNS) disorders are currently incurable due to our limited understanding of disease mechanisms and the challenges of CNS drug development. Mass Spectrometry (MS) has become one of the foremost technologies to analyze diverse biomolecules with unbeaten throughput and accuracy to contribute to our fundamental understanding of the CNS. MS-based techniques are also widely applied to decipher the molecular mechanisms of neurological disorders and discover biomarkers and therapeutic targets for brain diseases. This Method Collection will highlight recent advancements and methods in various MS techniques and MS-based analyses of diverse biomolecules, including but not limited to MS-based proteomics, peptidomics, metabolomics, lipidomics, MS-imaging, single-cell analysis, and biomarker discovery, with a special focus in studying the CNS. MS-based methods to analyze samples from different cellular and animal models of neurological disorders, as well as human patient samples, will also be included in this collection. The goal is to provide video-based protocols and promote best practices in cutting-edge MS-based methodologies, assisting the researchers in the field to advance new technologies and deepen our understandings of the CNS.
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Cited by 4
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2021
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Maximilian Wulf1,2, Katalin Barkovits-Boeddinghaus1,2, Paula Sommer1,2, Karin Schork1,2, Martin Eisenacher1,2, Peter Riederer3,4, Manfred Gerlach5, Steffen Kösters1,2, Britta Eggers*1,2, Katrin Marcus*1,2
1Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 2Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum, 3Center of Mental Health; Clinic and Policlinic for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Wuerzburg, 4Psychiatry Department of Clinical Research, University of Southern Denmark Odense University Hospital, 5Center of Mental Health, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Wuerzburg, University of Wuerzburg
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Cited by 3
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2022
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Cited by 1
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2025
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Seth W. Croslow*1,2, Timothy J. Trinklein*1, Siheun Lee1,3, Stanislav S. Rubakhin1,2, Jonathan V. Sweedler1,2,3,4
1Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, 2Department of Chemistry, University of Illinois Urbana-Champaign, 3Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, 4Neuroscience Program, University of Illinois Urbana-Champaign
Personalized and deep analysis of the aging brain proteome by mass spectrometry using OpenCustomDB
Noé Guilloy1,
Xavier Roucou*2,
Marie A Brunet*3,
Sébastien Leblanc4
1Department of Biochemistry and Functional Genomics, University of Sherbrooke, Sherbrooke, Canada; Medical Genetics Service, Department of Pediatrics, University of Sherbrooke, Sherbrooke, Canada,
2Department of Biochemistry and Functional Genomics, University of Sherbrooke, Sherbrooke, Canada,
3Medical Genetics Service, Department of Pediatrics, University of Sherbrooke, Sherbrooke, Canada,
4Medical Genetics Service, Department of Pediatrics, University of Sherbrooke, Sherbrooke, Canada; Department of Biochemistry and Functional Genomics, University of Sherbrooke, Sherbrooke, Canada