Laser Microdissection-Based Protocol for the LC-MS/MS Analysis of the Proteomic Profile of Neuromelanin Granules.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
16 12 2021
Historique:
entrez: 3 1 2022
pubmed: 4 1 2022
medline: 6 4 2022
Statut: epublish

Résumé

Neuromelanin is a black-brownish pigment, present in so-called neuromelanin granules (NMGs) in dopaminergic neurons of the substantia nigra pars compacta. Besides neuromelanin, NMGs contain a variety of proteins, lipids, and metals. Although NMGs-containing dopaminergic neurons are preferentially lost in neurodegenerative diseases like Parkinson's disease and dementia with Lewy bodies, only little is known about the mechanism of NMG formation and the role of NMGs in health and disease. Thus, further research on the molecular characterization of NMGs is essential. Unfortunately, standard protocols for the isolation of proteins are based on density gradient ultracentrifugation and therefore require high amounts of human tissue. Thus, an automated laser microdissection (LMD)-based protocol is established here which allows the collection of NMGs and surrounding substantia nigra (SN) tissue using minimal amounts of tissue in an unbiased, automatized way. Excised samples are subsequently analyzed by mass spectrometry to decipher their proteomic composition. With this workflow, 2,079 proteins were identified of which 514 proteins were exclusively identified in NMGs and 181 in SN. The present results have been compared with a previous study using a similar LMD-based approach reaching an overlap of 87.6% for both proteomes, verifying the applicability of the revised and optimized protocol presented here. To validate current findings, proteins of interest were analyzed by targeted mass spectrometry, e.g., parallel reaction monitoring (PRM)-experiments.

Identifiants

pubmed: 34978295
doi: 10.3791/63289
doi:

Substances chimiques

Melanins 0
neuromelanin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Maximilian Wulf (M)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Katalin Barkovits-Boeddinghaus (K)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Paula Sommer (P)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Karin Schork (K)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Martin Eisenacher (M)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Peter Riederer (P)

Center of Mental Health; Clinic and Policlinic for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Wuerzburg; Psychiatry Department of Clinical Research, University of Southern Denmark Odense University Hospital.

Manfred Gerlach (M)

Center of Mental Health, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Wuerzburg, University of Wuerzburg.

Steffen Kösters (S)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Britta Eggers (B)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum.

Katrin Marcus (K)

Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum; Medical Proteome Analysis, Center for Proteindiagnostics (PRODI), Ruhr-University Bochum; katrin.marcus@ruhr-uni-bochum.de.

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Classifications MeSH