Quantitative analysis of dense-core vesicle fusion in rodent CNS neurons.

Autor:	Moro A; Department of Clinical Genetics, UMC Amsterdam, the Netherlands., Hoogstraaten RI; Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit (VU) Amsterdam, de Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.; Department of Clinical Genetics, UMC Amsterdam, the Netherlands., Persoon CM; Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit (VU) Amsterdam, de Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.; Department of Clinical Genetics, UMC Amsterdam, the Netherlands., Verhage M; Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit (VU) Amsterdam, de Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.; Department of Clinical Genetics, UMC Amsterdam, the Netherlands., Toonen RF; Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit (VU) Amsterdam, de Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.
Jazyk:	angličtina
Zdroj:	STAR protocols [STAR Protoc] 2021 Feb 03; Vol. 2 (1), pp. 100325. Date of Electronic Publication: 2021 Feb 03 (Print Publication: 2021).
DOI:	10.1016/j.xpro.2021.100325
Abstrakt:	Neuropeptides are essential signaling molecules secreted by dense-core vesicles (DCVs). They contribute to information processing in the brain, controlling a variety of physiological conditions. Defective neuropeptide signaling is implicated in several psychiatric disorders. Here, we provide a protocol for the quantitative analysis of DCV fusion events in rodent neurons using pH-sensitive DCV fusion probes and custom-written analysis algorithms. This method can be used to study DCV fusion mechanisms and is easily adapted to investigate fusion principles of other secretory organelles. For complete details on the use and execution of this protocol, please refer to Persoon et al. (2019). Competing Interests: The authors declare no competing interests. (© 2021 The Author(s).)
Databáze:	MEDLINE
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