Cerebral Cavernous Malformations (CCM) / Methods in Molecular Biology Bd.2152 (PDF)
Methods and Protocols
(Sprache: Englisch)
This volume provides experimental approaches aimed to characterize the Cerebral Cavernous Malformations (CCM) disease and to define the cellular and molecular mechanisms underlying this pathology. Chapters are divided into four sections providing a general...
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Produktinformationen zu „Cerebral Cavernous Malformations (CCM) / Methods in Molecular Biology Bd.2152 (PDF)“
This volume provides experimental approaches aimed to characterize the Cerebral Cavernous Malformations (CCM) disease and to define the cellular and molecular mechanisms underlying this pathology. Chapters are divided into four sections providing a general overview of the natural history, epidemiology, and pathogenetic mechanisms of CCM disease, describing methods currently used for diagnosis and treatment, production and analysis of distinct cellular and animal models in which CCM can be studied, and different methodological approaches to study the mechanisms underlying the CCM onset and progression. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Cerebral Cavernous Malformations (CCM): Methods and Protocols aims to ensure successful results in the further study of this complex disease and its pathophysiologic correlates.
Bibliographische Angaben
- 2020, 1st ed. 2020, 496 Seiten, Englisch
- Herausgegeben: Lorenza Trabalzini, Federica Finetti, Saverio Francesco Retta
- Verlag: Springer, New York
- ISBN-10: 1071606409
- ISBN-13: 9781071606407
- Erscheinungsdatum: 10.06.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 13 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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