Pak / Huang | Stem Cell-Based Neural Model Systems for Brain Disorders | Buch | 978-1-0716-3286-4 | sack.de

Buch, Englisch, Band 2683, 292 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 780 g

Reihe: Methods in Molecular Biology

Pak / Huang

Stem Cell-Based Neural Model Systems for Brain Disorders


2023
ISBN: 978-1-0716-3286-4
Verlag: Springer US

Buch, Englisch, Band 2683, 292 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 780 g

Reihe: Methods in Molecular Biology

ISBN: 978-1-0716-3286-4
Verlag: Springer US


This detailed volume presents validated and well-adapted procedures involving humanized and/or stem cell-based neural model systems that have proven helpful in better understanding the essential brain functions involved in the pathogenesis of brain disorders. The book explores the generation of multiple neural cell types in 2D and 3D as well as cutting-edge techniques to assay neural function. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Stem Cell-Based Neural Model Systems for Brain Disorders serves as an essential resource for researchers and students in neuroscience, stem cell biology, and related fields.

Pak / Huang Stem Cell-Based Neural Model Systems for Brain Disorders jetzt bestellen!

Zielgruppe


Professional/practitioner

Weitere Infos & Material


Generation of Cerebral Cortical Neurons from Human Pluripotent Stem Cells in 3D Culture.- Generation of Homogeneous Populations of Cortical Interneurons from Human Pluripotent Stem Cells.- Generation and Co-Culture of Cortical Glutamatergic and GABAergic Induced Neuronal Cells.- Transcription Factor-Directed Dopaminergic Neuron Differentiation from Human Pluripotent Stem Cells.- Directed Differentiation of Human iPSCs into Microglia-Like Cells Using Defined Transcription Factors.- The Generation and Functional Characterization of Human Microglia-Like Cells Derived from iPS and Embryonic Stem Cells.- Modeling Cellular Crosstalk of Neuroinflammation Axis by Tri-Cultures of iPSC-Derived Human Microglia, Astrocytes, and Neurons.- Generation of Oligodendrocytes from Human Pluripotent and Embryonic Stem Cells.- Characterizing the Neuron-Glial Interactions by the Co-Cultures of Human iPSC-Derived Oligodendroglia and Neurons.- Defined Differentiation of Human Pluripotent Stem Cells to Brain Microvascular Endothelial-Like Cells for Modeling the Blood-Brain Barrier.- Modeling the Blood-Brain Barrier Using Human Induced Pluripotent Stem Cells.- A Three-Dimensional Primary Cortical Culture System Compatible with Transgenic Disease Models, Virally-Mediated Fluorescence, and Live Microscopy.- Method to Generate Dorsal Forebrain Brain Organoids from Human Pluripotent Stem Cells.- A 3D Bioengineered Neural Tissue Model Generated from Human iPSC-Derived Neural Precursor Cells.- FACS-Based Sequencing Approach to Evaluate Cell Type to Genotype Associations Using Cerebral Organoids.- Dynamic Measurement of Endosome-Lysosome Fusion in Neurons Using High-Content Imaging.- Live-Imaging Detection of Multivesicular Body-Plasma Membrane Fusion and Exosome Release in Cultured Primary Neurons.- Assays of Monitoring and Measuring Autophagic Flux for iPSC-Derived Human Neurons and Other Brain Cell Types.- Measuring Neuronal Network Activity Using Human Induced Neuronal Cells.- A Simple Ca2+-Imaging Approach of Network-Activity Analyses for Human Neurons.- Whole Cell Patch Clamp Electrophysiology in Human Neuronal Cells.- Assaying Chemical Long-Term Potentiation in Human iPSC-Derived Neuronal Networks.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.