دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش:
نویسندگان: Elizabeth D. Buttermore
سری:
ISBN (شابک) : 0128222778, 9780128222775
ناشر: Academic Press
سال نشر: 2022
تعداد صفحات: 374
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 6 مگابایت
در صورت تبدیل فایل کتاب Phenotyping of Human iPSC-derived Neurons: Patient-Driven Research به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب فنوتیپ کردن نورون های مشتق شده از iPSC انسانی: تحقیقات بیمار محور نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Front Cover PHENOTYPING OF HUMAN IPSC-DERIVED NEURONS PHENOTYPING OF HUMAN IPSC-DERIVED NEURONS: PATIENT-DRIVEN RESEARCH Copyright Dedication Contents Contributors I - Best practices and considerations when designing a new project 1 - iPSC culture: best practices from sample procurement to reprogramming and differentiation Facility setup Tissue culture room design Tissue culture equipment Primary sample collection Somatic cells Quality control of somatic cells Reprogramming Pros and cons of each method Episomal vector transfection Sendai virus transduction mRNA reprogramming method iPSC line characterization Sterility Pluripotency Transgene elimination Identity Genetic stability Best practices prior to differentiation Cell banking Culturing conditions Differentiation Experimental design Cell line selection Differentiation protocol selection Best practices during differentiation References 2 - Phenotypic assay development with iPSC-derived neurons: technical considerations from plating to analysis Introduction Establishing optimal conditions for phenotyping iPSC-derived neurons Differentiation protocol considerations Coating substrates High content imaging (HCI) Functional analysis Multi-electrode array (MEA) recording Calcium imaging Patch clamping Live imaging Fluorescent microplate assays Assay development for screening Conclusion References 3 - Derivation of cortical interneurons from human pluripotent stem cells to model neurodevelopmental disorders Introduction Development of the human cortex Modeling human cortical interneuron development in vitro The development of protocols for cortical interneurons from human pluripotent stem cells (hPSCs) to model neurodevelopmenta ... A protocol for cortical interneuron derivation from human pluripotent stem cells (hPSCs) Equipment and supplies Reagents Preparation of reagents Accutase cell detachment solution B-27 supplement (50×) minus vitamin A Preparing matrigel Coating tissue culture plates with Matrigel Coating tissue culture plates with Matrigel-Laminin Small molecule preparation Media composition Protocol Specification of cortical interneuron progenitors from hPSCs Maintenance and expansion of cIN NPCs Cryopreservation of cIN neural progenitor cells Revival and maintenance of cryopreserved cIN neural progenitor cells Interneuron differentiation and maturation from cIN neural progenitor cells Enrichment and purification of cIN neural progenitor cells and neurons Enrichment for post-mitotic cINs with neural rosette selection reagent Purification of post-mitotic cINs with NCAM bead selection Critical steps and troubleshooting Cellular phenotyping of hPSC-derived cINs Using immunocytochemistry to benchmark hPSC-derived cINs and to assess NDD-related alterations of neurodevelopment Morphometric analysis of neurite extension and length Neuronal migration assay Measurement of synaptic puncta Alternate protocol for derivation of cIN NPCs from hPSCs Alternate protocol for differentiation of cIN NPCs into interneurons Acknowledgments References 4 - Development of transcription factor-based strategies for neuronal differentiation from pluripotent stem cells Introduction Neuron differentiation driven by transcription factors Dopaminergic (DA) neurons Glutamatergic neurons GABAergic neurons Cholinergic motor neurons Retinal ganglion cells Glia: astrocytes, oligodendrocytes, and microglia Transcription factor-driven differentiation: considerations when designing a new protocol Design a cocktail of transcription factors Transcription factor delivery Genome integrating vectors Non-genome integrating viral vectors Synthetic mRNA Summary and future directions Acknowledgement References 5 - Differentiation of Purkinje cells from pluripotent stem cells for disease phenotyping in vitro Development of the cerebellum Differentiation of pluripotent stem cells into Purkinje cells Cerebellar organoids derived from iPSCs and ESCs in 3D cultures Human iPSC- and ESC-derived Purkinje cell differentiation in 2D co-cultures with mouse cerebellar cells Functional characterization of human pluripotent stem cell-derived Purkinje cells in vitro and in vivo Challenges in the differentiation of human Purkinje cells in 2D- and 3D-cell cultures Disease phenotyping of Purkinje cells Purkinje cells in cerebellar ataxia Mouse Purkinje cell models of cerebellar ataxia Human iPSC-derived NPCs and Purkinje cells in cerebellar ataxia Purkinje cells in Tuberous Sclerosis Complex (TSC) Mouse Purkinje cell models of TSC TSC patient iPSC-derived Purkinje cells Future perspectives for stem cell-derived Purkinje cells in translational medicine Cell transplantation for treatment of cerebellar degeneration Drug screening with pluripotent stem cell-derived Purkinje cells Acknowledgments References 6 - Brain organoids: models of cell type diversity, connectivity, and disease phenotypes Introduction Cerebral organoids Human corticogenesis overview Organoid differentiation overview Fidelity of hCO cell types and organization Other brain region specific organoids Neuronal activity and connectivity Synaptic activity Connectivity of neuronal organoids Non-neuronal cells Astrocytes Oligodendrocytes Microglia Vascularization/nutrient distribution Summary of non-neuronal cells Use of models in disease Microcephaly modeling with hCOs ASD modeling with hCOs Molecularly defined ASD Idiopathic ASD Limitations of hCO modeling for CNS disorders Reproducibility Sources of variability in organoid model systems Addressing reproducibility Conclusions and future directions References II - The use of iPSC-derived neurons to study neurological disorders 7 - Human models as new tools for drug development and precision medicine Introduction Drug development pipeline Human models as a screening tool for personalized precision medicine Monolayer models Organoids Organ-on-chip platforms Conclusion References 8 - Use of cerebral organoids to model environmental and gene x environment interactions in the developing fetus an ... Introduction Maternal immune activation Cerebral organoids as a model system to study MIA and neuroinflammation Cerebral organoids as a model system to study infectious diseases that cause neurodevelopmental disorders Zika virus SARS-CoV-2 Human immunodeficiency virus (HIV) Toxoplasmosis Cytomegalovirus (CMV) Herpes simplex virus (HSV) Cerebral organoids and cellular stress Heat shock Fetal alcohol syndrome Cerebral organoids to model neurodegenerative disorders Alzheimer\'s disease (AD) Cerebral organoids in familial AD Modeling sporadic AD Cerebral organoids for drug development in AD Modeling Parkinson Disease using organoid cultures Conclusion References 9 - iPSC-derived models of autism: Tools for patient phenotyping and assay-based drug discovery Introduction Syndromic autisms Fragile X syndrome Rett syndrome FOXG1 deletion syndrome Tuberous sclerosis Pheland McDermid syndrome Prader-Willi and Angelman syndromes Timothy syndrome iPSC studies to model ASDs in vitro iPSC studies focused on syndromic and sporadic autisms iPSC studies focusing on sporadic non-syndromic autism Data collected by studies focused on iPSCs from idiopathic autism Gene expression profiling Concordances in gene expression profiles obtained from studies on iPSC-derived cells and post-mortem brain tissue from idio ... Morphological and electrophysiological properties in iPSC-derived neurons from patients with idiopathic autism Similar phenotypes between iPSC-derived neurons from patients with sporadic or syndromic autisms and idiopathic autism 3D models of ASDs—a focus on organoids, spheroids, and assembloids The use of iPSCs to develop assays and novel therapies that can be translated to the clinic for ASD Limitations for using iPSC-derived neurons in drug screening platforms Quality control testing Automation challenges Cost Small “n” Epigenetic memory Well-to-well variability Variability within cell lines Variability across differentiation batches Disease modeling Screening of simple phenotypes The use of iPSC-derived neurons for personalized medicine Conclusions References 10 - Probing the electrophysiological properties of patient-derived neurons across neurodevelopmental disorders Induced pluripotent stem cells and modeling brain disorders Progressing from gene discovery to functional gene groupings to pathophysiology Neuronal networks represent a logical level for the manifestation of NDDs Micro-electrode arrays as a scalable high-throughput functional assay Phenotyping NDD patient-derived neurons using MEA recordings Fragile X and Rett syndrome Kleefstra syndrome Neuronal networks as converging pathways? The way forward Acknowledgments References 11 - Advantages and limitations of hiPSC-derived neurons for the study of neurodegeneration Introduction Biology of Alzheimer\'s disease Alzheimer\'s disease hiPSC models Familial AD (FAD) Sporadic Alzheimer\'s disease (SAD) Apolipoprotein E (APOE) Other AD risk factors Tauopathies: Alzheimer’s disease related dementias The challenge of aging in hiPSC models of age-related disease Modeling Alzheimer\'s disease with cerebral organoids Current challenges of 3D modeling and possible solutions Using hiPSC models for drug discovery Conclusions References III - New technology, industry perspective, and transitioning to the clinic 12 - Developing clinically translatable screens using iPSC-derived neural cells Introduction Is an iPSC-derived platform right for the application? What factors should be considered in developing iPSC-based assays? iPSC line selection Cell type selection Assay endpoint selection What factors should be considered when running an iPSC-based screen? Cell culture Undifferentiated iPSC culture and scale-up Differentiated iPSC culture and scale-up Cell plating, incubation, and long-term maintenance Media changes Assay optimization Assay formats Miniaturization Balancing throughput with assay stability Small molecule considerations Assay analytics Data analysis and hit determination Normalization methods and hit selection Summary References 13 - Gene editing hPSCs for modeling neurological disorders Introduction to limitations of iPSC-derived neuronal models that can be improved with gene editing In vitro culture models are either artificially simplified or too complex for simple comparison Genetic background differences lead to high variability when comparing lines from different individuals Visualizing and analyzing human cells in in vivo transplant models is technology challenging Gene editing systems – past, present, and future “Version 1.0” – meganucleases “Version 2.0” – zinc finger nucleases and TAL effector nucleases “Version 3.0” – CRISPR/cas nucleases “Version 4.0” – genome editing systems for translational medicine Use of genetic modification to generate isogenic cell lines Gene editing systems for generating isogenic lines Isogenic hPSC lines for disease modeling Isogenic knock-out cell lines Safe harbor locus transgenic systems Promoters utilized at safe harbor loci Effector transgenes utilizing safe harbor loci Endogenous locus transgenes Endogenous locus gene replacement transgenes Endogenous locus fusion protein or peptide tag transgenes Bi-cistronic reporter transgenes Complex transgenic systems utilizing multiple gene editing events Future of genetic modification in hPSC-based neuronal research References 14 - Cell therapy and biomanufacturing using hiPSC-derived neurons Introduction hiPSC-derived neurons to model specific neurological disorders Differentiating hiPSCs to NSCs Differentiating NSCs to specific neurons for disease modeling Alzheimer\'s disease (AD) Parkinson\'s disease (PD) Huntington disease (HD) Amyotrophic lateral sclerosis (ALS) Brief history of bio-manufacturing Historical perspective of the term “quality” Concept and methods applied to develop quality management Quality management applied to GLP The origins of good manufacturing practices (GMP) GMP applied to clinical-grade cell manufacturing Manufacturing hiPSCs and neuronal derivatives hiPSC reprogramming and differentiation process overview Informed consent Screening donor samples for contagious disease Tissue acquisition, cell isolation, and expansion Reprogramming method hiPSC banking and quality controls Specific differentiation and characterization of cellular subtypes Clinical trials with hiPSC-derived neurons Perspective and challenges for clinical translation References 15 - Ethical considerations for the use of stem cell-derived therapies Overview of induced pluripotent stem cell (iPSC) therapies for neurological application Ethical and social issues Quality control (QC) and quality assurance (QA) issues Characterization of the therapeutic cell product Potency assays Tissue specificity Risks, benefits, and safety for participants and patients Informed consent and patient vulnerability Access/provision Ethical translation of promising stem cell-based neurological therapeutics Ethical translation in practice Conclusions References Index A B C D E F G H I K L M N O P Q R S T V W Z Back Cover