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Human Embryonic Stem Cell Protocols

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Cover of 'Human Embryonic Stem Cell Protocols'

Table of Contents

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    Book Overview
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    Chapter 54 A Simple Protocol for the Generation of Cardiomyocytes from Human Pluripotent Stem Cells
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    Chapter 55 Use of Multicolor Flow Cytometry for Isolation of Specific Cell Populations Deriving from Differentiated Human Embryonic Stem Cells
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    Chapter 56 Accelerated Three-Dimensional Neuroepithelium Formation from Human Embryonic Stem Cells and Its Use for Quantitative Differentiation to Human Retinal Pigment Epithelium
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    Chapter 57 Efficient Production of Photoreceptor Precursor Cells from Human Embryonic Stem Cells
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    Chapter 58 Human Embryonic Stem Cell Protocols
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    Chapter 59 Dual-SMAD Inhibition/WNT Activation-Based Methods to Induce Neural Crest and Derivatives from Human Pluripotent Stem Cells.
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    Chapter 67 Directed Differentiation of Human Embryonic Stem Cells into Neural Progenitors
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    Chapter 68 Analysis of Intracellular Calcium Signaling in Human Embryonic Stem Cells
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    Chapter 69 Direct Conversion of Pluripotent Human Embryonic Stem Cells Under Defined Culture Conditions into Human Neuronal or Cardiomyocyte Cell Therapy Derivatives
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    Chapter 70 Generation of Epithelial Cell Populations from Human Pluripotent Stem Cells Using a Small-Molecule Inhibitor of Src Family Kinases
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    Chapter 73 Genetic Modification in Human Pluripotent Stem Cells by Homologous Recombination and CRISPR/Cas9 System.
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    Chapter 81 Microgrooved Surface Modulates Neuron Differentiation in Human Embryonic Stem Cells
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    Chapter 82 Efficient Expansion of Dissociated Human Pluripotent Stem Cells Using a Synthetic Substrate
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    Chapter 83 Study of Gap Junctions in Human Embryonic Stem Cells
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    Chapter 85 Derivation of Human Embryonic Stem Cell Lines from Vitrified Human Blastocysts
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    Chapter 86 Erratum to: Microgrooved Surface Modulates Neuron Differentiation in Human Embryonic Stem Cells
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    Chapter 89 Derivation of Chondrogenic Cells from Human Embryonic Stem Cells for Cartilage Tissue Engineering
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    Chapter 109 Characterizing Pluripotent Stem Cells Using the TaqMan® hPSC ScorecardTM Panel
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    Chapter 127 Immunofluorescence Microscopy and mRNA Analysis of Human Embryonic Stem Cells (hESCs) Including Primary Cilia Associated Signaling Pathways
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    Chapter 128 Human Embryonic and Hepatic Stem Cell Differentiation Visualized in Two and Three Dimensions Based on Serial Sections
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    Chapter 130 Differentiation of Human Embryonic Stem Cells on Periodontal Ligament Fibroblasts
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    Chapter 131 Monitoring Stemness in Long-Term hESC Cultures by Real-Time PCR
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    Chapter 132 Derivation of Epithelial Cells from Human Embryonic Stem Cells as an In Vitro Model of Vocal Mucosa.
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    Chapter 149 Derivation of Endothelial Cells and Pericytes from Human Pluripotent Stem Cells
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    Chapter 154 Growth of Human Pluripotent Stem Cells Using Functional Human Extracellular Matrix
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    Chapter 155 Genetic Manipulation of Human Embryonic Stem Cells
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    Chapter 224 Definitive Endoderm Differentiation of Human Embryonic Stem Cells Combined with Selective Elimination of Undifferentiated Cells by Methionine Deprivation
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    Chapter 244 Microarray Approach to Identify the Signaling Network Responsible for Self-Renewal of Human Embryonic Stem Cells.
Attention for Chapter 73: Genetic Modification in Human Pluripotent Stem Cells by Homologous Recombination and CRISPR/Cas9 System.
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Chapter title
Genetic Modification in Human Pluripotent Stem Cells by Homologous Recombination and CRISPR/Cas9 System.
Chapter number 73
Book title
Human Embryonic Stem Cell Protocols
Published in
Methods in molecular biology, March 2014
DOI 10.1007/7651_2014_73
Pubmed ID
Book ISBNs
978-1-4939-2667-1, 978-1-4939-2668-8
Authors

Xue H, Wu J, Li S, Rao MS, Liu Y, Haipeng Xue, Jianbo Wu, Shenglan Li, Mahendra S. Rao, Ying Liu, Xue, Haipeng, Wu, Jianbo, Li, Shenglan, Rao, Mahendra S., Liu, Ying

Abstract

Genetic modification is an indispensable tool to study gene function in normal development and disease. The recent breakthrough of creating human induced pluripotent stem cells (iPSCs) by defined factors (Takahashi et al., Cell 131:861-872, 2007) provides a renewable source of patient autologous cells that not only retain identical genetic information but also give rise to many cell types of the body including neurons and glia. Meanwhile, the rapid advancement of genome modification tools such as gene targeting by homologous recombination (Capecchi, Nat Rev Genet 6:507-512, 2005) and genome editing tools such as CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)/Cas (CRISPR-associated) system, TALENs (Transcription activator-like effector nucleases), and ZFNs (Zinc finger nucleases) (Wang et al., Cell 153:910-918, 2013; Mali et al., Science 339:823-826, 2013; Hwang et al., Nat Biotechnol 31:227-229, 2013; Friedland et al., Nat Methods 10(8):741-743, 2013; DiCarlo et al., Nucleic Acids Res 41:4336-4343, 2013; Cong et al., Science 339:819-823, 2013) has greatly accelerated the development of human genome manipulation at the molecular level. This chapter describes the protocols for making neural lineage reporter lines using homologous recombination and the CRISPR/Cas system-mediated genome editing, including construction of targeting vectors, guide RNAs, transfection into hPSCs, and selection and verification of successfully targeted clones. This method can be applied to various needs of hPSC genetic engineering at high efficiency and high reliability.

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Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Finland 1 <1%
China 1 <1%
Belgium 1 <1%
Unknown 115 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Researcher 28 23%
Student > Master 10 8%
Student > Bachelor 9 8%
Student > Postgraduate 8 7%
Other 21 18%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 39%
Biochemistry, Genetics and Molecular Biology 35 29%
Medicine and Dentistry 11 9%
Neuroscience 3 3%
Computer Science 2 2%
Other 9 8%
Unknown 13 11%