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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 109: Characterizing Pluripotent Stem Cells Using the TaqMan® hPSC ScorecardTM Panel
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Chapter title
Characterizing Pluripotent Stem Cells Using the TaqMan® hPSC ScorecardTM Panel
Chapter number 109
Book title
Human Embryonic Stem Cell Protocols
Published in
Methods in molecular biology, August 2014
DOI 10.1007/7651_2014_109
Pubmed ID
Book ISBNs
978-1-4939-2667-1, 978-1-4939-2668-8
Authors

Jeffrey Fergus, Rene Quintanilla, Uma Lakshmipathy, Fergus, Jeffrey, Quintanilla, Rene, Lakshmipathy, Uma

Abstract

Rapid technological developments for the efficient generation of footprint-free induced pluripotent stem cells (iPSC) enabled the creation of patient-specific iPSC for downstream applications in drug discovery and regenerative medicine. However, the large number of iPSCs, generated from diverse genetic backgrounds using various methods and culture conditions, created a steep challenge for rapid characterization and a demand for standardized methods. Current methods rely on a combination of in vitro and in vivo cellular analyses based on the expression of markers of self-renewal and the ability of the cells to differentiate into cell types representative of the three germ layers as a confirmation of functional pluripotency. These methods, though informative and extensively used, are not ideal for parallel analyses of large numbers of samples and hence not amenable to high-throughput environments. Recently, genetic and epigenetic expression signatures were used to define and confirm cell states, thus providing a surrogate molecular assay that can potentially replace complex in vivo cellular assays such as teratoma formation.In this chapter, we describe a molecular assay for rapid characterization and standardization of pluripotent stem cells. The TaqMan(®) hPSC Scorecard™ Panel is a comprehensive gene expression real-time PCR assay that consists of 94 individual q-PCR assays comprised of a combination of control, housekeeping, self-renewal, and lineage-specific genes. The resulting expression data set is analyzed using cloud-based analysis software that compares the expression pattern against a reference standard composed of multiple functionally validated ESC and iPSC lines. This system was successfully used to test several ESC and iPSC lines in their undifferentiated states to confirm their signatures of self renewal, as well as their terminally differentiates states, via spontaneous differentiation and directed differentiation into specific lineages, to determine the lines' differentiation potential. This genetic analysis tool, together with the flexibility to utilize varying sample inputs and preparation methods, provides a rapid method to confirm functional pluripotency of ESCs and iPSCs.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Canada 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 38%
Researcher 4 13%
Student > Bachelor 3 9%
Student > Master 3 9%
Professor 1 3%
Other 2 6%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 28%
Biochemistry, Genetics and Molecular Biology 8 25%
Engineering 3 9%
Chemical Engineering 1 3%
Chemistry 1 3%
Other 1 3%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2014.
All research outputs
#17,724,588
of 22,760,687 outputs
Outputs from Methods in molecular biology
#7,189
of 13,088 outputs
Outputs of similar age
#158,602
of 235,512 outputs
Outputs of similar age from Methods in molecular biology
#29
of 78 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.