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Patient-Specific Induced Pluripotent Stem Cell Models

Overview of attention for book
Cover of 'Patient-Specific Induced Pluripotent Stem Cell Models'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 157 Patient-Specific Induced Pluripotent Stem Cell Models
  3. Altmetric Badge
    Chapter 165 Patient-Specific Induced Pluripotent Stem Cell Models: Characterization of iPS Cell-Derived Cardiomyocytes.
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    Chapter 166 Patient-Specific Induced Pluripotent Stem Cell Models
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    Chapter 167 Modeling Axonal Phenotypes with Human Pluripotent Stem Cells.
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    Chapter 168 In Vitro Modeling of Alcohol-Induced Liver Injury Using Human-Induced Pluripotent Stem Cells.
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    Chapter 169 Modeling Genomic Imprinting Disorders Using Induced Pluripotent Stem Cells.
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    Chapter 170 Generation of Patient-Specific induced Pluripotent Stem Cell from Peripheral Blood Mononuclear Cells by Sendai Reprogramming Vectors.
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    Chapter 171 Using Human Induced Pluripotent Stem Cells to Model Skeletal Diseases
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    Chapter 172 Patient-Specific Induced Pluripotent Stem Cell Models: Generation and Characterization of Cardiac Cells.
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    Chapter 173 Generation of Cardiomyocytes from Pluripotent Stem Cells.
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    Chapter 178 Patient-Specific Induced Pluripotent Stem Cell Models
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    Chapter 179 A Doxycycline-Inducible System for Genetic Correction of iPSC Disease Models.
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    Chapter 194 Multisystemic Disease Modeling of Liver-Derived Protein Folding Disorders Using Induced Pluripotent Stem Cells (iPSCs).
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    Chapter 195 Patient-Specific Induced Pluripotent Stem Cell Models
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    Chapter 196 Patient-Specific Induced Pluripotent Stem Cell Models
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    Chapter 204 Generation of Integration-Free Patient Specific iPS Cells Using Episomal Plasmids Under Feeder Free Conditions.
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    Chapter 205 Generation of Human Induced Pluripotent Stem Cells Using RNA-Based Sendai Virus System and Pluripotency Validation of the Resulting Cell Population.
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    Chapter 225 Patient-Specific Induced Pluripotent Stem Cell Models
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    Chapter 257 Directed Myogenic Differentiation of Human Induced Pluripotent Stem Cells.
  21. Altmetric Badge
    Chapter 258 Generation and Characterization of Induced Pluripotent Stem Cells from Patients with mtDNA Mutations.
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    Chapter 267 Patient-Specific Induced Pluripotent Stem Cell Models
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    Chapter 273 Generation and Characterization of Patient-Specific iPSC Model for Cardiovascular Disease.
  24. Altmetric Badge
    Chapter 278 Transgene-Free Disease-Specific iPSC Generation from Fibroblasts and Peripheral Blood Mononuclear Cells.
Attention for Chapter 273: Generation and Characterization of Patient-Specific iPSC Model for Cardiovascular Disease.
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Chapter title
Generation and Characterization of Patient-Specific iPSC Model for Cardiovascular Disease.
Chapter number 273
Book title
Patient-Specific Induced Pluripotent Stem Cell Models
Published in
Methods in molecular biology, July 2015
DOI 10.1007/7651_2015_273
Pubmed ID
26126449
Book ISBNs
978-1-4939-3033-3, 978-1-4939-3034-0
Authors

Lee, Yee Ki, Ran, X, Lai, K W H, Lau, V Y M, Siu, D C W, Tse, H F, Yee Ki Lee, X. Ran, K. W. H. Lai, V. Y. M. Lau, D. C. W. Siu, H. F. Tse, Ran, X., Lai, K. W. H., Lau, V. Y. M., Siu, D. C. W., Tse, H. F.

Editors

Andras Nagy, Kursad Turksen

Abstract

Advances in differentiation of cardiomyocytes from human induced pluripotent stem cell (hiPSC) were emerged as a tool for modeling of cardiovascular disease that recapitulates the phenotype for the purpose of drug screening, biomarker discovery, and testing of single-nucleotide polymorphism (SNP) as a modifier for disease stratification. Here, we describe the (1) retroviral reprogramming strategies in the generation of human iPSC, (2) methodology in characterization of iPSC in order to identify the stem cell clones with the best quality, and (3) protocol of cardiac differentiation by modulation of Wnt signaling and β-catenin pathway.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 33%
Student > Ph. D. Student 4 22%
Other 2 11%
Researcher 2 11%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 50%
Medicine and Dentistry 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Nursing and Health Professions 1 6%
Immunology and Microbiology 1 6%
Other 1 6%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 August 2016.
All research outputs
#14,818,336
of 22,816,807 outputs
Outputs from Methods in molecular biology
#4,692
of 13,121 outputs
Outputs of similar age
#144,858
of 263,437 outputs
Outputs of similar age from Methods in molecular biology
#6
of 28 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,121 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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 64% of its contemporaries.

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