Literature DB >> 25520284

Generation and Characterization of Patient-Specific Induced Pluripotent Stem Cell for Disease Modeling.

Renuka Sivapatham1, Xianmin Zeng2.   

Abstract

One major hurdle to the development of effective treatments to many diseases is the lack of suitable human model systems. The ability to reprogram human somatic cells to induced pluripotent stem cells (iPSC) offers an excellent opportunity to generate human disease models with primary cells. Currently, several methods to generate iPSC lines exist, and iPSC can be generated from various tissue sources including skin fibroblasts, blood, hair follicles, dental tissue, and urine. In this chapter we describe the generation and characterization of iPSC from blood or fibroblast on a routine base and focus on the integration-free methodologies.

Entities:  

Keywords:  Disease modeling; Integration-free; Parkinson’s disease; iPSC

Mesh:

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Year:  2016        PMID: 25520284     DOI: 10.1007/7651_2014_157

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Three-dimensional Quantification of Dendritic Spines from Pyramidal Neurons Derived from Human Induced Pluripotent Stem Cells.

Authors:  Laura Gouder; Jean-Yves Tinevez; Hany Goubran-Botros; Alexandra Benchoua; Thomas Bourgeron; Isabelle Cloëz-Tayarani
Journal:  J Vis Exp       Date:  2015-10-10       Impact factor: 1.355

2.  Small-scale Propagation of Human iPSCs in Serum-free Conditions for Routine Immunocytochemical Characterization.

Authors:  Mandi J Corenblum; Lalitha Madhavan
Journal:  J Vis Exp       Date:  2017-02-18       Impact factor: 1.355

Review 3.  Cerebellar Development and Autism Spectrum Disorder in Tuberous Sclerosis Complex.

Authors:  Maria Sundberg; Mustafa Sahin
Journal:  J Child Neurol       Date:  2015-08-24       Impact factor: 1.987

4.  The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming.

Authors:  Hanshuang Li; Na Ta; Chunshen Long; Qiutang Zhang; Siyu Li; Shuai Liu; Lei Yang; Yongchun Zuo
Journal:  Comput Struct Biotechnol J       Date:  2019-09-11       Impact factor: 7.271

  4 in total

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