Literature DB >> 27476965

Epigenetic Variation between Human Induced Pluripotent Stem Cell Lines Is an Indicator of Differentiation Capacity.

Masatoshi Nishizawa1, Kazuhisa Chonabayashi1, Masaki Nomura2, Azusa Tanaka2, Masahiro Nakamura2, Azusa Inagaki2, Misato Nishikawa2, Ikue Takei2, Akiko Oishi2, Koji Tanabe2, Mari Ohnuki2, Hidaka Yokota2, Michiyo Koyanagi-Aoi2, Keisuke Okita2, Akira Watanabe3, Akifumi Takaori-Kondo4, Shinya Yamanaka5, Yoshinori Yoshida6.   

Abstract

Variation in the differentiation capacity of induced pluripotent stem cells (iPSCs) to specific lineages is a significant concern for their use in clinical applications and disease modeling. To identify factors that affect differentiation capacity, we performed integration analyses between hematopoietic differentiation performance and molecular signatures such as gene expression, DNA methylation, and chromatin status, using 35 human iPSC lines and four ESC lines. Our analyses revealed that hematopoietic commitment of PSCs to hematopoietic precursors correlates with IGF2 expression level, which in turn depends on signaling-dependent chromatin accessibility at mesendodermal genes. Maturation capacity for conversion of PSC-derived hematopoietic precursors to mature blood associates with the amount and pattern of DNA methylation acquired during reprogramming. Our study therefore provides insight into the molecular features that determine the differential capacities seen among human iPSC lines and, through the predictive potential of this information, highlights a way to select optimal iPSCs for clinical applications.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DNA methylation; chromatin accessibility; hematopoietic differentiation; human induced pluripotent stem cell; insulin-like growth factor 2; mRNA microarray; reprogramming-related DNA methylation

Mesh:

Substances:

Year:  2016        PMID: 27476965     DOI: 10.1016/j.stem.2016.06.019

Source DB:  PubMed          Journal:  Cell Stem Cell        ISSN: 1875-9777            Impact factor:   24.633


  83 in total

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