Parsing Stem Cell Lineage Development Using High Content Image Analysis of Epigenetic Spatial Markers | Zendy

Kim Joseph J. | Zendy; Moghe Prabhas V. | Zendy

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Parsing Stem Cell Lineage Development Using High Content Image Analysis of Epigenetic Spatial Markers

Author(s) -

Kim Joseph J.,

Moghe Prabhas V.

Publication year - 2018

Publication title -

current protocols in stem cell biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.658

H-Index - 28

eISSN - 1938-8969

pISSN - 1941-7322

DOI - 10.1002/cpsc.54

Subject(s) - biology , epigenetics , stem cell , induced pluripotent stem cell , stem cell marker , cell type , mesenchymal stem cell , computational biology , microbiology and biotechnology , epigenomics , cellular differentiation , cell , high content screening , genetics , embryonic stem cell , gene , gene expression , dna methylation

This unit describes a protocol for acquiring and analyzing high‐content super‐resolution images of human stem cell nuclei for the characterization and classification of the cell differentiation paths based on distinct patterns of epigenetic mark organization. Here, we describe the cell culture, immunocytochemical labeling, super‐resolution imaging parameters, and MATLAB‐based quantitative image analysis approaches for monitoring human mesenchymal stem cells (hMSCs) and human induced pluripotent stem cells (hiPSCs) as the cells differentiate towards various lineages. Although this protocol uses specific cell types as examples, this approach could be easily extended to a variety of cell types and nuclear epigenetic and mechanosensitive biomarkers that are relevant to specific cell developmental scenarios. © 2018 by John Wiley & Sons, Inc.

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