Human Embryoid Body Transcriptomes Reveal Maturation Differences Influenced by Size and Formation in Custom Microarrays
Transcriptomics Dataset
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General Information
AccessionGSE74792
TitleHuman Embryoid Body Transcriptomes Reveal Maturation Differences Influenced by Size and Formation in Custom Microarrays
DescriptionStem cell differentiation strategies and optimization for generating lineage-specific cells and tissues most frequently rely on a three-dimensional embryoid body (EB) intermediate. We previously applied nanotechnology tools of photolithography to generate custom microarrays that allow high throughput uniform formation of EBs of custom size for precise downstream analysis. Formation of EBs of 200 or 500 micron size revealed distinct morphological differences that are single or multicystic cores, respectively, independent of method of formation from single cells or two-dimensional (2D) clusters. Here we utilize photolithographic array generated EBs to obtain 3D cultures under a standardized platform for transcriptome analysis to compare EB size and the method of EB formation from single cells or mechanically passaged 2D clusters. Our analysis evaluates RNA expression in EBs formed from the human embryonic stem cell (hESC) line WA09 and from ethnically diverse human induced pluripotent stem cell lines (ED-iPSC) of African American and Hispanic Latino ethnicity recently derived in our laboratory. This is the first comprehensive study on EB transcriptomes including multiple size parameters, EB formation methodologies, and ethnicities. Our analysis indicates upregulation of genes involved in wound healing for mechanically passaged cells and of genes for embryonic tube formation in 500 micron multicystic EBs. We propose that EB maturation may be a longer process then previously realized. In addition, the type or extent of maturation possible may be influenced by EB size, with larger EBs capable of more extensive remodeling as revealed by multicystic morphology and initiation of early tube formation pathways while retaining pluripotency status. We anticipate that this information will be broadly useful to the stem cell and bioengineering communities in optimization of tissue engineering with pluripotent stem cells and understanding sources of variation.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE74792
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE74792
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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