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Series GSE109712 Query DataSets for GSE109712
Status Public on Jan 28, 2018
Title Retinal Cell Type Epigenetic Memory Predicts Reprogramming Efficiency and Retinogenesis in 3D Organoid Cultures [ChIP-seq_Mm]
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Diverse cell types can be reprogrammed into pluripotent stem cells by ectopic expression of Oct4 (Pou5f1), Klf4, Sox3 and Myc. Many of these induced pluripotent stem cells (iPSCs) retain an epigenetic memory of their cellular origins and this in turn may bias their subsequent differentiation. Differentiated neurons are difficult to reprogram and there has not been a systematic side-by-side characterization of reprogramming efficiency or epigenetic memory across different neuronal subtypes. We have recently developed a new method for reprogramming retinal neurons and successfully reprogrammed rod photoreceptors from the murine retina. Here we extended our retinal reprogramming to cone photoreceptors, bipolar neurons, amacrine/horizontal cell interneurons and Müller glia at two different stages of development. We scored the efficiency of reprogramming across all 5 retinal cell types at each developmental stage and we measured retinal differentiation from each iPSC line using a quantitative standardized scoring system called STEM-RET. We discovered that the rod photoreceptors and bipolar neurons had the lowest reprogramming efficiency but iPSCs derived from rods and bipolar cells had the best retinal differentiation. Epigenetic memory was analyzed by characterizing DNA methylation and performing ChIP-seq for 8 histone marks, Brd4, PolII and CTCF. The epigenetic data were integrated with RNA-Seq data from each iPSC line. Retinal cell types with a greater epigenetic barrier to reprogramming (rods and bipolars) are more likely to retain epigenetic memory of their cellular origins. In addition, we identified biomarkers of iPSCs that are predictive of retinal differentiation. This work will have implications for selection of cell populations for cell based therapy and for using reprogramming of purified cell populations to advance our understanding of the role of the epigenome in normal differentiation.
 
Overall design Examination of 8 different histone modifications and 3 transcription factors, transcriptome, DNA methylation in 33 different iPSC cell lines along with mESC Eb5
 
Contributor(s) Wang L, Hiler D, Xu B, Aldiri I, Chen X, Griffiths L, Valentine M, Shirinifard A, Sablauer A, Thiagarajan S, Barabas M, Zhang J, Johnson D, Frase S, Dyer MA
Citation(s) 29514090
Submission date Jan 26, 2018
Last update date Mar 19, 2019
Contact name Beisi Xu
E-mail(s) beisi.xu@stjude.org
Organization name St Jude Children's Research Hosipital
Department Center for Applied Bioinformatics
Street address 262 Danny Thomas Pl
City Memphis
State/province Tennessee
ZIP/Postal code 38105
Country USA
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (332)
GSM2948932 BRD4-IPS-Rod_I_Y-8602
GSM2948933 BRD4-IPS-Bipo_I_Y-rM0401
GSM2948934 BRD4-IPS-Bipo_I_Y-rM0405
This SubSeries is part of SuperSeries:
GSE87064 The Dynamic Epigenetic Landscape of the Retina During Development, Reprogramming, and Tumorigenesis
Relations
BioProject PRJNA431783
SRA SRP131499

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Supplementary file Size Download File type/resource
GSE109712_RAW.tar 85.9 Gb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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