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Series GSE183684 Query DataSets for GSE183684
Status Public on Nov 16, 2021
Title Multi-omic Analysis of Developing Human Retina and Organoids Reveals Cell-Specific Cis-Regulatory Elements and Mechanisms of Non-Coding Genetic Disease Risk.
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary Cis-regulatory elements (CREs) play a critical role in the development, maintenance, and disease-states of all human cell types. In the human retina, CREs have been implicated in a variety of inherited retinal disorders. To characterize cell-class-specific CREs in the human retina and elucidate their potential functions in development and disease, we performed single-nucleus (sn)ATAC-seq and snRNA-seq on the developing and adult human retina and on human retinal organoids. These analyses allowed us to identify cell-class-specific CREs, enriched transcription factor binding motifs, putative target genes, and to examine how these features change over development. By comparing DNA accessibility between the human retina and retinal organoids we found that CREs in organoids are highly correlated at the single-cell level, validating the use of organoids as a model for studying disease-associated CREs. As a proof of concept, we studied the function of a disease-associated CRE at 5q14.3 in organoids, identifying its principal target gene as the miR-9-2 primary transcript and demonstrating a dual role for this CRE in regulating neurogenesis and gene regulatory programs in mature glia. This study provides a rich resource for characterizing cell-class-specific CREs in the human retina and showcases retinal organoids as a model in which to study the function of retinal CREs that influence retinal development and disease.
 
Overall design Single-nucleus ATAC-Seq and RNA-Seq of the adult and developing human retina and human iPSC-derived retinal organoids using the 10X Genomics library preparation reagents and workflow.
Web link https://doi.org/10.1016/j.celrep.2021.109994
 
Contributor(s) Cherry TJ, Thomas ED, Timms AE
Citation(s) 34788628, 35363247
Submission date Sep 08, 2021
Last update date Apr 19, 2022
Contact name David Beier
E-mail(s) david.beier@seattlechildrens.org
Organization name Seattle Children's Research Institute
Department CDBRM
Lab Beier Lab
Street address 1900 9th Avenue
City Seattle
State/province WA
ZIP/Postal code 98101
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (51)
GSM5567517 7wk/d53 [snATAC-seq]
GSM5567518 8wk/d59 [snATAC-seq]
GSM5567519 10wk/d74 [snATAC-seq]
Relations
BioProject PRJNA761679
SRA SRP336179

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE183684_RAW.tar 38.7 Gb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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