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Series GSE137846 Query DataSets for GSE137846
Status Public on Sep 23, 2019
Title Single-cell Transcriptomic Atlas of the Human Retina Identifies Cell Types Associated with Age-Related Macular Degeneration [Seq-Well]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Here we perform massively parallel single-cell RNA sequencing (scRNA-seq) of human retinas using two independent platforms, and report the single-cell transcriptomic atlas of the human retina. Using a multi-resolution network-based analysis, we identify all major retinal cell types, and their corresponding gene expression signatures. 
 
Overall design Refer to individual series
 
Contributor(s) Menon M, Mohammadi S, Davila-Velderrain J, Goods BA, Cadwell TD, Xing Y, Stemmer RA, Shalek AK, Love JC, Kellis K, Hafler BP
Citation(s) 31653841
Submission date Sep 23, 2019
Last update date Nov 04, 2019
Contact name Brian Hafler
E-mail(s) brian.hafler@yale.edu
Organization name Yale School of Medicine
Street address 300 George Street
City New Haven
State/province Connecticut
ZIP/Postal code 06511
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (5)
GSM4089762 Macula retina 6hr Seq-Well
GSM4089763 Peripheral retina 6hr Seq-Well
GSM4089764 Macula retina 8hr Seq-Well
This SubSeries is part of SuperSeries:
GSE137847 Single-cell Transcriptomic Atlas of the Human Retina Identifies Cell Types Associated with Age-Related Macular Degeneration
Relations
BioProject PRJNA573659
SRA SRP222958

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
GSE137846_Seq-Well_counts.mtx.gz 16.4 Mb (ftp)(http) MTX
GSE137846_Seq-Well_gene_names.txt.gz 48.4 Kb (ftp)(http) TXT
GSE137846_Seq-Well_sample_annotations.txt.gz 577.2 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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