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Sample GSM4096908 Query DataSets for GSM4096908
Status Public on Dec 25, 2019
Title H1.iBMEC.Day 3
Sample type SRA
 
Source name hPSC-Derived
Organism Homo sapiens
Characteristics cell type: hPSC-Derived cell
differentiation condition: n/a
Growth protocol Cells were grown in 10cm coated tissue culture dishes using media specific for each cell type.
Extracted molecule total RNA
Extraction protocol A single-cell suspension was loaded into the Bio-Rad ddSEQ Single-Cell Isolator on which cells were isolated, lysed and barcoded in droplets.
Libraries were generated with direct tagmentation followed by 3’ enrichment and sample indexing using Illumina Nextera library prep kit.
ddSeq
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model NextSeq 550
 
Data processing Analyses were performed using the Seurat package in R (version 3.0.3). 
UMI counts files that had been knee-filtered were downloaded from the Illumina BaseSpace Sequence Hub.
Following best practices in the package suggestions UMI counts were log-normalized and after the most highly variable genes selected the data matrices were scaled using a linear model with variation arising from UMI counts mitigated for. 
Principal component analysis was subsequently performed on this matrix and after reviewing principal component heatmaps and jackstraw plots Uniform Manifold Approximation and Projection (UMAP) visualization was performed using the top 30 components and clustering resolution was set at 0.8.  
 
Submission date Sep 25, 2019
Last update date Dec 26, 2019
Contact name Tyler Lu
E-mail(s) [email protected]
Phone 9089383803
Organization name Weill Cornell Medicine
Street address 1300 York Avenue
City New York
State/province New York
ZIP/Postal code 10065
Country USA
 
Platform ID GPL21697
Series (1)
GSE138025 Vascular fate in misidentified pluripotent-derived blood-brain-barrier endothelial cells rescued by transcriptional reprogramming.
Relations
BioSample SAMN12846510
SRA SRX6907059

Supplementary file Size Download File type/resource
GSM4096908_Tyler_iBMEC_D3_S1.counts.umiCounts.csv.gz 24.5 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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