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Series GSE100866 Query DataSets for GSE100866
Status Public on Jul 31, 2017
Title CITE-seq: Large scale simultaneous measuremnt of epitopes and transcriptomes in single cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Recent high-throughput single-cell sequencing approaches have been transformative for understanding complex cell populations, but are unable to provide additional phenotypic information, such as protein levels of cell-surface markers. Using oligonucleotide-labeled antibodies, we integrate measurements of cellular proteins and transcriptomes into an efficient, sequencing-based readout of single cells. This method is compatible with existing single-cell sequencing approaches and will readily scale as the throughput of these methods increase.
Overall design Cord blood mononuclear cells were profiled by CITE-seq using a panel of 13 antibodies.
Contributor(s) Stoeckius M
Citation(s) 35017482
Submission date Jul 06, 2017
Last update date Jan 28, 2022
Contact name Marlon Stoeckius
Organization name New York Genome Center
Department Innovation Lab
Street address 101 Avenue of the Americas
City New York
State/province New York
ZIP/Postal code 10013
Country USA
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (12)
GSM2695379 ADT: CBMC_8K_13AB_10x
GSM2695380 RNA: CBMC_8K_13AB_10x
GSM2695381 ADT: PBMC_vs_flow_10x
BioProject PRJNA393315
SRA SRP111194

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Supplementary file Size Download File type/resource
GSE100866_CBMC_8K_13AB_10X-ADT_clr-transformed.csv.gz 945.1 Kb (ftp)(http) CSV
GSE100866_CBMC_8K_13AB_10X-ADT_umi.csv.gz 189.8 Kb (ftp)(http) CSV
GSE100866_CBMC_8K_13AB_10X-RNA_umi.csv.gz 14.2 Mb (ftp)(http) CSV
GSE100866_CD8_merged-ADT_clr-transformed.csv.gz 58.4 Kb (ftp)(http) CSV
GSE100866_CD8_merged-ADT_umi.csv.gz 19.3 Kb (ftp)(http) CSV
GSE100866_CD8_merged-RNA_umi.csv.gz 1.4 Mb (ftp)(http) CSV
GSE100866_PBMC_vs_flow_10X-ADT_clr-transformed.csv.gz 466.9 Kb (ftp)(http) CSV
GSE100866_PBMC_vs_flow_10X-ADT_umi.csv.gz 129.4 Kb (ftp)(http) CSV
GSE100866_PBMC_vs_flow_10X-RNA_umi.csv.gz 10.1 Mb (ftp)(http) CSV
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