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Status |
Public on Dec 05, 2019 |
Title |
Massively multiplex chemical transcriptomics at single cell resolution |
Organisms |
Homo sapiens; Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Single-cell RNA-seq libraries were generated using two and three level single-cell combinatorial indexing RNA sequencing (sci-RNA-seq) of untreated or small molecule inhibitor exposed HEK293T, NIH3T3, A549, MCF7 and K562 cells. Different cells and different treatment were hashed and pooled prior to sci-RNA-seq using a nuclear barcoding strategy. This nuclear barcoding strategy relies on fixation of barcode containing well-specific oligos that are specific to a given cell type, replicate or treatment condition.
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Overall design |
Single-cell RNA-seq libraries were generated using two and three level single-cell combinatorial indexing RNA sequencing (sci-RNA-seq) of untreated or small molecule inhibitor exposed HEK293T, NIH3T3, A549, MCF7 and K562 cells. Different cells and different treatment were hashed and pooled prior to sci-RNA-seq using a nuclear barcoding strategy. This nuclear barcoding strategy relies on fixation of barcode containing well-specific oligos that are specific to a given cell type, replicate or treatment condition.
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Contributor(s) |
Srivatsan S, McFaline-Figueroa JL, Ramani V, Saunders L, Cao J, Packer J, Pliner HA, Jackson D, Daza RM, Christiansen L, Zhang F, Steemers F, Shendure J, Trapnell C |
Citation(s) |
31806696 |
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Submission date |
Nov 05, 2019 |
Last update date |
Apr 13, 2020 |
Contact name |
José L McFaline-Figueroa |
E-mail(s) |
[email protected], [email protected]
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Organization name |
Columbia University
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Department |
Biomedical Engineering
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Street address |
500W 120th st.
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City |
New York |
State/province |
NY |
ZIP/Postal code |
10033 |
Country |
USA |
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Platforms (3) |
GPL21697 |
NextSeq 550 (Homo sapiens) |
GPL24625 |
NextSeq 550 (Homo sapiens; Mus musculus) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (4)
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Relations |
BioProject |
PRJNA587707 |
SRA |
SRP228591 |
Supplementary file |
Size |
Download |
File type/resource |
GSE139944_RAW.tar |
9.2 Gb |
(http)(custom) |
TAR (of MATRIX, RDS, TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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