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Series GSE132080 Query DataSets for GSE132080
Status Public on Nov 18, 2019
Title Titrating gene expression with allelic series of CRISPR guide RNAs
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Cellular phenotypes arise from the degrees to which different genes are expressed, yet the ability to monitor these phenotypes is limited by a lack of tools to precisely control gene expression. We describe the development of allelic series of systematically compromised sgRNAs to titrate expression of human genes with CRISPR interference. Using large-scale measurements of compromised sgRNA activities, we both identify empirically validated intermediate-activity sgRNAs and derive the factors governing sgRNA activity using deep learning, enabling construction of a compact sgRNA library to titrate expression of ~2,400 essential genes and a genome-wide in silico library. Staging cells along a continuum of essential gene expression levels using sgRNA series combined with rich single-cell RNA-seq readout reveals expression threshold-specific responses and gene-specific expression-to-phenotype relationships. Our work provides a general tool to control gene expression with applications ranging from tuning of biochemical pathways to identification of suppressors for diseases of dysregulated gene expression.
 
Overall design Pooled CRISPR screening experiment with intermediate-activity sgRNAs conducted via Perturb-seq
 
Contributor(s) Jost M, Santos DA, Saunders RA, Weissman JS
Citation(s) 31932729
NIH grant(s)
Grant ID Grant title Affiliation Name
U01 CA168370 Bay Area Cancer Target Discovery and Development Network University of California San Francisco JONATHAN S. WEISSMAN
U01 CA217882 The Cancer Target Discovery and Development Network at UCSF University of California San Francisco JONATHAN S. WEISSMAN
F32 GM116331 Systematic Genome-Wide Characterization of Iron Homeostasis University of California San Francisco Marco Jost
K99 GM130964 Deciphering the logic of glycolipid signaling at the host-microbiome interface University of California San Francisco Marco Jost
RM1 HG009490 Center for Genome Editing and Recording UNIVERSITY OF CALIFORNIA BERKELEY JENNIFER A DOUDNA
Submission date Jun 03, 2019
Last update date Jan 15, 2020
Contact name Marco Jost
E-mail(s) marco_jost@hms.harvard.edu
Organization name Harvard Medical School
Street address 77 Ave Louis Pasteur, NRB848
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (6)
GSM3842207 Intermediate-activity sgRNA perturb-seq experiment (gemgroup1)
GSM3842208 Intermediate-activity sgRNA perturb-seq experiment (gemgroup2)
GSM3842209 Intermediate-activity sgRNA perturb-seq experiment (gemgroup3)
Relations
BioProject PRJNA545894
SRA SRP200150

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
GSE132080_10X_barcodes.tsv.gz 91.9 Kb (ftp)(http) TSV
GSE132080_10X_genes.tsv.gz 258.6 Kb (ftp)(http) TSV
GSE132080_10X_matrix.mtx.gz 335.9 Mb (ftp)(http) MTX
GSE132080_cell_identities.csv.gz 357.6 Kb (ftp)(http) CSV
GSE132080_sgRNA_barcode_sequences_and_phenotypes.csv.gz 4.4 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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