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Series GSE217689 Query DataSets for GSE217689
Status Public on Dec 12, 2022
Title Multiplex profiling of developmental enhancers with quantitative, single-cell expression reporters [scQer_promoters_cell_lines]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The inability to scalably and precisely measure the cell-type-specific activity of developmental enhancers is a bottleneck in genomics. To address this, we developed a “dual RNA”' system that decouples the detection and quantification tasks inherent to multiplex single-cell reporter assays. Together with RNA barcode circularization, the resulting single-cell quantitative expression reporters (scQers) facilitate the robust detection of which reporter(s) are present in which single cells, thereby providing high contrast readouts analogous to classic in situ assays but entirely from sequencing. Our dual RNA strategy extends the range of expression measurement into a regime fundamentally inaccessible with traditional multiplex reporter systems, yielding an accurate readout of mRNA levels spanning four orders of magnitude and a precision approaching the limit set by Poisson (shot) noise. As a proof-of-concept experiment, we profile over two hundred putative developmental cis-regulatory elements (CREs) for cell-type-specific activity in a multicellular in vitro model of early mammalian development, identifying dozens of active elements, ten of which function in an autonomous, cell-type-specific manner. These include constituents of the canonical Sox2 control region, exclusively active in pluripotent cells, multiple parietal endoderm-specific enhancers, including at the Foxa2 and Gata4 loci, and a compact pleiotropic enhancer at the Lamc1 locus. Looking forward, we envision that scQers will be broadly useful in developmental systems to quantitatively profile the activity of native, perturbed, or synthetic enhancers at scale, with high sensitivity and at single cell resolution.
 
Overall design Single-cell reporter on mix of K562, HEK293T, HepG2 cells with high MOI genome-integrated dual RNA reporters (promoter series) in biological duplicates. Gene expression and custom oBC, mBC libraries

Experient type (submitter-provided): single-cell RNA-seq with expression reporters
 
Contributor(s) Lalanne J, Regalado SG, Domcke S, Li T, Martin B, Calderon D, Suiter CC, Trapnell C, Shendure J
Citation(s) 38724692
Submission date Nov 10, 2022
Last update date Jun 28, 2024
Contact name Jean-Benoit Lalanne
E-mail(s) lalannej@uw.edu
Organization name University of Washington
Department Genome Sciences
Lab Jay Shendure
Street address 3720 15th Ave NE
City Seattle
State/province WA
ZIP/Postal code 98195
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (15)
GSM6725084 sc_rep_promoter_series_GEx_repA
GSM6725085 sc_rep_promoter_series_GEx_repB1
GSM6725086 sc_rep_promoter_series_GEx_repB2
This SubSeries is part of SuperSeries:
GSE217690 Multiplex profiling of developmental enhancers with quantitative, single-cell expression reporters
Relations
BioProject PRJNA900150

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
GSE217689_GEx_obj_sc_rep_promoter_series.RDS.gz 1.6 Gb (ftp)(http) RDS
GSE217689_assigned_oBC_CRE_mBC_joined_counts_sc_rep_promoter_series.txt.gz 1.2 Mb (ftp)(http) TXT
GSE217689_mBC_CS2_counts_sc_rep_promoter_series.txt.gz 405.1 Kb (ftp)(http) TXT
GSE217689_mBC_poly_dT_counts_sc_rep_promoter_series.txt.gz 1.5 Mb (ftp)(http) TXT
GSE217689_oBC_counts_sc_rep_promoter_series.txt.gz 1.7 Mb (ftp)(http) TXT
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Processed data are available on Series record

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