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Series GSE167518 Query DataSets for GSE167518
Status Public on Jun 30, 2021
Title Transcriptional-Regulatory Convergence Across Functional MDD Risk Variants Identified by Massively Parallel Reporter Assays [Expt2]
Organisms Escherichia coli; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Using Massively Parallel Reporter Assays (MPRAs), we functionally screened over 1,000 SNPs, prioritized from 39 neuropsychiatric trait/disease GWAS loci based on overlap with predicted regulatory features—including expression quantitative trait loci (eQTL) and histone marks—from human brains and cell cultures. Using mouse neuroblastoma Neuro2a (N2a) cells, we identify over 100 SNPs with allelic effects on expression. Functional SNPs were enriched for binding sequences of retinoic acid-receptive transcription factors (TFs); with additional allelic differences unmasked in cells treated with all-trans retinoic acid (ATRA). Motifs overrepresented at functional SNPs corresponded to a set of TFs highly specific to serotonergic neurons and collectively downregulated in schizophrenia. Our application of MPRAs to screen MDD-associated SNPs suggested a shared transcriptional regulatory program across loci, a subset of which are unmasked by retinoids. Additional code and results corresponding to this GEO submission can be found at https://bitbucket.org/jdlabteam/n2a_atra_mdd_mpra_paper/src Note that while paired-end sequencing was technically performed, only read 1 (i.e., the barcode-spanning read) of each pair was utilized for analysis, and thus only read 1 files are provided. (fastq files are processed as plain text using string-matching for stringent barcode identification, so header inconsistencies regarding single/paired end read design should not cause issues using our pipeline; however, if read 2 files are required to perform your own form of analysis, contact mulveyb@wustl.edu ; we are happy to provide them.)
 
Overall design n=6 replicates each of plasmid-transfected N2A cells, treated in culture with either 20µM all-trans retinoic acid (ATRA) or vehicle (100% DMSO).
Grants:
1. 5F30MH116654 - Bernard Mulvey - Identification and characterization of common, noncoding regulatory variants associated with Major Depressive Disorder - NIMH

2. 1R01MH116999 - Joseph Dougherty - Highly parallel analysis of 5' and 3' UTR variants in Autism Spectrum Disorders - NIMH

3. 571009 - Joseph Dougherty - Simons Foundation
 
Contributor(s) Mulvey B, Dougherty JD
Citation(s) 34294677
NIH grant(s)
Grant ID Grant title Affiliation Name
F30 MH116654 Identification and characterization of common, noncoding regulatory variants associated with Major Depressive Disorder. WASHINGTON UNIVERSITY Bernard John Mulvey
R01 MH116999 Highly parallel analysis of 5' and 3' UTR variants in Autism Spectrum Disorders WASHINGTON UNIVERSITY JOSEPH D DOUGHERTY
Submission date Feb 25, 2021
Last update date Aug 11, 2021
Contact name Joseph Dougherty
E-mail(s) mulveyb@wustl.edu, jdougherty@wustl.edu, berniejmulvey@gmail.com
Organization name Washington University in St. Louis
Department Genetics
Lab Dougherty
Street address 660 S Euclid Ave, Campus Box 8232
City St. Louis
State/province MO
ZIP/Postal code 63110
Country USA
 
Platforms (2)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
GPL25368 Illumina NovaSeq 6000 (Escherichia coli)
Samples (13)
GSM5106543 Vehicle Treated, Replicate 1
GSM5106544 Vehicle Treated, Replicate 2
GSM5106545 Vehicle Treated, Replicate 3
This SubSeries is part of SuperSeries:
GSE167519 Transcriptional-Regulatory Convergence Across Functional MDD Risk Variants Identified by Massively Parallel Reporter Assays
Relations
BioProject PRJNA704847
SRA SRP308183

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
GSE167518_Reference-Barcode_Sequences__their_paired_internal_identifiers__and_the_corresponding_sequence_placed_upstream_of_min_promoter.txt.gz 1.3 Mb (ftp)(http) TXT
GSE167518_Unfiltered_Barcode_Counts-N2A_Experiment_2_ATRA_and_Veh_conditions_.txt.gz 728.6 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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