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Series GSE150510 Query DataSets for GSE150510
Status Public on May 14, 2020
Title Combining multi-omics and drug perutbation profiles to identify novel treatments that improve disease phenotypes in spinal muscular atrophy [RNA-seq]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We used an in-depth and parallel approach combining proteomics, transcriptomics and the drug pertubational dataset Connectivity Map (CMap) to identify differentially expressed (DE) transcripts and proteins in skeletal muscle of the severe Taiwanese Smn‍-‍/‍-‍;SMN2‍ SMA mice that could potentially be restored by known and available pharmacological compounds. This strategy uncovered several potential therapeutic candidates, including harmine, which was further evaluated in cell and animal models, showing an ability to restore molecular networks and improve several disease phenotypes, including SMN expression and lifespan.
 
Overall design Examination of harmine treatment effect by comparison of three untreated SMA mice, three treated SMA mice, three untreated control mice and three treated control mice.
 
Contributor(s) Meijboom KE, Volpato V, Monzón-Sandoval J, Hoolachan JM, Hammond SM, Abendroth F, Gerrit de Jong O, Hazell G, Ahlskog N, Wood MJ, Webber C, Bowerman M
Citation(s) 34236053
Submission date May 13, 2020
Last update date Sep 14, 2021
Contact name Viola Volpato
E-mail(s) volpatov@cardiff.ac.uk
Organization name Cardiff University
Department UK DRI
Street address Maindy Rd
City Cardiff
ZIP/Postal code CF24 4HQ
Country United Kingdom
 
Platforms (1)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (12)
GSM4551572 SMA_treated_rep1
GSM4551573 SMA_treated_rep2
GSM4551574 SMA_treated_rep3
This SubSeries is part of SuperSeries:
GSE150563 Combining multi-omics and drug perutbation profiles to identify novel treatments that improve disease phenotypes in spinal muscular atrophy
Relations
BioProject PRJNA632614
SRA SRP261500

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE150510_Raw_gene_counts_matrix.txt.gz 571.8 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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