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Series GSE89136 Query DataSets for GSE89136
Status Public on Sep 25, 2017
Title Loss of imprinting mutations define both distinct and overlapping roles for misexpression of IGF2 and H19 lncRNA
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Imprinted genes occur in discrete clusters that are coordinately regulated by shared DNA elements. H19 and Igf2 are linked imprinted genes that play critical roles in development. Loss of imprinting at the IGF2/H19 locus is associated with Beckwith Wiedemann Syndrome (BWS). Here we use comprehensive genetic and genomic analyses to follow muscle development in a mouse model of BWS to dissect the separate and shared roles for Igf2 and H19 in the disease phenotype. We show that LOI results in defects in muscle differentiation and hypertrophy and we identify primary downstream targets of Igf2 (MAPK signaling) and of H19 (AKT/mTOR signaling). Moreover, we demonstrate instances where H19 and Igf2 misexpression work separately, cooperatively, and also antagonistically to establish the disease phenotype. This study underscores the fact that LOI phenotypes are multigenic and complex interactions contribute to disease outcomes.
 
Overall design Total of 13 samples analyzed; RNA-Seq samples from 2 genotypes: wild type and dICR/dICR, 2 cell types: myoblasts and myotubes, 2-3 replicates each.
 
Contributor(s) Mitra A, Park KS, Kim K, Pfeifer K
Citation(s) 29244185
Submission date Oct 24, 2016
Last update date May 15, 2019
Contact name Apratim Mitra
E-mail(s) apratim.mitra@nih.gov
Phone 3014020676
Organization name NICHD
Department Division of Developmental Biology
Lab Section on Genomic Imprinting
Street address 6 Center Dr Building 6B Room 2B206
City Bethesda
State/province MD
ZIP/Postal code 20892
Country USA
 
Platforms (2)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
GPL15907 AB 5500xl Genetic Analyzer (Mus musculus)
Samples (13)
GSM2359422 myoblast_wt_1
GSM2359423 myoblast_wt_2
GSM2359424 myoblast_wt_3
Relations
BioProject PRJNA350351
SRA SRP092014

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Supplementary file Size Download File type/resource
GSE89136_raw_counts_genes.txt.gz 451.9 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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