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Series GSE10953 Query DataSets for GSE10953
Status Public on Mar 27, 2008
Title Cellular pathways involved in the adaptation and progression of motor neuron injury in the mouse model of familial ALS
Organism Mus musculus
Experiment type Expression profiling by array
Summary Microarray analysis has been applied to the study of ALS in order to investigate gene expression in whole spinal cord homogenates of SOD1 G93A mice and human ALS cases, although the massive presence of glial cells and inflammatory factors has made it difficult to define which gene expression changes were motor neuron specific. Recently, laser capture microdissection (LCM), combined with microarray analysis, has allowed the identification of motor neuron specific changes in gene expression in human ALS cases.
The aim of the present study is to combine LCM and microarray analysis to study how motor neurons in the spinal cord of transgenic SOD1 G93A mice and transgenic SOD1 WT respond to stimuli determined by the presence of the human mutant protein throughout the evolution of the stages in motor neuron injury
Keywords: Murine motor neurons
 
Overall design Motor neurons have been isolated from the spinal cord of G93A mice and non transgenic littermates at different time points and the transcription expression profile of the isolated motor neurons has been analysed
 
Contributor(s) Ferraiuolo L, Heath P, Holden H, Kasher P, Kirby J, Shaw PJ
Citation(s) 17715356
Submission date Mar 26, 2008
Last update date Jan 08, 2019
Contact name Paul Roy Heath
E-mail(s) p.heath@sheffield.ac.uk
Phone +44 114 2222254
Organization name University of Sheffield
Department Academic Neurology Unit
Lab Heath
Street address SITraN, 385a Glossop Road
City Sheffield
State/province S. Yorks
ZIP/Postal code S10 2HQ
Country United Kingdom
 
Platforms (1)
GPL339 [MOE430A] Affymetrix Mouse Expression 430A Array
Samples (18)
GSM277558 G93A 60 days sample 1
GSM277559 G93A 60 days sample 2
GSM277560 G93A 60 days sample 3
Relations
BioProject PRJNA107147

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Supplementary file Size Download File type/resource
GSE10953_RAW.tar 37.7 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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