Gene Set: RUNNE_GENDER_EFFECT_UP

Standard name RUNNE_GENDER_EFFECT_UP
Systematic name M17072
Brief description Up-regulated genes detecting gender effects in global expression profiling studies.
Full description or abstract Highly quantitative biomarkers of neurodegenerative disease remain an important need in the urgent quest for disease-modifying therapies. For Huntington's disease (HD), a genetic test is available (trait marker), but necessary state markers are still in development. In this report, we describe a large battery of transcriptomic tests explored as state biomarker candidates. In an attempt to exploit the known neuroinflammatory and transcriptional perturbations of disease, we measured relevant mRNAs in peripheral blood cells. The performance of these potential markers was weak overall, with only one mRNA, immediate early response 3 (IER3), showing a modest but significant increase of 32% in HD samples compared with controls. No statistically significant differences were found for any other mRNAs tested, including a panel of 12 RNA biomarkers identified in a previous report [Borovecki F, Lovrecic L, Zhou J, Jeong H, Then F, Rosas HD, Hersch SM, Hogarth P, Bouzou B, Jensen RV, et al. (2005) Proc Natl Acad Sci USA 102:11023-11028]. The present results may nonetheless inform the future design and testing of HD biomarker strategies.
Collection C2: curated gene sets
      CGP: chemical and genetic perturbations
Source publication Pubmed 17724341   Authors: Runne H,Kuhn A,Wild EJ,Pratyaksha W,Kristiansen M,Isaacs JD,Régulier E,Delorenzi M,Tabrizi SJ,Luthi-Carter R
Exact source Table 2, 5S
Related gene sets (show 19 gene sets from the same authors)
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Organism Homo sapiens
Contributed by Arthur Liberzon (Broad Institute)
Source platform HG-U133_Plus_2
Dataset references (show 1 datasets)
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Compendia expression profiles Human tissue compendium (Novartis)
NCI-60 cell lines (National Cancer Institute)
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Version history 3.0: First introduced

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