Abstract
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To cite this version: Serge Nataf, Laurent Pays
To further elucidate the genomic impact of a C9orf72 gain-of-function, we performed a gene co-expression analysis using the open source bioinformatics tool Multi Experiment Matrix (MEM) [1] that covers a large set of human transcriptomic data (n = 1794) on the same expression array platform (Affymetrix HG-U133_Plus_2)
This approach allowed us to identify the 100 mRNA species that are overall the most positively correlated with C9orf72 mRNA levels and, the 100 mRNA species that are the most inversely correlated with C9orf72 mRNA levels
Summary
To cite this version: Serge Nataf, Laurent Pays. Gene co-expression analysis unravels a link between C9orf72 and RNA metabolism in myeloid cells. Gain-of-function of C9orf72, at the mRNA and/or protein level, is currently considered as a major mechanism of neurodegeneration in these patients [2, 5, 7]. To further elucidate the genomic impact of a C9orf72 gain-of-function, we performed a gene co-expression analysis using the open source bioinformatics tool Multi Experiment Matrix (MEM) [1] that covers a large set of human transcriptomic data (n = 1794) on the same expression array platform (Affymetrix HG-U133_Plus_2).
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