@article {Seefelder2021.01.04.425185, author = {Manuel Seefelder and Stefan Kochanek}, title = {A meta-analysis of transcriptomic profiles from Huntington{\textquoteright}s disease patients points to a pathophysiological role of CDC42, NFY, DLX1 and PRMT3}, elocation-id = {2021.01.04.425185}, year = {2021}, doi = {10.1101/2021.01.04.425185}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Description of robust transcriptomic alterations in Huntington{\textquoteright}s disease is essential to identify targets for biochemical studies and drug development. We analysed publicly available transcriptome data from the brain and blood of 220 HD patients and 241 healthy controls and identified 737 and 661 genes with robustly altered mRNA levels in the brain and blood of HD patients, respectively. In the brain, a subnetwork of 320 genes strongly correlated with HD and was enriched in transport-related genes. Bioinformatical analysis of this subnetwork highlighted CDC42, PAK1, YWHAH, NFY, DLX1, HMGN3, and PRMT3. Moreover, we found that CREB1 can regulate 78.0 \% of genes whose mRNA levels correlated with HD in the blood of patients. Alterations in protein transport, metabolism, transcriptional regulation, and CDC42-mediated functions are likely central features of HD. Further our data substantiate the role of transcriptional regulators that have not been reported in the context of HD (e.g. DLX1, HMGN3 and PRMT3) and strongly suggest dysregulation of NFY and its target genes across tissues. A large proportion of the identified genes such as CDC42 were also altered in Parkinson{\textquoteright}s (PD) and Alzheimer{\textquoteright}s disease (AD). The observed dysregulation of CDC42 and YWHAH in samples from HD, AD and PD patients indicates that those genes and their upstream regulators may be interesting therapeutic targets.Competing Interest StatementThe authors have declared no competing interest.}, URL = {https://www.biorxiv.org/content/early/2021/01/22/2021.01.04.425185}, eprint = {https://www.biorxiv.org/content/early/2021/01/22/2021.01.04.425185.full.pdf}, journal = {bioRxiv} }