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Full-Text Articles in Genetics and Genomics
Demethylated Hsatii Dna And Hsatii Rna Foci Sequester Prc1 And Mecp2 Into Cancer-Specific Nuclear Bodies, L. L. Hall, M. Byron, Dawn M. Carone, T. W. Whitfield, G. P. Pouliot, A. Fischer, P. Jones, J. B. Lawrence
Demethylated Hsatii Dna And Hsatii Rna Foci Sequester Prc1 And Mecp2 Into Cancer-Specific Nuclear Bodies, L. L. Hall, M. Byron, Dawn M. Carone, T. W. Whitfield, G. P. Pouliot, A. Fischer, P. Jones, J. B. Lawrence
Biology Faculty Works
This study reveals that high-copy satellite II (HSATII) sequences in the human genome can bind and impact distribution of chromatin regulatory proteins and that this goes awry in cancer. In many cancers, master regulatory proteins form two types of cancer-specific nuclear bodies, caused by locus-specific deregulation of HSATII. DNA demethylation at the 1q12 mega-satellite, common in cancer, causes PRC1 aggregation into prominent Cancer-Associated Polycomb (CAP) bodies. These loci remain silent, whereas HSATII loci with reduced PRC1 become derepressed, reflecting imbalanced distribution of UbH2A on these and other PcG-regulated loci. Large nuclear foci of HSATII RNA form and sequester copious MeCP2 …
Identifying Parkinson’S Patients: A Functional Gradient Boosting Approach, D. S. Dhami, Ameet Soni, D. Page, S. Natarajan
Identifying Parkinson’S Patients: A Functional Gradient Boosting Approach, D. S. Dhami, Ameet Soni, D. Page, S. Natarajan
Computer Science Faculty Works
Parkinson’s, a progressive neural disorder, is difficult to identify due to the hidden nature of the symptoms associated. We present a machine learning approach that uses a definite set of features obtained from the Parkinson’s Progression Markers Initiative (PPMI) study as input and classifies them into one of two classes: PD (Parkinson’s disease) and HC (Healthy Control). As far as we know this is the first work in applying machine learning algorithms for classifying patients with Parkinson’s disease with the involvement of domain expert during the feature selection process. We evaluate our approach on 1194 patients acquired from Parkinson’s Progression …