Inspired by such approaches, we propose a novel method to identify PPIs through
semantic similarity measures among protein mentions. We define six semantic similarity measures as features based on the page counts retrieved from the MEDLINE database. A machine learning classifier, Random Forest, is trained using the above features. The proposed approach achieve an averaged micro-F of 71.28% this website and an averaged macro-F of 64.03% over five PPI corpora, an improvement over the results of using only the conventional co-occurrence feature (averaged micro-F of 68.79% and an averaged macro-F of 60.49%). A relation-word reinforcement further improves the averaged micro-F to 71.3% and averaged macro-F to 65.12%. Comparing the results of the current work with other studies on the AIMed corpus (ranging from 77.58% to 85.1% in micro-F, 62.18% to 76.27% in macro-F), we show that the proposed approach achieves micro-F of 81.88% and macro-F of 64.01% without the use of sophisticated feature extraction. Finally, we manually examine the newly discovered PPI pairs based on a literature review, and the results suggest that our LY294002 mw approach could extract novel protein-protein interactions.”
“A number of studies have suggested that macrophages, dendritic cells, and follicular dendritic
cells play an important role in the propagation of PrPSc. Both accumulation and proteolysis of PrPSc have been demonstrated in peripheral macrophages. Macrophages may act as reservoirs for PrPSc particles if the cells die during transient PrPSc propagation. However, whether cell death plays a role in PrPSc propagation in macrophages remains unclear. In this study, we investigated the possibility of propagation and transmission of PrPSc between HDAC inhibitor drugs dead immune cells and living neural cells.
We found that under specific conditions, transient PrPSc propagation occurs in dead cells, indicating that interaction between PrPC and PrPSc on plasma membrane lipid rafts might be important for PrPSc propagation. Co-culturing of killed donor PrPSc-infected macrophages with recipient N2a-3 neuroblastoma cells accelerated PrPSc transmission. Our results suggest that cell death may play an important role in PrPSc propagation, whereas transient PrPSc propagation in macrophages has little effect on PrPSc transmission.”
“Proper cell fate determination in mammalian gonads is critical for the establishment of sexual identity. The Hedgehog (Hh) pathway has been implicated in cell fate decision for various organs, including gonads. Desert Hedgehog (Dhh), one of the three mammalian Hh genes, has been implicated with other genes in the establishment of mouse fetal Leydig cells. To investigate whether Hh alone is sufficient to induce fetal Leydig cell differentiation, we ectopically activated the Hh pathway in Steroidogenic factor I (SF1)-positive somatic cell precursors of fetal ovaries. Hh activation transformed SF1-positive somatic ovarian cells into functional fetal Leydig cells.