Cheek swabs, heterogeneous samples consisting primarily of buccal epithelial cells, are widely used in pediatric DNA methylation studies and biomarker creation. However, the decrease in buccal proportion with age in adults remains unexamined in childhood. We analyzed cheek swabs from 4626 typically developing children 2-months to 20-years-old.
View Article and Find Full Text PDFObjectives: Hepatitis C virus (HCV) and bacterial vaginosis (BV) coinfection generate sustained inflammation with bulk production of reactive oxygen species. They have the potency to cause hepatocellular carcinoma, vaginal apoptosis, disturb pregnancy, and influence drug treatment and follow-up. This case-control study aimed to compare the redox status in HCV and BV coinfection with respect to BV mono-infection among pregnant females (PFs).
View Article and Find Full Text PDFLeaf rust caused by is the most widespread rust disease of wheat. As pathogen populations are constantly evolving, identification of novel sources of resistance is necessary to maintain disease resistance and stay ahead of this plant-pathogen evolutionary arms race. The wild genepool of wheat is a rich source of genetic diversity, accounting for 44% of the genes identified.
View Article and Find Full Text PDFIn pectin regulation, polygalacturonases (PGs) and pectin methylesterases (PMEs) are critical components in the transformation, disassembly network, and remodeling of plant primary cell walls. In the current study, we identified 36 and 47 genes using the available genomic resources of grapevine. Herein, we provide a comprehensive overview of PGs and PMEs, including phylogenetic and collinearity relationships, motif and gene structure compositions, gene duplications, principal component analysis, and expression profiling during developmental stages.
View Article and Find Full Text PDFBoolean modelling of biological networks is a well-established technique for abstracting dynamical biomolecular regulation in cells. Specifically, decoding linkages between salient regulatory network states and corresponding cell fate outcomes can help uncover pathological foundations of diseases such as cancer. Attractor landscape analysis is one such methodology which converts complex network behavior into a landscape of network states wherein each state is represented by propensity of its occurrence.
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