The interaction of many proteins with genomic DNA is required for the expression, replication, and maintenance of the integrity of mammalian genomes. These proteins participate in processes as diverse as gene transcription and mRNA processing, as well as in DNA replication, recombination, and repair. This intricate system, where the various nuclear machineries interact with one another and bind to either common or distinct DNA regions to create an impressive network of protein-protein and protein-DNA interactions, is made even more complex by the need for a very stringent control in order to ensure normal cell growth and differentiation. A general methodology based on the in vivo pull-down of tagged components of nuclear machines and regulatory proteins was used to study genome-wide protein-protein and protein-DNA interactions in mammalian cells. In particular, this approach has been used in defining the interaction networks (or "interactome") formed by RNA polymerase II, a molecular machine that decodes the human genome. In addition, because this methodology allows for the purification of variant forms of tagged complexes having site-directed mutations in key elements, it can also be used for deciphering the relationship between the structure and the function of the molecular machines, such as RNA polymerase II, that by binding DNA play a central role in the pathway from the genome to the organism.
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http://dx.doi.org/10.1074/mcp.R400009-MCP200 | DOI Listing |
J Transl Med
January 2025
Medical College of YiChun University, Xuefu Road No 576, Yichun, 336000, Jiangxi, People's Republic of China.
Background: Artificial sweeteners (AS) have been widely utilized in the food, beverage, and pharmaceutical industries for decades. While numerous publications have suggested a potential link between AS and diseases, particularly cancer, controversy still surrounds this issue. This study aims to investigate the association between AS consumption and cancer risk.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Background: Prostate cancer (PCa) is commonly occurred among males worldwide and its prognosis could be influenced by biochemical recurrence (BCR). MicroRNAs (miRNAs) are functional regulators in carcinogenesis, and miR-221-3p was reported as one of the significant candidates deregulated in PCa. However, its regulatory pattern in PCa BCR across literature reports was not consistent, and the targets and mechanisms in PCa malignant transition and BCR are less explored.
View Article and Find Full Text PDFBMC Genomics
January 2025
Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, 43210, USA.
Background: Additional to total protein content, the amino acid (AA) profile is important to the nutritional value of soybean seed. The AA profile in soybean seed is a complex quantitative trait controlled by multiple interconnected genes and pathways controlling the accumulation of each AA. With a total of 621 soybean germplasm, we used three genome-wide association study (GWAS)-based approaches to investigate the genomic regions controlling the AA content and profile in soybean.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Background: The Getting Older Adults Outdoors (GO-OUT) randomized controlled trial showed that a workshop and 10-week park-based outdoor walk group (OWG) was superior to the workshop and 10 weekly reminders (WR) with increasing walking capacity, but not outdoor walking activity, health-promoting behavior, or successful aging, among older adults with difficulty walking outdoors. The objective of this planned process evaluation was to explore participants' perceptions of mechanisms of impact of and contextual factors influencing experiences with the interventions to help explain the observed intervention effects on study outcomes.
Methods: A qualitative descriptive study involving semi-structured interviews conducted at 6-months post-baseline was conducted.
Commun Med (Lond)
January 2025
Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.
Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes.
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