A classical example of "transcriptional silencing" is found in the yeast S. cerevisiae mating-type switch [1, 2]. The gene pairs a1/a2 and α1/α2, positioned at the loci HMR and HML, respectively, are silenced by Sir proteins recruited by proteins that bind sites flanking each locus. Transfer of either gene pair to the Sir-free MAT locus, or mutation of the Sirs, allows expression of those genes at levels sufficient to foster yeast mating. Here we confirm that, in the absence of Sirs, a1 and a2 at HMR are expressed at low levels [3]. This level is low because, we show, the relevant transcriptional activators, which work from regulatory sites located between the divergently transcribed genes, are weak. That property-weak activation-is a prerequisite for effective silencing upon recruitment of Sirs. We use our quantitative nucleosome occupancy assay to show that Sirs (which bind nucleosomes) increase the avidities with which those nucleosomes form at the promoters. That increase can account for at least part of the repressive effects of the Sirs and can explain why silencing is effective in countering weak activation only. We suggest that "silencing" in higher eukaryotes (e.g., by Polycomb or HP1) follows similar rules [4, 5] and note where such effects could be important.
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http://dx.doi.org/10.1016/j.cub.2015.03.004 | DOI Listing |
EClinicalMedicine
February 2025
Emergency Centre, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Background: Sepsis is a significant health burden on a global scale. Timely identification and treatment of sepsis can greatly improve patient outcomes, including survival rates. However, time-consuming laboratory results are often needed for screening sepsis.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Korea.
There is limited data on the risk of second primary malignancies (SPMs) in Asian melanoma survivors. This study aimed to identify the risk of SPMs in Asian melanoma survivors. Standardized incidence ratios (SIRs) were calculated for overall and specific SPMs.
View Article and Find Full Text PDFJ Med Screen
January 2025
Cancer Screening and Prevention Research Group (CSPRG), Department of Surgery and Cancer, Imperial College London, London, UK.
Objectives: Colonoscopy surveillance is often performed in post-polypectomy cohorts, likely altering colorectal cancer (CRC) outcomes, but this is often not addressed in CRC incidence analyses. We examined CRC incidence post-endoscopic screening, accounting for surveillance.
Methods: We examined UK Flexible Sigmoidoscopy Screening Trial participants who had no, low-risk, or high-risk (≥10 mm, ≥3 adenomas, adenomas with villous features/high-grade dysplasia) distal polyps at screening.
Lipids Health Dis
January 2025
Department of Gastroenterology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Background: This study examines the role and effectiveness of double filtration plasmapheresis (DFPP) in managing hyperlipidemiclipidemic acute pancreatitis (HLAP).
Methods: Comparative analysis was conducted between two groups: one treated with DFPP and one without. Comparative parameters included blood lipid levels, inflammatory factors, vital signs, disease severity scores, and complication rates.
J Theor Biol
January 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China. Electronic address:
There are evidence showing that meteorological factors, such as temperature and humidity, have critical effects on transmission of some infectious diseases, while quantifying the influence is challenging. In this study we develop a learning-explaining framework to discover the particular dependence of transmission mechanisms on meteorological factors based on multiple source data. The incidence rate based on the epidemic data and epidemic model is theoretically identified, and meanwhile the practical discovery of particular formula is feasible through deep neural networks (DNN), symbolic regression (SR) and sparse identification of nonlinear dynamics (SINDy).
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