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To investigate the nature and origins of growth rate diversity in bacteria, we grew and in liquid minimal media and, after different periods of N-labeling, analyzed and imaged isotope distributions in individual cells with . We find a striking inter- and intra-cellular diversity, even in steady state growth. This is consistent with the strand-dependent, hyperstructure-based hypothesis that a major function of the cell cycle is to generate coherent, growth rate diversity via the semi-conservative pattern of inheritance of strands of DNA and associated macromolecular assemblies. We also propose quantitative, general, measures of growth rate diversity for studies of cell physiology that include antibiotic resistance.
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http://dx.doi.org/10.3389/fmicb.2018.00849 | DOI Listing |
J Environ Pathol Toxicol Oncol
January 2025
Department of Pharmacy, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China.
Despite advancements in systemic therapy, the mortality rate for patients with metastatic melanoma remains around 70%, underscoring the imperative for alternative treatment strategies. Through the establishment of a chemoresistant melanoma model and a subsequent drug investigation, we have identified pacritinib, a medication designed for treating myelofibrosis and severe thrombocytopenia, as a potential candidate to overcome resistance to melanoma therapy. Our research reveals that pacritinib, administered at clinically achievable concentrations, effectively targets dacarbazine-resistant melanoma cells by suppressing IRAK1 rather than JAK2.
View Article and Find Full Text PDFJ Med Chem
September 2025
Faculty of Mathematics and Natural Sciences, Institute of Pharmaceutical and Medicinal Chemistry, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
New treatment strategies are required to combat the spread of drug-resistant malaria. The synthesis and preclinical evaluation of novel 3-hydroxy-propanamidines (HPAs), with modifications of the phenanthrene and the 4-fluorobenzamidine moieties, has yielded several analogs exhibiting excellent in vitro growth inhibition of drug-sensitive or resistant fresh clinical isolates and culture-adapted strains. No cytotoxicity in the human HepG2 cell line was observed, demonstrating notable parasite selectivity.
View Article and Find Full Text PDFJMIR Public Health Surveill
September 2025
Earth Observation Centre (EOC), Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Background: Neighborhoods resulting from rapid urbanization processes are often saturated with eateries for local communities, potentially increasing exposure to unhealthy foods and creating diabetogenic residential habitats.
Objective: We examined the association between proximity of commercial food outlets to local neighborhood residences and type 2 diabetes (T2D) cases to explore how local T2D rates vary by location and provide policy-driven metrics to monitor food outlet density as a potential control for high local T2D rates.
Methods: This cross-sectional ecological study included 11,354 patients with active T2D aged ≥20 years geocoded using approximate neighborhood residence aggregated to area-level rates and counts by subdistricts (mukims) in Penang, northern Malaysia.
Proc Natl Acad Sci U S A
September 2025
Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520.
A frequent goal of phage biology is to quantify how well a phage kills a population of host bacteria. Unfortunately, traditional methods to quantify phage success can be time-consuming, limiting the throughput of experiments. Here, we use theory to show how the effects of phages on their hosts can be quantified using bacterial population dynamics measured in a high-throughput microplate reader (automated spectrophotometer).
View Article and Find Full Text PDFPLoS One
September 2025
Department of Pathology, Hospital Tuanku Fauziah, Jalan Tun Abdul Razak, Kangar, Perlis, Malaysia.
Cervical cancer remains a significant cause of female mortality worldwide, primarily due to abnormal cell growth in the cervix. This study proposes an automated classification method to enhance detection accuracy and efficiency, addressing contrast and noise issues in traditional diagnostic approaches. The impact of image enhancement on classification performance is evaluated by comparing transfer learning-based Convolutional Neural Network (CNN) models trained on both original and enhanced images.
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