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Technological advances have enabled the study of the human genome in incredible detail with relative ease. However, our ability to interpret the functional significance of the millions of genetic variants present within each individual is limited. As a result, the confident assignment of disease-causing variant calls remains a significant challenge. Here we explore how mouse genetics can help address this deficit in functional genomic understanding. Underpinned by marked genetic correspondence, skeletal biology shows inter-species similarities which provide important opportunities to use data from mouse models to direct research into the genetic basis of skeletal pathophysiology. In this article we outline critical resources that may be used to establish genotype/phenotype relationships in skeletal tissue, identify genes with established skeletal effects and define the transcriptome of critical skeletal cell types. Finally, we outline how these mouse resources might be utilized to progress from a list of human sequence variants toward plausible gene candidates that contribute to skeletal disease.
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http://dx.doi.org/10.1016/j.bone.2019.02.015 | DOI Listing |
Cell Mol Life Sci
September 2025
Department of Gastroenterology, The Second Hospital of Shandong University, Jinan, China.
Metabolic associated steatohepatitis (MASH) is a severe form of metabolic dysfunction-associated steatotic liver disease (MASLD) characterized by hepatocellular injury, inflammation, and fibrosis. Despite advances in understanding its pathophysiology, the molecular mechanisms driving MASH progression remain unclear. This study investigates the role of long non-coding RNA Linc01271 in MASLD/MASH pathogenesis, ant its involvement in the miR-149-3p/RAB35 axis and PI3K/AKT/mTOR signaling pathway.
View Article and Find Full Text PDFArch Microbiol
September 2025
School of Public Health, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Wenjiang District, Chengdu, 611137, Sichuan Province, China.
The inhibitory effects of Lactiplantibacillus plantarum on inflammatory responses are known, but its action mechanisms in oxidative stress, immunomodulation, and intestinal homeostasis remain of interest. Accordingly, we investigated the protective effects of Lactiplantibacillus plantarum SCS2 (L. plantarum SCS2) against sodium dextran sulfate (DSS)-induced colitis in mice as well as elucidated its impact on inflammation, oxidative stress, and intestinal microbiota.
View Article and Find Full Text PDFJ Cell Biol
November 2025
Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA.
Two major protein recycling pathways have emerged as key regulators of enduring forms of synaptic plasticity, such as long-term potentiation (LTP), yet how these pathways are recruited during plasticity is unknown. Phosphatidylinositol-3-phosphate (PI(3)P) is a key regulator of endosomal trafficking and alterations in this lipid have been linked to neurodegeneration. Here, using primary hippocampal neurons, we demonstrate dynamic PI(3)P synthesis during chemical induction of LTP (cLTP), which drives coordinate recruitment of the SNX17-Retriever and SNX27-Retromer pathways to endosomes and synaptic sites.
View Article and Find Full Text PDFCancer Discov
September 2025
Moffitt Cancer Center, Tampa, FL, United States.
There is growing interest in understanding the mechanisms underlying differences in cancer incidence among species (comparative oncology). The naked mole-rat (NMR) is often referenced as "cancer-resistant" and prior studies focused on identifying mechanisms explaining this. However, efforts to assess this in vivo have been limited.
View Article and Find Full Text PDFCancer Discov
September 2025
Evolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.
Unlabelled: Oncogenes amplified on extrachromosomal DNA (ecDNA) contribute to treatment resistance and poor survival across cancers. Currently, the spatiotemporal evolution of ecDNA remains poorly understood. In this study, we integrate computational modeling with samples from 94 treatment-naive human glioblastomas (GBM) to investigate the spatiotemporal evolution of ecDNA.
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