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Multimodal Analysis of Dysregulated Heme Metabolism, Hypoxic Signaling, and Stress Erythropoiesis in Down Syndrome

Donovan et al., Cell Reports. 2024.

https://pubmed.ncbi.nlm.nih.gov/39120971

Down syndrome (DS), a genetic condition caused by the presence of an extra copy of chromosome 21, is characterized by intellectual and developmental disability. Infants with DS often suffer from low oxygen saturation, and DS is associated with obstructive sleep apnea. Investigators assessed the role that hypoxia plays in driving health conditions that are comorbid with DS. A multiomic analysis showed that people with DS exhibit elevated heme metabolism and activated stress erythropoiesis, which are indicators of chronic hypoxia; these results were recapitulated in a mouse model for DS. This study identified hypoxia as a possible mechanism underlying several conditions that co-occur with DS, including congenital heart defects, seizure disorders, autoimmune disorders, several leukemias, and Alzheimer's disease. Supported by ORIP (R24OD035579), NCATS, NCI, and NIAID.

Establishment and Characterization of Three Human Ocular Adnexal Sebaceous Carcinoma Cell Lines

Lee et al., International Journal of Molecular Sciences. 2024.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11432008

Researchers established three new cell lines to model ocular adnexal sebaceous carcinoma (SebCA) and test new therapies. SebCA is a highly problematic periorbital tumor requiring aggressive surgical treatment, and its pathobiology remains poorly understood. With consent from one male and two female patients, tumor tissue was cultured under conditional reprograming, and the cells were analyzed for growth, clonogenicity, apoptosis, and differentiation using methods including western blotting, short tandem repeat profiling, and next-generation sequencing. These newly developed cell lines provide valuable preclinical models for understanding and treating SebCA. Supported by ORIP (K01OD034451).

Transcriptomic Analysis of Skeletal Muscle Regeneration Across Mouse Lifespan Identifies Altered Stem Cell States

Walter et al., Nature Aging. 2024.

https://pubmed.ncbi.nlm.nih.gov/39578558

Age-related skeletal muscle regeneration dysfunction is poorly understood. Using single-cell transcriptomics and high-resolution spatial transcriptomics, researchers evaluated factors contributing to age-related decline in skeletal muscle regeneration after injury in young, old, and geriatric male and female mice (5, 20, and 26 months old). Eight immune cell types were identified and associated with age-related dynamics and distinct muscle stem cell states specific to old and geriatric tissue. The findings emphasize the role of extrinsic and intrinsic factors, including cellular senescence, in disrupting muscle repair. This study provides a spatial and molecular framework for understanding regenerative decline and cellular heterogeneity in aging skeletal muscle. Supported by ORIP (F30OD032097), NIA, NIAID, NIAMS, NICHD, and NIDA.