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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.

Synthetic Protein Circuits for Programmable Control of Mammalian Cell Death

Xia et al., Cell. 2024.

https://pubmed.ncbi.nlm.nih.gov/38657604/

Natural cell-death pathways have been shown to eliminate harmful cells and shape immunity. Researchers used synthetic protein-level cell-death circuits, collectively termed “synpoptosis” circuits, to proteolytically regulate engineered executioner proteins and mammalian cell death. They show that the circuits direct cell death modes, respond to combinations of protease inputs, and selectively eliminate target cells. This work provides a foundation for programmable control of mammalian cell death. Future studies could focus on programmable control of cell death in various contexts, including cancer, senescence, fibrosis, autoimmunity, and infection. Supported by ORIP (F30OD036190) and NIBIB.

Loss of Lymphatic IKKα Disrupts Lung Immune Homeostasis, Drives BALT Formation, and Protects Against Influenza

Cully et al., Immunohorizons. 2024.

https://pubmed.ncbi.nlm.nih.gov/39007717/

Tertiary lymphoid structures (TLS) have context-specific roles, and more work is needed to understand how they function in separate diseases to drive or reduce pathology. Researchers showed previously that lymph node formation is ablated in mice constitutively lacking IκB kinase alpha (IKKα) in lymphatic endothelial cells (LECs). In this study, they demonstrated that loss of IKKα in lymphatic endothelial cells leads to the formation of bronchus-associated lymphoid tissue in the lung. Additionally, they showed that male and female mice challenged with influenza A virus (IAV) exhibited markedly improved survival rates and reduced weight loss, compared with littermate controls. They concluded that ablating IKKα in this tissue reduces the susceptibility of the mice to IAV infection through a decrease in proinflammatory stimuli. This work provides a new model to explore the mechanisms of TLS formation and the immunoregulatory function of lung lymphatics. Supported by ORIP (T35OD010919), NHLBI, NIAID, and NIAMS.

Gigapixel Imaging With a Novel Multi-Camera Array Microscope

Thomson et al., eLife. 2022.

https://www.doi.org/10.7554/eLife.74988

The dynamics of living organisms are organized across many spatial scales. The investigators created assembled a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution, large field-of-view recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, they computationally generated gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This system allows the team to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales (e.g., larval zebrafish, fruit flies, slime mold). Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms. Supported by ORIP (R44OD024879), NIEHS, NCI, and NIBIB.