Selected Grantee Publications
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.
Deletion of Mouse Lysyl Oxidase in Megakaryocytes Affects Bone Properties in a Sex-Dependent Manner
Karagianni, Cell. 2024.
https://pubmed.ncbi.nlm.nih.gov/38635757/
Lysyl oxidase (LOX) is a facilitator of extracellular matrix cross-linking, and the importance of LOX in bone formation has been addressed in both in vitro and in vivo studies. Using newly developed megakaryocyte-specific LOX knockout mice, the researchers show that LOX expressed in these scarce bone marrow cells leads to changes in bone volume and mechanical strength in male mice; however, no significant changes were observed within the female experimental groups. The authors’ findings suggest that sex hormones could contribute to differences within these dynamics. Supported by ORIP (K01OD025290) and NIAMS.
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.
Time of Sample Collection Is Critical for the Replicability of Microbiome Analyses
Allaband et al., Nature Metabolism. 2024.
https://pubmed.ncbi.nlm.nih.gov/38951660/
Lack of replicability remains a challenge in microbiome studies. As the microbiome field moves from descriptive and associative research to mechanistic and interventional studies, being able to account for all confounding variables in the experimental design will be critical. Researchers conducted a retrospective analysis of 16S amplicon sequencing studies in male mice. They report that sample collection time affects the conclusions drawn from microbiome studies. The lack of consistency in the time of sample collection could help explain poor cross-study replicability in microbiome research. The effect of diurnal rhythms on the outcomes and study designs of other fields is unknown but is likely significant. Supported by ORIP (T32OD017863), NCATS, NCI, NHLBI, NIAAA, NIAID, NIBIB, NIDDK, and NIGMS.
GenomeMUSter Mouse Genetic Variation Service Enables Multitrait, Multipopulation Data Integration and Analysis
Ball et al., Genome Research. 2024.
https://genome.cshlp.org/content/34/1/145.long
Advances in genetics, including transcriptome-wide and phenome-wide association analysis methods, create compelling new opportunities for using fully reproducible and widely studied inbred mouse strains to characterize the polygenetic basis for individual differences in disease-related traits. Investigators developed an imputation approach and implemented data service to provide a broad and more comprehensive mouse variant resource. They evaluated the strain-specific imputation accuracy on a “held-out” test set that was not used in the imputation process. The authors present its application to multipopulation and multispecies analyses of complex trait variation in type 2 diabetes and substance use disorders and compare these results to human genetics studies. Supported by ORIP (U42OD010921, P40OD011102, R24OD035408), NCI, NIAAA, NIDA, and NIDCD.