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Single-cell profiling of brain pericyte heterogeneity following ischemic stroke unveils distinct pericyte subtype-targeted neural reprogramming potential and its underlying mechanisms.
Theranostics
October 2024
Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON, K1H 8L6, Canada.
Article Synopsis
- Brain pericytes can change into multiple cell types after injury, but different subsets might have varied abilities to do so based on their characteristics.
- Using an ischemic stroke model and advanced techniques like single-cell RNA sequencing, researchers identified two main pericyte subpopulations (NG2 and Tbx18) that respond differently to brain injury: NG2 pericytes are more likely to turn into neurons, while Tbx18 pericytes can become endothelial cells, fibroblasts, and microglia.
- Additionally, by manipulating AMP-dependent kinase (AMPK) activity, the study found ways to enhance the conversion of pericytes into functional neurons, implying that targeted treatments could improve neuron formation from pericytes after
Stromal Cell-SLIT3/Cardiomyocyte-ROBO1 Axis Regulates Pressure Overload-Induced Cardiac Hypertrophy.
Circ Res
March 2024
Department of Cardiac Surgery (X.L., B.L., S.W., D.X., M.-S.S.), Michigan Medicine, Ann Arbor.
Background: Recently shown to regulate cardiac development, the secreted axon guidance molecule SLIT3 maintains its expression in the postnatal heart. Despite its known expression in the cardiovascular system after birth, SLIT3's relevance to cardiovascular function in the postnatal state remains unknown. As such, the objectives of this study were to determine the postnatal myocardial sources of SLIT3 and to evaluate its functional role in regulating the cardiac response to pressure overload stress.
View Article and Find Full Text PDFSingle-cell RNA sequencing reveals the transcriptional heterogeneity of Tbx18-positive cardiac cells during heart development.
Funct Integr Genomics
January 2024
Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
The T-box family transcription factor 18 (Tbx18) has been found to play a critical role in regulating the development of the mammalian heart during the primary stages of embryonic development while the cellular heterogeneity and landscape of Tbx18-positive (Tbx18+) cardiac cells remain incompletely characterized. Here, we analyzed prior published single-cell RNA sequencing (scRNA-seq) mouse heart data to explore the heterogeneity of Tbx18+ cardiac cell subpopulations and provide a comprehensive transcriptional landscape of Tbx18+ cardiac cells during their development. Bioinformatic analysis methods were utilized to identify the heterogeneity between cell groups.
View Article and Find Full Text PDFAutonomous and non-cell autonomous role of cilia in structural birth defects in mice.
PLoS Biol
December 2023
Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
Ciliopathies are associated with wide spectrum of structural birth defects (SBDs), indicating important roles for cilia in development. Here, we provide novel insights into the temporospatial requirement for cilia in SBDs arising from deficiency in Ift140, an intraflagellar transport (IFT) protein regulating ciliogenesis. Ift140-deficient mice exhibit cilia defects accompanied by wide spectrum of SBDs including macrostomia (craniofacial defects), exencephaly, body wall defects, tracheoesophageal fistula (TEF), randomized heart looping, congenital heart defects (CHDs), lung hypoplasia, renal anomalies, and polydactyly.
View Article and Find Full Text PDFSingle-cell and spatial heterogeneity landscapes of mature epicardial cells.
J Pharm Anal
August 2023
Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
, , and have been identified as epicardial markers during the early embryonic stage. However, the gene markers of mature epicardial cells remain unclear. Single-cell transcriptomic analysis was performed with the Seurat, Monocle, and CellphoneDB packages in R software with standard procedures.
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