To understand heart aging at the single-cell level, we employed single-cell dual omics (scRNA-seq and scATAC-seq) in profiling non-myocytes (non-CMs) from young, middle-aged, and elderly mice. Non-CMs, vital in heart development, physiology, and pathology, are understudied compared to cardiomyocytes. Our analysis revealed aging response heterogeneity and its dynamics over time. Immune cells, notably macrophages and neutrophils, showed significant aging alterations, while endothelial cells displayed moderate changes. We identified distinct aging signatures within the cell type, including differential gene expression, transcription factor activity, and motif variation. Sub-cluster analysis revealed intra-cell type heterogeneity, characterized by diverse aging patterns. The senescence-associated secretory phenotype emerged as a key aging-related phenotype. Moreover, aging significantly influenced cell-cell communication, especially impacting a fibroblast sub-cluster with high expression of ERBB4. This study elucidates the complex cellular and molecular landscape of cardiac aging and offers guidance for potential therapeutic avenues to treat aging-related heart diseases.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11681900 | PMC |
http://dx.doi.org/10.1016/j.isci.2024.111469 | DOI Listing |
Brief Bioinform
November 2024
School of Medicine, Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1, PO Box 1627, 70211 Kuopio, Finland.
The selection of biomarker panels in omics data, challenged by numerous molecular features and limited samples, often requires the use of machine learning methods paired with wrapper feature selection techniques, like genetic algorithms. They test various feature sets-potential biomarker solutions-to fine-tune a machine learning model's performance for supervised tasks, such as classifying cancer subtypes. This optimization process is undertaken using validation sets to evaluate and identify the most effective feature combinations.
View Article and Find Full Text PDFiScience
December 2024
Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA.
To understand heart aging at the single-cell level, we employed single-cell dual omics (scRNA-seq and scATAC-seq) in profiling non-myocytes (non-CMs) from young, middle-aged, and elderly mice. Non-CMs, vital in heart development, physiology, and pathology, are understudied compared to cardiomyocytes. Our analysis revealed aging response heterogeneity and its dynamics over time.
View Article and Find Full Text PDFFront Plant Sci
December 2024
Genomics Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea.
Onion ( L.) is an important seasoning vegetable worldwide. It belongs to the Allium genus, which produces distinctive flavor compounds, allicin/isoallicin.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Cell Biol Lipids
December 2024
Department of Cardiology, Shaanxi Provincial Hospital, Xi'an, China; Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an Jiaotong University Health Science Center, Xi'an, China; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia. Electronic address:
Metabolic reprogramming occurs in cardiomyopathy and heart failure contributing to progression of the disease. Activation of cardiac Hippo pathway signaling has been implicated in mediating mitochondrial dysfunction and metabolic reprogramming in cardiomyopathy, albeit influence of Hippo pathway on lipid profile is unclear. Using a dual-omics approach, we determined alterations of cardiac lipids in a mouse model of cardiomyopathy due to enhanced Hippo signaling and explored molecular mechanisms.
View Article and Find Full Text PDFJ Thromb Haemost
December 2024
Department of Pediatrics, Centre Hospitalier Universitaire de Québec - Centre Mère-Enfant Soleil, Quebec City, Quebec, Canada; Centre de Recherche du Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada. Electronic address:
Background: Venous thromboembolism (VTE) is a frequent complication of childhood acute lymphoblastic leukemia (ALL).
Objectives: We aimed to identify molecular markers and signatures of leukemia microenvironment associated with VTE in childhood ALL, by dual-omics approach of gene expression (GEP) and DNA-methylation profiling.
Patients/methods: Eligible children were aged 1-21 years old with newly diagnosed ALL enrolled on the Dana Farber Cancer Institute 16-001 trial with available RNA sequencing data from bone marrow at diagnosis.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!