ArticleJournal of translational medicine2025
Temporal dynamics of the multi-omic response reveals the modulation of macrophage subsets post-myocardial infarction.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Time-resolved multi-omics reveals macrophage-centered immunometabolic remodeling in cutaneous dematiaceous fungal infection.Frontiers in immunology · 2026Article
- VSIG2 hinders gastric cancer progression by suppressing ANXA2-mediated NF-κB pathway activation.Acta biochimica et biophysica Sinica · 2025Article
- Cross-Talk Between Neutrophils and Macrophages Post-Myocardial Infarction: From Inflammatory Drivers to Therapeutic Targets.International journal of molecular sciences · 2025Review
- Identification and validation of feature genes of acute myocardial infarction based on ferroptosis-related genes.European journal of medical research · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
aimsMacrophage-mediated inflammatory response plays a pivotal role in the pathological process of myocardial infarction (MI). Although single-cell RNA sequencing (scRNA-seq) shed light on the differentiation and function of macrophage subsets post-MI, it failed to capture protein-level changes, limiting comprehensive assessment.
methodsTo address this limitation, first, we analyzed the scRNA-seq data from ArrayExpress, after comprehensive quality control, normalization, dimensionality reduction, and clustering analyses, macrophage subsets were systematically classified and annotated using established computational pipelines. Then, these computational classifications were validated through rigorous animal experiments. Finally, we integrated proteomic data from our experimental model and scRNA-seq to analyze the effect of protein modification changes in macrophage subsets on prognosis post-MI.
resultsA total of seven macrophage clusters were identified and annotated, including Spp1
conclusionBy integrating scRNAseq and proteomics data, this study provides a comprehensive overview of heterogeneity and dynamic protein level changes of macrophages post-MI, and characterizes the PTMs in macrophages, and lays the groundwork for developing targeted interventions tailored to specific cell types and time points post-MI.
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Registered trials
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