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Genetic Mapping of Monocyte Fate Decisions Following Myocardial Infarction

GSE252086 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/12/01 Platform GPL24247
Summary
Inflammation contributes to the pathogenesis of cardiac disease and represents a viable therapeutic target for heart failure. Cardiac injury elicits recruitment of neutrophils, monocytes, and T-cells. Monocytes and their progeny represent are highly abundant, display incredible functional diversity, and are key determinants of myocardial inflammation. Much remains to be learned regarding mechanisms and signaling events that instruct monocyte fate decisions. We devised a genetic lineage tracing strategy using Ccr2crERT2Rosa2LSL-tdTomato mice in combination with single cell RNA-sequencing to map the fate and differentiation trajectories of monocytes that infiltrate the heart after reperfused myocardial infarction (MI). We observe that monocyte recruitment is restricted to the first 5 days following MI. Infiltrating monocytes give rise to transcriptionally distinct and spatially restricted macrophage and dendritic cell-like subsets, dynamically shift over time, and chronically persist within the myocardium. Pseudotime analysis predicted two differentiation trajectories of monocyte-derived macrophages that are initially partitioned into the border and infarct zones, respectively. Among these trajectories, we show that macrophages expressing a type I IFN responsive signature are an intermediate population localized within the border zone and promote myocardial protection. Collectively, these data uncover new complexities of monocyte differentiation in the infarcted heart and suggest that modulating monocyte fate decisions may have clinical implications.
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Direct links to NCBI, no account and no request form: the whole study as GSE252086_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1057717 and SRA study SRP480254. Searching any of these in the dataset finder brings you back here.

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