ArticleScientific data2026
Single-cell and spatial transcriptomic profiling of cardiac fibroblasts following myocardial infarction.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Review
- Genetic drivers of congenital cardiac fibrosis.Communications biology · 2026Review
- Multiplex Fluorescent mRNA In Situ Hybridization of Developing Craniofacial Tissues in FFPE Mouse Samples.Journal of visualized experiments : JoVE · 2026Article
- Network Pharmacology and Single-Cell Transcriptomic Investigation of Molecular Mechanisms UnderlyingInternational journal of genomics · 2026Article
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Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiac fibroblasts (CFs) are key mediators of heart repair following myocardial infarction (MI). A specific CF subpopulation, termed Reparative Cardiac Fibroblasts (RCFs), has been shown to orchestrate scar formation and prevent ventricular rupture after MI. However, the timing of RCF appearance and the molecular events underlying this transition remain largely undefined. Here, we present a multi-modal dataset capturing the transcriptional dynamics of CFs during the early phase post-MI. Our integrative dataset combines bulk RNA sequencing, RNAscope in situ hybridization, and spatial transcriptomics to anatomically and temporally map the gene expression changes associated with the transition into RCFs. The dataset provides resources to characterize the distinct molecular programs that guide the emergence of RCFs from Periostin (Postn)
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.