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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Preparation of a Non-Cardiomyocyte Cell Suspension for Single-Cell RNA Sequencing from a Post-Myocardial Infarction Adult Mouse Heart
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Machine Learning Integrates Bulk and Single-Nucleus RNA Sequence to Explore Apoptosis-Related Gene in Myocardial

Bin Li1,2, Yuan Wu1,2, Shude Liao2

  • 1Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China, rmhospital.com.

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|March 19, 2026
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Fibroblasts drive apoptosis after myocardial infarction (MI). TNFRSF12A is identified as a key regulator of apoptosis in MI, offering potential as a diagnostic biomarker and therapeutic target.

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TNFRSF12Abioinformaticsmachine learningmyocardial infarction

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Area of Science:

  • Cardiovascular Biology
  • Molecular Biology
  • Genomics

Background:

  • Myocardial infarction (MI) is a leading cause of cardiovascular death.
  • Apoptosis is critical in cardiac remodeling post-MI but poorly understood at the single-cell level.
  • Bulk RNA sequencing has limitations in characterizing cellular heterogeneity in MI.

Purpose of the Study:

  • To elucidate the role of apoptosis in cardiac remodeling after MI at single-cell resolution.
  • To identify key molecular regulators of apoptosis in MI progression.
  • To explore the potential of identified regulators as diagnostic or therapeutic targets.

Main Methods:

  • Integrated multiomics data from single-nucleus RNA sequencing (snRNA-seq) and bulk RNA sequencing.
  • Analyzed 397 apoptosis-related genes (ARGs) using AUCell scoring and correlation analysis.
  • Employed Random Forest, Boruta, and LASSO algorithms to identify hub genes, validated in vitro and in vivo.

Main Results:

  • Single-nucleus analysis revealed significant variation in ARG activity across cardiac cells post-MI.
  • Fibroblasts exhibited markedly higher apoptotic activity compared to other cardiac cell types.
  • TNFRSF12A was identified as a key regulator of ARG activation in MI and validated in experimental models.

Conclusions:

  • Fibroblast-mediated apoptosis is a dominant process following MI.
  • TNFRSF12A is a crucial regulator in MI, demonstrating potential as a diagnostic biomarker and therapeutic target.
  • Multiomics integration provides novel insights into cellular mechanisms of MI.