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Related Experiment Video

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An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
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An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level.

Payam Haftbaradaran Esfahani1, Ralph Knöll2

  • 1Department of Medicine, Integrated Cardio Metabolic Centre (ICMC), Heart and Vascular Theme, Karolinska Institutet; payam.haftbaradaran@ki.se.

Journal of Visualized Experiments : Jove
|November 16, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to study how cardiac myocyte (CM) shape affects gene expression in heart failure. This technique allows for single-cell analysis of CMs with specific morphologies linked to different heart conditions.

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Area of Science:

  • Cardiovascular Biology
  • Molecular Biology
  • Biotechnology

Background:

  • Cardiac myocyte (CM) volume changes are linked to hypertrophy, but the impact of cell shape on gene expression is less understood.
  • Existing methods lack the ability to systematically analyze the effects of CM morphology on gene expression.

Purpose of the Study:

  • To develop and validate a novel platform for systematically analyzing the effects of cardiac myocyte (CM) morphology on gene expression.
  • To enable the characterization of single CM transcriptomes based on defined geometrical morphotypes relevant to heart failure (HF).

Main Methods:

  • Development of a single-cell trapping strategy combined with single-cell mRNA sequencing.
  • Design of a micropatterned chip with fibronectin micropatterns to culture CMs at specific length:width aspect ratios (AR).
  • Implementation of a semi-automated micro-pipetting cell picker for isolating single CMs for transcriptomic profiling.

Main Results:

  • Successfully cultured CMs in defined shapes mimicking different heart failure pathologies (e.g., hypertrophic cardiomyopathy, dilated cardiomyopathy).
  • Enabled transcriptomic profiling of single CMs with distinct geometrical morphotypes.
  • Established a method to link CM morphology to specific pathological conditions at a single-cell level.

Conclusions:

  • The presented platform offers a novel approach to study CM morphology and its impact on gene expression.
  • This method facilitates high-throughput screening for potential therapeutics targeting different types of heart failure.
  • Provides a foundation for understanding the role of cell shape in cardiac pathophysiology.