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Updated: Dec 14, 2025

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
Published on: November 2, 2020
Cell shape: effects on gene expression and signaling
Payam Haftbaradaran Esfahani1, Ralph Knöll2,3
1ICMC (Integrated Cardio Metabolic Centre), Myocardial Genetics, Heart and Vascular Theme, Karolinska Institutet, University Hospital, Novum, Hiss A, våning 7, Hälsovägen 7-9, 141 57, Huddinge, Sweden.
Abstract:
The perception of biophysical forces (mechanosensation) and their conversion into chemical signals (mechanotransduction) are fundamental biological processes. They are connected to hypertrophic and atrophic cellular responses, and defects in these processes have been linked to various diseases, especially in the cardiovascular system. Although cardiomyocytes generate, and are exposed to, considerable hemodynamic forces that affect their shapes, until recently, we did not know whether cell shape affects gene expression. However, new single-cell trapping strategies, followed by single-cell RNA sequencing, to profile the transcriptomes of individual cardiomyocytes of defined geometrical morphotypes have been developed that are characteristic for either normal or pathological (afterload or preload) conditions. This paper reviews the recent literature with regard to cell shape and the transcriptome and provides an overview of this newly emerging field, which has far-reaching implications for both biology, disease, and possibly therapy.
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