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Related Experiment Video

Updated: Jul 2, 2025

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High-Resolution Profiling of Human Vocal Fold Cellular Landscapes With Single-Nuclei RNA Sequencing.

Benjamin M Laitman1, Daniel Charytonowicz2, Ashley J Zhu2

  • 1Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.

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|February 28, 2024
PubMed
Summary
This summary is machine-generated.

This study used single-nuclei RNA sequencing to map the cellular landscape of human vocal folds (VFs). Findings reveal diverse cell subpopulations, offering potential new targets for vocal fold disease research.

Keywords:
cellular architecturesingle nuclei RNA sequencingvocal fold

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Area of Science:

  • Laryngeal Anatomy and Physiology
  • Single-cell Genomics
  • Translational Medicine

Background:

  • Vocal fold (VF) function depends on cellular composition and microenvironment.
  • Understanding VF cellular heterogeneity is key to diagnosing and treating laryngeal diseases.
  • Previous research on VF cellular diversity is limited.

Purpose of the Study:

  • To investigate the cellular heterogeneity of normal human vocal folds.
  • To create a comprehensive cellular map of the vocal folds using advanced sequencing techniques.

Main Methods:

  • Human true vocal fold tissue was obtained from five patients undergoing pitch elevation surgery.
  • Single-nuclei RNA sequencing was performed using the 10X Genomics Chromium platform.
  • Data analysis involved cellranger for read assembly and scanpy for computational analysis.

Main Results:

  • Single-nuclei RNA sequencing identified 18 distinct cell clusters within the vocal folds.
  • Major cell types including epithelial, fibroblast, immune, muscle, and endothelial cells were detected.
  • Subcluster analysis revealed unique subpopulations within epithelial, immune, and fibroblast cell categories.

Conclusions:

  • This study provides a detailed cellular map of normal human vocal folds.
  • Further validation with spatial sequencing and microscopy is recommended.
  • The identified cellular landscape may reveal novel therapeutic targets for vocal fold disorders.