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Related Experiment Video

Updated: Aug 12, 2025

Preparation of Murine Submandibular Salivary Gland for Upright Intravital Microscopy

Preparation of Murine Submandibular Salivary Gland for Upright Intravital Microscopy

Published on: May 7, 2018

High-Resolution Transcriptomic Landscape of the Human Submandibular Gland.

E Horeth¹, J Bard^2,3, M Che¹

¹Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA.

Journal of Dental Research

|February 2, 2023

Summary

This summary is machine-generated.

This study reveals the diverse cell types and molecular landscape of the human submandibular gland (SMG) using single-cell RNA sequencing. It provides a valuable resource for understanding SMG biology and disease.

Keywords:

gene expression salivary glands single-cell RNA-sequencing transcription factors transcriptomics

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Area of Science:

Genomics
Cell Biology
Human Physiology

Background:

Human salivary glands are crucial for physiology but lack comprehensive molecular characterization at single-cell resolution.
Difficulties in obtaining normal human tissues hinder detailed analysis.

Purpose of the Study:

To perform an in-depth molecular analysis of adult human submandibular gland (SMG) samples.
To characterize heterogeneous cell populations using single-cell RNA sequencing (scRNA-seq).

Main Methods:

Bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) on human SMG samples.
Bioinformatic analyses including deconvolution, CellChat for interactome prediction, and trajectory inference.

Main Results:

Identified diverse epithelial and nonepithelial cell clusters in the SMG, recapitulated by bulk RNA data deconvolution.
Revealed transcriptomic heterogeneity within ductal and acinar cells, identifying human-specific mucoacinar cells and ionocytes.
Mapped cell-cell communication networks and inferred differentiation pathways within the adult SMG.

Conclusions:

The study provides a high-resolution molecular atlas of the human SMG.
Offers insights into the complex cellular composition, communication, and differentiation processes.
Serves as a valuable resource for understanding SMG biology and pathophysiology.