Researchers reveal cellular diversity of esophageal tissue

Researchers reveal cellular diversity of esophageal tissue
Identification of cell populations in murine esophageal epithelium. a Schematic overview of experimental design. b Expression z-scores for the top 5 upregulated genes in each cluster. Red indicates enrichment while blue indicates inhibition. c Seurat’s Uniform Manifold Approximation and Projection (UMAP) was used to identify distinct cell populations within the epithelial dataset. Eleven epithelial cell populations were identified. d Genes identified as primary contributors to UMAP based on their loadings are listed and their expression z-scores in cells across the epithelial dataset are shown. Red indicates enrichment while blue indicates inhibition. e, f Log1p normalized expression of the basal markers Krt14 and Krt5 (e) and superficial markers Fabp5, Krt13, Krt4, and Krtdap (f) across the epithelial dataset is shown. Purple indicates enrichment. g Representative image of RNA fluorescence in situ hybridization to visualize Krt5 and Krtdap in murine esophageal epithelium in situ (n = 6 animals). Scale bar, 50 μm. Credit: Nature Communications (2022). DOI: 10.1038/s41467-022-29747-x

In a study published today in the journal Nature Communications, researchers at the Lewis Katz School of Medicine at Temple University defined 11 subsets of cells found in the esophagus of mice, information that could potentially help clinicians diagnose or treat certain types of cancer.

The tissue in the —known as stratified squamous epithelium—is comprised of a basal layer that ultimately gives rise to several layers of differentiated cells. In this study, researchers sought to find out whether were all the same or if any differences existed in their gene expressions.

"This work lays the foundation to address questions about how these cells relate to the development of cancer," said Kelly Whelan, PhD, senior author on the study and Assistant Professor of Cancer and Cellular Biology and Assistant Professor in the Fels Cancer Institute for Personalized Medicine at the Lewis Katz School of Medicine.

"The next question we have is if we give a mouse a , does one particular subset expand or is another particular subset depleted? If so, we would want to know whether cell types that change in the context of cancer are functionally contributing to the cancer process and whether we can target them to help treat or prevent cancer," she said. 

To begin to address these questions, Whelan and her fellow researchers used single cell gene-expression profiling, a tool that identifies all the genes in a cell or tissue that make messenger RNA. These profiles can then be used to identify individual cell types within a complex tissue.

"Essentially, we took more than 40,000 cells from mouse esophageal epithelium and used their individual gene-expression profiles to group them based on their commonality," she said.

When they started the study, Whelan said the researchers expected to find about three subsets of cells classified as basal, but they actually found six subsets, as well as four that were classified as differentiated. Additionally, one cell type was found to have characteristics of both basal and differentiated cells and was defined as an intermediate cell type.

"We are now working to isolate these individual cell types in order to determine what the cells do functionally in terms of esophageal biology in the normal context first and then in the context of . This study is a fundamental step toward that," said Whelan.

More information: Mohammad Faujul Kabir et al, Single cell transcriptomic analysis reveals cellular diversity of murine esophageal epithelium, Nature Communications (2022). DOI: 10.1038/s41467-022-29747-x

Journal information: Nature Communications

Provided by Temple University

Citation: Researchers reveal cellular diversity of esophageal tissue (2022, April 22) retrieved 17 April 2024 from https://phys.org/news/2022-04-reveal-cellular-diversity-esophageal-tissue.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Gene expression profile allows identification of anti-tumor immune cells for personalized immunotherapy

98 shares

Feedback to editors