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Cellular heterogeneity during mouse pancreatic ductal adenocarcinoma progression at single-cell resolution
Abdel Nasser Hosein, … , Udit Verma, Rolf A. Brekken
Abdel Nasser Hosein, … , Udit Verma, Rolf A. Brekken
Published July 23, 2019
Citation Information: JCI Insight. 2019;4(16):e129212. https://doi.org/10.1172/jci.insight.129212.
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Research Article Gastroenterology Oncology

Cellular heterogeneity during mouse pancreatic ductal adenocarcinoma progression at single-cell resolution

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Abstract

Pancreatic ductal adenocarcinoma (PDA) is a major cause of cancer-related death, with limited therapeutic options available. This highlights the need for improved understanding of the biology of PDA progression, a highly complex and dynamic process, featuring changes in cancer cells and stromal cells. A comprehensive characterization of PDA cancer cell and stromal cell heterogeneity during disease progression is lacking. In this study, we aimed to profile cell populations and understand their phenotypic changes during PDA progression. To that end, we used single-cell RNA–sequencing technology to agnostically profile cell heterogeneity during different stages of PDA progression in genetically engineered mouse models. Our data indicate that an epithelial-mesenchymal transition of cancer cells accompanies tumor progression in addition to distinct populations of macrophages with increasing inflammatory features. We also noted the existence of 3 distinct molecular subtypes of fibroblasts in the normal mouse pancreas, which ultimately gave rise to 2 distinct populations of fibroblasts in advanced PDA, supporting recent reports on intratumor fibroblast heterogeneity. Our data also suggest that cancer cells and fibroblasts may be dynamically regulated by epigenetic mechanisms. This study systematically describes the landscape of cellular heterogeneity during the progression of PDA and has the potential to act as a resource in the development of therapeutic strategies against specific cell populations of the disease.

Authors

Abdel Nasser Hosein, Huocong Huang, Zhaoning Wang, Kamalpreet Parmar, Wenting Du, Jonathan Huang, Anirban Maitra, Eric Olson, Udit Verma, Rolf A. Brekken

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Figure 3

Comparison between cancer cells of KIC and KPfC tumors.

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Comparison between cancer cells of KIC and KPfC tumors.
(A) tSNE plot of...
(A) tSNE plot of the late KPfC lesion displaying 2893 cells and 8 distinct cell populations (tumor analyzed from 1 mouse). (B) Stacked violin plots showing representative marker gene expression for each of the cell populations seen in the late KPfC lesion. (C) Single-gene tSNE plots of the KPfC tumor displaying the presence of epithelial markers (Ocln, Gjb1, and Tjp1) in the epithelial cancer cell population (top black-outlined population) and mesenchymal markers (Vim, Cd44, and Axl) in the mesenchymal cancer cell population (bottom black-outlined population). (D) Single-cell profiling heatmap comparing all cancer cells in late KIC versus all cancer cells in late KPfC. Each column represents an individual cell, and each row is the gene expression value for a single gene.

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