Author
Listed:
- Samantha D. Praktiknjo
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
- Benedikt Obermayer
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association
Berlin Institute of Health, Charité – Universitätsmedizin Berlin)
- Qionghua Zhu
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association
Southern University of Science and Technology)
- Liang Fang
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association
Southern University of Science and Technology)
- Haiyue Liu
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
- Hazel Quinn
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
- Marlon Stoeckius
(New York Genome Center)
- Christine Kocks
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
- Walter Birchmeier
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
- Nikolaus Rajewsky
(Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
Abstract
Characterizing the complex composition of solid tumors is fundamental for understanding tumor initiation, progression and metastasis. While patient-derived samples provide valuable insight, they are heterogeneous on multiple molecular levels, and often originate from advanced tumor stages. Here, we use single-cell transcriptome and epitope profiling together with pathway and lineage analyses to study tumorigenesis from a developmental perspective in a mouse model of salivary gland squamous cell carcinoma. We provide a comprehensive cell atlas and characterize tumor-specific cells. We find that these cells are connected along a reproducible developmental trajectory: initiated in basal cells exhibiting an epithelial-to-mesenchymal transition signature, tumorigenesis proceeds through Wnt-differential cancer stem cell-like subpopulations before differentiating into luminal-like cells. Our work provides unbiased insights into tumor-specific cellular identities in a whole tissue environment, and emphasizes the power of using defined genetic model systems.
Suggested Citation
Samantha D. Praktiknjo & Benedikt Obermayer & Qionghua Zhu & Liang Fang & Haiyue Liu & Hazel Quinn & Marlon Stoeckius & Christine Kocks & Walter Birchmeier & Nikolaus Rajewsky, 2020.
"Tracing tumorigenesis in a solid tumor model at single-cell resolution,"
Nature Communications, Nature, vol. 11(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14777-0
DOI: 10.1038/s41467-020-14777-0
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