Cargando…

Tracing tumorigenesis in a solid tumor model at single-cell resolution

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Praktiknjo, Samantha D., Obermayer, Benedikt, Zhu, Qionghua, Fang, Liang, Liu, Haiyue, Quinn, Hazel, Stoeckius, Marlon, Kocks, Christine, Birchmeier, Walter, Rajewsky, Nikolaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033116/
https://www.ncbi.nlm.nih.gov/pubmed/32080185
http://dx.doi.org/10.1038/s41467-020-14777-0
_version_ 1783499593915301888
author Praktiknjo, Samantha D.
Obermayer, Benedikt
Zhu, Qionghua
Fang, Liang
Liu, Haiyue
Quinn, Hazel
Stoeckius, Marlon
Kocks, Christine
Birchmeier, Walter
Rajewsky, Nikolaus
author_facet Praktiknjo, Samantha D.
Obermayer, Benedikt
Zhu, Qionghua
Fang, Liang
Liu, Haiyue
Quinn, Hazel
Stoeckius, Marlon
Kocks, Christine
Birchmeier, Walter
Rajewsky, Nikolaus
author_sort Praktiknjo, Samantha D.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7033116
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70331162020-03-04 Tracing tumorigenesis in a solid tumor model at single-cell resolution Praktiknjo, Samantha D. Obermayer, Benedikt Zhu, Qionghua Fang, Liang Liu, Haiyue Quinn, Hazel Stoeckius, Marlon Kocks, Christine Birchmeier, Walter Rajewsky, Nikolaus Nat Commun Article 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. Nature Publishing Group UK 2020-02-20 /pmc/articles/PMC7033116/ /pubmed/32080185 http://dx.doi.org/10.1038/s41467-020-14777-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Praktiknjo, Samantha D.
Obermayer, Benedikt
Zhu, Qionghua
Fang, Liang
Liu, Haiyue
Quinn, Hazel
Stoeckius, Marlon
Kocks, Christine
Birchmeier, Walter
Rajewsky, Nikolaus
Tracing tumorigenesis in a solid tumor model at single-cell resolution
title Tracing tumorigenesis in a solid tumor model at single-cell resolution
title_full Tracing tumorigenesis in a solid tumor model at single-cell resolution
title_fullStr Tracing tumorigenesis in a solid tumor model at single-cell resolution
title_full_unstemmed Tracing tumorigenesis in a solid tumor model at single-cell resolution
title_short Tracing tumorigenesis in a solid tumor model at single-cell resolution
title_sort tracing tumorigenesis in a solid tumor model at single-cell resolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033116/
https://www.ncbi.nlm.nih.gov/pubmed/32080185
http://dx.doi.org/10.1038/s41467-020-14777-0
work_keys_str_mv AT praktiknjosamanthad tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT obermayerbenedikt tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT zhuqionghua tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT fangliang tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT liuhaiyue tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT quinnhazel tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT stoeckiusmarlon tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT kockschristine tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT birchmeierwalter tracingtumorigenesisinasolidtumormodelatsinglecellresolution
AT rajewskynikolaus tracingtumorigenesisinasolidtumormodelatsinglecellresolution