Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression

Intermediate cell states (ICSs) during the epithelial–mesenchymal transition (EMT) are emerging as a driving force of cancer invasion and metastasis. ICSs typically exhibit hybrid epithelial/mesenchymal characteristics as well as cancer stem cell (CSC) traits including proliferation and drug resista...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Federico Bocci, Peijie Zhou, Qing Nie
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	EMT cancer stem cells cell–cell signaling scRNA-seq epithelial–mesenchymal plasticity hybrid E/M Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/c7fc6915883b4b429d859f6f56a7b82b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c7fc6915883b4b429d859f6f56a7b82b
record_format	dspace
spelling	oai:doaj.org-article:c7fc6915883b4b429d859f6f56a7b82b2021-11-25T17:03:32ZSingle-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression10.3390/cancers132257262072-6694https://doaj.org/article/c7fc6915883b4b429d859f6f56a7b82b2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5726https://doaj.org/toc/2072-6694Intermediate cell states (ICSs) during the epithelial–mesenchymal transition (EMT) are emerging as a driving force of cancer invasion and metastasis. ICSs typically exhibit hybrid epithelial/mesenchymal characteristics as well as cancer stem cell (CSC) traits including proliferation and drug resistance. Here, we analyze several single-cell RNA-seq (scRNA-seq) datasets to investigate the relation between several axes of cancer progression including EMT, CSC traits, and cell–cell signaling. To accomplish this task, we integrate computational methods for clustering and trajectory inference with analysis of EMT gene signatures, CSC markers, and cell–cell signaling pathways, and highlight conserved and specific processes across the datasets. Our analysis reveals that “standard” measures of pluripotency often used in developmental contexts do not necessarily correlate with EMT progression and expression of CSC-related markers. Conversely, an EMT circuit energy that quantifies the co-expression of epithelial and mesenchymal genes consistently increases along EMT trajectories across different cancer types and anatomical locations. Moreover, despite the high context specificity of signal transduction across different cell types, cells undergoing EMT always increased their potential to send and receive signals from other cells.Federico BocciPeijie ZhouQing NieMDPI AGarticleEMTcancer stem cellscell–cell signalingscRNA-seqepithelial–mesenchymal plasticityhybrid E/MNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5726, p 5726 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	EMT cancer stem cells cell–cell signaling scRNA-seq epithelial–mesenchymal plasticity hybrid E/M Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	EMT cancer stem cells cell–cell signaling scRNA-seq epithelial–mesenchymal plasticity hybrid E/M Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Federico Bocci Peijie Zhou Qing Nie Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression
description	Intermediate cell states (ICSs) during the epithelial–mesenchymal transition (EMT) are emerging as a driving force of cancer invasion and metastasis. ICSs typically exhibit hybrid epithelial/mesenchymal characteristics as well as cancer stem cell (CSC) traits including proliferation and drug resistance. Here, we analyze several single-cell RNA-seq (scRNA-seq) datasets to investigate the relation between several axes of cancer progression including EMT, CSC traits, and cell–cell signaling. To accomplish this task, we integrate computational methods for clustering and trajectory inference with analysis of EMT gene signatures, CSC markers, and cell–cell signaling pathways, and highlight conserved and specific processes across the datasets. Our analysis reveals that “standard” measures of pluripotency often used in developmental contexts do not necessarily correlate with EMT progression and expression of CSC-related markers. Conversely, an EMT circuit energy that quantifies the co-expression of epithelial and mesenchymal genes consistently increases along EMT trajectories across different cancer types and anatomical locations. Moreover, despite the high context specificity of signal transduction across different cell types, cells undergoing EMT always increased their potential to send and receive signals from other cells.
format	article
author	Federico Bocci Peijie Zhou Qing Nie
author_facet	Federico Bocci Peijie Zhou Qing Nie
author_sort	Federico Bocci
title	Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression
title_short	Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression
title_full	Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression
title_fullStr	Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression
title_full_unstemmed	Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression
title_sort	single-cell rna-seq analysis reveals the acquisition of cancer stem cell traits and increase of cell–cell signaling during emt progression
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c7fc6915883b4b429d859f6f56a7b82b
work_keys_str_mv	AT federicobocci singlecellrnaseqanalysisrevealstheacquisitionofcancerstemcelltraitsandincreaseofcellcellsignalingduringemtprogression AT peijiezhou singlecellrnaseqanalysisrevealstheacquisitionofcancerstemcelltraitsandincreaseofcellcellsignalingduringemtprogression AT qingnie singlecellrnaseqanalysisrevealstheacquisitionofcancerstemcelltraitsandincreaseofcellcellsignalingduringemtprogression
_version_	1718412802773745664

Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression

Ejemplares similares