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Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis

Single-cell RNA sequencing presents the sophisticated delineation of cell transcriptomes in many cancer types and highlights the tumor heterogeneity at higher resolution, which provides a new chance to explore the molecular mechanism in a minority of cells. In this study, we utilized publicly availa...

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Autores principales: Pang, Lin, Hu, Jing, Li, Feng, Yuan, Huating, Yan, Min, Liao, Gaoming, Xu, Liwen, Pang, Bo, Ping, Yanyan, Xiao, Yun, Li, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966673/
https://www.ncbi.nlm.nih.gov/pubmed/31888172
http://dx.doi.org/10.3390/cancers11122025
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author Pang, Lin
Hu, Jing
Li, Feng
Yuan, Huating
Yan, Min
Liao, Gaoming
Xu, Liwen
Pang, Bo
Ping, Yanyan
Xiao, Yun
Li, Xia
author_facet Pang, Lin
Hu, Jing
Li, Feng
Yuan, Huating
Yan, Min
Liao, Gaoming
Xu, Liwen
Pang, Bo
Ping, Yanyan
Xiao, Yun
Li, Xia
author_sort Pang, Lin
collection PubMed
description Single-cell RNA sequencing presents the sophisticated delineation of cell transcriptomes in many cancer types and highlights the tumor heterogeneity at higher resolution, which provides a new chance to explore the molecular mechanism in a minority of cells. In this study, we utilized publicly available single-cell RNA-seq data to discover and comprehensively dissect rare genes existing in few glioblastoma (GBM) cells. Moreover, we designed a framework to systematically identify 51 rare protein-coding genes (PCGs) and 47 rare long non-coding RNAs (lncRNAs) in GBM. Patients with high expression levels of rare genes like CYB5R2 and TPPP3 had worse overall survival and disease-free survival, implying their potential implication in GBM progression and prognosis. We found that these rare genes tended to be specifically expressed in GBM cancer stem cells, which emphasized their ability to characterize stem-like cancer cells and implied their contribution to GBM growth. Furthermore, rare genes were enriched in a 17-cell subset, which was located in an individual branch of the pseudotime trajectory of cancer progression and exhibited high cell cycle activity and invasive potential. Our study captures the rare genes highly expressed in few cells, deepens our understanding of special states during GBM tumorigenesis and progression such as cancer stemness and invasion, and proposes potential targets for cancer therapy.
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spelling pubmed-69666732020-02-04 Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis Pang, Lin Hu, Jing Li, Feng Yuan, Huating Yan, Min Liao, Gaoming Xu, Liwen Pang, Bo Ping, Yanyan Xiao, Yun Li, Xia Cancers (Basel) Article Single-cell RNA sequencing presents the sophisticated delineation of cell transcriptomes in many cancer types and highlights the tumor heterogeneity at higher resolution, which provides a new chance to explore the molecular mechanism in a minority of cells. In this study, we utilized publicly available single-cell RNA-seq data to discover and comprehensively dissect rare genes existing in few glioblastoma (GBM) cells. Moreover, we designed a framework to systematically identify 51 rare protein-coding genes (PCGs) and 47 rare long non-coding RNAs (lncRNAs) in GBM. Patients with high expression levels of rare genes like CYB5R2 and TPPP3 had worse overall survival and disease-free survival, implying their potential implication in GBM progression and prognosis. We found that these rare genes tended to be specifically expressed in GBM cancer stem cells, which emphasized their ability to characterize stem-like cancer cells and implied their contribution to GBM growth. Furthermore, rare genes were enriched in a 17-cell subset, which was located in an individual branch of the pseudotime trajectory of cancer progression and exhibited high cell cycle activity and invasive potential. Our study captures the rare genes highly expressed in few cells, deepens our understanding of special states during GBM tumorigenesis and progression such as cancer stemness and invasion, and proposes potential targets for cancer therapy. MDPI 2019-12-16 /pmc/articles/PMC6966673/ /pubmed/31888172 http://dx.doi.org/10.3390/cancers11122025 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pang, Lin
Hu, Jing
Li, Feng
Yuan, Huating
Yan, Min
Liao, Gaoming
Xu, Liwen
Pang, Bo
Ping, Yanyan
Xiao, Yun
Li, Xia
Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
title Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
title_full Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
title_fullStr Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
title_full_unstemmed Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
title_short Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
title_sort discovering rare genes contributing to cancer stemness and invasive potential by gbm single-cell transcriptional analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966673/
https://www.ncbi.nlm.nih.gov/pubmed/31888172
http://dx.doi.org/10.3390/cancers11122025
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