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Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data

Osteosarcoma (OS) is a common bone cancer in children and adolescents, and metastasis and recurrence are the major causes of poor treatment outcomes. A better understanding of the tumor microenvironment is required to develop an effective treatment for OS. In this paper, a single-cell RNA sequencing...

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Autores principales: Xu, Ning, Wang, Xiaojing, Wang, Lili, Song, Yuan, Zheng, Xianyou, Hu, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592772/
https://www.ncbi.nlm.nih.gov/pubmed/36303551
http://dx.doi.org/10.3389/fgene.2022.1013737
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author Xu, Ning
Wang, Xiaojing
Wang, Lili
Song, Yuan
Zheng, Xianyou
Hu, Hai
author_facet Xu, Ning
Wang, Xiaojing
Wang, Lili
Song, Yuan
Zheng, Xianyou
Hu, Hai
author_sort Xu, Ning
collection PubMed
description Osteosarcoma (OS) is a common bone cancer in children and adolescents, and metastasis and recurrence are the major causes of poor treatment outcomes. A better understanding of the tumor microenvironment is required to develop an effective treatment for OS. In this paper, a single-cell RNA sequencing dataset was taken to a systematic genetic analysis, and potential signaling pathways linked with osteosarcoma development were explored. Our findings revealed 25 clusters across 11 osteosarcoma tissues, with 11 cell types including “Chondroblastic cells”, “Osteoblastic cells”, “Myeloid cells”, “Pericytes”, “Fibroblasts”, “Proliferating osteoblastic cells”, “Osteoclasts”, “TILs”, “Endothelial cells”, “Mesenchymal stem cells”, and “Myoblasts”. The results of Cell communication analysis showed 17 potential cellular communication networks including “COLLAGEN signaling pathway network”, “CD99 signaling pathway network”, “PTN signaling pathway network”, “MIF signaling pathway network”, “SPP1 signaling pathway network”, “FN1 signaling pathway network”, “LAMININ signaling pathway network”, “FGF signaling pathway network”, “VEGF signaling pathway network”, “GALECTIN signaling pathway network”, “PERIOSTIN signaling pathway network”, “VISFATIN signaling pathway network”, “ITGB2 signaling pathway network”, “NOTCH signaling pathway network”, “IGF signaling pathway network”, “VWF signaling pathway network”, “PDGF signaling pathway network”. This research may provide novel insights into the pathophysiology of OS’s molecular processes.
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spelling pubmed-95927722022-10-26 Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data Xu, Ning Wang, Xiaojing Wang, Lili Song, Yuan Zheng, Xianyou Hu, Hai Front Genet Genetics Osteosarcoma (OS) is a common bone cancer in children and adolescents, and metastasis and recurrence are the major causes of poor treatment outcomes. A better understanding of the tumor microenvironment is required to develop an effective treatment for OS. In this paper, a single-cell RNA sequencing dataset was taken to a systematic genetic analysis, and potential signaling pathways linked with osteosarcoma development were explored. Our findings revealed 25 clusters across 11 osteosarcoma tissues, with 11 cell types including “Chondroblastic cells”, “Osteoblastic cells”, “Myeloid cells”, “Pericytes”, “Fibroblasts”, “Proliferating osteoblastic cells”, “Osteoclasts”, “TILs”, “Endothelial cells”, “Mesenchymal stem cells”, and “Myoblasts”. The results of Cell communication analysis showed 17 potential cellular communication networks including “COLLAGEN signaling pathway network”, “CD99 signaling pathway network”, “PTN signaling pathway network”, “MIF signaling pathway network”, “SPP1 signaling pathway network”, “FN1 signaling pathway network”, “LAMININ signaling pathway network”, “FGF signaling pathway network”, “VEGF signaling pathway network”, “GALECTIN signaling pathway network”, “PERIOSTIN signaling pathway network”, “VISFATIN signaling pathway network”, “ITGB2 signaling pathway network”, “NOTCH signaling pathway network”, “IGF signaling pathway network”, “VWF signaling pathway network”, “PDGF signaling pathway network”. This research may provide novel insights into the pathophysiology of OS’s molecular processes. Frontiers Media S.A. 2022-10-11 /pmc/articles/PMC9592772/ /pubmed/36303551 http://dx.doi.org/10.3389/fgene.2022.1013737 Text en Copyright © 2022 Xu, Wang, Wang, Song, Zheng and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Xu, Ning
Wang, Xiaojing
Wang, Lili
Song, Yuan
Zheng, Xianyou
Hu, Hai
Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data
title Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data
title_full Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data
title_fullStr Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data
title_full_unstemmed Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data
title_short Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data
title_sort comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell rna sequencing data
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592772/
https://www.ncbi.nlm.nih.gov/pubmed/36303551
http://dx.doi.org/10.3389/fgene.2022.1013737
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