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CancerSEA: a cancer single-cell state atlas
High functional heterogeneity of cancer cells poses a major challenge for cancer research. Single-cell sequencing technology provides an unprecedented opportunity to decipher diverse functional states of cancer cells at single-cell resolution, and cancer scRNA-seq datasets have been largely accumula...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324047/ https://www.ncbi.nlm.nih.gov/pubmed/30329142 http://dx.doi.org/10.1093/nar/gky939 |
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author | Yuan, Huating Yan, Min Zhang, Guanxiong Liu, Wei Deng, Chunyu Liao, Gaoming Xu, Liwen Luo, Tao Yan, Haoteng Long, Zhilin Shi, Aiai Zhao, Tingting Xiao, Yun Li, Xia |
author_facet | Yuan, Huating Yan, Min Zhang, Guanxiong Liu, Wei Deng, Chunyu Liao, Gaoming Xu, Liwen Luo, Tao Yan, Haoteng Long, Zhilin Shi, Aiai Zhao, Tingting Xiao, Yun Li, Xia |
author_sort | Yuan, Huating |
collection | PubMed |
description | High functional heterogeneity of cancer cells poses a major challenge for cancer research. Single-cell sequencing technology provides an unprecedented opportunity to decipher diverse functional states of cancer cells at single-cell resolution, and cancer scRNA-seq datasets have been largely accumulated. This emphasizes the urgent need to build a dedicated resource to decode the functional states of cancer single cells. Here, we developed CancerSEA (http://biocc.hrbmu.edu.cn/CancerSEA/ or http://202.97.205.69/CancerSEA/), the first dedicated database that aims to comprehensively explore distinct functional states of cancer cells at the single-cell level. CancerSEA portrays a cancer single-cell functional state atlas, involving 14 functional states (including stemness, invasion, metastasis, proliferation, EMT, angiogenesis, apoptosis, cell cycle, differentiation, DNA damage, DNA repair, hypoxia, inflammation and quiescence) of 41 900 cancer single cells from 25 cancer types. It allows querying which functional states are associated with the gene (or gene list) of interest in different cancers. CancerSEA also provides functional state-associated PCG/lncRNA repertoires across all cancers, in specific cancers, and in individual cancer single-cell datasets. In summary, CancerSEA provides a user-friendly interface for comprehensively searching, browsing, visualizing and downloading functional state activity profiles of tens of thousands of cancer single cells and the corresponding PCGs/lncRNAs expression profiles. |
format | Online Article Text |
id | pubmed-6324047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63240472019-01-10 CancerSEA: a cancer single-cell state atlas Yuan, Huating Yan, Min Zhang, Guanxiong Liu, Wei Deng, Chunyu Liao, Gaoming Xu, Liwen Luo, Tao Yan, Haoteng Long, Zhilin Shi, Aiai Zhao, Tingting Xiao, Yun Li, Xia Nucleic Acids Res Database Issue High functional heterogeneity of cancer cells poses a major challenge for cancer research. Single-cell sequencing technology provides an unprecedented opportunity to decipher diverse functional states of cancer cells at single-cell resolution, and cancer scRNA-seq datasets have been largely accumulated. This emphasizes the urgent need to build a dedicated resource to decode the functional states of cancer single cells. Here, we developed CancerSEA (http://biocc.hrbmu.edu.cn/CancerSEA/ or http://202.97.205.69/CancerSEA/), the first dedicated database that aims to comprehensively explore distinct functional states of cancer cells at the single-cell level. CancerSEA portrays a cancer single-cell functional state atlas, involving 14 functional states (including stemness, invasion, metastasis, proliferation, EMT, angiogenesis, apoptosis, cell cycle, differentiation, DNA damage, DNA repair, hypoxia, inflammation and quiescence) of 41 900 cancer single cells from 25 cancer types. It allows querying which functional states are associated with the gene (or gene list) of interest in different cancers. CancerSEA also provides functional state-associated PCG/lncRNA repertoires across all cancers, in specific cancers, and in individual cancer single-cell datasets. In summary, CancerSEA provides a user-friendly interface for comprehensively searching, browsing, visualizing and downloading functional state activity profiles of tens of thousands of cancer single cells and the corresponding PCGs/lncRNAs expression profiles. Oxford University Press 2019-01-08 2018-10-17 /pmc/articles/PMC6324047/ /pubmed/30329142 http://dx.doi.org/10.1093/nar/gky939 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Yuan, Huating Yan, Min Zhang, Guanxiong Liu, Wei Deng, Chunyu Liao, Gaoming Xu, Liwen Luo, Tao Yan, Haoteng Long, Zhilin Shi, Aiai Zhao, Tingting Xiao, Yun Li, Xia CancerSEA: a cancer single-cell state atlas |
title | CancerSEA: a cancer single-cell state atlas |
title_full | CancerSEA: a cancer single-cell state atlas |
title_fullStr | CancerSEA: a cancer single-cell state atlas |
title_full_unstemmed | CancerSEA: a cancer single-cell state atlas |
title_short | CancerSEA: a cancer single-cell state atlas |
title_sort | cancersea: a cancer single-cell state atlas |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324047/ https://www.ncbi.nlm.nih.gov/pubmed/30329142 http://dx.doi.org/10.1093/nar/gky939 |
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