Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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
_version_ 1783385899241832448
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
work_keys_str_mv AT yuanhuating cancerseaacancersinglecellstateatlas
AT yanmin cancerseaacancersinglecellstateatlas
AT zhangguanxiong cancerseaacancersinglecellstateatlas
AT liuwei cancerseaacancersinglecellstateatlas
AT dengchunyu cancerseaacancersinglecellstateatlas
AT liaogaoming cancerseaacancersinglecellstateatlas
AT xuliwen cancerseaacancersinglecellstateatlas
AT luotao cancerseaacancersinglecellstateatlas
AT yanhaoteng cancerseaacancersinglecellstateatlas
AT longzhilin cancerseaacancersinglecellstateatlas
AT shiaiai cancerseaacancersinglecellstateatlas
AT zhaotingting cancerseaacancersinglecellstateatlas
AT xiaoyun cancerseaacancersinglecellstateatlas
AT lixia cancerseaacancersinglecellstateatlas