Cargando…

Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA

Human Ensemble Cell Atlas (hECA) provides a unified informatics framework and the cell-centric-assembled single-cell transcriptome data of 1,093,299 labeled human cells from 116 published datasets. In this protocol, we provide three applications of hECA: “quantitative portraiture” exploration with w...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yixin, Hao, Minsheng, Gao, Haoxiang, Li, Jiaqi, Chen, Sijie, Li, Fanhong, Wei, Lei, Zhang, Xuegong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356166/
https://www.ncbi.nlm.nih.gov/pubmed/35942342
http://dx.doi.org/10.1016/j.xpro.2022.101589
_version_ 1784763456707100672
author Chen, Yixin
Hao, Minsheng
Gao, Haoxiang
Li, Jiaqi
Chen, Sijie
Li, Fanhong
Wei, Lei
Zhang, Xuegong
author_facet Chen, Yixin
Hao, Minsheng
Gao, Haoxiang
Li, Jiaqi
Chen, Sijie
Li, Fanhong
Wei, Lei
Zhang, Xuegong
author_sort Chen, Yixin
collection PubMed
description Human Ensemble Cell Atlas (hECA) provides a unified informatics framework and the cell-centric-assembled single-cell transcriptome data of 1,093,299 labeled human cells from 116 published datasets. In this protocol, we provide three applications of hECA: “quantitative portraiture” exploration with websites, customizable reference creation for automatic cell type annotation, and “in data” cell sorting with logical conditions. We provide detail steps of connecting to the database, searching cell with conditions, downloading data, and annotating new datasets with customized reference. For complete details on the use and execution of this protocol, please refer to Chen et al. (2022).
format Online
Article
Text
id pubmed-9356166
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-93561662022-08-07 Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA Chen, Yixin Hao, Minsheng Gao, Haoxiang Li, Jiaqi Chen, Sijie Li, Fanhong Wei, Lei Zhang, Xuegong STAR Protoc Protocol Human Ensemble Cell Atlas (hECA) provides a unified informatics framework and the cell-centric-assembled single-cell transcriptome data of 1,093,299 labeled human cells from 116 published datasets. In this protocol, we provide three applications of hECA: “quantitative portraiture” exploration with websites, customizable reference creation for automatic cell type annotation, and “in data” cell sorting with logical conditions. We provide detail steps of connecting to the database, searching cell with conditions, downloading data, and annotating new datasets with customized reference. For complete details on the use and execution of this protocol, please refer to Chen et al. (2022). Elsevier 2022-07-31 /pmc/articles/PMC9356166/ /pubmed/35942342 http://dx.doi.org/10.1016/j.xpro.2022.101589 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Chen, Yixin
Hao, Minsheng
Gao, Haoxiang
Li, Jiaqi
Chen, Sijie
Li, Fanhong
Wei, Lei
Zhang, Xuegong
Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA
title Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA
title_full Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA
title_fullStr Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA
title_full_unstemmed Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA
title_short Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA
title_sort protocol for profiling cell-centric assembled single-cell human transcriptome data in heca
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356166/
https://www.ncbi.nlm.nih.gov/pubmed/35942342
http://dx.doi.org/10.1016/j.xpro.2022.101589
work_keys_str_mv AT chenyixin protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT haominsheng protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT gaohaoxiang protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT lijiaqi protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT chensijie protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT lifanhong protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT weilei protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca
AT zhangxuegong protocolforprofilingcellcentricassembledsinglecellhumantranscriptomedatainheca