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PCMDB: a curated and comprehensive resource of plant cell markers

The advent of single-cell sequencing opened a new era in transcriptomic and genomic research. To understand cell composition using single-cell studies, a variety of cell markers have been widely used to label individual cell types. However, the specific database of cell markers for use by the plant...

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Autores principales: Jin, Jingjing, Lu, Peng, Xu, Yalong, Tao, Jiemeng, Li, Zefeng, Wang, Shuaibin, Yu, Shizhou, Wang, Chen, Xie, Xiaodong, Gao, Junping, Chen, Qiansi, Wang, Lin, Pu, Wenxuan, Cao, Peijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728192/
https://www.ncbi.nlm.nih.gov/pubmed/34718712
http://dx.doi.org/10.1093/nar/gkab949
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author Jin, Jingjing
Lu, Peng
Xu, Yalong
Tao, Jiemeng
Li, Zefeng
Wang, Shuaibin
Yu, Shizhou
Wang, Chen
Xie, Xiaodong
Gao, Junping
Chen, Qiansi
Wang, Lin
Pu, Wenxuan
Cao, Peijian
author_facet Jin, Jingjing
Lu, Peng
Xu, Yalong
Tao, Jiemeng
Li, Zefeng
Wang, Shuaibin
Yu, Shizhou
Wang, Chen
Xie, Xiaodong
Gao, Junping
Chen, Qiansi
Wang, Lin
Pu, Wenxuan
Cao, Peijian
author_sort Jin, Jingjing
collection PubMed
description The advent of single-cell sequencing opened a new era in transcriptomic and genomic research. To understand cell composition using single-cell studies, a variety of cell markers have been widely used to label individual cell types. However, the specific database of cell markers for use by the plant research community remains very limited. To overcome this problem, we developed the Plant Cell Marker DataBase (PCMDB, http://www.tobaccodb.org/pcmdb/), which is based on a uniform annotation pipeline. By manually curating over 130 000 research publications, we collected a total of 81 117 cell marker genes of 263 cell types in 22 tissues across six plant species. Tissue- and cell-specific expression patterns can be visualized using multiple tools: eFP Browser, Bar, and UMAP/TSNE graph. The PCMDB also supports several analysis tools, including SCSA and SingleR, which allows for user annotation of cell types. To provide information about plant species currently unsupported in PCMDB, potential marker genes for other plant species can be searched based on homology with the supported species. PCMDB is a user-friendly hierarchical platform that contains five built-in search engines. We believe PCMDB will constitute a useful resource for researchers working on cell type annotation and the prediction of the biological function of individual cells.
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spelling pubmed-87281922022-01-05 PCMDB: a curated and comprehensive resource of plant cell markers Jin, Jingjing Lu, Peng Xu, Yalong Tao, Jiemeng Li, Zefeng Wang, Shuaibin Yu, Shizhou Wang, Chen Xie, Xiaodong Gao, Junping Chen, Qiansi Wang, Lin Pu, Wenxuan Cao, Peijian Nucleic Acids Res Database Issue The advent of single-cell sequencing opened a new era in transcriptomic and genomic research. To understand cell composition using single-cell studies, a variety of cell markers have been widely used to label individual cell types. However, the specific database of cell markers for use by the plant research community remains very limited. To overcome this problem, we developed the Plant Cell Marker DataBase (PCMDB, http://www.tobaccodb.org/pcmdb/), which is based on a uniform annotation pipeline. By manually curating over 130 000 research publications, we collected a total of 81 117 cell marker genes of 263 cell types in 22 tissues across six plant species. Tissue- and cell-specific expression patterns can be visualized using multiple tools: eFP Browser, Bar, and UMAP/TSNE graph. The PCMDB also supports several analysis tools, including SCSA and SingleR, which allows for user annotation of cell types. To provide information about plant species currently unsupported in PCMDB, potential marker genes for other plant species can be searched based on homology with the supported species. PCMDB is a user-friendly hierarchical platform that contains five built-in search engines. We believe PCMDB will constitute a useful resource for researchers working on cell type annotation and the prediction of the biological function of individual cells. Oxford University Press 2021-10-28 /pmc/articles/PMC8728192/ /pubmed/34718712 http://dx.doi.org/10.1093/nar/gkab949 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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
Jin, Jingjing
Lu, Peng
Xu, Yalong
Tao, Jiemeng
Li, Zefeng
Wang, Shuaibin
Yu, Shizhou
Wang, Chen
Xie, Xiaodong
Gao, Junping
Chen, Qiansi
Wang, Lin
Pu, Wenxuan
Cao, Peijian
PCMDB: a curated and comprehensive resource of plant cell markers
title PCMDB: a curated and comprehensive resource of plant cell markers
title_full PCMDB: a curated and comprehensive resource of plant cell markers
title_fullStr PCMDB: a curated and comprehensive resource of plant cell markers
title_full_unstemmed PCMDB: a curated and comprehensive resource of plant cell markers
title_short PCMDB: a curated and comprehensive resource of plant cell markers
title_sort pcmdb: a curated and comprehensive resource of plant cell markers
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728192/
https://www.ncbi.nlm.nih.gov/pubmed/34718712
http://dx.doi.org/10.1093/nar/gkab949
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