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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8728192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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