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MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha

The liverwort Marchantia polymorpha is equipped with a wide range of molecular and genetic tools and resources that have led to its wide use to explore the evo-devo aspects of land plants. Although its diverse transcriptome data are rapidly accumulating, there is no extensive yet user-friendly tool...

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Autores principales: Kawamura, Shogo, Romani, Facundo, Yagura, Masaru, Mochizuki, Takako, Sakamoto, Mika, Yamaoka, Shohei, Nishihama, Ryuichi, Nakamura, Yasukazu, Yamato, Katsuyuki T, Bowman, John L, Kohchi, Takayuki, Tanizawa, Yasuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680858/
https://www.ncbi.nlm.nih.gov/pubmed/36083565
http://dx.doi.org/10.1093/pcp/pcac129
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author Kawamura, Shogo
Romani, Facundo
Yagura, Masaru
Mochizuki, Takako
Sakamoto, Mika
Yamaoka, Shohei
Nishihama, Ryuichi
Nakamura, Yasukazu
Yamato, Katsuyuki T
Bowman, John L
Kohchi, Takayuki
Tanizawa, Yasuhiro
author_facet Kawamura, Shogo
Romani, Facundo
Yagura, Masaru
Mochizuki, Takako
Sakamoto, Mika
Yamaoka, Shohei
Nishihama, Ryuichi
Nakamura, Yasukazu
Yamato, Katsuyuki T
Bowman, John L
Kohchi, Takayuki
Tanizawa, Yasuhiro
author_sort Kawamura, Shogo
collection PubMed
description The liverwort Marchantia polymorpha is equipped with a wide range of molecular and genetic tools and resources that have led to its wide use to explore the evo-devo aspects of land plants. Although its diverse transcriptome data are rapidly accumulating, there is no extensive yet user-friendly tool to exploit such a compilation of data and to summarize results with the latest annotations. Here, we have developed a web-based suite of tools, MarpolBase Expression (MBEX, https://marchantia.info/mbex/), where users can visualize gene expression profiles, identify differentially expressed genes, perform co-expression and functional enrichment analyses and summarize their comprehensive output in various portable formats. Using oil body biogenesis as an example, we demonstrated that the results generated by MBEX were consistent with the published experimental evidence and also revealed a novel transcriptional network in this process. MBEX should facilitate the exploration and discovery of the genetic and functional networks behind various biological processes in M. polymorpha and promote our understanding of the evolution of land plants.
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spelling pubmed-96808582022-11-23 MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha Kawamura, Shogo Romani, Facundo Yagura, Masaru Mochizuki, Takako Sakamoto, Mika Yamaoka, Shohei Nishihama, Ryuichi Nakamura, Yasukazu Yamato, Katsuyuki T Bowman, John L Kohchi, Takayuki Tanizawa, Yasuhiro Plant Cell Physiol Database Paper The liverwort Marchantia polymorpha is equipped with a wide range of molecular and genetic tools and resources that have led to its wide use to explore the evo-devo aspects of land plants. Although its diverse transcriptome data are rapidly accumulating, there is no extensive yet user-friendly tool to exploit such a compilation of data and to summarize results with the latest annotations. Here, we have developed a web-based suite of tools, MarpolBase Expression (MBEX, https://marchantia.info/mbex/), where users can visualize gene expression profiles, identify differentially expressed genes, perform co-expression and functional enrichment analyses and summarize their comprehensive output in various portable formats. Using oil body biogenesis as an example, we demonstrated that the results generated by MBEX were consistent with the published experimental evidence and also revealed a novel transcriptional network in this process. MBEX should facilitate the exploration and discovery of the genetic and functional networks behind various biological processes in M. polymorpha and promote our understanding of the evolution of land plants. Oxford University Press 2022-09-09 /pmc/articles/PMC9680858/ /pubmed/36083565 http://dx.doi.org/10.1093/pcp/pcac129 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Paper
Kawamura, Shogo
Romani, Facundo
Yagura, Masaru
Mochizuki, Takako
Sakamoto, Mika
Yamaoka, Shohei
Nishihama, Ryuichi
Nakamura, Yasukazu
Yamato, Katsuyuki T
Bowman, John L
Kohchi, Takayuki
Tanizawa, Yasuhiro
MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
title MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
title_full MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
title_fullStr MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
title_full_unstemmed MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
title_short MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
title_sort marpolbase expression: a web-based, comprehensive platform for visualization and analysis of transcriptomes in the liverwort marchantia polymorpha
topic Database Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680858/
https://www.ncbi.nlm.nih.gov/pubmed/36083565
http://dx.doi.org/10.1093/pcp/pcac129
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