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タイトル: MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
著者: Kawamura, Shogo
Romani, Facundo
Yagura, Masaru
Mochizuki, Takako
Sakamoto, Mika
Yamaoka, Shohei  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-4154-9967 (unconfirmed)
Nishihama, Ryuichi
Nakamura, Yasukazu
Yamato, Katsuyuki T
Bowman, John L
Kohchi, Takayuki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-9712-4872 (unconfirmed)
Tanizawa, Yasuhiro
著者名の別形: 川村, 昇吾
山岡, 尚平
河内, 孝之
発行日: Nov-2022
出版者: Oxford University Press (OUP)
Japanese Society of Plant Physiologists
誌名: Plant and Cell Physiology
巻: 63
号: 11
開始ページ: 1745
終了ページ: 1755
抄録: 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.
著作権等: © The Author(s) 2022. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://hdl.handle.net/2433/278854
DOI(出版社版): 10.1093/pcp/pcac129
PubMed ID: 36083565
出現コレクション:学術雑誌掲載論文等

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