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REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses

In plants, differentiated somatic cells exhibit an exceptional ability to regenerate new tissues, organs, or whole plants. Recent studies have unveiled core genetic components and pathways underlying cellular reprogramming and de novo tissue regeneration in plants. Although high-throughput analyses...

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Autores principales: Bae, Soon Hyung, Noh, Yoo-Sun, Seo, Pil Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249971/
https://www.ncbi.nlm.nih.gov/pubmed/35832616
http://dx.doi.org/10.1016/j.csbj.2022.06.033
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author Bae, Soon Hyung
Noh, Yoo-Sun
Seo, Pil Joon
author_facet Bae, Soon Hyung
Noh, Yoo-Sun
Seo, Pil Joon
author_sort Bae, Soon Hyung
collection PubMed
description In plants, differentiated somatic cells exhibit an exceptional ability to regenerate new tissues, organs, or whole plants. Recent studies have unveiled core genetic components and pathways underlying cellular reprogramming and de novo tissue regeneration in plants. Although high-throughput analyses have led to key discoveries in plant regeneration, a comprehensive organization of large-scale data is needed to further enhance our understanding of plant regeneration. Here, we collected all currently available transcriptome datasets related to wounding responses, callus formation, de novo organogenesis, somatic embryogenesis, and protoplast regeneration to construct REGENOMICS, a web-based application for plant REGENeration-associated transcriptOMICS analyses. REGENOMICS supports single- and multi-query analyses of plant regeneration-related gene-expression dynamics, co-expression networks, gene-regulatory networks, and single-cell expression profiles. Furthermore, it enables user-friendly transcriptome-level analysis of REGENOMICS-deposited and user-submitted RNA-seq datasets. Overall, we demonstrate that REGENOMICS can serve as a key hub of plant regeneration transcriptome analysis and greatly enhance our understanding on gene-expression networks, new molecular interactions, and the crosstalk between genetic pathways underlying each mode of plant regeneration. The REGENOMICS web-based application is available at http://plantregeneration.snu.ac.kr.
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spelling pubmed-92499712022-07-12 REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses Bae, Soon Hyung Noh, Yoo-Sun Seo, Pil Joon Comput Struct Biotechnol J Research Article In plants, differentiated somatic cells exhibit an exceptional ability to regenerate new tissues, organs, or whole plants. Recent studies have unveiled core genetic components and pathways underlying cellular reprogramming and de novo tissue regeneration in plants. Although high-throughput analyses have led to key discoveries in plant regeneration, a comprehensive organization of large-scale data is needed to further enhance our understanding of plant regeneration. Here, we collected all currently available transcriptome datasets related to wounding responses, callus formation, de novo organogenesis, somatic embryogenesis, and protoplast regeneration to construct REGENOMICS, a web-based application for plant REGENeration-associated transcriptOMICS analyses. REGENOMICS supports single- and multi-query analyses of plant regeneration-related gene-expression dynamics, co-expression networks, gene-regulatory networks, and single-cell expression profiles. Furthermore, it enables user-friendly transcriptome-level analysis of REGENOMICS-deposited and user-submitted RNA-seq datasets. Overall, we demonstrate that REGENOMICS can serve as a key hub of plant regeneration transcriptome analysis and greatly enhance our understanding on gene-expression networks, new molecular interactions, and the crosstalk between genetic pathways underlying each mode of plant regeneration. The REGENOMICS web-based application is available at http://plantregeneration.snu.ac.kr. Research Network of Computational and Structural Biotechnology 2022-06-16 /pmc/articles/PMC9249971/ /pubmed/35832616 http://dx.doi.org/10.1016/j.csbj.2022.06.033 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 Research Article
Bae, Soon Hyung
Noh, Yoo-Sun
Seo, Pil Joon
REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
title REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
title_full REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
title_fullStr REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
title_full_unstemmed REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
title_short REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
title_sort regenomics: a web-based application for plant regeneration-associated transcriptomics analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249971/
https://www.ncbi.nlm.nih.gov/pubmed/35832616
http://dx.doi.org/10.1016/j.csbj.2022.06.033
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