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Transcriptional and proteomic analysis

Unintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as corresponding wil...

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Autores principales: Xiao-Jing, Liu, Bao, Xing, Meng-Yu, Wang, Xiao-Man, Li, Xu-Jing, Wang, Zhi-Xing, Wang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316742/
https://www.ncbi.nlm.nih.gov/pubmed/37387261
http://dx.doi.org/10.1080/21645698.2023.2229927
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author Xiao-Jing, Liu
Bao, Xing
Meng-Yu, Wang
Xiao-Man, Li
Xu-Jing, Wang
Zhi-Xing, Wang
author_facet Xiao-Jing, Liu
Bao, Xing
Meng-Yu, Wang
Xiao-Man, Li
Xu-Jing, Wang
Zhi-Xing, Wang
author_sort Xiao-Jing, Liu
collection PubMed
description Unintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as corresponding wild-type plants (Nipponbare). Transcriptome revealed 520 and 566 rice differentially expressed genes (DEGs) in the Cas9/Nip and ABE/Nip comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most DEGs participated in metabolism of terpenoids and polyketones, plant–pathogen interactions, and plant signal transduction. It mainly belongs to environmental adaptation. Proteomics revealed 298 and 54 rice differentially expressed proteins (DEPs) in the Cas9/Nip and ABE/Nip comparisons, respectively. KEGG pathway enrichment analysis showed that most DEPs participated in the biosynthesis of secondary metabolite and metabolic pathways. According to integrated transcriptomes and proteomics analysis, the results showed that no newly generated genes were identified as new transcripts of these differentially expressed genes, and gene edit tools had little effect on rice transcription levels and no new proteins were generated in the gene-edited rice.
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spelling pubmed-103167422023-07-04 Transcriptional and proteomic analysis Xiao-Jing, Liu Bao, Xing Meng-Yu, Wang Xiao-Man, Li Xu-Jing, Wang Zhi-Xing, Wang GM Crops Food Research Article Unintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as corresponding wild-type plants (Nipponbare). Transcriptome revealed 520 and 566 rice differentially expressed genes (DEGs) in the Cas9/Nip and ABE/Nip comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most DEGs participated in metabolism of terpenoids and polyketones, plant–pathogen interactions, and plant signal transduction. It mainly belongs to environmental adaptation. Proteomics revealed 298 and 54 rice differentially expressed proteins (DEPs) in the Cas9/Nip and ABE/Nip comparisons, respectively. KEGG pathway enrichment analysis showed that most DEPs participated in the biosynthesis of secondary metabolite and metabolic pathways. According to integrated transcriptomes and proteomics analysis, the results showed that no newly generated genes were identified as new transcripts of these differentially expressed genes, and gene edit tools had little effect on rice transcription levels and no new proteins were generated in the gene-edited rice. Taylor & Francis 2023-06-30 /pmc/articles/PMC10316742/ /pubmed/37387261 http://dx.doi.org/10.1080/21645698.2023.2229927 Text en © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. 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 (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Research Article
Xiao-Jing, Liu
Bao, Xing
Meng-Yu, Wang
Xiao-Man, Li
Xu-Jing, Wang
Zhi-Xing, Wang
Transcriptional and proteomic analysis
title Transcriptional and proteomic analysis
title_full Transcriptional and proteomic analysis
title_fullStr Transcriptional and proteomic analysis
title_full_unstemmed Transcriptional and proteomic analysis
title_short Transcriptional and proteomic analysis
title_sort transcriptional and proteomic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316742/
https://www.ncbi.nlm.nih.gov/pubmed/37387261
http://dx.doi.org/10.1080/21645698.2023.2229927
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