Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1785067772394340352 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10316742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xiaojingliu transcriptionalandproteomicanalysis AT baoxing transcriptionalandproteomicanalysis AT mengyuwang transcriptionalandproteomicanalysis AT xiaomanli transcriptionalandproteomicanalysis AT xujingwang transcriptionalandproteomicanalysis AT zhixingwang transcriptionalandproteomicanalysis |