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Retinal transcriptome of neonatal mice after optic nerve injury

BACKGROUND: The axonal growth capacity of retinal ganglion cells decreases dramatically within the first day of birth, and the axonal regeneration after injury in mature mammals is very limited. Here, this study aimed to delineate the transcriptomic changes associated with altered axonal growth capa...

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Autores principales: Yao, Shi-Qi, Wang, Meng, Liang, Jia-Jian, Ng, Tsz Kin, Cen, Ling-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228772/
https://www.ncbi.nlm.nih.gov/pubmed/37252932
http://dx.doi.org/10.1371/journal.pone.0286344
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author Yao, Shi-Qi
Wang, Meng
Liang, Jia-Jian
Ng, Tsz Kin
Cen, Ling-Ping
author_facet Yao, Shi-Qi
Wang, Meng
Liang, Jia-Jian
Ng, Tsz Kin
Cen, Ling-Ping
author_sort Yao, Shi-Qi
collection PubMed
description BACKGROUND: The axonal growth capacity of retinal ganglion cells decreases dramatically within the first day of birth, and the axonal regeneration after injury in mature mammals is very limited. Here, this study aimed to delineate the transcriptomic changes associated with altered axonal growth capacity and to identify the key genes associated with axonal regeneration by the RNA sequencing (RNA-Seq) analysis. METHODS: The whole retinas from the mice of embryonic day (E) 20, postnatal day (P) 1 and P3 were collected at 6 hours after optic nerve crush (ONC). Differentially expressed genes (DEGs) for ONC or ages were identified by the RNA-Seq analysis. K-means analysis was conducted for the clustering of DEGs based on expression patterns. Enrichment of functions and signaling pathways analysis were performed based on Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) database, and Gene Set Enrichment analysis (GSEA). Quantitative real time polymerase chain reaction (qRT-PCR) was used to validate the DEGs selected from the RNA-Seq analysis. RESULTS: In total, 5,408 DEGs were identified for ages, and 2,639 DEGs in neonatal mouse retina after ONC. K-means analysis revealed 7 clusters in age-DEGs and 11 clusters in ONC-DEGs. The GO, KEGG and GSEA pathway analyses identified significantly enrichment of DEGs in the visual perception and phototransduction for the age effect, and the break repair, neuron projection guidance, and immune system pathway for the ONC. PPI analysis identified hub genes in the axon-related gene cluster. The expressions of Mlc1, Zfp296, Atoh7, Ecel1, Creb5, Fosb, and Lcn2, thought to be involved in RGC death and axonal growth were validated by qRT-PCR. CONCLUSIONS: This study, for the first time, delineated the gene expression changes following ON injury in embryonic and neonatal mice, providing a new resource of age- and injury-driven data on axonal growth capacity.
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spelling pubmed-102287722023-05-31 Retinal transcriptome of neonatal mice after optic nerve injury Yao, Shi-Qi Wang, Meng Liang, Jia-Jian Ng, Tsz Kin Cen, Ling-Ping PLoS One Research Article BACKGROUND: The axonal growth capacity of retinal ganglion cells decreases dramatically within the first day of birth, and the axonal regeneration after injury in mature mammals is very limited. Here, this study aimed to delineate the transcriptomic changes associated with altered axonal growth capacity and to identify the key genes associated with axonal regeneration by the RNA sequencing (RNA-Seq) analysis. METHODS: The whole retinas from the mice of embryonic day (E) 20, postnatal day (P) 1 and P3 were collected at 6 hours after optic nerve crush (ONC). Differentially expressed genes (DEGs) for ONC or ages were identified by the RNA-Seq analysis. K-means analysis was conducted for the clustering of DEGs based on expression patterns. Enrichment of functions and signaling pathways analysis were performed based on Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) database, and Gene Set Enrichment analysis (GSEA). Quantitative real time polymerase chain reaction (qRT-PCR) was used to validate the DEGs selected from the RNA-Seq analysis. RESULTS: In total, 5,408 DEGs were identified for ages, and 2,639 DEGs in neonatal mouse retina after ONC. K-means analysis revealed 7 clusters in age-DEGs and 11 clusters in ONC-DEGs. The GO, KEGG and GSEA pathway analyses identified significantly enrichment of DEGs in the visual perception and phototransduction for the age effect, and the break repair, neuron projection guidance, and immune system pathway for the ONC. PPI analysis identified hub genes in the axon-related gene cluster. The expressions of Mlc1, Zfp296, Atoh7, Ecel1, Creb5, Fosb, and Lcn2, thought to be involved in RGC death and axonal growth were validated by qRT-PCR. CONCLUSIONS: This study, for the first time, delineated the gene expression changes following ON injury in embryonic and neonatal mice, providing a new resource of age- and injury-driven data on axonal growth capacity. Public Library of Science 2023-05-30 /pmc/articles/PMC10228772/ /pubmed/37252932 http://dx.doi.org/10.1371/journal.pone.0286344 Text en © 2023 Yao et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yao, Shi-Qi
Wang, Meng
Liang, Jia-Jian
Ng, Tsz Kin
Cen, Ling-Ping
Retinal transcriptome of neonatal mice after optic nerve injury
title Retinal transcriptome of neonatal mice after optic nerve injury
title_full Retinal transcriptome of neonatal mice after optic nerve injury
title_fullStr Retinal transcriptome of neonatal mice after optic nerve injury
title_full_unstemmed Retinal transcriptome of neonatal mice after optic nerve injury
title_short Retinal transcriptome of neonatal mice after optic nerve injury
title_sort retinal transcriptome of neonatal mice after optic nerve injury
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228772/
https://www.ncbi.nlm.nih.gov/pubmed/37252932
http://dx.doi.org/10.1371/journal.pone.0286344
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