Transcriptome-based insights into gene networks controlling myopia prevention
dc.contributor.author | Karouta, Cindy | |
dc.contributor.author | Kucharski, Robert | |
dc.contributor.author | Hardy, Kristine | |
dc.contributor.author | Thomson, Kate | |
dc.contributor.author | Maleszka, Ryszard | |
dc.contributor.author | Morgan, Ian | |
dc.contributor.author | Ashby, Regan | |
dc.date.accessioned | 2022-11-13T22:35:26Z | |
dc.date.available | 2022-11-13T22:35:26Z | |
dc.date.issued | 2021 | |
dc.date.updated | 2024-03-03T07:16:41Z | |
dc.description.abstract | Myopia (short-sightedness), usually caused by excessive elongation of the eye during development, has reached epidemic proportions worldwide. In animal systems including the chicken model, several treatments have been shown to inhibit ocular elongation and experimental myopia. Although diverse in their apparent mechanism of action, each one leads to a reduction in the rate of ocular growth. We hypothesize that a defined set of retinal molecular changes may underlie growth inhibition, irrespective of the treatment agent used. Accordingly, across five well-established but diverse methods of inhibiting myopia, significant overlap is seen in the retinal transcriptome profile (transcript levels and alternative splicing events) in chicks when analyzed by RNA-seq. Within the two major pathway networks enriched during growth inhibition, that of cell signaling and circadian entrainment, transcription factors form the largest functional grouping. Importantly, a large percentage of those genes forming the defined retinal response are downstream targets of the transcription factor EGR1 which itself shows a universal response to all five growth-inhibitory treatments. This supports EGR1's previously implicated role in ocular growth regulation. Finally, by contrasting our data with human linkage and GWAS studies on refractive error, we confirm the applicability of our study to the human condition. Together, these findings suggest that a universal set of transcriptome changes, which sit within a well-defined retinal network that cannot be bypassed, is fundamental to growth regulation, thus paving a way for designing novel targets for myopia therapies. | |
dc.description.sponsorship | This work was partially funded by ANU Connect Ventures through a Discovery Translation Fund (Project number DTF311) and was awarded to RA. | en_AU |
dc.format.mimetype | application/pdf | en_AU |
dc.identifier.issn | 0892-6638 | en_AU |
dc.identifier.uri | http://hdl.handle.net/1885/278801 | |
dc.language.iso | en_AU | en_AU |
dc.provenance | This is an open access article under the terms of the Creative Commons Attri bution- NonCommercial- NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. | en_AU |
dc.publisher | Federation of American Societies for Experimental Biology | |
dc.rights | © 2021 The Authors. The FASEB Journal published by Wiley Periodicals LLC on behalf of Federation of American Societies for Experimental Biology | |
dc.rights.license | Creative Commons Attri bution- NonCommercial- NoDerivs License | en_AU |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_AU |
dc.source | FASEB Journal | |
dc.subject | gene expression | |
dc.subject | myopia | |
dc.subject | retina | |
dc.subject | RNA sequencing | |
dc.subject | transcriptome | |
dc.title | Transcriptome-based insights into gene networks controlling myopia prevention | |
dc.type | Journal article | |
dcterms.accessRights | Open Access | en_AU |
local.bibliographicCitation.issue | 9 | en_AU |
local.bibliographicCitation.lastpage | 23 | en_AU |
local.bibliographicCitation.startpage | 1 | en_AU |
local.contributor.affiliation | Karouta, Cindy, University of Canberra | en_AU |
local.contributor.affiliation | Kucharski, Robert, College of Science, ANU | en_AU |
local.contributor.affiliation | Hardy, Kristine, University of Canberra | en_AU |
local.contributor.affiliation | Thomson, Kate, University of Canberra | en_AU |
local.contributor.affiliation | Maleszka, Ryszard, College of Science, ANU | en_AU |
local.contributor.affiliation | Morgan, Ian, College of Science, ANU | en_AU |
local.contributor.affiliation | Ashby, Regan, College of Science, ANU | en_AU |
local.contributor.authoremail | u8709305@anu.edu.au | en_AU |
local.contributor.authoruid | Kucharski, Robert, u9612185 | en_AU |
local.contributor.authoruid | Maleszka, Ryszard, u8709305 | en_AU |
local.contributor.authoruid | Morgan, Ian, u7401805 | en_AU |
local.contributor.authoruid | Ashby, Regan, u2532493 | en_AU |
local.description.notes | Imported from ARIES | en_AU |
local.identifier.absfor | 321204 - Vision science | en_AU |
local.identifier.absfor | 310505 - Gene expression (incl. microarray and other genome-wide approaches) | en_AU |
local.identifier.absfor | 321201 - Ophthalmology | en_AU |
local.identifier.absseo | 280102 - Expanding knowledge in the biological sciences | en_AU |
local.identifier.absseo | 280112 - Expanding knowledge in the health sciences | en_AU |
local.identifier.absseo | 209999 - Other health not elsewhere classified | en_AU |
local.identifier.ariespublication | a383154xPUB22063 | en_AU |
local.identifier.citationvolume | 35 | en_AU |
local.identifier.doi | 10.1096/fj.202100350RR | en_AU |
local.identifier.scopusID | 2-s2.0-85113585930 | |
local.identifier.thomsonID | WOS:000691122900007 | |
local.identifier.uidSubmittedBy | a383154 | en_AU |
local.publisher.url | https://www.wiley.com/en-gb | en_AU |
local.type.status | Published Version | en_AU |
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