Retinogenesis: Stochasticity and the competency model
- Autores
- Barton, Alejandro; Fendrik, Alejandro José
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The vertebrate retina is made up of seven principal cell types. These seven retinal cell types arise from multipotent retinal progenitor cells (RPCs). The competency model was proposed suggesting that RPCs undergo a series of irreversible transitions between competency states, in each of which the RPCs are competent to generate a different subset of cell types, but not retinal cells generated at previous moments. In this work, we generalize the stochastic model of neurogenesis of Barton et al. (2014), assuming that the same factor that regulates the differentiation, regulates the competency. The model reproduces the timing of production of different retinal cell types in rats such as it was experimentally measured. The results show that the evolution of the competency during retinogenesis could be explained by a single factor. Its evolution during the cell cycle and the stochastic inheritance in cell divisions determine the sequence and the overlap of production of different retinal cell types during development.
Fil: Barton, Alejandro. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina
Fil: Fendrik, Alejandro José. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Asymmetric Divisions
Retinal Progenitor Cells
Stochastic Development - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/38365
Ver los metadatos del registro completo
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Retinogenesis: Stochasticity and the competency modelBarton, AlejandroFendrik, Alejandro JoséAsymmetric DivisionsRetinal Progenitor CellsStochastic Developmenthttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The vertebrate retina is made up of seven principal cell types. These seven retinal cell types arise from multipotent retinal progenitor cells (RPCs). The competency model was proposed suggesting that RPCs undergo a series of irreversible transitions between competency states, in each of which the RPCs are competent to generate a different subset of cell types, but not retinal cells generated at previous moments. In this work, we generalize the stochastic model of neurogenesis of Barton et al. (2014), assuming that the same factor that regulates the differentiation, regulates the competency. The model reproduces the timing of production of different retinal cell types in rats such as it was experimentally measured. The results show that the evolution of the competency during retinogenesis could be explained by a single factor. Its evolution during the cell cycle and the stochastic inheritance in cell divisions determine the sequence and the overlap of production of different retinal cell types during development.Fil: Barton, Alejandro. Universidad Nacional de General Sarmiento. Instituto de Ciencias; ArgentinaFil: Fendrik, Alejandro José. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaAcademic Press Ltd - Elsevier Science Ltd2015-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/38365Barton, Alejandro; Fendrik, Alejandro José; Retinogenesis: Stochasticity and the competency model; Academic Press Ltd - Elsevier Science Ltd; Journal of Theoretical Biology; 373; 5-2015; 73-810022-5193CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jtbi.2015.03.015info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022519315001241info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:12:35Zoai:ri.conicet.gov.ar:11336/38365instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:12:36.217CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Retinogenesis: Stochasticity and the competency model |
title |
Retinogenesis: Stochasticity and the competency model |
spellingShingle |
Retinogenesis: Stochasticity and the competency model Barton, Alejandro Asymmetric Divisions Retinal Progenitor Cells Stochastic Development |
title_short |
Retinogenesis: Stochasticity and the competency model |
title_full |
Retinogenesis: Stochasticity and the competency model |
title_fullStr |
Retinogenesis: Stochasticity and the competency model |
title_full_unstemmed |
Retinogenesis: Stochasticity and the competency model |
title_sort |
Retinogenesis: Stochasticity and the competency model |
dc.creator.none.fl_str_mv |
Barton, Alejandro Fendrik, Alejandro José |
author |
Barton, Alejandro |
author_facet |
Barton, Alejandro Fendrik, Alejandro José |
author_role |
author |
author2 |
Fendrik, Alejandro José |
author2_role |
author |
dc.subject.none.fl_str_mv |
Asymmetric Divisions Retinal Progenitor Cells Stochastic Development |
topic |
Asymmetric Divisions Retinal Progenitor Cells Stochastic Development |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The vertebrate retina is made up of seven principal cell types. These seven retinal cell types arise from multipotent retinal progenitor cells (RPCs). The competency model was proposed suggesting that RPCs undergo a series of irreversible transitions between competency states, in each of which the RPCs are competent to generate a different subset of cell types, but not retinal cells generated at previous moments. In this work, we generalize the stochastic model of neurogenesis of Barton et al. (2014), assuming that the same factor that regulates the differentiation, regulates the competency. The model reproduces the timing of production of different retinal cell types in rats such as it was experimentally measured. The results show that the evolution of the competency during retinogenesis could be explained by a single factor. Its evolution during the cell cycle and the stochastic inheritance in cell divisions determine the sequence and the overlap of production of different retinal cell types during development. Fil: Barton, Alejandro. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina Fil: Fendrik, Alejandro José. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
The vertebrate retina is made up of seven principal cell types. These seven retinal cell types arise from multipotent retinal progenitor cells (RPCs). The competency model was proposed suggesting that RPCs undergo a series of irreversible transitions between competency states, in each of which the RPCs are competent to generate a different subset of cell types, but not retinal cells generated at previous moments. In this work, we generalize the stochastic model of neurogenesis of Barton et al. (2014), assuming that the same factor that regulates the differentiation, regulates the competency. The model reproduces the timing of production of different retinal cell types in rats such as it was experimentally measured. The results show that the evolution of the competency during retinogenesis could be explained by a single factor. Its evolution during the cell cycle and the stochastic inheritance in cell divisions determine the sequence and the overlap of production of different retinal cell types during development. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/38365 Barton, Alejandro; Fendrik, Alejandro José; Retinogenesis: Stochasticity and the competency model; Academic Press Ltd - Elsevier Science Ltd; Journal of Theoretical Biology; 373; 5-2015; 73-81 0022-5193 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/38365 |
identifier_str_mv |
Barton, Alejandro; Fendrik, Alejandro José; Retinogenesis: Stochasticity and the competency model; Academic Press Ltd - Elsevier Science Ltd; Journal of Theoretical Biology; 373; 5-2015; 73-81 0022-5193 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jtbi.2015.03.015 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022519315001241 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Academic Press Ltd - Elsevier Science Ltd |
publisher.none.fl_str_mv |
Academic Press Ltd - Elsevier Science Ltd |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |