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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/38365
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/38365
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-22T11:42:29Zoai: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:34982025-10-22 11:42:30.21CONICET 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
reponame_str CONICET Digital (CONICET)
collection 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
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782112449953792
score 12.982451

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