Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches

This work demonstrates the efficiency of the software IVEN (Internal Versus External Neighbourhood) in describing the dynamic changes in neighbourhoods of all cell lineages in the mammalian blastocyst. In the mouse model, the primitive endoderm (PrE)/epiblast (Epi) dichotomy is established during bl...

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Detalhes bibliográficos
Autores: de la Fuente, Roberto, Forsyth, Jessica E.
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/743520
Acesso em linha:https://hdl.handle.net/10486/743520
https://dx.doi.org/10.2478/aspr-2025-0024
Access Level:acceso abierto
Palavra-chave:Blastocyst
neighbourhood
classification
distance
primitive endoderm
epiblast
cavity
Biología y Biomedicina / Biología
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spelling Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approachesde la Fuente, RobertoForsyth, Jessica E.Blastocystneighbourhoodclassificationdistanceprimitive endodermepiblastcavityBiología y Biomedicina / BiologíaThis work demonstrates the efficiency of the software IVEN (Internal Versus External Neighbourhood) in describing the dynamic changes in neighbourhoods of all cell lineages in the mammalian blastocyst. In the mouse model, the primitive endoderm (PrE)/epiblast (Epi) dichotomy is established during blastocyst formation, which results in a seemingly random distribution of cells from both lineages within the ICM (‘salt and pepper’ model). Nevertheless, differences in cell potency, plasticity and distribution suggest that specific cell traits, such as environment, might be defining the ultimate fate acquisition. We have tested the new functionalities in the latest IVEN version and its efficiency to explore the changes in cell distribution within cell lineages and sub-populations. For this purpose, we have developed pipelines that combine functionalities from the imaging software (IMARIS) with IVEN internal algorithms to provide an insight into the dynamic cell neighbourhood within the early blastocyst. IVEN returns detailed reconstructions and numerical arrays that can be interpreted to describe the evolution of cell neighbourhoods within and between lineages. Thus, we have been able to identify specific subsets of cells within the TE and the ICM lineages depending on their relative position to the blastocyst cavity and revealed distinct neighbourhood features. IVEN analyses were essential to provide quantitative understanding of the intrinsic dynamics of the mouse blastocyst. Our approach demonstrates the accuracy of IVEN as a descriptive analytical tool and offers the possibility of applying it on to other systems to uncover differences between speciesThe authors wish to thank Dr. Berenika Plusa for her insights and helpful discussions of the analyses presented in this study. R.d.l.F. was supported by NCN 2021/05/X/NZ3/00704Institute of Genetics and Animal Biotechnology of the Polish Academy of SciencesDepartamento de BiologíaFacultad de Ciencias20252025-10-07research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10486/743520https://dx.doi.org/10.2478/aspr-2025-0024reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7435202026-06-23T12:46:27Z
dc.title.none.fl_str_mv Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
title Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
spellingShingle Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
de la Fuente, Roberto
Blastocyst
neighbourhood
classification
distance
primitive endoderm
epiblast
cavity
Biología y Biomedicina / Biología
title_short Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
title_full Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
title_fullStr Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
title_full_unstemmed Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
title_sort Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches
dc.creator.none.fl_str_mv de la Fuente, Roberto
Forsyth, Jessica E.
author de la Fuente, Roberto
author_facet de la Fuente, Roberto
Forsyth, Jessica E.
author_role author
author2 Forsyth, Jessica E.
author2_role author
dc.contributor.none.fl_str_mv Departamento de Biología
Facultad de Ciencias
dc.subject.none.fl_str_mv Blastocyst
neighbourhood
classification
distance
primitive endoderm
epiblast
cavity
Biología y Biomedicina / Biología
topic Blastocyst
neighbourhood
classification
distance
primitive endoderm
epiblast
cavity
Biología y Biomedicina / Biología
description This work demonstrates the efficiency of the software IVEN (Internal Versus External Neighbourhood) in describing the dynamic changes in neighbourhoods of all cell lineages in the mammalian blastocyst. In the mouse model, the primitive endoderm (PrE)/epiblast (Epi) dichotomy is established during blastocyst formation, which results in a seemingly random distribution of cells from both lineages within the ICM (‘salt and pepper’ model). Nevertheless, differences in cell potency, plasticity and distribution suggest that specific cell traits, such as environment, might be defining the ultimate fate acquisition. We have tested the new functionalities in the latest IVEN version and its efficiency to explore the changes in cell distribution within cell lineages and sub-populations. For this purpose, we have developed pipelines that combine functionalities from the imaging software (IMARIS) with IVEN internal algorithms to provide an insight into the dynamic cell neighbourhood within the early blastocyst. IVEN returns detailed reconstructions and numerical arrays that can be interpreted to describe the evolution of cell neighbourhoods within and between lineages. Thus, we have been able to identify specific subsets of cells within the TE and the ICM lineages depending on their relative position to the blastocyst cavity and revealed distinct neighbourhood features. IVEN analyses were essential to provide quantitative understanding of the intrinsic dynamics of the mouse blastocyst. Our approach demonstrates the accuracy of IVEN as a descriptive analytical tool and offers the possibility of applying it on to other systems to uncover differences between species
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-10-07
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10486/743520
https://dx.doi.org/10.2478/aspr-2025-0024
url https://hdl.handle.net/10486/743520
https://dx.doi.org/10.2478/aspr-2025-0024
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences
publisher.none.fl_str_mv Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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