Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates

Focal adhesions in planar substrates constitute an excellent cellular resource to evaluate different parameters related to cell morphology, cytoskeletal organization, and adhesive strength. However, their intrinsic heterogeneity in terms of size, molecular composition, orientation, and so on complic...

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Detalles Bibliográficos
Autores: Talayero, Vanessa C., Vicente-Manzanares, Miguel
Tipo de recurso: otro
Estado:Versión aceptada para publicación
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/234059
Acceso en línea:http://hdl.handle.net/10261/234059
Access Level:acceso abierto
Palabra clave:Focal adhesion
Protrusion
Actin cytoskeleton
ImageJ
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spelling Multiparametric Analysis of Focal Adhesions in Bidimensional SubstratesTalayero, Vanessa C.Vicente-Manzanares, MiguelFocal adhesionProtrusionActin cytoskeletonImageJFocal adhesions in planar substrates constitute an excellent cellular resource to evaluate different parameters related to cell morphology, cytoskeletal organization, and adhesive strength. However, their intrinsic heterogeneity in terms of size, molecular composition, orientation, and so on complicates their analysis. Here, we describe a simple and straightforward ImageJ/Fiji-based method to quantify several parameters that describe the morphology and relative composition of focal adhesions. This type of analysis can be implemented in various ways and become useful for drug and shRNA screenings.This work was funded by the Spanish Ministry of Science and Innovation (SAF2017-87408), AECC Seed award (2018–IDEAS18018VICE) and ECRIN_M3-2020 (Accelerator Award) from CRUK/AECC/AIRC. The host institution, IBMCC, is supported by the Programa de Apoyo a Planes Estratégicos de Investigación de Estructuras de Investigación de Excelencia of the Ministry of Education of the Castilla–León Government (CLC–2017–01).Springer NatureMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Asociación Española Contra el CáncerJunta de Castilla y LeónConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2021202120202021info:eu-repo/semantics/otherhttp://purl.org/coar/resource_type/c_3248Postprintinfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/bookParthttp://hdl.handle.net/10261/234059reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#SAF2017-87408SAF2017-87408SAF2017-87408/AEI/10.13039/501100011033http://dx.doi.org/10.1007/978-1-0716-0962-0_3Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2340592026-05-22T06:33:51Z
dc.title.none.fl_str_mv Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
title Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
spellingShingle Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
Talayero, Vanessa C.
Focal adhesion
Protrusion
Actin cytoskeleton
ImageJ
title_short Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
title_full Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
title_fullStr Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
title_full_unstemmed Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
title_sort Multiparametric Analysis of Focal Adhesions in Bidimensional Substrates
dc.creator.none.fl_str_mv Talayero, Vanessa C.
Vicente-Manzanares, Miguel
author Talayero, Vanessa C.
author_facet Talayero, Vanessa C.
Vicente-Manzanares, Miguel
author_role author
author2 Vicente-Manzanares, Miguel
author2_role author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Asociación Española Contra el Cáncer
Junta de Castilla y León
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Focal adhesion
Protrusion
Actin cytoskeleton
ImageJ
topic Focal adhesion
Protrusion
Actin cytoskeleton
ImageJ
description Focal adhesions in planar substrates constitute an excellent cellular resource to evaluate different parameters related to cell morphology, cytoskeletal organization, and adhesive strength. However, their intrinsic heterogeneity in terms of size, molecular composition, orientation, and so on complicates their analysis. Here, we describe a simple and straightforward ImageJ/Fiji-based method to quantify several parameters that describe the morphology and relative composition of focal adhesions. This type of analysis can be implemented in various ways and become useful for drug and shRNA screenings.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/other
http://purl.org/coar/resource_type/c_3248
Postprint
info:eu-repo/semantics/acceptedVersion
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format other
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/234059
url http://hdl.handle.net/10261/234059
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
SAF2017-87408SAF2017-87408
SAF2017-87408/AEI/10.13039/501100011033
http://dx.doi.org/10.1007/978-1-0716-0962-0_3
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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