Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions

Autores
Harizanova, Jana; Fermin, Yessica; Malik-Sheriff, Rahuman S.; Wieczorek, Jakob; Ickstadt, Katja; Grecco, Hernan Edgardo; Zamir, Eli
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Integrin adhesome proteins bind each other in alternative manners, forming within the cell diverse cell-matrix adhesion sites with distinct properties. An intriguing question is how such modular assembly of adhesion sites is achieved correctly solely by self-organization of their components. Here we address this question using high-throughput multiplexed imaging of eight proteins and two phosphorylation sites in a large number of single focal adhesions.We found that during the assembly of focal adhesions the variances of protein densities decrease while the correlations between them increase, suggesting reduction in the noise levels within these structures. These changes correlate independently with the area and internal density of focal adhesions, but not with their age or shape. Artificial neural network analysis indicates that a joint consideration of multiple components improves the predictability of paxillin and zyxin levels in internally dense focal adhesions. This suggests that paxillin and zyxin densities in focal adhesions are fine-tuned by integrating the levels of multiple other components, thus averaging-out stochastic fluctuations. Based on these results we propose that increase in internal protein densities facilitates noise suppression in focal adhesions, while noise suppression enables their stable growth and further density increase - hence forming a feedback loop giving rise to a quality-controlled assembly.
Fil: Harizanova, Jana. Administrative Headquarters Of The Max Planck Society;
Fil: Fermin, Yessica. Universitat Dortmund; Alemania
Fil: Malik-Sheriff, Rahuman S.. European Bioinformatics Institute; . Administrative Headquarters Of The Max Planck Society; . Imperial College London; Reino Unido
Fil: Wieczorek, Jakob. Universitat Dortmund; Alemania
Fil: Ickstadt, Katja. Universitat Dortmund; Alemania
Fil: Grecco, Hernan Edgardo. Administrative Headquarters Of The Max Planck Society; . Universidad de Buenos Aires. Facultad de Ciencias Exactas. Departamento de Ecología, Genética y Evolución. Buenos Aires; Argentina
Fil: Zamir, Eli. Administrative Headquarters Of The Max Planck Society;
Materia
FOCAL ADHESION
MULTIDIMENSIONAL IMAGING
NOISE
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:11336/49270

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spelling Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesionsHarizanova, JanaFermin, YessicaMalik-Sheriff, Rahuman S.Wieczorek, JakobIckstadt, KatjaGrecco, Hernan EdgardoZamir, EliFOCAL ADHESIONMULTIDIMENSIONAL IMAGINGNOISEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Integrin adhesome proteins bind each other in alternative manners, forming within the cell diverse cell-matrix adhesion sites with distinct properties. An intriguing question is how such modular assembly of adhesion sites is achieved correctly solely by self-organization of their components. Here we address this question using high-throughput multiplexed imaging of eight proteins and two phosphorylation sites in a large number of single focal adhesions.We found that during the assembly of focal adhesions the variances of protein densities decrease while the correlations between them increase, suggesting reduction in the noise levels within these structures. These changes correlate independently with the area and internal density of focal adhesions, but not with their age or shape. Artificial neural network analysis indicates that a joint consideration of multiple components improves the predictability of paxillin and zyxin levels in internally dense focal adhesions. This suggests that paxillin and zyxin densities in focal adhesions are fine-tuned by integrating the levels of multiple other components, thus averaging-out stochastic fluctuations. Based on these results we propose that increase in internal protein densities facilitates noise suppression in focal adhesions, while noise suppression enables their stable growth and further density increase - hence forming a feedback loop giving rise to a quality-controlled assembly.Fil: Harizanova, Jana. Administrative Headquarters Of The Max Planck Society;Fil: Fermin, Yessica. Universitat Dortmund; AlemaniaFil: Malik-Sheriff, Rahuman S.. European Bioinformatics Institute; . Administrative Headquarters Of The Max Planck Society; . Imperial College London; Reino UnidoFil: Wieczorek, Jakob. Universitat Dortmund; AlemaniaFil: Ickstadt, Katja. Universitat Dortmund; AlemaniaFil: Grecco, Hernan Edgardo. Administrative Headquarters Of The Max Planck Society; . Universidad de Buenos Aires. Facultad de Ciencias Exactas. Departamento de Ecología, Genética y Evolución. Buenos Aires; ArgentinaFil: Zamir, Eli. Administrative Headquarters Of The Max Planck Society;Public Library of Science2016-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/49270Harizanova, Jana; Fermin, Yessica; Malik-Sheriff, Rahuman S.; Wieczorek, Jakob; Ickstadt, Katja; et al.; Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions; Public Library of Science; Plos One; 11; 8; 8-2016; 1-181932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0160591info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:32:40Zoai:ri.conicet.gov.ar:11336/49270instacron: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 09:32:40.912CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
title Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
spellingShingle Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
Harizanova, Jana
FOCAL ADHESION
MULTIDIMENSIONAL IMAGING
NOISE
title_short Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
title_full Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
title_fullStr Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
title_full_unstemmed Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
title_sort Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
dc.creator.none.fl_str_mv Harizanova, Jana
Fermin, Yessica
Malik-Sheriff, Rahuman S.
Wieczorek, Jakob
Ickstadt, Katja
Grecco, Hernan Edgardo
Zamir, Eli
author Harizanova, Jana
author_facet Harizanova, Jana
Fermin, Yessica
Malik-Sheriff, Rahuman S.
Wieczorek, Jakob
Ickstadt, Katja
Grecco, Hernan Edgardo
Zamir, Eli
author_role author
author2 Fermin, Yessica
Malik-Sheriff, Rahuman S.
Wieczorek, Jakob
Ickstadt, Katja
Grecco, Hernan Edgardo
Zamir, Eli
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv FOCAL ADHESION
MULTIDIMENSIONAL IMAGING
NOISE
topic FOCAL ADHESION
MULTIDIMENSIONAL IMAGING
NOISE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Integrin adhesome proteins bind each other in alternative manners, forming within the cell diverse cell-matrix adhesion sites with distinct properties. An intriguing question is how such modular assembly of adhesion sites is achieved correctly solely by self-organization of their components. Here we address this question using high-throughput multiplexed imaging of eight proteins and two phosphorylation sites in a large number of single focal adhesions.We found that during the assembly of focal adhesions the variances of protein densities decrease while the correlations between them increase, suggesting reduction in the noise levels within these structures. These changes correlate independently with the area and internal density of focal adhesions, but not with their age or shape. Artificial neural network analysis indicates that a joint consideration of multiple components improves the predictability of paxillin and zyxin levels in internally dense focal adhesions. This suggests that paxillin and zyxin densities in focal adhesions are fine-tuned by integrating the levels of multiple other components, thus averaging-out stochastic fluctuations. Based on these results we propose that increase in internal protein densities facilitates noise suppression in focal adhesions, while noise suppression enables their stable growth and further density increase - hence forming a feedback loop giving rise to a quality-controlled assembly.
Fil: Harizanova, Jana. Administrative Headquarters Of The Max Planck Society;
Fil: Fermin, Yessica. Universitat Dortmund; Alemania
Fil: Malik-Sheriff, Rahuman S.. European Bioinformatics Institute; . Administrative Headquarters Of The Max Planck Society; . Imperial College London; Reino Unido
Fil: Wieczorek, Jakob. Universitat Dortmund; Alemania
Fil: Ickstadt, Katja. Universitat Dortmund; Alemania
Fil: Grecco, Hernan Edgardo. Administrative Headquarters Of The Max Planck Society; . Universidad de Buenos Aires. Facultad de Ciencias Exactas. Departamento de Ecología, Genética y Evolución. Buenos Aires; Argentina
Fil: Zamir, Eli. Administrative Headquarters Of The Max Planck Society;
description Integrin adhesome proteins bind each other in alternative manners, forming within the cell diverse cell-matrix adhesion sites with distinct properties. An intriguing question is how such modular assembly of adhesion sites is achieved correctly solely by self-organization of their components. Here we address this question using high-throughput multiplexed imaging of eight proteins and two phosphorylation sites in a large number of single focal adhesions.We found that during the assembly of focal adhesions the variances of protein densities decrease while the correlations between them increase, suggesting reduction in the noise levels within these structures. These changes correlate independently with the area and internal density of focal adhesions, but not with their age or shape. Artificial neural network analysis indicates that a joint consideration of multiple components improves the predictability of paxillin and zyxin levels in internally dense focal adhesions. This suggests that paxillin and zyxin densities in focal adhesions are fine-tuned by integrating the levels of multiple other components, thus averaging-out stochastic fluctuations. Based on these results we propose that increase in internal protein densities facilitates noise suppression in focal adhesions, while noise suppression enables their stable growth and further density increase - hence forming a feedback loop giving rise to a quality-controlled assembly.
publishDate 2016
dc.date.none.fl_str_mv 2016-08
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/11336/49270
Harizanova, Jana; Fermin, Yessica; Malik-Sheriff, Rahuman S.; Wieczorek, Jakob; Ickstadt, Katja; et al.; Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions; Public Library of Science; Plos One; 11; 8; 8-2016; 1-18
1932-6203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/49270
identifier_str_mv Harizanova, Jana; Fermin, Yessica; Malik-Sheriff, Rahuman S.; Wieczorek, Jakob; Ickstadt, Katja; et al.; Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions; Public Library of Science; Plos One; 11; 8; 8-2016; 1-18
1932-6203
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0160591
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 Public Library of Science
publisher.none.fl_str_mv Public Library of Science
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
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