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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/49270
Ver los metadatos del registro completo
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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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1844612998413418496 |
score |
13.070432 |