Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions
- Autores
- Philipp, Natalia; Gratton, Enrico; Estrada, Laura Cecilia
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The cell membrane has a fundamental role in the cell life cycle but there’s still much to be learned about its heterogeneous structure, regulation, and protein interaction. Additionally, the protein-membrane interaction is often overlooked when studying specific protein dynamics. In this work, we present a new tool for a better understanding of protein dynamics and membrane function using live cells and fast non-invasive techniques without the need for individual particle tracking. To this end, we used the 2D-pair correlation function (2D-pCF) to study protein interactions across cellular membranes. We performed numerical simulations and confocal experiments using a GAP-mEGFP fusion construct known to interact with the plasmatic membrane. Our results demonstrate that based on a quantitative correlation analysis as the 2D pair correlation of the signal intensities, is possible to characterize protein-membrane interactions in live systems and real-time. Combining experimental and numerical results this work presents a new powerful approach to the study of the dynamic protein-membrane interaction.
Fil: Philipp, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Gratton, Enrico. University of California; Estados Unidos
Fil: Estrada, Laura Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina - Materia
-
FLUORESCENCE IMAGING
PROTEIN DYNAMICS
SPECTROSCOPY - 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:11336/228029
Ver los metadatos del registro completo
id |
CONICETDig_1c7c63310220e97879ff39658fa1faba |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/228029 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensionsPhilipp, NataliaGratton, EnricoEstrada, Laura CeciliaFLUORESCENCE IMAGINGPROTEIN DYNAMICSSPECTROSCOPYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The cell membrane has a fundamental role in the cell life cycle but there’s still much to be learned about its heterogeneous structure, regulation, and protein interaction. Additionally, the protein-membrane interaction is often overlooked when studying specific protein dynamics. In this work, we present a new tool for a better understanding of protein dynamics and membrane function using live cells and fast non-invasive techniques without the need for individual particle tracking. To this end, we used the 2D-pair correlation function (2D-pCF) to study protein interactions across cellular membranes. We performed numerical simulations and confocal experiments using a GAP-mEGFP fusion construct known to interact with the plasmatic membrane. Our results demonstrate that based on a quantitative correlation analysis as the 2D pair correlation of the signal intensities, is possible to characterize protein-membrane interactions in live systems and real-time. Combining experimental and numerical results this work presents a new powerful approach to the study of the dynamic protein-membrane interaction.Fil: Philipp, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Gratton, Enrico. University of California; Estados UnidosFil: Estrada, Laura Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaIOP Publishing2023-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/228029Philipp, Natalia; Gratton, Enrico; Estrada, Laura Cecilia; Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions; IOP Publishing; Methods and Applications in Fluorescence; 11; 4; 8-2023; 1-152050-6120CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2050-6120/acf118info:eu-repo/semantics/altIdentifier/doi/10.1088/2050-6120/acf118info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:02:52Zoai:ri.conicet.gov.ar:11336/228029instacron: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 10:02:52.407CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
title |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
spellingShingle |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions Philipp, Natalia FLUORESCENCE IMAGING PROTEIN DYNAMICS SPECTROSCOPY |
title_short |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
title_full |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
title_fullStr |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
title_full_unstemmed |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
title_sort |
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions |
dc.creator.none.fl_str_mv |
Philipp, Natalia Gratton, Enrico Estrada, Laura Cecilia |
author |
Philipp, Natalia |
author_facet |
Philipp, Natalia Gratton, Enrico Estrada, Laura Cecilia |
author_role |
author |
author2 |
Gratton, Enrico Estrada, Laura Cecilia |
author2_role |
author author |
dc.subject.none.fl_str_mv |
FLUORESCENCE IMAGING PROTEIN DYNAMICS SPECTROSCOPY |
topic |
FLUORESCENCE IMAGING PROTEIN DYNAMICS SPECTROSCOPY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The cell membrane has a fundamental role in the cell life cycle but there’s still much to be learned about its heterogeneous structure, regulation, and protein interaction. Additionally, the protein-membrane interaction is often overlooked when studying specific protein dynamics. In this work, we present a new tool for a better understanding of protein dynamics and membrane function using live cells and fast non-invasive techniques without the need for individual particle tracking. To this end, we used the 2D-pair correlation function (2D-pCF) to study protein interactions across cellular membranes. We performed numerical simulations and confocal experiments using a GAP-mEGFP fusion construct known to interact with the plasmatic membrane. Our results demonstrate that based on a quantitative correlation analysis as the 2D pair correlation of the signal intensities, is possible to characterize protein-membrane interactions in live systems and real-time. Combining experimental and numerical results this work presents a new powerful approach to the study of the dynamic protein-membrane interaction. Fil: Philipp, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Gratton, Enrico. University of California; Estados Unidos Fil: Estrada, Laura Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina |
description |
The cell membrane has a fundamental role in the cell life cycle but there’s still much to be learned about its heterogeneous structure, regulation, and protein interaction. Additionally, the protein-membrane interaction is often overlooked when studying specific protein dynamics. In this work, we present a new tool for a better understanding of protein dynamics and membrane function using live cells and fast non-invasive techniques without the need for individual particle tracking. To this end, we used the 2D-pair correlation function (2D-pCF) to study protein interactions across cellular membranes. We performed numerical simulations and confocal experiments using a GAP-mEGFP fusion construct known to interact with the plasmatic membrane. Our results demonstrate that based on a quantitative correlation analysis as the 2D pair correlation of the signal intensities, is possible to characterize protein-membrane interactions in live systems and real-time. Combining experimental and numerical results this work presents a new powerful approach to the study of the dynamic protein-membrane interaction. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-08 |
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/11336/228029 Philipp, Natalia; Gratton, Enrico; Estrada, Laura Cecilia; Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions; IOP Publishing; Methods and Applications in Fluorescence; 11; 4; 8-2023; 1-15 2050-6120 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/228029 |
identifier_str_mv |
Philipp, Natalia; Gratton, Enrico; Estrada, Laura Cecilia; Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions; IOP Publishing; Methods and Applications in Fluorescence; 11; 4; 8-2023; 1-15 2050-6120 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2050-6120/acf118 info:eu-repo/semantics/altIdentifier/doi/10.1088/2050-6120/acf118 |
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 |
IOP Publishing |
publisher.none.fl_str_mv |
IOP Publishing |
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_ |
1844613838001930240 |
score |
13.070432 |