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MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures
Our current understanding of the molecular mechanisms which regulate cellular processes such as vesicular trafficking has been enabled by conventional biochemical and microscopy techniques. However, these methods often obscure the heterogeneity of the cellular environment, thus precluding a quantita...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676698/ https://www.ncbi.nlm.nih.gov/pubmed/26657340 http://dx.doi.org/10.1371/journal.pcbi.1004634 |
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author | Caetano, Fabiana A. Dirk, Brennan S. Tam, Joshua H. K. Cavanagh, P. Craig Goiko, Maria Ferguson, Stephen S. G. Pasternak, Stephen H. Dikeakos, Jimmy D. de Bruyn, John R. Heit, Bryan |
author_facet | Caetano, Fabiana A. Dirk, Brennan S. Tam, Joshua H. K. Cavanagh, P. Craig Goiko, Maria Ferguson, Stephen S. G. Pasternak, Stephen H. Dikeakos, Jimmy D. de Bruyn, John R. Heit, Bryan |
author_sort | Caetano, Fabiana A. |
collection | PubMed |
description | Our current understanding of the molecular mechanisms which regulate cellular processes such as vesicular trafficking has been enabled by conventional biochemical and microscopy techniques. However, these methods often obscure the heterogeneity of the cellular environment, thus precluding a quantitative assessment of the molecular interactions regulating these processes. Herein, we present Molecular Interactions in Super Resolution (MIiSR) software which provides quantitative analysis tools for use with super-resolution images. MIiSR combines multiple tools for analyzing intermolecular interactions, molecular clustering and image segmentation. These tools enable quantification, in the native environment of the cell, of molecular interactions and the formation of higher-order molecular complexes. The capabilities and limitations of these analytical tools are demonstrated using both modeled data and examples derived from the vesicular trafficking system, thereby providing an established and validated experimental workflow capable of quantitatively assessing molecular interactions and molecular complex formation within the heterogeneous environment of the cell. |
format | Online Article Text |
id | pubmed-4676698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46766982015-12-31 MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures Caetano, Fabiana A. Dirk, Brennan S. Tam, Joshua H. K. Cavanagh, P. Craig Goiko, Maria Ferguson, Stephen S. G. Pasternak, Stephen H. Dikeakos, Jimmy D. de Bruyn, John R. Heit, Bryan PLoS Comput Biol Research Article Our current understanding of the molecular mechanisms which regulate cellular processes such as vesicular trafficking has been enabled by conventional biochemical and microscopy techniques. However, these methods often obscure the heterogeneity of the cellular environment, thus precluding a quantitative assessment of the molecular interactions regulating these processes. Herein, we present Molecular Interactions in Super Resolution (MIiSR) software which provides quantitative analysis tools for use with super-resolution images. MIiSR combines multiple tools for analyzing intermolecular interactions, molecular clustering and image segmentation. These tools enable quantification, in the native environment of the cell, of molecular interactions and the formation of higher-order molecular complexes. The capabilities and limitations of these analytical tools are demonstrated using both modeled data and examples derived from the vesicular trafficking system, thereby providing an established and validated experimental workflow capable of quantitatively assessing molecular interactions and molecular complex formation within the heterogeneous environment of the cell. Public Library of Science 2015-12-11 /pmc/articles/PMC4676698/ /pubmed/26657340 http://dx.doi.org/10.1371/journal.pcbi.1004634 Text en © 2015 Caetano et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Caetano, Fabiana A. Dirk, Brennan S. Tam, Joshua H. K. Cavanagh, P. Craig Goiko, Maria Ferguson, Stephen S. G. Pasternak, Stephen H. Dikeakos, Jimmy D. de Bruyn, John R. Heit, Bryan MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures |
title | MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures |
title_full | MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures |
title_fullStr | MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures |
title_full_unstemmed | MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures |
title_short | MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures |
title_sort | miisr: molecular interactions in super-resolution imaging enables the analysis of protein interactions, dynamics and formation of multi-protein structures |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676698/ https://www.ncbi.nlm.nih.gov/pubmed/26657340 http://dx.doi.org/10.1371/journal.pcbi.1004634 |
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