PyF2F: a robust and simplified fluorophore-to-fluorophore distance measurement tool for Protein interactions from Imaging Complexes after Translocation experiments

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• dc.contributor.author Hernández, Altair C.
• dc.contributor.author Ortiz, Sebastian
• dc.contributor.author Betancur, Laura
• dc.contributor.author Dojcilovic, Radovan
• dc.contributor.author Picco, Andrea
• dc.contributor.author Kaksonen, Marko
• dc.contributor.author Oliva Miguel, Baldomero
• dc.contributor.author Gallego, Oriol
• dc.date.accessioned 2024-04-18T05:45:47Z
• dc.date.available 2024-04-18T05:45:47Z
• dc.date.issued 2024
• dc.description.abstract Structural knowledge of protein assemblies in their physiological environment is paramount to understand cellular functions at the molecular level. Protein interactions from Imaging Complexes after Translocation (PICT) is a live-cell imaging technique for the structural characterization of macromolecular assemblies in living cells. PICT relies on the measurement of the separation between labelled molecules using fluorescence microscopy and cell engineering. Unfortunately, the required computational tools to extract molecular distances involve a variety of sophisticated software programs that challenge reproducibility and limit their implementation to highly specialized researchers. Here we introduce PyF2F, a Python-based software that provides a workflow for measuring molecular distances from PICT data, with minimal user programming expertise. We used a published dataset to validate PyF2F's performance.
• dc.description.sponsorship This work was supported by the Spanish funding agency [PID2021-127773NB-I00 funded by MICIU/AEI/10.13039/501100011033 / FEDER/UE, PRE 2019-088514 funded by MICIU/AEI /10.13039/501100011033 and by "FSE invierte en tu futuro"; the Unidad de Excelencia Maria de Maeztu [CEX2018-000792-M funded by MICIU/AEI/10.13039/501100011033]; and the Human Frontiers Science Program [RGP0017/2020].
• dc.format.mimetype application/pdf
• dc.identifier.citation Hernandez AC, Ortiz S, Betancur LI, Dojčilović R, Picco A, Kaksonen M, et al. PyF2F: a robust and simplified fluorophore-to-fluorophore distance measurement tool for Protein interactions from Imaging Complexes after Translocation experiments. NAR Genom Bioinform. 2024 Mar 12;6(1):lqae027. DOI: 10.1093/nargab/lqae027
• dc.identifier.doi http://dx.doi.org/10.1093/nargab/lqae027
• dc.identifier.issn 2631-9268
• dc.identifier.uri http://hdl.handle.net/10230/59817
• dc.language.iso eng
• dc.publisher Oxford University Press
• dc.relation.ispartof NAR Genom Bioinform. 2024 Mar 12;6(1):lqae027
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2021-127773NB-I00
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PRE2019-088514
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/CEX2018-000792-M
• dc.rights © The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.other Proteïnes
• dc.subject.other Biomolècules
• dc.title PyF2F: a robust and simplified fluorophore-to-fluorophore distance measurement tool for Protein interactions from Imaging Complexes after Translocation experiments
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion