Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/30985
Title: | Recognition motifs for importin 4 [(L)PPRS(G/P)P] and importin 5 [KP(K/Y)LV] binding, identified by bio-informatic simulation and experimental in vitro validation | Authors: | Panagiotopoulos, Athanasios Kalyvianaki, Konstantina Tsodoulou, Paraskevi K Darivianaki, Maria N Dellis, Dimitris Notas, George Daskalakis, Vangelis Theodoropoulos, Panayiotis A Panagiotidis, Christos Α Castanas, Elias Kampa, Marilena |
Major Field of Science: | Engineering and Technology | Field Category: | Chemical Engineering | Keywords: | IPO4;Importin 4;Importin 5;Karyopherins;Nuclear localization signal (NLS) | Issue Date: | 2022 | Source: | Computational and Structural Biotechnology Journal, 2022, vol. 20, pp. 5952 - 5961 | Volume: | 20 | Start page: | 5952 | End page: | 5961 | Journal: | Computational and Structural Biotechnology Journal | Abstract: | Nuclear translocation of large proteins is mediated through karyopherins, carrier proteins recognizing specific motifs of cargo proteins, known as nuclear localization signals (NLS). However, only few NLS signals have been reported until now. In the present work, NLS signals for Importins 4 and 5 were identified through an unsupervised in silico approach, followed by experimental in vitro validation. The sequences LPPRS(G/P)P and KP(K/Y)LV were identified and are proposed as recognition motifs for Importins 4 and 5 binding, respectively. They are involved in the trafficking of important proteins into the nucleus. These sequences were validated in the breast cancer cell line T47D, which expresses both Importins 4 and 5. Elucidating the complex relationships of the nuclear transporters and their cargo proteins is very important in better understanding the mechanism of nuclear transport of proteins and laying the foundation for the development of novel therapeutics, targeting specific importins. | URI: | https://hdl.handle.net/20.500.14279/30985 | ISSN: | 20010370 | DOI: | 10.1016/j.csbj.2022.10.015 | Rights: | © The Authors Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Article | Affiliation : | University of Crete Aristotle University of Thessaloniki National Infrastructures for Research and Technology Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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Daskalakis 3.pdf | Full text | 1.83 MB | Adobe PDF | View/Open |
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