In-vivo Single-Molecule Imaging in Yeast: Applications and Challenges.
Autor: | Podh NK; Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana, India. Electronic address: https://twitter.com/@PodhNitesh., Paliwal S; Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana, India. Electronic address: https://twitter.com/@Sheetal62666036., Dey P; Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana, India. Electronic address: https://twitter.com/@ParthaD63416958., Das A; Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana, India. Electronic address: https://twitter.com/@AyanDas76471821., Morjaria S; Dr. Vikram Sarabhai Institute of Cell and Molecular Biology, The Maharaja Sayajirao University of Baroda, Vadodara, India. Electronic address: https://twitter.com/@shruti_morjaria., Mehta G; Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana, India. Electronic address: gunjanmehta@bt.iith.ac.in. |
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Jazyk: | angličtina |
Zdroj: | Journal of molecular biology [J Mol Biol] 2021 Nov 05; Vol. 433 (22), pp. 167250. Date of Electronic Publication: 2021 Sep 17. |
DOI: | 10.1016/j.jmb.2021.167250 |
Abstrakt: | Single-molecule imaging has gained momentum to quantify the dynamics of biomolecules in live cells, as it provides direct real-time measurements of various cellular activities under their physiological environment. Yeast, a simple and widely used eukaryote, serves as a good model system to quantify single-molecule dynamics of various cellular processes because of its low genomic and cellular complexities, as well as its facile ability to be genetically manipulated. In the past decade, significant developments have been made regarding the intracellular labeling of biomolecules (proteins, mRNA, fatty acids), the microscopy setups to visualize single-molecules and capture their fast dynamics, and the data analysis pipelines to interpret such dynamics. In this review, we summarize the current state of knowledge for the single-molecule imaging in live yeast cells to provide a ready reference for beginners. We provide a comprehensive table to demonstrate how various labs tailored the imaging regimes and data analysis pipelines to estimate various biophysical parameters for a variety of biological processes. Lastly, we present current challenges and future directions for developing better tools and resources for single-molecule imaging in live yeast cells. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2021 Elsevier Ltd. All rights reserved.) |
Databáze: | MEDLINE |
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