Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9534
Title: Single-Molecule Tracking dataset for histone H3 (hht1) from live and fixed cells of Schizosaccharomyces pombe
Authors: Kumari, Akriti
Podh, Nitesh Kumar
SEN, SUCHARITA
Kashyap, Kirti
Islam, Sahil
Gupta, Anupam
Rajakumara, Eerappa
NAMBIAR, MRIDULA
Mehta, Gunjan
Dept. of Biology
Keywords: Binding
2024
Issue Date: Dec-2024
Publisher: Springer Nature
Citation: Scientific Data, 11.
Abstract: Single-molecule tracking provides direct real-time measurements of protein dynamics in live cells with high spatiotemporal resolution. In the last decade, this method has been adopted by several labs to understand the dynamics of DNA replication, transcription, telomerase, chromatin remodeling, etc. in a variety of model systems (bacteria, yeast S. cerevisiae, cell lines, embryo). However, it has not been employed for the yeast Schizosaccharomyces pombe, despite being a valuable model system. Here, we present single-molecule tracking datasets for chromatin-bound histone H3 (Hht1) in live and fixed cells and freely diffusing GFP in S. pombe nuclei to benchmark the diffusion parameters (diffusion coefficient, mean squared displacement, fraction of bound molecules, residence time). These parameters will be used to differentiate chromatin-bound molecules from unbound (free) molecules of any protein. It will be a valuable resource for any lab that starts employing this method for studying protein dynamics. This dataset can also be used to validate the performance of various tracking software and as a training dataset for machine learning-based automated tracking
URI: https://doi.org/10.1038/s41597-024-04258-0
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9534
ISSN: 2052-4463
Appears in Collections:JOURNAL ARTICLES

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