DOI: 10.5281/zenodo.7896381
title: Regulation of T7 gp2.5 Binding Dynamics by its C-terminal tail, Template Conformation and Sequence

description: <sup>* </sup>To whom correspondence may be addressed: g.j.l.wuite@vu.nl<br> <sup># </sup>The first three authors should be regarded as joint first authors <strong>Abstract</strong><br> Bacteriophage T7 single-stranded DNA-binding protein (gp2.5) binds to and protects transiently exposed regions of single-stranded DNA (ssDNA) while dynamically interacting with other proteins of the replication complex. We directly visualize fluorescently labelled T7 gp2.5 binding to ssDNA at the single-molecule level. Upon binding, T7 gp2.5 reduces the contour length of ssDNA by stacking nucleotides in a force-dependent manner, suggesting T7 gp2.5 suppresses the formation of secondary structure. Next, we investigate the binding dynamics of T7 gp2.5 and a deletion mutant lacking 21 C-terminal residues (gp2.5-Δ21C) under various template tensions. Our results show that the base sequence of the DNA molecule, ssDNA conformation induced by template tension, and the acidic terminal domain from T7 gp2.5 significantly impact on the DNA binding parameters of T7 gp2.5. Moreover, we uncover a unique template-catalyzed recycling behaviour of T7 gp2.5, resulting in an apparent cooperative binding to ssDNA, facilitating efficient spatial redistribution of T7 gp2.5 during the synthesis of successive Okazaki fragments. Overall, our findings reveal an efficient binding mechanism that prevents the formation of secondary structures by enabling T7 gp2.5 to rapidly rebind to nearby exposed ssDNA regions, during lagging strand DNA synthesis. <strong>Data Set Description</strong><br> This data set contains the raw data and analysis code for the single-molecule study of the binding dynamics of T7 gp2.5 and its interactions with single-stranded DNA (ssDNA). The experiments utilized a custom-built setup combining dual optical trapping, confocal microscopy, and microfluidics. <strong>Methodology</strong><br> The single-molecule experiments were performed at room temperature in a 5-channel microfluidic flow cell using a custom-built experimental setup that combines dual optical trapping, confocal microscopy, and microfluidics for single-molecule assays. Data analysis was conducted using Python, Origin, and MATLAB. Detailed methodology and instrument specifications are provided in the associated publication. <strong>Data Set Structure</strong><br> - `Raw_Data/`: Contains raw data files in TDMS format.<br> - `Data_Analysis_Code/`: Contains the code used for data analysis and figure generation. <strong>File Formats</strong><br> - Raw data files are in TDMS format. <strong>Usage Notes</strong><br> Along with the raw data, we also provided the analysis code which generates the figures. Users should be aware of the required citations, license terms, and ethical considerations when using this data set. <strong>Acknowledgments</strong><br> This work was financially supported by: ‘Crowd management: The physics of genome processing in complex environments’ of Stichting voor Fundamenteel Onderzoek der Materie, China Scholarship Council (funding No. 201704910912) and the European Union H2020 Marie-Sklowdowska Curie International Training Network AntiHelix, Grant Agreement n. 859853. <strong>Author Contributions</strong><br> J.C-D., L X., M.T.J.H., and G.J.L.W. conceptualized the research; J.C-D., and L.X. collected data; I.H. built the combined optical trapping and confocal microscope instrument and developed the MATLAB code for the analysis of kymograph data; S.A.S. and A.v.O. provided purified wild type T7 gp2.5 and tested their biochemical activity; S-J L. provided purified gp2.5-Δ21C and tested their biochemical activity; L X. J.C-D., and M.T.J.H. analyzed the data; J.C-D., L X., M.T.J.H., and G.J.L.W. wrote the manuscript; G.J.L.W. supervised the project; the manuscript is read, revised and confirmed by all the<br>