(
A) Examples illustrative of the instantaneous diffusion analysis pipeline. Briefly, trajectories are subdivided into rolling windows of roughly 0.8 s in length, and diffusion coefficients are calculated using MATLAB ‘MSD analyzer’ (
Tinevez, 2022). Trajectory 1 (top) is an example of SWR1 diffusion on naked DNA, where SWR1 exhibits mostly high (diffusion coefficient >0.04 µm
2/s) and medium diffusion (diffusion coefficient >0.01 and <0.04 µm
2/s). Trajectory 2 (bottom) is an example of dCas9 which is used as an immobile control and exhibits mostly slow/immobile instantaneous diffusion (diffusion coefficient <0.01 µm
2/s). To reduce spurious detections in high/medium/low diffusion transitions caused in part by background noise, trajectories were first smoothened and only states lasting longer than 10 frames (~0.4 s) were called as real transitions. (
B) (Top plot) The instantaneous diffusion coefficient averaged for all trajectories is plotted as a function of time for SWR1 on naked DNA, on the nucleosome array and for dCas9 with standard error of the mean (standard error of the mean, SEM) shown for errors. (Bottom plot) For all trajectories aligned at their starts, the percentage of traces with instantaneous diffusion characterized as immobile is plotted as a function of time with SEM shown for errors. (
C) The percentage of individual traces that is slow/immobile (dCas9 with low immobile percentages represent traces collected in the presence of high background such as those collected in the dCas9 protein channel (10 mM dCas9) or near leakage from the dCas9 protein channel). Black bars indicate a median value. (
D) 1-CDF dwell-time analysis of SWR1 in the slow/immobile state. Data were best fit to a double exponential decay producing a slow and fast tau value. (
E) Based on the double exponential fit, the percentage of immobile events best represented by the slow tau are plotted. (
F) Slow and fast tau values for SWR1 on naked DNA versus the nucleosome array.