Cytoskeletal motor proteins are essential to the function of a wide range of intra-cellular mechano-systems. The biophysical characterization of the movement of motor proteins along their filamentous tracks is therefore of large importance. Towards this end, in vitro stepping motility assays are commonly used to determine the motor’s velocities and runlengths. However, comparing results from such experiments has proved difficult due to influences from variations in the experimental setups, the experimental conditions and the data analysis methods. This work describes a novel unified method to evaluate traces of fluorescently-labeled, processive dimeric motor proteins and proposes an algorithm to correct the measurements for finite filament length as well as photobleaching. Statistical errors of the proposed evaluation method are estimated by a bootstrap method. Numerical simulation and experimental data from GFP-labeled kinesin-1 motors stepping along immobilized microtubules was used to verify the proposed approach and it was shown (i) that the velocity distribution should be fitted by a t location-scale probability density function rather than a normal distribution, (ii) that the temperature during the experiments should be controlled with a precision well below 1 K, (iii) that the impossibility to measure events shorter than the image acquisition time needs to be accounted for, (iv) that the motor’s runlength can be estimated independent of the filament length distribution, and (v) that the dimeric nature of the motors needs to be considered when correcting for photobleaching. This allows for a better statistical comparison of motor proteins influenced by other external factors e.g. ionic strength, ATP concentration, or post-translational modifications of the filaments. In this context, the described method was then applied to experimental data to investigate the influence of the nucleotide state of the microtubule on the motility behavior of the kinesin-1 motor proteins. Here, a small but significant difference in the velocity measurements was found, but no significant difference in the runlength and interaction time measurements. Consequently, this work provides a framework for the evaluation of a wide range of experiments with single fluorescently-labeled motor proteins.

Cytoskeletal motor proteins are essential to the function of a wide range of intra-cellular mechano-systems. The biophysical characterization of the movement of motor proteins along their filamentous tracks is therefore of large importance. Towards this end, in vitro stepping motility assays are commonly used to determine the motor’s velocities and runlengths. However, comparing results from such experiments has proved difficult due to influences from variations in the experimental setups, the experimental conditions and the data analysis methods. This work describes a novel unified method to evaluate traces of fluorescently-labeled, processive dimeric motor proteins and proposes an algorithm to correct the measurements for finite filament length as well as photobleaching. Statistical errors of the proposed evaluation method are estimated by a bootstrap method. Numerical simulation and experimental data from GFP-labeled kinesin-1 motors stepping along immobilized microtubules was used to verify the proposed approach and it was shown (i) that the velocity distribution should be fitted by a t location-scale probability density function rather than a normal distribution, (ii) that the temperature during the experiments should be controlled with a precision well below 1 K, (iii) that the impossibility to measure events shorter than the image acquisition time needs to be accounted for, (iv) that the motor’s runlength can be estimated independent of the filament length distribution, and (v) that the dimeric nature of the motors needs to be considered when correcting for photobleaching. This allows for a better statistical comparison of motor proteins influenced by other external factors e.g. ionic strength, ATP concentration, or post-translational modifications of the filaments. In this context, the described method was then applied to experimental data to investigate the influence of the nucleotide state of the microtubule on the motility behavior of the kinesin-1 motor proteins. Here, a small but significant difference in the velocity measurements was found, but no significant difference in the runlength and interaction time measurements. Consequently, this work provides a framework for the evaluation of a wide range of experiments with single fluorescently-labeled motor proteins.