Noise in noise out - single molecule studies of molecular motors

Many cellular functions rely on the movements of molecular motors. Single molecule studies of these motors allow investigation into their step-sizes and stall forces. Such studies inevitably involve noise, which is inherent in the biological and imaging systems probing these motors. Having to work with noise in the system, we develop a parameter, called the FIONA Index, which serves as a guide for data quality based on noise per step-size (NPS) and frames per step (FPS). Attempting to bring the noise out of the system, we develop Magnetic Cytoskeleton Affinity (MiCA) purification to remove excess dyes that prevent clear observation of individual motors. We show that with appropriate treatment of noise, complex systems can be assembled to study how multiple motors work together.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Biophysics & Computnl Biology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Tjioe, Marco

Contributors dc:contributor

• Selvin, Paul R.
• Chemla, Yann R.
• DeMarco, Brian L.
• Zhang, Kai

• Kinesin
• Single molecule
• Dynein
• Noise
• Frames per step (FPS)
• Magnetic purification
• Signal-to-noise ratio
• Molecular motor

Statement dc:rights

• Copyright 2017 Marco Tjioe

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/98156

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/98156