» Articles » PMID: 38472292

A New Method to Experimentally Quantify Dynamics of Initial Protein-protein Interactions

Overview
Journal Commun Biol
Specialty Biology
Date 2024 Mar 13
PMID 38472292
Authors
Affiliations
Soon will be listed here.
Abstract

Cells run on initiation of protein-protein interactions, which are dynamically tuned spatially and temporally to modulate cellular events. This tuning can be physical, such as attaching the protein to a cargo or protein complex, thereby altering its diffusive properties, or modulating the distance between protein pairs, or chemical, by altering the proteins' conformations (e.g., nucleotide binding state of an enzyme, post-translational modification of a protein, etc.). Because a dynamic and changing subset of proteins in the cell could be in any specific state, ensemble measurements are not ideal-to untangle which of the factors are important, and how, we need single-molecule measurements. Experimentally, until now we have not had good tools to precisely measure initiation of such protein-protein interactions at the single-molecule level. Here, we develop a new method to measure dynamics of initial protein-protein interactions, allowing measurement of how properties such as the distance between proteins, and their tethered length can modulate the rate of interactions. In addition to precise measurement distance dependent motor-MT rebinding dynamics, we demonstrate the use of a dithered optical trap to measure dynamic motor-MT interactions and further discuss the possibilities of this technique being applicable to other systems.

Citing Articles

Utilizing Molecular Dynamics Simulations, Machine Learning, Cryo-EM, and NMR Spectroscopy to Predict and Validate Protein Dynamics.

Son A, Kim W, Park J, Lee W, Lee Y, Choi S Int J Mol Sci. 2024; 25(17).

PMID: 39273672 PMC: 11395565. DOI: 10.3390/ijms25179725.


Phosphatidic acid-dependent recruitment of microtubule motors to spherical supported lipid bilayers for in vitro motility assays.

Kumar P, Chaudhury D, Sanghavi P, Meghna A, Mallik R Cell Rep. 2024; 43(6):114252.

PMID: 38771696 PMC: 11220796. DOI: 10.1016/j.celrep.2024.114252.


Competition between physical search and a weak-to-strong transition rate-limits kinesin binding times.

Nguyen T, Narayanareddy B, Gross S, Miles C PLoS Comput Biol. 2024; 20(5):e1012158.

PMID: 38768214 PMC: 11142708. DOI: 10.1371/journal.pcbi.1012158.


Characterization of the interaction between the Sec61 translocon complex and ppαF using optical tweezers.

Robeson L, Casanova-Morales N, Burgos-Bravo F, Alfaro-Valdes H, Lesch R, Ramirez-Alvarez C Protein Sci. 2024; 33(6):e4996.

PMID: 38747383 PMC: 11094780. DOI: 10.1002/pro.4996.


ADP release can explain spatially-dependent kinesin binding times.

Nguyen T, Narayanareddy B, Gross S, Miles C bioRxiv. 2023; .

PMID: 37986962 PMC: 10659338. DOI: 10.1101/2023.11.08.563482.

References
1.
Bovyn M, Narayanareddy B, Gross S, Allard J . Diffusion of kinesin motors on cargo can enhance binding and run lengths during intracellular transport. Mol Biol Cell. 2021; 32(9):984-994. PMC: 8108528. DOI: 10.1091/mbc.E20-10-0658. View

2.
Rai A, Rai A, Ramaiya A, Jha R, Mallik R . Molecular adaptations allow dynein to generate large collective forces inside cells. Cell. 2013; 152(1-2):172-82. DOI: 10.1016/j.cell.2012.11.044. View

3.
Shang M, Zhou Z, Kuang W, Wang Y, Xin B, Huang Z . High-precision 3D drift correction with differential phase contrast images. Opt Express. 2021; 29(21):34641-34655. DOI: 10.1364/OE.438160. View

4.
Woods E, Kai F, Barnes J, Pedram K, Pickup M, Hollander M . A bulky glycocalyx fosters metastasis formation by promoting G1 cell cycle progression. Elife. 2017; 6. PMC: 5739539. DOI: 10.7554/eLife.25752. View

5.
Sanchez W, Robeson L, Carrasco V, Figueroa N, Burgos-Bravo F, Wilson C . Determination of protein-protein interactions at the single-molecule level using optical tweezers. Q Rev Biophys. 2022; 55:e8. DOI: 10.1017/S0033583522000075. View