Enhancing Protein Crystal Nucleation Using In Situ Templating on Bioconjugate-Functionalized Nanoparticles and Machine Learning
Name
mccue-et-al-2023-enhancing-protein-crystal-nucleation-using-in-situ-templating-on-bioconjugate-functionalized.pdf
Description
Published version
Size
4.94 MB
Format
Adobe PDF
Checksum (MD5)
4dcf069edbe79296a91b57fe5925cc22
Author(s)
McCue, Caroline
Girard, Henri-Louis
Varanasi, Kripa K.
Date Issued
February 28, 2023
Journal
ACS Applied Materials & Interfaces
Publisher
American Chemical Society
Citation
CS Appl. Mater. Interfaces 2023, 15, 10, 12622–12630
Version
Final published version
Abstract
Although protein crystallization offers a promising alternative to chromatography for lower-cost protein purification, slow nucleation kinetics and high protein concentration requirements are major barriers for using crystallization as a viable strategy in downstream protein purification. Here, we demonstrate that nanoparticles functionalized with bioconjugates can result in an in situ template for inducing rapid crystallization of proteins at low protein concentration conditions. We use a microbatch crystallization setup to show that the range of successful crystallization conditions is expanded by the presence of functionalized nanoparticles. Furthermore, we use a custom machine learning-enabled emulsion crystallization setup to rigorously quantify nucleation parameters. We show that bioconjugate-functionalized nanoparticles can result in up to a 7-fold decrease in the induction time and a 3-fold increase in the nucleation rate of model proteins compared to those in control environments. We thus provide foundational insight that could enable crystallization to be used in protein manufacturing by reducing both the protein concentration and the time required to nucleate protein crystals.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1021/acsami.2c17208
