4.7 Article

Effect of Protein Surface Charge Distribution on Protein- Polyelectrolyte Complexation

Journal

BIOMACROMOLECULES
Volume 21, Issue 8, Pages 3026-3037

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.biomac.0c00346

Keywords

-

Funding

  1. United States Defense Threat Reduction Agency [HDTRA1-16-1-0038]
  2. Department of Energy Office of Basic Energy Sciences Neutron Scattering Program [DE-SC0007106]
  3. U.S. Department of Energy (DOE) [DE-SC0007106] Funding Source: U.S. Department of Energy (DOE)

Ask authors/readers for more resources

Charge anisotropy or the presence of charge patches at protein surfaces has long been thought to shift the coacervation curves of proteins and has been used to explain the ability of some proteins to coacervate on the wrong side of their isoelectric point. This work makes use of a panel of engineered superfolder green fluorescent protein mutants with varying surface charge distributions but equivalent net charge and a suite of strong and weak polyelectrolytes to explore this concept. A patchiness parameter, which assessed the charge correlation between points on the surface of the protein, was used to quantify the patchiness of the designed mutants. Complexation between the polyelectrolytes and proteins showed that the mutant with the largest patchiness parameter was the most likely to form complexes, while the smallest was the least likely to do so. The patchiness parameter was found to correlate well with the phase behavior of the protein- polymer mixtures, where both macrophase separation and the formation of soluble aggregates were promoted by increasing the patchiness depending on the polyelectrolyte with which the protein was mixed. Increasing total charge and increasing strength of the polyelectrolyte promote interactions for oppositely charged polyelectrolytes, while charge regulation is also key to interactions for similarly charged polyelectrolytes, which must interact selectively with oppositely charged patches.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Multidisciplinary

Modulating Nanoparticle Size to Understand Factors Affecting Hemostatic Efficacy and Maximize Survival in a Lethal Inferior Vena Cava Injury Model

Celestine Hong, Osaid Alser, Anthony Gebran, Yanpu He, Wontae Joo, Nikolaos Kokoroskos, George Velmahos, Bradley D. Olsen, Paula T. Hammond

Summary: In this study, the interaction between nanoparticles and platelets was systematically evaluated in vitro and in vivo, showing that particle size plays a crucial role. Smaller particles were found to bind a larger percentage of platelets, while intermediate particles recruited more platelets to the wound, leading to enhanced hemostasis. Furthermore, smaller and intermediate nanoparticles exhibited longer circulation lifetimes, while larger nanoparticles accumulated more in the lungs. These findings highlight the importance of platelet content in aggregates and extended nanoparticle circulation lifetimes in enhancing hemostasis, providing useful insights for engineering particulate hemostats.

ACS NANO (2022)

Article Chemistry, Multidisciplinary

Design and simulation of a uniform irradiance photochemical platform

Dylan J. Walsh, Timo N. Schneider, Bradley D. Olsen, Klavs F. Jensen

Summary: This paper presents a design of a versatile, uniform light platform for photochemistry to improve the performance and reproducibility of high throughput experiments. The design is based on the development of an open-source ray tracing light simulation package and is experimentally validated using radiometry. The usefulness of the platform is demonstrated through its application in photoinduced electron transfer-reversible addition-fragmentation chain transfer polymerization of methyl acrylate.

REACTION CHEMISTRY & ENGINEERING (2023)

Article Chemistry, Physical

Democratizing the rapid screening of protein expression for materials development

Melody A. Morris, Rogerio A. Bataglioli, Danielle J. Mai, Yun Jung Yang, Justin M. Paloni, Carolyn E. Mills, Zachary D. Schmitz, Erika A. Ding, Allison C. Huske, Bradley D. Olsen

Summary: Protein materials have unique properties that make them suitable for various applications. This article introduces an automated platform for protein expression, which allows testing of different combinations of DNA vectors and Escherichia coli strains. Within a week, high-yield expression conditions can be determined.

MOLECULAR SYSTEMS DESIGN & ENGINEERING (2023)

Article Biochemistry & Molecular Biology

Automated, High-Throughput Screening of Hybrid Elastin-like Polysaccharide/Polypeptide Multilayer Film Deposition

Rogerio A. Bataglioli, Bruno S. Leao, Carolyn E. Mills, Joao Batista M. Rocha Neto, Thiago B. Taketa, Bradley D. Olsen, Marisa M. Beppu

Summary: The self-assembled layer-by-layer technique is a popular method for engineering biofunctional surfaces. This paper introduces an automated, high-throughput approach to depositing polyelectrolyte multilayers (PEMs) in multiwell plates, allowing for screening of numerous film formulations simultaneously. The method was successfully validated by studying the deposition of different types of films and analyzing their properties. This study demonstrates the challenges associated with predicting the growth and properties of multilayer films and highlights the importance of the high-throughput layer-by-layer method in accelerating film development.

BIOMACROMOLECULES (2023)

Article Multidisciplinary Sciences

High-throughput experimentation for discovery of biodegradable polyesters

Katharina A. Fransen, Sarah H. M. Av-Ron, Tess R. Buchanan, Dylan J. Walsh, Dechen T. Rota, Lana Van Note, Bradley D. Olsen

Summary: The development of biodegradable plastics has been driven by the increasing plastic pollution. However, limited research on polymer biodegradation has hindered innovation due to costly and slow measurement methods. To tackle this issue, a high-throughput polymer synthesis and biodegradation method were utilized to generate a dataset for 642 chemically distinct polyesters and polycarbonates. The results showed that biodegradability depended on the length of the aliphatic repeat unit, with shorter chains and side chains improving biodegradability. Aromatic backbone groups generally hindered biodegradability, but ortho- and para-substituted benzene rings were more degradable than meta-substituted rings. In addition, ether groups in the backbone improved biodegradability.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)

Article Polymer Science

Conformation of Network Strands in Polymer Gels

Haley K. Beech, Jeremiah A. Johnson, Bradley D. Olsen

Summary: Small angle neutron scattering was used to measure the single chain radii of gyration of end-linked polymer gels before and after cross-linking. The prestrain, which is the ratio of the average chain size in a cross-linked network to that of a free chain in solution, increased as gel synthesis concentration decreased near the overlap concentration. Dilute gels with higher loop fractions were found to be spatially homogeneous. The results provide a reference for network theories that rely on prestrain for the calculation of mechanical properties.

ACS MACRO LETTERS (2023)

Article Chemistry, Medicinal

BigSMARTS: A Topologically Aware Query Language and Substructure Search Algorithm for Polymer Chemical Structures

Nathan J. Rebello, Tzyy-Shyang Lin, Heeba Nazeer, Bradley D. Olsen

Summary: Molecular search is essential in various fields, including chemistry, biology, and informatics. However, the search algorithms for polymers are less developed compared to small molecules due to the challenges in polymer naming and limited substructure search. This study introduces a novel query language and graph traversal search algorithm for polymers, which can fully capture all chemical structures in polymers. The algorithm has been validated against hundreds of target chemistries and topologies, demonstrating its effectiveness in matching monomer connectivity and polymer topology.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Multidisciplinary

High-Throughput Screening of Streptavidin-Binding Proteins in Self-Assembled Solid Films for Directed Evolution of Materials

Melody A. Morris, Carolyn E. Mills, Justin M. Paloni, Eric A. Miller, Hadley D. Sikes, Bradley D. Olsen

Summary: Evolution shapes diverse properties of proteins. Incorporating proteins into materials is desired for applications, but high-throughput selection techniques are lacking. This study established a high-throughput platform to assess binding affinity for ordered sensing proteins. Fusion proteins library was constructed, and selected variants showed high binding in films. The assembly of fusion proteins and the functionality of binding protein are key factors in biosensing performance. Integration of directed evolution with assembled systems is necessary for designing better materials.

NANO LETTERS (2023)

Article Materials Science, Multidisciplinary

Hindered segmental dynamics in associative protein hydrogels studied by neutron spin-echo spectroscopy

Ameya Rao, Brian R. Carrick, Helen Yao, Bradley D. Olsen

Summary: This study investigates the effects of transient binding on short-time segmental dynamics in associative polymer gels. The results show that a short-time cooperative diffusion mode is observed in all gels, but the diffusion coefficients decrease with increasing junction density. Additionally, the characteristic length scale of nondecaying chain dynamics is estimated to be smaller than the interjunction spacing but similar to the correlation blob size of the overlapping strands.

PHYSICAL REVIEW MATERIALS (2023)

Article Chemistry, Physical

Structural and dynamic heterogeneity in associative networks formed by artificially engineered protein polymers

Ameya Rao, Bradley D. D. Olsen

Summary: This study investigates the static gel structure and cooperative multi-chain motion in associative networks using a model system composed of artificial coiled-coil proteins. The results show evidence for three static length scales in all protein gel designs, which are attributed to correlations from blob length, inter-junction spacing, and multi-chain density fluctuations. The self-diffusion measurements reveal a transition between slow and fast diffusive species, occurring on a length scale similar to the neutron scattering observations. The analysis supports the primarily single-chain mechanisms of self-diffusion and the occurrence of single-molecule hopping.

SOFT MATTER (2023)

Article Polymer Science

Reactivity-Guided Depercolation Processes Determine Fracture Behavior in End-Linked Polymer Networks

Haley K. Beech, Shu Wang, Devosmita Sen, Dechen Rota, Tatiana B. Kouznetsova, Akash Arora, Michael Rubinstein, Stephen L. Craig, Bradley D. Olsen

Summary: The study explores reactivity-guided fracture in polymer networks with different compositions of strands. It is found that increasing the content of less reactive strands has a negligible impact on the fracture energy until a certain threshold, after which the fracture energy sharply increases. The study also reveals that the loss of percolated network structure is a necessary criterion for crack propagation in polymer networks.

ACS MACRO LETTERS (2023)

Article Polymer Science

Kinetics of Polymer Gel Formation Cause Deviation from Percolation Theory in the Dilute Regime

Haley K. Beech, Tzyy-Shyang Lin, Devosmita Sen, Dechen Rota, Bradley D. Olsen

Summary: The gel point behavior of end-linked poly-(ethylene glycol) gel was studied through experiments and simulations. Results showed that the forward and reverse gel points diverged as the concentration decreased, suggesting that kinetic effects caused a departure from percolation behavior in defect-rich gels.

MACROMOLECULES (2023)

Article Chemistry, Multidisciplinary

Generative BigSMILES: an extension for polymer informatics, computer simulations & ML/AI

Ludwig Schneider, Dylan Walsh, Bradley Olsen, Juan de Pablo

Summary: The enhanced version of BigSMILES notation, called generative BigSMILES, provides a foundational tool for automated polymeric material design. By integrating additional data and utilizing a generative graph algorithm, the notation allows for efficient specification of complex molecular ensembles. The combination of generative BigSMILES with advanced machine learning techniques has the potential to accelerate materials design processes and advance the field of polymer science.

DIGITAL DISCOVERY (2023)

Article Chemistry, Multidisciplinary

Synthetic Collagen Hydrogels through Symmetric Self-Assembly of Small Peptides

I. Caglar Tanrikulu, Lianna Dang, Lekha Nelavelli, Aubrey J. Ellison, Bradley D. Olsen, Song Jin, Ronald T. Raines

Summary: This study successfully designed synthetic collagen hydrogels by maximizing the interactions of the triple helix structure of collagen. It further explored the relationship between self-assembly of short CMPs and interfiber association.

ADVANCED SCIENCE (2023)

Article Engineering, Environmental

Efficient ROS activation by highly stabilized aqueous ICG encapsulated upconversion nanoparticles for tumor cell imaging and therapeutics

Yue Wu, Chen Yuan, Xianjing Jia, Zhiyuan Zheng, Xijiao Yang, Jintao Yang, A. Basak Kayitmazer, Ayyaz Ahmad, Naveed Ramzan, Yisheng Xu

Summary: In this study, stable dye-sensitized upconversion nanoparticles (UCNPs) were prepared using flash nanoprecipitation (FNP) technology for cancer cell imaging and treatment. Compared to traditional methods, UCNPs obtained through FNP exhibited smaller size, narrower size distribution, and higher stability.

CHEMICAL ENGINEERING JOURNAL (2023)

No Data Available