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Patkar SS, Wang B, Mosquera AM, Kiick KL. Genetically Fusing Order-Promoting and Thermoresponsive Building Blocks to Design Hybrid Biomaterials. Chemistry 2024; 30:e202400582. [PMID: 38501912 DOI: 10.1002/chem.202400582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 03/20/2024]
Abstract
The unique biophysical and biochemical properties of intrinsically disordered proteins (IDPs) and their recombinant derivatives, intrinsically disordered protein polymers (IDPPs) offer opportunities for producing multistimuli-responsive materials; their sequence-encoded disorder and tendency for phase separation facilitate the development of multifunctional materials. This review highlights the strategies for enhancing the structural diversity of elastin-like polypeptides (ELPs) and resilin-like polypeptides (RLPs), and their self-assembled structures via genetic fusion to ordered motifs such as helical or beta sheet domains. In particular, this review describes approaches that harness the synergistic interplay between order-promoting and thermoresponsive building blocks to design hybrid biomaterials, resulting in well-structured, stimuli-responsive supramolecular materials ordered on the nanoscale.
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Affiliation(s)
- Sai S Patkar
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware, 19716, United States
- Eli Lilly and Company, 450 Kendall Street, Cambridge, MA, 02142, United States
| | - Bin Wang
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware, 19716, United States
| | - Ana Maria Mosquera
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware, 19716, United States
| | - Kristi L Kiick
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware, 19716, United States
- Department of Biomedical Engineering, University of Delaware, Newark, Delaware, 19716, United States
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2
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Britton D, Legocki J, Paul D, Katsara O, Aristizabal O, Pandya N, Mishkit O, Xiao Y, Aristizabal M, Rahman N, Schneider R, Wadghiri YZ, Montclare JK. Coiled-Coil Protein Hydrogels Engineered with Minimized Fiber Diameters for Sustained Release of Doxorubicin in Triple-Negative Breast Cancer. ACS Biomater Sci Eng 2024; 10:3425-3437. [PMID: 38622760 PMCID: PMC11094684 DOI: 10.1021/acsbiomaterials.4c00349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/31/2024] [Accepted: 04/03/2024] [Indexed: 04/17/2024]
Abstract
Triple-negative breast cancer (TNBC) lacks expressed protein targets, making therapy development challenging. Hydrogels offer a promising new route in this regard by improving the chemotherapeutic efficacy through increased solubility and sustained release. Moreover, subcutaneous hydrogel administration reduces patient burden by requiring less therapy and shorter treatment times. We recently established the design principles for the supramolecular assembly of single-domain coiled-coils into hydrogels. Using a modified computational design algorithm, we designed Q8, a hydrogel with rapid assembly for faster therapeutic hydrogel preparation. Q8 encapsulates and releases doxorubicin (Dox), enabling localized sustained release via subcutaneous injection. Remarkably, a single subcutaneous injection of Dox-laden Q8 (Q8•Dox) significantly suppresses tumors within just 1 week. This work showcases the bottom-up engineering of a fully protein-based drug delivery vehicle for improved TBNC treatment via noninvasive localized therapy.
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Affiliation(s)
- Dustin Britton
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Jakub Legocki
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Deven Paul
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Olga Katsara
- Department
of Microbiology, New York University Grossman
School of Medicine, New York, New York 10016, United States
| | - Orlando Aristizabal
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Neelam Pandya
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Orin Mishkit
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Yingxin Xiao
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Matias Aristizabal
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Neha Rahman
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Robert Schneider
- Department
of Microbiology, New York University Grossman
School of Medicine, New York, New York 10016, United States
- Department
of Radiation Oncology, New York University
Grossman School of Medicine, New
York, New York 10016, United States
| | - Youssef Z. Wadghiri
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Jin Kim Montclare
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York 10016, United States
- Department
of Biomedical Engineering, New York University
Tandon School of Engineering, Brooklyn ,New York11201, United States
- Department
of Chemistry, New York University, New York, New York 10012, United States
- Department
of Biomaterials, New York University College
of Dentistry, New York, New York 10010, United States
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3
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Britton D, Christians LF, Liu C, Legocki J, Xiao Y, Meleties M, Yang L, Cammer M, Jia S, Zhang Z, Mahmoudinobar F, Kowalski Z, Renfrew PD, Bonneau R, Pochan DJ, Pak AJ, Montclare JK. Computational Prediction of Coiled-Coil Protein Gelation Dynamics and Structure. Biomacromolecules 2024; 25:258-271. [PMID: 38110299 PMCID: PMC10777397 DOI: 10.1021/acs.biomac.3c00968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 12/20/2023]
Abstract
Protein hydrogels represent an important and growing biomaterial for a multitude of applications, including diagnostics and drug delivery. We have previously explored the ability to engineer the thermoresponsive supramolecular assembly of coiled-coil proteins into hydrogels with varying gelation properties, where we have defined important parameters in the coiled-coil hydrogel design. Using Rosetta energy scores and Poisson-Boltzmann electrostatic energies, we iterate a computational design strategy to predict the gelation of coiled-coil proteins while simultaneously exploring five new coiled-coil protein hydrogel sequences. Provided this library, we explore the impact of in silico energies on structure and gelation kinetics, where we also reveal a range of blue autofluorescence that enables hydrogel disassembly and recovery. As a result of this library, we identify the new coiled-coil hydrogel sequence, Q5, capable of gelation within 24 h at 4 °C, a more than 2-fold increase over that of our previous iteration Q2. The fast gelation time of Q5 enables the assessment of structural transition in real time using small-angle X-ray scattering (SAXS) that is correlated to coarse-grained and atomistic molecular dynamics simulations revealing the supramolecular assembling behavior of coiled-coils toward nanofiber assembly and gelation. This work represents the first system of hydrogels with predictable self-assembly, autofluorescent capability, and a molecular model of coiled-coil fiber formation.
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Affiliation(s)
- Dustin Britton
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Luc F. Christians
- Department
of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado 80401, United States
| | - Chengliang Liu
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Jakub Legocki
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Yingxin Xiao
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Michael Meleties
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Lin Yang
- National
Synchrotron Light Source-II, Brookhaven
National Laboratory, Upton, New York 11973, United States
| | - Michael Cammer
- Microscopy
Laboratory, New York University Langone
Health, New York, New York 10016, United States
| | - Sihan Jia
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Zihan Zhang
- Department
of Materials Science and Engineering, University
of Delaware, Newark, Delaware 19716, United States
| | - Farbod Mahmoudinobar
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
- Center for
Computational Biology, Flatiron Institute, Simons Foundation, New York, New York 10010, United States
| | - Zuzanna Kowalski
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - P. Douglas Renfrew
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Richard Bonneau
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
- Center
for Genomics and Systems Biology, New York
University, New York, New York 10003, United States
- Courant
Institute of Mathematical Sciences, Computer Science Department, New York University, New York, New York 10009, United States
| | - Darrin J. Pochan
- Department
of Materials Science and Engineering, University
of Delaware, Newark, Delaware 19716, United States
| | - Alexander J. Pak
- Department
of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado 80401, United States
- Quantitative
Biosciences and Engineering, Colorado School
of Mines, Golden, Colorado 80401, United States
| | - Jin Kim Montclare
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
- Department
of Chemistry, New York University, New York, New York 10012, United States
- Department of Biomedical Engineering, New
York University, New York, New York 11201, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department
of Radiology, New York University School
of Medicine, New York, New York 10016, United States
- Department of Biomaterials, New York University
College of Dentistry, New York, New York 10010, United States
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4
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Britton D, Legocki J, Aristizabal O, Mishkit O, Liu C, Jia S, Renfrew PD, Bonneau R, Wadghiri YZ, Montclare JK. Protein-Engineered Fibers For Drug Encapsulation Traceable via 19F Magnetic Resonance. ACS APPLIED NANO MATERIALS 2023; 6:21245-21257. [PMID: 38037605 PMCID: PMC10682962 DOI: 10.1021/acsanm.3c04357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 12/02/2023]
Abstract
Theranostic materials research is experiencing rapid growth driven by the interest in integrating both therapeutic and diagnostic modalities. These materials offer the unique capability to not only provide treatment but also track the progression of a disease. However, to create an ideal theranostic biomaterial without compromising drug encapsulation, diagnostic imaging must be optimized for improved sensitivity and spatial localization. Herein, we create a protein-engineered fluorinated coiled-coil fiber, Q2TFL, capable of improved sensitivity to 19F magnetic resonance spectroscopy (MRS) detection. Leveraging residue-specific noncanonical amino acid incorporation of trifluoroleucine (TFL) into the coiled-coil, Q2, which self-assembles into nanofibers, we generate Q2TFL. We demonstrate that fluorination results in a greater increase in thermostability and 19F magnetic resonance detection compared to the nonfluorinated parent, Q2. Q2TFL also exhibits linear ratiometric 19F MRS thermoresponsiveness, allowing it to act as a temperature probe. Furthermore, we explore the ability of Q2TFL to encapsulate the anti-inflammatory small molecule, curcumin (CCM), and its impact on the coiled-coil structure. Q2TFL also provides hyposignal contrast in 1H MRI, echogenic signal with high-frequency ultrasound and sensitive detection by 19F MRS in vivo illustrating fluorination of coiled-coils for supramolecular assembly and their use with 1H MRI, 19F MRS and high frequency ultrasound as multimodal theranostic agents.
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Affiliation(s)
- Dustin Britton
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Jakub Legocki
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Orlando Aristizabal
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York 10016, United States
| | - Orin Mishkit
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York 10016, United States
| | - Chengliang Liu
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Sihan Jia
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
| | - Paul Douglas Renfrew
- Center
for Computational Biology, Flatiron Institute,
Simons Foundation, New York, New York 10010, United States
| | - Richard Bonneau
- Center
for Computational Biology, Flatiron Institute,
Simons Foundation, New York, New York 10010, United States
- Center for
Genomics and Systems Biology, New York University, New York, New York 10003, United States
- Courant
Institute
of Mathematical Sciences, Computer Science Department, New York University, New York, New York 10009, United States
| | - Youssef Z. Wadghiri
- Center
for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York 10016, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York 10016, United States
| | - Jin Kim Montclare
- Department
of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, United States
- Bernard
and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York 10016, United States
- Department
of Chemistry, New York University, New York, New York 10012, United States
- Department
of Biomaterials, New York University College
of Dentistry, New York, New York 10010, United States
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5
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Agrahari A, Lipton M, Chmielewski J. Metal-Promoted Higher-Order Assembly of Disulfide-Stapled Helical Barrels. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2645. [PMID: 37836285 PMCID: PMC10574645 DOI: 10.3390/nano13192645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023]
Abstract
Peptide-based helical barrels are a noteworthy building block for hierarchical assembly, with a hydrophobic cavity that can serve as a host for cargo. In this study, disulfide-stapled helical barrels were synthesized containing ligands for metal ions on the hydrophilic face of each amphiphilic peptide helix. The major product of the disulfide-stapling reaction was found to be composed of five amphiphilic peptides, thereby going from a 16-amino-acid peptide to a stapled 80-residue protein in one step. The structure of this pentamer, 5HB1, was optimized in silico, indicating a significant hydrophobic cavity of ~6 Å within a helical barrel. Metal-ion-promoted assembly of the helical barrel building blocks generated higher order assemblies with a three-dimensional (3D) matrix morphology. The matrix was decorated with hydrophobic dyes and His-tagged proteins both before and after assembly, taking advantage of the hydrophobic pocket within the helical barrels and coordination sites within the metal ion-peptide framework. As such, this peptide-based biomaterial has potential for a number of biotechnology applications, including supplying small molecule and protein growth factors during cell and tissue growth within the matrix.
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Affiliation(s)
| | - Mark Lipton
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, USA;
| | - Jean Chmielewski
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, USA;
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6
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Patkar SS, Tang Y, Bisram AM, Zhang T, Saven JG, Pochan DJ, Kiick KL. Genetic Fusion of Thermoresponsive Polypeptides with UCST-type Behavior Mediates 1D Assembly of Coiled-Coil Bundlemers. Angew Chem Int Ed Engl 2023; 62:e202301331. [PMID: 36988077 DOI: 10.1002/anie.202301331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 03/30/2023]
Abstract
Thermoresponsive resilin-like polypeptides (RLPs) of various lengths were genetically fused to two different computationally designed coiled coil-forming peptides with distinct thermal stability, to develop new strategies to assemble coiled coil peptides via temperature-triggered phase separation of the RLP units. Their successful production in bacterial expression hosts was verified via gel electrophoresis, mass spectrometry, and amino acid analysis. Circular dichroism (CD) spectroscopy, ultraviolet-visible (UV/Vis) turbidimetry, and dynamic light scattering (DLS) measurements confirmed the stability of the coiled coils and showed that the thermosensitive phase behavior of the RLPs was preserved in the genetically fused hybrid polypeptides. Cryogenic-transmission electron microscopy and coarse-grained modeling revealed that functionalizing the coiled coils with thermoresponsive RLPs leads to their thermally triggered noncovalent assembly into nanofibrillar assemblies.
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Affiliation(s)
- Sai S Patkar
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA
| | - Yao Tang
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA
| | - Arriana M Bisram
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA
| | - Tianren Zhang
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeffery G Saven
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Darrin J Pochan
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA
| | - Kristi L Kiick
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA
- Department of Biomedical Engineering, University of Delaware, Newark, DE 19716, USA
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7
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Punia K, Britton D, Hüll K, Yin L, Wang Y, Renfrew PD, Gilchrist ML, Bonneau R, Trauner D, Montclare JK. Fluorescent azobenzene-confined coiled-coil mesofibers. SOFT MATTER 2023; 19:497-501. [PMID: 36538008 DOI: 10.1039/d2sm01578a] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Fluorescent protein biomaterials have important applications such as bioimaging in pharmacological studies. Self-assembly of proteins, especially into fibrils, is known to produce fluorescence in the blue band. Capable of self-assembly into nanofibers, we have shown we can modulate its aggregation into mesofibers by encapsulation of a small hydrophobic molecule. Conversely, azobenzenes are hydrophobic small molecules that are virtually non-fluorescent in solution due to their highly efficient photoisomerization. However, they demonstrate fluorogenic properties upon confinement in nanoscale assemblies by reducing the non-radiative photoisomerization. Here, we report the fluorescence of a hybrid protein-small molecule system in which azobenzene is confined in our protein assembly leading to fiber thickening and increased fluorescence. We show our engineered protein Q encapsulates AzoCholine, bearing a photoswitchable azobenzene moiety, in the hydrophobic pore to produce fluorescent mesofibers. This study further investigates the photocontrol of protein conformation as well as fluorescence of an azobenze-containing biomaterial.
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Affiliation(s)
- Kamia Punia
- Departments of Chemical and Biomolecular Engineering, Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, USA.
| | - Dustin Britton
- Departments of Chemical and Biomolecular Engineering, Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, USA.
| | - Katharina Hüll
- Department of Chemistry, New York University, New York, New York 10003, USA
- Department of Chemistry, Ludwig Maximilian University, München, Germany
| | - Liming Yin
- Departments of Chemical and Biomolecular Engineering, Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, USA.
| | - Yifei Wang
- Departments of Chemical and Biomolecular Engineering, Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, USA.
| | - P Douglas Renfrew
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
| | - M Lane Gilchrist
- Department of Chemical Engineering and Biomedical Engineering, The City College of the City University of New York, New York, New York 10031, USA
| | - Richard Bonneau
- Center for Genomics and Systems Biology, Department of Biology, New York University New York, New York 10003, USA
| | - Dirk Trauner
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jin K Montclare
- Departments of Chemical and Biomolecular Engineering, Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, USA.
- Department of Chemistry, New York University, New York, New York 10003, USA
- Department of Biomaterials, NYU College of Dentistry, New York, NY, 10010, USA
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