1
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Madsen AV, Mejias-Gomez O, Pedersen LE, Preben Morth J, Kristensen P, Jenkins TP, Goletz S. Structural trends in antibody-antigen binding interfaces: a computational analysis of 1833 experimentally determined 3D structures. Comput Struct Biotechnol J 2024; 23:199-211. [PMID: 38161735 PMCID: PMC10755492 DOI: 10.1016/j.csbj.2023.11.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024] Open
Abstract
Antibodies are attractive therapeutic candidates due to their ability to bind cognate antigens with high affinity and specificity. Still, the underlying molecular rules governing the antibody-antigen interface remain poorly understood, making in silico antibody design inherently difficult and keeping the discovery and design of novel antibodies a costly and laborious process. This study investigates the characteristics of antibody-antigen binding interfaces through a computational analysis of more than 850,000 atom-atom contacts from the largest reported set of antibody-antigen complexes with 1833 nonredundant, experimentally determined structures. The analysis compares binding characteristics of conventional antibodies and single-domain antibodies (sdAbs) targeting both protein- and peptide antigens. We find clear patterns in the number antibody-antigen contacts and amino acid frequencies in the paratope. The direct comparison of sdAbs and conventional antibodies helps elucidate the mechanisms employed by sdAbs to compensate for their smaller size and the fact that they harbor only half the number of complementarity-determining regions compared to conventional antibodies. Furthermore, we pinpoint antibody interface hotspot residues that are often found at the binding interface and the amino acid frequencies at these positions. These findings have direct potential applications in antibody engineering and the design of improved antibody libraries.
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Affiliation(s)
- Andreas V. Madsen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Oscar Mejias-Gomez
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Lasse E. Pedersen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - J. Preben Morth
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Peter Kristensen
- Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark
| | - Timothy P. Jenkins
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Steffen Goletz
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
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2
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Zhang G, Kuang X, Zhang Y, Liu Y, Su Z, Zhang T, Wu Y. Machine-learning-based structural analysis of interactions between antibodies and antigens. Biosystems 2024; 243:105264. [PMID: 38964652 DOI: 10.1016/j.biosystems.2024.105264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 06/21/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
Computational analysis of paratope-epitope interactions between antibodies and their corresponding antigens can facilitate our understanding of the molecular mechanism underlying humoral immunity and boost the design of new therapeutics for many diseases. The recent breakthrough in artificial intelligence has made it possible to predict protein-protein interactions and model their structures. Unfortunately, detecting antigen-binding sites associated with a specific antibody is still a challenging problem. To tackle this challenge, we implemented a deep learning model to characterize interaction patterns between antibodies and their corresponding antigens. With high accuracy, our model can distinguish between antibody-antigen complexes and other types of protein-protein complexes. More intriguingly, we can identify antigens from other common protein binding regions with an accuracy of higher than 70% even if we only have the epitope information. This indicates that antigens have distinct features on their surface that antibodies can recognize. Additionally, our model was unable to predict the partnerships between antibodies and their particular antigens. This result suggests that one antigen may be targeted by more than one antibody and that antibodies may bind to previously unidentified proteins. Taken together, our results support the precision of antibody-antigen interactions while also suggesting positive future progress in the prediction of specific pairing.
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Affiliation(s)
- Grace Zhang
- Staples High School, 70 North Avenue, Westport, CT, 06880, USA
| | - Xiaohan Kuang
- Data Science Institute, Vanderbilt University, 1001 19th Ave S, Nashville, TN, 37212, USA
| | - Yuhao Zhang
- Data Science Institute, Vanderbilt University, 1001 19th Ave S, Nashville, TN, 37212, USA
| | - Yunchao Liu
- Department of Computer Science, Vanderbilt University, 1400 18th Ave S, Nashville, TN, 37212, USA
| | - Zhaoqian Su
- Data Science Institute, Vanderbilt University, 1001 19th Ave S, Nashville, TN, 37212, USA
| | - Tom Zhang
- California Institute of Technology, 1200 East California Boulevard, Pasadena, CA, 91125, USA.
| | - Yinghao Wu
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
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3
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Ciubotariu II, Broyles BK, Xie S, Thimmapuram J, Mwenda MC, Mambwe B, Mulube C, Matoba J, Schue JL, Moss WJ, Bridges DJ, He Q, Carpi G. Diversity and selection analyses identify transmission-blocking antigens as the optimal vaccine candidates in Plasmodium falciparum. EBioMedicine 2024; 106:105227. [PMID: 39018754 DOI: 10.1016/j.ebiom.2024.105227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/18/2024] [Accepted: 06/18/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND A highly effective vaccine for malaria remains an elusive target, at least in part due to the under-appreciated natural parasite variation. This study aimed to investigate genetic and structural variation, and immune selection of leading malaria vaccine candidates across the Plasmodium falciparum's life cycle. METHODS We analysed 325 P. falciparum whole genome sequences from Zambia, in addition to 791 genomes from five other African countries available in the MalariaGEN Pf3k Database. Ten vaccine antigens spanning three life-history stages were examined for genetic and structural variations, using population genetics measures, haplotype network analysis, and 3D structure selection analysis. FINDINGS Among the ten antigens analysed, only three in the transmission-blocking vaccine category display P. falciparum 3D7 as the dominant haplotype. The antigens AMA1, CSP, MSP119 and CelTOS, are much more diverse than the other antigens, and their epitope regions are under moderate to strong balancing selection. In contrast, Rh5, a blood stage antigen, displays low diversity yet slightly stronger immune selection in the merozoite-blocking epitope region. Except for CelTOS, the transmission-blocking antigens Pfs25, Pfs48/45, Pfs230, Pfs47, and Pfs28 exhibit minimal diversity and no immune selection in epitopes that induce strain-transcending antibodies, suggesting potential effectiveness of 3D7-based vaccines in blocking transmission. INTERPRETATION These findings offer valuable insights into the selection of optimal vaccine candidates against P. falciparum. Based on our results, we recommend prioritising conserved merozoite antigens and transmission-blocking antigens. Combining these antigens in multi-stage approaches may be particularly promising for malaria vaccine development initiatives. FUNDING Purdue Department of Biological Sciences; Puskas Memorial Fellowship; National Institute of Allergy and Infectious Diseases (U19AI089680).
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Affiliation(s)
- Ilinca I Ciubotariu
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Bradley K Broyles
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Shaojun Xie
- Bioinformatics Core, Purdue University, West Lafayette, IN, USA
| | | | - Mulenga C Mwenda
- PATH-Malaria Control and Elimination Partnership in Africa (MACEPA), National Malaria Elimination Centre, Lusaka, Zambia
| | - Brenda Mambwe
- PATH-Malaria Control and Elimination Partnership in Africa (MACEPA), National Malaria Elimination Centre, Lusaka, Zambia
| | - Conceptor Mulube
- PATH-Malaria Control and Elimination Partnership in Africa (MACEPA), National Malaria Elimination Centre, Lusaka, Zambia
| | | | - Jessica L Schue
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - William J Moss
- The W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Qixin He
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
| | - Giovanna Carpi
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA; Purdue Institute of Inflammation, Immunology and Infectious Disease, West Lafayette, IN, USA.
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4
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Tao J, Dhanjee HH, Gribble MW, Kottisch V, Rodriguez J, Brown JS, Schmidt H, Juneja J, Denhez F, Lee PS, Lipovšek D, Krystek S, Zhang Y, Bousquet P, Zhang Y, Pentelute BL, Buchwald SL. Site-Specific Antibody Prodrugs via S-Arylation: a Bioconjugation Approach Toward Masked Tyrosine Analogues. J Am Chem Soc 2024; 146:20080-20085. [PMID: 39001844 DOI: 10.1021/jacs.4c04035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/15/2024]
Abstract
The utility of antibody therapeutics is hampered by potential cross-reactivity with healthy tissue. Over the past decade, significant advances have been made in the design of activatable antibodies, which increase, or create altogether, the therapeutic window of a parent antibody. Of these, antibody prodrugs (pro-antibodies) are masked antibodies that have advanced the most for therapeutic use. They are designed to reveal the active, parent antibody only when encountering proteases upregulated in the microenvironment of the targeted disease tissue, thereby minimizing off-target activity. However, current pro-antibody designs are relegated to fusion proteins that append masking groups restricted to the use of only canonical amino acids, offering excellent control of the site of introduction, but with no authority over where the masking group is installed other than the N-terminus of the antibody. Here, we present a palladium-based bioconjugation approach for the site-specific introduction of a masked tyrosine mimic in the complementary determining region of the FDA approved antibody therapeutic ipilimumab used as a model system. The approach enables the introduction of a protease cleavable group tethered to noncanonical polymers (polyethylene glycol (PEG)) resulting in 47-fold weaker binding to cells expressing CTLA-4, the target antigen of ipilimumab. Upon exposure to tumor-associated proteases, the masking group is cleaved, unveiling a tyrosine-mimic (dubbed hydroxyphenyl cysteine (HPC)) that restores (>90% restoration) binding affinity to its target antigen.
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Affiliation(s)
- Jason Tao
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Heemal H Dhanjee
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Michael W Gribble
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Veronika Kottisch
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Jacob Rodriguez
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Joseph S Brown
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Holly Schmidt
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Juhi Juneja
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Fabienne Denhez
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Peter S Lee
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Daša Lipovšek
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Stanley Krystek
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Yihong Zhang
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Patrick Bousquet
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Yong Zhang
- Research and Early Development, Bristol Myers Squibb, P.O. Box 4000, Princeton, New Jersey 08544, United States
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02142, United States
- Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, United States
| | - Stephen L Buchwald
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
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5
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Gavade A, Nagraj AK, Patel R, Pais R, Dhanure P, Scheele J, Seiz W, Patil J. Understanding the Specific Implications of Amino Acids in the Antibody Development. Protein J 2024; 43:405-424. [PMID: 38724751 DOI: 10.1007/s10930-024-10201-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2024] [Indexed: 06/01/2024]
Abstract
As the demand for immunotherapy to treat and manage cancers, infectious diseases and other disorders grows, a comprehensive understanding of amino acids and their intricate role in antibody engineering has become a prime requirement. Naturally produced antibodies may not have the most suitable amino acids at the complementarity determining regions (CDR) and framework regions, for therapeutic purposes. Therefore, to enhance the binding affinity and therapeutic properties of an antibody, the specific impact of certain amino acids on the antibody's architecture must be thoroughly studied. In antibody engineering, it is crucial to identify the key amino acid residues that significantly contribute to improving antibody properties. Therapeutic antibodies with higher binding affinity and improved functionality can be achieved through modifications or substitutions with highly suitable amino acid residues. Here, we have indicated the frequency of amino acids and their association with the binding free energy in CDRs. The review also analyzes the experimental outcome of two studies that reveal the frequency of amino acids in CDRs and provides their significant correlation between the outcomes. Additionally, it discusses the various bond interactions within the antibody structure and antigen binding. A detailed understanding of these amino acid properties should assist in the analysis of antibody sequences and structures needed for designing and enhancing the overall performance of therapeutic antibodies.
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Affiliation(s)
- Akshata Gavade
- Innoplexus Consulting Services Pvt Ltd, 7Th Floor, Midas Tower, Hinjawadi, Pune, Maharashtra, 411057, India
| | - Anil Kumar Nagraj
- Innoplexus Consulting Services Pvt Ltd, 7Th Floor, Midas Tower, Hinjawadi, Pune, Maharashtra, 411057, India
| | - Riya Patel
- Innoplexus Consulting Services Pvt Ltd, 7Th Floor, Midas Tower, Hinjawadi, Pune, Maharashtra, 411057, India
| | - Roylan Pais
- Innoplexus Consulting Services Pvt Ltd, 7Th Floor, Midas Tower, Hinjawadi, Pune, Maharashtra, 411057, India
| | - Pratiksha Dhanure
- Innoplexus Consulting Services Pvt Ltd, 7Th Floor, Midas Tower, Hinjawadi, Pune, Maharashtra, 411057, India
| | | | | | - Jaspal Patil
- Innoplexus Consulting Services Pvt Ltd, 7Th Floor, Midas Tower, Hinjawadi, Pune, Maharashtra, 411057, India.
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6
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McConnell SA, Casadevall A. Immunoglobulin constant regions provide stabilization to the paratope and enforce epitope specificity. J Biol Chem 2024; 300:107397. [PMID: 38763332 PMCID: PMC11215335 DOI: 10.1016/j.jbc.2024.107397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 05/09/2024] [Indexed: 05/21/2024] Open
Abstract
Constant domains in antibody molecules at the level of the Fab (CH1 and CL) have long been considered to be simple scaffolding elements that physically separate the paratope-defining variable (V) region from the effector function-mediating constant (C) regions. However, due to recent findings that C domains of different isotypes can modulate the fine specificity encoded in the V region, elucidating the role of C domains in shaping the paratope and influencing specificity is a critical area of interest. To dissect the relative contributions of each C domain to this phenomenon, we generated antibody fragments with different C regions omitted, using a set of antibodies targeting capsular polysaccharides from the fungal pathogen, Cryptococcus neoformans. Antigen specificity mapping and functional activity measurements revealed that V region-only antibody fragments exhibited poly-specificity to antigenic variants and extended to recognition of self-antigens, while measurable hydrolytic activity of the capsule was greatly attenuated. To better understand the mechanistic origins of the remarkable loss of specificity that accompanies the removal of C domains from identical paratopes, we performed molecular dynamics simulations which revealed increased paratope plasticity in the scFv relative to the corresponding Fab. Together, our results provide insight into how the remarkable specificity of immunoglobulins is governed and maintained at the level of the Fab through the enforcement of structural restrictions on the paratope by CH1 domains.
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Affiliation(s)
- Scott A McConnell
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Arturo Casadevall
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
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7
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Kausar MA, Bhardwaj T, Alenazi F, Alshammari KF, Anwar S, Ali A, AboElnaga SMH, Najm MZ, Saeed M. A comprehensive immunoinformatics study to explore and characterize potential vaccine constructs against Ole e 9 allergen of Olea europaea. J Biomol Struct Dyn 2024; 42:4644-4655. [PMID: 37340658 DOI: 10.1080/07391102.2023.2224884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 05/31/2023] [Indexed: 06/22/2023]
Abstract
Immunoglobulin E (IgE)-mediated allergy, which affects more than 30% of the population, is the most prevalent hypersensitivity illness. In an atopic individual, even a small amount of allergen exposure can cause IgE antibodies to be produced. Due to the engagement of receptors that are highly selective for IgE, even tiny amounts of allergens can induce massive inflammation. This study focuses on the exploration and characterization of the allergen potential of Olea europaea allergen (Ole e 9) affecting the population in Saudi Arabia. A systematic computational approach was performed to identify potential epitopes of allergens and complementary determining regions of IgE. In support, physiochemical characterization and secondary structure analysis unravel the structural conformations of allergens and active sites. Epitope prediction uses a pool of computational algorithms to identify plausible epitopes. Furthermore, the vaccine construct was assessed for its binding efficiency using molecular docking and molecular dynamics simulation studies, which led to strong and stable interactions. This is because IgE is known to play a role in allergic responses, which facilitate host cell activation for an immune response. Overall, the immunoinformatics analysis advocates that the proposed vaccine candidate is safe and immunogenic and therefore can be pushed as a lead for in vitro and in vivo investigations.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mohd Adnan Kausar
- Department of Biochemistry, College of Medicine, University of Ha'il, Ha'il, Saudi Arabia
| | - Tulika Bhardwaj
- Department of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Fahaad Alenazi
- Department of Pharmacology, College of Medicine, University of Ha'il, Ha'il, Saudi Arabia
| | - Khalid F Alshammari
- Department of Internal Medicine, College of Medicine, University of Ha'il, Ha'il, Saudi Arabia
| | - Sadaf Anwar
- Department of Biochemistry, College of Medicine, University of Ha'il, Ha'il, Saudi Arabia
| | - Abrar Ali
- Department of Pharmacology, College of Medicine, University of Ha'il, Ha'il, Saudi Arabia
| | - Shimaa M H AboElnaga
- Department of Basic Science, Deanship of Preparatory Year, University of Ha'il, Ha'il, Saudi Arabia
| | - Mohammad Z Najm
- School of Biosciences, Apeejay Stya University, Gurugram, India
| | - Mohd Saeed
- Department of Biology, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia
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Han X, He X, Wang X, Luo L, Li Y, Lai D, Liu H, Liu J, Rao S, Liu G. Comparative analysis of tropomyosin allergenicity in three different species of molluscs: insights into the role of amino acid composition in IgE epitopes. Food Funct 2024; 15:5397-5413. [PMID: 38639426 DOI: 10.1039/d4fo00958d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Limited research has been conducted on the differences in allergenicity among Alectryonella plicatula tropomyosin (ATM), Haliotis discus hannai tropomyosin (HTM), and Mimachlamys nobilis tropomyosin (MTM) in molluscs. Our study aimed to comprehensively analyze and compare their immunoreactivity, sensitization, and allergenicity while simultaneously elucidating the underlying molecular mechanisms involved. We assessed the immune binding activity of TM utilizing 86 sera from allergic patients and evaluated sensitization and allergenicity through two different types of mouse models. The dot-blot and basophil activation test assays revealed strong immunoreactivity for HTM, ATM, and MTM, with HTM exhibiting significantly lower levels compared to ATM. In the BALB/c mouse sensitization model, all TM groups stimulated the production of specific antibodies, elicited IgE-mediated immediate hypersensitivity responses, and caused an imbalance in the IL-4/IFN-γ ratio. Similarly, in the BALB/c mouse model of food allergy, all TM variants induced IgE-mediated type I hypersensitivity responses, leading to the development of food allergies characterized by clinical symptoms and an imbalance in the IL-4/IFN-γ ratio. The stimulation ability of sensitization and the severity of food allergies consistently ranked as ATM > MTM > HTM. Through an in-depth analysis of non-polar amino acid frequency and polar hydrogen bonds, HTM exhibited higher frequencies of non-polar amino acids in its amino acid sequence and IgE epitopes, in comparison with ATM and MTM. Furthermore, HTM demonstrated a lower number of polar hydrogen bonds in IgE epitopes. Overall, HTM exhibited the lowest allergenic potential in both allergic patients and mouse models, likely due to its lower polarity in the amino acid sequence and IgE epitopes.
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Affiliation(s)
- Xinyu Han
- College of Ocean Food and Biological Engineering, Xiamen Key Laboratory of Marine Functional Food, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, Fujian 361021, China.
| | - Xinrong He
- College of Ocean Food and Biological Engineering, Xiamen Key Laboratory of Marine Functional Food, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, Fujian 361021, China.
| | - Xinya Wang
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Lianzhong Luo
- Engineering Research Center of Marine Biopharmaceutical Resources, Fujian Province University, Xiamen Medical College, Xiamen, Fujian 361023, China
| | - Yubao Li
- Medical Center of Jimei University, Xiamen, Fujian 361021, China
| | - Dong Lai
- Xiamen Medical College Affiliated Second Hospital, Xiamen, Fujian 361021, China
| | - Hong Liu
- College of Ocean Food and Biological Engineering, Xiamen Key Laboratory of Marine Functional Food, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, Fujian 361021, China.
| | - Jingwen Liu
- College of Ocean Food and Biological Engineering, Xiamen Key Laboratory of Marine Functional Food, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, Fujian 361021, China.
| | - Shitao Rao
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, Fujian 350122, China
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
| | - Guangming Liu
- College of Ocean Food and Biological Engineering, Xiamen Key Laboratory of Marine Functional Food, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, Fujian 361021, China.
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9
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Ciubotariu II, Broyles BK, Xie S, Thimmapuram J, Mwenda MC, Mambwe B, Mulube C, Matoba J, Schue JL, Moss WJ, Bridges DJ, He Q, Carpi G. Diversity and selection analyses identify transmission-blocking antigens as the optimal vaccine candidates in Plasmodium falciparum. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.11.24307175. [PMID: 38766239 PMCID: PMC11100930 DOI: 10.1101/2024.05.11.24307175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Background A highly effective vaccine for malaria remains an elusive target, at least in part due to the under-appreciated natural parasite variation. This study aimed to investigate genetic and structural variation, and immune selection of leading malaria vaccine candidates across the Plasmodium falciparum's life cycle. Methods We analyzed 325 P. falciparum whole genome sequences from Zambia, in addition to 791 genomes from five other African countries available in the MalariaGEN Pf3k Rdatabase. Ten vaccine antigens spanning three life-history stages were examined for genetic and structural variations, using population genetics measures, haplotype network analysis, and 3D structure selection analysis. Findings Among the ten antigens analyzed, only three in the transmission-blocking vaccine category display P. falciparum 3D7 as the dominant haplotype. The antigens AMA1, CSP, MSP119 and CelTOS, are much more diverse than the other antigens, and their epitope regions are under moderate to strong balancing selection. In contrast, Rh5, a blood stage antigen, displays low diversity yet slightly stronger immune selection in the merozoite-blocking epitope region. Except for CelTOS, the transmission-blocking antigens Pfs25, Pfs48/45, Pfs230, Pfs47, and Pfs28 exhibit minimal diversity and no immune selection in epitopes that induce strain-transcending antibodies, suggesting potential effectiveness of 3D7-based vaccines in blocking transmission. Interpretations These findings offer valuable insights into the selection of optimal vaccine candidates against P. falciparum. Based on our results, we recommend prioritizing conserved merozoite antigens and transmission-blocking antigens. Combining these antigens in multi-stage approaches may be particularly promising for malaria vaccine development initiatives. Funding Purdue Department of Biological Sciences; Puskas Memorial Fellowship; National Institute of Allergy and Infectious Diseases (U19AI089680).
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Affiliation(s)
- Ilinca I. Ciubotariu
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Bradley K. Broyles
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Shaojun Xie
- Bioinformatics Core, Purdue University, West Lafayette, Indiana, USA
| | | | - Mulenga C. Mwenda
- PATH-Malaria Control and Elimination Partnership in Africa (MACEPA), National Malaria Elimination Centre, Lusaka, Zambia
| | - Brenda Mambwe
- PATH-Malaria Control and Elimination Partnership in Africa (MACEPA), National Malaria Elimination Centre, Lusaka, Zambia
| | - Conceptor Mulube
- PATH-Malaria Control and Elimination Partnership in Africa (MACEPA), National Malaria Elimination Centre, Lusaka, Zambia
| | | | - Jessica L. Schue
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - William J. Moss
- The W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Qixin He
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Giovanna Carpi
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
- Purdue Institute of Inflammation, Immunology and Infectious Disease, West Lafayette, Indiana, USA
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10
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Yang Y, He X, Li F, He S, Liu M, Li M, Xia F, Su W, Liu G. Animal-derived food allergen: A review on the available crystal structure and new insights into structural epitope. Compr Rev Food Sci Food Saf 2024; 23:e13340. [PMID: 38778570 DOI: 10.1111/1541-4337.13340] [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: 08/19/2023] [Accepted: 03/19/2024] [Indexed: 05/25/2024]
Abstract
Immunoglobulin E (IgE)-mediated food allergy is a rapidly growing public health problem. The interaction between allergens and IgE is at the core of the allergic response. One of the best ways to understand this interaction is through structural characterization. This review focuses on animal-derived food allergens, overviews allergen structures determined by X-ray crystallography, presents an update on IgE conformational epitopes, and explores the structural features of these epitopes. The structural determinants of allergenicity and cross-reactivity are also discussed. Animal-derived food allergens are classified into limited protein families according to structural features, with the calcium-binding protein and actin-binding protein families dominating. Progress in epitope characterization has provided useful information on the structural properties of the IgE recognition region. The data reveals that epitopes are located in relatively protruding areas with negative surface electrostatic potential. Ligand binding and disulfide bonds are two intrinsic characteristics that influence protein structure and impact allergenicity. Shared structures, local motifs, and shared epitopes are factors that lead to cross-reactivity. The structural properties of epitope regions and structural determinants of allergenicity and cross-reactivity may provide directions for the prevention, diagnosis, and treatment of food allergies. Experimentally determined structure, especially that of antigen-antibody complexes, remains limited, and the identification of epitopes continues to be a bottleneck in the study of animal-derived food allergens. A combination of traditional immunological techniques and emerging bioinformatics technology will revolutionize how protein interactions are characterized.
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Affiliation(s)
- Yang Yang
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
- College of Environment and Public Health, Xiamen Huaxia University, Xiamen, Fujian, China
| | - Xinrong He
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
| | - Fajie Li
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
| | - Shaogui He
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen, Fujian, China
| | - Meng Liu
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
- College of Marine Biology, Xiamen Ocean Vocational College, Xiamen, Fujian, China
| | - Mengsi Li
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
- School of Food Engineering, Zhangzhou Institute of Technology, Zhangzhou, Fujian, China
| | - Fei Xia
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
| | - Wenjin Su
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
| | - Guangming Liu
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
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11
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Depmeier H, Kath-Schorr S. Expanding the Horizon of the Xeno Nucleic Acid Space: Threose Nucleic Acids with Increased Information Storage. J Am Chem Soc 2024; 146:7743-7751. [PMID: 38442021 DOI: 10.1021/jacs.3c14626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Xeno nucleic acids (XNAs) constitute a class of synthetic nucleic acid analogues characterized by distinct, non-natural modifications within the tripartite structure of the nucleic acid polymers. While most of the described XNAs contain a modification in only one structural element of the nucleic acid scaffold, this work explores the XNA chemical space to create more divergent variants with modifications in multiple parts of the nucleosidic scaffold. Combining the enhanced nuclease resistance of α-l-threofuranosyl nucleic acid (TNA) and the almost natural-like replication efficiency and fidelity of the unnatural hydrophobic base pair (UBP) TPT3:NaM, novel modified nucleoside triphosphates with a dual modification pattern were synthesized. We investigated the enzymatic incorporation of these nucleotide building blocks by XNA-compatible polymerases and confirmed the successful enzymatic synthesis of TPT3-modified TNA, while the preparation of NaM-modified TNA presented greater challenges. This study marks the first enzymatic synthesis of TNA with an expanded genetic alphabet (exTNA), opening promising opportunities in nucleic acid therapeutics, particularly for the selection and evolution of nuclease-resistant, high-affinity aptamers with increased chemical diversity.
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Affiliation(s)
- Hannah Depmeier
- Institute of Organic Chemistry, Department of Chemistry, University of Cologne, Greinstrasse 4, Cologne 50939, Germany
| | - Stephanie Kath-Schorr
- Institute of Organic Chemistry, Department of Chemistry, University of Cologne, Greinstrasse 4, Cologne 50939, Germany
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12
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Majumdar B, Sarma D, Yu Y, Lozoya-Colinas A, Chaput JC. Increasing the functional density of threose nucleic acid. RSC Chem Biol 2024; 5:41-48. [PMID: 38179195 PMCID: PMC10763562 DOI: 10.1039/d3cb00159h] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/18/2023] [Indexed: 01/06/2024] Open
Abstract
Chemical strategies that augment genetic polymers with amino acid residues that are overrepresented on the paratope surface of an antibody offer a promising route for enhancing the binding properties of nucleic acid aptamers. Here, we describe the chemical synthesis of α-l-threofuranosyl cytidine nucleoside triphosphate (tCTP) carrying either a benzyl or phenylpropyl side chain at the pyrimidine C-5 position. Polymerase recognition studies indicate that both substrates are readily incorporated into a full-length α-l-threofuranosyl nucleic acid (TNA) product by extension of a DNA primer-template duplex with an engineered TNA polymerase. Similar primer extension reactions performed using nucleoside triphosphate mixtures containing both C-5 modified tCTP and C-5 modified tUTP substrates enable the production of doubly modified TNA strands for a panel of 20 chemotype combinations. Kinetic measurements reveal faster on-rates (kon) and tighter binding affinity constants (Kd) for engineered versions of TNA aptamers carrying chemotypes at both pyrimidine positions as compared to their singly modified counterparts. These findings expand the chemical space of evolvable non-natural genetic polymers by offering a path for improving the quality of biologically stable TNA aptamers for future clinical applications.
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Affiliation(s)
- Biju Majumdar
- Department of Pharmaceutical Sciences, University of California Irvine CA 92697-3958 USA +1 949-824-8149
| | - Daisy Sarma
- Department of Pharmaceutical Sciences, University of California Irvine CA 92697-3958 USA +1 949-824-8149
| | - Yutong Yu
- Department of Pharmaceutical Sciences, University of California Irvine CA 92697-3958 USA +1 949-824-8149
| | - Adriana Lozoya-Colinas
- Department of Pharmaceutical Sciences, University of California Irvine CA 92697-3958 USA +1 949-824-8149
| | - John C Chaput
- Department of Pharmaceutical Sciences, University of California Irvine CA 92697-3958 USA +1 949-824-8149
- Department of Chemistry, University of California Irvine CA 92697-3958 USA
- Department of Molecular Biology and Biochemistry, University of California Irvine CA 92697-3958 USA
- Department of Chemical and Biomolecular Engineering, University of California Irvine CA 92697-3958 USA
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13
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Park E, Izadi S. Molecular surface descriptors to predict antibody developability: sensitivity to parameters, structure models, and conformational sampling. MAbs 2024; 16:2362788. [PMID: 38853585 PMCID: PMC11168226 DOI: 10.1080/19420862.2024.2362788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 05/29/2024] [Indexed: 06/11/2024] Open
Abstract
In silico assessment of antibody developability during early lead candidate selection and optimization is of paramount importance, offering a rapid and material-free screening approach. However, the predictive power and reproducibility of such methods depend heavily on the selection of molecular descriptors, model parameters, accuracy of predicted structure models, and conformational sampling techniques. Here, we present a set of molecular surface descriptors specifically designed for predicting antibody developability. We assess the performance of these descriptors by benchmarking their correlations with an extensive array of experimentally determined biophysical properties, including viscosity, aggregation, hydrophobic interaction chromatography, human pharmacokinetic clearance, heparin retention time, and polyspecificity. Further, we investigate the sensitivity of these surface descriptors to methodological nuances, such as the choice of interior dielectric constant, hydrophobicity scales, structure prediction methods, and the impact of conformational sampling. Notably, we observe systematic shifts in the distribution of surface descriptors depending on the structure prediction method used, driving weak correlations of surface descriptors across structure models. Averaging the descriptor values over conformational distributions from molecular dynamics mitigates the systematic shifts and improves the consistency across different structure prediction methods, albeit with inconsistent improvements in correlations with biophysical data. Based on our benchmarking analysis, we propose six in silico developability risk flags and assess their effectiveness in predicting potential developability issues for a set of case study molecules.
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Affiliation(s)
- Eliott Park
- Pharmaceutical Development, Genentech Inc, South San Francisco, CA, USA
| | - Saeed Izadi
- Pharmaceutical Development, Genentech Inc, South San Francisco, CA, USA
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14
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Zhang G, Su Z, Zhang T, Wu Y. Machine-learning-based Structural Analysis of Interactions between Antibodies and Antigens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.06.570397. [PMID: 38106177 PMCID: PMC10723427 DOI: 10.1101/2023.12.06.570397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Computational analysis of paratope-epitope interactions between antibodies and their corresponding antigens can facilitate our understanding of the molecular mechanism underlying humoral immunity and boost the design of new therapeutics for many diseases. The recent breakthrough in artificial intelligence has made it possible to predict protein-protein interactions and model their structures. Unfortunately, detecting antigen-binding sites associated with a specific antibody is still a challenging problem. To tackle this challenge, we implemented a deep learning model to characterize interaction patterns between antibodies and their corresponding antigens. With high accuracy, our model can distinguish between antibody-antigen complexes and other types of protein-protein complexes. More intriguingly, we can identify antigens from other common protein binding regions with an accuracy of higher than 70% even if we only have the epitope information. This indicates that antigens have distinct features on their surface that antibodies can recognize. Additionally, our model was unable to predict the partnerships between antibodies and their particular antigens. This result suggests that one antigen may be targeted by more than one antibody and that antibodies may bind to previously unidentified proteins. Taken together, our results support the precision of antibody-antigen interactions while also suggesting positive future progress in the prediction of specific pairing.
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Affiliation(s)
- Grace Zhang
- Staples High School, 70 North Avenue, Westport, CT 06880
| | - Zhaoqian Su
- Data Science Institute, Vanderbilt University, 1001 19th Ave S, Nashville, TN, 37212
| | - Tom Zhang
- California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125
| | - Yinghao Wu
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461
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15
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Sanders C, Dzelamonyuy A, Ntemafack A, Alatoom N, Nchinda G, Georgiadis MM, Bopda Waffo A. Mapping immunological and host receptor binding determinants of SARS-CoV spike protein utilizing the Qubevirus platform. J Biol Chem 2023; 299:105460. [PMID: 37977224 PMCID: PMC10750099 DOI: 10.1016/j.jbc.2023.105460] [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: 08/03/2023] [Revised: 10/25/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
The motifs involved in tropism and immunological interactions of SARS-CoV spike (S) protein were investigated utilizing the Qubevirus platform. We showed that separately, 14 overlapping peptide fragments representing the S protein (F1-14 of 100 residues each) could be inserted into the C terminus of A1 on recombinant Qubevirus without affecting its viability. Additionally, recombinant phage expression resulted in the surface exposure of different engineered fragments in an accessible manner. The F6 from S425-525 was found to contain the binding determinant of the recombinant human angiotensin-converting enzyme 2, with the shortest active binding motif situated between residues S437-492. Upstream, another fragment, F7, containing an overlapping portion of F6 would not bind to recombinant human angiotensin-converting enzyme 2, confirming that a contiguous stretch of residues could adopt the appropriate structural orientation of F6 as an insertion within the Qubevirus. The F6 (S441-460) and other inserts, including F7/F8 (S601-620) and F10 (S781-800), were demonstrated to contain important immunological determinants through recognition and binding of S protein specific (anti-S) antibodies. An engineered chimeric insert bearing the fusion of all three anti-S reactive epitopes improved substantially the recognition and binding to their cognate antibodies. These results provide insights into humoral immune relevant epitopes and tropism characteristics of the S protein with implications for the development of subunit vaccines or other biologics against SARS-CoV.
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Affiliation(s)
- Carrie Sanders
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Disease, Center for Disease Control, Atlanta, Georgia, USA
| | - Aristide Dzelamonyuy
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Augustin Ntemafack
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Nadia Alatoom
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Godwin Nchinda
- Department of Immunology, Laboratory of Vaccinology and Biobanking, Yaoundé, Cameroon
| | - Millie M Georgiadis
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Alain Bopda Waffo
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
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16
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Sasaki T, Kasama T, Nokihara K. A novel cyclic peptide library immobilized on gel-type beads focusing on rapid construction and characterization for comprehensive drug discovery. Chem Biol Drug Des 2023; 102:1327-1335. [PMID: 37658589 DOI: 10.1111/cbdd.14331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 09/03/2023]
Abstract
Medium sized molecules such as peptides and macrocycles have recently drawn much attention as potent sources of medicinal lead compounds, whereas the possibility of obtaining a practical drug from them remains limited. The present paper describes a concept of discovering novel medicinal targets or binding modes as well as lead compounds by the one-peptide-on-one-bead (OPOB) technology for comprehensive screening. The difficulty and problems in conventional drug discovery methods that generally deal with one predetermined target are considered. The building blocks used for the present libraries were selected based on previous results in development of peptidic drugs. Each constituent has the common structure of cyclic form prepared by disulfide of cysteinyl residues or thioether linkages, additionally a methionine residue was inserted for the site-specific rapid cleavage by cyanogen bromide to liberate the immobilized peptides allowing reliable characterization by MALDI-TOF-MS/MS without LC-purification. Thus, a high throughput construction method for cyclic peptide libraries as well as characterization of single bead are proposed for drug discovery.
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17
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Lozoya-Colinas A, Yu Y, Chaput JC. Functionally Enhanced XNA Aptamers Discovered by Parallelized Library Screening. J Am Chem Soc 2023; 145:25789-25796. [PMID: 37962593 PMCID: PMC10690791 DOI: 10.1021/jacs.3c09497] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/15/2023]
Abstract
In vitro evolution strategies have been used for >30 years to generate nucleic acid aptamers against therapeutic targets of interest, including disease-associated proteins. However, this process requires many iterative cycles of selection and amplification, which severely restricts the number of target and library design combinations that can be explored in parallel. Here, we describe a single-round screening approach to aptamer discovery that relies on function-enhancing chemotypes to increase the distribution of high-affinity sequences in a random-sequence library. We demonstrate the success of de novo discovery by affinity selection of threomers against the receptor binding domain of the S1 protein from SARS-CoV-2. Detailed biochemical characterization of the enriched population identified threomers with binding affinity values that are comparable to aptamers produced by conventional SELEX. This work establishes a highly parallelizable path for querying diverse chemical repertoires and may offer a viable route for accelerating the discovery of therapeutic aptamers.
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Affiliation(s)
- Adriana Lozoya-Colinas
- Department
of Pharmaceutical Sciences, University of
California, Irvine, Irvine, California 92697-3958, United States
| | - Yutong Yu
- Department
of Pharmaceutical Sciences, University of
California, Irvine, Irvine, California 92697-3958, United States
| | - John C. Chaput
- Department
of Pharmaceutical Sciences, University of
California, Irvine, Irvine, California 92697-3958, United States
- Department
of Chemistry, University of California,
Irvine, Irvine, California 92697-3958, United States
- Department
of Molecular Biology and Biochemistry, University
of California, Irvine, Irvine, California 92697-3958, United States
- Department
of Chemical and Biomolecular Engineering, University of California, Irvine, Irvine, California 92697-3958, United States
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18
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Islam S, Pantazes RJ. Developing similarity matrices for antibody-protein binding interactions. PLoS One 2023; 18:e0293606. [PMID: 37883504 PMCID: PMC10602319 DOI: 10.1371/journal.pone.0293606] [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: 05/16/2023] [Accepted: 10/17/2023] [Indexed: 10/28/2023] Open
Abstract
The inventions of AlphaFold and RoseTTAFold are revolutionizing computational protein science due to their abilities to reliably predict protein structures. Their unprecedented successes are due to the parallel consideration of several types of information, one of which is protein sequence similarity information. Sequence homology has been studied for many decades and depends on similarity matrices to define how similar or different protein sequences are to one another. A natural extension of predicting protein structures is predicting the interactions between proteins, but similarity matrices for protein-protein interactions do not exist. This study conducted a mutational analysis of 384 non-redundant antibody-protein antigen complexes to calculate antibody-protein interaction similarity matrices. Every important residue in each antibody and each antigen was mutated to each of the other 19 commonly occurring amino acids and the percentage changes in interaction energies were calculated using three force fields: CHARMM, Amber, and Rosetta. The data were used to construct six interaction similarity matrices, one for antibodies and another for antigens using each force field. The matrices exhibited both commonalities, such as mutations of aromatic and charged residues being the most detrimental, and differences, such as Rosetta predicting mutations of serines to be better tolerated than either Amber or CHARMM. A comparison to nine previously published similarity matrices for protein sequences revealed that the new interaction matrices are more similar to one another than they are to any of the previous matrices. The created similarity matrices can be used in force field specific applications to help guide decisions regarding mutations in protein-protein binding interfaces.
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Affiliation(s)
- Sumaiya Islam
- Department of Chemical Engineering, Auburn University, Auburn, Alabama, United States of America
| | - Robert J. Pantazes
- Department of Chemical Engineering, Auburn University, Auburn, Alabama, United States of America
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19
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Hoffstedt M, Stein MO, Baumann K, Wätzig H. Experimentally Observed Conformational Changes in Antibodies Due to Binding and Paratope-epitope Asymmetries. J Pharm Sci 2023; 112:2404-2411. [PMID: 37295605 DOI: 10.1016/j.xphs.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 06/02/2023] [Accepted: 06/02/2023] [Indexed: 06/12/2023]
Abstract
Understanding binding related changes in antibody conformations is important for epitope prediction and antibody refinement. The increase of available data in the PDB allowed a more detailed investigation of the conformational landscape for free and bound antibodies. A dataset containing a total of 835 unique PDB entries of antibodies that were crystallized in complex with their antigen and in a free state was constructed. It was examined for binding related conformation changes. We present further evidence supporting the theory of a pre-existing-equilibrium in experimental data. Multiple sequence alignments did not show binding induced tendencies in the solvent accessibility of residues in any specific position. Evaluating the changes in solvent accessibility per residue revealed a certain binding induced increase for several amino acids. Antibody-antigen interaction statistics were established and quantify a significant directional asymmetry between many interacting antibody and antigen residue pairs, especially a richness in tyrosine in the antibody epitope compared to its paratope. This asymmetry could potentially facilitate an increase in the success rate of computationally guided antibody refinement.
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Affiliation(s)
- Marc Hoffstedt
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
| | - Matthias Oliver Stein
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
| | - Knut Baumann
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
| | - Hermann Wätzig
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
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20
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Sanders C, Dzelamonyuy A, Ntemafack A, Alatoom N, Nchinda G, Georgiadis M, Waffo AB. Mapping immunological and host receptor binding determinants of SARS-CoV spike protein utilizing the Qubevirus platform. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.27.550841. [PMID: 37546816 PMCID: PMC10402108 DOI: 10.1101/2023.07.27.550841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The motifs involved in tropism and immunological interactions of SARS-CoV spike (S) protein were investigated utilizing the Qubevirus platform. We showed that separately, 14 overlapping peptide fragments representing the S protein (F1-14 of 100 residues each) could be inserted into the C-terminus of A1 on recombinant Qubevirus without affecting its viability. Additionally, recombinant phage expression resulted in the surface exposure of different engineered fragments in an accessible manner. The F6 from S 425-525 , was found to contain the binding determinant of the recombinant human angiotensin converting enzyme 2 (rhACE2), with the shortest active binding motif situated between residues S 437-492 . Upstream, another fragment, F7, containing an overlapping portion of F6 would not bind to rhACE2, confirming not just only that residues were linear but equally also the appropriate structural orientation of F6 upon the Qubevirus. The F6 (S 441-460 ) and other inserts, including F7/F8 (S 601-620 ) and F10 (S 781-800 ), were demonstrated to contain important immunological determinants through recognition and binding of S protein specific (anti-S) antibodies. An engineered chimeric insert bearing the fusion of all three anti-S reactive epitopes, improved substantially the recognition and binding to their cognate antibodies. These results provide insights into humoral immune relevant epitopes and tropism characteristics of the S protein with implications for the development of subunit vaccines or other biologics against SARS-CoV. Significance Mapping epitopes within the receptor binding domains of viruses which are essential for viral tropism is critical for developing antiviral agents and subunit vaccines. In this study we have engineered the surface of Qubevirus to display a peptide library derived from the SARS-CoV S protein. In biopanning with S protein antibodies, we have identified three peptide fragments (EP1, EP2 and EP3) which reacted selectively with antibodies specific to the S protein. We demonstrated that all recombinant phage displayed peptide fragments both individually and as chimera exposed important immunological epitopes to their cognate antibodies. A peptide fragment F6 situated at S 425-525 , was found containing the binding determinant of the recombinant human angiotensin converting enzyme 2 (rhACE2), with the shortest active binding motif situated between residues S 437-492 . The platform is rapidly to identify epitopes and receptor binding sites within viral receptors found in target host cell. Thus, this platform holds great significance.
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21
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Giron CC, Laaksonen A, Barroso da Silva FL. Differences between Omicron SARS-CoV-2 RBD and other variants in their ability to interact with cell receptors and monoclonal antibodies. J Biomol Struct Dyn 2023; 41:5707-5727. [PMID: 35815535 DOI: 10.1080/07391102.2022.2095305] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/23/2022] [Indexed: 12/23/2022]
Abstract
SARS-CoV-2 remains a health threat with the continuous emergence of new variants. This work aims to expand the knowledge about the SARS-CoV-2 receptor-binding domain (RBD) interactions with cell receptors and monoclonal antibodies (mAbs). By using constant-pH Monte Carlo simulations, the free energy of interactions between the RBD from different variants and several partners (Angiotensin-Converting Enzyme-2 (ACE2) polymorphisms and various mAbs) were predicted. Computed RBD-ACE2-binding affinities were higher for two ACE2 polymorphisms (rs142984500 and rs4646116) typically found in Europeans which indicates a genetic susceptibility. This is amplified for Omicron (BA.1) and its sublineages BA.2 and BA.3. The antibody landscape was computationally investigated with the largest set of mAbs so far in the literature. From the 32 studied binders, groups of mAbs were identified from weak to strong binding affinities (e.g. S2K146). These mAbs with strong binding capacity and especially their combination are amenable to experimentation and clinical trials because of their high predicted binding affinities and possible neutralization potential for current known virus mutations and a universal coronavirus.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Carolina Corrêa Giron
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
- Universidade Federal do Triângulo Mineiro, Hospital de Clínicas, Uberaba, MG, Brazil
| | - Aatto Laaksonen
- Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, Stockholm, Sweden
- State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, PR China
- Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Iasi, Romania
- Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, Luleå, Sweden
- Department of Chemical and Geological Sciences, University of Cagliari, Monserrato, Italy
| | - Fernando Luís Barroso da Silva
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
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22
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Fili M, Hu G, Han C, Kort A, Trettin J, Haim H. A classification algorithm based on dynamic ensemble selection to predict mutational patterns of the envelope protein in HIV-infected patients. Algorithms Mol Biol 2023; 18:4. [PMID: 37337202 DOI: 10.1186/s13015-023-00228-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 06/04/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Therapeutics against the envelope (Env) proteins of human immunodeficiency virus type 1 (HIV-1) effectively reduce viral loads in patients. However, due to mutations, new therapy-resistant Env variants frequently emerge. The sites of mutations on Env that appear in each patient are considered random and unpredictable. Here we developed an algorithm to estimate for each patient the mutational state of each position based on the mutational state of adjacent positions on the three-dimensional structure of the protein. METHODS We developed a dynamic ensemble selection algorithm designated k-best classifiers. It identifies the best classifiers within the neighborhood of a new observation and applies them to predict the variability state of each observation. To evaluate the algorithm, we applied amino acid sequences of Envs from 300 HIV-1-infected individuals (at least six sequences per patient). For each patient, amino acid variability values at all Env positions were mapped onto the three-dimensional structure of the protein. Then, the variability state of each position was estimated by the variability at adjacent positions of the protein. RESULTS The proposed algorithm showed higher performance than the base learner and a panel of classification algorithms. The mutational state of positions in the high-mannose patch and CD4-binding site of Env, which are targeted by multiple therapeutics, was predicted well. Importantly, the algorithm outperformed other classification techniques for predicting the variability state at multi-position footprints of therapeutics on Env. CONCLUSIONS The proposed algorithm applies a dynamic classifier-scoring approach that increases its performance relative to other classification methods. Better understanding of the spatiotemporal patterns of variability across Env may lead to new treatment strategies that are tailored to the unique mutational patterns of each patient. More generally, we propose the algorithm as a new high-performance dynamic ensemble selection technique.
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Affiliation(s)
- Mohammad Fili
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, 3014 Black Engineering, 2529 Union Drive, Ames, IA, 50011, USA
| | - Guiping Hu
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, 3014 Black Engineering, 2529 Union Drive, Ames, IA, 50011, USA.
| | - Changze Han
- Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, 51 Newton Rd, 3-770 BSB, Iowa City, IA, 52242, USA
| | - Alexa Kort
- Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, 51 Newton Rd, 3-770 BSB, Iowa City, IA, 52242, USA
| | - John Trettin
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, 3014 Black Engineering, 2529 Union Drive, Ames, IA, 50011, USA
| | - Hillel Haim
- Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, 51 Newton Rd, 3-770 BSB, Iowa City, IA, 52242, USA.
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23
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Jethva PN, Gross ML. Hydrogen Deuterium Exchange and other Mass Spectrometry-based Approaches for Epitope Mapping. FRONTIERS IN ANALYTICAL SCIENCE 2023; 3:1118749. [PMID: 37746528 PMCID: PMC10512744 DOI: 10.3389/frans.2023.1118749] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Antigen-antibody interactions are a fundamental subset of protein-protein interactions responsible for the "survival of the fittest". Determining the interacting interface of the antigen, called an epitope, and that on the antibody, called a paratope, is crucial to antibody development. Because each antigen presents multiple epitopes (unique footprints), sophisticated approaches are required to determine the target region for a given antibody. Although X-ray crystallography, Cryo-EM, and nuclear magnetic resonance can provide atomic details of an epitope, they are often laborious, poor in throughput, and insensitive. Mass spectrometry-based approaches offer rapid turnaround, intermediate structural resolution, and virtually no size limit for the antigen, making them a vital approach for epitope mapping. In this review, we describe in detail the principles of hydrogen deuterium exchange mass spectrometry in application to epitope mapping. We also show that a combination of MS-based approaches can assist or complement epitope mapping and push the limit of structural resolution to the residue level. We describe in detail the MS methods used in epitope mapping, provide our perspective about the approaches, and focus on elucidating the role that HDX-MS is playing now and in the future by organizing a discussion centered around several improvements in prototype instrument/applications used for epitope mapping. At the end, we provide a tabular summary of the current literature on HDX-MS-based epitope mapping.
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Affiliation(s)
- Prashant N. Jethva
- Department of Chemistry, Washington University in St. Louis, St Louis, MO 63130, USA
| | - Michael L. Gross
- Department of Chemistry, Washington University in St. Louis, St Louis, MO 63130, USA
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24
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Gainza P, Wehrle S, Van Hall-Beauvais A, Marchand A, Scheck A, Harteveld Z, Buckley S, Ni D, Tan S, Sverrisson F, Goverde C, Turelli P, Raclot C, Teslenko A, Pacesa M, Rosset S, Georgeon S, Marsden J, Petruzzella A, Liu K, Xu Z, Chai Y, Han P, Gao GF, Oricchio E, Fierz B, Trono D, Stahlberg H, Bronstein M, Correia BE. De novo design of protein interactions with learned surface fingerprints. Nature 2023; 617:176-184. [PMID: 37100904 PMCID: PMC10131520 DOI: 10.1038/s41586-023-05993-x] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 03/21/2023] [Indexed: 04/28/2023]
Abstract
Physical interactions between proteins are essential for most biological processes governing life1. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This knowledge gap has been a major obstacle for the comprehensive understanding of cellular protein-protein interaction networks and for the de novo design of protein binders that are crucial for synthetic biology and translational applications2-9. Here we use a geometric deep-learning framework operating on protein surfaces that generates fingerprints to describe geometric and chemical features that are critical to drive protein-protein interactions10. We hypothesized that these fingerprints capture the key aspects of molecular recognition that represent a new paradigm in the computational design of novel protein interactions. As a proof of principle, we computationally designed several de novo protein binders to engage four protein targets: SARS-CoV-2 spike, PD-1, PD-L1 and CTLA-4. Several designs were experimentally optimized, whereas others were generated purely in silico, reaching nanomolar affinity with structural and mutational characterization showing highly accurate predictions. Overall, our surface-centric approach captures the physical and chemical determinants of molecular recognition, enabling an approach for the de novo design of protein interactions and, more broadly, of artificial proteins with function.
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Affiliation(s)
- Pablo Gainza
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Monte Rosa Therapeutics, Basel, Switzerland
| | - Sarah Wehrle
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Alexandra Van Hall-Beauvais
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Anthony Marchand
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Andreas Scheck
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Zander Harteveld
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stephen Buckley
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Dongchun Ni
- Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Freyr Sverrisson
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Casper Goverde
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Priscilla Turelli
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Charlène Raclot
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexandra Teslenko
- Laboratory of Biophysical Chemistry of Macromolecules, School of Basic Sciences, Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Martin Pacesa
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stéphane Rosset
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sandrine Georgeon
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jane Marsden
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Aaron Petruzzella
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yan Chai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Elisa Oricchio
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Beat Fierz
- Laboratory of Biophysical Chemistry of Macromolecules, School of Basic Sciences, Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Didier Trono
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Henning Stahlberg
- Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | | | - Bruno E Correia
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
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25
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Killian JT, King RG, Kizziah JL, Fucile CF, Diaz-Avalos R, Qiu S, Silva-Sanchez A, Mousseau BJ, Macon KJ, Callahan AR, Yang G, Hossain ME, Akther J, Houp JA, Rosenblum FD, Porrett PM, Ong SC, Kumar V, Mobley JA, Saphire EO, Kearney JF, Randall TD, Rosenberg AF, Green TJ, Lund FE. Alloreactivity and autoreactivity converge to support B cell epitope targeting in transplant rejection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.31.534734. [PMID: 37034637 PMCID: PMC10081326 DOI: 10.1101/2023.03.31.534734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Antibody (Ab) responses against human leukocyte antigen (HLA) proteins mismatched between donor and recipient are leading cause of allograft loss in kidney transplantation. However, therapies targeting alloreactive B cell and Ab-secreting cell (ASC) are lacking, motivating the need to understand how to prevent and abrogate these alloresponses. Using molecular, structural, and proteomic techniques, we profiled the B cell response in a kidney transplant recipient with antibody-mediated rejection and graft loss. We found that this response spanned the rejected organ and peripheral blood, stimulated the differentiation of multiple B cell subsets, and produced a high-affinity, donor-specific, anti-HLA response. We found epitopic immunodominance that relied on highly exposed, solvent-accessible mismatched HLA residues as well as structural and biomolecular evidence of autoreactivity against the recipient's self-HLA allele. These alloreactive and autoreactive signatures converged in the recipient's circulating donor-specific Ab repertoire, suggesting that rejection requires both the recognition of non-self and breaches of tolerance to lead to alloinjury and graft loss.
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26
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Rouet R, Henry JY, Johansen MD, Sobti M, Balachandran H, Langley DB, Walker GJ, Lenthall H, Jackson J, Ubiparipovic S, Mazigi O, Schofield P, Burnett DL, Brown SHJ, Martinello M, Hudson B, Gilroy N, Post JJ, Kelleher A, Jäck HM, Goodnow CC, Turville SG, Rawlinson WD, Bull RA, Stewart AG, Hansbro PM, Christ D. Broadly neutralizing SARS-CoV-2 antibodies through epitope-based selection from convalescent patients. Nat Commun 2023; 14:687. [PMID: 36755042 PMCID: PMC9907207 DOI: 10.1038/s41467-023-36295-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 01/25/2023] [Indexed: 02/10/2023] Open
Abstract
Emerging variants of concern (VOCs) are threatening to limit the effectiveness of SARS-CoV-2 monoclonal antibodies and vaccines currently used in clinical practice; broadly neutralizing antibodies and strategies for their identification are therefore urgently required. Here we demonstrate that broadly neutralizing antibodies can be isolated from peripheral blood mononuclear cells of convalescent patients using SARS-CoV-2 receptor binding domains carrying epitope-specific mutations. This is exemplified by two human antibodies, GAR05, binding to epitope class 1, and GAR12, binding to a new epitope class 6 (located between class 3 and 5). Both antibodies broadly neutralize VOCs, exceeding the potency of the clinical monoclonal sotrovimab (S309) by orders of magnitude. They also provide prophylactic and therapeutic in vivo protection of female hACE2 mice against viral challenge. Our results indicate that exposure to SARS-CoV-2 induces antibodies that maintain broad neutralization against emerging VOCs using two unique strategies: either by targeting the divergent class 1 epitope in a manner resistant to VOCs (ACE2 mimicry, as illustrated by GAR05 and mAbs P2C-1F11/S2K14); or alternatively, by targeting rare and highly conserved epitopes, such as the new class 6 epitope identified here (as illustrated by GAR12). Our results provide guidance for next generation monoclonal antibody development and vaccine design.
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Affiliation(s)
- Romain Rouet
- Garvan Institute of Medical Research, Sydney, NSW, Australia. .,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia.
| | - Jake Y Henry
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Matt D Johansen
- Center for Inflammation, Centenary Institute and University of Technology Sydney, Sydney, NSW, Australia
| | - Meghna Sobti
- UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia.,Victor Chang Cardiac Research Institute, Sydney, NSW, Australia
| | - Harikrishnan Balachandran
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | - David B Langley
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Gregory J Walker
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Kirby Institute, UNSW Sydney, Sydney, NSW, Australia.,Prince of Wales Hospital, Sydney, NSW, Australia
| | - Helen Lenthall
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Jennifer Jackson
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Stephanie Ubiparipovic
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Ohan Mazigi
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Peter Schofield
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Deborah L Burnett
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Simon H J Brown
- Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Marianne Martinello
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | | | | | | | - Anthony Kelleher
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | - Hans-Martin Jäck
- Division of Molecular Immunology, Friedrich-Alexander University Erlangen-Nürnberg and University Hospital Erlangen, Erlangen-Nürnberg, Germany
| | - Christopher C Goodnow
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia
| | - Stuart G Turville
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | - William D Rawlinson
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Prince of Wales Hospital, Sydney, NSW, Australia
| | - Rowena A Bull
- UNSW Sydney, School of Medical Sciences, Faculty of Medicine, Sydney, NSW, Australia.,Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | - Alastair G Stewart
- UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia.,Victor Chang Cardiac Research Institute, Sydney, NSW, Australia
| | | | - Daniel Christ
- Garvan Institute of Medical Research, Sydney, NSW, Australia. .,UNSW Sydney, St Vincent's Clinical School, Faculty of Medicine, Sydney, NSW, Australia.
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27
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Wu D, Feagin T, Mage P, Rangel A, Wan L, Kong D, Li A, Coller J, Eisenstein M, Soh H. Flow-Cell-Based Technology for Massively Parallel Characterization of Base-Modified DNA Aptamers. Anal Chem 2023; 95:2645-2652. [PMID: 36693249 DOI: 10.1021/acs.analchem.1c04777] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Aptamers incorporating chemically modified bases can achieve superior affinity and specificity compared to natural aptamers, but their characterization remains a labor-intensive, low-throughput task. Here, we describe the "non-natural aptamer array" (N2A2) system, in which a minimally modified Illumina MiSeq instrument is used for the high-throughput generation and characterization of large libraries of base-modified DNA aptamer candidates based on both target binding and specificity. We first demonstrate the capability to screen multiple different base modifications to identify the optimal chemistry for high-affinity target binding. We next use N2A2 to generate aptamers that can maintain excellent specificity even in complex samples, with equally strong target affinity in both buffer and diluted human serum. For both aptamers, affinity was formally calculated with gold-standard binding assays. Given that N2A2 requires only minor mechanical modifications to the MiSeq, we believe that N2A2 offers a broadly accessible tool for generating high-quality affinity reagents for diverse applications.
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Affiliation(s)
- Diana Wu
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Trevor Feagin
- Department of Radiology, Stanford University, Stanford, California 94305, United States
| | - Peter Mage
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Alexandra Rangel
- Department of Radiology, Stanford University, Stanford, California 94305, United States
| | - Leighton Wan
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Dehui Kong
- Department of Radiology, Stanford University, Stanford, California 94305, United States
| | - Anping Li
- Department of Radiology, Stanford University, Stanford, California 94305, United States
| | - John Coller
- Stanford Functional Genomics Facility, School of Medicine, Stanford University, Stanford, California 94305, United States
| | - Michael Eisenstein
- Department of Radiology, Stanford University, Stanford, California 94305, United States.,Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Hyongsok Soh
- Department of Radiology, Stanford University, Stanford, California 94305, United States.,Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
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28
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Antibody CDR amino acids underlying the functionality of antibody repertoires in recognizing diverse protein antigens. Sci Rep 2022; 12:12555. [PMID: 35869245 PMCID: PMC9307644 DOI: 10.1038/s41598-022-16841-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 07/18/2022] [Indexed: 11/21/2022] Open
Abstract
Antibodies recognize protein antigens with exquisite specificity in a complex aqueous environment, where interfacial waters are an integral part of the antibody–protein complex interfaces. In this work, we elucidate, with computational analyses, the principles governing the antibodies’ specificity and affinity towards their cognate protein antigens in the presence of explicit interfacial waters. Experimentally, in four model antibody–protein complexes, we compared the contributions of the interaction types in antibody–protein antigen complex interfaces with the antibody variants selected from phage-displayed synthetic antibody libraries. Evidently, the specific interactions involving a subset of aromatic CDR (complementarity determining region) residues largely form the predominant determinant underlying the specificity of the antibody–protein complexes in nature. The interfacial direct/water-mediated hydrogen bonds accompanying the CDR aromatic interactions are optimized locally but contribute little in determining the epitope location. The results provide insights into the phenomenon that natural antibodies with limited sequence and structural variations in an antibody repertoire can recognize seemingly unlimited protein antigens. Our work suggests guidelines in designing functional artificial antibody repertoires with practical applications in developing novel antibody-based therapeutics and diagnostics for treating and preventing human diseases.
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29
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Using Alphafold2 to Predict the Structure of the Gp5/M Dimer of Porcine Respiratory and Reproductive Syndrome Virus. Int J Mol Sci 2022; 23:ijms232113209. [DOI: 10.3390/ijms232113209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022] Open
Abstract
Porcine reproductive and respiratory syndrome virus is a positive-stranded RNA virus of the family Arteriviridae. The Gp5/M dimer, the major component of the viral envelope, is required for virus budding and is an antibody target. We used alphafold2, an artificial-intelligence-based system, to predict a credible structure of Gp5/M. The short disulfide-linked ectodomains lie flat on the membrane, with the exception of the erected N-terminal helix of Gp5, which contains the antibody epitopes and a hypervariable region with a changing number of carbohydrates. The core of the dimer consists of six curved and tilted transmembrane helices, and three are from each protein. The third transmembrane regions extend into the cytoplasm as amphiphilic helices containing the acylation sites. The endodomains of Gp5 and M are composed of seven β-strands from each protein, which interact via β-strand seven. The area under the membrane forms an open cavity with a positive surface charge. The M and Orf3a proteins of coronaviruses have a similar structure, suggesting that all four proteins are derived from the same ancestral gene. Orf3a, like Gp5/M, is acylated at membrane-proximal cysteines. The role of Gp5/M during virus replication is discussed, in particular the mechanisms of virus budding and models of antibody-dependent virus neutralization.
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30
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Aguilar MF, Garay AS, Attallah C, Rodrigues DE, Oggero M. Changes in antibody binding and functionality after humanizing a murine scFv anti-IFN-α2: From in silico studies to experimental analysis. Mol Immunol 2022; 151:193-203. [PMID: 36166900 DOI: 10.1016/j.molimm.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 08/21/2022] [Accepted: 09/11/2022] [Indexed: 11/26/2022]
Abstract
The structural and dynamic changes introduced during antibody humanization continue to be a topic open to new contributions. For this reason, the study of structural and functional changes of a murine scFv (mu.scFv) anti-rhIFN-α2b after humanization was carried out. As it was shown by long molecular dynamics simulations and circular dichroism analysis, changes in primary sequence affected the tertiary structure of the humanized scFv (hz.scFv): the position of the variable domain of light chain (VL) respective to the variable domain of heavy chain (VH) in each scFv molecule was different. This change mainly impacted on conformation and dynamics of the complementarity-determining region 3 of VH (CDR-H3) which led to changes in the specificity and affinity of humanized scFv (hz.scFv). These observations agree with experimental results that showed a decrease in the antigen-binding strength of hz.scFv, and different capacities of these molecules to neutralize the in vitro rhIFN-α2b biological activity. Besides, experimental studies to characterize antigen-antibody binding showed that mu.scFv and hz.scFv bind to the same antigen area and recognize a conformational epitope, which is evidence of docking results. Finally, the differences between these molecules to neutralize the in vitro rhIFN-α2b biological activity were described as a consequence of the blockade of certain functionally relevant amino acids of the cytokine, after scFv binding. All these observations confirmed that humanization affected the affinity and specificity of hz.scFv and pointed out that two specific changes in the frameworks would be responsible.
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Affiliation(s)
- María Fernanda Aguilar
- UNL, CONICET, FBCB, Centro Biotecnológico del Litoral, Santa Fe, Pcia. Santa Fe S3000ZAA, Argentina
| | - A Sergio Garay
- UNL, FBCB, Departamento de Física, Ciudad Universitaria UNL, Pje. "El Pozo" - C.C. 242, S3000ZAA Santa Fe, Argentina.
| | - Carolina Attallah
- UNL, CONICET, FBCB, Centro Biotecnológico del Litoral, Santa Fe, Pcia. Santa Fe S3000ZAA, Argentina
| | - Daniel E Rodrigues
- UNL, FBCB, Departamento de Física, Ciudad Universitaria UNL, Pje. "El Pozo" - C.C. 242, S3000ZAA Santa Fe, Argentina; INTEC, CONICET-UNL, Predio CONICET Santa Fe, Pje. "El Pozo", S3000 Santa Fe, Argentina
| | - Marcos Oggero
- UNL, CONICET, FBCB, Centro Biotecnológico del Litoral, Santa Fe, Pcia. Santa Fe S3000ZAA, Argentina.
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31
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Barroso da Silva FL, Giron CC, Laaksonen A. Electrostatic Features for the Receptor Binding Domain of SARS-COV-2 Wildtype and Its Variants. Compass to the Severity of the Future Variants with the Charge-Rule. J Phys Chem B 2022; 126:6835-6852. [PMID: 36066414 DOI: 10.1021/acs.jpcb.2c04225] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Electrostatic intermolecular interactions are important in many aspects of biology. We have studied the main electrostatic features involved in the interaction of the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein with the human receptor Angiotensin-converting enzyme 2 (ACE2). As the principal computational tool, we have used the FORTE approach, capable to model proton fluctuations and computing free energies for a very large number of protein-protein systems under different physical-chemical conditions, here focusing on the RBD-ACE2 interactions. Both the wild-type and all critical variants are included in this study. From our large ensemble of extensive simulations, we obtain, as a function of pH, the binding affinities, charges of the proteins, their charge regulation capacities, and their dipole moments. In addition, we have calculated the pKas for all ionizable residues and mapped the electrostatic coupling between them. We are able to present a simple predictor for the RBD-ACE2 binding based on the data obtained for Alpha, Beta, Gamma, Delta, and Omicron variants, as a linear correlation between the total charge of the RBD and the corresponding binding affinity. This "RBD charge rule" should work as a quick test of the degree of severity of the coming SARS-CoV-2 variants in the future.
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Affiliation(s)
- Fernando L Barroso da Silva
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. café, s/no-campus da USP, BR-14040-903 Ribeirão Preto, SP, Brazil.,Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Carolina Corrêa Giron
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. café, s/no-campus da USP, BR-14040-903 Ribeirão Preto, SP, Brazil.,Hospital de Clínicas, Universidade Federal do Triângulo Mineiro, Av. Getúlio Guaritá, 38025-440 Uberaba, MG, Brazil
| | - Aatto Laaksonen
- Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden.,State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, 210009, P. R. China.,Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Aleea Grigore Ghica-Voda, 41A, 700487 Iasi, Romania.,Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, SE-97187 Luleå, Sweden.,Department of Chemical and Geological Sciences, Campus Monserrato, University of Cagliari, SS 554 bivio per Sestu, 09042 Monserrato, Italy
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32
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Chouhan P, Singh S, Sharma V, Prajapati VK. Anti-IL-10 Antibody Humanization by SDR Grafting with Enhanced Affinity to Neutralize the Adverse Response of Interleukin-10. Int J Pept Res Ther 2022. [DOI: 10.1007/s10989-022-10456-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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33
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Seow J, Khan H, Rosa A, Calvaresi V, Graham C, Pickering S, Pye VE, Cronin NB, Huettner I, Malim MH, Politis A, Cherepanov P, Doores KJ. A neutralizing epitope on the SD1 domain of SARS-CoV-2 spike targeted following infection and vaccination. Cell Rep 2022; 40:111276. [PMID: 35981534 PMCID: PMC9365860 DOI: 10.1016/j.celrep.2022.111276] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/25/2022] [Accepted: 08/05/2022] [Indexed: 02/06/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike is the target for neutralizing antibodies elicited following both infection and vaccination. While extensive research has shown that the receptor binding domain (RBD) and, to a lesser extent, the N-terminal domain (NTD) are the predominant targets for neutralizing antibodies, identification of neutralizing epitopes beyond these regions is important for informing vaccine development and understanding antibody-mediated immune escape. Here, we identify a class of broadly neutralizing antibodies that bind an epitope on the spike subdomain 1 (SD1) and that have arisen from infection or vaccination. Using cryo-electron microscopy (cryo-EM) and hydrogen-deuterium exchange coupled to mass spectrometry (HDX-MS), we show that SD1-specific antibody P008_60 binds an epitope that is not accessible within the canonical prefusion states of the SARS-CoV-2 spike, suggesting a transient conformation of the viral glycoprotein that is vulnerable to neutralization.
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Affiliation(s)
- Jeffrey Seow
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Hataf Khan
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Annachiara Rosa
- Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
| | | | - Carl Graham
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Suzanne Pickering
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Valerie E Pye
- Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
| | - Nora B Cronin
- LonCEM Facility, The Francis Crick Institute, London, UK
| | - Isabella Huettner
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Michael H Malim
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK
| | | | - Peter Cherepanov
- Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK; Department of Infectious Disease, St-Mary's Campus, Imperial College London, London, UK.
| | - Katie J Doores
- Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
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34
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The Correlation between Subolesin-Reactive Epitopes and Vaccine Efficacy. Vaccines (Basel) 2022; 10:vaccines10081327. [PMID: 36016215 PMCID: PMC9414912 DOI: 10.3390/vaccines10081327] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/10/2022] [Accepted: 08/14/2022] [Indexed: 11/16/2022] Open
Abstract
Vaccination is an environmentally-friendly alternative for tick control. The tick antigen Subolesin (SUB) has shown protection in vaccines for the control of multiple tick species in cattle. Additionally, recent approaches in quantum vaccinomics have predicted SUB-protective epitopes and the peptide sequences involved in protein−protein interactions in this tick antigen. Therefore, the identification of B-cell−reactive epitopes by epitope mapping using a SUB peptide array could be essential as a novel strategy for vaccine development. Subolesin can be used as a model to evaluate the effectiveness of these approaches for the identification of protective epitopes related to vaccine protection and efficacy. In this study, the mapping of B-cell linear epitopes of SUB from three different tick species common in Uganda (Rhipicephalus appendiculatus, R. decoloratus, and Amblyomma variegatum) was conducted using serum samples from two cattle breeds immunized with SUB-based vaccines. The results showed that in cattle immunized with SUB from R. appendiculatus (SUBra) all the reactive peptides (Z-score > 2) recognized by IgG were also significant (Z-ratio > 1.96) when compared to the control group. Additionally, some of the reactive peptides recognized by IgG from the control group were also recognized in SUB cocktail−immunized groups. As a significant result, cattle groups that showed the highest vaccine efficacy were Bos indicus immunized with a SUB cocktail (92%), and crossbred cattle were immunized with SUBra (90%) against R. appendiculatus ticks; the IgG from these groups recognized overlapping epitopes from the peptide SPTGLSPGLSPVRDQPLFTFRQVGLICERMMKERESQIRDEYDHVLSAKLAEQYDTFVKFTYDQKRFEGATPSYLS (Z-ratio > 1.96), which partially corresponded to a Q38 peptide and the SUB protein interaction domain. These identified epitopes could be related to the protection and efficacy of the SUB-based vaccines, and new chimeras containing these protective epitopes could be designed using this new approach.
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35
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Reis PBPS, Barletta GP, Gagliardi L, Fortuna S, Soler MA, Rocchia W. Antibody-Antigen Binding Interface Analysis in the Big Data Era. Front Mol Biosci 2022; 9:945808. [PMID: 35911958 PMCID: PMC9329859 DOI: 10.3389/fmolb.2022.945808] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/24/2022] [Indexed: 11/22/2022] Open
Abstract
Antibodies have become the Swiss Army tool for molecular biology and nanotechnology. Their outstanding ability to specifically recognise molecular antigens allows their use in many different applications from medicine to the industry. Moreover, the improvement of conventional structural biology techniques (e.g., X-ray, NMR) as well as the emergence of new ones (e.g., Cryo-EM), have permitted in the last years a notable increase of resolved antibody-antigen structures. This offers a unique opportunity to perform an exhaustive structural analysis of antibody-antigen interfaces by employing the large amount of data available nowadays. To leverage this factor, different geometric as well as chemical descriptors were evaluated to perform a comprehensive characterization.
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Affiliation(s)
- Pedro B. P. S. Reis
- CONCEPT Lab, Istituto Italiano di Teconologia, Genova, Italy
- Bioisi, University of Lisbon, Lisbon, Portugal
| | - German P. Barletta
- CONCEPT Lab, Istituto Italiano di Teconologia, Genova, Italy
- Universidad Nacional de Quilmes/CONICET, Quilmes, Argentina
- The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
| | - Luca Gagliardi
- CONCEPT Lab, Istituto Italiano di Teconologia, Genova, Italy
| | - Sara Fortuna
- CONCEPT Lab, Istituto Italiano di Teconologia, Genova, Italy
| | - Miguel A. Soler
- CONCEPT Lab, Istituto Italiano di Teconologia, Genova, Italy
- Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universita’ di Udine, Udine, Italy
- *Correspondence: Miguel A. Soler, ; Walter Rocchia,
| | - Walter Rocchia
- CONCEPT Lab, Istituto Italiano di Teconologia, Genova, Italy
- *Correspondence: Miguel A. Soler, ; Walter Rocchia,
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36
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Wang P, Sun LL, Clark R, Hristopoulos M, Chiu CP, Dillon M, Lin W, Lo AA, Chalsani S, Das Thakur M, Zimmerman Savill KM, Rougé L, Lupardus P, Piskol R, Husain B, Ellerman D, Shivva V, Leong SR, Ovacik M, Totpal K, Wu Y, Spiess C, Lee G, Leipold DD, Polson AG. Novel Anti-LY6G6D/CD3 T-Cell-Dependent Bispecific Antibody for the Treatment of Colorectal Cancer. Mol Cancer Ther 2022; 21:974-985. [PMID: 35364611 PMCID: PMC9381132 DOI: 10.1158/1535-7163.mct-21-0599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 12/21/2021] [Accepted: 03/21/2022] [Indexed: 01/07/2023]
Abstract
New therapeutics and combination regimens have led to marked clinical improvements for the treatment of a subset of colorectal cancer. Immune checkpoint inhibitors have shown clinical efficacy in patients with mismatch-repair-deficient or microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC). However, patients with microsatellite-stable (MSS) or low levels of microsatellite instable (MSI-L) colorectal cancer have not benefited from these immune modulators, and the survival outcome remains poor for the majority of patients diagnosed with mCRC. In this article, we describe the discovery of a novel T-cell-dependent bispecific antibody (TDB) targeting tumor-associated antigen LY6G6D, LY6G6D-TDB, for the treatment of colorectal cancer. RNAseq analysis showed that LY6G6D was differentially expressed in colorectal cancer with high prevalence in MSS and MSI-L subsets, whereas LY6G6D expression in normal tissues was limited. IHC confirmed the elevated expression of LY6G6D in primary and metastatic colorectal tumors, whereas minimal or no expression was observed in most normal tissue samples. The optimized LY6G6D-TDB, which targets a membrane-proximal epitope of LY6G6D and binds to CD3 with high affinity, exhibits potent antitumor activity both in vitro and in vivo. In vitro functional assays show that LY6G6D-TDB-mediated T-cell activation and cytotoxicity are conditional and target dependent. In mouse xenograft tumor models, LY6G6D-TDB demonstrates antitumor efficacy as a single agent against established colorectal tumors, and enhanced efficacy can be achieved when LY6G6D-TDB is combined with PD-1 blockade. Our studies provide evidence for the therapeutic potential of LY6G6D-TDB as an effective treatment option for patients with colorectal cancer.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Andrew G. Polson
- Corresponding Author: Andrew G. Polson, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080. Phone: 650-225-5134; Fax: 650-225-6240; E-mail:
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37
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Miyamoto A, Honjo T, Masui M, Kinoshita R, Kumon H, Kakimi K, Futami J. Engineering Cancer/Testis Antigens With Reversible S-Cationization to Evaluate Antigen Spreading. Front Oncol 2022; 12:869393. [PMID: 35600379 PMCID: PMC9115381 DOI: 10.3389/fonc.2022.869393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 04/07/2022] [Indexed: 11/13/2022] Open
Abstract
Serum autoantibody to cancer/testis antigens (CTAs) is a critical biomarker that reflects the antitumor immune response. Quantitative and multiplexed anti-CTA detection arrays can assess the immune status in tumors and monitor therapy-induced antitumor immune reactions. Most full-length recombinant CTA proteins tend to aggregate. Cysteine residue-specific S-cationization techniques facilitate the preparation of water-soluble and full-length CTAs. Combined with Luminex technology, we designed a multiple S-cationized antigen-immobilized bead array (MUSCAT) assay system to evaluate multiple serum antibodies to CTAs. Reducible S-alkyl-disulfide-cationized antigens in cytosolic conditions were employed to develop rabbit polyclonal antibodies as positive controls. These control antibodies sensitively detected immobilized antigens on beads and endogenous antigens in human lung cancer-derived cell lines. Rabbit polyclonal antibodies successfully confirmed the dynamic ranges and quantitative MUSCAT assay results. An immune monitoring study was conducted using the serum samples on an adenovirus−mediated REIC/Dkk−3 gene therapy clinical trial that showed a successful clinical response in metastatic castration-resistant prostate cancer. Autoantibody responses were closely related to clinical outcomes. Notably, upregulation of anti-CTA responses was monitored before tumor regression. Thus, quantitative monitoring of anti-CTA antibody biomarkers can be used to evaluate the cancer-immunity cycle. A quality-certified serum autoantibody monitoring system is a powerful tool for developing and evaluating cancer immunotherapy.
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Affiliation(s)
- Ai Miyamoto
- Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
| | - Tomoko Honjo
- Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
| | - Mirei Masui
- Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
| | - Rie Kinoshita
- Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hiromi Kumon
- Innovation Center Okayama for Nanobio-targeted Therapy, Okayama University, Okayama, Japan.,Niimi University, Niimi, Japan
| | - Kazuhiro Kakimi
- Department of Immunotherapeutics, The University of Tokyo Hospital, Tokyo, Japan
| | - Junichiro Futami
- Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
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38
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Moyle AB, Cheng M, Wagner ND, Gross ML. Benzoyl Transfer for Footprinting Alcohol-Containing Residues in Higher Order Structural Applications of Mass-Spectrometry-Based Proteomics. Anal Chem 2022; 94:1520-1524. [PMID: 35019278 PMCID: PMC10483880 DOI: 10.1021/acs.analchem.1c04659] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Protein footprinting mass spectrometry (MS), an emerging approach to elucidate higher-order structure (HOS) and binding, benefits from the iterative development of reaction strategies to expand the covalent labeling toolbox. Herein, we introduce a footprinting reagent for nucleophiles and demonstrate its efficacy for differential covalent labeling MS analysis. Benzoyl fluoride (BF), although reactive with water, is more practical for modifying nucleophilic functional groups than other acid halides and serves as an acyl-transfer reagent for proteins. BF is 10 times more reactive with phenolic Tyr than the current generation nucleophile footprinter. BF modifies, in addition to Tyr, Lys, His, and the N-terminus, weak nucleophiles Ser and Thr, for which few footprinters exist, imparting broad applicability with a range of nucleophiles. We applied benzoylation to a model Ser- and Thr-rich protein-ligand binding system without perturbing the protein HOS. This efficacious footprinting method expands the toolbox of reagents and provides promise for future reaction strategies including possibly membrane proteins.
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Affiliation(s)
- Austin B. Moyle
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Ming Cheng
- Corresponding Authors Michael L. Gross - Department of Chemistry, Washington University in St. Louis, One Brookings Drive, Saint. Louis, MO, 63130 USA. ; Ming Cheng - Department of Chemistry, Washington University in St. Louis, One Brookings Drive, Saint. Louis, MO, 63130 USA.
| | - Nicole D. Wagner
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Michael L. Gross
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, 63130, USA
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39
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Maruyama K, Ishiyama T, Seki Y, Sakai K, Togo T, Oisaki K, Kanai M. Protein Modification at Tyrosine with Iminoxyl Radicals. J Am Chem Soc 2021; 143:19844-19855. [PMID: 34787412 DOI: 10.1021/jacs.1c09066] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Post-translational modifications (PTMs) of proteins are a biological mechanism for reversibly controlling protein function. Synthetic protein modifications (SPMs) at specific canonical amino acids can mimic PTMs. However, reversible SPMs at hydrophobic amino acid residues in proteins are especially limited. Here, we report a tyrosine (Tyr)-selective SPM utilizing persistent iminoxyl radicals, which are readily generated from sterically hindered oximes via single-electron oxidation. The reactivity of iminoxyl radicals with Tyr was dependent on the steric and electronic demands of oximes; isopropyl methyl piperidinium oxime 1f formed stable adducts, whereas the reaction of tert-butyl methyl piperidinium oxime 1o was reversible. The difference in reversibility between 1f and 1o, differentiated only by one methyl group, is due to the stability of iminoxyl radicals, which is partly dictated by the bond dissociation energy of oxime O-H groups. The Tyr-selective modifications with 1f and 1o proceeded under physiologically relevant, mild conditions. Specifically, the stable Tyr-modification with 1f introduced functional small molecules, including an azobenzene photoswitch, to proteins. Moreover, masking critical Tyr residues by SPM with 1o, and subsequent deconjugation triggered by the treatment with a thiol, enabled on-demand control of protein functions. We applied this reversible Tyr modification with 1o to alter an enzymatic activity and the binding affinity of a monoclonal antibody with an antigen upon modification/deconjugation. The on-demand ON/OFF switch of protein functions through Tyr-selective and reversible covalent-bond formation will provide unique opportunities in biological research and therapeutics.
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Affiliation(s)
- Katsuya Maruyama
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Takashi Ishiyama
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yohei Seki
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kentaro Sakai
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Takaya Togo
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kounosuke Oisaki
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Motomu Kanai
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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40
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McCloskey CM, Li Q, Yik EJ, Chim N, Ngor AK, Medina E, Grubisic I, Co Ting Keh L, Poplin R, Chaput JC. Evolution of Functionally Enhanced α-l-Threofuranosyl Nucleic Acid Aptamers. ACS Synth Biol 2021; 10:3190-3199. [PMID: 34739228 DOI: 10.1021/acssynbio.1c00481] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Synthetic genetic polymers (xeno-nucleic acids, XNAs) have the potential to transition aptamers from laboratory tools to therapeutic agents, but additional functionality is needed to compete with antibodies. Here, we describe the evolution of a biologically stable artificial genetic system composed of α-l-threofuranosyl nucleic acid (TNA) that facilitates the production of backbone- and base-modified aptamers termed "threomers" that function as high quality protein capture reagents. Threomers were discovered against two prototypical protein targets implicated in human diseases through a combination of in vitro selection and next-generation sequencing using uracil nucleotides that are uniformly equipped with aromatic side chains commonly found in the paratope of antibody-antigen crystal structures. Kinetic measurements reveal that the side chain modifications are critical for generating threomers with slow off-rate binding kinetics. These findings expand the chemical space of evolvable non-natural genetic systems to include functional groups that enhance protein target binding by mimicking the structural properties of traditional antibodies.
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Affiliation(s)
| | | | | | | | | | | | - Ivan Grubisic
- X, The Moonshot Factory, Mountain View, California 94043, United States
| | - Lance Co Ting Keh
- X, The Moonshot Factory, Mountain View, California 94043, United States
| | - Ryan Poplin
- X, The Moonshot Factory, Mountain View, California 94043, United States
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41
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Naniima P, Naimo E, Koch S, Curth U, Alkharsah KR, Ströh LJ, Binz A, Beneke JM, Vollmer B, Böning H, Borst EM, Desai P, Bohne J, Messerle M, Bauerfeind R, Legrand P, Sodeik B, Schulz TF, Krey T. Assembly of infectious Kaposi's sarcoma-associated herpesvirus progeny requires formation of a pORF19 pentamer. PLoS Biol 2021; 19:e3001423. [PMID: 34735435 PMCID: PMC8568140 DOI: 10.1371/journal.pbio.3001423] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 09/22/2021] [Indexed: 12/25/2022] Open
Abstract
Herpesviruses cause severe diseases particularly in immunocompromised patients. Both genome packaging and release from the capsid require a unique portal channel occupying one of the 12 capsid vertices. Here, we report the 2.6 Å crystal structure of the pentameric pORF19 of the γ-herpesvirus Kaposi’s sarcoma-associated herpesvirus (KSHV) resembling the portal cap that seals this portal channel. We also present the structure of its β-herpesviral ortholog, revealing a striking structural similarity to its α- and γ-herpesviral counterparts despite apparent differences in capsid association. We demonstrate pORF19 pentamer formation in solution and provide insights into how pentamerization is triggered in infected cells. Mutagenesis in its lateral interfaces blocked pORF19 pentamerization and severely affected KSHV capsid assembly and production of infectious progeny. Our results pave the way to better understand the role of pORF19 in capsid assembly and identify a potential novel drug target for the treatment of herpesvirus-induced diseases. In herpesviruses, genome packaging and release from the capsid require a unique portal channel. Here, the authors have resolved the crystal structure of a pentameric KSHV pORF19 assembly and find that it resembles the herpesviral portal cap and provides insights how the viral genome is retained within the capsid.
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Affiliation(s)
- Peter Naniima
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
| | - Eleonora Naimo
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
| | - Sandra Koch
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
| | - Ute Curth
- Institute for Biophysical Chemistry, Hannover Medical School, Hannover, Germany
| | - Khaled R. Alkharsah
- Department of Microbiology, College of Medicine, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi Arabia
| | - Luisa J. Ströh
- Institute of Virology, Hannover Medical School, Hannover, Germany
| | - Anne Binz
- Institute of Virology, Hannover Medical School, Hannover, Germany
- Excellence Cluster 2155 RESIST, Hannover Medical School, Hannover, Germany
| | - Jan-Marc Beneke
- Center of Structural and Cell Biology in Medicine, Institute of Biochemistry, University of Luebeck, Luebeck, Germany
| | - Benjamin Vollmer
- Centre for Structural Systems Biology, Leibniz-Institut für Experimentelle Virologie (HPI), Hamburg, Germany
| | - Heike Böning
- Institute of Virology, Hannover Medical School, Hannover, Germany
| | - Eva Maria Borst
- Institute of Virology, Hannover Medical School, Hannover, Germany
| | - Prashant Desai
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Jens Bohne
- Institute of Virology, Hannover Medical School, Hannover, Germany
| | - Martin Messerle
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
- Excellence Cluster 2155 RESIST, Hannover Medical School, Hannover, Germany
| | - Rudolf Bauerfeind
- Research Core Unit Laser Microscopy, Hannover Medical School, Hannover, Germany
| | - Pierre Legrand
- Synchrotron SOLEIL, L’Orme des Merisiers, Gif-sur-Yvette, France
| | - Beate Sodeik
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
- Excellence Cluster 2155 RESIST, Hannover Medical School, Hannover, Germany
| | - Thomas F. Schulz
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
- Excellence Cluster 2155 RESIST, Hannover Medical School, Hannover, Germany
| | - Thomas Krey
- Institute of Virology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
- Excellence Cluster 2155 RESIST, Hannover Medical School, Hannover, Germany
- Center of Structural and Cell Biology in Medicine, Institute of Biochemistry, University of Luebeck, Luebeck, Germany
- Centre for Structural Systems Biology (CSSB), Hamburg, Germany
- * E-mail:
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42
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Anumukonda K, Francis M, Currie P, Tulenko F, Hsu E. Heavy chain-only antibody genes in fish evolved to generate unique CDR3 repertoire. Eur J Immunol 2021; 52:247-260. [PMID: 34708869 DOI: 10.1002/eji.202149588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/08/2021] [Accepted: 10/26/2021] [Indexed: 11/11/2022]
Abstract
In addition to conventional immunoglobulin, camelids and cartilaginous fish express a special class of antibody that consists only of heavy (H) chain (HCAbs). In the holocephalan elephantfish, there are two HCAb classes, one of which has evolved surprising features. The H-chain genes in cartilaginous fish are organized as 20-200 minigenes, or clusters, each consisting of VH, 1-3 DH, JH gene segments with one set of constant region exons. We report that HHC2 (holocephalan H-chain antibody 2) evolved from IgM H-chain clusters, but its DH gene segments have diverged considerably. The three DH in HHC2 clusters are A-rich, so that one to three potential reading frames for each DH encode lysine and arginine. All three are incorporated into the rearranged VDJ, ensuring that the ligand-binding site carries multiple basic residues, as cDNA sequences demonstrate. The electropositive character in HHC2 CDR3 is accompanied by a paucity of aromatic amino acids, the latter feature at variance to the established, interactive role of tyrosine not only in ligand-binding but generally at interfaces of protein complexes. The selection for these divergent HHC2 features challenges currently accepted ideas on what determines antibody reactivity and molecular recognition.
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Affiliation(s)
- Kamala Anumukonda
- Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, 11203, USA
| | - Malcolm Francis
- National Institute of Water and Atmospheric Research, Wellington, New Zealand
| | - Peter Currie
- Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Frank Tulenko
- Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Ellen Hsu
- Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, 11203, USA
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43
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McKenzie-Coe A, Montes NS, Jones LM. Hydroxyl Radical Protein Footprinting: A Mass Spectrometry-Based Structural Method for Studying the Higher Order Structure of Proteins. Chem Rev 2021; 122:7532-7561. [PMID: 34633178 DOI: 10.1021/acs.chemrev.1c00432] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Hydroxyl radical protein footprinting (HRPF) coupled to mass spectrometry has been successfully used to investigate a plethora of protein-related questions. The method, which utilizes hydroxyl radicals to oxidatively modify solvent-accessible amino acids, can inform on protein interaction sites and regions of conformational change. Hydroxyl radical-based footprinting was originally developed to study nucleic acids, but coupling the method with mass spectrometry has enabled the study of proteins. The method has undergone several advancements since its inception that have increased its utility for more varied applications such as protein folding and the study of biotherapeutics. In addition, recent innovations have led to the study of increasingly complex systems including cell lysates and intact cells. Technological advances have also increased throughput and allowed for better control of experimental conditions. In this review, we provide a brief history of the field of HRPF and detail recent innovations and applications in the field.
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Affiliation(s)
- Alan McKenzie-Coe
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Nicholas S Montes
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Lisa M Jones
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
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44
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Weerasuriya DRK, Bhakta S, Hiniduma K, Dixit CK, Shen M, Tobin Z, He J, Suib SL, Rusling JF. Magnetic Nanoparticles with Surface Nanopockets for Highly Selective Antibody Isolation. ACS APPLIED BIO MATERIALS 2021; 4:6157-6166. [PMID: 35006880 DOI: 10.1021/acsabm.1c00502] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Monoclonal antibodies (mAbs) are key components of revolutionary disease immunotherapies and are also essential for medical diagnostics and imaging. The impact of cost is illustrated by a price >$200,000 per year per patient for mAb-based cancer therapy. Purification represents a major issue in the final cost of these immunotherapy drugs. Protein A (PrA) resins are widely used to purify antibodies, but resin cost, separation efficiency, reuse, and stability are major issues. This paper explores a synthesis strategy for low-cost, reusable, stable PrA-like nanopockets on core-shell silica-coated magnetic nanoparticles (NPs) for IgG antibody isolation. Mouse IgG2a, a strong PrA binder, was used as a template protein, first attaching it stem-down onto the NP surface. The stem-down orientation of IgG2a on the NP surface before polymerization is critical for designing the films to bind IgGs. Following this, 1-tetraethoxysilane and four organosilane monomers with functional groups capable of mimicking binding interactions of proteins with IgG antibody stems were reacted to form a thin polymer coating on the NPs. After blocking nonspecific binding sites, removal of the mouse IgG2a provided nanopockets on the core-shell NPs that showed binding characteristics for antibodies remarkably similar to PrA. Both smooth and rough core-shell NPs were used, with the latter providing much larger binding capacities for IgGs, with an excellent selectivity slightly better than that of commercial PrA magnetic beads. This paper is the first report of IgG-binding NPs that mimic PrA selectivity. These nanopocket NPs can be used for at least 15 regeneration cycles, and cost/use was 57-fold less than a high-quality commercial PrA resin.
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Affiliation(s)
- D Randil K Weerasuriya
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States
| | - Snehasis Bhakta
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States.,Cooch Behar College, Cooch Behar Panchanan Barma University, Cooch Behar, West Bengal 736101, India
| | - Keshani Hiniduma
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States
| | - Chandra K Dixit
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States.,Lumos Diagnostics, Sarasota, Florida 34240, United States
| | - Min Shen
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States
| | - Zachary Tobin
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States
| | - Junkai He
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States
| | - Steven L Suib
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States.,Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269-3136, United States
| | - James F Rusling
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269-3060, United States.,Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269-3136, United States.,Department of Surgery and Neag Cancer Center, Uconn Health, Farmington, Connecticut 06030, United States.,School of Chemistry, National University of Ireland at Galway, Galway H91 TK33, Ireland
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45
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Li L, Wang XH, Nanfack A, Kong XP, Gorny MK. The light chain of antibodies specific to the V2 region of HIV-1 can determine their function. Hum Immunol 2021; 82:923-929. [PMID: 34340867 DOI: 10.1016/j.humimm.2021.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 05/05/2021] [Accepted: 05/12/2021] [Indexed: 11/18/2022]
Abstract
We studied the contribution of the light chain to functions of human monoclonal antibodies (mAbs) by measuring the relationships between the rate of mutations and cross-reactivity, binding affinity and neutralization activity. We analyzed 12 mAbs of two clonal families specific to the V2 region of HIV-1 derived from two chronically HIV-1 infected individuals. The clonal mAbs exhibited a range of reactivities, and the clones with superior properties were associated with the rate of mutations and the presence of particular mutated residues in the light chains, but not in the heavy chains. Our observations suggest that for some antibodies, the light chains play a vital role in antibody evolution toward more efficient ones and also suggest the importance of optimal residues rather than the rate of mutations in the variable fragment of the antibody.
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Affiliation(s)
- Liuzhe Li
- Department of Pathology, New York University School of Medicine, New York, NY, USA; Veterans Affairs New York Harbor Healthcare System, New York, NY, USA.
| | - Xiao-Hong Wang
- Veterans Affairs New York Harbor Healthcare System, New York, NY, USA
| | - Aubin Nanfack
- Medical Diagnostic Center (MDC), Yaoundé, Cameroon; Chantal Biya International Reference Centre for Research on HIV/AIDS Prevention and Management, Yaoundé, Cameroon
| | - Xiang-Peng Kong
- Department of Biochemistry & Molecular Pharmacology, New York University School of Medicine, New York, NY, USA
| | - Miroslaw K Gorny
- Department of Pathology, New York University School of Medicine, New York, NY, USA.
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46
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Lucchi R, Bentanachs J, Oller-Salvia B. The Masking Game: Design of Activatable Antibodies and Mimetics for Selective Therapeutics and Cell Control. ACS CENTRAL SCIENCE 2021; 7:724-738. [PMID: 34079893 PMCID: PMC8161478 DOI: 10.1021/acscentsci.0c01448] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Indexed: 05/04/2023]
Abstract
The high selectivity and affinity of antibody binding have made antibodies all-pervasive tools in therapy, diagnosis, and basic science. A plethora of chemogenetic approaches has been devised to make antibodies responsive to stimuli ranging from light to enzymatic activity, temperature, pH, ions, and effector molecules. Within a single decade, the field of activatable antibodies has yielded marketed therapeutics capable of engaging antigens that could not be targeted with traditional antibodies, as well as new tools to control intracellular protein location and investigate biological processes. Many opportunities remain untapped, waiting for more efficient and generally applicable masking strategies to be developed at the interface between chemistry and biotechnology.
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Affiliation(s)
- Roberta Lucchi
- Grup d’Enginyeria
de Materials, Institut Químic de
Sarrià (IQS), Universitat Ramon Llull, 08017 Barcelona, Spain
| | - Jordi Bentanachs
- Grup d’Enginyeria
de Materials, Institut Químic de
Sarrià (IQS), Universitat Ramon Llull, 08017 Barcelona, Spain
| | - Benjamí Oller-Salvia
- Grup d’Enginyeria
de Materials, Institut Químic de
Sarrià (IQS), Universitat Ramon Llull, 08017 Barcelona, Spain
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47
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Therapeutic Antibodies Targeting Potassium Ion Channels. Handb Exp Pharmacol 2021; 267:507-545. [PMID: 33963460 DOI: 10.1007/164_2021_464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Monoclonal antibodies combine specificity and high affinity binding with excellent pharmacokinetic properties and are rapidly being developed for a wide range of drug targets including clinically important potassium ion channels. Nonetheless, while therapeutic antibodies come with great promise, K+ channels represent particularly difficult targets for biologics development for a variety of reasons that include their dynamic structures and relatively small extracellular loops, their high degree of sequence conservation (leading to immune tolerance), and their generally low-level expression in vivo. The process is made all the more difficult when large numbers of antibody candidates must be screened for a given target, or when lead candidates fail to cross-react with orthologous channels in animal disease models due to their highly selective binding properties. While the number of antibodies targeting potassium channels in preclinical or clinical development is still modest, significant advances in the areas of protein expression and antibody screening are converging to open the field to an avalanche of new drugs. Here, the opportunities and constraints associated with the discovery of antibodies against K+ channels are discussed, with an emphasis on novel technologies that are opening the field to exciting new possibilities for biologics development.
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48
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Agudelo M, Palus M, Keeffe JR, Bianchini F, Svoboda P, Salát J, Peace A, Gazumyan A, Cipolla M, Kapoor T, Guidetti F, Yao KH, Elsterová J, Teislerová D, Chrdle A, Hönig V, Oliveira T, West AP, Lee YE, Rice CM, MacDonald MR, Bjorkman PJ, Růžek D, Robbiani DF, Nussenzweig MC. Broad and potent neutralizing human antibodies to tick-borne flaviviruses protect mice from disease. J Exp Med 2021; 218:e20210236. [PMID: 33831141 PMCID: PMC8040517 DOI: 10.1084/jem.20210236] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/17/2021] [Accepted: 02/19/2021] [Indexed: 12/30/2022] Open
Abstract
Tick-borne encephalitis virus (TBEV) is an emerging human pathogen that causes potentially fatal disease with no specific treatment. Mouse monoclonal antibodies are protective against TBEV, but little is known about the human antibody response to infection. Here, we report on the human neutralizing antibody response to TBEV in a cohort of infected and vaccinated individuals. Expanded clones of memory B cells expressed closely related anti-envelope domain III (EDIII) antibodies in both groups of volunteers. However, the most potent neutralizing antibodies, with IC50s below 1 ng/ml, were found only in individuals who recovered from natural infection. These antibodies also neutralized other tick-borne flaviviruses, including Langat, louping ill, Omsk hemorrhagic fever, Kyasanur forest disease, and Powassan viruses. Structural analysis revealed a conserved epitope near the lateral ridge of EDIII adjoining the EDI-EDIII hinge region. Prophylactic or early therapeutic antibody administration was effective at low doses in mice that were lethally infected with TBEV.
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MESH Headings
- Amino Acid Sequence
- Animals
- Antibodies, Monoclonal/administration & dosage
- Antibodies, Monoclonal/genetics
- Antibodies, Monoclonal/immunology
- Antibodies, Neutralizing/administration & dosage
- Antibodies, Neutralizing/genetics
- Antibodies, Neutralizing/immunology
- Antibodies, Viral/administration & dosage
- Antibodies, Viral/genetics
- Antibodies, Viral/immunology
- Cells, Cultured
- Cohort Studies
- Cross Reactions/immunology
- Encephalitis Viruses, Tick-Borne/drug effects
- Encephalitis Viruses, Tick-Borne/immunology
- Encephalitis Viruses, Tick-Borne/physiology
- Encephalitis, Tick-Borne/immunology
- Encephalitis, Tick-Borne/prevention & control
- Encephalitis, Tick-Borne/virology
- Epitopes/immunology
- Female
- Humans
- Immunoglobulin G/administration & dosage
- Immunoglobulin G/immunology
- Mice, Inbred BALB C
- Sequence Homology, Amino Acid
- Survival Analysis
- Viral Envelope Proteins/genetics
- Viral Envelope Proteins/immunology
- Mice
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Affiliation(s)
- Marianna Agudelo
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Martin Palus
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
- Veterinary Research Institute, Brno, Czech Republic
| | - Jennifer R. Keeffe
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA
| | - Filippo Bianchini
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Pavel Svoboda
- Veterinary Research Institute, Brno, Czech Republic
- Department of Pharmacology and Pharmacy, Faculty of Veterinary Medicine, University of Veterinary and Pharmaceutical Sciences Brno, Brno, Czech Republic
| | - Jiří Salát
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
- Veterinary Research Institute, Brno, Czech Republic
| | - Avery Peace
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY
| | - Anna Gazumyan
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Melissa Cipolla
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Tania Kapoor
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Francesca Guidetti
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Kai-Hui Yao
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Jana Elsterová
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
- Veterinary Research Institute, Brno, Czech Republic
| | | | - Aleš Chrdle
- Hospital České Budějovice, České Budějovice, Czech Republic
- Faculty of Social and Health Sciences, University of South Bohemia, České Budějovice, Czech Republic
- Royal Liverpool University Hospital, Liverpool, UK
| | - Václav Hönig
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
- Veterinary Research Institute, Brno, Czech Republic
| | - Thiago Oliveira
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
| | - Anthony P. West
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA
| | - Yu E. Lee
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA
| | - Charles M. Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY
| | - Margaret R. MacDonald
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY
| | - Pamela J. Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA
| | - Daniel Růžek
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
- Veterinary Research Institute, Brno, Czech Republic
| | - Davide F. Robbiani
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Michel C. Nussenzweig
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY
- Howard Hughes Medical Institute, The Rockefeller University, New York, NY
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49
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Affinity Selection in Germinal Centers: Cautionary Tales and New Opportunities. Cells 2021; 10:cells10051040. [PMID: 33924933 PMCID: PMC8145379 DOI: 10.3390/cells10051040] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/23/2021] [Accepted: 04/24/2021] [Indexed: 12/29/2022] Open
Abstract
Our current quantitative knowledge of the kinetics of antibody-mediated immunity is partly based on idealized experiments throughout the last decades. However, new experimental techniques often render contradictory quantitative outcomes that shake previously uncontroversial assumptions. This has been the case in the field of T-cell receptors, where recent techniques for measuring the 2-dimensional rate constants of T-cell receptor–ligand interactions exposed results contradictory to those obtained with techniques measuring 3-dimensional interactions. Recently, we have developed a mathematical framework to rationalize those discrepancies, focusing on the proper fine-grained description of the underlying kinetic steps involved in the immune synapse. In this perspective article, we apply this approach to unveil potential blind spots in the case of B-cell receptors (BCR) and to rethink the interactions between B cells and follicular dendritic cells (FDC) during the germinal center (GC) reaction. Also, we elaborate on the concept of “catch bonds” and on the recent observations that B-cell synapses retract and pull antigen generating a “retracting force”, and propose some testable predictions that can lead to future research.
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50
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Kisiela DI, Magala P, Interlandi G, Carlucci LA, Ramos A, Tchesnokova V, Basanta B, Yarov-Yarovoy V, Avagyan H, Hovhannisyan A, Thomas WE, Stenkamp RE, Klevit RE, Sokurenko EV. Toggle switch residues control allosteric transitions in bacterial adhesins by participating in a concerted repacking of the protein core. PLoS Pathog 2021; 17:e1009440. [PMID: 33826682 PMCID: PMC8064603 DOI: 10.1371/journal.ppat.1009440] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 04/23/2021] [Accepted: 03/02/2021] [Indexed: 11/18/2022] Open
Abstract
Critical molecular events that control conformational transitions in most allosteric proteins are ill-defined. The mannose-specific FimH protein of Escherichia coli is a prototypic bacterial adhesin that switches from an 'inactive' low-affinity state (LAS) to an 'active' high-affinity state (HAS) conformation allosterically upon mannose binding and mediates shear-dependent catch bond adhesion. Here we identify a novel type of antibody that acts as a kinetic trap and prevents the transition between conformations in both directions. Disruption of the allosteric transitions significantly slows FimH's ability to associate with mannose and blocks bacterial adhesion under dynamic conditions. FimH residues critical for antibody binding form a compact epitope that is located away from the mannose-binding pocket and is structurally conserved in both states. A larger antibody-FimH contact area is identified by NMR and contains residues Leu-34 and Val-35 that move between core-buried and surface-exposed orientations in opposing directions during the transition. Replacement of Leu-34 with a charged glutamic acid stabilizes FimH in the LAS conformation and replacement of Val-35 with glutamic acid traps FimH in the HAS conformation. The antibody is unable to trap the conformations if Leu-34 and Val-35 are replaced with a less bulky alanine. We propose that these residues act as molecular toggle switches and that the bound antibody imposes a steric block to their reorientation in either direction, thereby restricting concerted repacking of side chains that must occur to enable the conformational transition. Residues homologous to the FimH toggle switches are highly conserved across a diverse family of fimbrial adhesins. Replacement of predicted switch residues reveals that another E. coli adhesin, galactose-specific FmlH, is allosteric and can shift from an inactive to an active state. Our study shows that allosteric transitions in bacterial adhesins depend on toggle switch residues and that an antibody that blocks the switch effectively disables adhesive protein function.
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Affiliation(s)
- Dagmara I. Kisiela
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Pearl Magala
- Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
| | - Gianluca Interlandi
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
| | - Laura A. Carlucci
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
| | - Angelo Ramos
- Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
| | - Veronika Tchesnokova
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Benjamin Basanta
- Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
- Institute for Protein Design, University of Washington, Seattle, Washington, United States of America
| | - Vladimir Yarov-Yarovoy
- Department of Physiology and Membrane Biology, University of California, Davis, California, United States of America
| | - Hovhannes Avagyan
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Anahit Hovhannisyan
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Wendy E. Thomas
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
| | - Ronald E. Stenkamp
- Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
- Department of Biological Structure, University of Washington, Seattle, Washington, United States of America
| | - Rachel E. Klevit
- Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
| | - Evgeni V. Sokurenko
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
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