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Discover how PEPperPRINT Peptide Microarray products have been used in different fields of research.

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Inhibition of lung microbiota-derived proapoptotic peptides ameliorates acute exacerbation of pulmonary fibrosis

D’Alessandro-Gabazza, Corina N.; Yasuma, Taro; Kobayashi, Tetsu; Toda, Masaaki; Abdel-Hamid, Ahmed M.; Fujimoto, Hajime; Hataji, Osamu; Nakahara, Hiroki; Takeshita, Atsuro; Nishihama, Kota; Okano, Tomohito; Saiki, Haruko; Okano, Yuko; Tomaru, Atsushi; Fridman D’Alessandro, Valeria; Shiraishi, Miyako; Mizoguchi, Akira; Ono, Ryoichi; Ohtsuka, Junpei; Fukumura, Masayuki; Nosaka, Tetsuya; Mi, Xuenan; Shukla, Diwakar; Kataoka, Kensuke; Kondoh, Yasuhiro; Hirose, Masaki; Arai, Toru; Inoue, Yoshikazu; Yano, Yutaka; Mackie, Roderick I.; Cann, Isaac; Gabazza, Esteban C.
Nat Commun.
Mar 2022
10.1038/s41467-022-29064-3
Idiopathic pulmonary fibrosis is an incurable disease of unknown etiology. Acute exacerbation of idiopathic pulmonary fibrosis is associated with high mortality. Excessive apoptosis of lung epithelial cells occurs in pulmonary fibrosis acute exacerbation. We recently identified corisin, a proapoptotic peptide that triggers acute exacerbation of pulmonary fibrosis. Here, we provide insights into the mechanism underlying the processing and release of corisin. Furthermore, we demonstrate that an anticorisin monoclonal antibody ameliorates lung fibrosis by significantly inhibiting acute exacerbation in the human transforming growth factorβ1 model and acute lung injury in the bleomycin model. By investigating the impact of the anticorisin monoclonal antibody in a general model of acute lung injury, we further unravel the potential of corisin to impact such diseases. These results underscore the role of corisin in the pathogenesis of acute exacerbation of pulmonary fibrosis and acute lung injury and provide a novel approach to treating this incurable disease.

In vitro evolution of myc-tag antibodies: in-depth specificity and affinity analysis of Myc1-9E10 and Hyper-Myc

Russo, Giulio; Unkauf, Tobias; Meier, Doris; Wenzel, Esther Veronika; Langreder, Nora; Schneider, Kai-Thomas; Wiesner, Rebecca; Bischoff, Ralf; Stadler, Volker; Dübel, Stefan
Mar 2022
10.1515/hsz-2021-0405
One of the most widely used epitope tags is the myc-tag, recognized by the anti-c-Myc hybridoma antibody Myc1-9E10. Combining error-prone PCR, DNA shuffling and phage display, we generated an anti-c-Myc antibody variant (Hyper-Myc) with monovalent affinity improved to 18 nM and thermal stability increased by 37%. Quantification of capillary immunoblots and by flow cytometry demonstrated improved antigen detection by Hyper-Myc. Further, three different species variants of this antibody were generated to allow the use of either anti-human, anti-mouse or anti-rabbit Fc secondary antibodies for detection. We characterized the specificity of both antibodies in depth: individual amino acid exchange mapping demonstrated that the recognized epitope was not changed by the in vitro evolution process. A laser printed array of 29,127 different epitopes representing all human linear B-cell epitopes of the Immune Epitope Database allowing to chart unwanted reactivities with mimotopes showed these to be very low for both antibodies and not increased for Hyper-Myc despite its improved affinity. The very low background reactivity of Hyper-Myc was confirmed by staining of myc-tag transgenic zebrafish whole mounts. Hyper-Myc retains the very high specificity of Myc1-9E10 while allowing myc-tag detection at lower concentrations and with either anti-mouse, anti-rabbit or anti human secondary antibodies.

Increased neutralization and IgG epitope identification after MVA-MERS-S booster vaccination against Middle East respiratory syndrome

Fathi, Anahita; Dahlke, Christine; Krähling, Verena; Kupke, Alexandra; Okba, Nisreen M. A.; Raadsen, Matthijs P.; Heidepriem, Jasmin; Müller, Marcel A.; Paris, Grigori; Lassen, Susan; Klüver, Michael; Volz, Asisa; Koch, Till; Ly, My L.; Friedrich, Monika; Fux, Robert; Tscherne, Alina; Kalodimou, Georgia; Schmiedel, Stefan; Corman, Victor M.; Hesterkamp, Thomas; Drosten, Christian; Loeffler, Felix F.; Haagmans, Bart L.; Sutter, Gerd; Becker, Stephan; Addo, Marylyn M.
Feb 2022
10.1101/2022.02.14.22270168
Vaccine development is essential for pandemic preparedness. We previously conducted a Phase 1 clinical trial of the vector vaccine candidate MVA-MERS-S against the Middle East respiratory syndrome coronavirus (MERS-CoV), expressing its full spike glycoprotein (MERS-CoV-S), as a homologous two-dose regimen (Days 0 and 28). Here, we evaluate a third vaccination with MVA-MERS-S in a subgroup of trial participants one year after primary immunization. A booster vaccination with MVA-MERS-S is safe and well-tolerated. Both binding and neutralizing anti-MERS-CoV antibody titers increase substantially in all participants and exceed maximum titers observed after primary immunization more than 10-fold. We identify four immunogenic IgG epitopes, located in the receptor-binding domain (RBD, n=1) and the S2 subunit (n=3) of MERS-CoV-S. The level of baseline anti-human coronavirus antibody titers does not impact the generation of anti-MERS-CoV antibody responses. Our data support the rationale of a booster vaccination with MVA-MERS-S and encourage further investigation in larger trials.

Analysis of the Immune Response and Identification of Antibody Epitopes Against the Sigma C Protein of Avian Orthoreovirus Following Immunization with Live or Inactivated Vaccines

Dawe, W. H.; Kapczynski, D. R.; Linnemann, E. G.; Gauthiersloan, V. R.; Sellers, H. S.
Avian Diseases.
Jan 2022
10.1637/aviandiseases-D-22-99992

Protein microarrays for COVID-19 research: Biomarker discovery, humoral response, and vaccine targets

Acharjee, Arup; Barpanda, Abhilash; Ren, Jing; Yu, Xiaobo
Jan 2022
10.1201/9781003220787-6
Of all the technological interventions used to probe the COVID-19 biological sample, microarrays have provided unique information about the biology of SARS-CoV-2 infection in the greatest of detail. Protein microarrays are available in various formats such as protein microarray, antibody microarray, and peptide microarrays. These provide an attractive format to study host response against infection, with its straightforward sample preparation strategy and easy result analysis pipelines. Microarray technology either uses antibodies against hundreds of proteins to study host proteins or scans immunogenic peptides of the pathogen in a microarray panel of the pathogen proteome. It can be used to study the humoral immune response against antigenic proteins of the SARS-CoV-2 virus, host proteomic alterations due to the infection. The SARS-CoV-2 peptide array can be used for the accurate detection of antigenic determinants for vaccine design. This chapter summarizes the different types of protein and peptide microarray and their use in COVID-19 biomarker discovery, disease management, vaccine design, etc., for better management of COVID-19.

A Quantum Vaccinomics Approach Based on Protein–Protein Interactions

Contreras, Marinela; Artigas-Jerónimo, Sara; Pastor Comín, Juan J.; de la Fuente, José
Jan 2022
10.1007/978-1-0716-1888-2_17
Vaccines are the most effective preventive intervention to reduce the impact of infectious diseases worldwide. In particular, tick-borne diseases represent a growing burden for human and animal health worldwide and vaccines are the most effective and environmentally sound approach for the control of vector infestations and pathogen transmission. However, the development of effective vaccines for the control of tick-borne diseases with combined vector-derived and pathogen-derived antigens is one of the limitations for the development of effective vaccine formulations. Quantum biology arise from findings suggesting that living cells operate under non-trivial features of quantum mechanics, which has been proposed to be involved in DNA mutation biological process. Then, the electronic structure of the molecular interactions behind peptide immunogenicity led to quantum immunology and based on the definition of the photon as a quantum of light, the immune protective epitopes were proposed as the immunological quantum. Recently, a quantum vaccinomics approach was proposed based on the characterization of the immunological quantum to further advance the design of more effective and safe vaccines. In this chapter, we describe methods of the quantum vaccinomics approach based on proteins with key functions in cell interactome and regulome of vector–host–pathogen interactions for the identification by yeast two-hybrid screen and the characterization by in vitro protein–protein interactions and musical scores of protein interacting domains, and the characterization of conserved protective epitopes in protein interacting domains. These results can then be used for the design and production of chimeric protective antigens.

Discovery of putative breast cancer antigens using an integrative platform of genomics-driven immunoproteomics

Qendro, Veneta; Lundgren, Deborah H.; Palczewski, Samuel; Hegde, Poornima; Stevenson, Christina; Perpetua, Laurie; Latifi, Ardian; Merriman, Jesse; Bugos, Grace; Han, David K.
Proteomics.
Aug 2018
10.1002/pmic.201600318
Recent advances in cancer immuno-therapeutics such as checkpoint inhibitors, chimeric antigen-receptor T cells, and tumor infiltrating T cells (TIL) are now significantly impacting cancer patients in a positive manner. Although very promising, reports indicate no more than 25% of cases result in complete remission. One of the limitations of these treatments is the identity of putative cancer antigens in each patient, as it is technically challenging to identify cancer antigens in a rapid fashion. Thus, identification of cancer antigens followed by targeted treatment will increase the efficacy of cancer immunotherapies. To achieve this goal, a combined technologies platform of deep genomic sequencing and personalized immune assessment was devised, termed Genomics Driven Immunoproteomics (GDI). Using this technological platform, we report the discovery of 149 tumor antigens from human breast cancer patients. Significant number of these putative cancer antigens arise from single nucleotide variants (SNVs), as well as insertions and deletions that results into frame-shift mutations. We propose a general model of anti-cancer immunity and suggest that the GDI platform may help identify patient-specific tumor antigens in a timely fashion for precision immunotherapies.

Circulating GRP78 antibodies from ovarian cancer patients: a promising tool for cancer cell targeting drug delivery system?

Van Hoesen, Kylie; Meynier, Sonia; Ribaux, Pascale; Petignat, Patrick; Delie, Florence; Cohen, Marie
Oncotarget.
Dec 2017
10.18632/oncotarget.22412
Glucose-regulated protein 78 (GRP78) is a chaperone protein that has a high frequency in tumor cells. Normally it is found in the endoplasmic reticulum to assist in protein folding, but under cellular stress, GRP78 influences proliferative signaling pathways at the cell surface. The increased expression elicits autoantibody production, providing a biomarker of ovarian cancer, as well as other types of cancer. This study aims to determine the epitope recognition of GRP78 autoantibodies isolated from serum of ovarian cancer patients and use the identified antibodies to design new drug delivery systems to specifically target cancer cells. We first confirmed that the membrane GRP78 levels are increased in ovarian cancer cells and positively correlate with proliferation. However, the level of circulating GRP78 autoantibodies did not correlate with membrane GRP78 expression in ovarian cancer cells and was lower, although not significantly, compared to control patients. We then determined the epitope recognition of GRP78 autoantibodies and showed that treatment with paclitaxel-loaded nanoparticles coated with anti-GRP78 antibodies significantly decreased tumor development in chick embryo culture of ovarian cancer cell tumors compared to paclitaxel treatment alone. This evidence suggests that nanoparticle drug delivery systems coupled with antibodies against GRP78 has potential as a powerful therapy against ovarian cancer.

A novel neutralizing human monoclonal antibody broadly abrogates hepatitis C virus infection in vitro and in vivo

Desombere, Isabelle; Mesalam, Ahmed Atef; Urbanowicz, Richard A.; Van Houtte, Freya; Verhoye, Lieven; Keck, Zhen-Yong; Farhoudi, Ali; Vercauteren, Koen; Weening, Karin E.; Baumert, Thomas F.; Patel, Arvind H.; Foung, Steven K.H.; Ball, Jonathan; Leroux-Roels, Geert; Meuleman, Philip
Antiviral Research.
Dec 2017
10.1016/j.antiviral.2017.10.015
Infections with hepatitis C virus (HCV) represent a worldwide health burden and a prophylactic vaccine is still not available. Liver transplantation (LT) is often the only option for patients with HCV-induced end-stage liver disease. However, immediately after transplantation, the liver graft becomes infected by circulating virus, resulting in accelerated progression of liver disease. Although the efficacy of HCV treatment using direct-acting antivirals has improved significantly, immune compromised LT-patients and patients with advanced liver disease remain difficult to treat. As an alternative approach, interfering with viral entry could prevent infection of the donor liver. We generated a human monoclonal antibody (mAb), designated 2A5, which targets the HCV envelope. The neutralizing activity of mAb 2A5 was assessed using multiple prototype and patient-derived HCV pseudoparticles (HCVpp), cell culture produced HCV (HCVcc), and a human-liver chimeric mouse model. Neutralization levels observed for mAb 2A5 were generally high and mostly superior to those obtained with AP33, a well-characterized HCV-neutralizing monoclonal antibody. Using humanized mice, complete protection was observed after genotype 1a and 4a HCV challenge, while only partial protection was achieved using gt1b and 6a isolates. Epitope mapping revealed that mAb 2A5 binding is conformation-dependent and identified the E2-region spanning amino acids 434 to 446 (epitope II) as the predominant contact domain. Conclusion: mAb 2A5 shows potent anti-HCV neutralizing activity both in vitro and in vivo and could hence represent a valuable candidate to prevent HCV recurrence in LT-patients. In addition, the detailed identification of the neutralizing epitope can be applied for the design of prophylactic HCV vaccines.

Development and analytical performance of a new ARCHITECT automated dipeptidyl peptidase-4 immunoassay

Hemken, Philip M.; Jeanblanc, Nicolette M.; Rae, Tracey; Brophy, Susan E.; Datwyler, Maria J.; Xu, Ying; Manetz, T. Scott; Vainshtein, Inna; Liang, Meina; Xiao, Xiaodong; Chowdhury, Partha S.; Chang, Chien-ying; Streicher, Katie; Greenlees, Lydia; Ranade, Koustubh; Davis, Gerard J.
Practical Laboratory Medicine.
Dec 2017
10.1016/j.plabm.2017.10.003
Background Dipeptidyl peptidase-4 (DPP-4) may be a suitable biomarker to identify people with severe asthma who have greater activation of the interleukin-13 (IL-13) pathway and may therefore benefit from IL-13-targeted treatments. We report the analytical performance of an Investigational Use Only immunoassay and provide data on the biological range of DPP-4 concentrations. Methods We assessed assay performance, utilising analyses of precision, linearity and sensitivity; interference from common endogenous assay interferents, and from asthma and anti-diabetic medications, were also assessed. The assay was used to measure the range of serum DPP-4 concentrations in healthy volunteers and subjects with diabetes and severe, uncontrolled asthma. Results The total precision of DPP-4 concentration measurement (determined using percentage coefficient of variation) was ≤5% over 20 days. Dilution analysis yielded linear results from 30 to 1305 ng/mL; the limit of quantitation was 19.2 ng/mL. No notable endogenous or drug interferences were observed at the expected therapeutic concentration. Median DPP-4 concentrations in healthy volunteers and subjects with asthma or Type 1 diabetes were assessed, with concentrations remaining similar in subjects with diabetes and asthma across different demographics. Conclusion These analyses indicate that the ARCHITECT DPP-4 Immunoassay is a reliable and robust method for measuring serum DPP-4 concentration.

Bayesian Analysis of MicroScale Thermophoresis Data to Quantify Affinity of Protein:Protein Interactions with Human Survivin

Garcia-Bonete, Maria-Jose; Jensen, Maja; Recktenwald, Christian V.; Rocha, Sandra; Stadler, Volker; Bokarewa, Maria; Katona, Gergely
Sci Rep.
Dec 2017
10.1038/s41598-017-17071-0
A biomolecular ensemble exhibits different responses to a temperature gradient depending on its diffusion properties. MicroScale Thermophoresis technique exploits this effect and is becoming a popular technique for analyzing interactions of biomolecules in solution. When comparing affinities of related compounds, the reliability of the determined thermodynamic parameters often comes into question. The thermophoresis binding curves can be assessed by Bayesian inference, which provides a probability distribution for the dissociation constant of the interacting partners. By applying Bayesian machine learning principles, binding curves can be autonomously analyzed without manual intervention and without introducing subjective bias by outlier rejection. We demonstrate the Bayesian inference protocol on the known survivin:borealin interaction and on the putative protein-protein interactions between human survivin and two members of the human Shugoshin-like family (hSgol1 and hSgol2). These interactions were identified in a protein microarray binding assay against survivin and confirmed by MicroScale Thermophoresis.

Identification of two conserved B-cell epitopes in the gp90 of reticuloendothelial virus using peptide microarray

Khairy, Wiaam O.A.; Qian, Kun; Shao, Hongxia; Ye, Jianqiang; Qin, Aijian
Veterinary Microbiology.
Nov 2017
10.1016/j.vetmic.2017.10.009
Since the gp90 protein of Reticuloendotheliosis virus (REV) plays vital roles in virus neutralization, so detailed analysis of REV-gp90 epitopes is important for the development of epitope based marker vaccines and diagnostic tools for REV infections. In this study, two monoclonal antibodies (mAbs) namely 6C12 and 09980 were used to map the epitopes in REVgp90 using peptide microarray and ELISA. Peptide microarray revealed that mAbs 6C12 and 09980 recognized 216YHPLA220 and 230DPQTSDILEA239 motifs, respectively. This result was confirmed by ELISA using synthetic peptides. Moreover, homology analysis indicated that mAbs defined epitopes are highly conserved among REV strains used in this study. The mAbs and their epitopes identified in this study may have potential applications in development of diagnostic techniques and epitope-based marker vaccines for control of REV infections.

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