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

Non-Neutralizing Antibody Functions Predict Susceptibility to SARS-CoV-2 Infection after mRNA Booster Vaccination

Levy, Shlomia; Trifkovic, Sanja; Mielke, Dieter; Oppenheimer, Hannah; Goodman, Derrick; Ostrovsky, Daniel; Sanfield-Oakley, Sherry A.; Brackett, Caroline; Friedman, Lilach M; Kerkau, Melissa; Webby, Richard; Tomaras, Georgia; Guido, Ferrari; Nesher, Lior; Hertz, Tomer
Previous studies have shown that neutralizing and binding antibody titers are correlates of protection for symptomatic SARS-CoV-2 infection. We previously reported that individuals with low IgG and IgA baseline immune history (BIH) to SARS-CoV-2 variants were at increased risk of symptomatic infection in study of healthcare workers that received 3 or 4 doses of the Pfizer BNT-1262b2 vaccine. We also found that 1-month post-vaccination with the 4th booster dose, individuals with low-BIH mounted significant rises in binding and neutralizing antibody titers, to levels comparable to those of individuals with high-BIH, demonstrating that their increased risk was not due to inability to respond to vaccination. To further study the underlying factors that are associated with increased risk, we conducted a systems serology study of 40 low-BIH and 40 high-BIH individuals across 7 months of follow-up. We found that individuals with low BIH exhibited a significantly higher risk of symptomatic infection (HR=2.691, p=0.0065) and mounted weaker IgA and antibody-dependent cellular cytotoxicity (ADCC) responses compared to high-BIH individuals, particularly against Omicron and Delta variants. Baseline levels of the chemokine CXCL-11 were elevated in the low-BIH group. We then showed that baseline immune profiles can be used to train a prediction model of infection risk across 7 months of follow-up with 76% accuracy. IgA, ADCC and ADCP baseline features were dominant predictors of susceptibility. Our findings suggest that non-neutralizing antibody functions, especially IgA and ADCC, contribute to protection against symptomatic SARS-CoV-2 infection and that serology-guided stratification can enhance discovery of immune correlates of risk informing future vaccine design and deployment strategies.

Role of double-negative 2 B cells in the pathogenesis of rheumatoid arthritis.

Wing, Elinor
Jul 2024
Rheumatoid arthritis (RA) is the most common autoimmune inflammatory arthritis leading to chronic and severe systemic inflammation. There is currently no cure for RA and only a small proportion of patients ever experience prolonged disease remission. B cells are key drivers of chronic inflammation in RA, shown by the success of B cell depletion therapies. There is limited understanding of the relationship between synovial B cell subsets and antibody secreting cells (ASCs), despite this knowledge being crucial for the development of more targeted B-cell depleting therapies. A CD11c⁺ᵛᵉ double-negative B cell population, DN2 B cells, have recently been shown to be increased in patients with systemic lupus erythematosus (SLE). While DN2 B cells have been suggested as an ASC precursor in SLE, to date there is no proven link between the two subsets in RA. To address this, I used full spectrum flow cytometry to explore significant changes in the B cell populations in RA patients. I have used a combination of manual gating and unbiased computational methods to characterise both circulating and synovial B cells. This revealed that DN2 B cells and their precursors, called activated naive B cells, were nearly twice as frequent in RA patients compared to healthy age matched controls. Moreover, DN2 B cells were further enriched in the synovial tissue of RA patients. These DN2 B cells exhibited elevated CD11c, CD19, and FcRL5 expression, alongside reduced levels of CD21, CD24, and CD38, matching previous observations in SLE. Remarkably, RA DN2 B cells displayed lower CD95 expression compared to healthy DN2 B cells, which may allow autoreactive cells to evade tolerance mechanisms. Next, I have used single-cell sequencing with paired BCR sequencing to study synovial B cells from patients with established RA. This revealed 12 distinct B cell clusters within the synovial tissue, including naive, memory, and DN2 B cells, as well as a large population of ASCs. A novel subset of heat shock protein expressing B cells were also identified that showed significant enrichment for pathways related to incorrect protein folding. Investigation into the differentially expressed transcription pathways in DN2 B cells highlighted the activation of numerous pathways which could participate in the disease process, including those involved in processing and presenting antigens. The BCR sequences of synovial B cells showed attributes that have previously been linked to autoreactivity, including increased N-linked Fab glycosylation and reduced somatic hypermutation. To better understand the differentiation patterns within the diseased tissue, a combination of RNA-based trajectory inference and clonal lineage analysis of BCR relationships were used. Both forms of analysis indicated that DN2 B cells serve as major iii precursors to synovial ASCs with examples of the clusters sharing exact heavy and light chain CDR3 sequences. Finally, I have cloned and expressed antibodies from the BCR sequencing data to ascertain the specificity of six BCR sequences, four from DN2-derived ASCs and two from large clonal expansions. Sequences were cloned using the Polymerase Incomplete Primer Extension (PIPE) cloning method and expressed using HEK293T cells. Once purified the antibodies were screened using a custom peptide microarray, which suggested that histones H2A and H2B, citrullinated albumin, and citrullinated clusterin may be important self-antigens in these samples. The novel findings of this thesis advance our understanding of B cells in RA and reveals the origin of pathogenic ASCs in the RA synovial tissue. Given the significant role of DN2 B cells as a progenitor to ASCs in RA, it is important to conduct additional research to investigate the origins of DN2 B cells in RA and explore their potential as therapeutic targets in place of the less specific pan-B cells depletion therapies currently in use.

Anti-COX-2 Autoantibody is a Novel Marker of Immune Aplastic Anemia

Kelkka, Tiina; Tyster, Mikko; Lundgren, Sofie; Feng, Xingmin; Kerr, Cassandra; Hosokawa, Kohei; Huuhtanen, Jani; Keränen, Mikko; Kawakami, Toru; Patel, Bhavisha; Maeda, Yuka; Nieminen, Otso; Kasanen, Tiina; Aronen, Pasi; Yadav, Bhagwan; Rajala, Hanna; Nakazawa, Hideyuki; Jaatinen, Taina; Hellstrom-Lindberg, Eva; Ogawa, Seishi; Ishida, Fumihiro; Nishikawa, Hiroyoshi; Nakao, Shinji; Maciejewski, Jaroslaw; Young, Neal S.; Mustjoki, Satu
In immune aplastic anemia (IAA), severe pancytopenia results from the immune-mediated destruction of hematopoietic stem cells. Several autoantibodies have been reported, but no clinically applicable autoantibody tests are available for IAA. We screened autoantibodies using a microarray containing > 9 000 proteins and validated the findings in a large international cohort of IAA patients (n = 405) and controls (n = 815). We identified a novel autoantibody that binds to the C-terminal end of cyclo-oxygenase 2 (COX-2, aCOX-2 Ab). 37% of all adult IAA patients tested positive for aCOX-2 Ab, while only 1.7% of the controls were aCOX-2 Ab positive. Sporadic non-IAA aCOX-2 Ab positive cases were observed among patients with related bone marrow failure diseases, multiple sclerosis, and type I diabetes, whereas no aCOX-2 Ab seropositivity was detected in the healthy controls, in patients with non-autoinflammatory diseases or rheumatoid arthritis. In IAA, anti-COX-2 Ab positivity correlated with age and the HLA-DRB1*15:01 genotype. 83% of the > 40 years old IAA patients with HLA-DRB1*15:01 were anti-COX-2 Ab positive, indicating an excellent sensitivity in this group. aCOX-2 Ab positive IAA patients also presented lower platelet counts. Our results suggest that aCOX-2 Ab defines a distinct subgroup of IAA and may serve as a valuable diagnostic tool.

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.
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.

A Quantum Vaccinomics Approach Based on Protein–Protein Interactions

Contreras, Marinela; Artigas-Jerónimo, Sara; Pastor Comín, Juan J.; de la Fuente, José
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.

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

Acharjee, Arup; Barpanda, Abhilash; Ren, Jing; Yu, Xiaobo
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.

Heterotypic Assembly Mechanism Regulates CHIP E3 Ligase Activity

Das, Aniruddha; Thapa, Pankaj; Santiago, Ulises; Shanmugam, Nilesh; Banasiak, Katarzyna; Dabrowska, Katarzyna; Nolte, Hendrik; Szulc, Natalia A.; Gathungu, Rose M.; Cysewski, Dominik; Krüger, Marcus; Dadlez, Michal; Nowotny, Marcin; Camacho, Carlos J.; Hoppe, Thorsten; Pokrzywa, Wojciech
The E3 ubiquitin ligases CHIP/CHN-1 and UFD-2 team up to accelerate ubiquitin chain formation. However, it remained largely unclear how the high processivity of this E3 set is achieved. Here we studied the molecular mechanism and function of the CHN-1/UFD-2 complex in Caenorhabditis elegans. Our data show that UFD-2 binding promotes the cooperation between CHN-1 and ubiquitin-conjugating E2 enzymes by stabilizing the CHN-1 U-box dimer. The HSP-1 chaperone outcompetes UFD-2 for CHN-1 binding and promotes the auto-inhibited CHN-1 state by acting on the conserved position of the U-box domain. The interaction with UFD-2 enables CHN-1 to efficiently ubiquitinate S-Adenosylhomocysteinase (AHCY-1), an enzyme crucial for lipid metabolism. Our results define the molecular mechanism underlying the synergistic cooperation of CHN-1 and UFD-2 in substrate ubiquitylation.

Distinct early IgA profile may determine severity of COVID-19 symptoms: an immunological case series

Dahlke, Christine; Heidepriem, Jasmin; Kobbe, Robin; Santer, Rene; Koch, Till; Fathi, Anahita; Ly, My L.; Schmiedel, Stefan; Seeberger, Peter H.; ID-UKE COVID-19 study group; Addo, Marylyn M.; Loeffler, Felix F.
SARS-CoV-2 is the causative agent of COVID-19 and is a severe threat to global health. Patients infected with SARS-CoV-2 show a wide range of symptoms and disease severity, while limited data is available on its immunogenicity. Here, the kinetics of the development of SARS-CoV-2-specific antibody responses in relation to clinical features and dynamics of specific B-cell populations are reported. Immunophenotyping of B cells was performed by flow cytometry with longitudinally collected PBMCs. In parallel, serum samples were analyzed for the presence of SARS-CoV-2-specific IgA, IgG, and IgM antibodies using whole proteome peptide microarrays. Soon after disease onset in a mild case, we observed an increased frequency of plasmablasts concomitantly with a strong SARS-CoV-2-specific IgA response. In contrast, a case with more severe progression showed a delayed, but eventually very strong and broad SARS-CoV-2-specific IgA response. This case study shows that determining SARS-CoV-2-specific antibody epitopes can be valuable to monitor the specificity and magnitude of the early B-cell response, which could guide the development of vaccine candidates. Follow-up studies are required to evaluate whether the kinetics and strength of the SARS-CoV-2-specific IgA response could be potential prognostic markers of viral control.

Genomics-Driven Immunoproteomics: An Integrative Platform to Uncover Important Biomarkers for Human Diseases

Giri, Raghavendra; Qendro, Veneta; Rani, Pooja; Jepchumba, Carren; Bugos, Grace; Stadler, Volker; Han, David K.
Genomics-driven immunoproteomics (GDI) is a platform that helps identify antigenic protein targets of mutations and other deoxyribonucleic acid (DNA) variations that are commonly associated with pathological states. This platform utilizes data generated from deep sequencing of exomic DNA or ribonucleic acid (RNA) as input to synthesize mutant peptides into microarrays, which then can be used to detect antigenic proteins that invoke immune response in patients. The technology has been used to detect antigenic targets of multiple sclerosis, an autoimmune disease [1], and cancer to identify mutant proteins that invoke immune response in breast cancer patients [2]. This technology has many potential applications to select genomic changes that are specifically recognized by the immune system in a rapid and efficient manner.

A canstatin-derived peptide provides insight into the role of Capillary Morphogenesis Gene 2 in angiogenic regulation and matrix uptake

Finnell, Jordan G.; Tsang, Tsz-Ming; Cryan, Lorna; Garrard, Samuel; Lee, Sai-Lun; Ackroyd, P. Christine; Rogers, Michael S.; Christensen, Kenneth A.
Jul 2019
Abstract Capillary Morphogenesis Gene 2 protein (CMG2) is a transmembrane, integrin-like receptor and the primary receptor for the anthrax toxin. In addition to its role as an anthrax toxin receptor, CMG2 has been repeatedly shown to play a role in angiogenic processes. However, the molecular mechanism mediating observed CMG2-related angiogenic effects has not been fully elucidated. Previous studies have found that CMG2 binds type IV collagen (Col-IV), a key component of the vascular basement membrane, as well as other ECM proteins. Currently, no link has been made between these CMG2-ECM interactions and angiogenesis; however, ECM fragments are known to play a role in regulating angiogenesis. Here, we further characterize the CMG2-Col-IV interaction and explore the effect of this interaction on angiogenesis. Using a peptide array, we observed that CMG2 preferentially binds peptide fragments of the NC1 (non-collagenous domain 1) domains of Col-IV. These domains are also known as the fragments arresten (from the α1 chain) and canstatin (from the α2 chain) and have documented antiangiogenic properties. A second peptide array was probed to map a putative binding epitope. A top hit from the initial array, a canstatin-derived peptide, binds to the CMG2 ligand-binding von Willebrand factor A (vWA) domain with sub-micromolar affinity (peptide S16, K d = 400 ± 200 nM). This peptide competes with anthrax protective antigen (PA) for CMG2 binding, and does not bind CMG2 in the presence of EDTA. Together these data suggest that, like PA, S16 interacts with CMG2 at the metal-ion dependent adhesion site (MIDAS) of its vWA domain. We demonstrate that CMG2 specifically mediates endocytic uptake of S16, since CMG2-/- endothelial cells show markedly reduced S16 uptake, without reducing total endocytosis. Furthermore, we show that S16 reduces endothelial migration but not cell proliferation. Taken together, our data demonstrate that a Col IV-derived anti-angiogenic peptide acts via CMG2, suggesting a possible link between CMG2-Col IV interactions and angiogenesis.

192 Disparities of B-cell type I interferon production and responses in SLE

Winn Chatham, W; Hsu, Hui-Chen; Mountz, John; Wu, Qi; Essman, Alex; Ojo, Oluwagbemiga; Liu, Shanrun; Yang, PingAr; Luo, Bao; Hamilton, Jennie
Background Dysregulated responses to type I interferons (IFNs) is a hallmark of autoreactive B-cell development in SLE. This study investigated the source of IFN, the major type I IFN responsive B cells, and the disparities associated with B-cell IFN production and type I IFN responses. Methods IFN expression in B, CD4 T and plasmacytoid dendritic cells (pDCs) in PBMCs were analyzed by flow cytometry. Single cell gene expression analysis was carried out using the Fluidigm/BioMark system for targeted expression of low abundance genes, and the 10x Chromium platform for unbiased transcriptome and BCR V(D)J analysis of approximately 2,000 B cells per subject. Autoantigen epitope targets were analyzed using a 4287 high-throughput PEPperPrint Autoimmune Epitope Microarray and a conventional ELISA analysis. Results IFN was analyzed in B cells, CD4 T cells and pDCs in PBMCs of SLE patients and healthy controls (HCs). Endogenous IFN was significantly increased in transitional (Tr), mature naïve, and memory B cells of SLE patients compared to HCs. Endogenous IFN in B cells was equivalent to that in pDCs. B-cell endogenous IFN was highly correlated with renal disease, anti-dsDNA, anti-Sm and anti-SSA. Strikingly, the highest correlation of IFN with clinical manifestations was observed in African-American (AA) patients with IgG autoAbs against snRNP323-339, U1snRNP-C97-113. At the single cell transcriptome levels, Tr B cells could be divided into type I IFN expressing (IFN+) or type I IFN stimulated gene (ISG+) subpopulations. TLR7 and TLR3 were mainly expressed by IFN +cells whereas TLR9 was mainly expressed by ISG +B cells. Unbiased single cells analysis of B cells indicated highly expressed ISG gene set in IGHM+, IGHD+, and IGHG +B cells in AA patients with autoantibodies and renal disease. Further, ISG highly expressing SLE B cells exhibited unique heavy- and light-chain repertoires including expression of the autoreactive IGHV4-34 gene, targeted with the 9 G4 anti-idiotype antibody that recognizes DNA- and RBP-autoreactive B cells. Conclusions (i) B cells are an important source of type I IFNs in modulating TLR and BCR responses in SLE; (ii) there are well-orchestrated distinct programs in type I IFN expression and response genes in subsets of B cells, (iii) distinct pathways of autoreactive B cell survival and activation are effected by combined signaling through BCR, TLR, and IFNAR with resultant distinct BCR heavy- and light-chain repertoire.

Targeted volumetric single-molecule localization microscopy of defined presynaptic structures in brain sections

Pauli, Martin; Paul, Mila M.; Proppert, Sven; Sharifi, Marzieh; Repp, Felix; Kollmannsberger, Philip; Sauer, Markus; Heckmann, Manfred; Sirén, Anna-Leena
Mar 2019
ABSTRACT Revealing the molecular organization of anatomically precisely defined brain regions is necessary for the refined understanding of synaptic plasticity. Although, three-dimensional (3D) single-molecule localization microscopy can provide the required molecular resolution, single-molecule imaging more than a few micrometers deep into tissue remains challenging. To quantify presynaptic active zones (AZ) of entire, large, conditional detonator hippocampal mossy fiber (MF) boutons with diameters as large as 10 µm, we developed a method for aberration-free volumetric direct stochastic optical reconstruction microscopy ( d STORM). An optimized protocol for fast repeated axial scanning and efficient sequential labeling of the AZ scaffold Bassoon and membrane bound GFP with Alexa Fluor 647 enables 3D- d STORM imaging of 25 µm thick mouse brain sections and assignment of AZs to specific neuronal substructures. Quantitative data analysis revealed large differences in Bassoon cluster size and density for distinct hippocampal regions with largest clusters in MF boutons.

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