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

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Characterization of antibodies against the replication protein (Rep) encoded by bovine meat and milk factors (BMMFs)

Frehtman, Veronika; Shukla, Gunjan; Gentz, Michael; Müller, Marcus; Duduyemi, Oladimeji Paul; Grewe, Imke; Ernst, Claudia; Tessmer, Claudia; Didier, Andrea; Hofmann, Ilse; Bund, Timo; Leuchs, Barbara
Appl Microbiol Biotechnol.
Apr 2026
10.1007/s00253-026-13809-x
Abstract Bovine Meat and Milk Factors (BMMFs) are DNA elements with similarity to bacterial plasmids, are frequently identified in bovine meat and milk and were proposed to contribute to cancer development. All known BMMFs encode a conserved replication protein (Rep), allowing for histologic BMMF detection in clinical specimens based on Rep-directed mouse monoclonal antibodies (mAbs), which, however, have only been partially characterized so far. Here, 20 anti-BMMF Rep antibodies were assessed for biophysical properties, reactivity, specificity and binding sensitivity to five distinct BMMF Reps and other prokaryotic/eukaryotic target antigens using an enzyme-linked immunosorbent assay (ELISA)-based anti-BMMF Rep antibody binding assay. We demonstrated sensitive and specific antibody reaction with their respective Rep targets, according to the antibody immunization. Consensus antibodies raised against defined peptides of conserved Rep amino acid stretches interacted with most of the Rep antigens. Antibodies produced based on immunization with the Rep encoded on the BMMF isolate H1MSB.1, including rabbit and human chimeric variants, reacted only with the cognate H1MSB.1 Rep, with only two outliers targeting additional Reps. Completely new antibodies raised against the Rep of another isolate (C1HB.4) specifically detected the cognate C1HB.4 Rep antigen – not interacting with other Reps. New antibodies generated by triple Rep immunization (H1MSB.2/C1MI.3M.1/C1MI.9M.1 Rep) reacted to either all three or two immunization antigens without interacting with any other Reps. None of the antibodies cross-reacted against Reps of bacteria occurring during milk production or lysates of mammalian hosts. Competitive inhibition confirmed antigen-specificity across the antibody panel, which additionally did not show aberrancies concerning purity or antibody size for the majority of the tested Abs. These findings authenticate a highly specific panel of anti-BMMF Rep antibodies, which can serve as tools for BMMF detection in cancer and chronic diseases.**Key Points** • Anti-BMMF Rep antibodies are important to judge BMMFs’ role as cancer risk factors. • Selective binding of anti-BMMF Rep antibodies to BMMF Rep antigens. • No cross-reactivity of anti-BMMF Rep antibodies with bacterial and mammalian outgroup specimens.

Integrated reiterative pipeline for rapid epitope-based pan-alphavirus vaccines

Versiani, Alice F.; McCaffrey, Peter; Ribeiro-Filho, Helder V.; Silva, Natalia I. O.; Lopes-de-Oliveira, Paulo S.; Carrera, Jean-Paul; Nogueira, Mauricio L.; Marques, Rafael E.; Rossi, Shannan L.; Vasilakis, Nikos
Sci Adv.
Mar 2026
10.1126/sciadv.aeb2066
The vast diversity of the virosphere underscores the need for rapid, adaptable vaccine development infrastructures. Arthropod-borne zoonotic alphaviruses, in particular, continue to pose substantial threats to human and animal health. We present a fast, multitarget vaccine design pipeline integrating machine learning-based epitope prediction, protein modeling, and docking to prioritize viral peptides by immunogenicity, allele coverage, solubility, and stability. T cell epitopes were validated using peptide microarrays and molecular dynamics simulations, confirming receptor binding accuracy. Flow cytometry of murine and human peripheral blood mononuclear cells demonstrated robust T cell activation and cytokine secretion (IFN-γ, TNF-α, or IL-2), dependent on species and HLA allele. Final candidates were selected by composite immunogenicity scores. While this study primarily validates the T cell-specific arm of our predictive pipeline, complementary B cell epitope analyses are ongoing. Our findings support the development of broadly protective pan-alphaviral vaccines and the establishment of efficient, tunable processes for global vaccine development.

Identification of a conformational epitope on the E antigen implicated in anti-E alloimmunization

Matsuura, Hideaki; Yamada, Ayuna; Doi, Hiroki; Fujii, Sumie; Miura, Yasuo
Blood Adv.
Mar 2026
10.1182/bloodadvances.2025018046

Selective Targeting of Tip Endothelial Cells as a Therapeutic Strategy for Tumor Angiogenesis

Kim, Byoungmo; Lee, Ha Kyeong; Azam, Zulfikar; Choi, Jeong Uk; Wahab, Riajul; Lee, Na Kyeong; Ko, Yoon Gun; Choi, So‐Young; Lee, Se‐Ra; Shim, Wan Seob; Kim, Taeeung; Kim, In‐San; Alam, Farzana; Kim, Sang Yoon; Kim, Seong Who; Byun, Youngro; Al‐Hilal, Taslim A
Advanced Science.
Mar 2026
10.1002/advs.202512975
ABSTRACT Tip endothelial cells (TipEC), the leading edge of angiogenic sprouts, are essential for pathological neo‐vascularization but remain difficult to target due to the lack of specific druggable markers. Here, we identify Doppel as a selective and druggable regulator of endothelial tip cell function. Doppel expression enhances TipEC selection, directional migration, and regulates tip‐stalk cell dynamics by spatially controlling VEGFR2/Dll4/Src pathway. Genetic ablation of PRND (Doppel) reduces tip cell formation without affecting the stalk cells (StalkECs) number in tumors, indicating its selective role in TipECs. Importantly, depletion of TipECs using the first‐in‐class monoclonal antibodies against a highly conserved WQF‐motif of Doppel robustly decreased the growth of tumors by selectively downregulating VEGFR2+ TipECs but not StalkECs. These findings position Doppel as a tumor TipEC‐specific, druggable target that may offer a new avenue to enhance and refine anti‐angiogenic therapies in cancer treatment.

Clinical outcomes-dependent IgG epitope profiling in HTLV-1 reveals differential recognition of pathogen-derived antigens

Cilento, Natali Espasiani; Borges, João Vitor Da Silva; Machado, Nicolle Rakanidis; Do Nascimento, Lais Alves; Moreira, Anna Luisa Baratelli; Passos, Lhays Ozório; Santamarina, Aline Boveto; Casseb, Jorge; Sanabani, Sabri Saeed; Victor, Jefferson Russo
Front. Immunol..
Feb 2026
10.3389/fimmu.2026.1755133
Human T-lymphotropic virus type 1 (HTLV-1) infection presents a wide clinical spectrum ranging from lifelong asymptomatic carriage to severe inflammatory neurodegeneration (HAM/TSP) or adult T-cell leukemia/lymphoma (ATLL). Although IgG responses contribute to viral control and immunopathology, the extent to which HTLV-1 clinical outcomes shape pathogen-derived IgG repertoires remains unclear. In this study, we applied a high-density infectious-disease epitope microarray containing 4,345 linear epitopes from viral, bacterial, parasitic, and fungal pathogens to profile IgG responses in healthy controls (HCs), asymptomatic carriers (ACs), HAM/TSP patients, and ATLL patients. Signal intensities were quantified in arbitrary units, and recognized epitopes were evaluated using similarity clustering (80% identity threshold) to assess repertoire structure. HTLV-1–infected individuals exhibited extensive remodeling of humoral immunity, with marked differences in the breadth and intensity of IgG recognition across clinical groups. HAM/TSP patients displayed broad and high-magnitude responses consistent with chronic inflammation and heightened Th1 activation, whereas ATLL patients recognized the largest number of epitopes but with distinct patterns indicative of altered B-cell regulation. Enhanced IgG responses to Mycobacterium tuberculosis, Strongyloides stercoralis, Toxoplasma gondii, and Plasmodium species were consistent with known co-infection susceptibilities in HTLV-1. Epitope similarity analysis revealed hundreds of low-redundancy clusters across all groups, arguing against simple linear cross-reactivity and suggesting phenotype-specific reshaping of B-cell selection and idiotypic networks. These findings demonstrate that HTLV-1 infection produces distinct, clinically dependent IgG epitope signatures across multiple pathogen classes, with potential relevance for understanding HTLV-1 pathogenesis and informing future studies integrating epitope mapping with B-cell repertoire analysis.

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
Jan 2026
10.2139/ssrn.6019238
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.

Naturally acquired IgG responses to Plasmodium falciparum do not target the conserved termini of the malaria vaccine candidate Merozoite Surface Protein 2

Zerebinski, Julia; Margerie, Lucille; Han, Nan Sophia; Moll, Maximilian; Ritvos, Matias; Jahnmatz, Peter; Ahlborg, Niklas; Ngasala, Billy; Rooth, Ingegerd; Sjöberg, Ronald; Sundling, Christopher; Yman, Victor; Färnert, Anna; Plaza, David Fernando
Front. Immunol..
Dec 2024
10.3389/fimmu.2024.1501700
Introduction Malaria remains a significant burden, and a fully protective vaccine against Plasmodium falciparum is critical for reducing morbidity and mortality. Antibody responses against the blood-stage antigen Merozoite Surface Protein 2 (MSP2) are associated with protection from P. falciparum malaria, but its extensive polymorphism is a barrier to its development as a vaccine candidate. New tools, such as long-read sequencing and accurate protein structure modelling allow us to study the genetic diversity and immune responses towards antigens from clinical isolates with unprecedented detail. This study sought to better understand naturally acquired MSP2-specific antibody responses. Methods IgG responses against recombinantly expressed full-length, central polymorphic regions, and peptides derived from the conserved termini of MSP2 variants sequenced from patient isolates, were tested in plasma from travelers with recent, acute malaria and from individuals living in an endemic area of Tanzania. Results IgG responses towards full MSP2 and truncated MSP2 antigens were variant specific. IgG antibodies in the plasma of first-time infected or previously exposed travelers did not recognize the conserved termini of expressed MSP2 variants by ELISA, but they bound 13-amino acid long linear epitopes from the termini in a custom-made peptide array. Alphafold3 modelling suggests extensive structural heterogeneity in the conserved termini upon antigen oligomerization. IgG from individuals living in an endemic region, many who were asymptomatically infected, did not recognize the conserved termini by ELISA. Discussion Our results suggest that responses to the variable regions are critical for the development of naturally acquired immunity towards MSP2.

Anti-allodynic effect of intrathecal antibodies against macrophage-inducible C-type lectin in spinal nerve ligation model in rat

Kang, Dong Ho; Kim, Woong Mo; Bae, Hong Beom; Yang, Jihoon; Choi, Jeong Il
Heliyon.
Nov 2024
10.1016/j.heliyon.2024.e40694
*Introduction* Macrophage-inducible C-type lectin (Mincle) has emerged as a potential contributor to neuropathic pain induction and neuroinflammatory responses within the spinal cord. Moreover, evidence suggests a close association between toll-like receptor (TLR) and Mincle expression in myeloid cells. This study evaluated the effectiveness of Mincle antibodies in neuropathic pain and identified the epitope of these antibodies. In addition, the mode of interaction between Mincle and TLR inhibition was explored using isobolographic analysis. *Methods* Three different Mincle antibodies and a specific TLR4 inhibitor (TAK-242) were intrathecally administered, and mechanical allodynia was evaluated using the von Frey test in a rat model of spinal nerve ligation (SNL). Isobolographic analysis was conducted on the effect of combination of TAK-242 and Mincle Ab. Microarray analysis examined the specific region of Mincle targeted by the antibodies. *Results* All Mincle antibodies and TAK-242 significantly alleviated mechanical allodynia in a dose-dependent manner. However, the maximal possible effects (MPE) produced by the antibodies ranged widely from 37.1% to 91.8%, comparable to that of TAK-242 (88.7%). The combination of TAK-242 and the antibody with the highest MPE resulted in an additive interaction for their anti-allodynic effects. Epitope mapping revealed that each antibody targeted the extracellular domain, with epitope lengths ranging from 5 to 15 amino acids. *Conclusions* The current study demonstrates the anti-allodynic effect of Mincle antibodies and additive interaction with TLR4 inhibition in spinal nerve ligation model, suggesting the potential of blocking of Mincle signaling with its antibodies as a novel treatment strategy for neuropathic pain.

Vaccine-elicited and naturally elicited antibodies differ in their recognition of the HIV-1 fusion peptide

Reveiz, Mateo; Xu, Kai; Lee, Myungjin; Wang, Shuishu; Olia, Adam S.; Harris, Darcy R.; Liu, Kevin; Liu, Tracy; Schaub, Andrew J.; Stephens, Tyler; Wang, Yiran; Zhang, Baoshan; Huang, Rick; Tsybovsky, Yaroslav; Kwong, Peter D.; Rawi, Reda
Front. Immunol..
Nov 2024
10.3389/fimmu.2024.1484029
Broadly neutralizing antibodies have been proposed as templates for HIV-1 vaccine design, but it has been unclear how similar vaccine-elicited antibodies are to their naturally elicited templates. To provide insight, here we compare the recognition of naturally elicited and vaccine-elicited antibodies targeting the HIV-1 fusion peptide, which comprises envelope (Env) residues 512–526, with the most common sequence being AVGIGAVFLGFLGAA. Naturally elicited antibodies bound peptides with substitutions to negatively charged amino acids at residue positions 517–520 substantially better than the most common sequence, despite these substitutions rarely appearing in HIV-1; by contrast, vaccine-elicited antibodies were less tolerant of sequence variation, with no substitution of residues 512–516 showing increased binding. Molecular dynamics analysis and cryo-EM structural analysis of the naturally elicited ACS202 antibody in complex with the HIV-1 Env trimer with an alanine 517 to glutamine substitution suggested enhanced binding to result from electrostatic interactions with positively charged antibody residues. Overall, vaccine-elicited antibodies appeared to be more fully optimized to bind the most common fusion peptide sequence, perhaps reflecting the immunization with fusion peptide of the vaccine-elicited antibodies.

High-resolution mapping of linear epitopes from LiNTPDase2: Advancing leishmaniasis detection using optimized protein and peptide antigens

Castro, Raissa Barbosa De; Badaró De Moraes, João Victor; De Souza, Anna Cláudia Alves; Favarato, Evandro Silva; Voorwald, Fabiana Azevedo; Dos Santos, Fabiane Matos; Bressan, Gustavo Costa; Vasconcellos, Raphael De Souza; Fietto, Juliana Lopes Rangel
Diagnostic Microbiology and Infectious Disease.
Oct 2024
10.1016/j.diagmicrobio.2024.116448
Visceral Leishmaniasis, caused by Leishmania infantum, is a tropical neglected disease and the most dangerous form of Leishmaniasis. It occurs zoonotically, with domestic transmission posing risks to humans as dogs have high susceptibility and are natural reservoirs of the parasite. Given their epidemiological role, improvements are needed in diagnosing Canine Visceral Leishmaniasis (CVL). Thus, we mapped linear epitopes from the rLiNTPDase2 antigen through peptide microarray and identified six positive epitopes. Validation through peptide ELISA revealed three promising peptides with accuracies of 78.6%, 85.92%, and 79.59%. Their combination yielded 97.58% accuracy. Negative epitopes were also found, which interacted with CVL-negative and Chagas Disease positive samples. Their removal from the rLiNTPDase2 sequence resulted in the rNT2.neg, which obtained enhanced specificity over rLiNTPDase2. The rNT2.neg validation achieved 87.50% sensitivity, 90.55% specificity, and 93.5% accuracy within 127 CVL-positive and 96 CVL-negative samples. Therefore, three peptides and rNT2.neg show significant promise for CVL diagnosis.

Identification of Schistosoma haematobium and Schistosoma mansoni linear B-cell epitopes with diagnostic potential using in silico immunoinformatic tools and peptide microarray technology

Vengesai, Arthur; Manuwa, Marble; Midzi, Herald; Mandeya, Masimba; Muleya, Victor; Mujeni, Keith; Chipako, Isaac; Mduluza, Takafira
PLoS Negl Trop Dis.
Aug 2024
10.1371/journal.pntd.0011887
Introduction: Immunoinformatic tools can be used to predict schistosome-specific B-cell epitopes with little sequence identity to human proteins and antigens other than the target. This study reports an approach for identifying schistosome peptides mimicking linear B-cell epitopes using in-silico tools and peptide microarray immunoassay validation. Method: Firstly, a comprehensive literature search was conducted to obtain published schistosome-specific peptides and recombinant proteins with the best overall diagnostic performances. For novel peptides, linear B-cell epitopes were predicted from target recombinant proteins using ABCpred, Bcepred and BepiPred 2.0 in-silico tools. Together with the published peptides, predicted peptides with the highest probability of being B-cell epitopes and the lowest sequence identity with proteins from human and other pathogens were selected. Antibodies against the peptides were measured in sera, using peptide microarray immunoassays. Area under the ROC curve was calculated to assess the overall diagnostic performances of the peptides. Results: Peptide AA81008-19-30 had excellent and acceptable diagnostic performances for discriminating S. mansoni and S. haematobium positives from healthy controls, with AUC values of 0.8043 and 0.7326 respectively for IgG. Peptides MS3_10186-123-131, MS3_10385-339-354, SmSPI-177-193, SmSPI-379-388, MS3-10186-40-49 and SmS-197-214 had acceptable diagnostic performances for discriminating S. mansoni positives from healthy controls with AUC values ranging from 0.7098 to 0.7763 for IgG. Peptides SmSPI-359-372, Smp126160-438-452 and MS3 10186-25-41 had acceptable diagnostic performances for discriminating S. mansoni positives from S. mansoni negatives with AUC values of 0.7124, 0.7156 and 0.7115 respectively for IgG. Peptide MS3-10186-40-49 had an acceptable diagnostic performance for discriminating S. mansoni positives from healthy controls, with an AUC value of 0.7413 for IgM. Conclusion: One peptide with a good diagnostic performance and nine peptides with acceptable diagnostic performances were identified using the immunoinformatic approach and peptide microarray validation. There is need for evaluation of the peptides with true negatives and a good standard positive reference.

Discovery of a novel highly specific, fully human PSCA antibody and its application as an antibody-drug conjugate in prostate cancer

Chu, Xiaojie; Shin, Seungmin; Baek, Du-San; Zhang, Liyong; Conard, Alex; Shi, Megan; Kim, Ye-Jin; Adams, Cynthia; Hines, Maggie; Liu, Xianglei; Chen, Chuan; Sun, Zehua; Jelev, Dontcho V.; Mellors, John W.; Dimitrov, Dimiter S.; Li, Wei
mAbs.
Aug 2024
10.1080/19420862.2024.2387240
Prostate stem cell antigen (PSCA) is expressed in all stages of prostate cancer, including in advanced androgen-independent tumors and bone metastasis. PSCA may associate with prostate carcinogenesis and lineage plasticity in prostate cancer. PSCA is also a promising theranostic marker for a variety of other solid tumors, including pancreatic adenocarcinoma and renal cell carcinoma. Here, we identified a novel fully human PSCA antibody using phage display methodology. The structure-based affinity maturation yielded a high-affinity binder, F12, which is highly specific and does not bind to 6,000 human membrane proteins based on a membrane proteome array assay. F12 targets PSCA amino acids 63–69 as tested by the peptide scanning microarray, and it cross-reacts with the murine PSCA. IgG1 F12 efficiently internalizes into PSCA-expressing tumor cells. The antimitotic reagent monomethyl auristatin E (MMAE)-conjugated IgG1 F12 (ADC, F12-MMAE) exhibits dose-dependent efficacy and specificity in a human prostate cancer PC-3-PSCA xenograft NSG mouse model. This is a first reported ADC based on a fully human PSCA antibody and MMAE that is characterized in a xenograft murine model, which warrants further optimizations and investigations in additional preclinical tumor models, including prostate and other solid tumors.

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