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

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Systematic analysis of the RGS2 degron reveals characteristics of substrate recognition by the F-box protein FBXO44

McNabb, Harrison J.; Cho, Eugene; Pitman, Mary; Rushton, Phillip S.; Mobley, David; Sjögren, Benita
Journal of Biological Chemistry.
Nov 2025
10.1016/j.jbc.2025.110757
Regulator of G protein signaling 2 (RGS2) negatively modulates signaling downstream of G protein–coupled receptors by accelerating GTP hydrolysis at Gα subunits of heterotrimeric G proteins. Decreased RGS2 levels are implicated in numerous diseases, including cardiovascular disease and asthma. Thus, identifying selective means of enhancing RGS2 protein levels would be a viable therapeutic strategy. RGS2 is rapidly degraded through the ubiquitin–proteasomal pathway, and we previously identified F-box only protein 44 (FBXO44) as the substrate recognition component of the E3 ligase responsible for facilitating RGS2 degradation. As such, the RGS2–FBXO44 interaction is a potential target for pharmacological intervention. Detailed information on the FBXO44 recognition site (degron) in RGS2 will aid in structure-based small-molecule inhibitor design, as well as in identifying additional FBXO44 targets, which would help predict possible side effects of targeting this interaction. Thus, the goal of this study was to dissect the molecular properties for FBXO44 binding of the RGS2 degron. We used a peptide array utilizing systematic residue substitution, combined with AlphaFold modeling and molecular dynamics simulations, to identify several amino acid changes that altered binding both positively and negatively. Finally, we experimentally confirmed our results in cells through coimmunoprecipitation and proteasomal inhibition, using full-length RGS2. Altogether, these results provide structural insights into RGS2–FBXO44 binding, which will aid in structure-guided drug discovery efforts. It also provides a framework for building a consensus recognition motif for FBXO44, which could aid in identifying more substrates for this understudied F-box protein.

Severity-dependent IgG epitope profiling in COVID-19 reveals differential recognition of pathogen-derived antigens

Do Nascimento, Lais Alves; Machado, NicolleRakanidis; Borges, João Vitor Da Silva; Fagundes, Beatriz Oliveira; Bergamasco, Isabella Siuffi; Sgnotto, Fabio Da Ressureição; Bachi, André Luis Lacerda; Sato, Maria Notomi; Victor, Jefferson Russo
Front. Immunol..
Sep 2025
10.3389/fimmu.2025.1668223
Background The contribution of antibody-mediated responses to COVID – 19 outcomes remains unclear, particularly regarding cross-reactivity with unrelated pathogens. While co-infections are known to influence disease progression, the broader landscape of IgG reactivity during SARS-CoV-2 infection has not been systematically explored. Methods We employed a high-density peptide microarray containing 4,344 linear epitopes from 37 viruses, 27 bacteria, 17 parasites, and 8 fungi to characterize serum IgG repertoires from individuals with moderate (n = 39) or severe (n = 40) COVID – 19. Controls included pre-pandemic healthy donors and a pooled intravenous immunoglobulin (IVIg) formulation. Data analysis included intensity ranking, epitope mapping, and comparative analysis of mean signal intensities for each epitope between the COVID-Mod and COVID-Sev groups. Results COVID – 19 patients showed widespread IgG reactivity against diverse pathogens, with patterns differing by disease severity. Severe cases displayed broader and more intense reactivity, notably against hepatitis C virus (HCV), SARS-CoV-1, influenza A, Mycobacterium tuberculosis, and Plasmodium falciparum. Moderate cases showed preferential recognition of epitopes from HTLV-I, Neisseria meningitidis, and Trypanosoma cruzi. These findings suggest that SARS-CoV-2 infection modulates pre-existing humoral memory, possibly through epitope spreading or immune reprogramming. Conclusions SARS-CoV-2 infection reshapes the IgG epitope repertoire in a severity-dependent manner, extending to antigens from unrelated pathogens. This phenomenon may reflect underlying immune dysregulation or idiotype-driven interactions. Comprehensive profiling of pathogen-related IgG responses may reveal potential biomarkers of disease severity. This phenomenon may inform future investigations aimed at improving personalized management strategies for co-infected or immunocompromised patients.

Identification of Tripeptide Modulators of ACE2 Activity Using a High Throughput Screen (Abstract ID: 165381)

Walker, David F.; Karamyan, Vardan T.
The Journal of Pharmacology and Experimental Therapeutics.
Mar 2025
10.1016/j.jpet.2024.100697
Angiotensin converting enzyme 2 (ACE2) works in the renin angiotensin aldosterone system to decrease circulating levels of angiotensin II by removing the C-terminal phenylalanine and converting it to angiotensin (1-7). In addition, ACE2 has received increased interest in research due to its role in COVID-19 pathogenesis, as the binding site and cell entry gate for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). While ACE2 inhibitors have been primarily used as pharmacological tools to study the renin-angiotensin system, small molecule ACE2 enhancers (aka activators) are highly desired because of their hypothesized therapeutic potential. This study was designed to identify peptide-based enhancers of ACE2. First, binding of human recombinant ACE2 to all possible tripeptides composed of the 20 proteinogenic amino acids, was evaluated using a proprietary immunofluorescence-based peptide microarray. Binding of 6xHis-tagged ACE2 to the 8000 tripeptides immobilized on a microchip was evaluated at 10 µg/ml and 100 µg/ml concentrations of the peptidase using a DyLight680-conjugated anti-6xHis-tag antibody. Hemagglutinin (HA) immobilized on the microchip served as a positive control peptide in the microarray and it was tracked using a DyLight800-conjugated anti-HA antibody. The read-out was performed with an Innopsys InnoScan 710-IR Microarray Scanner at scanning gains of 50/10 (red/green). In the result of the microarray a number of tripeptides were identified as potential ACE2 binders. Among them, 22 tripeptides were selected to represent several the most pronounced binders as well as a number of structurally similar tripeptides that did not show appreciable binding to ACE2 to serve as negative control. The effect of the selected peptides (at 1, 10 and 100 µM) on activity of human recombinant ACE2 was tested in a continuous enzymatic assay using a fluorogenic substrate. Contrary to our expectation, none of the peptides affected the activity of ACE2 in a significant manner. These results suggest that the selected peptides do not alter activity of ACE2, but they do not exclude the possibility that some of the peptides may still bind to the peptidase. Our subsequent experiments will apply differential scanning fluorometry (DSF) to determine whether these peptides physically interact with recombinant ACE2.

A tumor-binding antibody with cross-reactivity to viral antigens

Campa, Michael J.; Gottlin, Elizabeth B.; Wiehe, Kevin; Patz, Edward F.
Cancer Immunol Immunother.
Feb 2025
10.1007/s00262-025-03975-8
**Background** We previously identified in non-small cell lung cancer (NSCLC) patients an autoantibody to complement factor H (CFH) that is associated with non-metastatic disease and longer time to progression in patients with stage I disease. A recombinant human antibody, GT103, was cloned from single B cells isolated from patients with the autoantibody. GT103 inhibits tumor growth and establishes an antitumor microenvironment. The anti-CFH autoantibody and GT103 recognize the epitope PIDNGDIT within the SCR19 domain of CFH. Here, we asked if this autoantibody could have originally arisen as a humoral response to a similar epitope in a viral protein from a prior infection. **Methods** Homologous viral peptides with high sequence identity to the core PIDNGDIT epitope sequence were identified and synthesized. NSCLC patient plasma containing anti-CFH autoantibodies were assayed by ELISA against these peptides. GT103 was assayed on a 4345-peptide pathogen microarray. **Results** Epitopes similar to the GT103 epitope are present in several viruses, including human metapneumovirus-1 (HMPV-1) that contains a sequence within attachment glycoprotein G that differs by one amino acid. Anti-CFH autoantibodies in NSCLC patient plasma weakly bound to an HMPV-1 peptide containing the epitope. GT103 cross-reacted with multiple viral epitopes on a peptide microarray, with the top hits being peptides in the human endogenous retrovirus-K polymerase (HERV-K pol) protein and measles hemagglutinin glycoprotein. GT103 bound the viral HMPV-1, HERV-K pol, and measles epitope peptides but with lower affinity compared to the GT103 epitope peptide. **Conclusion** These findings suggest that memory B cells against a viral target could have affinity matured to produce an antibody that recognizes a similar epitope on tumor cells and exhibits antitumor properties.

Investigation of Immunoreactivity Profiles and Epitope Landscape in Divergent COVID-19 Trajectories and SARS-CoV-2 Variants

Bihani, Surbhi; Ray, Arka; Borishetty, Dhanush; Tuckley, Chaitanya; Salkar, Akanksha; Acharjee, Arup; Shrivastav, Prithviraj; Shrivastav, Om; Shastri, Jayanthi; Agrawal, Sachee; Duttagupta, Siddhartha; Srivastava, Sanjeeva
J. Proteome Res..
Jan 2025
10.1021/acs.jproteome.4c00791
This study aimed to elucidate the complexity of the humoral immune response in COVID-19 patients with varying disease trajectories using a SARS-CoV-2 whole proteome peptide microarray chip. The microarray, containing 5347 peptides spanning the entire SARS-CoV-2 proteome and key variants of concern, was used to analyze IgG responses in 10 severe-to-recovered, 9 nonsevere-to-severe cases, and 10 control case (5 pre-pandemic and 5 SARS-CoV-2-negative) plasma samples. We identified 1151 IgG-reactive peptides corresponding to 647 epitopes, with 207 peptides being cross-reactive across 124 epitopes. Nonstructural protein 3 (nsp3) exhibited the highest number of total and unique epitopes, followed by the spike protein. nsp12 had the most number of cross-reactive epitopes. Peptides from the spike protein and nsps 2, 3, 5, and 13 were notably associated with recovery. Additionally, specific mutations in SARS-CoV-2 variants were found to alter peptide immunoreactivity, with some mutations (e.g., G142D, L452R, and N501Y) enhancing and others (e.g., R190S and E484 K) reducing immune recognition. These findings have critical implications for the development of diagnostics, vaccines, and therapeutics. Understanding the distribution of epitopes and the impact of viral mutations on antigenicity provides insights into immune evasion mechanisms, informing strategies for controlling COVID-19 and future coronavirus outbreaks.

High-throughput identification of immunoreactive peptides and corresponding proteins from Anaplasma platys and Ehrlichia canis using peptide microarray chips

Llanes, Alejandro; Madesh, Swetha; Brangulis, Kalvis; Rajeev, Sreekumari
Front Cell Infect Microbiol.
Jan 2025
10.3389/fcimb.2025.1671309
INTRODUCTION: Anaplasma platys and Ehrlichia canis are rickettsial pathogens infecting dogs, with a worldwide distribution. Both species are obligate intracellular pathogens and colonize bone marrow-derived cells, with coinfections frequently reported in dogs. Although E. canis immunodominant proteins have been thoroughly characterized, very few high-throughput studies have been conducted to identify immunogenic proteins from Anaplasma spp. In this study, we used a methodology based on peptide microarray chips to identify immunoreactive peptides, either shared or species-specific, in the complete theoretical proteomes of both pathogens. METHODS: B-cell epitopes were predicted in the corresponding proteins from both species and ranked for synthesis on the peptide microarrays. These microarrays were screened with serum samples from antibody-positive dogs, as well as negative control sera from unexposed dogs. Additionally, we assessed the feasibility of integrating evidence gathered at the level of individual peptides to identify potentially immunogenic proteins contributing to the patterns of immunoreactivity observed on microarrays. RESULTS: Screening of peptide microarrays resulted in complex antibody reactivity patterns against thousands of peptides. After discarding peptides with cross-reactivity to negative control sera, we identified over 1,200 immunoreactive peptides, including ~80 peptides shared between the two species with almost identical sequences. Despite screening linear peptides, we were able to identify proteins previously reported as immunodominant in E. canis, some of which contain predominantly conformational epitopes. DISCUSSION: Our results suggest that a high-throughput strategy based on peptide microarrays is an effective approach for the rapid identification of immunoreactive peptides and the underlying immunogenic proteins. This study provides a foundation for developing novel diagnostic tools and vaccine candidates against A. platys and E. canis, including potential combined or multivalent formulations targeting both pathogens.

Spot peptide arrays and SPR measurements: throughput and quantification in antibody selectivity studies: Peptide Arrays for Antibody Selectivity Studies

Vernet, Thierry; Choulier, Laurence; Nominé, Yves; Bellard, Laure; Baltzinger, Mireille; Travé, Gilles; Altschuh, Danièle
J. Mol. Recognit..
Oct 2015
10.1002/jmr.2477
Antibody selectivity represents a major issue in the development of efficient immuno-therapeutics and detection assays. Its description requires a comparison of the affinities of the antibody for a significant number of antigen variants. In the case of peptide antigens, this task can now be addressed to a significant level of details owing to improvements in spot peptide array technologies. They allow the high-throughput mutational analysis of peptides with, depending on assay design, an evaluation of binding stabilities. Here, we examine the cross-reactive capacity of an antibody fragment using the PEPperCHIP® technology platform (PEPperPRINT GmbH, Heidelberg, Germany; >8800 peptides per microarray) combined with the surface plasmon resonance characterization (Biacore® technology; GE-Healthcare Biacore, Uppsala, Sweden) of a subset of interactions. ScFv1F4 recognizes the N-terminal end of oncoprotein E6 of human papilloma virus 16. The spot permutation analysis (i.e. each position substituted by all amino acids except cysteine) of the wild type decapeptide (sequence 6TAMFQDPQER15) and of 15 variants thereof defined the optimal epitope and provided a ranking for variant recognition. The SPR affinity measurements mostly validated the ranking of complex stabilities deduced from array data and defined the sensitivity of spot fluorescence intensities, bringing further insight into the conditions for cross-reactivity. Our data demonstrate the importance of throughput and quantification in the assessment of antibody selectivity.

Monoclonal antibodies to HLA-E bind epitopes carried by unfolded β 2 m-free heavy chains: Molecular immunology

Tremante, Elisa; Lo Monaco, Elisa; Ingegnere, Tiziano; Sampaoli, Camilla; Fraioli, Rocco; Giacomini, Patrizio
Eur. J. Immunol..
Aug 2015
10.1002/eji.201545446
Since HLA-E heavy chains accumulate free of their light β2-microglobulin (β2m) subunit, raising mAbs to folded HLA-E heterodimers has been difficult, and mAb characterization has been controversial. Herein, mAb W6/32 and 5 HLA-E-restricted mAbs (MEM-E/02, MEM-E/07, MEM-E/08, DT9, and 3D12) were tested on denatured, acid-treated, and natively folded (both β2m-associated and β2m-free) HLA-E molecules. Four distinct conformations were detected, including unusual, partially folded (and yet β2m-free) heavy chains reactive with mAb DT9. In contrast with previous studies, epitope mapping and substitution scan on thousands of overlapping peptides printed on microchips revealed that mAbs MEM-E/02, MEM-E/07, and MEM-E/08 bind three distinct α1 and α2 domain epitopes. All three epitopes are linear since they span just 4–6 residues and are “hidden” in folded HLA-E heterodimers. They contain at least one HLA-E-specific residue that cannot be replaced by single substitutions with polymorphic HLA-A, HLA-B, HLA-C, HLA-F, and HLA-G residues. Finally, also the MEM-E/02 and 3D12 epitopes are spatially distinct. In summary, HLA-E-specific residues are dominantly immunogenic, but only when heavy chains are locally unfolded. Consequently, the available mAbs fail to selectively bind conformed HLA-E heterodimers, and HLA-E expression may have been inaccurately assessed in some previous oncology, reproductive immunology, virology, and transplantation studies.

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