Home » Publications

Publications

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

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.

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.

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.

High-Density Peptide Arrays for Malaria Vaccine Development

Loeffler, Felix F.; Pfeil, Johannes; Heiss, Kirsten
The development of an efficacious and practicable vaccine conferring sterile immunity towards a Plasmodium infection represents a not yet achieved goal. A crucial factor for the impact of a given anti-plasmodial subunit vaccine is the identification of the most potent parasitic components required to induce protection from both infection and disease. Here, we present a method based on a novel high-density peptide array technology that allows for a flexible readout of malaria antibodies. Peptide arrays applied as a screening method can be used to identify novel immunogenic antibody epitopes under a large number of potential antigens/peptides. Ultimately, discovered antigen candidates and/or epitope sequences can be translated into vaccine prototype design. The technology can be further utilized to unravel antibody-mediated immune responses (e.g., involved in the establishment of semi-immunity) and moreover to confirm vaccine potency during the process of clinical development by verifying the induced antibody responses following vaccination.

A Novel Combinatorial Approach to High-Density Peptide Arrays

Beyer, Mario; Block, Ines; König, Kai; Nesterov, Alexander; Fernandez, Simon; Felgenhauer, Thomas; Schirwitz, Christopher; Leibe, Klaus; Bischoff, Ralf F.; Breitling, Frank; Stadler, Volker
Combinatorial synthesis of peptides on solid supports (1), either as spots on cellulose membranes (2) or with split-pool-libraries on polymer beads (3), substantially forwarded research in the field of peptide-protein interactions. Admittedly, these concepts have specific limitations, on one hand the number of synthesizable peptide sequences per area, on the other hand elaborate decoding/encoding strategies, false-positive results and sequence limitations. We recently established a method to produce high-density peptide arrays on microelectronic chips (4). Solid amino acid microparticles were charged by friction and transferred to defined pixel electrodes onto the chip’s surface, where they couple to a functional polymer coating simply upon melting (Fig. 16.1 A-D,F). By applying standard Fmoc chemistry according to Merrifield, peptide array densities of up to 40,000 spots per square centimetre were achieved (Fig. 16.1G). The term Merrifield synthesis describes the consecutive linear coupling and deprotecting of L-amino acids modified with base-labile fluorenylmethoxy (Fmoc) groups at the N-terminus and different acid-sensitive protecting groups at their side chains. Removing side chain protecting groups takes place only once at the very end of each synthesis and generates the natural peptide sequence thereby.

Quote form