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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.

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.

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.

Automated laser-assisted synthesis of microarrays for infectious disease research

Paris, Grigori; Heidepriem, Jasmin; Tsouka, Alexandra; Mende, Marco; Eickelmann, Stephan; Loeffler, Felix F.
We developed a next-generation method for chemical in–situ combinatorial biomolecule array synthesis. This allows for an unprecedented combinatorial freedom in the automated chemical synthesis of molecule arrays with very high spot densities. Key feature of this new method is an automated positioning and laser transfer process: Small solid material spots are rapidly transferred from a donor film to an acceptor surface, requiring only minute amounts of materials. The transfer is performed with different and easy-to-produce donor slides. Each donor slide bears a thin polymer film, embedding one type of monomer. The coupling reaction occurs in a separate heating step, where the matrix becomes viscous and building blocks can diffuse within the material and couple to the acceptor surface. Since these transferred material spots are only several nanometers thin, this method allows for a consecutive multi-layer material deposition of e.g. activation reagents and amino acids. Subsequent heat-induced mixing facilitates an in–situ activation and coupling of the monomers. Positioning several of such resin spots, containing different chemical reagents, on top of each other, will enable for the first time in such small dimensions unique chemical synthesis strategies for each spot. Amount and concentration of the deposited materials can be adjusted with the laser parameters. Employing similar arrays, we can analyze the human immune response towards the proteome of different pathogens. We screened several peptide array replicas with different patient sera. The screenings resulted in significant hits in several proteins with interesting implications for future diagnostics and vaccine development.

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.

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