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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.

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.

Peptide Arrays with a Chip

Nesterov, Alexander; Dörsam, Edgar; Cheng, Yun-Chien; Schirwitz, Christopher; Märkle, Frieder; Löffler, Felix; König, Kai; Stadler, Volker; Bischoff, Ralf; Breitling, Frank
Today, lithographic methods enable combinatorial synthesis of >50,000 oligonucleotides per cm2, an advance that has revolutionized the whole field of genomics. A similar development is expected for the field of proteomics, provided that affordable, very high-density peptide arrays are available. However, peptide arrays lag behind oligonucleotide arrays. This is mainly due to the monomer-by-monomer repeated consecutive coupling of 20 different amino acids associated with lithography, which adds up to an excessive number of coupling cycles. A combinatorial synthesis based on electrically charged solid amino acid particles resolves this problem. A computer chip consecutively addresses the different charged particles to a solid support, where, when completed, the whole layer of solid amino acid particles is melted at once. This frees hitherto immobilized amino acids to couple all 20 different amino acids in one single coupling reaction to the support. The method should allow for the translation of entire genomes into a set of overlapping peptides to be used in proteome research.

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