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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.

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.

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