Garcia-Vallejo, J. J. | Search bioRxiv

bioRxiv2023

Deep profiling of antigen-specific B cells from different pathogens identifies novel compartments in the IgG memory B cell and antibody-secreting cell lineages

A better understanding of the bifurcation of human B cell differentiation into memory B cells (MBC) and antibody-secreting cells (ASC) and identification of MBC and ASC precursors is crucial to optimize vaccination strategies or block undesired antibody responses. To unravel the dynamics of antigen-induced B cell responses, we compared circulating B cells reactive to SARS-CoV-2 (Spike, RBD and Nucleocapsid) in COVID-19 convalescent individuals to B cells specific to Influenza-HA, RSV-F and TT, induced much longer ago. High-dimensional spectral flow cytometry indicated that the decision point between ASC- and MBC-formation lies in the CD43+CD71+IgG+ Activated B cell compartment, showing properties indicative of recent germinal center activity and recent antigen encounter. Within this Activated B cells compartment, CD86+ B cells exhibited close phenotypical similarity with ASC, while CD86- B cells were closely related to IgG+ MBCs. Additionally, different activation stages of the IgG+ MBC compartment could be further elucidated. The expression of CD73 and CD24, regulators of survival and cellular metabolic quiescence, discerned activated MBCs from resting MBCs. Activated MBCs (CD73-CD24lo) exhibited phenotypical similarities with CD86- IgG+ Activated B cells and were restricted to SARS-CoV-2 specificities, contrasting with the resting MBC compartment (CD73-/CD24hi) that exclusively encompassed antigen-specific B cells established long ago. Overall, these findings identify novel stages for IgG+ MBC and ASC formation and bring us closer in defining the decision point for MBC or ASC differentiation. ImportanceIn this study, researchers aimed to better understand human B cell differentiation and their role in establishing long-lived humoral immunity. Using high-dimensional flow cytometry, they studied B cells reactive to three SARS-CoV-2 antigens in individuals convalescent for COVID-19, and compared their phenotypes to B cells reactive to three distinct protein antigens derived from vaccines or viruses encountered months to decades before. Their findings showed that Activated B cells reflect recent germinal center graduates that may have diverse fates; with some feeding the pool of antibody-secreting cells and others fueling the resting memory B cell compartment. Activated B cells gradually differentiate into resting memory B cells through an activated MBC phase. Increased expression of the cellular metabolic regulators CD73 and CD24 in resting memory B cells distinguishes them from the activated memory B cells phase, and is likely involved in sustaining a durable memory of humoral immunity. These findings are crucial for the development of vaccines that provide lifelong protection and may show potential to define reactive B cells in diseases where the cognate-antigen is still unknown such as in autoimmunity, cancers, or novel viral outbreaks.

immunology↗

bioRxiv2022

The transcriptional landscape of glycosylation-related genes in cancer

Changes in glycosylation patterns have been associated with malignant transformation and clinical outcome in several types of cancer, although no comprehensive analysis has been performed in a pan-cancer setting. Here, we performed an extensive transcriptomic analysis of glycosylation related genes (such as enzymes involved in synthesis and degradation of glycoconjugates, transporters, mucins and galectins), using publicly available bulk and single cell transcriptomic data sets from tumor samples and cancer cell lines. We identified genes and pathways associated with different tumor types, which may represent novel diagnostic biomarkers as 2-3 sialylation for Melanoma, MUC21 for Lung adenocarcinoma and Galectin-7 for Squamous cell carcinomas (SCC). Accordingly, serum levels of Galectin-7 in patients with lung cancer were elevated in SCC respect to adenocarcinomas, supporting its biomarker potential. Moreover, we characterized the contribution of different cell types to the overall glycosylation profiles observed by performing the integration and analysis of 14 single cell RNA-seq datasets. This led us to identify that cancer cells are responsible for the specific tumor glyco-codes identified in bulk transcriptomics, while stromal and immune cells contribute in a conserved manner across various malignancies. Furthermore, our results suggest that the glycosylation-related genes and pathways expressed by cancer cells are influenced by the cell of origin and the oncogenic pathways that led to malignant transformation. Lastly, we described the association of different glycosylation-related genes and pathways with the clinical outcome of patients. Interestingly, while the expression of genes associated to some pathways (as proteoglycan biosynthesis) are consistently associated with a more aggressive disease, the correlation of others pathways with the survival of patients depends on the particular tumor type. Remarkably, the expression of genes associated with the synthesis of CMP-sialic acid was correlated with lower survival of patients in Uveal Melanoma and PDAC, while the opposite was observed for colorectal cancer. The extensive transcriptomic analysis of glycosylation pathways in cancer that we report here can serve as a resource for future research aimed to unravel the glyco-code in cancer related to clinical outcome or biomarker development.

cancer biology↗