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Biology subjects

Vijay, G. M.

Publications and source records attributed to Vijay, G. M..

2 recordsLinked to original sources

PRDM1 shapes germinal center B-cell clonal diversity by gating chromatin accessibility during light-to-dark zone transition

Germinal-center (GC) B-cell responses are defined by many positive regulators of affinity maturation, but few components that restrain clonal dominance, notably Nr4a1, are known. We reveal an unsuspected role for PRDM1 (BLIMP1), a plasma-cell determinant, as a feedback regulator of affinity maturation. Single cell RNA-seq and BCR-seq showed that B- cell-specific Prdm1 loss drives an exaggerated GC reaction with larger clones, increased somatic hypermutation, and greater clonal dominance, independent of Nr4a1. Single cell chromatin profiling with base-resolution modelling indicated that PRDM1 represses expression of BCR-signaling genes and gates chromatin accessibility at ISRE, EICE, NF-{kappa}B, and POU (Oct) motifs. In the absence of PRDM1, enhanced engagement of signaling-inducible transcription factors promotes G1-S transition during light-zone (LZ) selection and fuels dark-zone (DZ) expansion. Thus, PRDM1 attenuates BCR signaling and constrains the LZ[->]DZ transition, fine-tuning clonal competition thereby maintaining repertoire diversity. The chromatin-encoded checkpoint could be leveraged to modulate vaccine responses.

immunology↗

Antibodies targeting conserved non-canonical antigens and endemic coronaviruses associate with favorable outcomes in severe COVID-19

While there have been extensive analyses characterizing cellular and humoral responses across the severity spectrum in COVID-19, predictors of outcomes within severe COVID-19 remain to be comprehensively elucidated. Recently, we identified divergent monocyte states as predictors of outcomes within severe COVID-19, but corresponding humoral profiles of risk have not been delineated. Furthermore, the nature of antibodies (Abs) directed against viral antigens beyond the spike protein or endemic coronavirus antigens and their associations with disease severity and outcomes remain poorly defined. We performed deep molecular profiling of Abs directed against a wide range of antigenic specificities in severe COVID-19 patients admitted to the ICU. The profiles consisted of canonical (S, RBD, N) and non-canonical (orf3a, orf8, nsp3, nps13 and M) antigenic specificities. Notably, multivariate machine learning (ML) models, generated using profiles of Abs directed against canonical or non-canonical antigens, were equally discriminative of recovery and mortality COVID-19 outcomes. In both ML models, survivors were associated with increased virus-specific IgA and IgG3 antibodies and with higher antigen-specific antibody galactosylation. Intriguingly, pre-pandemic healthy controls had cross-reactive Abs directed against nsp13 which is a conserved protein in other alpha and beta coronaviruses. Notably, higher levels of nsp13-specific IgA antibodies were associated with recovery in severe COVID-19. In keeping with these findings, a model built on Ab profiles for endemic coronavirus antigens was also predictive of COVID-19 outcome bifurcation, with higher levels of IgA and IgG3 antibodies against OC43 S and NL63 S being associated with survival. Our results suggest the importance of Abs targeting non-canonical SARS-CoV-2 antigens as well as those directed against endemic coronaviruses in favorable outcomes of severe COVID-19.

immunology↗