Biology subjects

Rudd, B. D.

Publications and source records attributed to Rudd, B. D..

5 recordsLinked to original sources

bioRxiv2025

Single-cell multiomics reveals the distinct properties of neonatal and adult recent thymic emigrants

Following thymic egress, CD8+ T cells must undergo a post-thymic maturation process to transition from a recent thymic emigrant (RTE) to a mature naive T cell. Since the neonatal T cell pool is comprised of significantly more RTEs, the prevailing notion is that neonatal CD8+ T cells behave differently than their adult counterparts simply because they have undergone less post-thymic maturation. To test this theory, we leveraged a fate mapping mouse model and paired single cell transcriptome and TCR sequencing to compare neonatal and adult CD8+ RTEs that have undergone the same amount of post-thymic maturation. Interestingly, we found that neonatal and adult CD8+ RTEs exhibit distinct phenotypes, gene expression profiles, TCR usage, and functions. These data suggest that neonatal CD8+ T cells are not simply immature adult CD8+ T cells and that age-related changes in CD8+ T cell functions in early life cannot be attributed solely to differences in the amount of post-thymic maturation.

immunology↗

bioRxiv2025

Recent thymic emigrants are preferentially recruited into the memory pool during persistent infection

Cytomegalovirus (CMV) leads to a unique phenomenon known as memory inflation, where antigen-specific memory CD8+ T cells continue to accumulate in the peripheral tissues during the latent stage of infection. However, it is still not clear how the inflating pool of memory CD8+ T cells is generated and maintained. In this study, we used murine cytomegalovirus (MCMV) as a model of persistent infection and fate-mapping mice to determine the dynamics of CD8+ T cell recruitment into the memory pool. We found that neonatal exposure to CMV leads to an expansion of newly made CD8+ T cells (recent thymic emigrants, RTEs), which are maintained in the long-lived memory compartment. In contrast, CD8+ T cells made during the latent phase of infection (mature CD8+ T cells) contribute little to the memory pool. We also observed notable phenotypic differences between RTEs and mature cells. Whereas RTEs present at the time of infection gave rise to more effector memory cells, the cells produced later in infection were biased towards becoming central memory cells. Importantly, the preferential recruitment of RTEs into the effector memory pool also occurs during adult exposure to CMV. Collectively, these data demonstrate that persistent infection expands the RTE population, and timing of infection dictates whether neonatal or adult RTEs are locked in to the memory pool. Author SummaryFollowing infection with CMV, CD8+ T cells accumulate in the blood and peripheral organs over time, a feature termed memory inflation. However, it is not clear whether memory inflation is due to the continuous recruitment of cells made during the latent stage of infection or expansion of CD8+ T cells that were present at the time of infection. To address this question, we used a fate-mapping mouse model and examined the recruitment of CD8+ T cells that were produced during different stages of infection. Surprisingly, we discovered that CD8+ T cells exported from the thymus just prior to infection are preferentially recruited and maintained in the memory pool. In contrast, CD8+ T cells made during the latent stage contribute minimally to the inflating pool and exhibit a less differentiated phenotype. These results provide a new conceptual framework for understanding how the memory pool is generated and maintained after persistent viral infection.

immunology↗

bioRxiv2025

A Temporal and Spatial Atlas of Adaptive Immune Responses in the Lymph Node Following Viral Infection

The spatial organization of adaptive immune cells within lymph nodes is critical for understanding immune responses during infection and disease. Here, we introduce AIR-SPACE, an integrative approach that combines high-resolution spatial transcriptomics with paired, high-fidelity long-read sequencing of T and B cell receptors. This method enables the simultaneous analysis of cellular transcriptomes and adaptive immune receptor (AIR) repertoires within their native spatial context. We applied AIR-SPACE to mouse popliteal lymph nodes at five distinct time points after Vaccinia virus footpad infection and constructed a comprehensive map of the developing adaptive immune response. Our analysis revealed heterogeneous activation niches, characterized by Interferon-gamma (IFN-{gamma}) production, during the early stages of infection. At later stages, we delineated sub-anatomical structures within the germinal center (GC) and observed evidence that antibody-producing plasma cells differentiate and exit the GC through the dark zone. Furthermore, by combining clonotype data with spatial lineage tracing, we demonstrate that B cell clones are shared among multiple GCs within the same lymph node, reinforcing the concept of a dynamic, interconnected network of GCs. Overall, our study demonstrates how AIR-SPACE can be used to gain insight into the spatial dynamics of infection responses within lymphoid organs.

immunology↗

bioRxiv2024

Deciphering gene regulatory programs underlying functionally divergent naive T cell subsets

Naive CD8+ T cells are a heterogeneous population, with different subsets possessing distinct functions and kinetics upon activation. However, the gene regulatory circuits differentiating these naive subsets are not well studied. In this work, we analyzed a large collection of public and newly generated RNA-seq and ATAC-seq profiles of different subsets of naive CD8+ T cells, revealing significant differences in the gene regulatory landscapes between subsets. We leveraged these data by employing a network inference algorithm, Inferelator, to identify the transcriptional regulatory circuits active in each subset. The predicted transcriptional network of the naive CD8+ T cell pool was validated by multiple orthogonal approaches, including CUT&Tag and Micro-C. Interestingly, our network analysis revealed a novel role for Eomes in promoting effector cell differentiation in specific cell subsets. Moreover, we uncovered multiple novel regulators across a variety of subsets and discovered several modules of genes that were co-regulated by shared sets of transcription factors in distinct subsets. Collectively, our data defines the gene regulatory programs differentiating naive CD8+ T cells and facilitates the identification of novel transcription factors that may alter the propensity of naive CD8+ T cells to become effector or memory cells after infection.

systems biology↗

bioRxiv2024

Gene Regulatory Programs that Specify Age-Related Differences during Thymocyte Development

T cell development is fundamental to immune system establishment, yet how this development changes with age remains poorly understood. Here, we construct a transcriptional and epigenetic atlas of T cell developmental programs in neonatal and adult mice, revealing the ontogeny of divergent gene regulatory programs and their link to age-related differences in phenotype and function. Specifically, we identify a gene module that diverges with age from the earliest stages of genesis and includes programs that govern effector response and cell cycle regulation. Moreover, we reveal that neonates possess more accessible chromatin during early thymocyte development, likely establishing poised gene expression programs that manifest later in thymocyte development. Finally, we leverage this atlas, employing a CRISPR-based perturbation approach coupled with single-cell RNA sequencing as a readout to uncover a conserved transcriptional regulator, Zbtb20, that contributes to age-dependent differences in T cell development. Altogether, our study defines transcriptional and epigenetic programs that regulate age-specific differences in T cell development.

genomics↗