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King, C. G.

Publications and source records attributed to King, C. G..

9 recordsLinked to original sources

Comparative analysis of BCG vaccination routes in mice reveals preferential reprogramming of pulmonary macrophages upon mucosal administration.

Bacille Calmette-Guerin (BCG) is the only licensed vaccine against tuberculosis (TB) but provides inconsistent protection against disease. Studies in non-human primates show that intravenous BCG confers superior protection compared to intradermal vaccination, yet how different vaccination routes reprogram lung immunity in mice - the primary model for mechanistic studies - remains incompletely defined at single cell or spatial resolution. Moreover, while lung macrophages are key effectors during Mycobacterium tuberculosis infection, most studies have focused on alveolar macrophages, leaving interstitial macrophage responses to vaccination largely unexplored. Here, we define the cellular and spatial immune landscape shaped by three BCG vaccination routes in mice using flow cytometry, single-cell RNA sequencing, and spatial transcriptomics. Comparing intratracheal (IT), intravenous (IV), and subcutaneous (SC) vaccination, we demonstrate that mucosal IT delivery uniquely reprograms interstitial macrophages, establishes spatially organized immune hubs with CD4 T cells, and provides superior protection against infectious challenge. These findings identify IM as key mediators of mucosal vaccine-induced protection and provide a framework for the rational optimization of vaccines against respiratory pathogens.

immunology↗

Access to germinal center IL-4 microniches drives tissue-divergence of IgE memoryresponses

Immunoglobulin E (IgE) drives allergic disease, yet how memory B cells (MBCs) reactivate to produce IgE, and how tissue localization shapes recall responses, remains unclear. Using mouse models of airborne exposure to house dust mites and Alternaria, we found that allergen sensitization generates lymphoid- and lung-resident MBCs. Upon allergen re-exposure, these populations followed distinct differentiation trajectories: lymph node MBCs engaged a germinal center (GC)-dependent pathway that generated both IgG1 and IgE plasma cells (PCs), whereas lung MBCs followed a GC-independent route producing mainly IgG1 PCs. GC re-entry granted MBCs access to an IL-4-rich microniche formed by Tfh cells, which was essential for IgE production. Disrupting GC re-entry, IL-4 signaling, or Tfh-derived IL-4 during recall markedly reduced allergen-specific IgE titers. These findings reveal a spatially and cytokine-restricted mechanism that confines IgE memory to lymphoid organs, positioning GC IL-4 microniches as anatomical safeguards against IgE production at barrier sites frequently exposed to environmental antigens.

immunology↗

HIF-1α+ CD4 T cells coordinate a tissue resident immune cell network in the lung

A deeper understanding of how tissue localized immune cells arise and function is critical for developing mucosal vaccines. Currently, there are no murine models that specifically target tissue T cells while leaving their lymphoid counterparts untouched. Here we leverage the observation that during influenza infection, HIF-1 regulatory activity is higher in the lung compared to lymph node CD4 T cells. Inducible deletion of Hif1a in CD4 T cells, at the onset of its activity in the lung, reduces the tissue resident T cell compartment with minimal impact on peripheral immunity. HIF-1-active CD4 T cells occupy the border of tertiary lymphoid structures, where they coordinate an IL-21-dependent network of spatially co-localized immune cells including macrophages, NK cells and IgA+ B cells. A similar HIF-1-dependent network is engaged in a lung adenocarcinoma model, highlighting a broader role for HIF-1+ CD4 T cells in integrating protective immunity during infection and cancer.

immunology↗

Global and gene-specific translational regulation in Escherichia coli across different conditions

How well mRNA transcript levels represent protein abundances has been a controversial issue. Particularly across different environments, correlations between mRNA and protein exhibit remarkable variability from gene to gene. Translational regulation is likely to be one of the key factors contributing to mismatches between mRNA level and protein abundance in bacteria. Here, we quantified genome-wide transcriptome and relative translation efficiency (RTE) under 12 different conditions in Escherichia coli. By quantifying the mRNA-RTE correlation both across genes and across conditions, we uncovered a diversity of gene-specific translational regulations, cooperating with transcriptional regulations, in response to carbon (C), nitrogen (N), and phosphate (P) limitations. Intriguingly, we found that many genes regulating translation are themselves subject to translational regulation, suggesting possible feedbacks. Furthermore, a random forest model suggests that codon usage partially predicts a genes cross-condition variability in translation efficiency; such cross-condition variability tends to be an inherent quality of a gene, independent of the specific nutrient limitations. These findings broaden the understanding of translational regulation under different environments, and provide novel strategies for the control of translation in synthetic biology.

genomics↗

Opposing effects of T cell receptor signal strength on CD4 T cells responding to acute versus chronic viral infection

A hallmark of the adaptive immune response is the ability of CD4 T cells to differentiate into a variety of pathogen appropriate and specialized effector subsets. A long-standing question in CD4 T cell biology is whether the strength of TCR signals can instruct one Th cell fate over another. The contribution of TCR signal strength to the development of Th1 and T follicular helper (Tfh) cells has been particularly difficult to resolve, with conflicting results reported in a variety of models. Although cumulative TCR signal strength can be modulated by the infection specific environment, whether or not TCR signal strength plays a dominant role in Th1 versus Tfh cell fate decisions across distinct infectious contexts is not known. Here we characterized the differentiation of CD4 TCR transgenic T cells responding to a panel of recombinant wild type or altered peptide ligand lymphocytic choriomeningitis viruses (LCMV) derived from acute and chronic parental strains. We found that while TCR signal strength positively regulates T cell expansion in both infection settings, it exerts opposite and hierarchical effects on the balance of Th1 and Tfh cells generated in response to acute versus persistent infection. The observation that weakly activated T cells, which comprise up to fifty percent of an endogenous CD4 T cell response, support the development of Th1 effectors highlights the possibility that they may resist functional inactivation during chronic infection. We anticipate that the panel of variant ligands and recombinant viruses described herein will be a valuable tool for immunologists investigating a wide range of CD4 T cell responses. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=192 SRC="FIGDIR/small/236497v2_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@1fdb592org.highwire.dtl.DTLVardef@19bc5e3org.highwire.dtl.DTLVardef@1dcf03forg.highwire.dtl.DTLVardef@20f27f_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIIdentification of a wide panel of altered peptide ligands for the LCMV-derived GP61 peptide C_LIO_LIGeneration of LCMV variant strains to examine the impact of TCR signal strength on CD4 T cells responding during acute and chronic viral infection C_LIO_LIThe relationship between TCR signal strength and Th1 differentiation shifts according to the infection context: TCR signal strength correlates positively with Th1 generation during acute infection but negatively during chronic infection. C_LI

immunology↗

Redefining CD4 T cell residency: Helper T cells orchestrate protective humoral immunity in the lung

Influenza is a severe and acute respiratory pathogen, and a significant cause for morbidity, particularly in young children and the elderly. Following influenza infection, clonally expanded T cells take up permanent residence in the lung where they are poised to rapidly respond to challenge infection. The non-circulating status of these tissue resident memory (TRM) cells makes them an attractive target for vaccination. While many studies have characterized CD8 TRM cells, less is known about the heterogeneity and protective capacity of CD4 TRM cells. Here we characterized the dynamics and transcriptional regulation of lung resident CD4 T cells to define a non-lymphoid signature that removes the bias created by the prevalence of Th1 helper cells during viral infection. We identified a novel population of long-lived T resident helper (TRH) cells that requires intrinsic Bcl6 expression for their differentiation. Although TRH cells also depend on B cells, they are generated independently of T follicular helper effector cells in the lymph node. In contrast to lung resident Th1 cells, TRH cells are tightly co-localized with B cells in inducible Bronchus Associated Lymphoid Tissue (iBALT). Deletion of Bcl6 in CD4 T cells prior to heterotypic challenge infection results in redistribution of CD4 T cells outside of iBALT areas and impaired local antibody production. These data highlight lung iBALT as a niche for the homeostasis and survival of TRH cells, and further suggest that vaccination strategies to selectively induce TRH cells can improve protective immunity in the tissue.

immunology↗

Persistence and plasticity of T follicular memory cells

CD4 memory T cells play an important role in protective immunity and are a key target in vaccine development. Many studies have focused on T central memory (TCM) cells, while the existence and functional significance of T follicular helper (TFH) memory cells is controversial. Here we show that TFH memory cells are highly susceptible to NAD induced cell death (NICD) during isolation from tissues, leading to their under-representation in prior studies. NICD blockade reveals the persistence of abundant TFH memory cells, with high expression of hallmark TFH markers, that persist to at least 400 days after infection, by which time TCM cells are no longer found. Using single cell RNA-seq we demonstrate that TFH memory cells are transcriptionally distinct from TCM cells, maintain stemness and self-renewal gene expression, and, in contrast to TCM cells, are multipotent following recall. Surprisingly, TFH memory cells concurrently express a distinct glycolytic signature similar to trained immune cells, including elevated expression of mTOR, HIF-1 and cAMP regulated genes. Late disruption of glycolysis/ICOS signaling leads to TFH memory cell depletion concomitant with decreased splenic plasma cells and circulating antibody titers, demonstrating both unique homeostatic regulation of memory TFH and their sustained function during the memory phase of the immune response. These results highlight the metabolic heterogeneity underlying distinct memory T cell subsets and establish TFH memory cells as an attractive target for the induction of long-lived adaptive immunity.\n\nHIGHLIGHTSO_LICell death during isolation from the tissue prevents the full recovery of TFH memory cells\nC_LIO_LITFH memory cells are transcriptionally distinct from TCM cells and maintain a broader recall capacity\nC_LIO_LITFH memory cells are maintained in the absence of antigen but require ICOS signaling and glycolysis\nC_LIO_LITFH memory cells support late phase antibody production by splenic plasma cells\nC_LI

immunology↗

Modeling microbial diversity with metabolic trade-offs

Microbes face intense competition in the natural world, and so need to wisely allocate their resources to multiple functions, in particular to metabolism. Understanding competition among metabolic strategies that are subject to trade-offs is therefore crucial for deeper insight into the competition, cooperation, and community assembly of microorganisms. In this work, we evaluate competing metabolic strategies within an ecological context by considering not only how the environment influences cell growth, but also how microbes shape their chemical environment. Utilizing chemostat-based resource-competition models, we exhibit a set of intuitive and general procedures for assessing metabolic strategies. Using this framework, we are able to relate and unify multiple metabolic models, and to demonstrate how the fitness landscape of strategies becomes intrinsically dynamic due to species-environment feedback. Such dynamic fitness landscapes produce rich behaviors, and prove to be crucial for ecological and evolutionary stable coexistence in all the models we examined.

systems biology↗

E. coli translation strategies differ across nutrient conditions

For cells to grow faster they must increase their protein production rate. Microorganisms have traditionally been thought to accomplish this increase by producing more ribosomes to enhance protein synthesis capacity, leading to the linear relationship between ribosome level and growth rate observed under most growth conditions previously examined. Past studies have suggested that this linear relationship represents an optimal resource allocation strategy for each growth rate, independent of any specific nutrient state. Here we investigate protein production strategies in continuous cultures limited for carbon, nitrogen, and phosphate, which differentially impact substrate supply for protein versus nucleic acid metabolism. Unexpectedly, we find that at slow growth rates, E. coli achieves the same protein production rate using three different strategies under the three different nutrient limitations. Upon phosphate (P) limitation, translation is slow due to a particularly low abundance of ribosomes, which are RNA-rich and thus particularly costly for phosphorous-limited cells. In nitrogen (N) limitation, translation is slowed by limited glutamine and stalling at glutamine codons, resulting is slow elongation. In carbon (C) limitation, translation is slowed by accumulation of inactive ribosomes not bound to mRNA. These extra ribosomes enable rapid growth acceleration upon nutrient upshift. Thus, bacteria tune ribosome usage across different limiting nutrients to enable balanced nutrient-limited growth while also preparing for future nutrient upshifts.

microbiology↗