Biology subjects

Melichar, H. J.

Publications and source records attributed to Melichar, H. J..

6 recordsLinked to original sources

bioRxiv2026

GFI1 as a novel regulator of γδ T cell development and the IL-17/IFNγ lineage commitment

GFI1 is a DNA-binding zinc finger transcription factor regulating the commitment of hematopoietic precursors to myeloid and lymphoid lineages. Here we report that GFI1 is expressed in {gamma}{delta} T cells and restricts the cellularity of ROR{gamma}t+V{gamma}6+ {gamma}{delta}T cells that produce high levels of IL-17A, while promoting the expansion of V{gamma}1+ and V{gamma}4+ {gamma}{delta}T cells. Absence of GFI1 results in a pronounced bias toward the production of {gamma}{delta}T17 cells, commencing post-birth. Additionally, we observe an expansion of ROR{gamma}t+/MAF+ cells within the thymic DN1e population of GFI1-deficient mice. The DN1e population, along with other DN subsets in GFI1 knock-out (KO) mice, exhibits a distinctive {gamma}{delta}T17 cell-specific transcriptomic profile. Specifically, DN1, DN3, and {gamma}{delta} T cells lacking GFI1 show upregulation of the B-ZIP transcription factor MAF, which regulates genes critical for {gamma}{delta}T cells, such as Il17a, Il22, and Blk that are all induced in Gfi1 deficient cells. The Maf gene is occupied by GFI1 in DN pre-T cells at cognate binding sites in its promoter region, suggesting that GFI1 acts as a direct repressor of Maf. We conclude that GFI1 functions as a novel regulator of V{gamma}6+ {gamma}{delta}T17 precursor cells restricting their peripheral expansion by acting upstream of a MAF dependent regulatory network. Highlights- GFI1 controls the expansion of {gamma}{delta} T cells in peripheral lymphoid organs and in barrier tissues. - GFI1 specifically restricts expansion of {gamma}{delta} T cells secreting IL-17 by acting upstream of a MAF dependent transcriptional regulatory network. - GFI1 plays a cell intrinsic role in controlling the generation of {gamma}{delta}T cells through the repression of Maf. - GFI1 controls a MAF+/ROR{gamma}t+ {gamma}{delta}T cell precursor cell population within the DN1e cell subset.

immunology↗

bioRxiv2024

A type 1 immune-stromal cell network mediates disease tolerance and barrier protection against intestinal infection

Type 1 immunity mediates host defense through pathogen elimination, but whether this pathway also impacts tissue function is unknown. Here we demonstrate that rapid induction of IFN{gamma} signaling coordinates a multi-cellular response that is critical to limit tissue damage and maintain gut motility following infection of mice with a tissue-invasive helminth. IFN{gamma} production is initiated by antigen-independent activation of lamina propria CD8+ T cells following MyD88-dependent recognition of the microbiota during helminth-induced barrier invasion. IFN{gamma} acted directly on intestinal stromal cells to recruit neutrophils that limited parasite-induced tissue injury. IFN{gamma} sensing also limited the expansion of smooth muscle actin-expressing cells to prevent pathological gut dysmotility. Importantly, this tissue-protective response had limited impact on parasite burden, indicating that IFN{gamma} supports a disease tolerance defense strategy. Our results have important implications for managing the pathophysiological sequelae of post-infectious gut dysfunction and chronic inflammatory diseases associated with stromal remodelling. HIGHLIGHTSO_LIType 1 immunity is required for disease tolerance to tissue-invasive infection. C_LIO_LIGut-resident CD8+ T cells produce IFN{gamma} in an antigen-independent, yet microbiota-dependent manner. C_LIO_LIIFN{gamma} signaling recruits neutrophils in a cell-extrinsic manner to limit helminth-induced tissue injury. C_LIO_LIDirect sensing of IFN{gamma} by intestinal stroma is essential to limit tissue damage and maintain gut motility during infection. C_LI

immunology↗

bioRxiv2024

CD271 restrains the B1b cell antibody response in a T cell dependent manner

Co-signaling molecules modulate T cell function and are essential to control the duration and amplitude of immune responses. These molecules belong to the immunoglobulin and tumor necrosis factor receptor (TNFR) superfamilies and have been extensively studied; however, the immunomodulatory role of several family members remains unknown. We show that CD271 (also known as p75 or NGFR), a TNFR superfamily member, is highly expressed on peritoneal B1 B cells, but not on conventional (B2) B cells at steady state. CD271 expression by B cells specifically restrains the response to T cell-independent type 2 antigens (TI-2). B1 cell-expressed CD271 maintains peritoneal CD4+ T cell quiescence, and augmented antibody responses to TI-2 antigens in CD271-deficient mice are dependent on CD4+ T cells. This increase in antibody production correlates with improved bacterial neutralization in vitro and survival after bacterial challenge in vivo. Further, our results suggest that CD271 can directly inhibit mouse and human T cell activity to the same extent as PD-L1, a known, negative regulator of T cell function. These results establish CD271 as a co-inhibitory molecule that could be targeted to improve the efficacy of vaccines against pathogenic encapsulated bacteria and to broadly modulate the T cell response in therapeutic contexts. eTOC summaryLebel et al. identify an unexpected role for CD271, a neurotrophin receptor, in directly inhibiting T cell function. B1 cell-expressed CD271 maintains CD4+ T cell quiescence; in the absence of CD271, T cells bolster antibody production to T-independent antigens, enhancing the response to encapsulated bacteria.

immunology↗

bioRxiv2023

Predicting T cell activation based on intracellular calcium fluctuations

Adoptive T cell therapies rely on the transduction of T cells with a predetermined antigen receptor which redirects their specificity towards tumor-specific antigens. Despite the development of multiple platforms for tumor-specific T cell receptor (TCR) discovery, this process remains time consuming and skewed toward high-affinity TCRs. Specifically, the methods for identifying therapeutically-relevant TCR sequences, predominantly achieved through the enrichment of antigen-specific T cells, represents a major bottleneck for the broader application of TCR-engineered cell therapies. Fluctuation of intracellular calcium levels in T cells is a well described, proximal readout of TCR signaling. Hence, it is an attractive candidate marker for identifying antigen-specific T cells that does not require in vitro antigen-specific T cell expansion. However, calcium fluctuations downstream of TCR engagement with antigen are highly variable; we propose that appropriately-trained machine learning algorithms may allow for T cell classification from complex datasets such as those related to polyclonal T cell signaling events. Using deep learning tools, we demonstrate efficient and accurate prediction of antigen-specificity based on intracellular Ca2+ fluctuations of in vitro-stimulated CD8+ T cells. Using a simple co-culture assay to activate monoclonal TCR transgenic T cells of known specificity, we trained a convolutional neural network to predict T cell reactivity, and we test the algorithm against T cells bearing a distinct TCR transgene as well as a polyclonal T cell response. This approach provides the foundation for a new pipeline to fast-track antigen specific TCR sequence identification for use in adoptive T cell therapy. Significance StatementWhile T cells engineered to express a cancer-specific T cell receptor (TCR) are emerging as a viable approach for personalized therapies, the platforms for identifying clinically-relevant TCR sequences are often limited in the breadth of antigen receptors they identify or are cumbersome to implement on a personalized basis. Here, we show that imaging of intracellular calcium fluctuations downstream of TCR engagement with antigen can be used, in combination with artificial intelligence approaches, to accurately and efficiently predict T cell specificity. The development of cancer-specific T cell isolation methods based on early calcium fluctuations may avoid the biases of current methodologies for the isolation of patient-specific TCR sequences in the context of adoptive T cell therapy.

immunology↗

bioRxiv2022

CBFA2T3-GLIS2-dependent pediatric acute megakaryoblastic leukemia is driven by GLIS2 and sensitive to Navitoclax

Pediatric acute megakaryoblastic leukemia (AMKL) is an aggressive, uncurable blood cancer associated with poor therapeutic response and high mortality. We developed CBFA2T3-GLIS2-driven mouse models of AMKL that recapitulate the phenotypic and transcriptional signatures of the human disease. We show that an activating Ras mutation, which occurs in human AMKL, increased the penetrance and decreased the latency of CBF2AT3-GLIS2-driven AMKL. CBFA2T3-GLIS2 and GLIS2 modulate similar transcriptional networks. We uncover the dominant oncogenic properties of GLIS2, which trigger AMKL in cooperation with oncogenic Ras. We find that both CBFA2T3-GLIS2 and GLIS2 alter the expression of numerous BH3-only proteins, causing AMKL cell sensitivity to the BCL-2 inhibitor navitoclax both in vitro and in vivo, suggesting a novel therapeutic option for pediatric patients suffering from CBFA2T3-GLIS2-driven AMKL. Key pointsGLIS2 cooperates with activated Nras to promote the development of acute megakaryoblastic leukemia. CBFA2T3-GLIS2 and GLIS2 alter the expression of BCL2 family members rendering AMKL cells sensitive to navitoclax.

cancer biology↗

bioRxiv2021

Pre-existing chromatin accessibility and gene expression differences among naïve CD4+ T cells influence effector potential

CD4+ T cells have a remarkable potential to differentiate into diverse effector lineages following activation. Here, we probed the heterogeneity present among naive CD4+ T cells before encountering their cognate antigen to ask whether their effector potential is modulated by pre-existing transcriptional and epigenetic differences. Using single-cell RNA sequencing, we showed that key drivers of variability are genes involved in T cell receptor (TCR) signaling. Using CD5 expression as a read-out of the strength of tonic TCR interactions with self-peptide MHC, and sorting on the ends of this self-reactivity spectrum, we find that pre-existing transcriptional differences among naive CD4+ T cells impact follicular helper cell (TFH) versus non-TFH effector lineage choice. Moreover, our data implicate TCR signal strength during thymic development in establishing differences in naive CD4 T cell chromatin landscapes that ultimately shape their effector potential.

immunology↗