β-Coronaviruses are a family of positive-strand enveloped RNA viruses that include the severe acute respiratory syndrome-CoV2 (SARS-CoV2). Much is known regarding their cellular entry and replication pathways, but their mode of egress remains uncertain. Using imaging methodologies and virus-specific reporters, we demonstrate that β-Coronaviruses utilize lysosomal trafficking for egress, rather than the biosynthetic secretory pathway more commonly used by other enveloped viruses. This unconventional egress is regulated by the Arf-like small GTPase Arl8b and can be blocked by the Rab7 GTPase competitive inhibitor CID1067700. Such non-lytic release of β-Coronavirus results in lysosome deacidification, inactivation of lysosomal degradation enzymes and disruption of antigen presentation pathways. The β−coronavirus-induced exploitation of lysosomal organelles for egress provides insights into the cellular and immunological abnormalities observed in patients and suggests new therapeutic modalities.
Hundreds of cellular proteins require iron (Fe) cofactors for activity, and cells express systems for their assembly and distribution. Molecular details of the cytosolic iron pool used for iron cofactors are lacking, but iron chaperones of the poly rC-binding protein (PCBP) family play a key role in ferrous ion distribution. Here we show that, in cells and in vitro , PCBP1 coordinates iron via conserved cysteine and glutamate residues and a molecule of non-covalently bound glutathione (GSH). Proteomics analysis of PCBP1-interacting proteins identified BolA2, which functions, in complex with Glrx3, as a cytosolic [2Fe–2S] cluster chaperone. The Fe–GSH-bound form of PCBP1 complexes with cytosolic BolA2 via a bridging Fe ligand. Biochemical analysis of PCBP1 and BolA2, in cells and in vitro , indicates that PCBP1–Fe–GSH–BolA2 serves as an intermediate complex required for the assembly of [2Fe–2S] clusters on BolA2–Glrx3, thereby linking the ferrous iron and Fe–S distribution systems in cells.
Remission durability following single-antigen targeted chimeric antigen receptor (CAR) T-cells is limited by antigen modulation, which may be overcome with combinatorial targeting. Building upon our experiences targeting CD19 and CD22 in B-cell acute lymphoblastic leukemia (B-ALL), we report on the experiences and limitations of a novel MSCV-CD19/CD22-4-1BB bivalent CAR T-cell (CD19.22.BBz). This phase I dose-escalation trial enrolled children and young adults (CAYA) with B-cell malignancies. Primary objectives included toxicity and dose-finding. Secondary objectives included response rates and relapse-free survival (RFS). Biologic correlatives, including CAR T-cell expansion and cytokine profiling, and laboratory investigations, were also analyzed. Twenty patients, ages 5.4-34.6 years, with B-ALL received CD19.22.BBz. The complete response (CR) rate was 60% (12/20) in the full cohort and 71.4% (10/14) in CAR-naïve patients. Ten (50%) developed cytokine release syndrome (CRS), with 3 (15%) having grade 3 CRS and only 1 experiencing any neurotoxicity (grade 3). The 6- and 12-month RFS in those achieving CR was 80.8% (95% CI: 42.4-94.9%) and 57.7% (95% CI: 22.1-81.9%), respectively. Limited CAR T-cell expansion and persistence of MSCV-CD19.22.BBz compared to EF1a-CD22.BBz prompted laboratory investigations comparing EF1a versus MSCV promoters, which did not reveal major differences. Limited CD22 targeting with CD19.22.BBz, as evaluated by ex vivo cytokine secretion and leukemia eradication in humanized mice, led to development of a novel bicistronic CD19.28z/CD22.BBz construct with enhanced cytokine production against CD22. With demonstrated safety and efficacy of CD19.22.BBz in a heavily pre-treated CAYA B-ALL cohort, further optimization of combinatorial antigen targeting serves to overcome identified limitations. (Clinicaltrials.gov NCT03448393)
Systems immunology lacks a framework with which to derive theoretical understanding from high-dimensional datasets. We combined a robotic platform with machine learning to experimentally measure and theoretically model CD8 + T cell activation. High-dimensional cytokine dynamics could be compressed onto a low-dimensional latent space in an antigen-specific manner (so-called “antigen encoding”). We used antigen encoding to model and reconstruct patterns of T cell immune activation. The model delineated six classes of antigens eliciting distinct T cell responses. We generalized antigen encoding to multiple immune settings, including drug perturbations and activation of chimeric antigen receptor T cells. Such universal antigen encoding for T cell activation may enable further modeling of immune responses and their rational manipulation to optimize immunotherapies.
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