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Biology subjects

Lee, J.-O.

Publications and source records attributed to Lee, J.-O..

5 recordsLinked to original sources

Integrating Fas-mediated apoptosis with IFNγ signaling to drive tumor regression in mRNA cancer therapeutics

For mRNA-based cancer gene therapy, we engineered a membrane-bound fusion protein combining interferon-{gamma} (IFN{gamma}) with the Fas intracellular domain (FasICD) to couple local IFN{gamma} signaling with Fas-driven apoptotic tumor cell death. IFN{gamma}-FasICD was robustly expressed on the plasma membrane after mRNA transfection. In murine cancer cell lines, IFN{gamma}-FasICD mRNA reduced viability within 24 h, resulting in [~]50% cell death in MC38 cells and [~]75% in B16OVA cells, exceeding the cytotoxicity of the FasICD-deleted control (IFN{gamma}-Fas{Delta}). Mechanistically, IFN{gamma}-FasICD induced predominantly apoptotic rather than necrotic cell death. IFN{gamma}-FasICD also activated IFN{gamma} receptor signaling in both cancer and the immune cells, inducing IFN{gamma}-responsive genes in IFN{gamma}R-high B16OVA cells and triggering STAT1 phosphorylation in co-cultured splenocytes. For in vivo delivery, IFN{gamma}-FasICD mRNA was formulated in lipid nanoparticles (LNPs), enabling strong intratumoral expression that peaked at [~]3 h and persisted for more than 48 h. Repeated intratumoral injections of LNP-formulated IFN{gamma}-FasICD mRNA suppressed the growth of established B16OVA and MC38 tumors and improved survival, with [~]40% and [~]20% of mice surviving beyond 30 days, respectively. IFN{gamma}-FasICD treatment remodeled the tumor microenvironment by increasing tumor-infiltrating CD45+ cells and CD8+ T cells, while further reducing FOXP3+ regulatory T cells. Moreover, NK/NKT cells and cDC1/cDC2 populations were increased, and their activation was enhanced. In tumor-draining lymph nodes, IFN{gamma}-FasICD mRNA promoted dendritic cell migration and increased priming and differentiation of CD8+ T cells toward effector and memory phenotypes, accompanied by enhanced functional activation of IFN{gamma}-producing CD8+ T cells and highly cytotoxic NK cells in peripheral blood. Overall, our findings provide a mechanistic foundation for cytokine-death receptor fusion proteins as an in vivo antitumor strategy that can reprogram tumor cells into localized sources of both apoptotic signals and immune-activating cues.

cancer biology↗

Structural basis of CD28 and CTLA-4 interactions with CD80, CD86, and the CD80-PD-L1 heterodimer on artificial and cellular membranes

The opposing actions of the co-stimulatory receptor CD28 and the co-inhibitory receptor CTLA-4, mediated by their interactions with B7-family ligands, govern the balance between T-cell activation and immune tolerance. We determined the cryo-EM structures of CD28 and CTLA-4 bound to CD80, CD86, and the CD80-PD-L1 heterodimer under two-dimensional membrane confinement. We show that CD28-CD80, CD28-CD86, and CTLA-4-CD86 form discrete complexes with closed-leg, cross-leg, and open-leg configurations, respectively, whereas CTLA-4 assembles into extended linear clusters and two-dimensional lattices with CD80. PD-L1 binding to CD80 disrupts CTLA-4-CD80 clustering by preventing CD80 homodimerization, while preserving CD28-CD80 binding through a pronounced architectural rearrangement. We further confirm the formation of linear and two-dimensional CTLA-4-CD80 clusters in cell-derived membrane fragments using cryo-EM. Together, these findings demonstrate that immune checkpoint signaling is governed not only by receptor-ligand affinity but also by membrane-imposed geometry and the competitive reorganization of higher-order assemblies at the immunological synapse.

immunology↗

Stabilization of the trimeric pre-fusion structures of influenza H1 and H9 hemagglutinins by mutations in the stem helices

Stabilizing the pre-fusion structures of antigenic proteins can enhance the effectiveness of antiviral vaccines. The pre-fusion form of hemagglutinin (HA) from the influenza virus typically adopts a stable trimeric structure. However, the recombinant ectodomain of HA from the A/California/04/2009 (H1N1) influenza virus formed a monomer in solution rather than the expected trimer. To promote trimer formation in the pre-fusion conformation, we redesigned five amino acid residues in the stem region of HA that are involved in trimerization. The engineered HA protein formed a stable trimer at both pH 8.0 and pH 5.5. Additionally, the thermal stability of the modified protein improved, as indicated by an approximately ten-degree increase in its denaturation temperature. Cryo-EM analysis at 2.2 [A] resolution confirmed that the mutant HA protein adopted the pre-fusion structure. Furthermore, the stabilized mutant exhibited enhanced immunogenicity in mice. We applied the same optimization strategy to the HA proteins from A/Malaysia/1706215/2007 (H1N1) and A/swine/Hong Kong/2106/98 (H9N2). These engineered proteins demonstrated increased thermal stability and retained a trimeric pre-fusion structure, as confirmed by cryo-EM analysis. Extending this optimization strategy to the equivalent five residues in hemagglutinins from six additional group 1 influenza viruses successfully stabilized their trimeric structures.

biophysics↗

Highly ordered clustering of TNFα and BAFF ligand-receptor-adaptor complexes bound to lipid membranes

We report the cryo-EM structures of clusters of TNF receptor family proteins, TNFR1 and BAFFR. The receptor-ligand complexes were anchored to a flat lipid layer to mimic the membrane-bound state. We observed that the TNF-TNFR1 complex forms highly ordered binary, bent, trigonal, and linear quadruple clusters of trimers on the lipid membrane. A non-competitive antagonist of TNFR1 disrupted these clusters without interfering with ligand binding. Moreover, we found that the BAFF-BAFFR complex forms pentagonal, double-pentagonal, or half-spherical clusters of trimers. Mutations in BAFF that inhibit BAFFR receptor activation prevented ordered clustering without disrupting receptor binding. TRAF3 induced a structural shift in the BAFF-BAFFR cluster, resulting in a flat hexagonal cluster. Our data demonstrated that precisely structured clustering is essential for the activation of these receptors. The lipid monolayer method will aid in studying the clusters of other transmembrane proteins and facilitate the discovery of therapeutic agents that regulate their clustering.

biochemistry↗

Loss of p21-activated kinase 4 (PAK4) suppresses pancreatic tumor progression and metastasis through regulating E-cadherin

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a poor prognosis with early and frequent metastasis. While p21-activated kinase 4 (PAK4) has been implicated in cell migration, and invasion, the molecular mechanisms in PDAC remain unknown. In this study, we found that PAK4 overexpression was correlated with poor survival in PDAC patients through analysis of TCGA data. PAK4-amplified PDAC cells showed enhanced mobility in contrast with wild-type. PAK4 knockdown in PAK4 amplified cells inhibited cell migration, invasion, and displacement by increased and stabilized E-cadherin, which was attributed to decreased activity of Cdc42. PAK4 knock-in in PAK4 wild-type models enhanced cell migration, invasion, and displacement by reduced E-cadherin through elevated Cdc42 activity. PAK4 bounded to E-cadherin, Cdc42, and p120ctn in immunoprecipitation. In confocal imaging, the colocalization of PAK4, E-cadherin, p120ctn, and Cdc42 was also identified. In an orthotopic PDAC mouse model, PAK4 knockdown decreased primary tumor size and occurrence of malignant ascites by activation of E-cadherin. Notably, in patients tissue specimens, inverse correlation on expression of PAK4 and E-cadherin were also shown. In conclusion, our study highlights that PAK4 promotes invasive and metastatic behavior by regulating E-cadherin in PDAC. PAK4 could be a potential therapeutic target for PDAC patients. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/594599v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1755a23org.highwire.dtl.DTLVardef@170b2a1org.highwire.dtl.DTLVardef@1df96edorg.highwire.dtl.DTLVardef@2dc46b_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗