Table2_Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer.DOCX

Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after treatment. Immunogenic cell death (ICD) is a unique form of regulated cell death that can activate the adaptive immune system through the release of DAMPs and cytokines in immunocompromised hosts and establish long-term immunologic memory. Therefore, this study aims to explore the prognostic value and underlying mechanisms of ICD-related genes in OC on the basis of characteristics.Methods: The gene expression profiles and related clinical information of OC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. ICD-related genes were collected from the Genecards database. ICD-related prognostic genes were obtained by intersecting ICD-related genes with the OC prognostic-related genes that were analyzed in the TCGA database. Functional enrichment, genetic mutation, and immune infiltration correlation analyses were further performed to identify underlying mechanisms. Subsequently, we developed a TCGA cohort-based prognostic risk model that included a nine-gene signature through univariate and multivariate Cox regression and LASSO regression analyses. Meanwhile, external validation was performed on two sets of GEO cohorts and the TCGA training cohort for three other common tumors in women. In addition, a nomogram was established by integrating clinicopathological features and ICD-related gene signature to predict survival probability. Finally, functional enrichment and immune infiltration analyses were performed on the two risk subgroups.Results: By utilizing nine genes (ERBB2, RB1, CCR7, CD38, IFNB1, ANXA2, CXCL9, SLC9A1, and SLAMF7), we constructed an ICD-related prognostic signature. Subsequently, patients were subdivided into high- and low-risk subgroups in accordance with the median value of the risk score. In multivariate Cox regression analyses, risk score was an independent prognostic factor (hazard ratio = 2.783; p Conclusion: We constructed a novel ICD-related gene model for forecasting the prognosis and immune infiltration status of patients with OC. In the future, new ICD-related genes may provide novel potential targets for the therapeutic intervention of OC.</p

Table3_Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer.DOCX

Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after treatment. Immunogenic cell death (ICD) is a unique form of regulated cell death that can activate the adaptive immune system through the release of DAMPs and cytokines in immunocompromised hosts and establish long-term immunologic memory. Therefore, this study aims to explore the prognostic value and underlying mechanisms of ICD-related genes in OC on the basis of characteristics.Methods: The gene expression profiles and related clinical information of OC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. ICD-related genes were collected from the Genecards database. ICD-related prognostic genes were obtained by intersecting ICD-related genes with the OC prognostic-related genes that were analyzed in the TCGA database. Functional enrichment, genetic mutation, and immune infiltration correlation analyses were further performed to identify underlying mechanisms. Subsequently, we developed a TCGA cohort-based prognostic risk model that included a nine-gene signature through univariate and multivariate Cox regression and LASSO regression analyses. Meanwhile, external validation was performed on two sets of GEO cohorts and the TCGA training cohort for three other common tumors in women. In addition, a nomogram was established by integrating clinicopathological features and ICD-related gene signature to predict survival probability. Finally, functional enrichment and immune infiltration analyses were performed on the two risk subgroups.Results: By utilizing nine genes (ERBB2, RB1, CCR7, CD38, IFNB1, ANXA2, CXCL9, SLC9A1, and SLAMF7), we constructed an ICD-related prognostic signature. Subsequently, patients were subdivided into high- and low-risk subgroups in accordance with the median value of the risk score. In multivariate Cox regression analyses, risk score was an independent prognostic factor (hazard ratio = 2.783; p Conclusion: We constructed a novel ICD-related gene model for forecasting the prognosis and immune infiltration status of patients with OC. In the future, new ICD-related genes may provide novel potential targets for the therapeutic intervention of OC.</p

Table1_Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer.XLSX

Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after treatment. Immunogenic cell death (ICD) is a unique form of regulated cell death that can activate the adaptive immune system through the release of DAMPs and cytokines in immunocompromised hosts and establish long-term immunologic memory. Therefore, this study aims to explore the prognostic value and underlying mechanisms of ICD-related genes in OC on the basis of characteristics.Methods: The gene expression profiles and related clinical information of OC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. ICD-related genes were collected from the Genecards database. ICD-related prognostic genes were obtained by intersecting ICD-related genes with the OC prognostic-related genes that were analyzed in the TCGA database. Functional enrichment, genetic mutation, and immune infiltration correlation analyses were further performed to identify underlying mechanisms. Subsequently, we developed a TCGA cohort-based prognostic risk model that included a nine-gene signature through univariate and multivariate Cox regression and LASSO regression analyses. Meanwhile, external validation was performed on two sets of GEO cohorts and the TCGA training cohort for three other common tumors in women. In addition, a nomogram was established by integrating clinicopathological features and ICD-related gene signature to predict survival probability. Finally, functional enrichment and immune infiltration analyses were performed on the two risk subgroups.Results: By utilizing nine genes (ERBB2, RB1, CCR7, CD38, IFNB1, ANXA2, CXCL9, SLC9A1, and SLAMF7), we constructed an ICD-related prognostic signature. Subsequently, patients were subdivided into high- and low-risk subgroups in accordance with the median value of the risk score. In multivariate Cox regression analyses, risk score was an independent prognostic factor (hazard ratio = 2.783; p Conclusion: We constructed a novel ICD-related gene model for forecasting the prognosis and immune infiltration status of patients with OC. In the future, new ICD-related genes may provide novel potential targets for the therapeutic intervention of OC.</p

Origin of Water-Induced Fluorescence Turn-On from a Schiff Base Compound: AIE or H‑Bonding Promoted ESIPT?

A nonfluorescent Schiff base compound (<b>4)</b> in an aprotic solvent (e.g., CH₃CN) is found to give blue fluorescence turn-on (λ_em ≈ 475 nm) upon addition of H₂O. By using a wide range of spectroscopic methods, including ¹H NMR and dynamic light scattering, the fluorescence response is shown to be not originating from the molecular aggregation-induced emission (AIE). Spectroscopic studies at low temperatures further reveal a dynamic response of <b>4</b> to temperature, showing that the excited state intramolecular proton transfer (ESIPT) can be ON or OFF through interaction with protic solvent. In the binary solvent (with composition CH₃CN/H₂<i>O</i> = 3:1), the Schiff base gives ESIPT emission (λ_em ≈ 524 nm) only at extremely low temperature (below −80 °C), which is turned off when being warmed to −60 °C, attributing to the increasing photoinduced electron transfer (PET) effect. When the temperature is further raised to −20 °C, ESIPT emission is reactivated to give blue emission (λ_em ≈ 475 nm) that is observed at room temperature. The observed dynamic fluorescence response reveals that ESIPT could be a predominant mechanism in the fluorescence turn-on of Schiff base compounds, although both AIE and ESIPT mechanisms could operate. The assumption is further verified by examining the response of Schiff base to Al³⁺ cation

Self-Assembly of Polyoxovanadate-Containing Fluorosurfactants

Two novel polyoxovanadate (POV)-containing fluorosurfactants, each with two hydrophobic fluorinated “tails” and one nanosized, hydrophilic, rigid POV “head group”, are synthesized for the first time. They self-assemble into spherical, bilayer vesicles in acetonitrile/water mixed solvents, as evidenced by systemic studies using laser light scattering (LLS) and electron microscopy techniques. The vesicle sizes demonstrate dynamic change over different solvent compositions mainly as a result of the solvent swelling of the fluorocarbon chains, although the charge number on the POVs changes over the solvent polarity as well

A Library of Thermoresponsive, Coacervate-Forming Biodegradable Polyesters

We report on a new class of thermoresponsive biodegradable polyesters (TR-PE) inspired by polyacrylamides and elastin-like proteins (ELPs). The polyesters display reversible phase transition with tunable cloud point temperatures (<i>T</i>_cp) in aqueous solution as evidenced by UV–vis spectroscopy, ¹H NMR, and DLS measurements. These polyesters form coacervate droplets above their lower critical solution temperature (LCST). The <i>T</i>_cp of the polyesters is influenced by the solutes such as urea, SDS, and NaCl. The <i>T</i>_cp of the copolymers shows a linear correlation with the composition of the polyesters indicating the ability to tune the phase change temperature. We also show that such thermoresponsive coacervates are capable of encapsulating small molecules such as Nile Red. Furthermore, the polyesters are hydrolytically degradable

Strong Co-Ion Effect via Cation−π Interaction on the Self-Assembly of Metal–Organic Cationic Macrocycles

The predesigned metal–organic macrocycle Zn₃QDB₃(NO₃)₄ (Zn-QDB) was observed to self-assemble into a hollow, spherical, single-layered “blackberry”-type structure. The self-assembly behaviors of the Zn-QDB are significantly influenced by additional small ions. Specifically, the cations exhibit strong co-ion effects on the interaction between cationic macrocycles which are different from the previously reported co-ion effects of simple anions on anionic polyoxometalates. This unusual phenomenon is due to the unique cation−π interaction between small cations and electron-rich cavity of Zn-QDB, as confirmed by UV–vis, ¹H NMR, and fluorescence spectra. The variation of hydrodynamic radius (<i>R</i>_h) of assemblies with the changes of solution ionic strength and the type of cations reveals the competition between counterion-mediated attraction and cation−π interaction during the self-assembly process. Furthermore, the cooperativity of cation−π interaction and π–π stacking play a vital role in enhancing the stability of the supramolecular structure

Exploring the Programmable Assembly of a Polyoxometalate–Organic Hybrid via Metal Ion Coordination

The conformational flexibility and programmed assembly of a dumbbell-shaped polyoxometalate–organic hybrid molecule comprising two Dawson-type polyoxometalates linked by a 2,2′-bipyridine unit, which can be coordinate to metal ions, in this case of Zn²⁺, are described. SAXS, UV/vis, and NMR spectroscopic techniques confirm that the hybrid molecules exist as the <i>trans</i> dumbbell in metal-ion-free solutions and can be reversibly transformed into the <i>cis</i> dumbbell through coordination upon the addition of ZnCl₂ into a DMSO solution containing the hybrid. Subsequent addition of EDTA reverses the switching process by extracting the Zn²⁺ cations from the hybrid. During the interchange process between <i>trans</i> and <i>cis</i> dumbbells, a further reorganization of the hybrid molecules occurs through bond rotation to minimize steric clashes between the polyoxometalate subunits, in order to stabilize the corresponding dumbbell conformation. The Zn²⁺-controlled conformational transformation of the hybrid can be further utilized to manipulate the hybrid’s solvophobic interaction-driven self-assembly behavior in the metal-ion driven reversible formation of 140 nm sized vesicles, studied by laser light scattering techniques

Exploring the Programmable Assembly of a Polyoxometalate–Organic Hybrid via Metal Ion Coordination

The conformational flexibility and programmed assembly of a dumbbell-shaped polyoxometalate–organic hybrid molecule comprising two Dawson-type polyoxometalates linked by a 2,2′-bipyridine unit, which can be coordinate to metal ions, in this case of Zn²⁺, are described. SAXS, UV/vis, and NMR spectroscopic techniques confirm that the hybrid molecules exist as the <i>trans</i> dumbbell in metal-ion-free solutions and can be reversibly transformed into the <i>cis</i> dumbbell through coordination upon the addition of ZnCl₂ into a DMSO solution containing the hybrid. Subsequent addition of EDTA reverses the switching process by extracting the Zn²⁺ cations from the hybrid. During the interchange process between <i>trans</i> and <i>cis</i> dumbbells, a further reorganization of the hybrid molecules occurs through bond rotation to minimize steric clashes between the polyoxometalate subunits, in order to stabilize the corresponding dumbbell conformation. The Zn²⁺-controlled conformational transformation of the hybrid can be further utilized to manipulate the hybrid’s solvophobic interaction-driven self-assembly behavior in the metal-ion driven reversible formation of 140 nm sized vesicles, studied by laser light scattering techniques

Exploring the Programmable Assembly of a Polyoxometalate–Organic Hybrid via Metal Ion Coordination

The conformational flexibility and programmed assembly of a dumbbell-shaped polyoxometalate–organic hybrid molecule comprising two Dawson-type polyoxometalates linked by a 2,2′-bipyridine unit, which can be coordinate to metal ions, in this case of Zn²⁺, are described. SAXS, UV/vis, and NMR spectroscopic techniques confirm that the hybrid molecules exist as the <i>trans</i> dumbbell in metal-ion-free solutions and can be reversibly transformed into the <i>cis</i> dumbbell through coordination upon the addition of ZnCl₂ into a DMSO solution containing the hybrid. Subsequent addition of EDTA reverses the switching process by extracting the Zn²⁺ cations from the hybrid. During the interchange process between <i>trans</i> and <i>cis</i> dumbbells, a further reorganization of the hybrid molecules occurs through bond rotation to minimize steric clashes between the polyoxometalate subunits, in order to stabilize the corresponding dumbbell conformation. The Zn²⁺-controlled conformational transformation of the hybrid can be further utilized to manipulate the hybrid’s solvophobic interaction-driven self-assembly behavior in the metal-ion driven reversible formation of 140 nm sized vesicles, studied by laser light scattering techniques