Multimodal Characterization Research Articles

EPCO-28. UNVEILING INVASIVE MECHANISMS OF GLIOBLASTOMA CELLS THROUGH MULTIMODAL SINGLE-CELL SEQUENCING

Abstract Glioblastoma (GBM) is the most common malignancy of the central nervous system, characterized by a dismal prognosis and inevitable recurrence despite aggressive standard-of-care therapy. Extensive colonization of the surrounding brain parenchyma precludes complete surgical resection, posing a significant therapeutic challenge. While well-studied in model systems, the molecular features and epigenetic regulators of invasive GBM cells remain under-explored directly in clinical samples. To address this gap, we performed a multimodal single-cell sequencing characterization of GBM tumor samples from anatomically distinct regions collected using MRI guidance. Our results demonstrate an enrichment of progenitor-like (neural- and oligodendrocyte-like) malignant states and neurons at the tumor margins. In contrast, differentiated-like states and myeloid cells were more abundant in the tumor core. Peri-tumoral progenitor-like malignant states expressed a unique neuronal signature associated with synaptic signaling, neurogenesis, and Notch signaling. Further, the expression of this neuronal signature was correlated with increased invasiveness. Analysis of matched primary-recurrent GBM patient cohorts revealed an expansion of this neuronal activity program, which was associated with worse overall survival. Motifs of proneural transcription factors implicated in neuronal lineage differentiation were also found to be differentially accessible in progenitor-like malignant states marked by the neuronal invasive signature, potentially contributing to the remodeling of cell states at the invasive margin. Further, cell-cell interaction analysis predicted greater communication between neurons and peri-tumoral progenitor-like malignant states, mediated predominantly through neurexin-neuroligin trans-synaptic signaling, facilitating synaptogenesis and the integration of tumor cells into neural circuits. Altogether, these findings suggest a model in which GBM invasive cells communicate with normal brain neurons in peri-tumoral regions, exploiting neurodevelopmental pathways to facilitate invasion and potentially seed recurrence. Our characterization of invasive GBM cells provides insight into the mechanisms of brain invasion and highlights potential therapeutic vulnerabilities of malignant invasive cells. Understanding these mechanisms opens new avenues for targeted therapies aimed at curtailing the invasive and adaptive capabilities of GBM.

Loading Self-Assembly Siliceous Zeolites for Affordable Next-Generation Wearable Artificial Kidney Technology.

The global demand for dialysis among patients with end-stage kidney disease has surpassed the capacity of public healthcare, a trend that has intensified. While wearable artificial kidney (WAK) technology is seen as a crucial solution to address this demand, there is an urgent need for both efficient and renewable toxin-adsorbent materials to overcome the long-standing technological challenges in terms of cost, device size, and sustainability. In this study, we employed screening experiments for adsorbent materials, multimodal characterization, and Monte Carlo adsorption simulations to identify a synthetic self-assembly silicalite-1 zeolite that exhibits highly ordered crystal arrays along the [010] face (b-axis) direction, demonstrating exceptional adsorption capabilities for small molecular toxins such as creatinine and urea associated with uremia. Moreover, this metal-free, cost-effective, easily synthesized, and highly efficient toxin adsorbent could be regenerated through calcination without compromising the performance. The simulated toxin adsorption experiments and comprehensive biocompatibility verification position it as an auxiliary adsorbent to reduce dialysate dosages in WAK devices as well as a potential adsorbent for small-molecule toxins in dialysis. This work is poised to propel the development of next-generation WAK devices by providing siliceous adsorbent solutions for small-molecule toxins.

The Paradoxical Influence of Hydrothermally Treated Zeolites on the Hydrocarbon Pool Mechanism.

Understanding the mechanistic intricacies of hydrothermally treated zeolite is crucial for valorizing any oxygen-containing renewable feedstocks (e.g., methanol, carbon dioxide, biomass). Additionally, the regeneration of deactivated zeolite catalysts under oxidative conditions, akin to hydrothermal treatment, is essential in industrial processes. While research in this area has predominantly focused on characterizing steaming-induced physicochemical changes in zeolite, their ultimate impact on the organic reaction mechanism governed by the hydrocarbon pool dual-cycle mechanism remains unclear. To bridge this knowledge gap, this study investigates the effect of steamed zeolite on the organic reaction mechanism during the industrially significant methanol-to-hydrocarbons process. We achieved this objective by strategically integrating catalytic and control experiments over the pristine and steamed zeolites and their advanced characterization, including under operando conditions, XRD structural refinement, and using "mobility-dependent" solid-state NMR spectroscopy. This multimodal characterization approach was instrumental in elucidating elusive mechanistic information in the dual-cycle mechanism, shedding light on phenomena such as the unchanged ethylene selectivity despite decreasing aromatics selectivity, while ethylene could solely be derived from arene-based reaction intermediates. This study could improve the process efficiency in zeolite catalysis by connecting steaming-induced changes in the organic reaction mechanisms with inorganic material aspects.

The Paradoxical Influence of Hydrothermally Treated Zeolites on the Hydrocarbon Pool Mechanism

Understanding the mechanistic intricacies of hydrothermally treated zeolite is crucial for valorizing any oxygen‐containing renewable feedstocks (e.g., methanol, carbon dioxide, biomass). Additionally, the regeneration of deactivated zeolite catalysts under oxidative conditions, akin to hydrothermal treatment, is essential in industrial processes. While research in this area has predominantly focused on characterizing steaming‐induced physicochemical changes in zeolite, their ultimate impact on the organic reaction mechanism governed by the hydrocarbon pool dual‐cycle mechanism remains unclear. To bridge this knowledge gap, this study investigates the effect of steamed zeolite on the organic reaction mechanism during the industrially significant methanol‐to‐hydrocarbons process. We achieved this objective by strategically integrating catalytic and control experiments over the pristine and steamed zeolites and their advanced characterization, including under operando conditions, XRD structural refinement, and using “mobility‐dependent” solid‐state NMR spectroscopy. This multimodal characterization approach was instrumental in elucidating elusive mechanistic information in the dual‐cycle mechanism, shedding light on phenomena such as the unchanged ethylene selectivity despite decreasing aromatics selectivity, while ethylene could solely be derived from arene‐based reaction intermediates. This study could improve the process efficiency in zeolite catalysis by connecting steaming‐induced changes in the organic reaction mechanisms with inorganic material aspects.

Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes.

Type 2 diabetes mellitus (T2DM) is a major risk factor for heart failure with preserved ejection fraction and cardiac arrhythmias. Precursors of these complications, such as diabetic cardiomyopathy, remain incompletely understood and underdiagnosed. Detection of early signs of cardiac deterioration in T2DM patients is critical for prevention. Our goal is to quantify T2DM-driven abnormalities in ECG and cardiac imaging biomarkers leading to cardiovascular disease. We quantified ECG and cardiac magnetic resonance imaging biomarkers in two matched cohorts of 1781 UK Biobank participants, with and without T2DM, and no diagnosed cardiovascular disease at the time of assessment. We performed a pair-matched cross-sectional study to compare cardiac biomarkers in both cohorts, and examined the association between T2DM and these biomarkers. We built multivariate multiple linear regression models sequentially adjusted for socio-demographic, lifestyle, and clinical covariates. Participants with T2DM had a higher resting heart rate (66 vs. 61 beats per minute, p < 0.001), longer QTc interval (424 vs. 420ms, p < 0.001), reduced T wave amplitude (0.33 vs. 0.37mV, p < 0.001), lower stroke volume (72 vs. 78ml, p < 0.001) and thicker left ventricular wall (6.1 vs. 5.9mm, p < 0.001) despite a decreased Sokolow-Lyon index (19.1 vs. 20.2mm, p < 0.001). T2DM was independently associated with higher heart rate (beta = 3.11, 95% CI = [2.11,4.10], p < 0.001), lower stroke volume (beta = -4.11, 95% CI = [-6.03, -2.19], p < 0.001) and higher left ventricular wall thickness (beta = 0.133, 95% CI = [0.081,0.186], p < 0.001). Trends were consistent in subgroups of different sex, age and body mass index. Fewer significant differences were observed in participants of non-white ethnic background. QRS duration and Sokolow-Lyon index showed a positive association with the development of cardiovascular disease in cohorts with and without T2DM, respectively. A higher left ventricular mass and wall thickness were associated with cardiovascular outcomes in both groups. T2DM prior to cardiovascular disease was linked with a higher heart rate, QTc prolongation, T wave amplitude reduction, as well as lower stroke volume and increased left ventricular wall thickness. Increased QRS duration and left ventricular wall thickness and mass were most strongly associated with future cardiovascular disease. Although subclinical, these changes may indicate the presence of autonomic dysfunction and diabetic cardiomyopathy.

Alloying effects on deformation induced microstructure evolution in copper

In this work, we investigated the effects of alloying elements on plastic deformation and microstructure evolution in polycrystalline copper (Cu) and Cu alloyed with 1 wt.%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document} lead (Cu-1%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}Pb). These materials were selected due to the size mismatch between Cu and Pb, with the latter forming precipitates at grain boundaries. Multi-modal characterization techniques, including neutron diffraction, electron backscatter diffraction (EBSD), and transmission electron microscopy (TEM), along with finite element simulations were employed to study the deformation behavior across multiple length scales. While both Cu and Cu-1%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}Pb exhibited similar macroscale response and final deformation textures, both dislocation line profile analysis and TEM revealed increased dislocation density in deformed Cu-1%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}Pb specimens. The presence of lead precipitates also significantly affected local plastic deformation during compression, with their influence diminishing with increasing strain. These results demonstrate the complex relationships between alloying elements, plastic deformation, microstructural evolution, and material behavior under load. The insights gained from this multi-scale and multi-technique approach contribute to the fundamental understanding of microstructural evolution in immiscible alloys and are valuable for tailoring the properties of structural materials for specific engineering applications.

A multimodal characterization of cardiopulmonary resuscitation-associated lung edema

BackgroundCardiopulmonary resuscitation-associated lung edema (CRALE) is a phenomenon that has been recently reported in both experimental and out-of-hospital cardiac arrest patients.We aimed to explore the respiratory and cardiovascular pathophysiology of CRALE in an experimental model of cardiac arrest undergoing prolonged manual and mechanical chest compression (CC). Oxygen delivery achieved during mechanical or manual CC were also investigated as a secondary aim, to describe CRALE evolution under different hemodynamic supports generated during CPR.MethodsVentricular fibrillation (VF) was induced and left untreated for 5 min prior to begin cardiopulmonary resuscitation (CPR), including CC, ventilation with oxygen, epinephrine administration and defibrillation. Continuous mechanical and manual CC was performed alternating one of the two strategies every 5 min for a total of 25 min. Unsynchronized mechanical ventilation was resumed simultaneously to CC. A lung computed tomography (CT) was performed at baseline and 1 h after return of spontaneous circulation (ROSC) in surviving animals. Partitioned respiratory mechanics, gas exchange, hemodynamics, and oxygen delivery were evaluated during the experimental study at different timepoints. Lung histopathology was performed.ResultsAfter 25 min of CPR, a marked decrease of the respiratory system compliance with reduced oxygenation and CO2 elimination were observed in all animals. The worsening of the respiratory system compliance was driven by a significant decrease in lung compliance. The presence of CRALE was confirmed by an increased lung weight and a reduced lung aeration at the lung CT, together with a high lung wet-to-dry ratio and reduced airspace at histology. The average change in esophageal pressure during the 25-min CPR highly correlated with the severity of CRALE, i.e., lung weight increase.ConclusionsIn this porcine model of cardiac arrest followed by a 25-min interval of CPR with mechanical and manual CC, CRALE was consistently present and was characterized by lung inhomogeneity with alveolar tissue and hemorrhage replacing alveolar airspace. Despite mechanical CPR is associated with a more severe CRALE, the higher cardiac output generated by the mechanical compression ultimately accounted for a greater oxygen delivery. Whether specific ventilation strategies might prevent CRALE while preserving hemodynamics remains to be proved.

Multimodal Spatial Transcriptomic Characterization of Mouse Kidney Injury and Repair

Multimodal Spatial Transcriptomic Characterization of Mouse Kidney Injury and Repair

Multimodal characterization of deep brain stimulation for obsessive compulsive disorder

Multimodal characterization of deep brain stimulation for obsessive compulsive disorder

Optimization and Characteristics of Multimodal Binder on Polymer Nanocomposite for Lightweight Applications

The process of selecting binders is complex because it requires finding a balance between improving material performance and reducing environmental impact. This involves challenges such as achieving nanoparticle dispersion, optimizing binder compatibility, and addressing environmental concerns. The main objective of this research on use the multimodal binder optimization characterization model (M-MBOCM) analysis to understand the intricate relationship between metal oxide nanoparticles, polymer matrices, and binders. These specialized nanocomposites have a wide range of potential applications. By intelligently selecting Scanning Characterization binders (SCB), industries can enhance material properties to meet specific requirements. This applies across various fields, from high-capacity energy storage devices to lightweight structural materials and smart sensors. This research involves analyzing metal oxide nanoparticle mage polymer nanocomposites with aqueous and nonaqueous binders in manganese dioxide-based cathodes (M-BC), hybrid supercapacitors (HS), and non-enzymatic glucose sensors (NEGS). The significance of M-BC in the present investigation results is based on advanced M-MBOCM and SCB techniques. The performance analysis ratio exceeds 95%, which is higher than the reported results for M-BC, HS, and NEGS. The scalability analysis ratio for M-MBOCM and SCM is observed to be higher than others, recorded at 93% and 88% respectively. These findings demonstrate the potential for enhanced nanocomposite materials in practical applications (lightweight) and drive their development.

Phenotypic characterisation of people at risk of atrial fibrillation: Protocol for the FIND-AF longitudinal cohort study.

The Future Innovations in Novel Detection of Atrial Fibrillation (FIND-AF) longitudinal cohort study is a multi-centre prospective cohort study of patients identified at risk of atrial fibrillation (AF). The aim of the FIND-AF longitudinal cohort study is to provide multi-modal phenotypic characterisation of these patients. 1955 participants identified as at risk of AF by the FIND-AF algorithm from primary care electronic health (EHR) data, aged 30 years and above and eligible for oral anticoagulation, will be be recruited between October 2023 and November 2024 to receive home-based intermittent ECG monitoring. About 500 participants without diagnosed AF will then undergo cross-sectional phenotypic characterisation including physical examination, symptoms assessment, serum blood biomarkers and echocardiography, and non-stress cardiac magnetic resonance imaging. Longitudinal information about cardio-renal-metabolic-pulmonary outcomes will be ascertained from linkages to EHR data. The study is funded by the British Heart Foundation (CC/22/250026). The study has ethical approval (North West - Greater Manchester South Research Ethics Committee reference 23/NW/0180). Findings will be announced at relevant conferences and published in peer-reviewed journals in line with the Funder's open access policy. The FIND-AF multi-centre prospective longitudinal cohort study aims to (i) provide evidence for the impact of comorbidities on AF genesis (ii) uncover actionable targets to prevent AF, and (iii) act as a platform for cohort randomised clinical trials that investigate enhanced detection and prevention of AF.

Multimodal three-dimensional characterization of murine skeletal muscle micro-scale elasticity, structure, and composition: Impact of dysferlinopathy, Duchenne muscular dystrophy, and age on three hind-limb muscles

Skeletal muscle tissue function is governed by the mechanical properties and organization of its components, including myofibers, extracellular matrix, and adipose tissue, which can be modified by the onset and progression of many disorders. This study used a novel combination of quantitative micro-elastography and clearing-enhanced three-dimensional (3D) microscopy to assess 3D micro-scale elasticity and micro-architecture of muscles from two muscular dystrophies: dysferlinopathy and Duchenne muscular dystrophy, using male BLA/J and mdx mice, respectively, and their wild-type (WT) controls. We examined three muscles with varying proportions of slow- and fast-twitch myofibers: the soleus (predominantly slow), extensor digitorum longus (EDL; fast), and quadriceps (mixed), from BLA/J and WTBLA/J mice aged 3, 10, and 24 months, and mdx and WTmdx mice aged 10 months. Both dysferlin deficiency and age reduced the elasticity and variability of elasticity of the soleus and quadriceps, but not EDL. Overall, the BLA/J soleus was 20% softer than WT and less mechanically heterogeneous (−14% in standard deviation of elasticity). The BLA/J quadriceps at 24 months was 72% softer than WT and less mechanically heterogeneous (−59% in standard deviation), with substantial adipose tissue accumulation. While mdx muscles did not differ quantitatively from WT, regional heterogeneity was evident in micro-scale elasticity and micro-architecture of quadriceps (e.g., 11.2 kPa in a region with marked pathology vs 3.8 kPa in a less affected area). These results demonstrate differing biomechanical changes in hind-limb muscles of two distinct muscular dystrophies, emphasizing the potential for this novel multimodal technique to identify important differences between various myopathies.

Abstract B081: In situ multi-modal characterization of pancreatic ductal adenocarcinoma reveals tumor cell identity as a defining factor of the surrounding microenvironment

Abstract Pancreatic Ductal Adenocarcinoma (PDAC) is heterogeneous with low tumor purity, prominent microenvironment and complex architecture, which preclude identification of shared tumor intrinsic biology within and across patients. We overcame these challenges by applying complementary spatial omics approaches – providing necessary resolution and context – to primary untreated PDAC tumors from 39 patients capturing 341,949 low-bulk and 531,718 single-cell spatial transcriptomes. Of these, 59,403 low-bulk profiles and 205,665 single-cells represented tumor cells. We leveraged this data to build on prior reports of tumor cell subtypes in PDAC. We identify 5 distinct malignant subtypes, excluding ductal-like and intraepithelial neoplasia cells, that span the classical-to-basal spectrum. One tumor subtype is highly proliferative and enriched for the DNA synthesis-condensation-mitosis transcriptional network suggesting this subset disproportionately contribute to tumor growth. Strikingly, the spectrum of tumor cell subtypes was present within all patients, suggesting that subtype-based treatment stratification may need refinement. We find that each subtype has its own distinct regulators and histology. The classical subtype has extensive cell intrinsic regulation, higher cell density and lower extracellular matrix content. In contrast, the basal subtype phenotype results from a combination of cell intrinsic and tumor microenvironment (TME) interactions, wherein the basal subtype has a lower cell density, is surrounded by activated stroma and dense collagen matrix, and is poised for hypoxic adaptation. We derive the composition of cellular neighborhoods providing an explanation for the complex architecture seen in PDAC. Tumor cell neighborhoods stratified based on which side of the classical-to-basal spectrum they fell. For example, cells towards the classical-side of the spectrum had more homogenous tumor neighborhoods that generally lacked intermediate and basal tumor cells. In contrast, cells towards the basal-side of the spectrum were likely to contain classical neighbors. More broadly, neighborhoods along this continuum also contained different proportions of immune and stromal cells, cell densities, collagen deposition, and TME adaptation. These observations support a model where tumor subtypes exist within disparate niches. Lastly, our atlas unifies the catalog of previously reported stromal cells (fibroblasts and stellate cells versus myofibroblastic and inflammatory cancer associated fibroblasts (CAF)) and describes a novel interferon stimulated gene (ISG) resistance signature (ISG.RS) fibroblast. We map the location of these various stromal cells relative to tumor subtypes. For example, myofibroblast CAFs and ISG.RS fibroblasts are enriched near the basal tumor subtype whereas inflammatory CAF abundance increases with distance away from tumor cells. In sum, our atlas provides a lens for stratifying tumor complexity in a cancer cell centric manner and provides a path for testing therapeutic hypothesis in the right cell subtype and context. Citation Format: Brian Rabe, Anna Lyubetskaya, Andrew Kavran, Yulong Bai, Andrew Fisher, Hannah Pliner, Alba Font-Tello, Anne Lewin, Ruifeng Hu, Alexandre P Alloy, Yelena Cheng, Chao Dai, Yunfan Fan, Constance Brett, Todd Brett, Lauren Giampapa, Soeren Stahlschmidt, Fayaz Seifuddin, Steven Vasquez Grinnell, Daniel Carrera, Carlos Rios, Tom Lila, Pradeep Kar, Abhishek Shukla, Rachael Bashford Rogers, Lara Heij, Mike Mason, Ryan Golhar, Isaac Neuhaus, Enas Abu Shah, Shivan Sivakumar, Jimena Trillo Tinoco, Benjamin J Chen, Konstantinos J Mavrakis, Eugene Drokhlyansky. In situ multi-modal characterization of pancreatic ductal adenocarcinoma reveals tumor cell identity as a defining factor of the surrounding microenvironment [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr B081.

Dilute Electrolytes with Fluorine‐Free Ether Solvents for 4.5 V Lithium Metal Batteries

AbstractThe limited oxidation stability of ether solvents has posed significant challenges for their applications in high‐voltage lithium metal batteries (LMBs). To tackle this issue, the prevailing strategy either adopts a high concentration of fluorinated salts or relies on highly fluorinated solvents, which will significantly increase the manufacturing cost and create severe environmental hazards. Herein, an alternative and sustainable salt engineering approach is proposed to enable the utilization of dilute electrolytes consisting of fluorine (F)‐free ethers in high‐voltage LMBs. The proposed 0.8 M electrolyte supports stable lithium plating‐stripping with a high Coulombic efficiency of 99.47 % and effectively mitigates the metal dissolution, phase transition, and gas release issues of the LiNi0.8Co0.1Mn0.1O2 (NCM811) cathode upon charging to high voltages. Consequently, the 4.5 V high‐loading Li||NCM 811 cell shows a capacity retention of 75.2 % after 300 cycles. Multimodal experimental characterizations coupled with theoretical investigations demonstrate that the boron‐containing salt plays a pivotal role in forming the passivation layers on both anode and cathode. The present simple and cost‐effective electrolyte design strategy offers a promising and alternative avenue for using commercially mature, environmentally benign, and low‐cost F‐free ethers in high‐voltage LMBs.

Dilute Electrolytes with Fluorine-Free Ether Solvents for 4.5 V Lithium Metal Batteries.

The limited oxidation stability of ether solvents has posed significant challenges for their applications in high-voltage lithium metal batteries (LMBs). To tackle this issue, the prevailing strategy either adopts a high concentration of fluorinated salts or relies on highly fluorinated solvents, which will significantly increase the manufacturing cost and create severe environmental hazards. Herein, an alternative and sustainable salt engineering approach is proposed to enable the utilization of dilute electrolytes consisting of fluorine (F)-free ethers in high-voltage LMBs. The proposed 0.8 M electrolyte supports stable lithium plating-stripping with a high Coulombic efficiency of 99.47 % and effectively mitigates the metal dissolution, phase transition, and gas release issues of the LiNi0.8Co0.1Mn0.1O2 (NCM811) cathode upon charging to high voltages. Consequently, the 4.5 V high-loading Li||NCM 811 cell shows a capacity retention of 75.2 % after 300 cycles. Multimodal experimental characterizations coupled with theoretical investigations demonstrate that the boron-containing salt plays a pivotal role in forming the passivation layers on both anode and cathode. The present simple and cost-effective electrolyte design strategy offers a promising and alternative avenue for using commercially mature, environmentally benign, and low-cost F-free ethers in high-voltage LMBs.

1135P Multi-modal and longitudinal characterization of the tumor and immune microenvironment of Merkel cell carcinoma

1135P Multi-modal and longitudinal characterization of the tumor and immune microenvironment of Merkel cell carcinoma

Stabilized Cuδ+-OH species on in situ reconstructed Cu nanoparticles for CO2-to-C2H4 conversion in neutral media

Achieving large-scale electrochemical CO2 reduction to multicarbon products with high selectivity using membrane electrode assembly (MEA) electrolyzers in neutral electrolyte is promising for carbon neutrality. However, the unsatisfactory multicarbon products selectivity and unclear reaction mechanisms in an MEA have hindered its further development. Here, we report a strategy that manipulates the interfacial microenvironment of Cu nanoparticles in an MEA to suppress hydrogen evolution reaction and enhance C2H4 conversion. In situ multimodal characterizations consistently reveal well-stabilized Cuδ+-OH species as active sites during MEA testing. The OH radicals generated in situ from water create a locally oxidative microenvironment on the copper surface, stabilizing the Cuδ+ species and leading to an irreversible and asynchronous change in morphology and valence, yielding high-curvature nanowhiskers. Consequently, we deliver a selective C2H4 production with a Faradaic efficiency of 55.6% ± 2.8 at 316 mA cm−2 in neutral media.

Crossing length scales: X-ray approaches to studying the structure of biological materials.

Biological materials have outstanding properties. With ease, challenging mechanical, optical or electrical properties are realised from comparatively `humble' building blocks. The key strategy to realise these properties is through extensive hierarchical structuring of the material from the millimetre to the nanometre scale in 3D. Though hierarchical structuring in biological materials has long been recognized, the 3D characterization of such structures remains a challenge. To understand the behaviour of materials, multimodal and multi-scale characterization approaches are needed. In this review, we outline current X-ray analysis approaches using the structures of bone and shells as examples. We show how recent advances have aided our understanding of hierarchical structures and their functions, and how these could be exploited for future research directions. We also discuss current roadblocks including radiation damage, data quantity and sample preparation, as well as strategies to address them.

Decoding The Playbook: Multi-Modal Characterization of Coordinated Influence Operations on Indian Social Media

Manipulation of online discourse through organized disinformation and propaganda campaigns is a threat to information integrity and democratic dialogue. Taking cues from on-ground reports and recent literature on online trend manipulation in the Indian political landscape, we argue that organizing and consequently detecting influence operations is a multi-modal problem, where coordination is organized around different modalities like tweet , retweet , image and temporal . In this paper, we examine three case studies of prominent hashtag campaigns on Indian Twitter. Building on prior coordination detection methods, we identify communities of coordinated users across each of the four modalities. An in-depth analysis of the coordinated communities offers unique insights into the playbook of coordination strategies employed in the Indian context. We find that tweet coordination is used for hashtag trending, while retweet coordination aids in amplifying messaging from influential right-wing accounts. Moreover, we find distinct roles of users across modalities, where users that disseminate content through tweet and image coordination ( disseminators ) are independent of users that amplify content through retweet coordination ( amplifiers ), suggesting the existence of distinct coordination campaigns and objectives within influence operations. We conclude by highlighting the multi-modal approach to coordination for comprehensively characterizing influence operations, the drawbacks of temporal filtering in coordination, and the transferability and implications of our findings.

Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn’s disease

Crohn’s disease (CD) is a complex chronic inflammatory disorder with both gastrointestinal and extra-intestinal manifestations associated immune dysregulation. Analyzing 202,359 cells from 170 specimens across 83 patients, we identify a distinct epithelial cell type in both terminal ileum and ascending colon (hereon as ‘LND’) with high expression of LCN2, NOS2, and DUOX2 and genes related to antimicrobial response and immunoregulation. LND cells, confirmed by in-situ RNA and protein imaging, are rare in non-IBD controls but expand in active CD, and actively interact with immune cells and specifically express IBD/CD susceptibility genes, suggesting a possible function in CD immunopathogenesis. Furthermore, we discover early and late LND subpopulations with different origins and developmental potential. A higher ratio of late-to-early LND cells correlates with better response to anti-TNF treatment. Our findings thus suggest a potential pathogenic role for LND cells in both Crohn’s ileitis and colitis.