Discovery Platform Research Articles

Exploring dysfunctional barrier phenotypes associated with glaucoma using a human pluripotent stem cell-based model of the neurovascular unit.

Glaucoma is a neurodegenerative disease that results in the degeneration of retinal ganglion cells (RGCs) and subsequent loss of vision. While RGCs are the primary cell type affected in glaucoma, neighboring cell types selectively modulate RGCs to maintain overall homeostasis. Among these neighboring cell types, astrocytes, microvascular endothelial cells (MVECs), and pericytes coordinate with neurons to form the neurovascular unit that provides a physical barrier to limit the passage of toxic materials from the blood into neural tissue. Previous studies have demonstrated that these barrier properties may be compromised in the progression of glaucoma, yet mechanisms by which this happens have remained incompletely understood. Thus, the goals of this study were to adapt a human pluripotent stem cell (hPSC)-based model of the neurovascular unit to the study of barrier integrity relevant to glaucoma. To achieve this, hPSCs were differentiated into the cell types that contribute to this barrier, including RGCs, astrocytes, and MVECs, then assembled into an established Transwell®-insert model. The ability of these cell types to contribute to an in vitro barrier model was tested for their ability to recapitulate characteristic barrier properties. Results revealed that barrier properties of MVECs were enhanced when cultured in the presence of RGCs and astrocytes compared to MVECs cultured alone. Conversely, the versatility of this system to model aspects of barrier dysfunction relevant to glaucoma was tested using an hPSC line with a glaucoma-specific Optineurin (E50K) mutation as well as a paired isogenic control, where MVECs then exhibited reduced barrier integrity. To identify factors that could result in barrier dysfunction, results revealed an increased expression of TGFβ2 in glaucoma-associated OPTN(E50K) astrocytes, indicating a potential role for TGFβ2 in disease manifestation. To test this hypothesis, we explored the ability to modulate exogenous TGFβ2 in both isogenic control and OPTN(E50K) experimental conditions. Collectively, the results of this study indicated that the repurposing of this in vitro barrier model for glaucoma reliably mimicked some aspects of barrier dysfunction, and may serve as a platform for drug discovery, as well as a powerful in vitro model to test the consequences of barrier dysfunction upon RGCs in glaucoma.

CanSAR 2024-an update to the public drug discovery knowledgebase.

canSAR (https://cansar.ai) continues to serve as the largest publicly available platform for cancer-focused drug discovery and translational research. It integrates multidisciplinary data from disparate and otherwise siloed public data sources as well as data curated uniquely for canSAR. In addition, canSAR deploys a suite of curation and standardization tools together with AI algorithms to generate new knowledge from these integrated data to inform hypothesis generation. Here we report the latest updates to canSAR. As well as increasing available data, we provide enhancements to our algorithms to improve the offering to the user. Notably, our enhancements include a revised ligandability classifier leveraging Positive Unlabeled Learning that finds twice as many ligandable opportunities across the pocketome, and our revised chemical standardization pipeline and hierarchy better enables the aggregation of structurally related molecular records.

IMMU-55. TUMOR-WIDE RNA SPLICING ABERRATIONS GENERATE IMMUNOGENIC PUBLIC NEOANTIGENS IN GLIOBLASTOMAS AND OTHER CANCER TYPES

Abstract BACKGROUND Immunotherapy in gliomas is limited by tumor heterogeneity and low mutational burden. Aberrant RNA-splicing (neojunctions) offers a new source for targets, and our neoantigen discovery platform (SNIPP) characterizes a novel class of clonally-expressed splicing-derived neoantigens that elicit a CD8+ T-cell-mediated tumor killing response. METHODS SNIPP identified public neojunctions expressed in TCGA RNA-seq (positive sample rate (PSR) > 10%) and not in GTEx normal tissue RNA-seq data (PSR < 1%) across 12 cancer types. To characterize intratumorally-conserved neojunctions, we performed maximally-distanced multi-site biopsies (n=535) within glioma patients (n=56) and obtained RNA-seq data from each intratumoral site. Two independent algorithms then predicted peptide processing likelihood and HLA-binding affinity of ASN candidates. Neoantigen-specific TCR sequences characterized from subsequent PBMC in vitro sensitization and 10x V(D)J scRNA-seq were transduced into CD8+ T-cells for immunogenicity and cytotoxicity assays against glioma cell lines. RESULTS Our pipeline identified 789 public neojunctions, with 32 neojunctions concurrently identified in transcriptomic and proteomic glioma data and predicted to be presented by HLA-A*02:01 with high confidence. IVS and subsequent 10x VDJ scRNA-seq identified TCR clonotypes reactive against neojunctions in RPL22 (n=7) and GNAS (n=1), the latter being highly intratumorally-conserved (detected in > 90% of spatially-mapped biopsies across 17/56 patients (26.78%)). TCR-transduced T-cells demonstrated recognition and immunogenic activation against endogenously processed and presented neoantigens in multiple GBM PDX cell lines, and co-culturing these T-cells against both glioblastoma and melanoma cell lines demonstrated tumor-specific cytotoxicity. Furthermore, IDH1-mutant oligodendroglioma samples demonstrated significantly elevated expression of neojunctions over IDH1-mutant astrocytoma and IDH1wt subtypes. Differential gene expression (DESeq2) identified decreased expression of splicing factors due to oligodendroglioma-specific co-deletion of Chromosomes 1p/19q. siRNA knockdown of these splicing factors (e.g. SF3A3, SNRPD2) in IDH1wt glioma cells resulted in significantly increased expression of corresponding neojunctions. CONCLUSION Our unique SNIPP neoantigen discovery platform identified novel public tumor-wide splice-derived neoantigens and reactive TCRs, and its pan-cancer application characterized candidates that are targetable across multiple diseases.

Engineered Cardiac Tissues as a Platform for CRISPR-Based Mitogen Discovery.

Improved understanding of cardiomyocyte (CM) cell cycle regulation may allow researchers to stimulate pro-regenerative effects in injured hearts or promote maturation of human stem cell-derived CMs. Gene therapies, in particular, hold promise to induce controlled proliferation of endogenous or transplanted CMs via transient activation of mitogenic processes. Methods to identify and characterize candidate cardiac mitogens in vitro can accelerate translational efforts and contribute to the understanding of the complex regulatory landscape of CM proliferation and postnatal maturation. In this study, A CRISPR knockout-based screening strategy using in vitro neonatal rat ventricular myocyte (NRVM) monolayers is established, followed by candidate mitogen validation in mature 3-D engineered cardiac tissues (ECTs). This screen identified knockout of the purine metabolism enzyme adenosine deaminase (ADA-KO) as an effective pro-mitogenic stimulus. RNA-sequencing of ECTs further reveals increased pentose phosphate pathway (PPP) activity as the primary driver of ADA-KO-induced CM cycling. Inhibition of the pathway's rate limiting enzyme, glucose-6-phosphate dehydrogenase (G6PD), prevented ADA-KO induced CM cycling, while increasing PPPactivityviaG6PD overexpression increased CM cycling. Together, this study demonstrates the development and application of a genetic/tissue engineering platform forin vitrodiscovery and validation of new candidate mitogens affecting regenerative or maturation states of cardiomyocytes.

Association of urinary EGF, FABP3, and VCAM1 levels with the progression of early diabetic kidney disease.

Introduction Diabetic kidney disease (DKD) is a common cause of chronic kidney disease with around 25-40% of patients with diabetes being affected. The course of DKD is variable and estimated glomerular filtration rate (eGFR) and albuminuria, the currently used clinical markers, are not able to accurately predict the individual disease trajectory, in particular in early stages of the disease. The aim of this study was to assess the association of urine levels of selected protein biomarkers with the progression of DKD at an early stage of disease. Methods We measured 22 protein biomarkers using the Mesoscale Discovery platform in 461 urine samples of the PROVALID cohort, an observational study of patients with type 2 diabetes mellitus followed at the primary health care level for a minimum of four years. Odds ratios (OR) were estimated for the effect of marker values above median on fast progression using unadjusted and adjusted logistic regression models. RNA expression at the single cell level in kidney biopsy samples obtained from a cohort of young persons with type 2 diabetes mellitus was in addition determined for markers showing significant associations with disease progression. Results Increased urinary levels of epidermal growth factor (EGF) were linked to lower odds of fast progression (defined as annual eGFR decline greater than 2.58 ml/min per 1.73 m2) with an odds ratio (OR) of 0.60 (95% CI 0.46, 0.78). The association with outcome was even stronger when adjusting for a set of 14 baseline clinical parameters including age, biological sex, eGFR, body mass index, albuminuria, and HbA1c. Elevated urinary levels of fatty acid binding protein 3 (FABP3) and vascular cell adhesion molecule 1 (VCAM1) were each significantly associated with fast progression with an OR of 1.44 (95% CI 1.11, 1.87) and an OR of 1.41 (95% CI 1.08, 1.83), respectively. Enriched expression of EGF and FABP3 was observed in distal convoluted tubular cells and VCAM1 in parietal epithelial cells at single cell level from biopsies of patients with early DKD. Conclusion In summary we show that lower urinary levels of EGF and higher urinary levels of FABP3 and VCAM1 are significantly associated with DKD progression in early-stage disease.

Deep functional measurements of Fragile X syndrome human neurons reveal multiparametric electrophysiological disease phenotype

Fragile X syndrome (FXS) is a neurodevelopmental disorder caused by hypermethylation of expanded CGG repeats (>200) in the FMR1 gene leading to gene silencing and loss of Fragile X Messenger Ribonucleoprotein (FMRP) expression. FMRP plays important roles in neuronal function, and loss of FMRP in mouse and human FXS cell models leads to aberrant synaptic signaling and hyperexcitability. Multiple drug candidates have advanced into clinical trials for FXS, but no efficacious treatment has been identified to date, possibly as a consequence of poor translation from pre-clinical animal models to human. Here, we use a high resolution all-optical electrophysiology platform applied to multiple FXS patient-derived and CRISPR/Cas9-generated isogenic neuronal cell lines to develop a multi-parametric FXS disease phenotype. This neurophysiological phenotype was optimized and validated into a high throughput assay based on the amount of FMRP re-expression and the number of healthy neurons in a mosaic network necessary for functional rescue. The resulting highly sensitive and multiparameter functional assay can now be applied as a discovery platform to explore new therapeutic approaches for the treatment of FXS.

Rapid-response RNA-fluorescence in situ hybridization (FISH) assay platform for coronavirus antiviral high-throughput screening

Over the past 25 years, the global community has faced challenges posed by three distinct outbreaks of coronaviruses including severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The identification of a novel alphacoronavirus canine CoV (CCoV-HuPn2018) in human patients in Malaysia underscores the potential for crossover infections to humans. The threat of the ever-evolving nature of viral infections as well as the lingering health and socioeconomic effects of the recent SARS-CoV-2 pandemic emphasize the urgent need for advanced antiviral drug screening tools that can be quickly implemented to strengthen preparedness and preventive measures against future outbreaks. Here, we present the development and validation of a novel RNA-fluorescence in situ hybridization (FISH) imaging assay as a 384-well, high-throughput rapid response platform for antiviral drug discovery. RNA-FISH is a powerful tool to visualize specific mRNA in cultured cells using a high-content imaging platform. The flexibility of RNA-FISH probe sets allows for the rapid design of viral genome-specific probes, enabling in vitro assay development to test for inhibition of viral replication by either biologic or small molecule inhibitors. Screening of 170 antiviral compounds in concentration-response demonstrates a strong correlation between the RNA-FISH assay and an immunofluorescence assay (IFA) for both human coronaviruses HCoV-OC43 and HCoV-229E. Additionally, we successfully applied this methodology in the context of CCoV strain 1–71, proving rapid development and deployment, opening new avenues for the evaluation of antiviral drugs to potential future emerging threats.

MMV 1804559 is a potential antistaphylococcal and antibiofilm agent targeting the clfA gene of Staphylococcus aureus.

Staphylococcus aureus, a high-priority pathogen proclaimed to cause infections ranging from mild to life-threatening, presents significant challenges in treatment. New therapies can be developed quicker using open drug discovery platforms offering a distinct approach to expedite the development of innovative antibacterial and anti-biofilm therapeutics. This study set out to address these issues by finding new uses for current medications to find compounds that are effective against S. aureus. In this study, we screened the global priority health box, launched by Medicines for Malaria Ventures containing 240 compounds, for their effectiveness against S. aureus. MMV1795508, MMV1542799, MMV027331, MMV1593278, and MMV1804559 showed potential antibacterial activity at 10µM concentration. These compounds underwent further evaluation for their ability to clear intracellular bacteria, disrupt biofilm formation and eradicate existing biofilms. MMV1804559 demonstrated strong efficacy across all tested parameters, achieving 94% inhibition of intracellular bacteria, 79.19% disruption of biofilm cells, and 66.18% inhibition of biofilm formation. Scanning electron microscopy revealed notable membrane perforations and blebbing in MMV1804559-treated cells, indicating its impact on bacterial membranes. Gene expression analysis of cells treated with MMV1804559 showed downregulation of clfA and clfB genes, critical for biofilm formation. Additionally, docking studies confirmed the binding affinity of MMV1804559 with clfA, supported by favorable docking scores, MM/GBSA binding energy, and increased hydrogen bond interactions in the binding pocket, suggesting clfA as a target for MMV1804559. MMV1804559 could serve as a potential therapy for S. aureus by targeting biofilm development and cell adhesion processes.

Linking antibody against apolipoprotein A-1 to metabolic dysfunction-associated steatohepatitis in mice

Abstract Background Metabolic dysfunction-associated fatty liver disease (MASLD) is a common liver condition associated with increased cardiovascular disease (CVD) risk. Cytokeratin 18 (CK-18) is indicative of liver injury and used as a surrogate biomarker covering MASLD to cirrhosis phenotypes. Autoantibodies against apolipoprotein A-1 (AAA-1) are known CVD risk factors inducing MASLD in vitro, but their role in modulating steatohepatitis and fibrosis in vivo is still elusive. We investigated AAA-1's contribution to systemic low-grade inflammation, liver steatosis, and fibrosis using a MASLD mouse model and a validated passive immunization protocol (PIP). Methods 10 weeks-old male C57BL/6J mice were fed a choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) and immunized with AAA-1 (200ug) or control antibodies for ten days. At sacrifice, plasma samples were collected, and CK-18 levels, and proinflammatory cytokines were measured using the Mesoscale Discovery platform. Hematoxylin and Eosin and Sirius Red Fast Green staining were used to reveal liver steatosis and fibrosis, respectively. RNA were extracted from mouse liver samples and mRNA were then analyzed using a commercial fibrosis-specific genes panel (nCounter Human Fibrosis V2 Panel) and the nCounter Analysis System. Results Compared to control IgG recipients, CDAHFD mice injected with AAA-1 exhibited significantly elevated plasma levels of CK-18 (5.3 vs 2.1, p=0.031), IL-6 (13 vs 6.9, p=0.035), IL-10 (27.3 vs 9.8, p=0.007) and TNF-α (32.1 vs 24.2, p=0.032), and liver steatosis (93.4% vs 73.8%, p=0.007). Nanostring technology experiments revealed upregulation of several pro-fibrotic m-RNAs in liver tissue from AAA-1 immunized mice compared to the IgG immunized control group. These included Serum Amyloid A (Fold Change (FC) AAA-1 vs IgG : 2.5, p=0.02) , G-protein coupled receptors 65 (FC: 2.7, p=0.01), Periostin (FC: 2.6, p=0.001), Phospholipid transfer protein (FC: 2.2, p=0.0004), Vascular Cell Adhesion Molecule 1 (FC: 2.5, p=0.02) and Angiopoietin-like 4 (FC: 2.8, p=0.01). Histologically, the amount of liver fibrosis remained unaffected, probably due to the short time of the study. Conclusions Short AAA-1 PIP induced enhanced liver steatosis and inflammation accompanied by an elevation of the expression of several pro-fibrotic genes in CDAHFD mice, suggesting that AAA-1 may contribute to the transition from MASLD to MASH. Knowing whether increased exposure time to AAA-1 could lead to end stage disease (including cirrhosis and HCC), and if this could apply to humans as well warrant further investigations.

CACNA1A haploinsufficiency leads to reduced synaptic function and increased intrinsic excitability.

Haploinsufficiency of the CACNA1A gene, encoding the pore-forming α1 subunit of P/Q-type voltage-gated calcium channels, is associated with a clinically variable phenotype ranging from cerebellar ataxia, to neurodevelopmental syndromes with epilepsy and intellectual disability. To understand the pathological mechanisms of CACNA1A loss-of-function variants, we characterized a human neuronal model for CACNA1A haploinsufficiency, by differentiating isogenic induced pluripotent stem cell lines into glutamatergic neurons, and investigated the effect of CACNA1A haploinsufficiency on mature neuronal networks through a combination of electrophysiology, gene expression analysis, and in silico modeling. We observed an altered network synchronization in CACNA1A+/- networks alongside synaptic deficits, notably marked by an augmented contribution of GluA2-lacking AMPA receptors. Intriguingly, these synaptic perturbations coexisted with increased non-synaptically driven activity, as characterized by inhibition of NMDA and AMPA receptors on micro-electrode arrays. Single-cell electrophysiology and gene expression analysis corroborated this increased intrinsic excitability through reduced potassium channel function and expression. Moreover, we observed partial mitigation of the CACNA1A+/- network phenotype by 4-aminopyridine, a therapeutic intervention for episodic ataxia type 2. Positive modulation of KCa2 channels could reverse the CACNA1A+/- network electrophysiological phenotype. In summary, our study pioneers the characterization of a human induced pluripotent stem cell-derived neuronal model for CACNA1A haploinsufficiency, and has unveiled novel mechanistic insights. Beyond showcasing synaptic deficits, this neuronal model exhibited increased intrinsic excitability mediated by diminished potassium channel function, underscoring its potential as a therapeutic discovery platform with predictive validity.

Understanding Comorbidities of Respiratory Models as Novel Platforms for Drug Discovery.

Chronic respiratory diseases affect over 450 million people worldwide and result in 4 million deaths per year. The majority of lung diseases are treated with drugs delivered directly to the lungs. However, there is bidirectional crosstalk between the lung and other organs/tissues in health and disease. This crosstalk supports targeting of extrapulmonary sites in addition to the lung to improve the comorbidities associated with lung disease. However, new preclinical in vivo and in vitro assays that model the human pathophysiology are required. In this review, we showcase the latest knowledge of the bidirectional relationship between the respiratory system and organs affected by comorbidities such as obesity and atherosclerosis. We also discuss the impact of new cell culture systems, including complex 3D culture models that may be used as platforms to generate disease insights and for drug discovery. This review highlights work presented by Respiratory and Inflammation Special Interest Group researchers as part of the Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists (ASCEPT) annual scientific meeting in 2023.

Electronic structure simulations in the cloud computing environment.

The transformative impact of modern computational paradigms and technologies, such as high-performance computing (HPC), quantum computing, and cloud computing, has opened up profound new opportunities for scientific simulations. Scalable computational chemistry is one beneficiary of this technological progress. The main focus of this paper is on the performance of various quantum chemical formulations, ranging from low-order methods to high-accuracy approaches, implemented in different computational chemistry packages and libraries, such as NWChem, NWChemEx, Scalable Predictive Methods for Excitations and Correlated Phenomena, ExaChem, and Fermi-Löwdin orbital self-interaction correction on Azure Quantum Elements, Microsoft's cloud services platform for scientific discovery. We pay particular attention to the intricate workflows for performing complex chemistry simulations, associated data curation, and mechanisms for accuracy assessment, which is demonstrated with the Arrows automated workflow for high throughput simulations. Finally, we provide a perspective on the role of cloud computing in supporting the mission of leadership computational facilities.

Reaching New Heights in Genetic Code Manipulation with High Throughput Screening.

The chemical and physical properties of proteins are limited by the 20 canonical amino acids. Genetic code manipulation allows for the incorporation of noncanonical amino acids (ncAAs) that enhance or alter protein functionality. This review explores advances in the three main strategies for introducing ncAAs into biosynthesized proteins, focusing on the role of high throughput screening in these advancements. The first section discusses engineering aminoacyl-tRNA synthetases (aaRSs) and tRNAs, emphasizing how novel selection methods improve characteristics including ncAA incorporation efficiency and selectivity. The second section examines high-throughput techniques for improving protein translation machinery, enabling accommodation of alternative genetic codes. This includes opportunities to enhance ncAA incorporation through engineering cellular components unrelated to translation. The final section highlights various discovery platforms for high-throughput screening of ncAA-containing proteins, showcasing innovative binding ligands and enzymes that are challenging to create with only canonical amino acids. These advances have led to promising drug leads and biocatalysts. Overall, the ability to discover unexpected functionalities through high-throughput methods significantly influences ncAA incorporation and its applications. Future innovations in experimental techniques, along with advancements in computational protein design and machine learning, are poised to further elevate this field.

Semisynthetic Phage Display Library Construction: Generation of Single-Chain Variable Fragment Secondary Libraries.

Display of antibody fragments on the surface of M13 filamentous bacteriophages is a well-established approach for the identification of antibodies binding to a target of interest. Here, we describe the third and final step of a three-step method to construct Antibody Libraries for Therapeutic Antibody Discovery (ALTHEA) Libraries. The three-step method involves (1) primary library construction, (2) filtered library (FL) construction, and (3) secondary library (SL) construction. In the third step, described here, the nucleotide sequences encoding the single-chain variable fragments (scFvs) of FLs are amplified by PCR and combined with the heavy- chain CDR3 region (HCDR3) and joining fragments (H3J) obtained from a pool of donors to maximize diversity ("natural H3J fragments"). These natural H3J fragments are amplified with a set of primers designed to capture >95% of the natural H3J repertoire. The resultant fragments replace the neutral H3J fragments of the FLs, resulting in the final semisynthetic secondary libraries. The quality of these libraries is assessed by sequencing clones chosen at random from the libraries, typically 96 clones. These libraries are then ready to be used for phage selections on targets of interest, providing a robust antibody discovery platform.

Xenotransplanted human organoids identify transepithelial zinc transport as a key mediator of intestinal adaptation

Short bowel syndrome (SBS) leads to severe morbidity and mortality. Intestinal adaptation is crucial in improving outcomes. To understand the human gene pathways associated with adaptation, we perform single-cell transcriptomic analysis of human small intestinal organoids explanted from mice with experimental SBS. We show that transmembrane ion pathways, specifically the transepithelial zinc transport pathway genes SLC39A4 and SLC39A5, are upregulated in SBS. This discovery is corroborated by an external dataset, bulk RT-qPCR, and Western blots. Oral zinc supplementation is shown to improve survival and weight gain of SBS mice and increase the proliferation of intestinal crypt cells in vitro. Finally, we identify the upregulation of SLC39A5 and associated transcription factor KLF5 in biopsied intestinal tissue specimens from patients with SBS. Thus, we identify zinc supplementation as a potential therapy for SBS and describe a xenotransplantation model that provides a platform for discovery in other intestinal diseases.

12331 Overcoming Limitations Of Identifying Proliferating β-cells In Dispersed Primary Islets Culture For Drug Discovery

Abstract Disclosure: H. Xu: None. S. Rebecca: None. S. Lee: None. J.P. Annes: None. Tremendous efforts have been made with screening platforms to identify islet β-cell mitogens that may be used to treat diabetes. However, promising compounds induce profound proliferation of islet non-β-cells in available screening platforms, calling for both β-cell targeted drug discovery and rigorous identification of β-cell identity to reduce false positivity. First, we used an established drug discovery dispersed islet cell-based platform(2D) to test the replication-promoting activity of GNF2133, a selective DYRK1A inhibitor that promotes β-cell proliferation, in isolated islets from human, rat and mouse. After 72 h in vitro culture, replication of non-β cells (PDX/Insulin negative) contributed to over 60% of the total replicating cells (Ki67+) in all species (human: 64%, rat: 71%, mouse: 67%). Mouse islets, which exhibit the greatest non-β-cell replication response upon GNF2133 treatment (4-fold above baseline, [50 nM]), were selected for subsequent studies. Next, we evaluated identification efficiency of β cell markers in this image-based platform. β cells, selected by the quantification value of insulin intensity, comprised 60-70% of total cell population at 48 h, 50-60% at 72 h and 20-30% at 96 h (p< 0.0001 for both comparisons: 48 h vs 72 h, 72 h vs 96 h). Basal replication of β-cells (Insulin+Ki67+) was 2.80%, 2.32%, 0.85% at 48 h, 72 h and 96 h, respectively. By comparison, the proportion of non-β cells showed an increasing trend as 2.48%, 6.49%, 8.68%, correspondingly. Identification with PDX1, another β cell marker, exhibited the same findings. Prolonged culture of dispersed islet cells, as these results indicate, favors growth of non-β-cells over β-cells. In addition, proliferating β-cells express lower levels of differentiation markers makes their discernment from replicating non-β cells more challenging. 窗体顶端 To minimize the duration of monolayer culture, replication induction was measured using intact islets with addition of BrdU during the last 24 h of culture. Then, islets were either directly fixed (3D) or dispersed and cultured for an additional 36 hour before being fixed (3D+2D). Immunostaining showed 70-80% PDX1 positive cells from both methods, which resembles in vivo β cell distribution within primary mouse islets. Basal β-cell replication in 3D+2D method was 0.30%, similar to in vivo BrdU labelling level. Upon mitogen treatment, PDX1+BrdU+ cells increased to 6.57% in 3D+2D method, slightly lower than 10.02% in 3D assay (p<0.05) yet significantly higher than 1.15% in 2D assay (<0.01). In summary, we developed a 3D+2D assay that enhances β-cell survival and the β-cell replication-induction response. This platform, while offering reduced throughput, provides a robust platform for discovery of β-cell replication-promoting compounds. Further validation with human islets is needed. Presentation: 6/2/2024

Hepatic retinol dehydrogenase 11 dampens stress associated with the maintenance of cellular cholesterol levels

ObjectiveDysregulation of hepatic cholesterol metabolism can contribute to elevated circulating cholesterol levels, which is a significant risk factor for cardiovascular disease. Cholesterol homeostasis in mammalian cells is tightly regulated by an integrated network of transcriptional and post-transcriptional signalling pathways. Whilst prior studies have identified many of the central regulators of these pathways, the extended supporting networks remain to be fully elucidated. MethodsHere, we leveraged an integrated discovery platform, combining multi-omics data from 107 strains of mice to investigate these supporting networks. We identified retinol dehydrogenase 11 (RDH11; also known as SCALD) as a novel protein associated with cholesterol metabolism. Prior studies have suggested that RDH11 may be regulated by alterations in cellular cholesterol status, but its specific roles in this pathway are mostly unknown. ResultsHere, we show that mice fed a Western diet (high fat, high cholesterol) exhibited a significant reduction in hepatic Rdh11 mRNA expression. Conversely, mice treated with a statin (3-hydroxy-3-methyl-glutaryl-coenzyme A reductase (HMGCR) inhibitor) exhibited a 2-fold increase in hepatic Rdh11 mRNA expression. Studies in human and mouse hepatocytes demonstrated that RDH11 expression was regulated by altered cellular cholesterol conditions in a manner consistent with SREBP2 target genes HMGCR and LDLR. Modulation of RDH11 in vitro and in vivo demonstrated modulation of pathways associated with cholesterol metabolism, inflammation and cellular stress. Finally, RDH11 silencing in mouse liver was associated with a reduction in hepatic cardiolipin abundance and a concomitant reduction in the abundance of proteins of the mitochondrial electron transport chain. ConclusionTaken together, these findings suggest that RDH11 likely plays a role in protecting cells against the cellular toxicity that can arise as a by-product of endogenous cellular cholesterol synthesis.

Heatmaps: A Tool for Studying Book Selection Preferences on Discovery Platforms

ABSTRACTThis study evaluates the usefulness of heatmaps in understanding user preferences during book selection in online discovery platforms. It compares two heatmaps generated from user clicks and eye‐tracking data to identify key metadata influencing readers' choices. Initial results indicate that click heatmaps can be a useful tool for this type of investigation, especially considering the cost of eye‐tracking, which is typically used to generate attention heatmaps.

374 (PB362): Ba/F3 AKT engineering cell lines, a powerful platform for novel drug discovery

374 (PB362): Ba/F3 AKT engineering cell lines, a powerful platform for novel drug discovery

Reactive astrocytes generated from human iPSC are pro-inflammatory and display altered metabolism

Astrocytes are the most abundant type of glial cell in the central nervous system and they play pivotal roles in both normal health and disease. Their dysfunction is detrimental to many brain related pathologies. Under pathological conditions, such as Alzheimer's disease, astrocytes adopt an activated reactive phenotype which can contribute to disease progression. A prominent risk factor for many neurodegenerative diseases is neuroinflammation which is the purview of glial cells, such as astrocytes and microglia. Human in vitro models have the potential to reveal relevant disease specific mechanisms, through the study of individual cell types such as astrocytes or the addition of specific factors, such as those secreted by microglia. The aim of this study was to generate human cortical astrocytes, in order to assess their protein and gene expression, examine their reactivity profile in response to exposure to the microglial secreted factors IL-1α, TNFα and C1q and assess their functionality in terms of calcium signalling and metabolism. The successfully differentiated and stimulated reactive astrocytes display increased IL-6, RANTES and GM-CSF secretion, and increased expression of genes associated with reactivity including, IL-6, ICAM1, LCN2, C3 and SERPINA3. Functional assessment of these reactive astrocytes showed a delayed and sustained calcium response to ATP and a concomitant decrease in the expression of connexin–43. Furthermore, it was demonstrated these astrocytes had an increased glycolytic capacity with no effect on oxidative phosphorylation. These findings not only increase our understanding of astrocyte reactivity but also provides a functional platform for drug discovery.