Biology subjects

Solaroglu, I.

Publications and source records attributed to Solaroglu, I..

5 recordsLinked to original sources

bioRxiv2026

Glio-SERS: Label-Free Molecular Profiling of Plasma Extracellular Vesicles in Brain Tumors Using SERS and Artificial Intelligence

Extracellular vesicles are increasingly recognized as important carriers of disease-associated molecular information, yet robust methods for their isolation and molecular characterization from limited clinical samples remain challenging. Here, we present an integrated approach combining standardized EV isolation, label-free Surface-Enhanced Raman Spectroscopy (SERS), and artificial intelligence (AI) for comprehensive molecular profiling of small extracellular vesicles (sEVs) from human plasma. Here, we show systematically isolated and characterized plasma sEVs using ExoTIC in accordance with MISEV2023 guidelines, with SERS analysis revealing quantifiable spectral differences across samples from patients with glioblastoma (n=20) and meningioma (n=23) compared to healthy controls (n=30). Among the evaluated AI models, the convolutional neural network most effectively captured group-level spectral differences in sEVs, achieving accuracies up to 88% in this pilot cohort. Further, an EGFR-based spectral regression model was explored to examine molecular variability across sEV samples. Parallel proteomic analysis presented statistically significant differences in several proteins elevated in glioblastoma or meningioma. This label-free, rapid approach provides a proof-of-concept framework for sEV molecular profiling establishing the basis for broad validation studies across diverse diseases.

bioengineering↗

bioRxiv2023

Extracellular matrix sulfation in the tumor microenvironment stimulates cancer stemness and invasiveness

Tumor extracellular matrices (ECM) exhibit aberrant changes in composition and mechanics compared to normal tissues. Proteoglycans (PG) are vital regulators of cellular signaling in the ECM with ability to modulate receptor tyrosine kinase (RTK) activation via their sulfated glycosaminoglycan (sGAG) side chains. However, their role on tumor cell behavior is controversial. Here, we demonstrate that PGs are heavily expressed in lung adenocarcinoma patients in correlation with invasive phenotype and poor prognosis. We developed a bioengineered human lung tumor model which recapitulates the increase of sGAGs in tumors in an organotypic matrix with independent control of stiffness, viscoelasticity, ligand density and porosity. Our model reveals that increased sulfation stimulates extensive proliferation, epithelial-mesenchymal transition and stemness in cancer cells. We identified the FAK-PI3K-mTOR signaling axis as a mediator of sulfation-induced molecular changes in cells upon activation of a distinct set of RTKs within tumor-mimetic hydrogels. We demonstrate that the transcriptomic landscape of tumor cells in response to increased sulfation resembles native PG-rich patient tumors through employing integrative omics and network modeling approaches.

bioengineering↗

bioRxiv2022

Chronically radiation-exposed survivor glioblastoma cells display poor response to Chk1 inhibition

Glioblastoma is the most common type of primary brain tumor with an aggressive clinical course, and one of the cornerstones in its treatment regimen is radiotherapy. However, tumor cells surviving after radiation is an indicator of treatment failure; therefore, better understanding of the molecular mechanisms regulating radiotherapy response is of utmost importance. In this study, we generated multiple clinically relevant irradiation exposed models, where we applied fractionated radiotherapy over a long period of time and selected irradiation-survivor (IR-Surv) glioblastoma cell populations. In these cells, we examined the transcriptomic alterations, cell cycle and growth rate changes as well as responses to secondary radiotherapy and DNA damage response (DDR) modulators. Accordingly, IR-Surv cells exhibited slower growth and partly retained their ability to resist secondary irradiation. Transcriptomic analysis revealed that IR-Surv cells upregulated the expression of DDR-related genes, such as CHK1, ATM, ATR, MGMT, and had better DNA repair capacity as an adaptive mechanism. Separately, we report IR-Surv cells to display downregulation of hypoxic signature and the lower induction of hypoxia target genes and not exhibiting the same level of hypoxia-induced changes with naive glioblastoma cells, as gauged by exposing cells to different hypoxia conditions. We also showed that Chk1 inhibition alone or in combination with irradiation significantly reduces cell viability in both naive and IR-Surv cells. However, IR-Surv cells were markedly less sensitive to Chk1 inhibition under hypoxic conditions. In conclusion, consistent with previous reports, we demonstrate the utility of combining DDR inhibitors and irradiation as a successful approach for both naive and IR-Surv glioblastoma cells as long as cells are refrained from hypoxic conditions. Thus, our findings with clinically relevant radiation survivor models will have future translational implications and benefit the optimization of combination therapies for glioblastoma patients.

cancer biology↗

bioRxiv2021

Protein scaffold-based multimerization of soluble ACE2 efficiently blocks SARS-CoV-2 infection in vitro

Soluble ACE2 (sACE2) decoy receptors are promising agents to inhibit SARS-CoV-2, as their efficiency is less likely to be affected by common escape mutations in viral proteins. However, their success may be limited by their relatively poor potency. To address this challenge, we developed a large decoy library of sACE2 fusion proteins, generated with several protease inhibitors or multimerization tags. Among these decoys, multimeric sACE2 consisting of SunTag or MoonTag systems, which were originally utilized for signal amplification or gene activation systems, were extremely effective in neutralizing SARS-CoV-2 in pseudoviral systems and in clinical isolates. These novel sACE2 fusion proteins exhibited greater than 100-fold SARS-CoV-2 neutralization efficiency, compared to monomeric sACE2. SunTag or MoonTag in combination with a more potent version of sACE2, which has multiple point mutations for greater binding (v1), achieved near complete neutralization at a sub-nanomolar range, comparable with clinical monoclonal antibodies. Pseudoviruses bearing mutant versions of Spike, alpha, beta, gamma or delta variants, were also neutralized efficiently with SunTag or MoonTag fused sACE2(v1). Finally, therapeutic treatment of sACE2(v1)-MoonTag provided protection against SARS-CoV-2 infection in an in vivo mouse model. Overall, we suggest that the superior activity of the sACE2-SunTag or sACE2-MoonTag fusions is due to the greater occupancy of the multimeric sACE2 receptors on Spike protein as compared to monomeric sACE2. Therefore, these highly potent multimeric sACE2 decoy receptors may offer a promising treatment approach against SARS-CoV-2 infections. One Sentence SummaryMultimerization of sACE2 markedly enhanced the neutralization of SARS-CoV-2 by blocking multiple viral spike proteins simultaneously.

molecular biology↗

bioRxiv2020

Combined inhibition of KDM6A/B and HDACs exacerbates integrated stress response and mediates therapeutic effects in IDH1-mutant glioma

BackgroundIDH1/2-mutant gliomas are primary brain tumors for which curative treatments are lacking. Mutant IDH-dependent 2-hydroxyglutarate (2-HG) accumulation leads to DNA and histone hypermethylation. Based on this distinct phenotype, we interrogated epigenetic dependencies of IDH-mutant glioma that can be targeted therapeutically. MethodsWe conducted a chemical screen targeting chromatin modifiers in patient derived IDH1-mutant GBM cells. We investigated mechanisms of action of compound hits and their combinations through cell-based functional assays, live-cell imaging, Western blot, CRISPR knockout, RNA-seq and ChIP experiments. The therapeutic concept was validated in vivo using chemical inhibitors GSK-J4 and Belinostat in an orthotopic GBM model. ResultsWe identified the H3K27me3 demethylase (KDM6) inhibitor GSK-J4 and histone deacetylase inhibitor Belinostat as potent, genotype-selective agents against IDH1-mutant glioma. RNA-sequencing on paired wild-type and IDH1R132H cells revealed inhibition of cholesterol biosynthesis and activation of cellular stress in IDH1R132H cells, which were reversible with a mutant IDH1 inhibitor. GSK-J4 caused further repression of cholesterol biosynthesis pathway genes through H3K27me3 deposition and exacerbated the ATF4-mediated integrated stress response. Belinostat inhibited anti-apoptotic pathways through activation of TGF-{beta} signaling and induced cell cycle arrest. Together, the GSK-J4 and Belinostat combination activated DDIT3/CHOP-dependent apoptosis in IDH1-mutant cells and extended survival in an IDH1-mutant orthotopic model in vivo. ConclusionsThese results provide a possible therapeutic approach that exploits epigenetic vulnerabilities of IDH-mutant gliomas. Key points- Combination of GSK-J4 and Belinostat selectively targets IDH1-mutant cells. - GSK-J4 downregulates cholesterol biosynthesis and activates an ATF4-mediated stress response. - Belinostat activates the TGF{beta} pathway, induces G2/M arrest and inhibits anti-apoptotic pathways. Importance of the studyIDH1/2 genes are frequently mutated in low grade glioma and secondary glioblastoma. These tumors exhibit a distinct epigenomic signature with increased DNA and histone methylation; therefore, identifying and exploiting their epigenetic vulnerabilities may lead to effective therapies. We discovered that targeting of KDM6A/6B together with HDACs provides a promising therapeutic approach for IDH1-mutant glioma.

cancer biology↗