Biology subjects

Kayabolen, A.

Publications and source records attributed to Kayabolen, A..

10 recordsLinked to original sources

bioRxiv2026

DDRKOL: A Focused CRISPR Library for Systematic Identification of DNA Damage Response Dependencies in Glioblastoma

Background: DNA damage response (DDR) pathways are central regulators of genome maintenance and major determinants of cancer cell survival. The extensive genomic instability and high replicative stress that characterize glioblastoma render tumor cells highly dependent on DDR pathways to preserve genome integrity and sustain proliferation. This reliance creates potential therapeutic vulnerabilities, making the systematic identification of essential DDR genes a promising strategy for uncovering novel therapeutic targets. Methods: We developed DNA Damage Response KnockOut Library (DDRKOL), a custom CRISPR/Cas9 sgRNA library targeting 819 DDR genes with approximately 10 sgRNAs per gene, together with positive (essential), negative (non-essential) and non-targeting controls. Parallel depletion screens were performed in Cas9-expressing U87-MG and A172 cells cultured for 15 population doublings. Hits were prioritized utilizing TCGA and DepMap databases and validated by viability, clonogenic, apoptosis and GFP competition assays. Clinically relevant patient-derived glioblastoma spheroids and an orthotopic xenograft model was employed to characterize the effects of hit genes. Results: Sequencing confirmed near-complete recovery of the designed sgRNAs from the plasmid pool, with uniform representation across the library and complexity preserved through transduction and selection. Essential-gene controls depleted strongly while non-targeting controls remained neutral, confirming screen performance in both cell lines. The screens identified DDR dependencies in each line and defined a shared core composed of 20 genes belonging to homologous recombination, nucleotide excision repair and ATM/DSB signaling pathways. This shared dependency landscape highlighted four high-confidence candidate genes (TOP2A, CDK1, XRCC6, and RAD21), which were successfully validated across multiple orthogonal assays. These genes displayed grade-associated expression and their expressions were positively correlated with proliferation markers in TCGA. Individual knockouts reduced viability, colony formation and competitive fitness, induced apoptosis, and impaired growth of patient-derived glioblastoma spheroids. Both genetic depletion and pharmacological inhibition of TOP2A induced S/G2-M cell cycle arrest. In orthotopic xenografts, TOP2A depletion prevented tumor progression, and led to significantly prolonged survival. Conclusion: DDRKOL represents a robust and versatile focused CRISPR platform for systematic functional interrogation of the DDR associated genes. Using glioblastoma, we demonstrate that the library reliably identifies biologically significant and clinically relevant genetic dependencies through multiple orthogonal validation approaches. As a reusable platform rather than a disease-specific tool, DDRKOL can be broadly applied across diverse biological contexts to discover context-dependent DDR vulnerabilities, therapeutic targets, and mechanisms of treatment resistance.

cancer biology↗

bioRxiv2026

Programmable Lipid Nanoparticle Targeting via Corona Engineering

Lipid nanoparticles (LNPs) are a versatile platform for in vivo delivery of biomolecules, yet systemically administered LNPs predominantly accumulate in the liver, limiting extrahepatic applications. This tropism arises from LNP adsorption of serum proteins, particularly apolipoprotein E (ApoE), which binds to LDL receptors (LDLR) on hepatocytes. Here, we overcome this tropism with two compatible strategies. First, we engineer dead ApoE mutants (dApoE) with five receptor-binding domain substitutions that selectively disrupt the ApoE-LDLR interaction but retain lipid binding. In cultured cells, pre-coating with these dApoE markedly inhibited LDLR-mediated uptake. Second, we pretreat cells with hyperactive PCSK9 (haPCSK9) to internalize surface LDLR, similarly reducing the LDLR-mediate uptake of LNPs. In vivo, both strategies substantially reduced liver LNP transduction without inducing redistribution to other major organs. To retarget LNP to new cell types we combined antibody conjugation with dApoE or haPCSK9, effectively engineering tropism to T cells, brain and lung tissues in vivo with substantially reduced hepatic background. In pilot studies, this strategy enabled specific delivery of reporter mRNAs to additional tissues, including megakaryocytes, hematopoietic progenitor cells, and cardiac tissue, and in aged T cells, to deliver miRNA cargos that produced a sustained reduction in DNA damage markers following a single systemic dose. dApoE coated CD5-targeted LNPs generated CAR+ T cells that retained cytotoxicity against CD19+ targets, while simultaneously reducing hepatocyte transduction by 90%. These findings establish a modular framework that integrates dApoE and haPCSK9-mediated detargeting with antibody-based retargeting, allowing for improvements in LNP specificity and broadening the therapeutic scope of LNPs.

bioengineering↗

bioRxiv2024

Rapid protein evolution by few-shot learning with a protein language model

Directed evolution of proteins is critical for applications in basic biological research, therapeutics, diagnostics, and sustainability. However, directed evolution methods are labor intensive, cannot efficiently optimize over multiple protein properties, and are often trapped by local maxima. In silico-directed evolution methods incorporating protein language models (PLMs) have the potential to accelerate this engineering process, but current approaches fail to generalize across diverse protein families. We introduce EVOLVEpro, a few-shot active learning framework to rapidly improve protein activity using a combination of PLMs and protein activity predictors, achieving improved activity with as few as four rounds of evolution. EVOLVEpro substantially enhances the efficiency and effectiveness of in silico protein evolution, surpassing current state-of-the-art methods and yielding proteins with up to 100-fold improvement of desired properties. We showcase EVOLVEpro for five proteins across three applications: T7 RNA polymerase for RNA production, a miniature CRISPR nuclease, a prime editor, and an integrase for genome editing, and a monoclonal antibody for epitope binding. These results demonstrate the advantages of few-shot active learning with small amounts of experimental data over zero-shot predictions. EVOLVEpro paves the way for broader applications of AI-guided protein engineering in biology and medicine.

bioengineering↗

bioRxiv2024

Programmable RNA writing with trans-splicing

RNA editing offers the opportunity to introduce either stable or transient modifications to nucleic acid sequence without permanent off-target effects, but installation of arbitrary edits into the transcriptome is currently infeasible. Here, we describe Programmable RNA Editing & Cleavage for Insertion, Substitution, and Erasure (PRECISE), a versatile RNA editing method for writing RNA of arbitrary length and sequence into existing pre-mRNAs via 5' or 3' trans-splicing. In trans-splicing, an exogenous template is introduced to compete with the endogenous pre-mRNA, allowing for replacement of upstream or downstream exon sequence. Using Cas7-11 cleavage of pre-mRNAs to bias towards editing outcomes, we boost the efficiency of RNA trans-splicing by 10-100 fold, achieving editing rates between 5-50% and 85% on endogenous and reporter transcripts, respectively, while maintaining high-fidelity. We demonstrate PRECISE editing across 11 distinct endogenous transcripts of widely varying expression levels, showcasing more than 50 types of edits, including all 12 possible transversions and transitions, insertions ranging from 1 to 1,863 nucleotides, and deletions. We show high efficiency replacement of exon 4 of MECP2, addressing most mutations that drive the Rett Syndrome; editing of SHANK3 transcripts, a gene involved in Autism; and replacement of exon 1 of HTT, removing the hallmark repeat expansions of Huntington's disease. Whole transcriptome sequencing reveals the high precision of PRECISE editing and lack of off-target trans-splicing activity. Furthermore, we combine payload engineering and ribozymes for protein-free, high-efficiency trans-splicing, with demonstrated efficiency in editing HTT exon 1 via AAV delivery. We show that the high activity of PRECISE editing enables editing in non-dividing neurons and patient-derived Huntingtons disease fibroblasts. PRECISE editing markedly broadens the scope of genetic editing, is straightforward to deliver over existing gene editing tools like prime editing, lacks permanent off-targets, and can enable any type of genetic edit large or small, including edits not otherwise possible with existing RNA base editors, widening the spectrum of addressable diseases.

molecular biology↗

bioRxiv2023

ACE2-Coated Virus-Like Particles Effectively Block SARS-CoV-2 Infection

A large body of research accumulated over the past three years dedicated to our understanding and fighting COVID-19. Blocking the interaction between SARS-CoV-2 Spike and ACE2 receptor has been considered an effective strategy as anti-SARS-CoV-2 therapeutics. In this study, we developed ACE2-coated virus-like particles (ACE2-VLPs), which can be utilized to prevent viral entry into host cells and efficiently neutralize the virus. These ACE2-VLPs exhibited high neutralization capacity even when applied at low doses, and displayed superior efficacy compared to extracellular vesicles carrying ACE2, in the in vitro pseudoviral assays. ACE2-VLPs were stable under different environmental temperatures, and they were effective in blocking all tested variants of concern in vitro. Finally, ACE2-VLPs displayed marked neutralization capacity against Omicron BA.1 in the Vero E6 cells. Based on their superior efficacy compared to extracellular vesicles, and their demonstrated success against live virus, ACE2-VLPs can be considered as vital candidates for treating SARS-CoV-2. This novel therapeutic approach of VLP coating with receptor particles can serve as proof-of-concept for designing effective neutralization strategies for other viral diseases in the future. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/558424v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@30ac94org.highwire.dtl.DTLVardef@1926217org.highwire.dtl.DTLVardef@165d9f0org.highwire.dtl.DTLVardef@1c737f9_HPS_FORMAT_FIGEXP M_FIG In our study, we demonstrate the prevention of SARS-CoV-2 infection through the use of Ace2-coated VLPs. C_FIG

bioengineering↗

bioRxiv2023

Programmable RNA-guided endonucleases are widespread in eukaryotes and their viruses

TnpB proteins are RNA-guided nucleases that are broadly associated with IS200/605 family transposons in prokaryotes. TnpB homologs, named Fanzors, have been detected in genomes of some eukaryotes and large viruses, but their activity and functions in eukaryotes remain unknown. We searched genomes of diverse eukaryotes and their viruses for TnpB homologs and identified numerous putative RNA-guided nucleases that are often associated with various transposases, suggesting they are encoded in mobile genetic elements. Reconstruction of the evolution of these nucleases, which we rename Horizontally-transferred Eukaryotic RNA-guided Mobile Element Systems (HERMES), revealed multiple acquisitions of TnpBs by eukaryotes and subsequent diversification. In their adaptation and spread in eukaryotes, HERMES proteins acquired nuclear localization signals, and genes captured introns, indicating extensive, long term adaptation to functioning in eukaryotic cells. Biochemical and cellular evidence show that HERMES employ non-coding RNAs encoded adjacent to the nuclease for RNA-guided cleavage of double-stranded DNA. HERMES nucleases contain a re-arranged catalytic site of the RuvC domain, similar to a distinct subset of TnpBs, and lack collateral cleavage activity. We demonstrate that HERMES can be harnessed for genome editing in human cells, highlighting the potential of these widespread eukaryotic RNA-guided nucleases for biotechnology applications.

molecular biology↗

bioRxiv2021

EPIKOL, a chromatin-focused CRISPR/Cas9-based screening platform, to identify cancer-specific epigenetic vulnerabilities

Dysregulation of the epigenome due to alterations in chromatin modifier proteins commonly contribute to malignant transformation. To discover new drug targets for more targeted and personalized therapies, functional interrogation of epigenetic modifiers is essential. We therefore generated an epigenome-wide CRISPR-Cas9 knock-out library (EPIKOL) that targets a wide-range of epigenetic modifiers and their cofactors. We conducted eight screens in two different cancer types and showed that EPIKOL performs with high efficiency in terms of sgRNA distribution, depletion of essential genes and steady behaviors of non-targeting sgRNAs. From this, we discovered novel epigenetic modifiers besides previously known ones that regulate triple-negative breast cancer and prostate cancer cell fitness. With further validation assays, we confirmed the growth-regulatory function of individual candidates, including SS18L2 and members of the NSL complex (KANSL2, KANSL3, KAT8) in triple negative breast cancer cells. Overall, we show that EPIKOL, a focused sgRNA library targeting approximately 800 genes, can reveal epigenetic modifiers that are essential for cancer cell fitness and serve as a tool to offer novel anti-cancer targets. With its thoroughly generated epigenome-wide gene list, and the relatively high number of sgRNAs per gene, EPIKOL offers a great advantage to study functional roles of epigenetic modifiers in a wide variety of research applications, such as screens on primary cells, patient-derived xenografts as well as in vivo models.

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

The neutralization effect of Montelukast on SARS-CoV-2 is shown by multiscale in silico simulations and combined in vitro studies

Small molecule inhibitors have previously been investigated in different studies as possible therapeutics in the treatment of SARS-CoV-2. In the current drug repurposing study, we identified the leukotriene (D4) receptor antagonist Montelukast as a novel agent that simultaneously targets two important drug targets of SARS-CoV-2. We initially demonstrated the dual inhibition profile of Montelukast through multiscale molecular modeling studies. Next, we characterized its effect on both targets by different in vitro experiments including the Fluorescent Resonance Energy Transfer (FRET)-based main protease enzyme inhibition assay, surface plasmon resonance (SPR) spectroscopy, pseudovirus neutralization on HEK293T / hACE2, and virus neutralization assay using xCELLigence MP real time cell analyzer. Our integrated in silico and in vitro results confirmed the dual potential effect of the Montelukast both on virus entry into the host cell (Spike/ACE2) and on the main protease enzyme inhibition. The virus neutralization assay results showed that while no cytotoxicity of the Montelukast was observed at 12 M concentration, the cell index time 50 (CIT50) value was delayed for 12 hours. Moreover, it was also shown that Favipiravir, a well-known antiviral used in COVID-19 therapy, should be used by 16-fold higher concentrations than Montelukast in order to have the same effect of Montelukast. The rapid use of new small molecules in the pandemic is very important today. Montelukast, whose pharmacokinetic and pharmacodynamic properties are very well characterized and has been widely used in the treatment of asthma since 1998, should urgently be completed in clinical phase studies and if its effect is proven in clinical phase studies, it should be used against COVID-19.

biophysics↗

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↗