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Publication Metadata only A structural basis for restricted codon recognition mediated by 2-thiocytidine in tRNA containing a wobble position inosine(Elsevier, 2020) Vangaveti, Sweta; Cantara, William A.; Spears, Jessica L.; Murphy, Frank V.; Ranganathan, Sri V.; Sarachan, Kathryn L.; Agris, Paul F.; Department of Molecular Biology and Genetics; Demirci, Hasan; Faculty Member; Department of Molecular Biology and Genetics; College of Sciences; 307350Three of six arginine codons (CGU, CGC, and CGA) are decoded by two Escherichia coli tRNA(Arg) isoacceptors. The anticodon stem and loop (ASL) domains of tRNA(Arg1) and tRNA(Arg2) both contain inosine and 2-methyladenosine modifications at positions 34 (I-34) and 37 (m(2)A(37)). tRNA(Arg1) is also modified from cytidine to 2-thiocytidine at position 32 (s(2)C(32)). The s(2)C(32) modification is known to negate wobble codon recognition of the rare CGA codon by an unknown mechanism, while still allowing decoding of CGU and CGC. Substitution of s(2)C(32) for C-32 in the Saccharomyces cerevisiae tRNA(IAU)(lle) anticodon stem and loop domain (ASL) negates wobble decoding of its synonymous A-ending codon, suggesting that this function of s(2)C at position 32 is a generalizable property. X-ray crystal structures of variously modified ASL(ICG)(Arg1) and ASL(ICG)(Arg2) constructs bound to cognate and wobble codons on the ribosome revealed the disruption of a C-32-A(38) cross-loop interaction but failed to fully explain the means by which s(2)C(32) restricts I-34 wobbling. Computational studies revealed that the adoption of a spatially broad inosine-adenosine base pair at the wobble position of the codon cannot be maintained simultaneously with the canonical ASL U-turn motif. C-32-A(38) cross-loop interactions are required for stability of the anticodon/codon interaction in the ribosomal A-site.Publication Metadata only Alteration of cell motility dynamics through collagen fiber density in photopolymerized polyethylene glycol hydrogels(Elsevier, 2020) Bayraktar, Halil; N/A; Akalın, Özge Begüm; Master Student; Graduate School of Sciences and Engineering; N/APolyethylene glycol (PEG) hydrogels that have natural fibers mimicking extracellular matrix can be used as a model to understand the role of substrate properties on cell growth and migration. Due to the dependence of cell movement to adhesion, characterization of motility is needed to prepare biocompatible substrates. We demonstrated a method to encapsulate collagen into PEG hydrogel crosslinked via photopolymerization and studied the effect of fiber density on motility dynamics. Porous hydrogel immersed into collagen solution was coated with fibers after neutralizing solution. We provided a detailed study of cell instantaneous/average speed, total displacement, persistence and angular displacement. We found that cells demonstrated a biphasic motility where a maximum speed of 17.4 mu m/h with a total distance of 215 mu m and persistence of 0.43 were obtained at 12 mg/ml collagen. High occurrence of low angular displacement observed at intermediate fiber density suggests that cells tend to move forward along hydrogels. Increased anisotropy at low density was an indication of forward and backward movement. Finally, matrix deformation was determined in the absence of fluorescent beads by tracking fiber displacement at subpixel resolution. Our findings establish a method for preparation of collagen coated hydrogels and provide an insight into cell motility dynamics.Publication Open Access An efficient framework to identify key miRNA-mRNA regulatory modules in cancer(Oxford University Press (OUP), 2020) N/A; Department of Industrial Engineering; Mokhtaridoost, Milad; Gönen, Mehmet; Faculty Member; Department of Industrial Engineering; Graduate School of Sciences and Engineering; College of Engineering; School of MedicineMotivation: micro-RNAs (miRNAs) are known as the important components of RNA silencing and post-transcriptional gene regulation, and they interact with messenger RNAs (mRNAs) either by degradation or by translational repression. miRNA alterations have a significant impact on the formation and progression of human cancers. Accordingly, it is important to establish computational methods with high predictive performance to identify cancer-specific miRNA-mRNA regulatory modules. Results: we presented a two-step framework to model miRNA-mRNA relationships and identify cancer-specific modules between miRNAs and mRNAs from their matched expression profiles of more than 9000 primary tumors. We first estimated the regulatory matrix between miRNA and mRNA expression profiles by solving multiple linear programming problems. We then formulated a unified regularized factor regression (RFR) model that simultaneously estimates the effective number of modules (i.e. latent factors) and extracts modules by decomposing regulatory matrix into two low-rank matrices. Our RFR model groups correlated miRNAs together and correlated mRNAs together, and also controls sparsity levels of both matrices. These attributes lead to interpretable results with high predictive performance. We applied our method on a very comprehensive data collection by including 32 TCGA cancer types. To find the biological relevance of our approach, we performed functional gene set enrichment and survival analyses. A large portion of the identified modules are significantly enriched in Hallmark, PID and KEGG pathways/gene sets. To validate the identified modules, we also performed literature validation as well as validation using experimentally supportedmiRTarBase database.Publication Open Access Aurora kinase A proximity map reveals centriolar satellites as regulators of its ciliary function(Wiley, 2021) Rauniyar, N.; Yates, J. R. III; Department of Molecular Biology and Genetics; Karalar, Elif Nur Fırat; Arslanhan, Melis Dilara; Faculty Member; Department of Molecular Biology and Genetics; College of Sciences; Graduate School of Sciences and Engineering; 206349; N/AAurora kinase A (AURKA) is a conserved kinase that plays crucial roles in numerous cellular processes. Although AURKA overexpression is frequent in human cancers, its pleiotropic functions and multifaceted regulation present challenges in its therapeutic targeting. Key to overcoming these challenges is to identify and characterize the full range of AURKA interactors, which are often weak and transient. Previous proteomic studies were limited in monitoring dynamic and non-mitotic AURKA interactions. Here, we generate the proximity interactome of AURKA in asynchronous cells, which consists of 440 proteins involving multiple biological processes and cellular compartments. Importantly, AURKA has extensive proximate and physical interactions to centriolar satellites, key regulators of the primary cilium. Loss-of-function experiments identify satellites as negative regulators of AURKA activity, abundance, and localization in quiescent cells. Notably, loss of satellites activates AURKA at the basal body, decreases centrosomal IFT88 levels, and causes ciliogenesis defects. Collectively, our results provide a resource for dissecting spatiotemporal regulation of AURKA and uncover its proteostatic regulation by satellites as a new mechanism for its ciliary functions.Publication Open Access CCRXP: exploring clusters of conserved residues in protein structures(Oxford University Press (OUP), 2010) Ahmad, Shandar; Mizuguchi, Kenji; Sarai, Akinori; Nussinov, Ruth; Department of Chemical and Biological Engineering; Keskin, Özlem; PhD Student; PhD Student; Department of Chemical and Biological Engineering; College of Engineering; 26605Conserved residues forming tightly packed clusters have been shown to be energy hot spots in both protein-protein and protein-DNA complexes. A number of analyses on these clusters of conserved residues (CCRs) have been reported, all pointing to a crucial role that these clusters play in protein function, especially protein-protein and protein-DNA interactions. However, currently there is no publicly available tool to automatically detect such clusters. Here, we present a web server that takes a coordinate file in PDB format as input and automatically executes all the steps to identify CCRs in protein structures. In addition, it calculates the structural properties of each residue and of the CCRs. We also present statistics to show that CCRs, determined by these procedures, are significantly enriched in 'hot spots' in protein-protein and protein-RNA complexes, which supplements our more detailed similar results on protein-DNA complexes. We expect that CCRXP web server will be useful in studies of protein structures and their interactions and selecting mutagenesis targets.Publication Open Access Centriolar satellites are required for efficient ciliogenesis and ciliary content regulation(Wiley, 2019) Department of Molecular Biology and Genetics; Department of Chemical and Biological Engineering; Odabaşı, Ezgi; Karalar, Elif Nur Fırat; Gül, Şeref; Kavaklı, İbrahim Halil; Other; Researcher; Faculty Member; Department of Molecular Biology and Genetics; Department of Chemical and Biological Engineering; Graduate School of Sciences and Engineering; N/A; 206349; N/A; 40319Centriolar satellites are ubiquitous in vertebrate cells. They have recently emerged as key regulators of centrosome/cilium biogenesis, and their mutations are linked to ciliopathies. However, their precise functions and mechanisms of action remain poorly understood. Here, we generated a kidney epithelial cell line (IMCD3) lacking satellites by CRISPR/Cas9-mediated PCM1 deletion and investigated the cellular and molecular consequences of satellite loss. Cells lacking satellites still formed full-length cilia but at significantly lower numbers, with changes in the centrosomal and cellular levels of key ciliogenesis factors. Using these cells, we identified new ciliary functions of satellites such as regulation of ciliary content, Hedgehog signaling, and epithelial cell organization in three-dimensional cultures. However, other functions of satellites, namely proliferation, cell cycle progression, and centriole duplication, were unaffected in these cells. Quantitative transcriptomic and proteomic profiling revealed that loss of satellites affects transcription scarcely, but significantly alters the proteome. Importantly, the centrosome proteome mostly remains unaltered in the cells lacking satellites. Together, our findings identify centriolar satellites as regulators of efficient cilium assembly and function and provide insight into disease mechanisms of ciliopathies.Publication Open Access Chronically radiation-exposed survivor glioblastoma cells display poor response to Chk1 inhibition under hypoxia(Multidisciplinary Digital Publishing Institute (MDPI), 2022) Department of Molecular Biology and Genetics; Değirmenci, Nareg Pınarbaşı; Sur, İlknur Erdem; Akçay, Vuslat; Bölükbaşı, Yasemin; Selek, Uğur; Solaroğlu, İhsan; Önder, Tuğba Bağcı; PhD Student; Faculty Member; Faculty Member; Faculty Member; Department of Molecular Biology and Genetics; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); Graduate School of Health Sciences; College of Sciences; School of Medicine; Koç University Hospital; N/A; N/A; N/A; 216814; 27211; 102059; 184359Glioblastoma is the most malignant primary brain tumor, and a cornerstone in its treatment is radiotherapy. However, tumor cells surviving after irradiation indicates treatment failure; therefore, better understanding of the mechanisms regulating radiotherapy response is of utmost importance. In this study, we generated clinically relevant irradiation-exposed models by applying fractionated radiotherapy over a long time and selecting irradiation-survivor (IR-Surv) glioblastoma cells. We examined the transcriptomic alterations, cell cycle and growth rate changes and 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. Concomitantly, IR-Surv cells upregulated the expression of DDR-related genes, such as CHK1, ATM, ATR, and MGMT, and had better DNA repair capacity. IR-Surv cells displayed downregulation of hypoxic signature and lower induction of hypoxia target genes, compared to naive glioblastoma cells. Moreover, Chk1 inhibition alone or in combination with irradiation significantly reduced cell viability in both naive and IR-Surv cells. However, IR-Surv cells' response to Chk1 inhibition markedly decreased under hypoxic conditions. Taken together, 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.Publication Metadata only CilioGenics: an integrated method and database for predicting novel ciliary genes(Oxford Univ Press Inc, 2024) Pir, Mustafa S.; Yenisert, Ferhan; Demirci, Hasan C.; Korkmaz, Mustafa E.; Karaman, Asli; Tsiropoulou, Sofia; Blacque, Oliver E.; Oner, Sukru S.; Doluca, Osman; Cevik, Sebiha; Kaplan, Oktay, I; Department of Molecular Biology and Genetics; Begar, Efe; Karalar, Elif Nur Fırat; Department of Molecular Biology and Genetics; ; Graduate School of Sciences and Engineering; College of Sciences;Uncovering the full list of human ciliary genes holds enormous promise for the diagnosis of cilia-related human diseases, collectively known as ciliopathies. Currently, genetic diagnoses of many ciliopathies remain incomplete (). While various independent approaches theoretically have the potential to reveal the entire list of ciliary genes, approximately 30% of the genes on the ciliary gene list still stand as ciliary candidates (,). These methods, however, have mainly relied on a single strategy to uncover ciliary candidate genes, making the categorization challenging due to variations in quality and distinct capabilities demonstrated by different methodologies. Here, we develop a method called CilioGenics that combines several methodologies (single-cell RNA sequencing, protein-protein interactions (PPIs), comparative genomics, transcription factor (TF) network analysis, and text mining) to predict the ciliary capacity of each human gene. Our combined approach provides a CilioGenics score for every human gene that represents the probability that it will become a ciliary gene. Compared to methods that rely on a single method, CilioGenics performs better in its capacity to predict ciliary genes. Our top 500 gene list includes 258 new ciliary candidates, with 31 validated experimentally by us and others. Users may explore the whole list of human genes and CilioGenics scores on the CilioGenics database (https://ciliogenics.com/).Publication Open Access Comprehensive research on past and future therapeutic strategies devoted to treatment of amyotrophic lateral sclerosis(Multidisciplinary Digital Publishing Institute (MDPI), 2022) Sever, Belgin; Sever, Hilal; Ocak, Firdevs; Yuluğ, Burak; Tateishi, Hiroshi; Tateishi, Takahisa; Otsuka, Masami; Mikako, Fujita; Department of Molecular Biology and Genetics; Başak, Ayşe Nazlı; Çiftçi, Halil İbrahim; Demirci, Hasan; Faculty Member; Faculty Member; Department of Molecular Biology and Genetics; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); College of Sciences; 1512; N/A; 307350Amyotrophic lateral sclerosis (ALS) is a rapidly debilitating fatal neurodegenerative disorder, causing muscle atrophy and weakness, which leads to paralysis and eventual death. ALS has a multifaceted nature affected by many pathological mechanisms, including oxidative stress (also via protein aggregation), mitochondrial dysfunction, glutamate-induced excitotoxicity, apoptosis, neuroinflammation, axonal degeneration, skeletal muscle deterioration and viruses. This complexity is a major obstacle in defeating ALS. At present, riluzole and edaravone are the only drugs that have passed clinical trials for the treatment of ALS, notwithstanding that they showed modest benefits in a limited population of ALS. A dextromethorphan hydrobromide and quinidine sulfate combination was also approved to treat pseudobulbar affect (PBA) in the course of ALS. Globally, there is a struggle to prevent or alleviate the symptoms of this neurodegenerative disease, including implementation of antisense oligonucleotides (ASOs), induced pluripotent stem cells (iPSCs), CRISPR-9/Cas technique, non-invasive brain stimulation (NIBS) or ALS-on-a-chip technology. Additionally, researchers have synthesized and screened new compounds to be effective in ALS beyond the drug repurposing strategy. Despite all these efforts, ALS treatment is largely limited to palliative care, and there is a strong need for new therapeutics to be developed. This review focuses on and discusses which therapeutic strategies have been followed so far and what can be done in the future for the treatment of ALS.Publication Open Access DNABINDPROT: fluctuation-based predictor of DNA-binding residues within a network of interacting residues(Oxford University Press (OUP), 2010) Ozbek, Pemra; Soner, Seren; Erman, Burak; Haliloglu, Turkan; Department of Chemical and Biological Engineering; Erman, Burak; Faculty Member; Department of Chemical and Biological Engineering; College of Engineering; 179997DNABINDPROT is designed to predict DNA-binding residues, based on the fluctuations of residues in high-frequency modes by the Gaussian network model. The residue pairs that display high mean-square distance fluctuations are analyzed with respect to DNA binding, which are then filtered with their evolutionary conservation profiles and ranked according to their DNA-binding propensities. If the analyses are based on the exact outcome of fluctuations in the highest mode, using a conservation threshold of 5, the results have a sensitivity, specificity, precision and accuracy of 9.3%, 90.5%, 18.1% and 78.6%, respectively, on a dataset of 36 unbound-bound protein structure pairs. These values increase up to 24.3%, 93.4%, 45.3% and 83.3% for the respective cases, when the neighboring two residues are considered. The relatively low sensitivity appears with the identified residues being selective and susceptible more for the binding core residues rather than all DNA-binding residues. The predicted residues that are not tagged as DNA-binding residues are those whose fluctuations are coupled with DNA-binding sites. They are in close proximity as well as plausible for other functional residues, such as ligand and protein-protein interaction sites.