Rengul Cetin-Atalay

Rengul Cetin-Atalay
University of Chicago | UC · Section of Pulmonary and Critical Care Medicine

MD PhD Univ de Paris XI Ecole Polytechnique

About

196
Publications
30,124
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
4,284
Citations
Introduction
Rengul Cetin-Atalay MD, PhD, Professor of Molecular Biology, obtained her PhD degree from Universite de Paris-Sud, Orsay, France in 1997 and MD degree from Hacettepe Univ. Medical School in 1992. She worked as a research assistant at Ecole Polytechnique, France during her PhD, and as an assistant professor at the Virginia Bioinformatics Institute, Virginia, during her sabbatical leave in 1994. Dr Cetin-Atalay`s research focuses on the molecular biology of liver cancer, the identification of novel anti-cancer drug candidates against HCC and the application of computational techniques for the analysis of post genomic data in silico.
Additional affiliations
January 2017 - present
Middle East Technical University
Position
  • Professor (Full)
October 2014 - January 2017
Middle East Technical University
Position
  • Professor (Associate)
January 2003 - January 2004
Virginia Polytechnic Institute and State University
Position
  • Reserach Asistant Prof
Education
September 1993 - September 1997
French National Centre for Scientific Research
Field of study
  • Molecular Biology

Publications

Publications (196)
Article
Background: Obstructive sleep apnea (OSA) is an independent risk factor for cardiovascular disease; however, the mechanisms are not completely known. OSA-induced endothelial cell (EC) dysfunction and activation, which precede the development of cardiovascular disease may play a role, but how OSA causes EC dysfunction are not well-understood. Inter...
Article
Full-text available
Background Targeted therapies for Primary liver cancer (HCC) is limited to the multi-kinase inhibitors, and not fully effective due to the resistance to these agents because of the heterogeneous molecular nature of HCC developed during chronic liver disease stages and cirrhosis. Although combinatorial therapy can increase the efficiency of targeted...
Article
Full-text available
Epidermal growth factor receptor (EGFR) has critical roles in epithelial cell physiology. Over-expression and over-activation of EGFR have been implicated in diverse cancers, including triple-negative breast cancers (TNBCs), prompting anti‐EGFR therapies. Therefore, developing potent therapies and addressing the inevitable drug resistance mechanism...
Article
Novel compounds containing polar and nonpolar substitutions on the prop-2-en-1-on linker of the trans-indol-3-ylacrylamide scaffold were designed by modeling within the colchicine site of tubulin and then synthesized to determine the role of such substitutions on tubulin polymerization. We first determined the in vitro antiproliferation activities...
Article
Full-text available
Roles of HNRNPA1 are beginning to emerge in cancers; however, mechanisms causing deregulation of HNRNPA1 function remain elusive. Here, we describe an isoform switch between the 3′-UTR isoforms of HNRNPA1 in breast cancers. We show that the dominantly expressed isoform in mammary tissue has a short half-life. In breast cancers, this isoform is down...
Article
Full-text available
Background Liver cancer is predicted to be the sixth most diagnosed cancer globally and fourth leading cause of cancer deaths. In this study, a series of indole-3-isoxazole-5-carboxamide derivatives were designed, synthesized, and evaluated for their anticancer activities. The chemical structures of these of final compounds and intermediates were c...
Article
Full-text available
Despite decades of intensive search for compounds that modulate the activity of particular protein targets, a large proportion of the human kinome remains as yet undrugged. Effective approaches are therefore required to map the massive space of unexplored compound–kinase interactions for novel and potent activities. Here, we carry out a crowdsource...
Article
Full-text available
PurposeComputational approaches have been used at different stages of drug development with the purpose of decreasing the time and cost of conventional experimental procedures. Lately, techniques mainly developed and applied in the field of artificial intelligence (AI), have been transferred to different application domains such as biomedicine.Meth...
Article
Full-text available
Predictive approaches such as virtual screening have been used in drug discovery with the objective of reducing developmental time and costs. Current machine learning and network-based approaches have issues related to generalization, usability, or model interpretability, especially due to the complexity of target proteins’ structure/function, and...
Preprint
Full-text available
Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer, and resistant to both conventional and targeted chemotherapy. (NSAIDs) Recently, nonsteroidal anti-inflammatory drugs (NSAIDs) have been shown to decrease the incidence and mortality of different types of cancers. Here, we investigated the cellular bioactivities of a series of triazol...
Article
In our effort for the development of novel anticancer therapeutics, a series of isoxazole-piperazine analogues were prepared, and primarily screened for their antiproliferative potential against hepatocellular carcinoma (HCC; Huh7/Mahlavu) and breast (MCF-7) cancer cells. All compounds demonstrated potent to moderate cytotoxicity on all cell lines...
Article
Full-text available
Obstructive sleep apnea (OSA) is a common breathing disorder affecting a significant percentage of the adult population. OSA is an independent risk factor for cardiovascular disease (CVD); however, the underlying mechanisms are not completely understood. Since the severity of hypoxia correlates with some of the cardiovascular effects, intermittent...
Article
Full-text available
Systemic analysis of available large-scale biological/biomedical data is critical for studying biological mechanisms, and developing novel and effective treatment approaches against diseases. However, different layers of the available data are produced using different technologies and scattered across individual computational resources without any...
Article
Background Although transplantation, surgical resection, and tumor ablation are treatment options available following early diagnosis of HCC, their efficacy is restricted due to poor prognosis and high recurrence rates. Hence, small molecules with high selectivity and bioactivity are urgently required. Objective This study presents the synthesis o...
Preprint
Full-text available
Predictive approaches such as virtual screening have been used in drug discovery with the objective of reducing developmental time and costs. Current machine learning and network- based approaches have issues related to generalization, usability, or model interpretability, especially due to the complexity of target proteins’ structure/function, and...
Article
Hepatocellular carcinoma (HCC) is one of the most common cancer types with high mortality rates and displays increased resistance to various stress conditions such as oxidative stress. Conventional therapies have low efficacies due to resistance and off-target effects in HCC. Here we aimed to analyze oxidative stress-related gene expression profile...
Preprint
Background: Targeted therapies for Primary liver cancer (HCC) is limited to the multi-kinase inhibitors, and not fully effective due to the resistance to these agents because of the heterogeneous molecular nature of HCC developed during chronic liver disease stages and cirrhosis. Although combinatorial therapy can increase the efficiency of targete...
Article
Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer and one of the leading causes of cancer associated death worldwide. This is due to the highly resistant nature of this malignancy and the lack of effective treatment options for advanced stage HCC patients. The hyperactivity of PI3K/Akt and Ras/Raf/MEK/ERK signaling pathways...
Article
Motivation Identification of interactions between bioactive small molecules and target proteins is crucial for novel drug discovery, drug repurposing and uncovering off-target effects. Due to the tremendous size of the chemical space, experimental bioactivity screening efforts require the aid of computational approaches. Although deep learning mode...
Preprint
Full-text available
Systemic analysis of available large-scale biological and biomedical data is critical for developing novel and effective treatment approaches against both complex and infectious diseases. Owing to the fact that different sections of the biomedical data is produced by different organizations/institutions using various types of technologies, the data...
Conference Paper
Computational methods are more commonly employed for our understanding of cellular signaling mechanisms with the aim to develop cures for diseases including cancer. Identification of disease specific targeted drugs requires systems level analysis of cellular networks. Our research group developed a comprehensive resource, called CROssBAR, which con...
Article
Full-text available
Hepatocellular carcinoma (HCC) ranks as the fifth most common and the second deadliest cancer worldwide. HCC is extremely resistant to the conventional chemotherapeutics. Hence, it is vital to develop new treatment options. Chalcones were previously shown to have anticancer activities in other cancer types. In this study, 11 chalcones along with qu...
Article
Idiopathic pulmonary fibrosis is a fatal disease characterized by the TGF-β-dependent differentiation of lung fibroblasts into myofibroblasts, leading to excessive deposition of collagen proteins and progressive scarring. We have previously shown that synthesis of collagen by myofibroblasts requires de novo synthesis of glycine, the most abundant a...
Article
Full-text available
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Article
iBioProVis is an interactive tool for visual analysis of the compound bioactivity space in the context of target proteins, drugs, and drug candidate compounds. iBioProVis tool takes target protein identifiers and, optionally, compound SMILES as input, and uses the state-of-the-art non-linear dimensionality reduction method t-Distributed Stochastic...
Article
Full-text available
Particulate matter (PM) air pollution causes cardiopulmonary mortality via macrophage-driven lung inflammation; however, the mechanisms are incompletely understood. RNA-sequencing demonstrated Acod1 (Aconitate decarboxylase 1) as one of the top genes induced by PM in macrophages. Acod1 encodes a mitochondrial enzyme that produces itaconate, which h...
Article
Full-text available
Particulate matter (PM) air pollution causes cardiopulmonary mortality via macrophage-driven lung inflammation; however, the mechanisms are incompletely understood. RNA-sequencing demonstrated Acod1 (Aconitate decarboxylase 1) as one of the top genes induced by PM in macrophages. Acod1 encodes a mitochondrial enzyme that produces itaconate, which h...
Article
Full-text available
Particulate matter (PM) air pollution causes cardiopulmonary mortality via macrophage-driven lung inflammation; however, the mechanisms are incompletely understood. RNA-sequencing demonstrated Acod1 (Aconitate decarboxylase 1) as one of the top genes induced by PM in macrophages. Acod1 encodes a mitochondrial enzyme that produces itaconate, which h...
Article
Full-text available
Evidence suggests that the CXXC type zinc finger (ZF-CXXC) protein 5 (CXXC5) is a critical regulator/integrator of various signaling pathways that include the estrogen (E2)-estrogen receptor α (ERα). Due to its ZF-CXXC domain, CXXC5 is considered to be a member of the ZF-CXXC family, which binds to unmethylated CpG dinucleotides of DNA and through...
Article
Full-text available
A series of new 6,9-disubstituted purine analogs with 4-substituted piperazine at C-6 and 4-substituted benzyl at N-9 were designed and synthesized in four steps. All synthesized compounds (7–26) were screened initially for their in vitro anticancer activity on Huh7 liver, HCT116 colon and MCF7 breast carcinoma cell lines. Cytotoxic bioactivity stu...
Article
Full-text available
The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since the conventional screening procedures are expensive and time consuming, computational approaches are employed to provide aid by automatically predicting novel drug-target interactions (DTIs). In this...
Article
Full-text available
Background: The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results: Here, we report on the results of the third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of...
Article
Nicotinamide phosphoribosyltransferase (NAMPT) catalyzes the condensation of nicotinamide (NAM) with 5-phosphoribosyl-1-prophosphate (PRPP) to yield nicotinamide mononucleotide (NMN), a rate limiting enzyme in a mammalian salvage pathway of nicotinamide adenine dinucleotide (NAD+) synthesis. Recently, intracellular NAD+ has received substantial att...
Article
Full-text available
Automatic tracking of cells is a widely studied problem in various biomedical applications. Although there are numerous approaches for the video object tracking task in different contexts, the performance of these methods depends on many factors regarding the specific application they are used for. This paper presents a comparative study that speci...
Preprint
Full-text available
This paper presents a new deep regression model, which we call DeepDistance, for cell detection in images acquired with inverted microscopy. This model considers cell detection as a task of finding most probable locations that suggest cell centers in an image. It represents this main task with a regression task of learning an inner distance metric....
Article
Activation of PI3K/Akt/mTOR pathway is an important signaling mechanism involved in the development and the progression of liver cancer stem cell (LCSC) population during acquired Sorafenib resistance in advanced Hepatocellular carcinoma (HCC). Therefore, identification of novel therapeutic targets involving this pathway and acting on LCSCs are hig...
Conference Paper
Hepatocellular carcinoma (HCC) is the fifth most common and the second lethal cancer worldwide. HCC is resistant to conventional chemotherapy and radiotherapy due to its highly heterogenous structure. Therefore, it is crucial to design and develop novel therapeutic strategies against HCC. Non-steroidal anti-inflammatory drugs (NSAIDs) have long bee...
Conference Paper
Hepatocellular carcinoma (HCC) is the 5th most common and 2nd deadliest cancer worldwide. The molecular mechanism in HCC involves activated cell survival pathways, but there is a lack of the significant oncogenic drivers for targeted therapies. Thus, novel drugs and targets that can be exploited, are required. The pathways reported to be involved i...
Conference Paper
Hepatocellular carcinoma (HCC) is the 5th most common and 2nd deadliest cancer worldwide. The molecular mechanism in HCC involves activated cell survival pathways, but there is a lack of the significant oncogenic drivers for targeted therapies. Thus, novel drugs and targets that can be exploited, are required. The pathways reported to be involved i...
Conference Paper
Hepatocellular carcinoma (HCC) is the fifth most common and the second lethal cancer worldwide. HCC is resistant to conventional chemotherapy and radiotherapy due to its highly heterogenous structure. Therefore, it is crucial to design and develop novel therapeutic strategies against HCC. Non-steroidal anti-inflammatory drugs (NSAIDs) have long bee...
Article
Full-text available
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed conventional algorithms in computer vision and natural language processing due to the prevention of overfitting and efficient trainin...
Article
Two series of boehmeriasin A analogs have been synthesized in short and high yielding processes providing derivatives differing either in the alkaloid's pentacyclic scaffold or its peripheral substitution pattern. These series have enabled, for the first time, comparative studies into key biological properties revealing a new lead compound with exc...
Article
Sirtuins (SIRTs) are a class of NAD ⁺ -dependent protein histone deacetylases (HDACs) that catalyse the reversible deacetylation of lysine residues in the histones or non-histone substrates. Mammalian sirtuins consist of seven isoforms (SIRT1-7), which show different subcellular localizations and enzymatic functions. Among the seven human sirtuins,...
Preprint
Full-text available
The identification of physical interactions between drug candidate chemical substances and target biomolecules is an important step in the process of drug discovery, where the standard procedure is the systematic screening of chemical compounds against pre-selected target proteins. However, experimental screening procedures are expensive and time c...
Article
Thirty-two novel urea/thiourea compounds as potential kinase inhibitor were designed, synthesized and evaluated for their cytotoxic activity on breast (MCF7), colon (HCT116) and liver (Huh7) cancer cell lines. Compounds 10, 19 and 30 possessing anticancer activity with IC50 values of 0.9, 0.8 and 1.6 μM respectively on Huh7 cells were selected for...
Article
Licorice (Glycyrrhiza glabra L.) is one of the most widely used plants worldwide for its various pharmacological activities. The aim of this study was to isolate the potential cytotoxic secondary metabolites from the MeOH extract prepared from the roots of Glycyrrhiza glabra through bioactivity-guided isolation procedure and to elucidate their mech...
Article
Full-text available
In our endeavour towards the development of effective anticancer therapeutics, a novel series of isoxazole-piperazine hybrids were synthesized and evaluated for their cytotoxic activities against human liver (Huh7 and Mahlavu) and breast (MCF-7) cancer cell lines. Within series, compounds 5l-o showed the most potent cytotoxicity on all cell lines w...
Article
Full-text available
Background: The automated prediction of the enzymatic functions of uncharacterized proteins is a crucial topic in bioinformatics. Although several methods and tools have been proposed to classify enzymes, most of these studies are limited to specific functional classes and levels of the Enzyme Commission (EC) number hierarchy. Besides, most of the...
Article
Full-text available
N,N’-Bis[1-aryl-3-pyrrolidine-1-yl)propylidene]hydrazine dihydrochlorides (R1–R7) were synthesized by the reaction of 2 mols of 1-aryl-3-(pyrrolidine-1-yl)-1-propanone hydrochlorides with 1 mol of hydrazine hydrate and reported for the first time with their detailed spectral analysis and cytotoxicities towards human hepatoma (Huh7) and breast cance...