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Depletion of BBS Protein LZTFL1 Affects Growth and Causes Retinal Degeneration in Mice

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Journal of Genetics and Genomics 2016年第6期43卷 381-391页

作者： Jiangsong Jiang Kanyarat Promchan Hong Jiang Parirokh Awasthi Heather Marshall Adam Harned Ven natarajan Laboratory of Molecular Cell Biology Leidos Biomedical ResearchInc.Frederick National Laboratory for Cancer ResearchFrederickMD 21702USA Transgenic Mouse Model Laboratory Leidos Biomedical ResearchInc.Frederick National Laboratory for Cancer ResearchFrederickMD 21702USA Electron Microscopy Laboratory Leidos Biomedical ResearehInc.Frederick National Laboratory for Cancer ResearchFrederickMD 21702USA

Bardet-Biedl syndrome（BBS） is a heterogeneous disease characterized by deficiencies in various organs that are caused by defects in genes involved in the genesis, structural maintenance, and protein trafficking of cilia. Leucine zipper transcription factor-like 1（LZTFL1）has been identified as a BBS protein（BBS17）, because patients with mutations in this gene exhibit the common BBS phenotypes. In this study, we generated a knockout mouse model to investigate the effects of LZTFL1 depletion. Lztfl1 knockout mice were born with low birth weight, reached similar weight to those of wild-type mice at 10 weeks of age, and later gained more weight than their wild-type counterparts. LZTFL1 was localized to the primary cilium of kidney cells, and the absence of LZTFL1 increased the ciliary localization of BBS9. Moreover, in the retinas of Lztfl1 knockout mice, the photoreceptor outer segment was shortened, the distal axoneme of photoreceptor connecting cilium was significantly enlarged, and rhodopsin was targeted to the outer nuclear layer. TUNEL assay showed that many of these abnormal photoreceptor cells in Lztfl1 knockout mice underwent apoptosis. Interestingly, the absence of LZTFL1 caused an abnormal increase of the adaptor protein complex 1（AP1） in some photoreceptor cells. Based on these data, we conclude that LZTFL1 is a cilium protein and regulates animal weight and photoreceptor connecting cilium function probably by controlling microtubule assembly and protein trafficking in cilia.

关键词： LZTFL1 Cilium BBSome BBS17 Retina AP-1

Phase transformation and crystal growth behavior of 8mol%(SmO1.5, GdO1.5, and YO1.5) stabilized ZrO2 powders

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International Journal of Minerals,Metallurgy and Materials 2017年第7期24卷 842-849页

作者： R.Mahendran S.P.Kumaresh Babu S.natarajan S.Manivannan A.Vallimanalan Department of Metallurgical and Materials Engineering National Institute of Technology Tirchirappalli 620015 Tamil Nadu india

Nanocrystalline powders of ZrO_2–8mol%SmO1.5（8Sm SZ）, ZrO_2–8mol%GdO1.5（8Gd SZ）, and ZrO_2–8mol%YO1.5（8YSZ） were prepared by a simple reverse-coprecipitation technique. Differential thermal analysis/thermogravimetry（DTA/TG）, Fourier transform infrared spectroscopy（FTIR）, X-ray diffraction（XRD）, Raman spectroscopy, and high-resolution transmission electron microscopy（HRTEM） were used to study the phase transformation and crystal growth behavior. The DTA results showed that the ZrO_2 freeze-dried precipitates crystallized at 529, 465, and 467°C in the case of 8Sm SZ, 8Gd SZ, and 8YSZ, respectively. The XRD and Raman results confirmed the presence of tetragonal ZrO_2 when the dried precipitates were calcined in the temperature range from 600 to 1000°C for 2 h. The crystallite size increased with increasing calcination temperature. The activation energies were calculated as 12.39, 12.45, and 16.59 k J/mol for 8Sm SZ, 8Gd SZ, and 8YSZ respectively.

关键词： zirconia thermal analysis reverse coprecipitation activation energy

ALK expression,prognostic significance,and its association with MYCN expression in MYCN non-amplified neuroblastoma

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World Journal of Pediatrics 2022年第4期18卷 285-293页

作者： Dinesh Babu Somasundaram Sheeja Aravindan Nandita Gupta Zhongxin Yu Ashley Baker natarajan Aravindan Department of Radiation Oncology BMSB 311CRadiation Biology LaboratoryUniversity of Oklahoma Health Sciences Center940 Stanton L.Young BoulevardOklahoma CityOK 73104USA Stephenson Cancer Center Oklahoma CityOKUSA Plainsboro NJUSA Department of Pathology BMSB 311CRadiation Biology LaboratoryUniversity of Oklahoma Health Sciences Center940 Stanton L.Young BoulevardOklahoma CityOK 73104USA Department of Pediatrics University of Oklahoma Health Sciences CenterOklahoma CityOKUSA

Neuroblastoma(NB),the most common cancer at infancy,is derived from a selective sympathoadrenal lineage of the neural crest cells[1-3].The majority of NB is found in children younger than 5 years(median age:2 years)and is rare in children older than 10 *** NB accounts for only 5-6%of the childhood cancers,it heavily contributes(about 15%)to pediatric cancer deaths[4,5].

关键词： neuroblastoma MYCN cancer

In vitro evaluation of free radical scavenging activity of Codariocalyx motorius root extract

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Asian Pacific Journal of Tropical Medicine 2013年第3期6卷 188-194页

作者： Uma Chidambaram Vanitha Pachamuthu Suganya natarajan Bhakkiyalakshmi Elango Suriyanarayanan Kunga Mohan Ramkumar Department of Biotechnology School of BioengineeringSRM UniversityKattankulathur-603 203TamilnaduIndia Department of Water and Health JSS UniversityMysore-570015KarnatakaIndia

Objective:To determine the phenolic content in Codariocalyx motorius root extract and to evaluate its antioxidant properties using various in vitro assay ***:The antioxidant activity was evaluated based on scavenging of 1,1—diphenyl—2—picrylhydrazyl,hydroxyl radicals,superoxide anions,nitric oxide,hydrogen peroxide,peroxvnilrile,reducing power and by inhibition oi lipid peroxidation which was estimated in terms of thiohurhituric acid reactive ***:The root extract of the Codariocalyx motorius(***) exhibited potent total antioxidant activity that increased with increasing amount of extract concentration,which was compared with standard drug such as *** *** at different *** different concentrations of the extracts showed inhibition on lipid *** addition,the extracts had effective reducing power,free radical scavenging, super oxide anion scavenging,nitric oxide scavenging,lipid peroxidation,and total phenolic content depending on *** correlation between total phenolic contents and scavenging potential of different reactive oxygen species(r^2=0.83 1 -0.978) indicated the polyphenols as the main ***:Codariocalyx motorius(***) root possess the highly active antioxidant substance which can be used for the treatment of oxidative stress-related diseases.

关键词： Codariocalyx motorius Antioxidant activity Medicinal plants Polyphenols

Mesenchymal stem cell-based TRAIL delivery inhibits the metastatic state of clinical therapy-resistant progressive neuroblastoma

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World Journal of Pediatrics 2024年第3期20卷 287-293页

作者： Dinesh Babu Somasundaram Andrew Maher Sheeja Aravindan Zhongxin Yu Brian MBesch natarajan Aravindan Department of Radiation Oncology University of Oklahoma Health Sciences CenterOklahoma CityOKUSA Stephenson Cancer Center Oklahoma CityOKUSA Department of Pathology University of Oklahoma Health Sciences CenterOklahoma CityOKUSA Radiation Biology Laboratory University of Oklahoma Health Sciences CenterBSEB 302F941 Stanton L.Young BoulevardOklahoma CityOK 73104USA

Progressive neuroblastomas(pNBs)that defy current intensive multimodal clinical therapy(IMCT)are a significant contributor to overall childhood cancer deaths[l].Neuroblastomas(NBs)that survive first-line IMCT actively evolve to acquire genetic and molecular rearrangements and display unparalleled plasticity and evolution,which causes frequent relapses in a rapidly accelerating timeline[2-4].

关键词： neuroblastoma clinical evolve

Multi-scale visual analysis of cycle characteristics in spatially-embedded graphs

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Visual Informatics 2023年第3期7卷 49-58页

作者： Farhan Rasheed Talha Bin Masood Tejas G.Murthy Vijay natarajan Ingrid Hotz Department of Science and Technology LinkOing UniversityBredgatan 33NorrkOing60221Sweden Department of Civil Engineering Indian Institute of ScienceBangalore560012India Department of Computer Science and Automation Indian Institute of ScienceBangalore560012India

We present a visual analysis environment based on a multi-scale partitioning of a 2d domain intoregions bounded by cycles in weighted planar embedded *** work has been inspired by anapplication in granular materials research,where the question of scale plays a fundamental role inthe analysis of material *** propose an efficient algorithm to extract the hierarchical cyclestructure using persistent *** core of the algorithm is a filtration on a dual graph exploitingAlexander’s *** resulting partitioning is the basis for the derivation of statistical properties thatcan be explored in a visual *** demonstrate the proposed pipeline on a few syntheticand one real-world dataset.

关键词： Visual data analysis Planar graph Force network Granular materials Persistence homology Force loops Computational geometry

Deep Learning Based Intrusion Detection in Cloud Services for Resilience Management

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Computers, Materials & Continua 2022年第6期71卷 5117-5133页

作者： S.Sreenivasa Chakravarthi R.Jagadeesh Kannan V.Anantha natarajan Xiao-Zhi Gao CSE Center for Intelligent ComputingSree Vidyanikethan Engineering College&School of Computer Science and EngineeringVITChennaiTamilnadu600127India School of Computer Science and Engineering VITChennaiTamilnadu600127India CSE Center for Intelligent ComputingSree Vidyanikethan Engineering CollegeTirupati517102India School of Computing University of Eastern FinlandKuopio02130EspooFinland

In the global scenario one of the important goals for sustainable development in industrial field is innovate new technology,and invest in building *** the developed and developing countries focus on building resilient infrastructure and promote sustainable developments by fostering *** this juncture the cloud computing has become an important information and communication technologies model influencing sustainable development of the industries in the developing *** part of the innovations happening in the industrial sector,a new concept termed as‘smart manufacturing’has emerged,which employs the benefits of emerging technologies like internet of things and cloud *** services deliver an on-demand access to computing,storage,and infrastructural platforms for the industrial users through *** the recent era of information technology the number of business and individual users of cloud services have been increased and larger volumes of data is being processed and stored in *** a consequence,the data breaches in the cloud services are also increasing day by *** to various security vulnerabilities in the cloud architecture;as a result the cloud environment has become *** restore the normal behavior of the cloud,detect the deviations,and achieve higher resilience,anomaly detection becomes *** deep learning architectures-based anomaly detection mechanisms uses various monitoring metrics characterize the normal behavior of cloud services and identify the abnormal *** paper focuses on designing an intelligent deep learning based approach for detecting cloud anomalies in real time to make it more *** deep learning models are trained using features extracted from the system level and network level performance metrics observed in the Transfer Control Protocol(TCP)traces of the *** experimental results of the proposed approach demonstrate a superior performance in terms

关键词： Anomaly detection network flow data deep learning migration auto-encoder support vector machine

Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks

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Big Data Mining and Analytics 2021年第2期4卷 76-83页

作者： natarajan Yuvaraj Kannan Srihari Selvaraj Chandragandhi Rajan Arshath Raja Gaurav Dhiman Amandeep Kaur St.Peter’s Institute of Higher Education and Research Information Communication Technology AcademyChennai 600096India Department of Computer Science and Engineering SNS College of Engineering641107India Department of Computer Science and Engineering Jagannath Educational Health and Charitable Trust College of Engineering and TechnologyCoimbatore 641105India B.S.Abdur Rahman Crescent Institute of Science and Technology Chennai 600048India Department of Computer Science Government Bikram College of CommercePatiala 147001India Department of Computer Science and Engineering Sri Guru Granth Sahib World UniversityFatehgarh 140406India

In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. Most of the systems operate on the extracted features from the patients and most of the predicted cases are accurate. However, in recent time, the prevalence of COVID-19 has emerged the global healthcare industry to find a new drug that suppresses the pandemic outbreak. In this paper, we design a Deep Neural Network(DNN)model that accurately finds the protein-ligand interactions with the drug used. The DNN senses the response of protein-ligand interactions for a specific drug and identifies which drug makes the interaction that combats effectively the virus. With limited genome sequence of Indian patients submitted to the GISAID database, we find that the DNN system is effective in identifying the protein-ligand interactions for a specific drug.

关键词： Deep Neural Network(DNN) coronavirus protein-ligand interactions deep learning clinical healthcare system

Isolation, identification, Pb(Ⅱ) biosorption isotherms and kinetics of a lead adsorbing Penicillium sp. MRF-1 from South Korean mine soil

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Journal of Environmental Sciences 2010年第7期22卷 1049-1056页

作者： natarajan Velmurugan Grim Hwang Muthuswamy Sathishkumar Tae Kie Choi Kui-Jae Lee Byung-Taek Oh Yang-Soo Lee Department of Forest Science and Technology Institute of Agriculture and Life SciencesChonbuk National University College of Agriculture and Life Sciences Seoul National University Singapore-Delft Water Alliance National University of Singapore2 Engineering Drive 2 Division of Biotechnology College of Environment and Bioresources SciencesChonbuk National University

A heavy metal contaminated soil sample collected from a mine in Chonnam Province of South Korea was found to be a source of heavy metal adsorbing biosorbents. Chemical analyses showed high contents of lead （Pb） at 357 mg/kg and cyanide （CN） at 14.6 mg/kg in the soil. The experimental results showed that Penicillium sp. MRF-1 was the best lead resistant fungus among the four individual metal tolerant fungal species isolated from the soil. Molecular characterization of Penicillium sp. MRF-1 was determined using ITS regions sequences. Effects of pH, temperature and contact time on adsorption of Pb（Ⅱ） by Penicillium sp. MRF-1 were studied. Favorable conditions for maximum biosportion were found at pH 4 with 3 hr contact time. Biosorption of Pb（Ⅱ） gradually increased with increasing temperature. Efficient performance of the biosorbent was described using Langmuir and Freundlich isotherms. Adsorption kinetics was studied using pseudo first-order and pseudo second-order models. Biosorbent Penicillium sp. MRF-1 showed the maximum desorption in alkali conditions. Consistent adsorption/desorption potential of the biosorbent in repetitive cycles validated the efficacy of it in large scale. SEM studies given notes on surface modification of fungal biomass under metal stress and FT-IR results showed the presence of amino groups in the surface structure of the biosorbent. In conclusion, the new biosorbent Penicillium sp. MRF- 1 may potentially be used as an inexpensive, easily cultivatable material for the removal of lead from aqueous solution.

关键词： heavy metal resistant fungus Penicillium sp. biosorption isotherms kinetics