31 results on '"Kumaraswamy, E."'
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2. A smart automatic sanitizer dispenser and body temperature inspection machine
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Sudarshan, E., primary, Sarma, KSRK, additional, Sujatha, Kaipa, additional, Kothandaraman, D., additional, and Kumaraswamy, E, additional
- Published
- 2022
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3. The prediction of No2 and O3 concentrations in ambient air using soft computing techniques for hyderabad model
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Bojja, Polaiah, primary, Divya, V., additional, Naidu, M. G. M., additional, Ashok, G., additional, and Kumaraswamy, E., additional
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- 2022
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4. IoT based indoor air quality monitoring and purification system with serial UV lights
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Sudarshan, E., primary, Anusha, K., additional, Yadav, B. Prabhanjan, additional, Kishan, P. Anil, additional, and Kumaraswamy, E., additional
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- 2022
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5. An empirical study of various face recognition and face liveness detection techniques and algorithms
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Sivalenka, Vishali, primary, Aluvala, Srinivas, additional, Sneha, Yerram, additional, Mannan, Khaja, additional, Farheen, Sana, additional, and Kumaraswamy, E., additional
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- 2022
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6. Forecast the death and recovery rate of COVID 2019 using ARIMA and PROPHET models
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Sirikonda, Shwetha, primary, Kumar, S. Naresh, additional, Sravanthi, T., additional, Srinivas, J., additional, Manchikatla, Sai Teja, additional, and Kumaraswamy, E., additional
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- 2022
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7. Privacy-preserving in IoT with medical data sharing in limited computing power
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Sruthi, Mamidala, primary, Netravathi, Rippika, additional, Ramesh, Dadi, additional, and Kumaraswamy, E., additional
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- 2022
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8. Forecasting the spread of Covid-19 pandemic outbreak in India using ARIMA time series modelling.
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Sarla, Pushpalatha, Rakmaiah, S., Reddy, R. Archana, Rajesh, A., Kumaraswamy, E., Navya, and Rekha, P. Manikya
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COVID-19 pandemic ,TIME series analysis ,COVID-19 ,BOX-Jenkins forecasting ,VIRUS diseases ,MOVING average process - Abstract
COVID-19 is the infectious disease caused by the most recently discovered corona virus. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019. This paper focuses on a Time Series Model to predict COVID-19 Outbreaks in India. Every day data of fresh COVID-19 confirmed cases act as an exogenous factor in this frame. Our data envelops the time period from 01st Sep, 2020 to 9th Dec, 2020. COVID-19 Corona virus disease has been recognized as a worldwide hazard, and most of the studies are being conducted using diverse mathematical techniques to forecast the probable evolution of this outbreak. These mathematical models based on various factors and analyses are subject to potential bias. Here, we put forward a natural Times Series (TS) model that could be very useful to predict the spread of COVID-19. Here, a popular method Auto Regressive Integrated Moving Average (ARIMA) TS model is performed on the real COVID-19 data set to predict the outbreak trend of the prevalence and incidence of COVID-19 in.India. The time series under study is a non-stationary. Results obtained in the study revealed that the ARIMA model has a strong potential for prediction. The model predicted maximum COVID-19 cases in India at around 14, 22,337 with an interval (12, 80,352 - 15, 69, 817) during 1st Sep to 9th Dec period cumulatively. As per the model, the number of new cases shall fluctuate drastically in India. The results will help governments to make necessary arrangements as per the estimated cases. This kind of analysis and implications of ARIMA models and fitting procedures are useful in forecasting COVID-19 Outbreaks in India. [ABSTRACT FROM AUTHOR]
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- 2022
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9. The prediction of No2 and O3 concentrations in ambient air using soft computing techniques for hyderabad model.
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Bojja, Polaiah, Divya, V., Naidu, M. G. M., Ashok, G., and Kumaraswamy, E.
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SOFT computing ,FUZZY neural networks ,FUZZY systems ,ARTIFICIAL neural networks ,FUZZY logic ,CARBON fixation - Abstract
Generally, scientists have been built up the models for district area of Ambient air for the utilization of room however not significant metropolitan/current urban areas surrounding air areas, for instance, Hyderabad, Chennai, Mumbai and Vijayawada and so on. In the current examination, we concentrate to build up the model for Hyderabad metropolitan super city in India by utilizing Soft Computing strategies which are Fuzzy Logic Systems and ANFIS (Artificial Neural Networks and Fuzzy Inference Systems) models are created to foresee NO
2 and O3 focussed for Hyderabad City. The model of meteorological factors likes wind speed, wind direction, temperature, relative humidity, and atmospheric pressure are utilized as info factors for the advancement of the model. The outcomes acquired utilizing Soft Computing procedures were contrasted with the yields of Fuzzy Logic Systems and ANFIS models. The correlation coefficient among noticed and predicted concentrations are in the scope of 0.966 to 0.985 of Fuzzy Logic Systems and ANFIS. The assessment of model results shows that the level of accomplishment in NO2 and O3 fixation are is by all accounts good when compared with the Fuzzy Inference system which is proposed to anticipate the NO2 and O3 concentrations. The assessment of executed models can be analyzed for proposed approaches to Soft Computing procedures. Recreated studies are done for the Prediction of NO2 and O3 Concentrations in Ambient Air Using Soft Computing Techniques for Hyderabad Model utilizing MATLAB programming. [ABSTRACT FROM AUTHOR]- Published
- 2022
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10. Hybrid Electric Vehicles Application Oriented Transformation Improvement
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Vamshidhar, K, primary, Suresh, J, additional, Vedik, B., additional, and Kumaraswamy, E., additional
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- 2020
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11. A Multi-hop Network Congestion Management Routing Protocol for WNETS
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Mamidala, Sruthi, primary, Sravanthi, T., additional, Dadi, Ramesh, additional, Kumaraswamy, E, additional, and Sunil, G., additional
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- 2020
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12. Confluence of Machine Learning with Edge Computing for IoT Accession
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Mannanuddin, Khaja, primary, Aluvala, Srinivas, additional, Sneha, Y, additional, Kumaraswamy, E, additional, Sudarshan, E, additional, and Mahender, K, additional
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- 2020
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13. Low-Jitter CMOS Digital PLL for the generation of the clock in synchronous serial communication systems
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Prasad, Rajendra, primary, Ramchandar Rao, P, additional, Bojja, Polaiah, additional, and Kumaraswamy, E., additional
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- 2020
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14. The prediction of No2and O3concentrations in ambient air using soft computing techniques for hyderabad model
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Bojja, Polaiah, Divya, V., Naidu, M. G. M., Ashok, G., and Kumaraswamy, E.
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- 2022
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15. BRCA1 regulation of epidermal growth factor receptor (EGFR) expression in human breast cancer cells involves microRNA-146a and is critical for its tumor suppressor function
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Kumaraswamy, E, primary, Wendt, K L, additional, Augustine, L A, additional, Stecklein, S R, additional, Sibala, E C, additional, Li, D, additional, Gunewardena, S, additional, and Jensen, R A, additional
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- 2014
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16. An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks.
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Kumaraswamy E, Kumar S, and Sharma M
- Abstract
Invasive Ductal Carcinoma Breast Cancer (IDC-BC) is the most common type of cancer and its asymptomatic nature has led to an increased mortality rate globally. Advancements in artificial intelligence and machine learning have revolutionized the medical field with the development of AI-enabled computer-aided diagnosis (CAD) systems, which help in determining diseases at an early stage. CAD systems assist pathologists in their decision-making process to produce more reliable outcomes in order to treat patients well. In this work, the potential of pre-trained convolutional neural networks (CNNs) (i.e., EfficientNetV2L, ResNet152V2, DenseNet201), singly or as an ensemble, was thoroughly explored. The performances of these models were evaluated for IDC-BC grade classification using the DataBiox dataset. Data augmentation was used to avoid the issues of data scarcity and data imbalances. The performance of the best model was compared to three different balanced datasets of Databiox (i.e., 1200, 1400, and 1600 images) to determine the implications of this data augmentation. Furthermore, the effects of the number of epochs were analysed to ensure the coherency of the most optimal model. The experimental results analysis revealed that the proposed ensemble model outperformed the existing state-of-the-art techniques in relation to classifying the IDC-BC grades of the Databiox dataset. The proposed ensemble model of the CNNs achieved a 94% classification accuracy and attained a significant area under the ROC curves for grades 1, 2, and 3, i.e., 96%, 94%, and 96%, respectively.
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- 2023
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17. Loss of REST in breast cancer promotes tumor progression through estrogen sensitization, MMP24 and CEMIP overexpression.
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Cloud AS, Vargheese AM, Gunewardena S, Shimak RM, Ganeshkumar S, Kumaraswamy E, Jensen RA, and Chennathukuzhi VM
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- Biomarkers, Tumor genetics, Female, Humans, Loss of Function Mutation genetics, MCF-7 Cells, Neoplasm Invasiveness genetics, Neoplasm Metastasis genetics, Neoplastic Processes, Phenotype, Prognosis, RNA, Messenger genetics, Repressor Proteins, Signal Transduction genetics, Up-Regulation genetics, Breast Neoplasms genetics, Estrogens metabolism, Gene Expression Regulation, Neoplastic genetics, Hyaluronoglucosaminidase genetics, Matrix Metalloproteinases, Membrane-Associated genetics
- Abstract
Background: Breast cancer is the most common malignancy in women, and is both pathologically and genetically heterogeneous, making early detection and treatment difficult. A subset of breast cancers express normal levels of REST (repressor element 1 silencing transcription factor) mRNA but lack functional REST protein. Loss of REST function is seen in ~ 20% of breast cancers and is associated with a more aggressive phenotype and poor prognosis. Despite the frequent loss of REST, little is known about the role of REST in the molecular pathogenesis of breast cancer., Methods: TCGA data was analyzed for the expression of REST target genes in breast cancer patient samples. We then utilized gene knockdown in MCF-7 cells in the presence or absence of steroid hormones estrogen and/ progesterone followed by RNA sequencing, as well as chromatin immunoprecipitation and PCR in an attempt to understand the tumor suppressor role of REST in breast cancer., Results: We show that REST directly regulates CEMIP (cell migration-inducing and hyaluronan-binding protein, KIAA1199) and MMP24 (matrix metallopeptidase 24), genes known to have roles in invasion and metastasis. REST knockdown in breast cancer cells leads to significant upregulation of CEMIP and MMP24. In addition, we found REST binds to RE-1 sites (repressor element-1) within the genes and influences their transcription. Furthermore, we found that the estrogen receptor (ESR1) signaling pathway is activated in the absence of REST, regardless of hormone treatment., Conclusions: We demonstrate a critical role for the loss of REST in aggressive breast cancer pathogenesis and provide evidence for REST as an important diagnostic marker for personalized treatment plans., (© 2022. The Author(s).)
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- 2022
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18. BRCA1-No Matter How You Splice It.
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Li D, Harlan-Williams LM, Kumaraswamy E, and Jensen RA
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- Breast Neoplasms diagnosis, Breast Neoplasms therapy, Female, High-Throughput Nucleotide Sequencing, Humans, Alternative Splicing, BRCA1 Protein genetics, Breast Neoplasms genetics
- Abstract
BRCA1 (breast cancer 1, early onset), a well-known breast cancer susceptibility gene, is a highly alternatively spliced gene. BRCA1 alternative splicing may serve as an alternative regulatory mechanism for the inactivation of the BRCA1 gene in both hereditary and sporadic breast cancers, and other BRCA1 -associated cancers. The alternative transcripts of BRCA1 can mimic known functions, possess unique functions compared with the full-length BRCA1 transcript, and in some cases, appear to function in opposition to full-length BRCA1 In this review, we will summarize the functional "naturally occurring" alternative splicing transcripts of BRCA1 and then discuss the latest next-generation sequencing-based detection methods and techniques to detect alternative BRCA1 splicing patterns and their potential use in cancer diagnosis, prognosis, and therapy., (©2019 American Association for Cancer Research.)
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- 2019
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19. The role of BRCA1 and BRCA2 in prostate cancer.
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Li D, Kumaraswamy E, Harlan-Williams LM, and Jensen RA
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- Humans, Male, Prostatic Neoplasms pathology, Genes, BRCA1, Genes, BRCA2, Prostatic Neoplasms genetics
- Abstract
The familial aggregation of prostate cancer and breast cancer has been observed for almost half a century and about 85% of the inherited breast cancer can be linked to germ-line mutations of BRCA1 (breast cancer 1, early onset) and BRCA2. In this review, we are mainly focusing on the contribution of BRCA1/2 sequence variations to prostate cancer risk and disease progression. We will discuss the biological functions of BRCA1/2 and BRCA1/2-related signaling pathways in prostate cancer biology. The majority of studies supporting the link between BRCA1/2 mutations and prostate cancer are from populations with a high frequency of mutations, such as Ashkenazi Jewish, Icelandic, and U.K. population. BRCA1 can directly interact with the androgen receptor (AR) and Janus kinase (JAK), and can differentially regulate insulin-like growth factor 1 receptor (IGF-IR) expression in an AR-dependent manner. BRCA2 homeostasis in prostate cancer cells has been found to be critical in determining cell fates during prostate cancer progression. This review may be helpful for medical professionals and prostate cancer patients when discussing prostate cancer risks, treatment and prognosis.
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- 2013
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20. BRCA1 and HSP90 cooperate in homologous and non-homologous DNA double-strand-break repair and G2/M checkpoint activation.
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Stecklein SR, Kumaraswamy E, Behbod F, Wang W, Chaguturu V, Harlan-Williams LM, and Jensen RA
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- Antineoplastic Agents pharmacology, Benzoquinones pharmacology, Cell Division, Cell Line, Tumor, Cross-Linking Reagents pharmacology, Drug Design, Drug Screening Assays, Antitumor, G2 Phase, HeLa Cells, Homologous Recombination, Humans, Lactams, Macrocyclic pharmacology, BRCA1 Protein genetics, BRCA1 Protein physiology, DNA Breaks, Double-Stranded, DNA Repair, HSP90 Heat-Shock Proteins metabolism
- Abstract
Expression of functional breast cancer susceptibility gene 1 (BRCA1) in human breast and ovarian cancers is associated with resistance to platinum-based chemotherapeutics and poly(ADP ribose) polymerase (PARP) inhibitors. BRCA1 is a nuclear tumor suppressor that is critical for resolving double-strand DNA breaks (DSBs) and interstrand crosslinks (ICLs) by homologous recombination (HR). In vitro, animal and human clinical data have demonstrated that BRCA1-deficient cancers are highly sensitive to ICL-inducing chemotherapeutic agents, are amenable to synthetic lethal approaches that exploit defects in DSB/ICL repair, and may be associated with improved survival. Conversely, high or restored expression of BRCA1 in breast and ovarian cancer is associated with therapeutic resistance and poor prognosis. There has been much interest in identifying agents that interfere with BRCA1-dependent DSB/ICL repair to restore or enhance sensitivity to cancer therapeutics. We demonstrate that the heat-shock protein 90 (HSP90) inhibitor 17-allylamino-17-demethoxygeldanamycin [17-AAG (Tanespimycin)], currently in Phase II/III clinical evaluation for several cancers, induces BRCA1 ubiquitination and proteasomal degradation, resulting in compromised repair of ionizing radiation- and platinum-induced DNA damage. We show that loss of HSP90 function abolishes BRCA1-dependent DSB repair and that BRCA1-deficient cells are hypersensitive to 17-AAG due to impaired Gap 2/Mitosis (G2/M) checkpoint activation and resultant mitotic catastrophe. In summary, we document an upstream HSP90-dependent regulatory point in the Fanconi anemia/BRCA DSB/ICL repair pathway, illuminate the role of BRCA1 in regulating damage-associated checkpoint and repair responses to HSP90 inhibitors, and identify BRCA1 as a clinically relevant target for enhancing sensitivity in refractory and/or resistant malignancies.
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- 2012
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21. Activation of BRCA1/BRCA2-associated helicase BACH1 is required for timely progression through S phase.
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Kumaraswamy E and Shiekhattar R
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- Animals, BRCA1 Protein genetics, BRCA2 Protein genetics, Basic-Leucine Zipper Transcription Factors genetics, Caenorhabditis elegans genetics, Caenorhabditis elegans metabolism, Chromatin metabolism, DNA Damage, Enzyme Activation, Fanconi Anemia Complementation Group Proteins genetics, Humans, Multiprotein Complexes, RNA, Small Interfering genetics, RNA, Small Interfering metabolism, Tumor Suppressor Proteins genetics, Tumor Suppressor Proteins metabolism, Ubiquitin-Protein Ligases genetics, Ubiquitin-Protein Ligases metabolism, BRCA1 Protein metabolism, BRCA2 Protein metabolism, Basic-Leucine Zipper Transcription Factors metabolism, Fanconi Anemia Complementation Group Proteins metabolism, S Phase physiology
- Abstract
BACH1 (also known as FANCJ and BRIP1) is a DNA helicase that directly interacts with the C-terminal BRCT repeat of the breast cancer susceptibility protein BRCA1. Previous biochemical and functional analyses have suggested a role for the BACH1 homolog in Caenorhabditis elegans during DNA replication. Here, we report the association of BACH1 with a distinct BRCA1/BRCA2-containing complex during the S phase of the cell cycle. Depletion of BACH1 or BRCA1 using small interfering RNAs results in delayed entry into the S phase of the cell cycle. Such timely progression through S phase requires the helicase activity of BACH1. Importantly, cells expressing a dominant negative mutation in BACH1 that results in a defective helicase displayed increased activation of DNA damage checkpoints and genomic instability. BACH1 helicase is silenced during the G(1) phase of the cell cycle and is activated through a dephosphorylation event as cells enter S phase. These results point to a critical role for BACH1 helicase activity not only in the timely progression through the S phase but also in maintaining genomic stability.
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- 2007
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22. Selenoprotein expression is essential in endothelial cell development and cardiac muscle function.
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Shrimali RK, Weaver JA, Miller GF, Starost MF, Carlson BA, Novoselov SV, Kumaraswamy E, Gladyshev VN, and Hatfield DL
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- Animals, Animals, Newborn physiology, Female, Genotype, Mice, Mice, Inbred C57BL, Mice, Knockout, Phenotype, Pregnancy, RNA, Transfer, Cys genetics, RNA, Transfer, Cys metabolism, Reverse Transcriptase Polymerase Chain Reaction, Selenocysteine metabolism, Sexual Behavior, Animal physiology, Endothelial Cells metabolism, Endothelial Cells physiology, Heart growth & development, Heart physiology, Myocardium metabolism, Selenoproteins biosynthesis
- Abstract
LoxP-Cre technology was used to remove the selenocysteine tRNA gene, trsp, in either endothelial cells or myocytes of skeletal and heart muscle to elucidate the role of selenoproteins in cardiovascular disease. Loss of selenoprotein expression in endothelial cells was embryonic lethal. A 14.5-day-old embryo had numerous abnormalities including necrosis of the central nervous system, subcutaneous hemorrhage and erythrocyte immaturity. Loss of selenoprotein expression in myocytes manifested no apparent phenotype until about day 12 after birth. Affected mice had decreased mobility and an increased respiratory rate, which proceeded rapidly to death. Pathological analysis revealed that mice lacking trsp had moderate to severe myocarditis with inflammation extending into the mediastinitis. Thus, ablation of selenoprotein expression demonstrated an essential role of selenoproteins in endothelial cell development and in proper cardiac muscle function. The data suggest a direct connection between the loss of selenoprotein expression in these cell types and cardiovascular disease.
- Published
- 2007
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23. TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing.
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Chendrimada TP, Gregory RI, Kumaraswamy E, Norman J, Cooch N, Nishikura K, and Shiekhattar R
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- Argonaute Proteins, Cell Line, Eukaryotic Initiation Factor-2, Humans, Intracellular Signaling Peptides and Proteins genetics, MicroRNAs biosynthesis, MicroRNAs genetics, Multiprotein Complexes genetics, Multiprotein Complexes metabolism, Nuclear Receptor Coactivators, Peptide Initiation Factors genetics, Protein Binding, Ribonuclease III genetics, Transcription, Genetic, Gene Silencing, Intracellular Signaling Peptides and Proteins metabolism, MicroRNAs metabolism, Peptide Initiation Factors metabolism, Ribonuclease III metabolism
- Abstract
MicroRNAs (miRNAs) are generated by a two-step processing pathway to yield RNA molecules of approximately 22 nucleotides that negatively regulate target gene expression at the post-transcriptional level. Primary miRNAs are processed to precursor miRNAs (pre-miRNAs) by the Microprocessor complex. These pre-miRNAs are cleaved by the RNase III Dicer to generate mature miRNAs that direct the RNA-induced silencing complex (RISC) to messenger RNAs with complementary sequence. Here we show that TRBP (the human immunodeficiency virus transactivating response RNA-binding protein), which contains three double-stranded, RNA-binding domains, is an integral component of a Dicer-containing complex. Biochemical analysis of TRBP-containing complexes revealed the association of Dicer-TRBP with Argonaute 2 (Ago2), the catalytic engine of RISC. The physical association of Dicer-TRBP and Ago2 was confirmed after the isolation of the ternary complex using Flag-tagged Ago2 cell lines. In vitro reconstitution assays demonstrated that TRBP is required for the recruitment of Ago2 to the small interfering RNA (siRNA) bound by Dicer. Knockdown of TRBP results in destabilization of Dicer and a consequent loss of miRNA biogenesis. Finally, depletion of the Dicer-TRBP complex via exogenously introduced siRNAs diminished RISC-mediated reporter gene silencing. These results support a role of the Dicer-TRBP complex not only in miRNA processing but also as a platform for RISC assembly.
- Published
- 2005
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24. Specific excision of the selenocysteine tRNA[Ser]Sec (Trsp) gene in mouse liver demonstrates an essential role of selenoproteins in liver function.
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Carlson BA, Novoselov SV, Kumaraswamy E, Lee BJ, Anver MR, Gladyshev VN, and Hatfield DL
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- Albumins genetics, Alleles, Animals, Crosses, Genetic, Enzyme Activation, Female, Gene Expression, Glutathione Transferase analysis, Homozygote, Integrases genetics, Kidney chemistry, Liver chemistry, Liver pathology, Male, Mice, Mice, Transgenic, Necrosis, Protein Biosynthesis, Proteins analysis, RNA, Transfer, Amino Acyl physiology, Selenium analysis, Selenoprotein P, Selenoproteins, Liver physiology, Proteins physiology, RNA, Transfer, Amino Acyl genetics
- Abstract
Selenium is essential in mammalian embryonic development. However, in adults, selenoprotein levels in several organs including liver can be substantially reduced by selenium deficiency without any apparent change in phenotype. To address the role of selenoproteins in liver function, mice homozygous for a floxed allele encoding the selenocysteine (Sec) tRNA([Ser]Sec) gene were crossed with transgenic mice carrying the Cre recombinase under the control of the albumin promoter that expresses the recombinase specifically in liver. Recombination was nearly complete in mice 3 weeks of age, whereas liver selenoprotein synthesis was virtually absent, which correlated with the loss of Sec tRNA([Ser]Sec) and activities of major selenoproteins. Total liver selenium was dramatically decreased, whereas levels of low molecular weight selenocompounds were little affected. Plasma selenoprotein P levels were reduced by about 75%, suggesting that selenoprotein P is primarily exported from the liver. Glutathione S-transferase levels were elevated in the selenoprotein-deficient liver, suggesting a compensatory activation of this detoxification program. Mice appeared normal until about 24 h before death. Most animals died between 1 and 3 months of age. Death appeared to be due to severe hepatocellular degeneration and necrosis with concomitant necrosis of peritoneal and retroperitoneal fat. These studies revealed an essential role of selenoproteins in liver function.
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- 2004
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25. Regulation of BRCC, a holoenzyme complex containing BRCA1 and BRCA2, by a signalosome-like subunit and its role in DNA repair.
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Dong Y, Hakimi MA, Chen X, Kumaraswamy E, Cooch NS, Godwin AK, and Shiekhattar R
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- Breast Neoplasms genetics, Breast Neoplasms metabolism, Breast Neoplasms pathology, Carrier Proteins genetics, Carrier Proteins metabolism, Cell Cycle physiology, Cell Line, DNA Damage, DNA-Binding Proteins genetics, DNA-Binding Proteins metabolism, Female, Humans, Molecular Sequence Data, Multienzyme Complexes, Nerve Tissue Proteins metabolism, RNA, Small Interfering metabolism, Rad51 Recombinase, Radiation, Ionizing, Tumor Suppressor Protein p53 metabolism, Ubiquitin metabolism, Ubiquitin-Conjugating Enzymes metabolism, Ubiquitin-Protein Ligases genetics, Ubiquitin-Protein Ligases isolation & purification, BRCA1 Protein metabolism, BRCA2 Protein metabolism, DNA Repair, Protein Subunits metabolism, Tumor Suppressor Proteins, Ubiquitin-Protein Ligases metabolism
- Abstract
We have isolated a holoenzyme complex termed BRCC containing BRCA1, BRCA2, and RAD51. BRCC not only displays increased association with p53 following DNA damage but also ubiquitinates p53 in vitro. BRCC36 and BRCC45 are novel components of the complex with sequence homology to a subunit of the signalosome and proteasome complexes. Reconstitution of a recombinant four-subunit complex containing BRCA1/BARD1/BRCC45/BRCC36 revealed an enhanced E3 ligase activity compared to that of BRCA1/BARD1 heterodimer. In vivo, depletion of BRCC36 and BRCC45 by the small interfering RNAs (siRNAs) resulted in increased sensitivity to ionizing radiation and defects in G2/M checkpoint. BRCC36 shows aberrant expression in sporadic breast tumors. These findings identify BRCC as a ubiquitin E3 ligase complex that enhances cellular survival following DNA damage.
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- 2003
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26. Models for assessing the role of selenoproteins in health.
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Moustafa ME, Kumaraswamy E, Zhong N, Rao M, Carlson BA, and Hatfield DL
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- Animals, Mice, Mice, Knockout, Mice, Transgenic, Selenoproteins, Models, Biological, Proteins physiology, RNA, Transfer, Amino Acyl genetics, Selenocysteine genetics
- Abstract
Two model systems for examining the role of selenoproteins in health are discussed. One utilizes transgenic mice that carry mutant selenocysteine (Sec) tRNA transgenes that result in the reduction of selenoprotein expression in a protein- and tissue-specific manner. The other utilizes loxP-Cre technology to selectively remove the Sec tRNA gene in mammary epithelium that results in the reduction of only certain selenoproteins in this tissue. Both approaches provide important tools for examining the role of selenoproteins in health.
- Published
- 2003
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27. Selective removal of the selenocysteine tRNA [Ser]Sec gene (Trsp) in mouse mammary epithelium.
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Kumaraswamy E, Carlson BA, Morgan F, Miyoshi K, Robinson GW, Su D, Wang S, Southon E, Tessarollo L, Lee BJ, Gladyshev VN, Hennighausen L, and Hatfield DL
- Subjects
- Alleles, Animals, Blotting, Northern, Blotting, Western, Chromatography, Crosses, Genetic, Gene Deletion, Genes, BRCA1, Genes, p53 genetics, Genetic Vectors, Glutathione Peroxidase metabolism, Heterozygote, Kidney metabolism, Mice, Mice, Inbred C57BL, Mice, Knockout, Mice, Transgenic, Models, Genetic, Phenotype, Promoter Regions, Genetic, Proteins metabolism, Recombination, Genetic, Selenoproteins, Tissue Distribution, Transgenes, Breast metabolism, Epithelium metabolism, RNA, Transfer, Amino Acyl genetics, RNA, Transfer, Amino Acyl metabolism
- Abstract
Mice homozygous for an allele encoding the selenocysteine (Sec) tRNA [Ser]Sec gene (Trsp) flanked by loxP sites were generated. Cre recombinase-dependent removal of Trsp in these mice was lethal to embryos. To investigate the role of Trsp in mouse mammary epithelium, we deleted this gene by using transgenic mice carrying the Cre recombinase gene under control of the mouse mammary tumor virus (MMTV) long terminal repeat or the whey acidic protein promoter. While both promoters target Cre gene expression to mammary epithelium, MMTV-Cre is also expressed in spleen and skin. Sec tRNA [Ser]Sec amounts were reduced by more than 70% in mammary tissue with either transgene, while in skin and spleen, levels were reduced only with MMTV-Cre. The selenoprotein population was selectively affected with MMTV-Cre in breast and skin but not in the control tissue, kidney. Moreover, within affected tissues, expression of specific selenoproteins was regulated differently and often in a contrasting manner, with levels of Sep15 and the glutathione peroxidases GPx1 and GPx4 being substantially reduced. Expression of the tumor suppressor genes BRCA1 and p53 was also altered in a contrasting manner in MMTV-Cre mice, suggesting greater susceptibility to cancer and/or increased cell apoptosis. Thus, the conditional Trsp knockout mouse allows tissue-specific manipulation of Sec tRNA and selenoprotein expression, suggesting that this approach will provide a useful tool for studying the role of selenoproteins in health.
- Published
- 2003
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28. Genetic and functional analysis of mammalian Sep15 selenoprotein.
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Kumaraswamy E, Korotkov KV, Diamond AM, Gladyshev VN, and Hatfield DL
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- Amino Acid Sequence, Animals, Base Sequence, Blotting, Western, Cloning, Molecular, DNA Transposable Elements, DNA, Complementary genetics, Gene Expression, Humans, Liver chemistry, Male, Mice, Microscopy, Confocal, Molecular Sequence Data, Polymorphism, Genetic, Proteins isolation & purification, RNA, Messenger genetics, RNA, Messenger metabolism, Rats, Selenocysteine genetics, Selenoproteins, Sequence Homology, Amino Acid, Transfection, Proteins genetics, Proteins metabolism
- Published
- 2002
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29. Association between the 15-kDa selenoprotein and UDP-glucose:glycoprotein glucosyltransferase in the endoplasmic reticulum of mammalian cells.
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Korotkov KV, Kumaraswamy E, Zhou Y, Hatfield DL, and Gladyshev VN
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- Amino Acid Sequence, Animals, Base Sequence, DNA Primers, Glucosyltransferases chemistry, Male, Mice, Molecular Sequence Data, Prostate metabolism, Protein Binding, Rats, Selenoproteins, Subcellular Fractions metabolism, Glucosyltransferases metabolism, Proteins metabolism
- Abstract
Mammalian selenocysteine-containing proteins characterized with respect to function are involved in redox processes and exhibit distinct expression patterns and cellular locations. A recently identified 15-kDa selenoprotein (Sep15) has no homology to previously characterized proteins, and its function is not known. Here we report the intracellular localization and identification of a binding partner for this selenoprotein which implicate Sep15 in the regulation of protein folding. The native Sep15 isolated from rat prostate and mouse liver occurred in a complex with a 150-kDa protein. The latter protein was identified as UDP-glucose:glycoprotein glucosyltransferase (UGTR), the endoplasmic reticulum (ER)-resident protein, which was previously shown to be involved in the quality control of protein folding. UGTR functions by glucosylating misfolded proteins, retaining them in the ER until they are correctly folded or transferring them to degradation pathways. To determine the intracellular localization of Sep15, we expressed a green fluorescent protein-Sep15 fusion protein in CV-1 cells, and this protein was localized to the ER and possibly other perinuclear compartments. We determined that Sep15 contained the N-terminal signal peptide that was essential for translocation and that it was cleaved in the mature protein. However, C-terminal sequences of Sep15 were not involved in trafficking and retention of Sep15. The data suggest that the association between Sep15 and UGTR is responsible for maintaining the selenoprotein in the ER. This report provides the first example of the ER-resident selenoprotein and suggests a possible role of the trace element selenium in the quality control of protein folding.
- Published
- 2001
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30. Structure-expression relationships of the 15-kDa selenoprotein gene. Possible role of the protein in cancer etiology.
- Author
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Kumaraswamy E, Malykh A, Korotkov KV, Kozyavkin S, Hu Y, Kwon SY, Moustafa ME, Carlson BA, Berry MJ, Lee BJ, Hatfield DL, Diamond AM, and Gladyshev VN
- Subjects
- 3' Untranslated Regions, Adolescent, Adult, Aged, Alleles, Amino Acid Sequence, Animals, Base Sequence, Blotting, Northern, Blotting, Southern, Blotting, Western, Cell Line, Chromosome Mapping, Chromosomes, Human, Pair 1, DNA Transposable Elements, DNA, Complementary metabolism, Dose-Response Relationship, Drug, Exons, Female, Genes, Reporter, Humans, Introns, Iodide Peroxidase metabolism, Male, Mice, Middle Aged, Models, Genetic, Molecular Sequence Data, Nucleic Acid Conformation, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Protein Biosynthesis, RNA, Messenger metabolism, Rats, Selenoproteins, Sequence Analysis, DNA, Sequence Homology, Amino Acid, Structure-Activity Relationship, Tissue Distribution, Transcription, Genetic, Transfection, Tumor Cells, Cultured, Neoplasms genetics, Proteins genetics, Selenium metabolism
- Abstract
Selenium has been implicated in cancer prevention, but the mechanism and possible involvement of selenoproteins in this process are not understood. To elucidate whether the 15-kDa selenoprotein may play a role in cancer etiology, the complete sequence of the human 15-kDa protein gene was determined, and various characteristics associated with expression of the protein were examined in normal and malignant cells and tissues. The 51-kilobase pair gene for the 15-kDa selenoprotein consisted of five exons and four introns and was localized on chromosome 1p31, a genetic locus commonly mutated or deleted in human cancers. Two stem-loop structures resembling selenocysteine insertion sequence elements were identified in the 3'-untranslated region of the gene, and only one of these was functional. Two alleles in the human 15-kDa protein gene were identified that differed by two single nucleotide polymorphic sites that occurred within the selenocysteine insertion sequence-like structures. These 3'-untranslated region polymorphisms resulted in changes in selenocysteine incorporation into protein and responded differently to selenium supplementation. Human and mouse 15-kDa selenoprotein genes manifested the highest level of expression in prostate, liver, kidney, testis, and brain, and the level of the selenoprotein was reduced substantially in a malignant prostate cell line and in hepatocarcinoma. The expression pattern of the 15-kDa protein in normal and malignant tissues, the occurrence of polymorphisms associated with protein expression, the role of selenium in differential regulation of polymorphisms, and the chromosomal location of the gene may be relevant to a role of this protein in cancer.
- Published
- 2000
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31. Septran in the Treatment of Gonorrhoea.
- Author
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Sowmini CN, Vijayalakshmi K, Rao GC, Gopalan KN, and Kumaraswamy E
- Published
- 1976
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