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| 1 | Legalon-SIL downregulates HCV core and NS5A in human hepatocytes expressing full-length HCV显示文摘AIM: To determine the effect of Legalon-SIL (LS) on hepatitis C virus (HCV) core and NS5A expression and on heme oxygenase-1 (HMOX-1) and its transcriptional regulators in human hepatoma cells expressing full length HCV genotype 1b. METHODS: CON1 cells were treated with 50 μmol/L or 200 μmol/L LS. Cells were harvested after 2, 6 and 24 h. HCV RNA and protein levels were determined by quantitative real-time polymerase chain reaction and Western blotting, respectively. RESULTS: HCV RNA (core and NS5A regions) wasdecreased after 6 h with LS 200 μmol/L (P < 0.05). Both 50 and 200 μmol/L LS decreased HCV RNA levels [core region (by 55% and 88%, respectively) and NS5A region (by 62% and 87%, respectively) after 24 h compared with vehicle (dimethyl sulphoxide) control (P < 0.01). Similarly HCV core and NS5A protein were decreased (by 85%, P < 0.01 and by 65%, P < 0.05, respectively) by LS 200 μmol/L. Bach1 and HMOX-1 RNA were also downregulated by LS treatment (P < 0.01), while Nrf2 protein was increased (P < 0.05).CONCLUSION: Our results demonstrate that treatment with LS downregulates HCV core and NS5A expression in CON1 cells which express full length HCV genotype 1b, and suggests that LS may prove to be a valuable alternative or adjunctive therapy for the treatment of HCV infection. | Marjan Mehrab-Mohseni Hossein Sendi Nury Steuerwald Sriparna Ghosh Laura W Schrum Herbert L Bonkovsky | 2011 | World Journal of Gastroenterology2011，17，13： | 3 |
| 2 | High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer显示文摘 | Sriparna Ghosh Catherine A.W. Sullivan Maciej P. Zerkowski Annette M. Molinaro David L. Rimm Robert L. Camp Gina G. Chung | 2008 | Human Pathology2008，，12： | 2 |
| 3 | A symmetry based multiobjective clustering technique for automatic evolu- tion of clusters 显示文摘 | Sriparna Saha Sanghamitra Bandyopadhyay | 2010 | Pattern Recognition2010，43，3： | 1 |
| 4 | GAPS:A clustering method using a new point symmetry-based distance measure 显示文摘 | Sanghamitra B Sriparna S | 2007 | Pattern Recognition2007，40，12： | 1 |
| 5 | A New Line Symmetry Distance and Its Application to Data Clustering显示文摘In this paper,at first a new line-symmetry-based distance is proposed.The properties of the proposed distance are then elaborately described.Kd-tree-based nearest neighbor search is used to reduce the complexity of computing the proposed line-symmetry-based distance.Thereafter an evolutionary clustering technique is developed that uses the new linesymmetry -based distance measure for assigning points to different clusters.Adaptive mutation and crossover probabilities are used to accelerate the proposed clustering technique.The proposed GA with line-symmetry-distance-based(GALSD) clustering technique is able to detect any type of clusters,irrespective of their geometrical shape and overlapping nature, as long as they possess the characteristics of line symmetry.GALSD is compared with the existing well-known K-means clustering algorithm and a newly developed genetic point-symmetry-distance-based clustering technique(GAPS) for three artificial and two real-life data sets.The efficacy of the proposed line-symmetry-based distance is then shown in recognizing human face from a given image. | Sriparna Saha Sanghamitra Bandyopadhyay | 2009 | Journal of Computer Science & Technology2009，24，3： | 1 |
| 6 | Evaluation of Antihyperglycemic Activity of Citrus limetta Fruit Peel in Streptozotocin-Induced Diabetic Rats显示文摘 | Sriparna KunduSen Pallab K. Haldar Malaya Gupta Upal K. Mazumder Prerona Saha Asis Bala Sanjib Bhattacharya Biswakanth Kar C. Anderwald T.-H. Tung | 2011 | ISRN Endocrinology2011，，： | 1 |
| 7 | Some recent results on the linear complementarity problem显示文摘 | PARTHASARATHY T SRIPARNA B | 1998 | SIAM J Matrix Anal Appl1998，19，： | 1 |
| 8 | On the solution sets of linear complementarity problems显示文摘 | PARTHASARATHY T SRIPARNA B | 2000 | SIAM J Matrix Anal Appl2000，21，： | 1 |
| 9 | A simulated annealing-based multiobjective optimization algorithm:AMOSA显示文摘 | SANGHAMITRA B SRIPARNA S MAULIK U | 2008 | IEEE Transactions on Evolutionary Computation2008，12，3： | 1 |
| 10 | Newer diagnostic tests for bacterial diseases显示文摘 | Bhatia D Sriparna B | 2007 | Indian Journal of Pediatrics2007，74，7： | 1 |
| 11 | A Simulated Annealing Based Multi-objective Optimization Algorithm: AMOSA显示文摘 | Sanghamitra B Sriparna S Ujjwal M et a1 | 2008 | IEEE Transaction on Evolutionary Computation2008，12，3： | 1 |
| 12 | Use of Different Forms of Symmetry and Multi-objective Optimization for Automatic Pixel Classification in Remote-sensing Satellite Imagery显示文摘 | Sriparna S Sanghamitra B | 2010 | International Journal of Remote Sensing2010，31，22： | 1 |
| 13 | A Stack-based Ensemble Framework for Detecting Cancer MicroRNA Biomarkers显示文摘MicroRNA(miRNA) plays vital roles in biological processes like RNA splicing and regulation of gene expression. Studies have revealed that there might be possible links between oncogenesis and expression pro?les of some miRNAs, due to their differential expression between normal and tumor tissues. However, the automatic classi?cation of miRNAs into different categories by considering the similarity of their expression values has rarely been addressed. This article proposes a solution framework for solving some real-life classi?cation problems related to cancer,miRNA, and mRNA expression datasets. In the ?rst stage, a multiobjective optimization based framework, non-dominated sorting genetic algorithm II, is proposed to automatically determine the appropriate classi?er type, along with its suitable parameter and feature combinations, pertinent for classifying a given dataset. In the second page, a stack-based ensemble technique is employed to get a single combinatorial solution from the set of solutions obtained in the ?rst stage. The performance of the proposed two-stage approach is evaluated on several cancer and RNA expression pro-?le datasets. Compared to several state-of-the-art approaches for classifying different datasets, our method shows supremacy in the accuracy of classi?cation. | Sriparna Saha Sayantan Mitra Ravi Kant Yadav | 2017 | Genomics, Proteomics & Bioinformatics2017，15，6： | 1 |
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