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      • KCI등재

        Factors affecting Agrobacterium-mediated transformation in Hybanthus enneaspermus (L.) F. Muell

        Ganeshan Sivanandhan,Chinnathambi Arunachalam,Venkatachalam Vasudevan,Gnanajothi Kapildev,Ali Alharbi Sulaiman,Natesan Selvaraj,Andy Ganapathi,임용표 한국식물생명공학회 2016 Plant biotechnology reports Vol.10 No.2

        Agrobacterium tumefaciens-mediated transformation system was established for Hybanthus enneaspermus using leaf explants with the strain LBA4404 harbouring pCAMBIA 2301 carrying the nptII and gusA genes. Sensitivity of leaf explants to kanamycin was standardized (100 mg/l) for screening the transgenic plants. Transformation parameters (OD, virulence inducer, infection time, co-cultivation period, bactericidal antibiotics, etc.) influencing the gene transfer and integration were assessed in the present investigation. Fourteen-day precultured explants were subjected with Agrobacterium strain LBA4404. Optimized parameters such as culture density of 0.5 OD600, infection time of 6 min, AS concentration of 150 lM with 3 days co-cultivation revealed maximum transformation efficiency based on GUS expression assay. The presence of gusA in transgenics was confirmed by polymerase chain reaction and Southern blotting analysis. The present transformation experiment yielded 20 shoots/explant with higher transformation efficiency (28 %). The protocol could be used to introduce genes for trait improvement as well as for altering metabolic pathway for secondary metabolites production.

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        NF-κB in cancer therapy.

        Li, Feng,Zhang, Jingwen,Arfuso, Frank,Chinnathambi, Arunachalam,Zayed, M E,Alharbi, Sulaiman Ali,Kumar, Alan Prem,Ahn, Kwang Seok,Sethi, Gautam Springer-Verlag 2015 Archives of toxicology Vol.89 No.5

        <P>The transcription factor nuclear factor kappa B (NF-kappa B) has attracted increasing attention in the field of cancer research from last few decades. Aberrant activation of this transcription factor is frequently encountered in a variety of solid tumors and hematological malignancies. NF-kappa B family members and their regulated genes have been linked to malignant transformation, tumor cell proliferation, survival, angiogenesis, invasion/metastasis, and therapeutic resistance. In this review, we highlight the diverse molecular mechanism(s) by which the NF-kappa B pathway is constitutively activated in different types of human cancers, and the potential role of various oncogenic genes regulated by this transcription factor in cancer development and progression. Additionally, various pharmacological approaches employed to target the deregulated NF-kappa B signaling pathway, and their possible therapeutic potential in cancer therapy is also discussed briefly.</P>

      • Isorhynchophylline, a Potent Plant Alkaloid, Induces Apoptotic and Anti-Metastatic Effects in Human Hepatocellular Carcinoma Cells through the Modulation of Diverse Cell Signaling Cascades

        Lee, Hanwool,Baek, Seung Ho,Lee, Jong Hyun,Kim, Chulwon,Ko, Jeong-Hyeon,Lee, Seok-Geun,Chinnathambi, Arunachalam,Alharbi, Sulaiman Ali,Yang, Woong Mo,Um, Jae-Young,Sethi, Gautam,Ahn, Kwang Seok MDPI 2017 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES Vol.18 No.5

        <P>Isorhynchophylline (Rhy) is an active pharmacological component of <I>Uncaria rhynchophylla</I> that has been reported previously to exert significant antihypertensive and neuroprotective effects. However, very little is known about its potential anti-cancer activities. This study was carried out to evaluate the anticancer effects of Rhy against various human carcinoma cell lines. We found that Rhy exhibited substantial cytotoxic effect against human hepatocellular carcinoma HepG2 cells when compared with other human carcinoma cell lines including those of lung, pancreas, prostate, head and neck, breast, multiple myeloma, brain and renal cell carcinoma. Rhy induced apoptosis as characterized by accumulation of cells in sub G1 phase; positive Annexin V binding; activation of caspase-8, -9, and -3; and cleavage of PARP (poly-ADP ribose polymerase). This effect of Rhy correlated with the down-regulation of various proteins that mediated cell proliferation, cell survival, metastasis, and angiogenesis. Moreover, cell proliferation, migration, and constitutive CXCR4 (C-X-C chemokine receptor type 4), MMP-9 (Matrix metallopeptidase-9), and MMP-2 expression were inhibited upon Rhy treatment. We further investigated the effect of Rhy on the oncogenic cell signaling cascades through phospho-kinase array profiling assay. Rhy was found to abrogate phospho-p38, ERK, JNK, CREB, c-Jun, Akt, and STAT3 signals, but interestingly enhanced phospho-p53 signal. Overall, our results indicate, for the first time, that Rhy could exert anticancer and anti-metastatic effects through regulation of multiple signaling cascades in hepatocellular carcinoma cells.</P>

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        Monitoring and Identification of Various Glucose Levels of Diabetes Patients Using Edge Based Machine Learning Approach

        Maheshwari A.,Hemalatha B.,Lakshmi G.,Kavitha A.,Tata Ravi Kumar,Taqui Syed Noeman,Al Obaid Sami,Alharbi Sulaiman Ali,Raghavan S. S. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3

        The diabetes is a disease that can become a serious disorder for a lifetime. It kills more than a million people every year. This disease can afect anyone. Diabetes occurs when the body is unable to process all the sugar (glucose) in the bloodstream; its complications can move to heart issues, caress, vision loss, and kidney stoppage and leg amputation problems. Many people with diabetes inject their body daily and feel that their work is done. Diabetes is an incurable disease because of poor health. The diabetes be able to be divided keen on2 types. The type-1 diabetes is hereditary. It is not easy to cure. People with type 2 diabetes can greatly reduce their risk of developing diabetes by following a proper, proper lifestyle. In addition it helps reduce the risk of diabetes. The proposed model of managing diabetics explains this disease as a specifc lifestyle. The existence of an efective system for the treatment of diabetes, according to the tasks currently set out, provides for the achievement of goals. The proposed edge based machine learning approach was achieved 85% of results compared with the Blood glucose level prediction, Adaptive multivariable closed-loop control, neural model of blood glucose level and Detecting Undiagnosed Diabetes.

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