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991.
Mahesh Bachu Swarupa Yalla Mangaiarkarasi Asokan Anjali Verma Ujjwal Neogi Shilpee Sharma Rajesh V. Murali Anil Babu Mukthey Raghavendra Bhatt Snehajyoti Chatterjee Roshan Elizabeth Rajan Narayana Cheedarla Venkat S. Yadavalli Anita Mahadevan Susarla K. Shankar Nirmala Rajagopalan Anita Shet Shanmugam Saravanan Pachamuthu Balakrishnan Suniti Solomon Madhu Vajpayee Kadappa Shivappa Satish Tapas K. Kundu Kuan-Teh Jeang Udaykumar Ranga 《The Journal of biological chemistry》2012,287(53):44714-44735
992.
Yashodhara Sharma Sandeep Saxena Arvind Mishra Anita Saxena Shankar Madhav Natu 《Journal of ocular biology, diseases, and informatics》2012,5(3-4):63-69
Studies have established hyperglycemia as the most important factor in the progress of vascular complications. Formation of advanced glycation end products (AGEs) correlates with glycemic control. The AGE hypothesis proposes that hyperglycemia contributes to the pathogenesis of diabetic complications including retinopathy. However, their role in diabetic retinopathy remains largely unknown. This review discusses the chemistry of AGEs formation and their patho-biochemistry particularly in relation to diabetic retinopathy. AGEs exert deleterious effects by acting directly to induce cross-linking of long-lived proteins to promote vascular stiffness, altering vascular structure and function and interacting with receptor for AGE, to induce intracellular signaling leading to enhanced oxidative stress and elaboration of key proinflammatory and prosclerotic cytokines. Novel anti-AGE strategies are being developed hoping that in next few years, some of these promising therapies will be successfully evaluated in clinical context aiming to reduce the major economical and medical burden caused by diabetic retinopathy. 相似文献
993.
Vishal A. Verma Randall Rossman Frank Bennett Lei Chen Stephen Gavalas Vinay Girijavallabhan Yuhua Huang Seong-Heon Kim Aneta Kosinski Patrick Pinto Razia Rizvi Bandarpalle Shankar Ling Tong Francisco Velazquez Srikanth Venkatraman Joseph Kozlowski Malcolm MacCoss Cecil D. Kwong Namita Bansal Hollis S. Kezar Ashok Arasappan 《Bioorganic & medicinal chemistry letters》2012,22(22):6967-6973
The installation of geminal substitution at the C5′ position of the carbosugar in our pyrimidine-derived hepatitis C inhibitor series is reported. SAR studies around the C5′ position led to the installation of the dimethyl group as the optimal functionality. An improved route was subsequently designed to access these substitutions. Expanded SAR at the C2 amino position led to the utilization of C2 ethers. These compounds exhibited good potency, high selectivity, and excellent plasma exposure and bioavailability in rodent as well as in higher species. 相似文献
994.
C16S - a Hidden Markov Model based algorithm for taxonomic classification of 16S rRNA gene sequences
Recent advances in high throughput sequencing technologies and concurrent refinements in 16S rDNA isolation techniques have facilitated the rapid extraction and sequencing of 16S rDNA content of microbial communities. The taxonomic affiliation of these 16S rDNA fragments is subsequently obtained using either BLAST-based or word frequency based approaches. However, the classification accuracy of such methods is observed to be limited in typical metagenomic scenarios, wherein a majority of organisms are hitherto unknown. In this study, we present a 16S rDNA classification algorithm, called C16S, that uses genus-specific Hidden Markov Models for taxonomic classification of 16S rDNA sequences. Results obtained using C16S have been compared with the widely used RDP classifier. The performance of C16S algorithm was observed to be consistently higher than the RDP classifier. In some scenarios, this increase in accuracy is as high as 34%. A web-server for the C16S algorithm is available at http://metagenomics.atc.tcs.com/C16S/. 相似文献
995.
Hocking JC Pollock NS Johnston J Wilson RJ Shankar A McFarlane S 《Mechanisms of development》2012,129(5-8):125-135
The shape of a neuron's dendritic arbor is critical for its function as it determines the number of inputs the neuron can receive and how those inputs are processed. During development, a neuron initiates primary dendrites that branch to form a simple arbor. Subsequently, growth occurs by a process that combines the extension and retraction of existing dendrites, and the addition of new branches. The loss and addition of the fine terminal branches of retinal ganglion cells (RGCs) is dependent on afferent inputs from its synaptic partners, the amacrine and bipolar cells. It is unknown, however, whether neural activity regulates the initiation of primary dendrites and their initial branching. To investigate this, Xenopus laevis RGCs developing in vivo were made to express either a delayed rectifier type voltage-gated potassium (KV) channel, Xenopus Kv1.1, or a human inward rectifying channel, Kir2.1, shown previously to modulate the electrical activity of Xenopus spinal cord neurons. Misexpression of either potassium channel increased the number of branch points and the total length of all the branches. As a result, the total dendritic arbor was bigger than for control green fluorescent protein-expressing RGCs and those ectopically expressing a highly related mutant non-functional Kv1.1 channel. Our data indicate that membrane excitability regulates the earliest differentiation of RGC dendritic arbors. 相似文献
996.
Sundar S Baker TA Sauer RT 《Protein science : a publication of the Protein Society》2012,21(2):188-198
In the AAA+ HslUV protease, substrates are bound and unfolded by a ring hexamer of HslU, before translocation through an axial pore and into the HslV degradation chamber. Here, we show that the N-terminal residues of an Arc substrate initially bind in the HslU axial pore, with key contacts mediated by a pore loop that is highly conserved in all AAA+ unfoldases. Disordered loops from the six intermediate domains of the HslU hexamer project into a funnel-shaped cavity above the pore and are positioned to contact protein substrates. Mutations in these I-domain loops increase K(M) and decrease V(max) for degradation, increase the mobility of bound substrates, and prevent substrate stimulation of ATP hydrolysis. HslU-ΔI has negligible ATPase activity. Thus, the I domain plays an active role in coordinating substrate binding, ATP hydrolysis, and protein degradation by the HslUV proteolytic machine. 相似文献
997.
DeAngelis RA Markiewski MM Kourtzelis I Rafail S Syriga M Sandor A Maurya MR Gupta S Subramaniam S Lambris JD 《Journal of immunology (Baltimore, Md. : 1950)》2012,188(2):641-648
The involvement of IL-4 in liver regeneration has not yet been recognized. In this article, we show that IL-4, produced by NKT cells that accumulate in regenerating livers after partial hepatectomy, contributes to this process by regulating the activation of complement after liver resection in mice. The mechanism of this regulation was associated with the maintenance of an appropriate level of IgM in mouse blood, because IgM deposited in liver parenchyma most likely initiated complement activation during liver regeneration. By controlling complement activation, IL-4 regulated the induction of IL-6, thereby influencing a key pathway involved in regenerating liver cell proliferation and survival. Furthermore, the secretion of IL-4 was controlled by complement through the recruitment of NKT cells to regenerating livers. Our study thus reveals the existence of a regulatory feedback mechanism involving complement and IL-4 that controls liver regeneration. 相似文献
998.
999.
1000.
Simple total tag count normalization is inadequate for microRNA sequencing data generated from the next generation sequencing technology. However, so far systematic evaluation of normalization methods on microRNA sequencing data is lacking. We comprehensively evaluate seven commonly used normalization methods including global normalization, Lowess normalization, Trimmed Mean Method (TMM), quantile normalization, scaling normalization, variance stabilization, and invariant method. We assess these methods on two individual experimental data sets with the empirical statistical metrics of mean square error (MSE) and Kolmogorov-Smirnov (K-S) statistic. Additionally, we evaluate the methods with results from quantitative PCR validation. Our results consistently show that Lowess normalization and quantile normalization perform the best, whereas TMM, a method applied to the RNA-Sequencing normalization, performs the worst. The poor performance of TMM normalization is further evidenced by abnormal results from the test of differential expression (DE) of microRNA-Seq data. Comparing with the models used for DE, the choice of normalization method is the primary factor that affects the results of DE. In summary, Lowess normalization and quantile normalization are recommended for normalizing microRNA-Seq data, whereas the TMM method should be used with caution. 相似文献