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Mária Filková Hana Hulejová Klára Kuncová Lenka Ple?tilová Lucie Andrés Cerezo He?man Mann Martin Klein Josef Záme?ník Steffen Gay Ji?í Vencovsky Ladislav ?enolt 《Arthritis research & therapy》2012,14(3):R111-9
Introduction
The purpose of this study was to evaluate and compare the serum levels and local expression of resistin in patients with idiopathic inflammatory myopathies to controls, and to determine the relationship between resistin levels, inflammation and disease activity.Methods
Serum resistin levels were determined in 42 patients with inflammatory myopathies and 27 healthy controls. The association among resistin levels, inflammation, global disease activity and muscle strength was examined. The expression of resistin in muscle tissues from patients with inflammatory myopathies and healthy controls was evaluated. Gene expression and protein release from resistin-stimulated muscle and mononuclear cells were assessed.Results
In patients with inflammatory myopathies, the serum levels of resistin were significantly higher than those observed in controls (8.53 ± 6.84 vs. 4.54 ± 1.08 ng/ml, P < 0.0001) and correlated with C-reactive protein (CRP) levels (r = 0.328, P = 0.044) and myositis disease activity assessment visual analogue scales (MYOACT) (r = 0.382, P = 0.026). Stronger association was observed between the levels of serum resistin and CRP levels (r = 0.717, P = 0.037) as well as MYOACT (r = 0.798, P = 0.007), and there was a trend towards correlation between serum resistin and myoglobin levels (r = 0.650, P = 0.067) in anti-Jo-1 positive patients. Furthermore, in patients with dermatomyositis, serum resistin levels significantly correlated with MYOACT (r = 0.667, P = 0.001), creatine kinase (r = 0.739, P = 0.001) and myoglobin levels (r = 0.791, P = 0.0003) and showed a trend towards correlation with CRP levels (r = 0.447, P = 0.067). Resistin expression in muscle tissue was significantly higher in patients with inflammatory myopathies compared to controls, and resistin induced the expression of interleukins (IL)-1β and IL-6 and monocyte chemoattractant protein (MCP)-1 in mononuclear cells but not in myocytes.Conclusions
The results of this study indicate that higher levels of serum resistin are associated with inflammation, higher global disease activity index and muscle injury in patients with myositis-specific anti-Jo-1 antibody and patients with dermatomyositis. Furthermore, up-regulation of resistin in muscle tissue and resistin-induced synthesis of pro-inflammatory cytokines in mononuclear cells suggest a potential role for resistin in the pathogenesis of inflammatory myopathies. 相似文献3.
Volkova M. V. Boyarintsev V. V. Trofimenko A. V. Biryukov S. A. Gorina E. V. Filkov G. I. Durymanov M. O. 《Biophysics》2020,65(6):935-941
Biophysics - Quantitative determination of cytokines, chemokines, growth factors, and other soluble protein molecules in various biological fluids is a routine task of modern diagnostics and... 相似文献
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Since the introduction of the Perfect Phylogeny Haplotyping (PPH) Problem in RECOMB 2002 (Gusfield, 2002), the problem of finding a linear-time (deterministic, worst-case) solution for it has remained open, despite broad interest in the PPH problem and a series of papers on various aspects of it. In this paper, we solve the open problem, giving a practical, deterministic linear-time algorithm based on a simple data structure and simple operations on it. The method is straightforward to program and has been fully implemented. Simulations show that it is much faster in practice than prior nonlinear methods. The value of a linear-time solution to the PPH problem is partly conceptual and partly for use in the inner loop of algorithms for more complex problems, where the PPH problem must be solved repeatedly. 相似文献
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MOTIVATION: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus on identifying simple, but prominent, structural components, as such components are easier to understand, and, once identified, can be used as building blocks to succinctly describe the network. RESULTS: In recent social network studies, exponential random graph models have been used extensively to model global social network structure as a function of their 'local features'. Starting from those studies, we describe the exponential random graph models and demonstrate their utility in modeling the architecture of biological networks as a function of the prominence of local features. We argue that the flexibility, in terms of the number of available local feature choices, and scalability, in terms of the network sizes, make this approach ideal for statistical modeling of biological networks. We illustrate the modeling on both genetic and metabolic networks and provide a novel way of classifying biological networks based on the prevalence of their local features. 相似文献
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Tsai H Howell T Nitcher R Missirian V Watson B Ngo KJ Lieberman M Fass J Uauy C Tran RK Khan AA Filkov V Tai TH Dubcovsky J Comai L 《Plant physiology》2011,156(3):1257-1268
Discovery of rare mutations in populations requires methods, such as TILLING (for Targeting Induced Local Lesions in Genomes), for processing and analyzing many individuals in parallel. Previous TILLING protocols employed enzymatic or physical discrimination of heteroduplexed from homoduplexed target DNA. Using mutant populations of rice (Oryza sativa) and wheat (Triticum durum), we developed a method based on Illumina sequencing of target genes amplified from multidimensionally pooled templates representing 768 individuals per experiment. Parallel processing of sequencing libraries was aided by unique tracer sequences and barcodes allowing flexibility in the number and pooling arrangement of targeted genes, species, and pooling scheme. Sequencing reads were processed and aligned to the reference to identify possible single-nucleotide changes, which were then evaluated for frequency, sequencing quality, intersection pattern in pools, and statistical relevance to produce a Bayesian score with an associated confidence threshold. Discovery was robust both in rice and wheat using either bidimensional or tridimensional pooling schemes. The method compared favorably with other molecular and computational approaches, providing high sensitivity and specificity. 相似文献
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Yan A. Ivanenkov Alexander G. Majouga Rostislav A. Petrov Stanislav A. Petrov Sergey V. Kovalev Svetlana Yu. Maklakova Emil Yu. Yamansarov Irina V. Saltykova Ekaterina V. Deyneka Gleb I. Filkov Victor E. Kotelianski Timofey S. Zatsepin Elena K. Beloglazkina 《Bioorganic & medicinal chemistry letters》2018,28(3):503-508
Asialoglycoprotein receptor (ASGP-R) belongs to a wide family of C-type lectins and it is currently regarded as an attractive protein in the field of targeted drug delivery (TDD). It is abundantly expressed in hepatocytes and can be found predominantly on the sinusoidal surface especially of HepG2 cells. Therefore, ASGP-R can be used for the TDD of anticancer therapeutics against HCC and molecular diagnostic tools. To date, a variety of mono- and multivalent selective ASGP-R ligands have been discovered. Although many of these compounds have demonstrated a relatively high binding affinity towards the target, the reported synthetic schemes are not handled, complicated and include many non-trivial steps. In the current study, we describe a convenient and versatile synthetic approach to novel monovalent drug-conjugates containing N-acetyl-2-deoxy-2-aminogalactopyranose fragment as an ASGP-R-recognition “core-head” and well-known nonselective cytostatic – Doxorubicin (Dox). This is the first example of the direct conjugation of a drug molecule to the ASGP-targeted warhead by a really convenient manner via a simple linker sequence. The performed MTS-based biological evaluation in HepG2 cells revealed the novel conjugates as having anticancer activity. Confocal microscopy showed that the molecules readily penetrated HepG2 membrane and were mainly localized within the cytoplasm instead of the nucleus. Per contra, Dox under the same conditions demonstrated good anticancer activity and was predominantly concentrated in the nucleus. Therefore, we speculate that the amide “trigger” that we have used in this study for linker attachment is a sufficiently stable inside the cells to be enzymatically or spontaneously degraded. As a consequence, we did not observe the release of the drug. Ligands containing triggers that are more liable towards endogenous hydrolysis within the tissue of targeting are strongly required. 相似文献
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We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that less than 20% of known regulatory pairs exhibit strong correlations in the Cho/Spellman data sets. By analyzing known regulatory relationships, we designed an edge detection function which identified candidate regulations with greater fidelity than standard correlation methods. We develop general methods for integrated analysis of coarse time-series data sets. These include 1) methods for automated period detection in a predominately cycling data set and 2) phase detection between phase-shifted cyclic data sets. We show how to properly correct for the problem of comparing correlation coefficients between pairs of sequences of different lengths and small alphabets. Finally, we note that the correlation coefficient of sequences over alphabets of size two can exhibit very counterintuitive behavior when compared with the Hamming distance. 相似文献
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A resource for characterizing genome‐wide binding and putative target genes of transcription factors expressed during secondary growth and wood formation in Populus 下载免费PDF全文