scholarly journals MERIT: Systematic Analysis and Characterization of Mutational Effect on RNA Interactome Topology

Hepatology ◽  
2019 ◽  
Vol 70 (2) ◽  
pp. 532-546 ◽  
Author(s):  
Yongsheng Li ◽  
Daniel J. McGrail ◽  
Juan Xu ◽  
Junyi Li ◽  
Ning‐Ning Liu ◽  
...  
Keyword(s):  
Systematic Analysis ◽  
Mutational Effect

scholarly journals Hot Deformation Treatment of Grain-Modified Mg–Li Alloy

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4557
Author(s):  
Mariusz Król ◽  
Przemysław Snopiński ◽  
Marek Pagáč ◽  
Jiří Hajnyš ◽  
Jana Petrů
Keyword(s):  
Hot Deformation ◽  
Cast Alloy ◽  
Material Model ◽  
Strain Rate Range ◽  
Al Alloy ◽  
Grain Refiner ◽  
Systematic Analysis ◽  
Dynamic Material Model ◽  
Instability Map

In this work, a systematic analysis of the hot deformation mechanism and a microstructure characterization of an as-cast single α-phase Mg–4.5 Li–1.5 Al alloy modified with 0.2% TiB addition, as a grain refiner, is presented. The optimized constitutive model and hot working terms of the Mg–Li alloy were also determined. The hot compression procedure of the Mg–4.5 Li–1.5 Al + 0.2 TiB alloy was performed using a DIL 805 A/D dilatometer at deformation temperatures from 250 °C to 400 °C and with strain rates of 0.01–1 s−1. The processing map adapted from a dynamic material model (DMM) of the as-cast alloy was developed through the superposition of the established instability map and power dissipation map. By considering the processing maps and microstructure characteristics, the processing window for the Mg–Li alloy were determined to be at the deformation temperature of 590 K–670 K and with a strain rate range of 0.01–0.02 s−1.

scholarly journals Characterization of the Soybean GmIREG Family Genes and the Function of GmIREG3 in Conferring Tolerance to Aluminum Stress

2020 ◽  
Vol 21 (2) ◽  
pp. 497
Author(s):  
Zhandong Cai ◽  
Peiqi Xian ◽  
Rongbin Lin ◽  
Yanbo Cheng ◽  
Tengxiang Lian ◽  
...  
Keyword(s):  
Transgenic Arabidopsis ◽  
Relative Elongation ◽  
Expression Patterns ◽  
Tissue Expression ◽  
Metal Stress ◽  
Aluminum Stress ◽  
Systematic Analysis ◽  
Aluminum Resistance ◽  
Encoding Genes

The IREG (IRON REGULATED/ferroportin) family of genes plays vital roles in regulating the homeostasis of iron and conferring metal stress. This study aims to identify soybean IREG family genes and characterize the function of GmIREG3 in conferring tolerance to aluminum stress. Bioinformatics and expression analyses were conducted to identify six soybean IREG family genes. One GmIREG, whose expression was significantly enhanced by aluminum stress, GmIREG3, was studied in more detail to determine its possible role in conferring tolerance to such stress. In total, six potential IREG-encoding genes with the domain of Ferroportin1 (PF06963) were characterized in the soybean genome. Analysis of the GmIREG3 root tissue expression patterns, subcellular localizations, and root relative elongation and aluminum content of transgenic Arabidopsis overexpressing GmIREG3 demonstrated that GmIREG3 is a tonoplast localization protein that increases transgenic Arabidopsis aluminum resistance but does not alter tolerance to Co and Ni. The systematic analysis of the GmIREG gene family reported herein provides valuable information for further studies on the biological roles of GmIREGs in conferring tolerance to metal stress. GmIREG3 contributes to aluminum resistance and plays a role similar to that of FeIREG3. The functions of other GmIREG genes need to be further clarified in terms of whether they confer tolerance to metal stress or other biological functions.

scholarly journals Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing

2012 ◽  
Vol 10 (1) ◽  
pp. 173 ◽  
Author(s):  
Michel P Bihl ◽  
Anja Foerster ◽  
Alessandro Lugli ◽  
Inti Zlobec
Keyword(s):  
Colorectal Cancer ◽  
Systematic Analysis

scholarly journals Systematic analysis of Ca2+homeostasis inSaccharomyces cerevisiaebased on chemical-genetic interaction profiles

2017 ◽  
Vol 28 (23) ◽  
pp. 3415-3427 ◽  
Author(s):  
Farzan Ghanegolmohammadi ◽  
Mitsunori Yoshida ◽  
Shinsuke Ohnuki ◽  
Yuko Sukegawa ◽  
Hiroki Okada ◽  
...  
Keyword(s):  
Genetic Interaction ◽  
Principal Component ◽  
Analysis Of Covariance ◽  
High Dimensional ◽  
High Concentration ◽  
Systematic Analysis ◽  
Chemical Genetic ◽  
Cellular Processes ◽  
Cellular Compartments

We investigated the global landscape of Ca2+homeostasis in budding yeast based on high-dimensional chemical-genetic interaction profiles. The morphological responses of 62 Ca2+-sensitive (cls) mutants were quantitatively analyzed with the image processing program CalMorph after exposure to a high concentration of Ca2+. After a generalized linear model was applied, an analysis of covariance model was used to detect significant Ca2+–cls interactions. We found that high-dimensional, morphological Ca2+–cls interactions were mixed with positive (86%) and negative (14%) chemical-genetic interactions, whereas one-dimensional fitness Ca2+–cls interactions were all negative in principle. Clustering analysis with the interaction profiles revealed nine distinct gene groups, six of which were functionally associated. In addition, characterization of Ca2+–cls interactions revealed that morphology-based negative interactions are unique signatures of sensitized cellular processes and pathways. Principal component analysis was used to discriminate between suppression and enhancement of the Ca2+-sensitive phenotypes triggered by inactivation of calcineurin, a Ca2+-dependent phosphatase. Finally, similarity of the interaction profiles was used to reveal a connected network among the Ca2+homeostasis units acting in different cellular compartments. Our analyses of high-dimensional chemical-genetic interaction profiles provide novel insights into the intracellular network of yeast Ca2+homeostasis.

Characterization of polymeric nanofiltration membranes for systematic analysis of membrane performance

2006 ◽  
Vol 278 (1-2) ◽  
pp. 418-427 ◽  
Author(s):  
K. Boussu ◽  
Y. Zhang ◽  
J. Cocquyt ◽  
P. Van der Meeren ◽  
A. Volodin ◽  
...  
Keyword(s):  
Nanofiltration Membranes ◽  
Systematic Analysis ◽  
Membrane Performance

Systematic Experimental Analysis of a Direct Methanol Fuel Cell

2006 ◽  
Vol 4 (4) ◽  
pp. 418-424 ◽  
Author(s):  
A. Casalegno ◽  
R. Marchesi ◽  
F. Rinaldi
Keyword(s):  
Fuel Cell ◽  
Direct Methanol Fuel Cell ◽  
Operating Conditions ◽  
Experimental Results ◽  
Cell Temperature ◽  
Systematic Analysis ◽  
Operating Condition ◽  
Direct Methanol ◽  
Methanol Fuel Cell

Different studies are carried out to compare the performances of different fuel cell constructive materials and operating conditions. In this work, a methodology for the characterization of DMFC experimental results in term of uncertainty and repeatability and for a systematic analysis of operating condition influence on performance is presented. The measurement system (composed of calibrated instruments) and experimental and data elaboration procedures are described. Experimental results, characterized by uncertainty and repeatability, are discussed for different operating conditions: fuel cell temperature, anode flow rate, and methanol concentration. The influence of operating condition history on performance is observed. It arises also from accumulation, both of methanol and carbon dioxide at the anode side; consequently, the operating condition history has to be considered in evaluating direct methanol fuel cell (DMFC) performances and repeatability of measurements. This work confirms that to compare experimental performances of fuel cells, the measurements shall be characterized by traceability, repeatability, reproducibility, and uncertainty.

scholarly journals Bioinformatics Analysis of Targeted Metabolomics—Uncovering Old and New Tales of Diabetic Mice under Medication

Endocrinology ◽  
2008 ◽  
Vol 149 (7) ◽  
pp. 3478-3489 ◽  
Author(s):  
Elisabeth Altmaier ◽  
Steven L. Ramsay ◽  
Armin Graber ◽  
Hans-Werner Mewes ◽  
Klaus M. Weinberger ◽  
...  
Keyword(s):  
Drug Testing ◽  
Diabetic Mice ◽  
Quantitative Characterization ◽  
Data Set ◽  
Systematic Analysis ◽  
Large Sets ◽  
Medical Disorders ◽  
Rosiglitazone Treatment ◽  
Target Effects

Metabolomics is a powerful tool for identifying both known and new disease-related perturbations in metabolic pathways. In preclinical drug testing, it has a high potential for early identification of drug off-target effects. Recent advances in high-precision high-throughput mass spectrometry have brought the metabolomic field to a point where quantitative, targeted, metabolomic measurements with ready-to-use kits allow for the automated in-house screening for hundreds of different metabolites in large sets of biological samples. Today, the field of metabolomics is, arguably, at a point where transcriptomics was about 5 yr ago. This being so, the field has a strong need for adapted bioinformatics tools and methods. In this paper we describe a systematic analysis of a targeted quantitative characterization of more than 800 metabolites in blood plasma samples from healthy and diabetic mice under rosiglitazone treatment. We show that known and new metabolic phenotypes of diabetes and medication can be recovered in a statistically objective manner. We find that concentrations of methylglutaryl carnitine are oppositely impacted by rosiglitazone treatment of both healthy and diabetic mice. Analyzing ratios between metabolite concentrations dramatically reduces the noise in the data set, allowing for the discovery of new potential biomarkers of diabetes, such as the N-hydroxyacyloylsphingosyl-phosphocholines SM(OH)28:0 and SM(OH)26:0. Using a hierarchical clustering technique on partial η2 values, we identify functionally related groups of metabolites, indicating a diabetes-related shift from lysophosphatidylcholine to phosphatidylcholine levels. The bioinformatics data analysis approach introduced here can be readily generalized to other drug testing scenarios and other medical disorders.

Monumentalizing landscape: From present perception to the past meaning of Galician megalithism (north-west Iberian Peninsula)

2000 ◽  
Vol 3 (2) ◽  
pp. 188-216 ◽  
Author(s):  
Felipe Criado Boado ◽  
Victoria Villoch Vázquez
Keyword(s):  
Social Space ◽  
Cultural Landscapes ◽  
Research Programme ◽  
Visual Features ◽  
Systematic Analysis ◽  
North West ◽  
The Past ◽  
Neolithic Europe

The study of landscape as social construction implies considering its economic and territorial dimensions, as much as its symbolic ones. A major topic in such kinds of studies is the reconstruction of the ways in which natural and social space was perceived by past societies. We ought to approach the project of building an archaeology of perception. One of the aims of such a research programme would be the evaluation of the effects of natural and artificial landscape features on past human observers. This paper will argue that a possible strategy for studying these dimensions of past landscapes could be based on the systematic analysis of the visual features of prehistoric monuments and in the characterization of the scenic effects and vistas related to them. A detailed analysis of the pattern of location of megalithic monuments and of their visibility and intervisibility allows us to recognize certain regularities which display an intention to take account of monuments by provoking dramatic artificial effects. In such a way, we could approach a phenomenology of prehistoric perception without falling into merely subjective solutions. This study is based on a systematic review of the megalithic monuments from Sierra de Barbanza (north-west Iberia). Its main aims are: (1) the proposal for a theoretical and methodological study of these phenomena, combined with; (2) a case-study to reconstruct those monumental strategies used to shape cultural landscapes in Neolithic Europe, and; (3) the explanation of continuities and changes of these traditions.

Systematic Characterization of DRIE-Based Fabrication Process of Silicon Microneedles

2007 ◽  
Vol 1052 ◽  
Author(s):  
Jochen Held ◽  
Joao Gaspar ◽  
Patrick Ruther ◽  
Matthias Hagner ◽  
Andreas Cismak ◽  
...  
Keyword(s):  
Cross Sections ◽  
Focused Ion Beam ◽  
Process Analysis ◽  
Ion Beam ◽  
Scanning Electron Micrographs ◽  
Systematic Analysis ◽  
Deep Reactive Ion Etching ◽  
Etching Parameters ◽  
Anisotropic Etch

AbstractThis paper reports on the systematic characterization of a deep reactive ion etching based process for the fabrication of silicon microneedles. The possibility of using such microneedles as protruding microelectrodes enabling to electroporate adherently growing cells and to record intracellular potentials motivated the systematic analysis of the influence of etching parameters on the needle shape. The microneedles are fabricated using dry etching of silicon performed in three steps. A first isotropic step defines the tip of the needle. Next, an anisotropic etch increases the height of the needle. Finally, an isotropic etch step thins the microneedles and sharpens their tip. In total, 13 process parameters characterizing this etching sequence are varied systematically. Microneedles with diameters in the sub-micron range and heights below 10 µm are obtained. The resulting geometry of the fabricated microneedles is extracted from scanning electron micrographs of focused ion beam cross sections. The process analysis is based on design-of-experiment methods to find the dominant etch parameters. The dependence of the needle profiles on process settings are presented and interpolation procedures of the geometry with processing conditions are proposed and discussed.

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