|A compartmented in silico model of Rapeseed central metabolism|
Eleftherios Pilalis, Aristotelis Chatziioannou, Fragiskos Kolisis
A large-scale in silico model was constructed for the simulation of the central metabolism of Rapeseed embryos. In order to validate this model, we performed constraint-based Flux Balance Analysis, through application of linear optimization methods. Further exploiting the derived model, an in silico gene deletion analysis and a systemic regulatory analysis by Singular Value Decomposition of the steady-state flux space were performed.
|SYBR® Green I as a biomarker for schizophrenia|
Davood Zaeifi, Mehdi Rahmati, Vahab Piranfar
The purpose of this study were to examine if the mRNA of the peripheral dopamine receptor is changed in schizophrenia patients. 50 Naive patients were enrolled. After extracting RNA from white blood cells, cDNA is synthesized. After doing the quantitative Real-time PCR, expression of D3 receptors in healthy persons and patients were compared. Results of this examinations reveals that expression of D3 receptor is increased in compared with controls sample.
|Microfluidic PCR device for diagnostic pathogen detection|
Johannes R. Peham, Hannes Steiner, Walter Grienauer, Rudolf Heer, Michael J. Vellekoop, Christa Nöhammer, Herbert Wiesinger
In this work a microfluidic cyclic flow PCR device is presented, which is capable of replicating the bacterial genomic DNA sequence of the 16S ribosomal RNA. The standard laboratory processing time of 3 h could be decreased to 60 min with the microfluidic reactor without loosing PCR efficiency. Integrating an optical fluorescence detector for dsDNA measurement would evolve this device into a micro total analysis system.
|Knowledge of personal energy requirements in college students|
Aurora Buffington, MS, RD, Richard Tandy, PhD, and Laura Kruskall, PhD, RD, CSSD, FACSM
This study explored whether university students were able to estimate their energy requirements within a range of calories equal to predicted Estimated Energy Requirements (EER) two standard deviations. Students significantly underestimated their EER by 700 calories (p<.001). Fewer males than expected were able to estimate energy requirements as compared to females, 41.3% vs. 20.6%, ?2 (1) = 7.236, p=.007.
|No Impact of Dietary Iodine Restriction in Short Term Development of Hypothyroidism Following Fixed Dose Radioactive Iodine Therapy for Graves Disease|
Jubbin J Jacob*, Charles Stephen§, Nihal Thomas*, Regi Oommen¶ and M.S.Seshadri*
To study the outcomes at 6 months after fixed dose 131I therapy for Graves’ disease (GD) with an iodine restricted diet.
|Nutritionally-induced differences in the metabolic profiles of Chlamydomonas reinhardtii and Saccharomyces cerevisae determined by 1H-NMR and cross model validation and permutation testing|
Hank D. Bestman & Jordyn B. Brandsma
Using cross validation, permutation and rank products statistical procedures we identified biomarker regions in proton spectra of polar metabolites extracted from the algae Chlamydomonas reinhardtii (light and dark grown) and from the yeast Saccharomyces cerevisae (aerobically and anaerobically grown).
|Adaptive control of glycerol & methanol feeding in recombinant Pichia pastoris cultures: Impact on antibody titre|
Filipe Ataíde, Ana Raquel Ferreira, João J. Clemente, António E. Cunha, Rui Oliveira
Pichia pastoris processes for heterolougous protein expression are typically run in three phases: a batch phase, an exponential feeding fed-batch phase and a long oxygen transfer limitation (OTL) phase. The final protein titre is often limited by the oxygen availability in the OTL phase. Here a direct adaptive controller is designed for the OTL phase. The controller was validated in pilot P. pastoris cultivations expressing a single chain antibody fragment (ScFv). This work shows that the propos
|Genetic Algorithms Successfully Select Potential Biomarkers in Mass Spectrometry-Based Metabolomics|
Wei Zou, Vladimir Tolstikov
Combination of the comprehensive metabolic profiling utilizing three complementary analytical methods for MS data acquisition and Genetic Algorithms technique for feature selection presenting intriguing avenue for finding and exploration small subsets of strong classifiers.
|Bio-analytic silicon chips for the detection of developmentalneurotoxic effects of chemicals and drugs in the context of the European REACH program|
S. Buehler , Helene Altrichter , P. J. Koester , C. Tautorat , Ralf Ehret ,Werner Baumann , Jan Gimsa
Bio-analytic silicon chips can be used to investigate stem cell differentiation into neurons and for the in vitro on-line monitoring of cellular reactions under well controlled experimental conditions. Chip systems allow for a parallel, label-free and non-invasive measurement of different parameters by CMOS silicon microsensors by the application of potential neurotoxic and developmental neurotoxic substances.
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