|Insulin Decreases Transcription of Three Proteins Associated with Lung Surfactant|
Rucka, Z [a], Vanhara, P [b], Tesarova, L [a], Potesilova, M [a], Stejskal, S [a], Dolezel, J [c], Koutna, I [a]
Our project is partially focused on insulin affecting four proteins associated with lung surfactant. Small and hydrophobic SP-B and S-PC help to spread and stabilize the surfactant layer while large and hydrophilic SP-A and SP-D participate in immune responses. A549 and H441 cell lines were used. It was observed using RealTime PCR that higher doses of insulin lead to decreased transcription of SP-B, SP-C, SP-D, and both isoforms of SP-A.
|Tapping into the mechanical links of expansins in leaf morphogenesis|
Expansins are conserved family of non-enzymatic proteins involved in cell wall-loosening accounted for widespread role in plant development. My research focuses on functional analysis of expansins during leaf morphogenesis. Atomic force microscopy was applied to characterise cell wall mechanical properties in an attempt for in vivo quantification of expansin activity. It’s showed how that there is a distinct difference in cell wall extensibility between leaf abaxial and adaxial side.
|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.
|Evaluation of a Novel Approach for the Measurement of RNA Quality|
Timothy Wilkes; Alison Devonshire; Carole Foy
The potential medical applications of microarrays have generated much interest, within the biomedical community. Numerous potential sources of variation have raised concerns regarding assay consistency and data quality. Previous studies have highlighted RNA integrity as having a major effect on data quality. We describe here a comparison of the performance characteristics of the Agilent (Bioanalyser) and Lab901 (Screen Tape System) platforms, and their capacity to determine sample RNA integrity.
|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.
|Differential metabolic response of tomato hybrids to herbivory|
Raghava T, Puja Ravikumar, Rajendra Hegde, Anil Kush
In this study we have documented the HIPVs produced by different plant organs in three agronomically important Lycopersicon esculentem (tomato) cultivars in the event of herbivory. The nocturnal and diurnal feeding of third instar Spodoptera littura larvae induces characteristic VOCs mainly terpenes, in all the three hybrids viz., All Rounder, Shaktiman and Lakshmi.
|Design and Fabrication of a Micro PCR Module for POC Applications|
E. Morganti, C. Collini, C. Ress, A. Adami, L. Lorenzelli
The design and fabrication process of a micro PCR module is presented. The final system will be integrated in an innovative Lab on a Chip (LOC) to provide a technological platform able to detect autoimmune genetic diseases.
|A Web Interface for Automatic Microarray Analysis|
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor
DNA-Microarray technology provides a diagnostic tool for studying cancer and genetic diseases, allowing the experimenter to identify disease related genes and predict the tumour type for new cell samples. However, the statistical analysis of microarray data is a time-consuming and error-prone process. To address this problem we have developed a web interface for automatic DNA-microarray analysis, ArrayMining.net, which guides the user through the analysis process and performs automatic parameter
|A modular and stochastic approach to the study of gene circuits using P systems|
Romero-Campero FJ, Blakes J, Cao H, Camara M, Krasnogor N.
presented at Genomes to Systems Manchester, UK March 17-19 2008