|miREC: A database of miRNAs involved in endometrial cancer|
Benjamin Ulfenborg, Sanja Jurcevic, Angelica Lindlöf, Karin Klinga-Levan, Björn Olsson
The miREC database integrates public data about miRNAs and their target genes involved in the development of EAC in human, collected from recent literature. In future versions the database will be complemented with information derived by analyzing our in-house data and new published data by other researchers. The miREC database is the first database that focuses on integrating all available information about genes and miRNAs involved in endometrial cancer.
|Visualizing the Dynamic Epigenome|
Lydia Steiner (1,2), Thimo Rohlf (2), Joerg Galle (2), Hans Binder (2), Lydia Hopp (2), Henry Wirth (2), Sonja Prohaska (1,2)
A method is presented to visualize genome-wide information from epigenetic data. It is capable to integrate additional information. Applied to mouse data consisting of H3K4, H3K27, and H3K9 trimethylation for 3 different celltypes, the dynamic behavior and interplay was investigated.
|Evaluation of bactericidal efficacy of sulfur nanoparticles (SNPs) against multidrug resistant isolates of Escherichia coli and Klebsiella pneumoniae|
Samrat Roy Choudhury*, Saheli Pradhan, Indrani Roy and Arunava Goswami
Bactericidal efficacy of engineered sulfur nanoparticles
|MicroRNA expression in normal and malignant prostate tissues|
In this study the aim was to identify a miRNA expression signature that could be used to separate between normal and malignant prostate tissues. Nine miRNAs were found to be differentially expressed and they could be used to separate between the normal and malignant tissues. A cross-validation procedure confirmed the generality of this expression signature, showing an accuracy of 85%.
|A Weight-of-Evidence Approach to Prioritisation based on Consensus across Multiple Sources of Information|
Roman Affentranger (1), Barry Hardy (1), Glenn Myatt (2), Nina Jeliazkova (3), Matthew Clark (4), Jeffrey Wiseman (4)
We present the results of initial work carried out within the OpenToxLink Virtual Organization, applying a Weight-of-Evidence (WoE) approach based on consensus across multiple sources of information for the prediction of adverse effects of a large set of potential antimalarial compounds. The work was carried out as part of the EU FP7 project SYNERGY, evaluating the support of decision dashboards and event-driven collaborative research of software developed within SYNERGY.
|Point-of-Care Diagnostics for Sexually Transmitted Infections|
Pascal Craw, Wamadeva Balachandran
This poster introduces the recently enlarged DoCLab research group at Brunel University, London. This large multidisciplinary group brings together electronic, mechanical and computer engineers with molecular biologists, biochemists and clinical collaborators to develop fully integrated, multiplex Point-Of-Care-Tests (POCT) for the self- diagnosis of infectious diseases.
|Quercetin Accumulation is Associated with Drought Resistance in White Clover|
Ballizany, W.L 1, Hofmann, R.W. 1, Jahufer, M.Z.Z. 2, Barrett, B.A. 2
White clover is an important pasture legume, but growth is often strongly reduced under summer drought. Abiotic stress is mediated by the induced production of flavonoids. At the individual genotype level, increased flavonol (quercetin) accumulation in response to water deficit stress is positively associated to retaining higher levels of dry matter production.
|Molecular dynamics of POPC and POPE lipid membrane bilayers enforced by an intercalated single-wall carbon nanotube|
Sergey Shityakov, Thomas Dandekar
In this study, we used high temperature molecular dynamics simulation (400 K), because it is known that critical fluctuations of lipid membranes can even occur at 313 K and especially above 343 K the interlamellar water layer thickness starts to increase non-linearly due to "hydration force". We implemented this method to emphasize POPC and POPE (palmitoyl-oleoyl-phosphatidylethanolamine) membrane bilayer stability enhanced with single-wall carbon nanotube.
|Three-dimensional quantitative structure-activity relationship analysis and ADME predictions of guanylhydrazone coactivator binding inhibitors of estrogen receptors|
Sergey Shityakov, Thomas Dandekar
The estrogen receptors (ER) refer to a group of the nuclear hormone receptor superfamily of ligand-mediated transcriptional factors. Over expression of this type of receptors leads to a breast cancer progression. Hormone-responsive breast cancer develops resistance to conventional anti-cancer therapy, and this becomes a major problem in a breast cancer therapy.