|The Power Decoder simulator for the evaluation of pooled shRNA screen performance|
Jesse Stombaugh, Abel Licon, Žaklina Strezoska, Joshua Stahl, Sarah Bael Anderson, Michael Banos, Anja van Brabant Smith, Amanda Birmingham, Annaleen Vermeulen
Power Decoder (written in R and Python) simulates shRNA pooled screening experiments in silico to allow for the estimation of a screen’s statistical power. Populations of shRNAs were engineered in such a way that the magnitude of depletion and enrichment was known, then using the negative binomial distribution, an in silico model was developed to successfully resemble data from an actual laboratory experiment.
|Knockdown of long noncoding RNAs in breast cancer |
1 Jennii Luu, 2 Jesper Maag, 1 Yanny Handoko, 3 Richard Redvers, 3,4 Robin L. Anderson, 5 Maren M. Gross , 2 Marcel E. Dinger, and 1,3 Kaylene J. Simpson 1 Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre; 2 Genome Informatics, The Kinghorn Cancer Centre, The Garvan Institute of Medical Research; 3 Metastasis Research Laboratory, Peter MacCallum Cancer Centre, 4 Sir Peter MacCallum Department of Oncology, University of Melbourne;
RNAi global collaboration study using Lincode siRNA in a primary screen of tumor and nontumor breast cell lines. Hundreds of lncRNAs are found to affect viability and cell morphology of breast cancer. Presented at Keystone Symposia on Long Noncoding RNAs: From Evolution to Function, Mar 15 - Mar 20, 2015.
|DETERMINATION OF THE QUALITY OF ACTIVE INGREDIENTS IN PAIN KILLERS USING GC-MS|
Elizabeth N.M Murago1, Nathan Oyaro1, Anthony N. Gachanja, Onditi O. Anam, Felix M. Mawili, Steve Lancaster
From this study, the pain killers sampled were found to have large error bars suggesting that there exist counterfeit drugs in the market. The brands mostly affected for analysis of acetaminophen were panadol, action, P500, P5500, elymol and neladol. The error bars for caffeine analysis were quite low indicating that all tablets either counterfeit or original maintained the same amount of this active ingredient.
|DETERMINATION OF ESSENTIAL AND HEAVY METALS IN KENYAN HONEY BY ATOMIC ABSORPTION AND EMMISSION SPECTROSCOPY|
A. Mbiri, A. Onditi, N. Oyaro
Generally, honey samples recorded very low concentrations of As compared to the other heavy metals determined in this study. The highest concentration of As was recorded in honey sample from Nairobi with a value of 0.03±0.01 ppm. All the values recorded were within the KEBS permitted value of 0.5 ppm in food according to Kenya Bureaue of Standards, 1996.
|Prospecting For Iron and Titanium Using Termitaria|
Kinachu James. G, Kiptoo Jackson. K, Onditi Anam.O.
This study demonstrated elevated levels of the two metals (that is iron and titanium) in termitaria soil compared to the surrounding soils. Termitaria are very important bioturbators and can therefore be used as preliminary step in mineral prospecting since they provide an indication of the potential of the positive anomaly, and enables a judgment on the scale of the metal accumulation
|Improved Small RNA Library Preparation Workflow for Next-Generation Sequencing|
Sabrina Shore, Jordana Henderson, Anton McCaffrey, Gerald Zon, Richard Hogrefe
We describe an optimized small RNA NGS library prep workflow using chemically modified adapters which suppresses adapter dimers, allows for RNA inputs down to 1 ng and eliminates the need for a gel purification step, thus allowing full automation not previously possible.
|Combined Use of Rheometry and GPC/SEC for Characterising Ionic Polysaccharides|
John Duffy, Bernd Schaefer, Bert Postma
This poster shows how Rheometry and GPC can be complementary tools for characterising the behaviour of polysaccharides in solution
|Rate and Mechanistic Investigation of Eu(OTf)2-Mediated Reduction of Graphene Oxide at Room Temperature|
Tufan Ghosh, Sandeepan Maity and Edamana Prasad
Eu(OTf)2 has been introduced as an efficient reagent for the reduction of graphene oxide. Details kinetic studies have been performed which suggests that, the method is more efficient compared to that of other commonly used reduction methods.
|Electrical Fusion Machine - New electrical fusion system for x-ray fluorescence analysis|
Dr. Rainer Schramm, FLUXANA GmbH & Co. KG; Prof. Marie-Louise Klotz, Hochschule Rhein-Waal, Dr. Myint Myint Sein, Hochschule Rhein-Waal
This poster describes sample preparation in x-ray fluorescence analysis using the Electrical Fusion Machine by FLUXANA.