|Innovative technology that enables RNAi in difficult to transfect cells|
Christina Yamada, Kathryn Robinson, Allison St. Amand, Zaklina Strezoska, Greg Wardle, Anastasia Khvorova, Devin Leake
Investigations at Dharmacon have led to the development of innovative siRNA molecules that can be delivered into difficult-to-transfect cells without additional lipid reagents, virus, or instruments. This technology, Accell siRNA reagents, enables gene knockdown for functional genomic studies in a wide variety of cell types. In some instances, cells can be continuously dosed with Accell siRNAs to enable target gene knockdown for extended durations.
|THe AtSCL26 transcription factor controls cross-talk between GA and N root architecture in Arabidopsis thaliana roots|
Beatriz Lagunas, Anthony D. Carter, Dafyd Jenkins and Miriam Gifford
Phenotypic and molecular evidence supports the hypothesis that developmental program enabling nodule formation arose during evolution from a lateral root ‘blueprint’ pre-existing in all higher plants . We reasoned that analyzing Arabidopsis genes orthologous to regulators of nodulation could shed insight on control of lateral root development. This led us to the discovery that an Arabidopsis GRAS family transcription factor controls lateral root development under specific nitrogen conditions.
|LOHA Comprehensive Assay for Single Nucleotide Polymorphism, Copy Number Variants and Loss of Heterozygosity Using SureSelect Target Enrichment|
Kyeong Soo Jeong, Arjun Vadapalli, Ashutosh Ashutosh, Paula Costa, Brian Peter, Stephanie Fulmer-Smentek, Magnus Isaksson, Jayati Ghosh, Douglas Roberts, Holly Hogrefe
Here we describe a comprehensive assay that enables researchers to identify SNP, INDEL, CNV, and LOH using SureSelect target enrichment. This design can be employed as a standalone entity or in concert with other bait designs for SNP and INDEL detection. We also describe methods for data analysis and visualization.
|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.
|Building a Diverse and Experimentally-Curated Fragment Library|
Andrew Lowerson, Steven LaPlante, Patrick McCarren, and Michael Serrano-Wu
Presenting a new fragment collection with experimentally-determined aqueous solubility that will address a major source of false positives and attrition in fragment screening
|Polymer Microarrays for Biomaterial Development|
Simmonte, M.J.1, Dhaliwal, K.2, Cuschieri, K.3, Graham, S.V.4, Bradley, M.1
The application of polymer microarrays in the discovery of biocompatible and bioactive substrates. Progress towards biomaterial development for the treatment of SIRS (systemic inflammatory response syndrome), and improving cervical cytology.
|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.
|Human iPSC-derived hepatocytes and cardiomyocytes for drug toxicity testing|
AnnandRR; Vardaro R; Hamilton B; Akakira R; Tamura K; Yoshida S; Lin YC; Toyoda D; Kogami H; Okuda Y; Watanabe T; Inamura M
Human iPS-derived hepatocytes (ReproHepato™) and cardiomyocytes (ReproCardio 2™) are useful for in vitro toxicity assays.