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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.

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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.

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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.

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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.

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An examination of specific cellular organelle-targeting nanotags using combined 3D Raman and SERS imaging
Katherine Lau, Sarah McAughtrie, Karen Faulds, Duncan Graham

We investigated the specific targeting of endoplasmic reticulum and trans-Golgi network in Chinese hamster ovarian cells using functionalised nanotags. The targeting was examined using the combined 3D SERS and Raman imaging method.

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SOFT DEVICES FOR HEALTHCARE MONITORING APPLICATIONS
Laura López, Carlos Carenas, Carme de Haro, Cristina Casellas, Elisenda Reixach, Marta Cot, Rosa Rodriguez, Paul Lacharmoise, Úrbez Santana

Printed Electronics allow the creation of new and innovative functionalized textile products, in the demanding and highly specialized world of Medical Devices. The main aim of this whole new sector is to produce wearable, conformable, flexible and low-cost textile-based devices bringing innovative solutions to different markets.

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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.

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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.

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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.

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Scientific News
Cancer Cells Kill Off Healthy Neighbours
Cancer cells create space to grow by killing off surrounding healthy cells, according to UK researchers working with fruit flies.
Cancer Drug Target Visualized at Atomic Resolution
New study using cryo-electron microscopy shows how potential drugs could inhibit cancer.
Genetic Mechanism Behind Cancer-Causing Mutations
Researchers at Indiana University has identified a genetic mechanism that is likely to drive mutations that can lead to cancer.
Future of Medicine Could be Found in a Tiny Crystal Ball
A Drexel University materials scientist has discovered a way to grow a crystal ball in a lab. Not the kind that soothsayers use to predict the future, but a microscopic version that could be used to encapsulate medication in a way that would allow it to deliver its curative payload more effectively inside the body.
"Gene Fusion" Drives Childhood Brain Cancers
Study co-led by Penn scientists highlights potential targets for future cancer therapies.
Enzyme Links Age-Related Inflammation, Cancer
Researchers have shown that an enzyme key to regulating gene expression -- and also an oncogene when mutated -- is critical for the expression of numerous inflammatory compounds that have been implicated in age-related increases in cancer and tissue degeneration.
Viral Gene Editing System Corrects Genetic Liver Disease
Penn study has implications for developing safe therapies for an array of rare diseases via new gene cut-and-paste methods.
Improving Delivery of Poorly Soluble Drugs Using Nanoparticles
A technology that could forever change the delivery of drugs is undergoing evaluation by the Technology Evaluation Consortium™ (TEC). Developed by researchers at Northeastern University, the technology is capable of creating nanoparticle structures that could deliver drugs into the bloodstream orally – despite the fact that they are normally poorly soluble.
Curing Disease by Repairing Faulty Genes
New delivery method boosts efficiency of CRISPR genome-editing system.
'Junk' DNA Plays Role in Preventing Breast Cancer
Supposed "junk" DNA, found in between genes, plays a role in suppressing cancer, according to new research by Universities of Bath and Cambridge.
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