|Advanced Microfluidic Mixing Device for the Study of Macromolecule Dynamics|
Shubha Jain, F. Azam, Dr. H. N. Unni
We have developed and characterized a micro-fluidic mixer to study the macro-molecule dynamics such as kinetics of protein folding, DNA sequencing, single molecule study and detection etc. on a micro-second timescale. Numerical simulation has been performed to analyse the study of mixing performance of micro-fluidics channel.
|Analysis of Terpenes Using Gas Chromatography with Vacuum Ultraviolet |
Changling Qiu, Jonathan Smuts, Phillip Walsh, and Kevin A. Schug
The VUV absorption spectra for different terpenes were distinctive and differentiable. GC-VUV demonstrated the capabilities for qualitative and quantitative analysis of terpenes in turpertine mixtures. Chromatographic coeluting signals can be deconvolved by the VUV data analysis software.
|Mobility of Aeroallergens in Home: Effect of Location of Air Sampling and Implication for Evaluation of Patient Exposure|
Julian Gordon1, Paul Detjen, Andrea Wachter & Prasanthi Gandhi1
The Inspirotec sampler permitted the easy testing of multiple locations within a household. Air sampling simultaneously at 12 locations by other technologies would have been technically challenging. These were run by an untrained operator.
|Assessing Diversity in Cassava through the Application of Metabolomics|
Margit Drapala, Elisabete Carvalhoa, Laura Perez-Fonsa, Elliott Pricea, L. Augusto Becerra Lopez-Lavalleb, Paul D. Frasera
In the present study metabolomic platforms have been established for Cassava and used to assess the biodiversity present in Cassava germplasm collections and elucidate underlying biochemical mechanisms associated with traits of interest.
|Addressing False Positive Variants Arising from Pseudogenes|
Risha Govind1,2, Sam Wilkinson1,3, Nicola Whiffin1,2, Shibu John1,2, Rachel J. Buchan1,2, Elizabeth Edwards1,2, Deborah J. Morris-Rosendahl1,3, James S. Ware1,2, P.J. Barton1,2, Stuart A. Cook1,2
Clinical genetic testing has been transformed in recent years by the introduction of Next-Generation Sequencing (NGS).
|Metabolic response to everolimus in patient-derived xenografts of triple negative breast cancer|
Leslie R. Euceda1, Deborah K. Hill1,2, Endre Stokke1, Elisabetta Marangoni3, Tone F. Bathen1, Siver A. Moestue1,2
Everolimus treatment metabolic effects on TNBC PDX models were investigated using MR spectroscopy. PLS-DA successfully discriminated treated from controls and PDX expressing INPP4B and not. LMM revealed significant differences in 4/17 metabolites and two metabolite ratios between treated and controls.
|The Challenges of Genetic Testing in Patients Diagnosed with Breast Cancer; The Kent Oncology Centre Experience|
Christos Mikropoulos1,2, Aaron Davies 1, Charlotte Abson1, Gill Sadler1, Gemma McCormick1, Questa Karlsson2, Julia Hall2
In this study we explore retrospective data to determine strategies for optimizing the genetic referral pathways for breast cancer.
|The Role of microRNAs in Memory Consolidation in Lymnaea|
György Kemenes1, Dimitris Vavoulis2, Sergei Korneev1
In this study we investigated the temporal dynamics of the post-training expression of miRNAs in the ‘learning ganglia’ of Lymnaea.
|Building a digital pathology ecosystem for education and research|
Yves Sucaet, Silke Smeets, Stijn Piessens, Sabrina D'Haese, Chris Groven, Wim Waelput, Peter In't Veld
We wanted to build a core digital pathology infrastructure to support different use cases. Various images platforms needed to be accessible through a single access point, and support different user profiles. We wanted a scalable solution that would allow interaction between equipment from different research groups.
We built a centralized infrastructure that integrates a variety of imaging platforms, and now have an interconnected network of heterogeneous and scalable information silos.