|A Unified Software Platform for Laboratory Informatics|
Graham A. McGibbon, Hans de Bie, David Hardy, Ryan Sasaki, Patrick Wheeler, Carol Preisig
Reported here are capabilities in automated workflows involving analytical data with chemical structures. Specifically described is automated homogenization of data from a set of instruments, including NMR structure verification, as one solution.
|Rapid electrochemical impedance spectroscopy for protein detection in Lab-on-a-Chip devices|
T. Pardy(a); N. Sleptsuk(a); M. Min(a); J. Ojarand(a); T. Lakspere(a,b); K. Palm(b)
We present results in rapid solution impedance spectroscopy to detect protein interactions (antibody-antigen) in human serum. Two different serum-antibody mixtures are measured in cuvettes, interfaced with screen-printed electrodes to determine whether the experimental setup can detect differences in composition.
|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.
|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.
|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.
|Design considerations for highly specific and efficient synthetic crRNA molecules|
Anja van Brabant Smith, Emily M. Anderson, Shawn McClelland, Elena Maksimova, Tyler Reed, Steve Lenger, Žaklina Strezoska, Hidevaldo Machado Dharmacon, part of GE Healthcare, 2650 Crescent Drive, Suite #100, Lafayette, CO 80026, US
An overview of our rational design algorithm for picking highly functional crRNA sequences in combination with comprehensive specificity analysis.
|Picking the best CRISPR-Cas9 targets for functional gene knockout: a machine learning algorithm based on both specificity and functionality|
Shawn McClelland, Emily M. Anderson, Žaklina Strezoska, Elena Maksimova, Annaleen Vermeulen, Steve Lenger, Tyler Reed, and Anja van Brabant Smith Dharmacon, now part of GE Healthcare, 2650 Crescent Drive, Suite #100, Lafayette, CO 80026, US
The CRISPR-Cas9 system has the potential to significantly advance basic and applied research.
|Scaffold design, function and over-expression of lentiviral-based microRNAs|
Angela Schoolmeesters, Melissa L. Kelley, Annaleen Vermeulen, Anja Smith, *Mayya Shveygert, *Xin Zhou, *Robert Blelloch Dharmacon, now part of GE Healthcare, 2650 Crescent Drive, Suite #100, Lafayette, CO 80026, USA
Here we describe the strategy for scaffold design, the importance of an optimal promoter, and demonstrate gene target down-regulation from the over-expression of lentiviral microRNA mimics.