|Molecular Abnormalities in Schizophrenia: Neurotransmission, Oxidative Stress, and Apoptosis|
Elizabeth J. Want,1 Hendrik Wesseling, 2 Elaine Holmes, 1 and Sabine Bahn 2
A multi-platform approach was employed to analyse distinct brain regions implicated in schizophrenia.
|Accurate Mass Spectral Database: Harnessing the Power of High Performance Mass Spectrometry at Long Last|
Lorne Fell, Viatcheslav Artaev, Kevin McNitt, Steve Robles, Albert Lebedev
Standard mixtures comprising of alkanes, PAHs, semivolatiles, and pesticides were analyzed using a high resolution time-of-flight (HRTOF) mass spectrometer—Pegasus GC-HRT (LECO Corporation, Saint Joseph,MI)—at 10 spectra-per-second (m/z40–300) in high resolution mode (25,000 at FWHH). The resulting chromatographic peaks were automatically found, deconvoluted, and curated into an Accurate Mass Library (AML).
|Automated Sample Preparation of Whole Blood for Therapeutic Drug Monitoring and Diagnostics by LC-MS using a Commercial Autosampler|
Christian Berchtold1, Irene Wegner1,Timm Hettich1, Reto Bolliger2, Guenter Boehm2, Goetz Schlotterbeck1
In this poster the parameters necessary to automatically prepare whole blood samples for online LC-MS applications in the field of diagnostics and TDM have been investigated. A strategy and the most important parameters are shown for the optimization of a PAL RTC autosampler
for the preparation of whole blood samples.
|Development and Application of Quantitative Immunoassays for Major Milk Allergens Bos d 5 (β-lactoglobulin) and Bos d 11 (β-casein)|
1Ross A. R. Yarham, 1Anna Kuklinska-Pijanka MSc, 1David Gillick, 1Elizabeth Young, 2Karine Adel Patient PhD, 2Hervé Bernard PhD, 1Martin D. Chapman PhD, 1James P. Hindley PhD
In this study, we sought to develop accurate, sensitive and reliable assays that would enable quantification of multiple milk allergens.
|Diagnosing Coral disease with Metabolomic Markers|
Application of untargeted metabolomics for the identification of disease markers in corals
|Quantitative Cell-Based Bioassays for Individual and Combination Immune Checkpoint Immunotherapy Targets|
Zhi-jie Jey Cheng, Jamison Grailer, Pete Stecha, Jun Wang, Jim Hartnett, Frank Fan, and Mei Cong
Immune checkpoint receptors are promising new immunotherapy
targets for the treatment of a variety of diseases including cancer and
autoimmune-mediated disorders. We developed a suite of cell-based
bioluminescent reporter bioassays for individual and combination
immune checkpoint immunotherapy targets including: PD-1 (PD-L1 or PD-L2), CTLA-4, LAG-3, TIGIT, PD-1+TIGIT, GITR, 4-1BB, CD40, and OX40.
|A Novel Set of Serum-Free, Xeno-Free Differentiation Media for Adipogenesis, Osteogenesis and Chondrogenesis of Human Mesenchymal Stem Cells from Various Tissue Sources|
Mira Genser-Nir, Sharon Daniliuc, Marina Tevrovsky, Roni Hazan Brill, Yuliya-Yael Miropolski, David Fiorentini.
An overview of a novel SF, XF differentiation system which enables achieving defined conditions for rapid generation of differentiated hMSCs towards tissue engineering and drug screening applications
|A Synthetic CRISPR-Cas9 System for Homology-directed Repair|
John A. Schiel, Maren M. Gross, Emily M. Anderson*, Eldon T. Chou, Anja van Brabant Smith Dharmacon, part of GE Healthcare, 2650 Crescent Drive, Lafayette, CO 80026, USA
Synthetic, dual-RNA-encoded Cas9 is used for precise homology-directed repair (HDR) gene engineering. Both short and long (GFP) inserts are covered.
|CRISPR-Cas9 genome editing utilizing chemically synthesized RNA|
Kaizhang He, Eldon Chou, Amanda Haas, Žaklina Strezoska, Melissa L. Kelley, and Anja van Brabant Smith Dharmacon, part of GE Healthcare, 2650 Crescent Drive, Lafayette, CO 80026, USA
CRISPR-Cas9 gene editing using synthetic crRNA:tracrRNA or sgRNA is highly efficient and easy to use. Synthetic crRNA:tracrRNA is uniquely suited to in vitro and in vivo applications, in particular, DNA-free approach with Cas9 mRNA. Chemical synthesis of guide RNAs allows accurate and rapid production of arrayed crRNA libraries for high-confidence, loss-of-function screens.
|Deep Phenotyping - Harnessing Data Richness for Unsupervised High-Content Analysis|
Huang Dong, Wang Yi, Maciej Hermanowicz, Ke Yiping, Maja Choma, Lee Kee Khoon, Frederic Bard
Recognising the key challenges, we develop an end-to-end computational framework for HCA dubbed “Deep Phenotyping” that perform unsupervised analysis to leverage on the data richness for the discovery of unknown sub-phenotypes with minimal labeling cost.
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