IntelliXtract 2.0: Simplified Intelligent Component Extraction and Detection
Poster Mar 20, 2018
Anne Marie Smith, Richard Lee, Vitaly Lashin, Andrey Paramonov
The analysis of real-world samples is becoming increasingly complex and time-consuming. Scientists frequently use techniques, such as chromatography to aid in the separation of differing compounds and components. Liquid Chromatography-Mass Spectrometry (LC-MS) has been the primary platform for determination of differing components when chromatographic co-elution was inevitable.
Software can aid in simplifying the data-mining process and increase the speed of discovery. An earlier algorithm for component detection, named IntelliXtract (IX), implemented a method of extracted ion chromatograms (XICs) that were automatically generated and assigned a component number, thereby simplifying the analysis process, but was computationally demanding. Here we describe a simplified and more optimized algorithm based on the use of ion threads vs. XICs.
We developed an automated sample preparation protocol based on a robotic platform PAL RTC (CTC Analytics AG, Zwingen Switzerland), which represent a modified Bligh and Dyer method producing samples for both hydrophilic metabolomics using GC-MS and lipidomics using SFC-MS simultaneously.READ MORE
Plasmodium falciparum is evolving resistance to Artemisinin Combination Therapy. The gene with the strongest association with resistance is K13. K13 is an ortholog of the well characterized transcriptional regulator Keap1. In this work we transcriptionally characterized a mutant with a transposon inserted in the K13 promoter region which results in dysregulation of K13 at 2 points of the intraerythrocytic cycle of the life-cycle to identify the processes regulated by K13.READ MORE