Preliminary investigation of myo-inositol phosphates produced by ASUIA279 phytase on MCF-7 cancer cells.

Phytate or myo-inositol hexakisphosphates (IP6) is widely distributed in plants like rice brans. The production of myo-inositol phosphate intermediates has received much attention due to the remarkable potential health benefits offered by the compounds. In this study, the cytotoxicity of the partially purified myo-inositol phosphate fractions and commercial IP1 and IP6 were investigated against MCF-7 breast cancer cell lines. The study showed that the commercial standard IP1 and IP6 showed good inhibition towards the MCF-7 cell line. The MCF-7 cells growth was inhibited in minimum concentration of myo-inositol phosphates (<1000 µg/ml). However, no inhibition observed on the MCF-7 cell line by the myo-inositol phosphates fractions partially purified from rice bran at concentration <1000 ?g/ml. The inhibition of MCF-7 was only observed at concentration more than 30 mg/ml with more than 40% cells were inhibited. This indicates that the partially purified rice bran myo-inositol phosphates degraded by ASUIA279 phytase on MCF-7 breast cancer cells exhibit positive results towards the inhibition of cancer cells growth at relatively high concentration

Development of brain signal processing interface software for Trackit-LabVIEW

There are many digital electroencephalography (EEG) acquisition systems available nowadays for researchers due to the demand in the brain signal research. The electroencephalography (EEG) acquisition systems varied on the specification, design and prices. One of the ambulatory amplifiers for acquisition is the Trackit from Lifelines Limited. Presently, the Trackit system is only available for clinical applications. In order to integrate from clinical applications to research capabilities, the Trackit has to be interfaced with software that be able to do the electroencephalography (EEG) signals processing. In our project, Lab VIEW is chosen as our software platform. Therefore, we have taken the initiative to developed the software for Trackit-Lab VIEW interfaced. In this paper, we have demonstrated that the acquired electroencephalography (EEG) signals obtained using TrackitLab VIEW software. Example of signal processing application on the raw electroencephalography (EEG) signals was shown in the results section