Integrin-linked kinase overexpression promotes epithelial-mesenchymal transition via nuclear factor-κB signaling in colorectal cancer cells.

Aim: To investigate the effect of integrin-linked kinase (ILK) on proliferation, metastasis, and invasion of the colorectal cancer cell line SW480.

Methods: In this study, the colorectal cancer cell line SW480 was stably transfected with ILK plasmids, and small interfering RNA (siRNA) was used to knockdown expression of nuclear factor (NF)-κB/p65. Methylthiazole tetrazolium (MTT) assay was performed to measure proliferation, and the wound healing migration assay and matrigel invasion assay were used to test the metastasis and invasion ability of SW480 cells.

[Research on the correlation chart of near infrared spectra by using multiple scatter correction technique].

Correlation spectroscopy can be used to describe the linear correlationship between the absorbance and concentration data in the whole spectra range and clearly figure out the characteristic peak position of the sample under test. Meantime, this chart plays an extremely important role in offering the precise information for choosing the optimal wavelength set during the calibration process. Multiple scatter correct (MSC) spectroscopy is a kind of multiple variable scatter correction technique, and can effectively remove the base shift and tilt phenomenon caused by MSC.

[Analysis of saponin in Chinese ginsengs by NIR spectroscopy].

In the present paper the saponin in Chinese ginseng was analysed quantitatively by using near infrared spectroscopy. The spectral characteristics of the primary ingredients in Chinese ginseng were obtained by applying second derivative, MSC (Multiple Scatter Correction), and correlation chart to the original absorbance spectra of ginseng. Meantime, in combination with the PLS algorithm the calibration process was performed for the quantitative analysis of saponin in Chinese ginseng.

[Research on the method of choosing optimum wavelengths combination by using multiple scattering correction technique].

Multiple scattering correction(MSC) algorithm can be used effectively to remove the effect of scattering due to the physical factors such as the density and humidity of sample granule, and as a result the ratio of signal to noise is improved greatly. Meantime correlation spectrum plays a important role in the choice of optimum wavelength set because it describes the linear correlationship between the absorbance and concentration of the sample's ingredient under analysis. However, the correlation spectrum obtained by unitary linear regression(ULR) at single wavelength channel can be easily affected by the scattering so as to cover up the characteristic linear information of the sample.

[Near infrared determination of the total sugar in Chinese ginsengs].

In the present paper the analysis of the total content of sugar in Chinese ginseng was carried out by using near infrared spectroscopy, and in combination with the PLS algorithm the calibration analysis was performed at the same time. The result shows that the precision obtained through common chemical methods is almost the same as the one through NIR spectroscopy. The SEC (standard error of calibration) is 1.

[The algorithm of eliminating the similar samples in the process of calibration and prediction].

During the manufacture and debugging of the NIR instruments it is compulsory to make final calibration analysis to verify whether the instruments operate correctly. However, the conventional method of NIR calibration needs to make calibration analysis for the instruments with all the samples at hand. In fact in order to cover the samples that will be encountered in the future the amount of the samples set and the labor that the personnel need to offer are enormous.

[The research to the optimal calibration model for discrete scanning spectrometers].

For spectrometers which don't operate in consistently scanning mode such as fixed-filter spectrometer, diode arrays spectrometer and so on, how to find an optimal wavelengths combination rapidly and accurately has always been a key problem in NIR so far. The conventional methods to choose the optimal wavelengths for calibration are Forward Stepwise multiple linear Regression (FSR) and Backward Stepwise Regression (BSR), which choose the optimal wavelengths based on the t test result of all the calibration wavelengths. However, maybe the wavelength eliminated is very useful in application and the wavelength chosen may not be so useful as expected, as a result it is compulsory to make more tests to verify the truly applicable wavelength combination for calibration.