Spectroscopy and Spectral Analysis, Volume. 44, Issue 4, 1151(2024)
Fluorescence Crosstalk Correction for Multiple Quantitative PCR Based on Principal Component Analysis
Real-time fluorescence quantitative PCR is a commonly used detection method in molecular biology, mainly applied to detect DNA or RNA. However, the fluorescence data obtained by this method may feature crosstalk between fluorescence channels since there are overlapping fluorescence spectra and limitations of filter bandwidth. Such crosstalkcomplicates the PCR analysis and may ultimately affect the interpretation of detection results. Crosstalk between fluorescence channels can be reduced or eliminated by choosing appropriate filter combinations and using fluorescence crosstalk correction.Currently, the fluorescence crosstalk matrix is mostly estimated through aniterative algorithm, which is a complex method to obtain fluorescence crosstalk matrix from mixed multi-channel fluorescence data. A single dye experiment is carried out on the hardware platform to quickly calculate the fluorescence crosstalk matrix and reduce the computation. The principal component analysis (PCA) method is applied to estimate the distribution of dye fluorescence signals in each detection channel, and then the fluorescence crosstalk matrix is obtained. The crosstalk matrix shows that, for the built hardware platform, the Cy5 dye has a considerable crosstalk to the Cy5.5 channel with a crosstalk ratio of 8.76%; the Cy5.5 dye has a 6.2% crosstalk ratio to the Cy5 channel; the ROX dye has a 2.68%crosstalk ratio to the HEX channel; the crosstalk ratio of HEX dye to FAM channel is about 1.58%; the crosstalk ratio of FAM dye to HEX channelis relatively small, with only about 0.25%, and the other channels have no apparent crosstalk between each other, which is consistent with the fluorescence spectrum. The fluorescence crosstalk matrix is used to process the raw fluorescence data from the single dye experiment, which effectively removes the fluorescence data from the non-target channel and realizes the decoupling of the fluorescence channel data. The feasibility of the method is thus confirmed. Subsequently, a fluorescence separationexperiment is designed by randomly mixing various dyes of different concentrations to evaluate the quality of the crosstalk matrixs fluorescence correction. The experimental data are subject to fluorescence correction, and the linearity of the fluorescence for each dye is analyzed. The result demonstrates that the linear correlation of each fluorescent channel is high, and each linear correlation coefficient r of the five fluorescence channels exceeds 0.99, further validating the methods effectiveness.
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WANG Peng, WANG Zhen-ya, WANG Shun, ZHANG Jie, ZHANG Zhe, YANG Tian-hang, WANG Bi-dou, LUO Gang-yin, WENG Liang-fei, ZHANG Chong-yu, LI Yuan. Fluorescence Crosstalk Correction for Multiple Quantitative PCR Based on Principal Component Analysis[J]. Spectroscopy and Spectral Analysis, 2024, 44(4): 1151
Received: Feb. 6, 2023
Accepted: --
Published Online: Aug. 21, 2024
The Author Email: Bi-dou WANG (qingshi7224@sina.com)