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Calibration Practices in Clinical Mass Spectrometry: Review and Recommendations
Cheng Wan Ling,Markus Corey,Lim Chun Yee,Tan Rui Zhen,Sethi Sunil Kumar,Loh Tze Ping 대한진단검사의학회 2023 Annals of Laboratory Medicine Vol.43 No.1
Background: Calibration is a critical component for the reliability, accuracy, and precision of mass spectrometry measurements. Optimal practice in the construction, evaluation, and implementation of a new calibration curve is often underappreciated. This systematic review examined how calibration practices are applied to liquid chromatography-tandem mass spectrometry measurement procedures. Methods: The electronic database PubMed was searched from the date of database inception to April 1, 2022. The search terms used were “calibration,” “mass spectrometry,” and “regression.” Twenty-one articles were identified and included in this review, following evaluation of the titles, abstracts, full text, and reference lists of the search results. Results: The use of matrix-matched calibrators and stable isotope-labeled internal standards helps to mitigate the impact of matrix effects. A higher number of calibration standards or replicate measurements improves the mapping of the detector response and hence the accuracy and precision of the regression model. Constructing a calibration curve with each analytical batch recharacterizes the instrument detector but does not reduce the actual variability. The analytical response and measurand concentrations should be considered when constructing a calibration curve, along with subsequent use of quality controls to confirm assay performance. It is important to assess the linearity of the calibration curve by using actual experimental data and appropriate statistics. The heteroscedasticity of the calibration data should be investigated, and appropriate weighting should be applied during regression modeling. Conclusions: This review provides an outline and guidance for optimal calibration practices in clinical mass spectrometry laboratories.
Huaide Qin,Fuqing Wu,Kun Xie,Zhijun Cheng,Xiuping Guo,Xin Zhang,Jie Wang,Cailin Lei,Jiulin Wang,Long Mao,Ling Jiang,Jianmin Wan 한국식물학회 2010 Journal of Plant Biology Vol.54 No.5
Rice seed dormancy is an important trait related to the preharvest sprouting resistance of rice and is controlled by a polygene network. To identify the genes involved in this process, transcriptome analysis was applied to strong seed dormancy indica cultivar N22 and its weak dormancy mutant Q4646. The results showed that 280genes were significantly upregulated and 244 genes significantly downregulated in the seed of Q4646 as compared to N22 during 25 to 28 days after heading. These genes were mainly involved in stress response, Ccompound metabolism, plant development, DNA processing,and lipid metabolism. Some of these genes were colocalized with several reported dormancy QTLs, suggesting that they are possibly candidate genes underlying rice seed dormancy. Our work provides important clues for future effort to clone seed dormant genes in rice.