Ezinfo

Manufactured by Waters Corporation

Sourced in United States

EZinfo is a software package designed to analyze and visualize data generated from Waters Corporation's analytical instruments. It provides advanced data processing and multivariate statistical analysis capabilities to assist researchers and scientists in interpreting their experimental results.

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Lab products found in correlation

Progenesis qi software, by Waters Corporation (3 mentions) Unifi software, by Waters Corporation (2 mentions) Unifi 1, by Waters Corporation (1 mentions) Progenesis qi 2, by Waters Corporation (1 mentions) Prism 6, by GraphPad (1 mentions) Markerlynx, by Waters Corporation (1 mentions) Analyst 1, by AB Sciex (1 mentions)

Spelling variants of this product

EZinfo software (22 citations) EZinfo 3.0 (16 citations) EZinfo 2.0 software (9 citations) EZinfo software 2.0 (7 citations)

8 protocols using ezinfo

Comprehensive Metabolic Profiling of Isatidis Radix

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All images were reconstructed by linear smoothing and displayed in absolute intensity after total ion current (TIC) normalization. Screening of the ions was carried out by the aid of the database including more than 400 components in Isatidis Radix, which was constructed by the authors using UNIFI software (Waters, Milford, MA, USA) and other commercial databases. Further identification was based on the accurate mass to charge ratio with reference to the reference standards and/or the literature and databases and MS/MS information obtained by UHPLC-Q-Orbitrap MS analysis. The region of interest (ROI) was selected from the whole scanned sector. Each sample had 1 ROI that was converted into a data matrix of mass m/z and signal intensity. Then, orthogonal partial least squares discrimination analysis (OPLS-DA) was performed by EZinfo (Waters, Milford, MA, USA) for the differentiation of samples with different quality characters and for the discovery of the potential quality-associated markers.

Nie L.X., Huang L.Y., Wang X.P., Lv L.F., Yang X.X., Jia X.F., Kang S., Yao L.W., Dai Z, & Ma S.C. (2022). Desorption Electrospray Ionization Mass Spectrometry Imaging Illustrates the Quality Characters of Isatidis Radix. Frontiers in Plant Science, 13, 897528.

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Metabolomics Data Analysis Pipeline

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The profiling data were acquired using UNIFI 1.8 software (Waters, Milford, MA, USA) and processed using Progenesis QI 2.1 software with EZinfo (Waters, Milford, MA, USA). The LC-MS signals acquired in ESI+ and ESI- modes were uploaded to Progenesis QI with EZinfo for data normalization, peak picking, compound measurement, and statistical analysis. The LC-MS signals were then converted to datasets by using Progenesis QI. The datasets were subjected to statistical and pathway analysis by applying the MetaboAnalysis 5.0 tool (https://www.metaboanalyst.ca/MetaboAnalyst/ accessed on 14 September 2022). The level of each metabolite was estimated by the peak area of the chromatogram for each identified metabolite using UNIFI 1.8 software (Waters, Milford, MA, USA).

Hsieh M.T., Lee P.C., Chiang Y.T., Lin H.Y, & Lee D.Y. (2023). The Effects of a Curcumin Derivative and Osimertinib on Fatty Acyl Metabolism and Mitochondrial Functions in HCC827 Cells and Tumors. International Journal of Molecular Sciences, 24(15), 12190.

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Untargeted Metabolite Profiling by UPLC-Q-TOF/MS

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After the UPLC-Q-TOF/MS analysis, the raw data were imported into the Progenesis QI software (version 2.0, Nonlinear Dynamics, Waters, United States) for peak detection, alignment, deconvolution, and normalization. The resultant data matrices were linked to EZ info (version 2.0, Waters Corporation) for the principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). The list of ions that contributed to the grouping was obtained from loading the S-plot and variable importance plot (VIP). The biomarkers were identified by MS/MS fragment ion and accurate mass by searching reliable online biochemical databases such as the Human metabolome database (HMDB) (http://www.hmdb.ca/) and Kyoto Encyclopedia of Genes and Genomes (KEGG) (https://www.kegg.jp/kegg/) in the Progenesis QI software (Ren et al., 2016 (link)).

Wang Y.Y., Sun Y.P., Yang B.Y., Wang Q.H, & Kuang H.X. (2022). Application of metabolomics and network analysis to reveal the ameliorating effect of four typical “hot” property herbs on hypothyroidism rats. Frontiers in Pharmacology, 13, 955905.

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Metabolomic Profiling of Rheumatoid Arthritis

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The raw data is imported into Progenesis QI software (Waters Corp.) for noise reduction, peak alignment, and normalization to get an information matrix that includes m/z, retention time, and peak relative intensity. The EZinfo software (Waters Corp.) performs a principal component analysis (PCA) and judges differences between groups. Orthogonal partial least squares discriminant analysis (OPLS-DA) calculates variable importance in projection value (VIP), a statistical normalization abundance of different ions. Finally, MS/MS information combined with HMDB (https://hmdb.ca/) and MassBank (http://www.massbank.jp/) databases identifies metabolites, VIP >1, and metabolites normalized abundance with intergroup significance are considered potential biomarkers of RA rats. Comparisons between the two groups of the quantitative data were completed using Graphpad software (California, United States) independent t-test and presented as mean ± standard deviation, with p < 0.05 indicating significant differences and p < 0.01 indicating extremely significant differences.

Li T., Wu F., Zhang A., Dong H., Ullah I., Lin H., Miao J., Sun H., Han Y., He Y, & Wang X. (2022). High-Throughput Chinmedomics Strategy Discovers the Quality Markers and Mechanisms of Wutou Decoction Therapeutic for Rheumatoid Arthritis. Frontiers in Pharmacology, 13, 854087.

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Metabolomic Analysis of G6PD Deficiency

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The LC-MS raw data were initially analyzed by Markerlynx (Waters). For modeling and reporting metabolomic data, the unsupervised PCA and orthogonal partial least-squares discriminant analysis (OPLS-DA) model and the Extended Statistics (EZinfo, Waters) were used. The variable importance in the projection (VIP) value of each variable in the model was calculated to represent its contribution to the grouping. A higher VIP value indicated a stronger contribution to discrimination among groups. Where applicable, presenting data were shown as mean±S.D. Statistical difference between mock and G6PD-deficient adults and embryos was analyzed by two-tailed t-test. Statistical tests were conducted using GraphPad Prism 6.0 (GraphPad Software, San Diego, CA, USA). Values of P<0.05 were considered statistically significant.

Chen T.L., Yang H.C., Hung C.Y., Ou M.H., Pan Y.Y., Cheng M.L., Stern A., Lo S.J, & Chiu D.T. (2017). Impaired embryonic development in glucose-6-phosphate dehydrogenase-deficient Caenorhabditis elegans due to abnormal redox homeostasis induced activation of calcium-independent phospholipase and alteration of glycerophospholipid metabolism. Cell Death & Disease, 8(1), e2545-.

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Exo-metabolomic Analysis of Activated T Cells

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We analyzed the processed data matrix with multivariate statistical analysis using Umetrics extended statistics software EZInfo version 2.0.0.0 (Waters, Milford, MA). Orthogonal partial least squares-discriminant analysis (OPLS-DA) was performed on expression levels of all measurable analytes and used Pareto scaling to determine exo-metabolomic differences between HCA-positive and -negative samples in the naïve and activated states.
The integrated intensity of each chromatographically resolved m/z peak was log₂ transformed. Change in peak area following CD4⁺ T lymphocyte activation was determined using fold change (FC = mean activated /mean naive). Statistical significance was determined using a paired two-tailed Student’s t-test. Technical replicates were used in these calculations; all calculations were performed on log₂ transformed values. An m/z species was considered differentially expressed when it met the dual criteria of fold change |FC| > 1 and p-value < 0.05 (for all subsequent analyses, p-value < 0.05 was used as the threshold for significance). Direction of change was defined as FC > 1 = produced, FC < −1 = consumed. Additionally, for a differentially expressed metabolite to be changed due to HCA exposure, it had exhibit a magnitude difference (|FC| > 1) and p-value < 0.05 from control samples.

Matta P., Sherrod S.D., Marasco C.C., Moore D.J., McLean J.A, & Weitkamp J.H. (2017). In Utero Exposure to Histological Chorioamnionitis Primes the Exo-Metabolomic Profile of Preterm CD4+ T Lymphocytes. Journal of immunology (Baltimore, Md. : 1950), 199(9), 3074-3085.

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Metabolic Profiling Using LC-MS

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The profiling data were acquired using UNIFI software (Waters) and processed using Progenesis QI software with EZinfo (Waters). The LC–MS signals acquired in ESI+ and ESI− modes were uploaded to Progenesis QI with EZinfo for data normalization, peak picking, compound measurement, and statistical analysis. The LC–MS signals were then converted to datasets by using Progenesis QI. The datasets were subjected to statistical and pathway analysis by applying the MetaboAnalysis 5.0 tool (https://www.metaboanalyst.ca//faces/ModuleView.xhtml).

Lee D.Y., Jiu Y.R, & Hsieh C.L. (2022). Metabolism modulation in rat tissues in response to point specificity of electroacupuncture. Scientific Reports, 12, 210.

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Metabolomics Data Analysis Workflow

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The data acquisition was carried out with Analyst 1.7.1 (AB SCIEX, Framingham, MA, USA). Integration and quantification were achieved with OS-Q V1.6 (AB SCIEX, Framingham, MA, USA). Principal component analysis was conducted with EZinfo (Waters, Milford, MA, USA). T-tests were performed by IBM SPSS (Armonk, NY, USA). Heatmaps were utilized using the Metaboanalyst 5.0 (http://www.metaboanalyst.ca/, accessed on 30 June 2022).

Qin T., Rong X., Zhang X., Kong L., Kang Y., Liu X., Hu M., Liang H, & Tie C. (2023). Lipid Mediators Metabolic Chaos of Asthmatic Mice Reversed by Rosmarinic Acid. Molecules, 28(9), 3827.

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