Agilent g2201aa chemstation software

Manufactured by Agilent Technologies

Sourced in Germany

The Agilent G2201AA ChemStation software is a data analysis and instrument control software designed for use with Agilent analytical instruments. The software provides a comprehensive platform for data processing, method development, and reporting.

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8 protocols using agilent g2201aa chemstation software

CE-TOFMS Analysis of Metabolites

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CE-TOFMS was performed using an Agilent CE Capillary Electrophoresis System equipped with an Agilent 6210 Time-of-Flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE-MS adapter kit, and Agilent G1607A CE-ESI-MS sprayer kit (Agilent Technologies, Waldbronn, Germany). The system was controlled by Agilent G2201AA ChemStation software for CE. Data acquisition was performed using Analyst QS software for Agilent TOF (Applied Biosystems, CA, USA; MDS Sciex, Ontario, Canada).

Jeelani G., Sato D., Soga T, & Nozaki T. (2017). Genetic, metabolomic and transcriptomic analyses of the de novo L-cysteine biosynthetic pathway in the enteric protozoan parasite Entamoeba histolytica. Scientific Reports, 7, 15649.

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Metabolome Analysis by CE-TOFMS

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The samples were subjected to capillary electrophoresis mass spectrometry with time‐of‐flight (CE‐TOFMS) analysis. Metabolome analysis was conducted with the Basic Scan package of Human Metabolome Technologies (HMT; Tsuruoka, Yamagata, Japan) using CE‐TOFMS based on the methods described previously.⁷, ⁸ CE‐TOFMS analysis was carried out using an Agilent CE capillary electrophoresis system equipped with an Agilent 6,210 TOF mass spectrometer (Agilent Technologies, Santa Clara, CA, USA). The systems were controlled by Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies). The spectrometer was scanned from m/z 50 to 1,000, and peaks were extracted using MasterHands automatic integration software (Keio University, Tsuruoka, Yamagata, Japan) to obtain peak information including m/z, peak area, and migration time.⁹ Signal peaks corresponding to isotopomers, adduct ions, and other product ions of known metabolites were excluded, and the remaining peaks were annotated according to the HMT metabolite database based on their m/z values with the migration times. Areas of the annotated peaks were then normalized based on internal standard levels and sample amounts to obtain relative levels of each metabolite. One hundred ten primary metabolites were absolutely quantified based on one‐point calibrations using their respective standard compounds.

Muratsu A., Ikeda M., Shimizu K., Kameoka S., Motooka D., Nakamura S., Matsumoto H., Ogura H, & Shimazu T. (2022). Dynamic change of fecal microbiota and metabolomics in a polymicrobial murine sepsis model. Acute Medicine & Surgery, 9(1), e770.

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CE-TOFMS Analysis of Metabolites

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CE-time-of-flight mass spectrometry (TOFMS) was carried out using an Agilent CE Capillary Electrophoresis system equipped with an Agilent 6210 Time of Flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE-MS adapter kit, and Agilent G1607A CE-ESI-MS sprayer kit (Agilent Technologies, Waldbronn, Germany). The systems were controlled by Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies, Waldbronn, Germany). The metabolites were analyzed by using a fused silica capillary (50 μm i.d. × 80 cm total length), with commercial electrophoresis buffer (solution ID: H3301-1001 for cation analysis and H3302-1021 for anion analysis, Human Metabolome Technologies, Inc., Tsuruoka, Japan) as the electrolyte. The sample was injected at a pressure of 50 mbar for 10 s (approximately 10 nL) in cation analysis and 25 s (approximately 25 nL) in anion analysis. The spectrometer was scanned from m/z 50 to 1,000. Other conditions were as described previously [18 (link)-20 (link)].

Tedeschi P.M., Johnson-Farley N., Lin H., Shelton L.M., Ooga T., Mackay G., Van Den Broek N., Bertino J.R, & Vazquez A. (2015). Quantification of folate metabolism using transient metabolic flux analysis. Cancer & Metabolism, 3, 6.

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CE-TOFMS Protocol for Metabolite Analysis

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CE‐TOFMS was performed using an Agilent CE Capillary Electrophoresis System with an Agilent 6210 Time of Flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE‐MS adapter kit, and Agilent G1607A CE‐ESI‐MS sprayer kit (Agilent Technologies, Waldbronn, Germany), as described in the previous papers.17, 18, 19, 20 The systems were controlled by the Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies). The metabolites were analyzed by using a fused silica capillary with the electrophoresis buffer (Human Metabolome Technologies) as the electrolyte. The sample was injected at a pressure of 50 mbar for 10 s in cation analysis and 25 s in anion analysis. The spectrometer was scanned from m/z 50 to 1000.

Fujita M., Imadome K, & Imai T. (2017). Metabolic characterization of invaded cells of the pancreatic cancer cell line, PANC‐1. Cancer Science, 108(5), 961-971.

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Comprehensive Metabolite Profiling by CE-TOFMS

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Fifty μL of plasma were added to 450 μL of methanol with an internal standard (10 μM final concentration solution of methionine sulfone and 10-camphorsulfonic acid, solution ID: H3304-1002, HMT) at 0 °C in order to inactivate enzymes. The extract was further mixed with 500 μL chloroform and 200 μL Milli-Q water. The mixture was centrifuged at 2300 × g for 5 min at 4 °C, and 350 μL of the upper aqueous layer was transferred into an ultrafiltration tube (Ultra-free MC PLHCC, filter-unit 5 kDa, HMT) and filtered to remove proteins. The filtrate was centrifugally concentrated and rehydrated in 50 μL of Milli-Q water for injection into the CE-TOFMS.
CE-TOFMS measurement was carried out using an Agilent CE Capillary Electrophoresis System equipped with an Agilent 6210 time of flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE-MS adapter kit, and Agilent G1607A CE-ESI-MS sprayer kit (Agilent Technologies, Waldbronn, Germany). The systems were controlled by Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies). Pre-treated samples were applied into the system using fused silica capillaries (50 μm i.d. ×80 cm total length) (Agilent Technologies) to detect hydrosoluble metabolites. The measurement modes for cation and anion metabolites are shown in Table S1.

Suzuki M., Yoshioka M., Ohno Y, & Akune Y. (2018). Plasma metabolomic analysis in mature female common bottlenose dolphins: profiling the characteristics of metabolites after overnight fasting by comparison with data in beagle dogs. Scientific Reports, 8, 12030.

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Plasma Metabolome Profiling by LC-MS

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As 500 µL of plasma was necessary for metabolome analysis, the plasma samples collected from eight mice (Test No. 27 in Table 1) were pooled for each group. Five hundred microlitres of the pooled plasma sample was added to 1500 µL of 1% formic acid/acetonitrile containing an internal standard solution (Solution ID: H3304-1002; Human Metabolome Technologies, Inc., Tsuruoka, Japan) at 0 °C to inactivate enzymes. The solution was thoroughly mixed and centrifuged at 2300×g for 5 min at 4 °C. The supernatant was filtered using Hybrid SPE phospholipid 55,261-U (Supelco, Bellefonte, PA) to remove phospholipids. The filtrate was desiccated and dissolved in 100 µL of isopropanol/Milli-Q for liquid chromatography mass spectrometry. Metabolome analysis was carried out at a facility of Human Metabolome Technologies Inc. (Tsuruoka, Japan). Liquid chromatography time-of-flight mass spectrometry analysis was carried out using an Agilent LC System (Agilent 1200 series RRLC system SL) equipped with an Agilent 6230 Time-of-Flight mass spectrometer (Agilent Technologies, Waldbronn, Germany). The systems were controlled using Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies). The cationic and anionic compounds were analysed using an ODS column (2 mm × 50 mm, 2 μm) according to a previously described method^{34 (link)}.

Harakawa S., Nedachi T, & Suzuki H. (2020). Extremely low-frequency electric field suppresses not only induced stress response but also stress-related tissue damage in mice. Scientific Reports, 10, 20930.

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CE-TOFMS Analysis of Metabolites

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CE-TOFMS was performed using an Agilent CE Capillary Electrophoresis System equipped with an Agilent 6210 Time of Flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE-MS adapter kit, and Agilent G1607A CE-ESI-MS sprayer kit (Agilent Technologies, Waldbronn, Germany). The systems were controlled by the Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies, Waldbronn, Germany). The metabolites were analyzed using a fused silica capillary (50 μm i.d. × 80 cm total length), with a commercial electrophoresis buffer (Solution ID: H3301-1001 for cation analysis and H3302-1021 for anion analysis, HMT) as the electrolyte. The sample was injected at a pressure of 50 mbar for 10 s (approximately 10 nL) for the cation analysis and 25 s (approximately 25 nL) for the anion analysis. Spectrometry was performed by scanning from m/z 50 to 1000. Other conditions were as described previously [30 (link)].

Sawano S., Oza K., Murakami T., Nakamura M., Tatsumi R, & Mizunoya W. (2019). Effect of Gender, Rearing, and Cooking on the Metabolomic Profile of Porcine Muscles. Metabolites, 10(1), 10.

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Metabolite Analysis by CE-MS

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Time of Flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE-MS adapter kit, and Agilent G1607A CE-ESI-MS sprayer kit (Agilent Technologies, Waldbronn, Germany), as described in previous papers (31) (32) (33) . The systems were controlled by the Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies). The metabolites were analyzed by using a fused silica capillary with the electrophoresis buffer (Human Metabolome Technologies) as the electrolyte. The sample was injected at a pressure of 37.5mmHg (50mbar) for 10 seconds in cation analysis and 25 seconds in anion analysis. The scanning of spectrometer was performed from m/z 50 to 1,000.

Fujita M., Imadome K., Somasundaram V., Kawanishi M., Karasawa K., & Wink D.A. (2020). Metabolic characterization of aggressive breast cancer cells exhibiting invasive phenotype: Impact of non-cytotoxic doses of 2-DG on diminishing invasiveness.

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