#METABOLOMICS WORKBENCH ssah9_20220411_070428 DATATRACK_ID:3191 STUDY_ID:ST002136 ANALYSIS_ID:AN003497 PROJECT_ID:PR001353
VERSION             	1
CREATED_ON             	April 15, 2022, 8:15 am
#PROJECT
PR:PROJECT_TITLE                 	Targeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry
PR:PROJECT_TITLE                 	Metabolomics to Monitor Ovarian Cancer Progression.
PR:PROJECT_SUMMARY               	The lack of effective screening strategies for high-grade serous carcinoma
PR:PROJECT_SUMMARY               	(HGSC), a subtype of ovarian cancer (OC) responsible for 80% of OC related
PR:PROJECT_SUMMARY               	deaths, emphasizes the need for new diagnostic markers and a better
PR:PROJECT_SUMMARY               	understanding of disease pathogenesis. Capillary electrophoresis (CE) coupled
PR:PROJECT_SUMMARY               	with high-resolution mass spectrometry (HRMS) offers high selectivity and
PR:PROJECT_SUMMARY               	sensitivity, thereby increasing metabolite coverage and consequently enhancing
PR:PROJECT_SUMMARY               	biomarker discovery. Recent advances in CE-MS include small, chip-based CE
PR:PROJECT_SUMMARY               	systems coupled with nanoelectrospray ionization (nanoESI) to provide rapid,
PR:PROJECT_SUMMARY               	high-resolution analysis of biological specimens. Here, we describe the
PR:PROJECT_SUMMARY               	development of a targeted microchip (µ) CE-HRMS method to analyze 40 target
PR:PROJECT_SUMMARY               	metabolites in serum samples from a triple-mutant (TKO) mouse model of HGSC,
PR:PROJECT_SUMMARY               	with an acquisition time of only 3 min. Extracted ion electropherograms showed
PR:PROJECT_SUMMARY               	sharp, highly resolved peak shapes, even for structural isomers such as leucine
PR:PROJECT_SUMMARY               	and isoleucine. All analytes maintained good linearity with an average R2 of
PR:PROJECT_SUMMARY               	0.994, while detection limits were in the nM range. Thirty metabolites were
PR:PROJECT_SUMMARY               	detected in mice serum, with recoveries ranging from 78 to 120 %, indicating
PR:PROJECT_SUMMARY               	minimal ionization suppression and good accuracy. We applied the µCE-HRMS
PR:PROJECT_SUMMARY               	method to sequentially-collected serum samples from TKO and TKO-control mice.
PR:PROJECT_SUMMARY               	Time-resolved analysis revealed characteristic temporal trends for amino acids,
PR:PROJECT_SUMMARY               	nucleosides, and amino acids derivatives associated with HGSC progression.
PR:PROJECT_SUMMARY               	Comparison of the µCE-HRMS dataset with non-targeted ultra-high performance
PR:PROJECT_SUMMARY               	liquid chromatography (UHPLC) – MS results revealed identical temporal trends
PR:PROJECT_SUMMARY               	for the 5 metabolites detected on both platforms, indicating the µCE-HRMS
PR:PROJECT_SUMMARY               	method performed satisfactorily in terms of capturing metabolic reprogramming
PR:PROJECT_SUMMARY               	due to HGSC progression, while reducing the total analysis time 3-fold.
PR:INSTITUTE                     	Georgia Institute of Technology
PR:LAST_NAME                     	Sah
PR:FIRST_NAME                    	Samyukta
PR:ADDRESS                       	901 Atlantic Dr NW, Atlanta, GA, 30332, USA
PR:EMAIL                         	ssah9@gatech.edu
PR:PHONE                         	5746780124
#STUDY
ST:STUDY_TITLE                   	Targeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry
ST:STUDY_TITLE                   	Metabolomics to Monitor Ovarian Cancer Progression (calibration standards)
ST:STUDY_SUMMARY                 	The lack of effective screening strategies for high-grade serous carcinoma
ST:STUDY_SUMMARY                 	(HGSC), a subtype of ovarian cancer (OC) responsible for 80% of OC related
ST:STUDY_SUMMARY                 	deaths, emphasizes the need for new diagnostic markers and a better
ST:STUDY_SUMMARY                 	understanding of disease pathogenesis. Capillary electrophoresis (CE) coupled
ST:STUDY_SUMMARY                 	with high-resolution mass spectrometry (HRMS) offers high selectivity and
ST:STUDY_SUMMARY                 	sensitivity, thereby increasing metabolite coverage and consequently enhancing
ST:STUDY_SUMMARY                 	biomarker discovery. Recent advances in CE-MS include small, chip-based CE
ST:STUDY_SUMMARY                 	systems coupled with nanoelectrospray ionization (nanoESI) to provide rapid,
ST:STUDY_SUMMARY                 	high-resolution analysis of biological specimens. Here, we describe the
ST:STUDY_SUMMARY                 	development of a targeted microchip (µ) CE-HRMS method to analyze 40 target
ST:STUDY_SUMMARY                 	metabolites in serum samples from a triple-mutant (TKO) mouse model of HGSC,
ST:STUDY_SUMMARY                 	with an acquisition time of only 3 min. Extracted ion electropherograms showed
ST:STUDY_SUMMARY                 	sharp, highly resolved peak shapes, even for structural isomers such as leucine
ST:STUDY_SUMMARY                 	and isoleucine. All analytes maintained good linearity with an average R2 of
ST:STUDY_SUMMARY                 	0.994, while detection limits were in the nM range. Thirty metabolites were
ST:STUDY_SUMMARY                 	detected in mice serum, with recoveries ranging from 78 to 120 %, indicating
ST:STUDY_SUMMARY                 	minimal ionization suppression and good accuracy. We applied the µCE-HRMS
ST:STUDY_SUMMARY                 	method to sequentially-collected serum samples from TKO and TKO-control mice.
ST:STUDY_SUMMARY                 	Time-resolved analysis revealed characteristic temporal trends for amino acids,
ST:STUDY_SUMMARY                 	nucleosides, and amino acids derivatives associated with HGSC progression.
ST:STUDY_SUMMARY                 	Comparison of the µCE-HRMS dataset with non-targeted ultra-high performance
ST:STUDY_SUMMARY                 	liquid chromatography (UHPLC) – MS results revealed identical temporal trends
ST:STUDY_SUMMARY                 	for the 5 metabolites detected on both platforms, indicating the µCE-HRMS
ST:STUDY_SUMMARY                 	method performed satisfactorily in terms of capturing metabolic reprogramming
ST:STUDY_SUMMARY                 	due to HGSC progression, while reducing the total analysis time 3-fold.
ST:INSTITUTE                     	Georgia Institute of Technology
ST:LAST_NAME                     	Sah
ST:FIRST_NAME                    	Samyukta
ST:ADDRESS                       	901 Atlantic Dr NW, Atlanta, GA, 30332, USA
ST:EMAIL                         	ssah9@gatech.edu
ST:PHONE                         	5746780124
#SUBJECT
SU:SUBJECT_TYPE                  	Synthetic sample
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Raw file names and additional sample data
SUBJECT_SAMPLE_FACTORS           	-	sample1-2	factor :standard mix	RAW_FILE_NAME=sample1-2
SUBJECT_SAMPLE_FACTORS           	-	sample1-3	factor :standard mix	RAW_FILE_NAME=sample1-3
SUBJECT_SAMPLE_FACTORS           	-	sample2-1	factor :standard mix	RAW_FILE_NAME=sample2-1
SUBJECT_SAMPLE_FACTORS           	-	sample2-2	factor :standard mix	RAW_FILE_NAME=sample2-2
SUBJECT_SAMPLE_FACTORS           	-	sample3-1	factor :standard mix	RAW_FILE_NAME=sample3-1
SUBJECT_SAMPLE_FACTORS           	-	sample3-2	factor :standard mix	RAW_FILE_NAME=sample3-2
SUBJECT_SAMPLE_FACTORS           	-	sample4-1	factor :standard mix	RAW_FILE_NAME=sample4-1
SUBJECT_SAMPLE_FACTORS           	-	sample4-2	factor :standard mix	RAW_FILE_NAME=sample4-2
SUBJECT_SAMPLE_FACTORS           	-	sample5-1	factor :standard mix	RAW_FILE_NAME=sample5-1
SUBJECT_SAMPLE_FACTORS           	-	sample5-2	factor :standard mix	RAW_FILE_NAME=sample5-2
SUBJECT_SAMPLE_FACTORS           	-	sample6-1	factor :standard mix	RAW_FILE_NAME=sample6-1
SUBJECT_SAMPLE_FACTORS           	-	sample6-2	factor :standard mix	RAW_FILE_NAME=sample6-2
SUBJECT_SAMPLE_FACTORS           	-	0.1uM_run1	factor :standard mix	RAW_FILE_NAME=0.1uM_run1
SUBJECT_SAMPLE_FACTORS           	-	0.1uM_run2	factor :standard mix	RAW_FILE_NAME=0.1uM_run2
SUBJECT_SAMPLE_FACTORS           	-	0.05uM_run1	factor :standard mix	RAW_FILE_NAME=0.05uM_run1
SUBJECT_SAMPLE_FACTORS           	-	0.05uM_run2	factor :standard mix	RAW_FILE_NAME=0.05uM_run2
SUBJECT_SAMPLE_FACTORS           	-	0.025uM_run1	factor :standard mix	RAW_FILE_NAME=0.025uM_run1
SUBJECT_SAMPLE_FACTORS           	-	0.025uM_run2	factor :standard mix	RAW_FILE_NAME=0.025uM_run2
SUBJECT_SAMPLE_FACTORS           	-	1uM_run1	factor :standard mix	RAW_FILE_NAME=1uM_run1
SUBJECT_SAMPLE_FACTORS           	-	1uM_run2	factor :standard mix	RAW_FILE_NAME=1uM_run2
SUBJECT_SAMPLE_FACTORS           	-	2.5uM_run1	factor :standard mix	RAW_FILE_NAME=2.5uM_run1
SUBJECT_SAMPLE_FACTORS           	-	2.5uM_run2	factor :standard mix	RAW_FILE_NAME=2.5uM_run2
SUBJECT_SAMPLE_FACTORS           	-	5uM_run1	factor :standard mix	RAW_FILE_NAME=5uM_run1
SUBJECT_SAMPLE_FACTORS           	-	5uM_run2	factor :standard mix	RAW_FILE_NAME=5uM_run2
SUBJECT_SAMPLE_FACTORS           	-	10uM_run1	factor :standard mix	RAW_FILE_NAME=10uM_run1
SUBJECT_SAMPLE_FACTORS           	-	10uM_run2	factor :standard mix	RAW_FILE_NAME=10uM_run2
SUBJECT_SAMPLE_FACTORS           	-	25uM_run2	factor :standard mix	RAW_FILE_NAME=25uM_run2
SUBJECT_SAMPLE_FACTORS           	-	25uM_run3	factor :standard mix	RAW_FILE_NAME=25uM_run3
SUBJECT_SAMPLE_FACTORS           	-	0.1uMstdmix_run1	factor :standard mix	RAW_FILE_NAME=0.1uMstdmix_run1chip2955
SUBJECT_SAMPLE_FACTORS           	-	0.1uMstdmix_run2	factor :standard mix	RAW_FILE_NAME=0.1uMstdmix_run2chip2955
SUBJECT_SAMPLE_FACTORS           	-	0.05uM_stdmix_run1	factor :standard mix	RAW_FILE_NAME=0.05uM_stdmix_run1chip2955
SUBJECT_SAMPLE_FACTORS           	-	0.05uM_stdmix_run2	factor :standard mix	RAW_FILE_NAME=0.05uM_stdmix_run2chip2955
SUBJECT_SAMPLE_FACTORS           	-	1uM_stdmix_run1	factor :standard mix	RAW_FILE_NAME=1uM_stdmix_run1chip2955
SUBJECT_SAMPLE_FACTORS           	-	1uM_stdmix_run2	factor :standard mix	RAW_FILE_NAME=1uM_stdmix_run2chip2955
SUBJECT_SAMPLE_FACTORS           	-	2.5uM_stdmix_run1	factor :standard mix	RAW_FILE_NAME=2.5uM_stdmix_run1chip2955
SUBJECT_SAMPLE_FACTORS           	-	2.5uM_stdmix_run2	factor :standard mix	RAW_FILE_NAME=2.5uM_stdmix_run2chip2955
SUBJECT_SAMPLE_FACTORS           	-	25uM_stdmix_run1	factor :standard mix	RAW_FILE_NAME=25uM_stdmix_run1chip2955
SUBJECT_SAMPLE_FACTORS           	-	25uM_stdmix_run2	factor :standard mix	RAW_FILE_NAME=25uM_stdmix_run2chip2955
SUBJECT_SAMPLE_FACTORS           	-	10uM_stdmix_run1	factor :standard mix	RAW_FILE_NAME=10uM_stdmix_run1chip2955
SUBJECT_SAMPLE_FACTORS           	-	10uM_stdmix_run2	factor :standard mix	RAW_FILE_NAME=10uM_stdmix_run2chip2955
SUBJECT_SAMPLE_FACTORS           	-	sample2-2-run2	factor :standard mix	RAW_FILE_NAME=sample2-2-run2
SUBJECT_SAMPLE_FACTORS           	-	sample2-2-run3	factor :standard mix	RAW_FILE_NAME=sample2-2-run3
#COLLECTION
CO:COLLECTION_SUMMARY            	To improve CE peak shape and support electrophoretic focusing, a sample diluent
CO:COLLECTION_SUMMARY            	consisting of 133 mM ammonium acetate, and 0.1% formic acid was prepared.13 This
CO:COLLECTION_SUMMARY            	sample diluent was spiked with 1 µM 13C phenylalanine, 3 µM 13C6 arginine and
CO:COLLECTION_SUMMARY            	0.8 µM 13C methionine D3 as internal standards. Calibration mixtures were
CO:COLLECTION_SUMMARY            	prepared from serial dilution of stock standard solutions using the spiked
CO:COLLECTION_SUMMARY            	sample diluent in a 1:4 ratio. Each calibration standard was analyzed twice to
CO:COLLECTION_SUMMARY            	yield calibration curves, calculate figures of merit, and perform metabolite
CO:COLLECTION_SUMMARY            	quantification.
CO:SAMPLE_TYPE                   	Synthetic Mixture
#TREATMENT
TR:TREATMENT_SUMMARY             	To improve CE peak shape and support electrophoretic focusing, a sample diluent
TR:TREATMENT_SUMMARY             	consisting of 133 mM ammonium acetate, and 0.1% formic acid was prepared.13 This
TR:TREATMENT_SUMMARY             	sample diluent was spiked with 1 µM 13C phenylalanine, 3 µM 13C6 arginine and
TR:TREATMENT_SUMMARY             	0.8 µM 13C methionine D3 as internal standards. Calibration mixtures were
TR:TREATMENT_SUMMARY             	prepared from serial dilution of stock standard solutions using the spiked
TR:TREATMENT_SUMMARY             	sample diluent in a 1:4 ratio. Each calibration standard was analyzed twice to
TR:TREATMENT_SUMMARY             	yield calibration curves, calculate figures of merit, and perform metabolite
TR:TREATMENT_SUMMARY             	quantification.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	To improve CE peak shape and support electrophoretic focusing, a sample diluent
SP:SAMPLEPREP_SUMMARY            	consisting of 133 mM ammonium acetate, and 0.1% formic acid was prepared.13 This
SP:SAMPLEPREP_SUMMARY            	sample diluent was spiked with 1 µM 13C phenylalanine, 3 µM 13C6 arginine and
SP:SAMPLEPREP_SUMMARY            	0.8 µM 13C methionine D3 as internal standards. Calibration mixtures were
SP:SAMPLEPREP_SUMMARY            	prepared from serial dilution of stock standard solutions using the spiked
SP:SAMPLEPREP_SUMMARY            	sample diluent in a 1:4 ratio. Each calibration standard was analyzed twice to
SP:SAMPLEPREP_SUMMARY            	yield calibration curves, calculate figures of merit, and perform metabolite
SP:SAMPLEPREP_SUMMARY            	quantification.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	CE
CH:INSTRUMENT_NAME               	ZipChip (908 Devices)
CH:COLUMN_NAME                   	HS chip
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Thermo Exactive Plus Orbitrap
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	All experiments were performed in positive ionization mode in the 50-500 m/z
MS:MS_COMMENTS                   	range at a mass resolution setting of 17,500. The capillary temperature was set
MS:MS_COMMENTS                   	to 200 °C and the sheath gas flow rate was 2 psi. The automatic gain control
MS:MS_COMMENTS                   	(AGC) target value was set to 3E6 and the maximum injection time was 20 ms. Data
MS:MS_COMMENTS                   	were acquired using Xcalibur 3.0 (Thermo Scientific) and were imported to
MS:MS_COMMENTS                   	Skyline software14 for peak picking and integration. The peak picking procedure
MS:MS_COMMENTS                   	used the analyte accurate m/z and migration time. Peak areas obtained from
MS:MS_COMMENTS                   	Skyline were exported as spreadsheets for further analysis. Quantitation was
MS:MS_COMMENTS                   	performed with the analyte peak areas relative to the peak area of one of the
MS:MS_COMMENTS                   	three isotopically labeled internal standards (13C6 arginine, 13C methionine D3
MS:MS_COMMENTS                   	and 13C phenylalanine) chosen based on migration time similarities.
#MS_METABOLITE_DATA
MS_METABOLITE_DATA:UNITS	Micromolars 
MS_METABOLITE_DATA_START
Samples	sample6-1	sample6-2	sample5-1	sample5-2	sample4-1	sample4-2	sample3-1	sample3-2	sample2-1	sample2-2	sample1-2	sample1-3	sample2-2-run2	sample2-2-run3	0.1uM_run1	0.1uM_run2	0.05uM_run1	0.05uM_run2	0.025uM_run1	0.025uM_run2	1uM_run1	1uM_run2	2.5uM_run1	2.5uM_run2	5uM_run1	5uM_run2	10uM_run1	10uM_run2	25uM_run2	25uM_run3	0.1uMstdmix_run1	0.1uMstdmix_run2	0.05uM_stdmix_run1	0.05uM_stdmix_run2	1uM_stdmix_run1	1uM_stdmix_run2	2.5uM_stdmix_run1	2.5uM_stdmix_run2	25uM_stdmix_run1	25uM_stdmix_run2	10uM_stdmix_run1	10uM_stdmix_run2
Factors	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix	factor :standard mix
5'-Hydroxy-L-tryptophan	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																														
Acetylcholine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Alanine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
2-Aminoisobutyric acid	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																														
Arginine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Asparagine	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Betaine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																														
Carnitine	0.02	0.02	0.03	0.03	0.06	0.06	0.2	0.2	0.3	0.3	0.6	0.6																														
Choline	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
N,N-Dimethylglycine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Glucosamine	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																														
Glutamine	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10																
Glycine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Histidine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Trans-4-Hydroxy-L-proline	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Methionine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Normetanephrine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																														
Phenylalanine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																														
Proline	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Serine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Threonine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Trimethylamine-N-oxide	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																														
Tryptophan	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Tyrosine			0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Valine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Nicotinamide	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Aspartic acid	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Nicotinic acid	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																														
γ-Aminobutyric acid	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																														
Aminoadipic acid	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Cytidine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Citrulline	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Kynurenine	0.167	0.167	0.25	0.25	0.5	0.5	1.67	1.67	2.5	2.5	5	5																														
Isoleucine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1	10	10																												
Leucine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																			0.1	0.1	0.05	0.05	1	1	2.5	2.5	25	25	10	10
Ornithine			0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1			0.1	0.1	0.05	0.05	0.025	0.025	1	1	2.5	2.5	5	5	10	10	25	25												
Lysine	0.033	0.033	0.05	0.05	0.1	0.1	0.333	0.333	0.5	0.5	1	1																														
Glutamic acid	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Adenosine	0.066	0.066	0.1	0.1	0.2	0.2	0.666	0.666	1	1	2	2																														
Adenine	0.02	0.02	0.03	0.03	0.06	0.06	0.2	0.2	0.3	0.3	0.6	0.6																														
MS_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name	m/z	Migration time (min)
5'-Hydroxy-L-tryptophan	221.09206	1.8
Acetylcholine	146.117	0.9
Alanine	90.05495	1.2
2-Aminoisobutyric acid	104.0706	1.3
Arginine	175.1189	0.9
Asparagine	133.06076	1.5
Betaine	118.08625	1.9
Carnitine	162.1124	1.1
Choline	104.107	0.8
N,N-Dimethylglycine	104.07059	1.7
Glucosamine	180.08664	1.3
Glutamine	147.07641	1.6
Glycine	76.0393	1.1
Histidine	156.07675	1
Trans-4-Hydroxy-L-proline	132.06551	2
Methionine	150.05832	1.5
Normetanephrine	166.086	1.3
Phenylalanine	166.08625	1.6
Proline	116.0706	1.6
Serine	106.04986	1.4
Threonine	120.06551	1.5
Trimethylamine-N-oxide	76.07569	0.8
Tryptophan	205.09715	1.6
Tyrosine	182.08116	1.7
Valine	118.08625	1.3
Nicotinamide	123.05528	1.3
Aspartic acid	134.04478	1.8
Nicotinic acid	124.0393	1.9
γ-Aminobutyric acid	104.0706	1
Aminoadipic acid	162.07608	1.6
Cytidine	244.09279	1.4
Citrulline	176.1029	1.7
Kynurenine	209.09206	1.6
Isoleucine	132.1019	1.3
Leucine	132.1019	1.4
Ornithine	133.09715	0.9
Lysine	147.1128	0.9
Glutamic acid	148.0604	1.6
Adenosine	268.104	1.7
Adenine	167.0896	1
METABOLITES_END
#END