#METABOLOMICS WORKBENCH lincoln010_20210115_071855 DATATRACK_ID:2399 STUDY_ID:ST001670 ANALYSIS_ID:AN002725
VERSION                          	1
CREATED_ON                       	03-03-2022
#PROJECT
PR:PROJECT_TITLE                 	Reinforcing one-carbon metabolism via folic acid/Folr1 promotes beta-cell
PR:PROJECT_TITLE                 	formation
PR:PROJECT_SUMMARY               	Diabetes can be caused by an insufficient beta-cell mass. Here, we performed a
PR:PROJECT_SUMMARY               	genetic screen in a zebrafish model with beta-cell loss to identify pathways
PR:PROJECT_SUMMARY               	promoting beta-cell regeneration. We found that both folate receptor 1 (folr1)
PR:PROJECT_SUMMARY               	overexpression and treatment with folate intermediates, i.e. tetrahydrofolic
PR:PROJECT_SUMMARY               	acid (THF) or folinic acid stimulated beta-cell differentiation in zebrafish.
PR:PROJECT_SUMMARY               	Treatment with these folate intermediates also stimulated beta-cell
PR:PROJECT_SUMMARY               	differentiation in neonatal pig islet cultures, showing the effect could be
PR:PROJECT_SUMMARY               	translated to a mammalian system. In both zebrafish and neonatal pig islets, the
PR:PROJECT_SUMMARY               	increased beta-cell differentiation originated from ductal cells.
PR:PROJECT_SUMMARY               	Mechanistically, comparative metabolomics analyses of zebrafish in the basal
PR:PROJECT_SUMMARY               	state vs following ?-cell ablation and in un-treated vs folinic acid-treated
PR:PROJECT_SUMMARY               	zebrafish indicated beta-cell regeneration could be attributed to changes in the
PR:PROJECT_SUMMARY               	pyrimidine, carnitine and serine pathways. Overall, our results suggest
PR:PROJECT_SUMMARY               	evolutionary conserved and previously unknown roles of folic acid and one-carbon
PR:PROJECT_SUMMARY               	metabolism in the generation of beta-cell .
PR:INSTITUTE                     	North Carolina State University
PR:DEPARTMENT                    	Molecular and Structural Biochemistry
PR:LAST_NAME                     	Duan
PR:FIRST_NAME                    	Likun
PR:ADDRESS                       	120 W Broughton Dr.
PR:EMAIL                         	lduan2@ncsu.edu
PR:PHONE                         	9195939853
PR:DOI                           	http://dx.doi.org/10.21228/M80Q4N
#STUDY
ST:STUDY_TITLE                   	Metabolomics characterization of zebrafish larvae
ST:STUDY_TYPE                    	MS analysis
ST:STUDY_SUMMARY                 	Four different treatment groups were used for metabolite characterization: 5 dpf
ST:STUDY_SUMMARY                 	larvae with/without beta-cell ablation and with/without folinic acid treatment.
ST:INSTITUTE                     	North Carolina State University
ST:DEPARTMENT                    	Molecular and Structural Biochemistry
ST:LAST_NAME                     	Duan
ST:FIRST_NAME                    	Likun
ST:ADDRESS                       	120 W Broughton Dr.
ST:EMAIL                         	lduan2@ncsu.edu
ST:PHONE                         	9195939853
ST:SUBMIT_DATE                   	2021-01-15
#SUBJECT
SU:SUBJECT_TYPE                  	Fish
SU:SUBJECT_SPECIES               	Danio rerio
SU:TAXONOMY_ID                   	7955
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	NA	AA 02030 metabo control 001	Treatment:control	RAW_FILE_NAME=AA 02030 metabo control 001; sample name(backup)=ND+MTZ-control A2
SUBJECT_SAMPLE_FACTORS           	NA	AA 02030 metabo control 002	Treatment:control	RAW_FILE_NAME=AA 02030 metabo control 002; sample name(backup)=ND+MTZ-control A3
SUBJECT_SAMPLE_FACTORS           	NA	AA 02030 metabo control 003	Treatment:control	RAW_FILE_NAME=AA 02030 metabo control 003; sample name(backup)=ND+MTZ-control A4
SUBJECT_SAMPLE_FACTORS           	NA	AA 02030 metabo control 004	Treatment:control	RAW_FILE_NAME=AA 02030 metabo control 004; sample name(backup)=ND+MTZ-control A5
SUBJECT_SAMPLE_FACTORS           	NA	AA 02030 metabo control 005	Treatment:control	RAW_FILE_NAME=AA 02030 metabo control 005; sample name(backup)=ND+MTZ-control A6
SUBJECT_SAMPLE_FACTORS           	Regulation	CC 02030 metabo reg control 001	Treatment:control	RAW_FILE_NAME=CC 02030 metabo reg control  001; sample name(backup)=Reg+MTZ-control C1
SUBJECT_SAMPLE_FACTORS           	Regulation	CC 02030 metabo reg control 002	Treatment:control	RAW_FILE_NAME=CC 02030 metabo reg control  002; sample name(backup)=Reg+MTZ-control C2
SUBJECT_SAMPLE_FACTORS           	Regulation	CC 02030 metabo reg control 003	Treatment:control	RAW_FILE_NAME=CC 02030 metabo reg control  003; sample name(backup)=Reg+MTZ-control C3
SUBJECT_SAMPLE_FACTORS           	Regulation	CC 02030 metabo reg control 004	Treatment:control	RAW_FILE_NAME=CC 02030 metabo reg control  004; sample name(backup)=Reg+MTZ-control C4
SUBJECT_SAMPLE_FACTORS           	Regulation	CC 02030 metabo reg control 005	Treatment:control	RAW_FILE_NAME=CC 02030 metabo reg control  005; sample name(backup)=Reg+MTZ-control C5
SUBJECT_SAMPLE_FACTORS           	Regulation	CC 02030 metabo reg control 006	Treatment:control	RAW_FILE_NAME=CC 02030 metabo reg control  006; sample name(backup)=Reg+MTZ-control C6
SUBJECT_SAMPLE_FACTORS           	NA	BB 02030 metabo FA 001	Treatment:Folinic acid	RAW_FILE_NAME=BB 02030 metabo FA 001; sample name(backup)=ND+MTZ-Folinic acid B2
SUBJECT_SAMPLE_FACTORS           	NA	BB 02030 metabo FA 002	Treatment:Folinic acid	RAW_FILE_NAME=BB 02030 metabo FA 002; sample name(backup)=ND+MTZ-Folinic acid B3
SUBJECT_SAMPLE_FACTORS           	NA	BB 02030 metabo FA 003	Treatment:Folinic acid	RAW_FILE_NAME=BB 02030 metabo FA 003; sample name(backup)=ND+MTZ-Folinic acid B4
SUBJECT_SAMPLE_FACTORS           	NA	BB 02030 metabo FA 004	Treatment:Folinic acid	RAW_FILE_NAME=BB 02030 metabo FA 004; sample name(backup)=ND+MTZ-Folinic acid B5
SUBJECT_SAMPLE_FACTORS           	NA	BB 02030 metabo FA 005	Treatment:Folinic acid	RAW_FILE_NAME=BB 02030 metabo FA 005; sample name(backup)=ND+MTZ-Folinic acid B6
SUBJECT_SAMPLE_FACTORS           	Regulation	DD 02030 metabo reg FA 001	Treatment:Folinic acid	RAW_FILE_NAME=DD 02030 metabo reg FA 001; sample name(backup)=Reg+MTZ-Folinic acid D2
SUBJECT_SAMPLE_FACTORS           	Regulation	DD 02030 metabo reg FA 002	Treatment:Folinic acid	RAW_FILE_NAME=DD 02030 metabo reg FA 002; sample name(backup)=Reg+MTZ-Folinic acid D3
SUBJECT_SAMPLE_FACTORS           	Regulation	DD 02030 metabo reg FA 003	Treatment:Folinic acid	RAW_FILE_NAME=DD 02030 metabo reg FA 003; sample name(backup)=Reg+MTZ-Folinic acid D4
SUBJECT_SAMPLE_FACTORS           	Regulation	DD 02030 metabo reg FA 004	Treatment:Folinic acid	RAW_FILE_NAME=DD 02030 metabo reg FA 004; sample name(backup)=Reg+MTZ-Folinic acid D5
SUBJECT_SAMPLE_FACTORS           	Regulation	DD 02030 metabo reg FA 005	Treatment:Folinic acid	RAW_FILE_NAME=DD 02030 metabo reg FA 005; sample name(backup)=Reg+MTZ-Folinic acid D6
#COLLECTION
CO:COLLECTION_SUMMARY            	Four different treatment groups were used for metabolite characterization: 5 dpf
CO:COLLECTION_SUMMARY            	larvae with/without beta-cell ablation and with/without folinic acid treatment.
CO:COLLECTION_SUMMARY            	Please refer to the publication for more details.
CO:SAMPLE_TYPE                   	Larvae
#TREATMENT
TR:TREATMENT_SUMMARY             	Four different treatment groups were used for metabolite characterization: 5 dpf
TR:TREATMENT_SUMMARY             	larvae with/without beta-cell ablation and with/without folinic acid treatment.
TR:TREATMENT_SUMMARY             	Please refer to the publication for more details.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Four different treatment groups were used for metabolite characterization: 5 dpf
SP:SAMPLEPREP_SUMMARY            	larvae with/without beta-cell ablation and with/without folinic acid treatment.
SP:SAMPLEPREP_SUMMARY            	Metabolites were extracted from 5 pooled larvae, and 6 replicates were used per
SP:SAMPLEPREP_SUMMARY            	condition. Metabolites were extracted as described previously36. Some of the
SP:SAMPLEPREP_SUMMARY            	replicates were used to optimize the analysis of polar metabolites and folate
SP:SAMPLEPREP_SUMMARY            	derivatives using Vanquish UHPLC (Thermo Fisher Scientific). Please refer to the
SP:SAMPLEPREP_SUMMARY            	publication for more details.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	For this polar metabolite analysis, a hydrophilic interaction chromatography
CH:CHROMATOGRAPHY_SUMMARY        	method (HILIC) with an Xbridge amide column (100 x 2.1 mm i.d., 3.5 µm; Waters)
CH:CHROMATOGRAPHY_SUMMARY        	was used for compound separation at 25 °C. Mobile phase A: water with 5 mM
CH:CHROMATOGRAPHY_SUMMARY        	ammonium acetate (pH 6.8), and mobile phase B: 100 % acetonitrile. Linear
CH:CHROMATOGRAPHY_SUMMARY        	gradient was: 0 min, 85% B; 1.5 min, 85% B; 5.5 min, 35% B; 6.9 min, 35% B; 10.5
CH:CHROMATOGRAPHY_SUMMARY        	min, 35% B; 10.6 min, 10% B; 12.5 min, 10% B; 13.5 min, 85% B; 17.9 min, 85% B;
CH:CHROMATOGRAPHY_SUMMARY        	18 min, 85% B; 20 min, 85% B. The flow rate was: 0-5.5 min, 0.11 ml/min;
CH:CHROMATOGRAPHY_SUMMARY        	6.9-10.5 min, 0.13 ml/min; 10.6-17.9 min, 0.25 ml/min; 18-20 min, 0.11 ml/min.
CH:INSTRUMENT_NAME               	Vanquish UHPLC (Thermo Fisher Scientific).
CH:COLUMN_NAME                   	Waters Xbridge amide HILIC (100 x 2.1 mm i.d., 3.5 um)
CH:CHROMATOGRAPHY_TYPE           	HILIC
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Thermo Orbitrap Exploris 480
MS:INSTRUMENT_TYPE               	Ion trap
MS:MS_TYPE                       	ESI
MS:MS_COMMENTS                   	Xcalibur 4.4 from Thermo Scientific for data acquisition and we use Sieve 2.2
MS:MS_COMMENTS                   	for chromatographic alignment and peak integration.To analyze polar metabolites,
MS:MS_COMMENTS                   	the mass spectrometer was equipped with a HESI probe and operated in the
MS:MS_COMMENTS                   	positive/negative switching mode. The relevant parameters were as listed:
MS:MS_COMMENTS                   	vaporizer temperature, 350 °C; ion transfer tube temperature, 300 °C; sheath
MS:MS_COMMENTS                   	gas, 35; auxiliary gas, 7; sweep gas, 1; spray voltage, 3.5 kV for positive mode
MS:MS_COMMENTS                   	and 2.5 kV for negative mode; RF-lens (%), 30. The resolution was set at 60,000
MS:MS_COMMENTS                   	(at m/z 200). Automatic maximum injection time (max IT) and automated gain
MS:MS_COMMENTS                   	control (AGC) were used.
MS:ION_MODE                      	UNSPECIFIED
#MS_METABOLITE_DATA
MS_METABOLITE_DATA:UNITS         	Peak area
MS_METABOLITE_DATA_START
Samples	AA 02030 metabo control 001	AA 02030 metabo control 002	AA 02030 metabo control 003	AA 02030 metabo control 004	AA 02030 metabo control 005	CC 02030 metabo reg control 001	CC 02030 metabo reg control 002	CC 02030 metabo reg control 003	CC 02030 metabo reg control 004	CC 02030 metabo reg control 005	CC 02030 metabo reg control 006	BB 02030 metabo FA 001	BB 02030 metabo FA 002	BB 02030 metabo FA 003	BB 02030 metabo FA 004	BB 02030 metabo FA 005	DD 02030 metabo reg FA 001	DD 02030 metabo reg FA 002	DD 02030 metabo reg FA 003	DD 02030 metabo reg FA 004	DD 02030 metabo reg FA 005
Factors	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:control	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	Treatment:Folinic acid	
2-Hydroxyglutarate	6690079.0000	4253612.0000	5116746.0000	4736280.0000	3341251.0000	5361647.0000	3208305.0000	4721407.0000	4038608.0000	4226186.0000	4495506.0000	5041303.0000	4542172.0000	4430560.0000	4750040.0000	2679111.0000	5666072.0000	4615401.0000	4550775.0000	4578641.0000	3608272.0000
2-Methylcitric acid	2140049.0000	2122360.0000	1715945.0000	2019078.0000	1395908.0000	1530103.0000	1547196.0000	1705737.0000	1932343.0000	1647738.0000	1848029.0000	1664141.0000	1582984.0000	1780491.0000	1776569.0000	1389072.0000	2200368.0000	1933632.0000	1520456.0000	1658518.0000	1232244.0000
2-METHYLGLUTARATE	1549880.0000	1253381.0000	998834.0000	2503415.0000	1033425.0000	1424453.0000	1586007.0000	1273770.0000	1153241.0000	1264712.0000	1235367.0000	1233084.0000	1443467.0000	1448658.0000	1122395.0000	627238.0000	1171838.0000	1202090.0000	1269458.0000	1082232.0000	1122431.0000
2-PHOSPHOGLYCERATE/3-PHOSPHOGLYCERATE	7645229.0000	8181792.0000	7309472.0000	7496042.0000	4542252.0000	6119082.0000	6095593.0000	7819420.0000	6287776.0000	7839866.0000	7263630.0000	6636571.0000	6783830.0000	7656576.0000	7736440.0000	4485343.0000	6189936.0000	8154675.0000	6567473.0000	6230443.0000	4161181.0000
MS_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name	pubchem_id	inchi_key	kegg_id	other_id	other_id_type	ri	ri_type	moverz_quant	
2-Hydroxyglutarate									
2-Methylcitric acid									
2-METHYLGLUTARATE									
2-PHOSPHOGLYCERATE/3-PHOSPHOGLYCERATE									
METABOLITES_END
#END