#METABOLOMICS WORKBENCH nemes_20180725_143242_mwtab DATATRACK_ID:1465 STUDY_ID:ST001028 ANALYSIS_ID:AN001686 PROJECT_ID:PR000686
VERSION             	1
CREATED_ON             	July 30, 2018, 3:43 pm
#PROJECT
PR:PROJECT_TITLE                 	Trace: Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry
PR:PROJECT_TITLE                 	– A Case Study from Single-Cell Metabolomics
PR:PROJECT_TYPE                  	Study from Single-Cell Metabolomics
PR:PROJECT_SUMMARY               	The goal of this study was to validate the performance of a custom-written
PR:PROJECT_SUMMARY               	software tool, called Trace, for finding molecular features from ultrasensitive
PR:PROJECT_SUMMARY               	metabolomics experiments using high-resolution mass spectrometry. The software
PR:PROJECT_SUMMARY               	uses a trained neural network model to extract molecular features. As model for
PR:PROJECT_SUMMARY               	validation, we performed MS profiling of single identified cells from early
PR:PROJECT_SUMMARY               	developing embryos of the South African clawed frog (Xenopus laevis) using a
PR:PROJECT_SUMMARY               	custom-built capillary electrophoresis electrospray ionization platform coupled
PR:PROJECT_SUMMARY               	to a quadrupole time-of-flight mass spectrometer. The MS dataset from these
PR:PROJECT_SUMMARY               	measurements was manually curated for molecular features, and the resulting list
PR:PROJECT_SUMMARY               	of molecular features were used to test the robustness and accuracy of Trace at
PR:PROJECT_SUMMARY               	predicting molecular features that were detected from the single cells.
PR:INSTITUTE                     	University of Maryland
PR:DEPARTMENT                    	Department of Chemistry & Biochemistry
PR:LABORATORY                    	Nemes Laboratory
PR:LAST_NAME                     	Nemes
PR:FIRST_NAME                    	Peter
PR:ADDRESS                       	0107 Chemistry Building, 8051 Regents Dr, College Park, MD 20742
PR:EMAIL                         	nemes@umd.edu
PR:PHONE                         	301-405-0373
PR:FUNDING_SOURCE                	National Cancer Institute award no. 7R03CA211635
PR:PUBLICATIONS                  	Trace: Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry
PR:PUBLICATIONS                  	– A Case Study from Single-Cell Metabolomics
#STUDY
ST:STUDY_TITLE                   	Metabolic profiling of identified single cells in Xenopus laevis embryos
ST:STUDY_TYPE                    	Metabolic profiling of single cells
ST:STUDY_SUMMARY                 	Single D11 cells were identified in 16-cell embryos of Xenopus laevis.
ST:STUDY_SUMMARY                 	Metabolites were extracted, and the extracts were analyzed using a custom-built
ST:STUDY_SUMMARY                 	capillary electrophoresis electrospray ionization platform coupled to a
ST:STUDY_SUMMARY                 	quadrupole time-of-flight mass spectrometer. The resulting metadata was analyzed
ST:STUDY_SUMMARY                 	by Trace, a custom-design software, designed to extract molecular feautres from
ST:STUDY_SUMMARY                 	trace-sensitive metabolomics experiments. The results were validated against
ST:STUDY_SUMMARY                 	molecular features that were extracted by manual curation of the same raw mass
ST:STUDY_SUMMARY                 	spectrometer files.
ST:INSTITUTE                     	University of Maryland
ST:DEPARTMENT                    	Department of Chemistry & Biochemistry
ST:LABORATORY                    	Nemes Laboratory
ST:LAST_NAME                     	Nemes
ST:FIRST_NAME                    	Peter
ST:ADDRESS                       	0107 Chemistry Building, 8051 Regents Dr, College Park, MD 20742
ST:EMAIL                         	nemes@umd.edu
ST:PHONE                         	3014050373
ST:NUM_GROUPS                    	5 biological replicates (different cells from different embryos) + 1-to-3
ST:NUM_GROUPS                    	technical replicates (same extract analyzed multiple times)
ST:TOTAL_SUBJECTS                	5 different D11 cells were analyzed, each from a different embryo
ST:PUBLICATIONS                  	Trace: Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry
ST:PUBLICATIONS                  	– A Case Study from Single-Cell Metabolomics
#SUBJECT
SU:SUBJECT_TYPE                  	Other
SU:SUBJECT_SPECIES               	Xenopus laevis
SU:TAXONOMY_ID                   	8355
SU:AGE_OR_AGE_RANGE              	Embryos were obtained from natural mating of frogs (Nasco)
SU:WEIGHT_OR_WEIGHT_RANGE        	Sexually mature male and female frogs
SU:GENDER                        	Not applicable
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	2016-03-15_EP03 D11 cell-E2-2	D11cellE2T2	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-03-15_EP03 D11 cell-E2-1	D11cellE2T1	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-03-14_EP04 D11 cell-E1-1	D11cellE4T1	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-02-17_RM02 v23 D11	D11cellE1T1	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-06-01_EP05 u-cap E3-D11-1	D11cellE3T1	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-06-01_EP09 u-cap E3-D11-2	D11cellE3T2	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-06-01_EP11 u-cap E3-D11-3	D11cellE3T3	Embryo Type:WT	
SUBJECT_SAMPLE_FACTORS           	2016-06-02_EP04 u-cap E1-D11-1	D11cellE5T1	Embryo Type:WT	
#COLLECTION
CO:COLLECTION_SUMMARY            	Cells were identified based on morphology, pigmentation, and location in the
CO:COLLECTION_SUMMARY            	embryo in comparision to established cell-fate maps for 16-cell Xenopus laevis
CO:COLLECTION_SUMMARY            	embryos. A portion of the identified D11 cell was microaspirated using a
CO:COLLECTION_SUMMARY            	fabricated microcapillary.
CO:COLLECTION_PROTOCOL_ID        	Liu 2018 Metabolomics Workbench Protocol.pdf
CO:SAMPLE_TYPE                   	Embryonic cells
CO:COLLECTION_METHOD             	Microaspiration of cell content
CO:COLLECTION_FREQUENCY          	1 collection per cell
CO:COLLECTION_DURATION           	5 s for aspiration
CO:VOLUMEORAMOUNT_COLLECTED      	Ca. 10 nL per aspiration
CO:STORAGE_CONDITIONS            	-80℃
CO:COLLECTION_TUBE_TEMP          	chilled on ice
#TREATMENT
TR:TREATMENT_SUMMARY             	All protocols related to the handling and manipulation of animals were approved
TR:TREATMENT_SUMMARY             	by the Institutional Animal Care and Use Committee (IACUC) of the George
TR:TREATMENT_SUMMARY             	Washington University (Washington, DC) and the University of Maryland, College
TR:TREATMENT_SUMMARY             	Park (College Park, MD).
TR:TREATMENT_PROTOCOL_ID         	IACUC #A311 (George Washington University) and IACUC #R-DEC-17-57 (University of
TR:TREATMENT_PROTOCOL_ID         	Maryland, College Park)
TR:TREATMENT_PROTOCOL_FILENAME   	Liu 2018 Metabolomics Workbench Protocol.pdf
TR:TREATMENT_PROTOCOL_COMMENTS   	Embryos were dejellied using 2% cystine solution, cultured in 100% Steinberg's
TR:TREATMENT_PROTOCOL_COMMENTS   	solution (media), and used without further treatment.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Ca. 10 nL of cell content were aspirated from identified cells. The aspirated
SP:SAMPLEPREP_SUMMARY            	material was ejected into ~4 uL of aqueous mixture of 40% acetonitrile and 40%
SP:SAMPLEPREP_SUMMARY            	methanol to extract metabolites.
SP:SAMPLEPREP_PROTOCOL_ID        	Cold aqueous acetonitrile-methanold extraction
SP:SAMPLEPREP_PROTOCOL_FILENAME  	Liu 2018 Metabolomics Workbench Protocol.pdf
SP:PROCESSING_STORAGE_CONDITIONS 	On ice
SP:EXTRACTION_METHOD             	In cold aqueous mixture of 40% acetonitrile and 40% methanol.
SP:EXTRACT_STORAGE               	-80℃
SP:SAMPLE_RESUSPENSION           	None. The cells were stored in the extraction solution. The extract was not
SP:SAMPLE_RESUSPENSION           	dried or processed further.
SP:SUBCELLULAR_LOCATION          	Unknown
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	CE
CH:INSTRUMENT_NAME               	Custom built CE system
CH:COLUMN_NAME                   	Bare fused silica capillary
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
AN:LABORATORY_NAME               	Nemes Laboratory
AN:OPERATOR_NAME                 	Erika Portero
AN:SOFTWARE_VERSION              	Compass ver. 4.3
AN:ACQUISITION_DATE              	2016 Feb-to-June
AN:DATA_FORMAT                   	.d (Bruker)
#MS
MS:MS_COMMENTS                   	-
MS:INSTRUMENT_NAME               	Bruker Impact HD
MS:INSTRUMENT_TYPE               	QTOF
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:ACQUISITION_DATE              	2016 Feb-to-June
MS:CAPILLARY_TEMPERATURE         	Ca. 100 degC
MS:CAPILLARY_VOLTAGE             	-1700 V
MS:DRY_GAS_FLOW                  	2 L/min
MS:DRY_GAS_TEMP                  	100 degC
MS:ION_SOURCE_TEMPERATURE        	100 degC
MS:MASS_ACCURACY                 	<10 ppm
MS:RESOLUTION_SETTING            	~45000 FWHM
MS:SCANNING_CYCLE                	2 Hz spectral
MS:SCANNING_RANGE                	m/z 50-550
MS:MS_RESULTS_FILE               	ST001028_AN001686_Results.txt	UNITS:PeakAreaInCounts
#END