#METABOLOMICS WORKBENCH dagaul_20220106_071715 DATATRACK_ID:3023 STUDY_ID:ST002052 ANALYSIS_ID:AN003339 PROJECT_ID:PR001298
VERSION             	1
CREATED_ON             	January 6, 2022, 12:26 pm
#PROJECT
PR:PROJECT_TITLE                 	Multi-omic attributes and unbiased computational modeling for the prediction of
PR:PROJECT_TITLE                 	immunomodulatory potency of mesenchymal stromal cells
PR:PROJECT_SUMMARY               	Mesenchymal stromal cells (MSCs) are “living medicines” that continue to be
PR:PROJECT_SUMMARY               	evaluated in clinical trials to treat various clinical indications, yet remain
PR:PROJECT_SUMMARY               	unapproved. Because these cell therapies can be harvested from different tissue
PR:PROJECT_SUMMARY               	sources, are manufactured ex vivo, and are composed of highly responsive cells
PR:PROJECT_SUMMARY               	from donors of varying demographics, significant complexities limit the current
PR:PROJECT_SUMMARY               	understanding and advancements to clinical practice. However, we propose a model
PR:PROJECT_SUMMARY               	workflow used to overcome challenges by identifying multi-omic features that can
PR:PROJECT_SUMMARY               	serve as predictive therapeutic outcomes of MSCs. Here, features were identified
PR:PROJECT_SUMMARY               	using unbiased symbolic regression and machine learning models that correlated
PR:PROJECT_SUMMARY               	multi-omic datasets to results from in vitro functional assays based on putative
PR:PROJECT_SUMMARY               	mechanisms of action of MSCs. Together, this study provides a compelling
PR:PROJECT_SUMMARY               	framework for achieving the identification of candidate CQAs specific to MSCs
PR:PROJECT_SUMMARY               	that may help overcome current challenges, advancing MSCs to broad clinical use.
PR:PROJECT_SUMMARY               	This upload contains the metabolomic dataset which were correlated with quality
PR:PROJECT_SUMMARY               	metrics, such as potency.
PR:INSTITUTE                     	Georgia Institute of Technology
PR:LAST_NAME                     	Gaul
PR:FIRST_NAME                    	David
PR:ADDRESS                       	311 Ferst Drive Atlanta, GA 30332
PR:EMAIL                         	david.gaul@chemistry.gatech.edu
PR:PHONE                         	4048943870
#STUDY
ST:STUDY_TITLE                   	Multi-omic Attributes and Unbiased Computational Modeling for the Prediction of
ST:STUDY_TITLE                   	Immunomodulatory Potency of Mesenchymal Stromal Cells
ST:STUDY_SUMMARY                 	Mesenchymal stromal cells (MSCs) are “living medicines” that continue to be
ST:STUDY_SUMMARY                 	evaluated in clinical trials to treat various clinical indications, yet remain
ST:STUDY_SUMMARY                 	unapproved. Because these cell therapies can be harvested from different tissue
ST:STUDY_SUMMARY                 	sources, are manufactured ex vivo, and are composed of highly responsive cells
ST:STUDY_SUMMARY                 	from donors of varying demographics, significant complexities limit the current
ST:STUDY_SUMMARY                 	understanding and advancements to clinical practice. However, we propose a model
ST:STUDY_SUMMARY                 	workflow used to overcome challenges by identifying multi-omic features that can
ST:STUDY_SUMMARY                 	serve as predictive therapeutic outcomes of MSCs. Here, features were identified
ST:STUDY_SUMMARY                 	using unbiased symbolic regression and machine learning models that correlated
ST:STUDY_SUMMARY                 	multi-omic datasets to results from in vitro functional assays based on putative
ST:STUDY_SUMMARY                 	mechanisms of action of MSCs. Together, this study provides a compelling
ST:STUDY_SUMMARY                 	framework for achieving the identification of candidate CQAs specific to MSCs
ST:STUDY_SUMMARY                 	that may help overcome current challenges, advancing MSCs to broad clinical use.
ST:STUDY_SUMMARY                 	This upload contain the metabolomic datasets, which were correlated with quality
ST:STUDY_SUMMARY                 	metrics, such as potency.
ST:INSTITUTE                     	Georgia Institute of Technology
ST:LABORATORY                    	System Mass Spectrometry Core
ST:LAST_NAME                     	Gaul
ST:FIRST_NAME                    	David
ST:ADDRESS                       	311 Ferst Drive Atlanta, GA 30332
ST:EMAIL                         	david.gaul@chemistry.gatech.edu
ST:PHONE                         	4048943870
#SUBJECT
SU:SUBJECT_TYPE                  	Cultured cells
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
#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           	-	Blank01	Factor:NA	sample_type=QC_Blank; RAW_FILE_NAME=Blank01
SUBJECT_SAMPLE_FACTORS           	-	Blank02	Factor:NA	sample_type=QC_Blank; RAW_FILE_NAME=Blank02
SUBJECT_SAMPLE_FACTORS           	-	Blank04	Factor:NA	sample_type=QC_Blank; RAW_FILE_NAME=Blank04
SUBJECT_SAMPLE_FACTORS           	-	Blank05	Factor:NA	sample_type=QC_Blank; RAW_FILE_NAME=Blank05
SUBJECT_SAMPLE_FACTORS           	-	QC01	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC01
SUBJECT_SAMPLE_FACTORS           	-	QC02	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC02
SUBJECT_SAMPLE_FACTORS           	-	QC03	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC03
SUBJECT_SAMPLE_FACTORS           	-	QC04	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC04
SUBJECT_SAMPLE_FACTORS           	-	QC05	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC05
SUBJECT_SAMPLE_FACTORS           	-	QC06	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC06
SUBJECT_SAMPLE_FACTORS           	-	QC07	Factor:NA	sample_type=QC_Pooled; RAW_FILE_NAME=QC07
SUBJECT_SAMPLE_FACTORS           	-	BM1_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample01_RB139_OOT
SUBJECT_SAMPLE_FACTORS           	-	BM1_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample02_RB139_OOT
SUBJECT_SAMPLE_FACTORS           	-	BM2_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample03_RB168
SUBJECT_SAMPLE_FACTORS           	-	BM2_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample04_RB168
SUBJECT_SAMPLE_FACTORS           	-	BM2_3	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample05_RB168
SUBJECT_SAMPLE_FACTORS           	-	BM3_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample06_RB171
SUBJECT_SAMPLE_FACTORS           	-	BM3_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample07_RB171
SUBJECT_SAMPLE_FACTORS           	-	BM3_3	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample08_RB171
SUBJECT_SAMPLE_FACTORS           	-	BM4_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample09_RB174
SUBJECT_SAMPLE_FACTORS           	-	BM4_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample10_RB174
SUBJECT_SAMPLE_FACTORS           	-	BM4_3	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample11_RB174
SUBJECT_SAMPLE_FACTORS           	-	BM5_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample12_RB177
SUBJECT_SAMPLE_FACTORS           	-	BM5_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample13_RB177
SUBJECT_SAMPLE_FACTORS           	-	BM5_3	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample14_RB177
SUBJECT_SAMPLE_FACTORS           	-	BM6_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample15_RB179
SUBJECT_SAMPLE_FACTORS           	-	BM6_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample16_RB179
SUBJECT_SAMPLE_FACTORS           	-	BM6_3	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample17_RB179
SUBJECT_SAMPLE_FACTORS           	-	BM7_1	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample18_RB183
SUBJECT_SAMPLE_FACTORS           	-	BM7_2	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample19_RB183
SUBJECT_SAMPLE_FACTORS           	-	BM7_3	Factor:MSC_BoneMarrow	sample_type=Sample; RAW_FILE_NAME=Sample20_RB183
SUBJECT_SAMPLE_FACTORS           	-	CT1	Factor:MSC_CordTissue	sample_type=Sample; RAW_FILE_NAME=Sample26_GMP075EXP
SUBJECT_SAMPLE_FACTORS           	-	CT2	Factor:MSC_CordTissue	sample_type=Sample; RAW_FILE_NAME=Sample27_GMP088EXP
SUBJECT_SAMPLE_FACTORS           	-	CT3	Factor:MSC_CordTissue	sample_type=Sample; RAW_FILE_NAME=Sample28_GMP087EXP
#COLLECTION
CO:COLLECTION_SUMMARY            	Bone Marrow derived Mesenchymal Stromal Cells were purchased from RoosterBio,
CO:COLLECTION_SUMMARY            	and the cord tissue derived Mesenchymal Stromal Cells were from Duke University
CO:COLLECTION_SUMMARY            	School of Medicine.
CO:SAMPLE_TYPE                   	Stem cells
#TREATMENT
TR:TREATMENT_SUMMARY             	BM-MSCs were expanded in either regular media or xeno-free media, while the
TR:TREATMENT_SUMMARY             	CT-MSCs were expanded in xeno-free media. Harvested cells were resuspended in
TR:TREATMENT_SUMMARY             	CryoStor CS5.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Metabolites were extracted using a modified bligh-Dyer on 1 million MSC pellet
SP:SAMPLEPREP_SUMMARY            	with bead homogenization.The Aqueous layer was dried, reconstituted with 80%
SP:SAMPLEPREP_SUMMARY            	MeOH with internal standards prior to analysis. the organic layer was also
SP:SAMPLEPREP_SUMMARY            	dried, reconstituted with IPA with internal standards prior to analysis
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Thermo Vanquish
CH:COLUMN_NAME                   	Thermo Accucore C30 (150 x 2.1 mm, 2.6um)
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Thermo Q Exactive HF hybrid Orbitrap
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	Compound Discoverer used to process
MS:MS_RESULTS_FILE               	ST002052_AN003339_Results.txt	UNITS:peak area	Has m/z:Neutral masses	Has RT:Yes	RT units:Minutes
#END