#METABOLOMICS WORKBENCH nlpm_20190524_101216 DATATRACK_ID:1728 STUDY_ID:ST001186 ANALYSIS_ID:AN001978 PROJECT_ID:PR000798
VERSION             	1
CREATED_ON             	June 2, 2019, 11:31 am
#PROJECT
PR:PROJECT_TITLE                 	A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of
PR:PROJECT_TITLE                 	Small Molecules
PR:PROJECT_SUMMARY               	High-throughput screening and gene signature analyses frequently identify lead
PR:PROJECT_SUMMARY               	therapeutic compounds with unknown modes of action (MoAs), and the resulting
PR:PROJECT_SUMMARY               	uncertainties can lead to the failure of clinical trials. We developed an
PR:PROJECT_SUMMARY               	approach for uncovering MoAs through an interpretable machine learning model of
PR:PROJECT_SUMMARY               	transcriptomics, epigenomics, metabolomics, and proteomics. Examining compounds
PR:PROJECT_SUMMARY               	with beneficial effects in models of Huntington’s Disease, we found common
PR:PROJECT_SUMMARY               	MoAs for compounds with unrelated structures, connectivity scores, and binding
PR:PROJECT_SUMMARY               	targets. The approach also predicted highly divergent MoAs for two FDA-approved
PR:PROJECT_SUMMARY               	antihistamines. We experimentally validated these effects, demonstrating that
PR:PROJECT_SUMMARY               	one antihistamine activates autophagy, while the other targets bioenergetics.
PR:PROJECT_SUMMARY               	The use of multiple omics was essential, as some MoAs were virtually
PR:PROJECT_SUMMARY               	undetectable in specific assays. Our approach does not require reference
PR:PROJECT_SUMMARY               	compounds or large databases of experimental data in related systems and thus
PR:PROJECT_SUMMARY               	can be applied to the study of agents with uncharacterized MoAs and to rare or
PR:PROJECT_SUMMARY               	understudied diseases.
PR:INSTITUTE                     	Massachusetts Institute of Technology
PR:LABORATORY                    	Fraenkel Lab
PR:LAST_NAME                     	Patel-Murray
PR:FIRST_NAME                    	Natasha
PR:ADDRESS                       	77 Massachusetts Avenue
PR:EMAIL                         	nlpm@mit.edu
PR:PHONE                         	6179490941
#STUDY
ST:STUDY_TITLE                   	Untargeted metabolomics on control and compound-treated STHdhQ111 cells and
ST:STUDY_TITLE                   	control STHdhQ7 cells
ST:STUDY_SUMMARY                 	Cells expressing mutant huntingtin were treated in triplicate with serum-free
ST:STUDY_SUMMARY                 	DMEM with vehicle (Q111SST) or serum-free DMEM with one of 14 protective
ST:STUDY_SUMMARY                 	compounds for 24 hours. Wild type cells were also treated with serum-free DMEM
ST:STUDY_SUMMARY                 	with vehicle (Q7SST) as an additional control for 24 hours. We examined the
ST:STUDY_SUMMARY                 	compounds' metabolomic effects on the cells using untargeted mass spectrometry,
ST:STUDY_SUMMARY                 	which measured lipids and polar metabolites.
ST:INSTITUTE                     	Massachusetts Institute of Technology
ST:LABORATORY                    	Fraenkel Lab
ST:LAST_NAME                     	Patel-Murray
ST:FIRST_NAME                    	Natasha
ST:ADDRESS                       	77 Massachusetts Avenue, Building 16 Room 244
ST:EMAIL                         	nlpm@mit.edu
ST:PHONE                         	6179490941
#SUBJECT
SU:SUBJECT_TYPE                  	Cultured cells
SU:SUBJECT_SPECIES               	Mus musculus
SU:TAXONOMY_ID                   	10090
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	-	Q7SST_1	Time:1 | Treatment:Q7SST_Control	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Q7SST_2	Time:2 | Treatment:Q7SST_Control	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Q7SST_3	Time:3 | Treatment:Q7SST_Control	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Q111SST_1	Time:1 | Treatment:Q111SST_Control	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Q111SST_2	Time:2 | Treatment:Q111SST_Control	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Q111SST_3	Time:3 | Treatment:Q111SST_Control	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Clio_1	Time:1 | Treatment:Clioquinol	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Clio_2	Time:2 | Treatment:Clioquinol	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Clio_3	Time:3 | Treatment:Clioquinol	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Cypro_1	Time:1 | Treatment:Cyproheptadine	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Cypro_2	Time:2 | Treatment:Cyproheptadine	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Cypro_3	Time:3 | Treatment:Cyproheptadine	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Cyst_1	Time:3 | Treatment:Cysteamine	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Cyst_2	Time:1 | Treatment:Cysteamine	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Cyst_3	Time:2 | Treatment:Cysteamine	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Dime_1	Time:2 | Treatment:Dimethyl fumarate	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Dime_2	Time:3 | Treatment:Dimethyl fumarate	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Dime_3	Time:1 | Treatment:Dimethyl fumarate	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	DKI_1	Time:1 | Treatment:Diacylglycerol kinase inhibitor II	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	DKI_2	Time:2 | Treatment:Diacylglycerol kinase inhibitor II	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	DKI_3	Time:3 | Treatment:Diacylglycerol kinase inhibitor II	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	DOP_1	Time:3 | Treatment:4-Deoxypyridoxine	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	DOP_2	Time:1 | Treatment:4-Deoxypyridoxine	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	DOP_3	Time:2 | Treatment:4-Deoxypyridoxine	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	FTYP_1	Time:2 | Treatment:Fingolimod phosphate	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	FTYP_2	Time:3 | Treatment:Fingolimod phosphate	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	FTYP_3	Time:1 | Treatment:Fingolimod phosphate	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Halo_1	Time:2 | Treatment:Haloperidol	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Halo_2	Time:3 | Treatment:Haloperidol	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Halo_3	Time:1 | Treatment:Haloperidol	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Lox_1	Time:3 | Treatment:Loxapine	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Lox_2	Time:1 | Treatment:Loxapine	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Lox_3	Time:2 | Treatment:Loxapine	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Mec_1	Time:2 | Treatment:Meclizine	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Mec_2	Time:3 | Treatment:Meclizine	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Mec_3	Time:1 | Treatment:Meclizine	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	NaB_1	Time:3 | Treatment:Sodium Butyrate	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	NaB_2	Time:1 | Treatment:Sodium Butyrate	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	NaB_3	Time:2 | Treatment:Sodium Butyrate	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Nico_1	Time:3 | Treatment:Nicotinamide	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Nico_2	Time:1 | Treatment:Nicotinamide	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Nico_3	Time:2 | Treatment:Nicotinamide	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Nort_1	Time:3 | Treatment:Nortriptyline	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Nort_2	Time:1 | Treatment:Nortriptyline	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Nort_3	Time:2 | Treatment:Nortriptyline	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Pizo_1	Time:2 | Treatment:Pizotifen	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Pizo_2	Time:3 | Treatment:Pizotifen	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Pizo_3	Time:1 | Treatment:Pizotifen	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	Seli_1	Time:1 | Treatment:Selisistat	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	Seli_2	Time:2 | Treatment:Selisistat	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	Seli_3	Time:3 | Treatment:Selisistat	Batch=3
SUBJECT_SAMPLE_FACTORS           	-	TSA_1	Time:2 | Treatment:Trichostatin A	Batch=1
SUBJECT_SAMPLE_FACTORS           	-	TSA_2	Time:3 | Treatment:Trichostatin A	Batch=2
SUBJECT_SAMPLE_FACTORS           	-	TSA_3	Time:1 | Treatment:Trichostatin A	Batch=3
#COLLECTION
CO:COLLECTION_SUMMARY            	STHdhQ111 cells were grown on 10cm dishes in triplicate at a seeding density of
CO:COLLECTION_SUMMARY            	1.06 million cells/well. Compound- or vehicle-treated cells were washed with
CO:COLLECTION_SUMMARY            	cold 0.9% NaCl. To each 10cm dish of cells, 660uL LC/MS-grade methanol
CO:COLLECTION_SUMMARY            	containing internal standards and 330uL LC/MS-grade water were added. Cells were
CO:COLLECTION_SUMMARY            	scraped and transferred to Eppendorf tubes, where 450uL chloroform was added.
CO:COLLECTION_SUMMARY            	Samples were vortexed at maximum speed (20,817 rcf) for 10 minutes at 4°C. Each
CO:COLLECTION_SUMMARY            	layer was collected separately, avoiding the precipitate at the interface of the
CO:COLLECTION_SUMMARY            	two layers, and dried by speedvac.
CO:SAMPLE_TYPE                   	Cultured cells
#TREATMENT
TR:TREATMENT_SUMMARY             	STHdh cells were incubated in serum-free medium with a compound or vehicle
TR:TREATMENT_SUMMARY             	control for 24 hours.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	For lipid profiling, cells were resuspended in 50uL 60/35/5
SP:SAMPLEPREP_SUMMARY            	acetonitrile/isopropanol/water (v/v/v) and 5uL was injected for LC/MS analysis.
SP:SAMPLEPREP_SUMMARY            	For polar metabolite profiling, cells were resuspended in 100uL water and 2uL
SP:SAMPLEPREP_SUMMARY            	was injected for LC/MS analysis.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	HILIC
CH:INSTRUMENT_NAME               	Thermo Dionex Ultimate 3000
CH:COLUMN_NAME                   	EMD Millipore ZIC-HILIC (100 x 2.1 mm, 3.5 um)
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
AN:LABORATORY_NAME               	Whitehead Institute Metabolite Profiling Core Facility
#MS
MS:INSTRUMENT_NAME               	Thermo Q Exactive Orbitrap
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	NEGATIVE
MS:MS_COMMENTS                   	For polar metabolite profiling, cells were resuspended in 100uL water and 2uL
MS:MS_COMMENTS                   	was injected for LC/MS analysis. Please see Birsoy et al. and Chen at al. for a
MS:MS_COMMENTS                   	detailed description of the LC/MS analysis (Chen et al, 2016; Birsoy et al,
MS:MS_COMMENTS                   	2015). Untargeted analysis was performed using Progenesis CoMet (Nonlinear
MS:MS_COMMENTS                   	Dynamics) using the default settings. Features were filtered based on replicate
MS:MS_COMMENTS                   	injections and a dilution series of a pooled sample prepared by mixing equal
MS:MS_COMMENTS                   	aliquots of the biological samples. Specifically, the filtering criteria were CV
MS:MS_COMMENTS                   	< 0.4 across the four replicate injections and R > 0.9 across a four-point
MS:MS_COMMENTS                   	dilution series (comprising 0.1X, 0.3X and 1X concentrations, and a
MS:MS_COMMENTS                   	double-volume injection). Features that were not lowest according to the
MS:MS_COMMENTS                   	Progenesis quantification in the blank water injection samples were discarded.
MS:MS_RESULTS_FILE               	ST001186_AN001978_Results.txt	UNITS:Peak Area	Has m/z:Yes	Has RT:Yes	RT units:Minutes
#END