#METABOLOMICS WORKBENCH ly259_20220212_185155 DATATRACK_ID:3080 STUDY_ID:ST002085 ANALYSIS_ID:AN003402 PROJECT_ID:PR001324
VERSION             	1
CREATED_ON             	February 15, 2022, 5:44 am
#PROJECT
PR:PROJECT_TITLE                 	Proline metabolism in T cells
PR:PROJECT_SUMMARY               	T cell metabolites detection after PRODH2 overexpression.
PR:INSTITUTE                     	Yale University
PR:LAST_NAME                     	Ye
PR:FIRST_NAME                    	Lupeng
PR:ADDRESS                       	850 West campus drive
PR:EMAIL                         	lupeng.ye@yale.edu
PR:PHONE                         	2035436568
#STUDY
ST:STUDY_TITLE                   	A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline
ST:STUDY_TITLE                   	metabolism as a means to enhance CAR-T therapy(Part 1)
ST:STUDY_SUMMARY                 	Chimeric antigen receptor (CAR)-T cell-based immunotherapy for cancer and
ST:STUDY_SUMMARY                 	immunological diseases has made great strides, but it still faces multiple
ST:STUDY_SUMMARY                 	hurdles. Finding the right molecular targets to engineer T cells toward a
ST:STUDY_SUMMARY                 	desired function has broad implications for the armamentarium of T cell-centered
ST:STUDY_SUMMARY                 	therapies. Here, we developed a dead-guide RNA (dgRNA)-based CRISPR activation
ST:STUDY_SUMMARY                 	screen in primary CD8+ T cells, and identified gain-of-function (GOF) targets
ST:STUDY_SUMMARY                 	for CAR-T engineering. Targeted knock-in or overexpression of a lead target,
ST:STUDY_SUMMARY                 	PRODH2, enhanced CAR-T-based killing and in vivo efficacy in multiple cancer
ST:STUDY_SUMMARY                 	models. Transcriptomics and metabolomics in CAR-T cells revealed that augmenting
ST:STUDY_SUMMARY                 	PRODH2 expression re-shaped broad and distinct gene expression and metabolic
ST:STUDY_SUMMARY                 	programs. Mitochondrial, metabolic and immunological analyses showed that PRODH2
ST:STUDY_SUMMARY                 	engineering enhances the metabolic and immune functions of CAR-T cells against
ST:STUDY_SUMMARY                 	cancer. Together these findings provide a system for identification of GOF
ST:STUDY_SUMMARY                 	immune boosters, and demonstrate PRODH2 as a target to enhance CAR-T efficacy.
ST:INSTITUTE                     	Yale University
ST:LAST_NAME                     	Ye
ST:FIRST_NAME                    	Lupeng
ST:ADDRESS                       	850 West campus drive
ST:EMAIL                         	lupeng.ye@yale.edu
ST:PHONE                         	2035436568
#SUBJECT
SU:SUBJECT_TYPE                  	Cultured cells
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
#FACTORS
#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           	-	20181221_hProdh2_OE_1_M62	Genotype:PRODH2_OE | Treatment:PRODH2	RAW_FILE_NAME=20181221_hProdh2_OE_1_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_2_M62	Genotype:PRODH2_OE | Treatment:PRODH2	RAW_FILE_NAME=20181221_hProdh2_OE_2_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_3_M62	Genotype:PRODH2_OE | Treatment:PRODH2	RAW_FILE_NAME=20181221_hProdh2_OE_3_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_4_M62	Genotype:PRODH2_OE | Treatment:PRODH2	RAW_FILE_NAME=20181221_hProdh2_OE_4_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_5_M62	Genotype:PRODH2_OE | Treatment:PRODH2	RAW_FILE_NAME=20181221_hProdh2_OE_5_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_Vector1_M62	Genotype:Vector_OE | Treatment:Control	RAW_FILE_NAME=20181221_hProdh2_OE_Vector1_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_Vector2_M62	Genotype:Vector_OE | Treatment:Control	RAW_FILE_NAME=20181221_hProdh2_OE_Vector2_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_Vector3_M62	Genotype:Vector_OE | Treatment:Control	RAW_FILE_NAME=20181221_hProdh2_OE_Vector3_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_Vector4_M62	Genotype:Vector_OE | Treatment:Control	RAW_FILE_NAME=20181221_hProdh2_OE_Vector4_M62.d
SUBJECT_SAMPLE_FACTORS           	-	20181221_hProdh2_OE_Vector5_M62	Genotype:Vector_OE | Treatment:Control	RAW_FILE_NAME=20181221_hProdh2_OE_Vector5_M62.d
#COLLECTION
CO:COLLECTION_SUMMARY            	cell were counted, washed twice with PBS then used for metabolite extraction.
CO:SAMPLE_TYPE                   	T-cells
#TREATMENT
TR:TREATMENT_SUMMARY             	T cells were transduced with lentivirus, then collected for metabolite
TR:TREATMENT_SUMMARY             	extraction.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	After normalizing cell counts, 800 μL of 80 % (vol / vol) HPLC-grade methanol
SP:SAMPLEPREP_SUMMARY            	(Sigma) (precooled to -80 oC on dry ice) was added to fresh cells in a 1.5-mL
SP:SAMPLEPREP_SUMMARY            	microcentrifuge tube, then tubes were put on dry ice for 30 minutes. The tubes
SP:SAMPLEPREP_SUMMARY            	were then incubated on ice for 20 minutes and centrifuged at 15,000 x g for 15
SP:SAMPLEPREP_SUMMARY            	min at 4 oC to pellet the cell debris. The metabolite-containing supernatant was
SP:SAMPLEPREP_SUMMARY            	transferred to a new 1.5-mL microcentrifuge tube on dry ice. Metabolite
SP:SAMPLEPREP_SUMMARY            	extraction was repeated with 400 μL of 80 % (vol / vol) HPLC-grade methanol.
SP:SAMPLEPREP_SUMMARY            	The cell lysate / methanol mixtures were dried by Speedvac at room temperature.
SP:SAMPLEPREP_SUMMARY            	The metabolites were dissolved again with 80 % (vol / vol) methanol, then
SP:SAMPLEPREP_SUMMARY            	centrifuged at 18,000 x g for 10 min to remove any particulates, and the
SP:SAMPLEPREP_SUMMARY            	metabolite mixtures were stored at -80 oC until LC-MS analysis.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	HILIC
CH:INSTRUMENT_NAME               	Agilent 6490
CH:COLUMN_NAME                   	Phenomenex Kinetex C18 (150 x 2.1mm, 2.6 um)
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Agilent 6490 QQQ
MS:INSTRUMENT_TYPE               	Triple quadrupole
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	Two metabolomics strategies were adopted, i.e. untargeted metabolomics (aiming
MS:MS_COMMENTS                   	to unbiasedly detect all detectable metabolites) and targeted approaches (aiming
MS:MS_COMMENTS                   	to detect specifically defined metabolites, such as related metabolites in the
MS:MS_COMMENTS                   	proline metabolism and T cell metabolism). For untargeted metabolomics analysis,
MS:MS_COMMENTS                   	the optimized workflow consists of automated peak detection and integration,
MS:MS_COMMENTS                   	peak alignment, background noise subtraction, and multivariate data analysis.
MS:MS_COMMENTS                   	These steps were carried out for comprehensive metabolite phenotyping of the two
MS:MS_COMMENTS                   	groups using Agilent Mass Hunter Qualitative Analysis Software (Version
MS:MS_COMMENTS                   	B.07.0.0, build 7.0.7024.0) and Agilent Mass Profiler Professional (Version
MS:MS_COMMENTS                   	14.5-Build 2772). The metabolites were first putatively identified based on
MS:MS_COMMENTS                   	accurate mass match (accurate mass ± 30 ppm error) and fragmentation pattern
MS:MS_COMMENTS                   	match. Putative structural annotation was carried out by searching the
MS:MS_COMMENTS                   	metabolite databases HMDB (http://www.hmdb.ca/) and METLIN (http://
MS:MS_COMMENTS                   	metlin.scripps.edu) using the mass-to-charge ratio of the metabolic features.
#MS_METABOLITE_DATA
MS_METABOLITE_DATA:UNITS	ppm
MS_METABOLITE_DATA_START
Samples	20181221_hProdh2_OE_Vector1_M62	20181221_hProdh2_OE_Vector2_M62	20181221_hProdh2_OE_Vector3_M62	20181221_hProdh2_OE_Vector4_M62	20181221_hProdh2_OE_Vector5_M62	20181221_hProdh2_OE_1_M62	20181221_hProdh2_OE_2_M62	20181221_hProdh2_OE_3_M62	20181221_hProdh2_OE_4_M62	20181221_hProdh2_OE_5_M62
Factors	Genotype:Vector_OE | Treatment:Control	Genotype:Vector_OE | Treatment:Control	Genotype:Vector_OE | Treatment:Control	Genotype:Vector_OE | Treatment:Control	Genotype:Vector_OE | Treatment:Control	Genotype:PRODH2_OE | Treatment:PRODH2	Genotype:PRODH2_OE | Treatment:PRODH2	Genotype:PRODH2_OE | Treatment:PRODH2	Genotype:PRODH2_OE | Treatment:PRODH2	Genotype:PRODH2_OE | Treatment:PRODH2
Glutathione	921413	604123	487883	1620478	1019804	1470537	911867	1597407	762426	1431081
Sphinganine	32621	25332	30326	39073	31656	43878	22062	20403	35196	39059
Argininosuccinate	3149	1984	1603	3472	2733	1235	3082	2542	3363	3183
Homocystine	473	449	875	1629	1120	288	2058	1325	984	1394
Cystine	3314	490	1438	9123	3205	6809	7638	10820	10351	5970
Anserine	6567	1036	2801	3031	1164	1072	2752	1595	2533	792
Cystathionine	2440	1871	2619	2800	1226	1167	1907	2336	3702	1116
Tryptophan	14206	17648	19085	16338	11956	19105	16018	17618	16552	26498
Spermine	42471	36872	159882	221133	87789	265372	139276	76612	48855	43190
3-Phosphoserine	2051	722	2442	2808	646	1968	3001	878	6420	2976
Tyrosne	264182	42504	61903	73028	43442	75233	44268	47975	46778	49910
Citrulline	1853	2570	1890	2845	1435	2259	9008	7373	2752	3765
Arginine	1254486	888562	1063438	1210823	756655	824313	864002	1063356	782954	980753
Phenylalanine	339919	198992	187418	194564	160759	122000	143264	157312	149922	182668
4-Hydroxy-Glutamate	6300	3382	2946	6041	2656	951	1208	3492	4155	3755
Histidine	1771187	1079282	1450365	1706363	1125901	816556	964912	997551	922590	1012593
Guanine	20808	24335	13872	13608	10681	25574	38572	18967	24089	25096
Methionine	28378	14648	44762	55402	20079	9992	31879	34112	32449	17776
2-Hydroxy-Glutarate	43202	3879	25582	43366	6616	19140	20065	17383	27650	5763
Glutamate	355124	141338	253678	447163	509152	1135091	1417242	1676107	1776951	1031736
Lysine	1537	1637	2687	3865	2384	1739	4982	2612	1182	1913
Glutamine	2177009	887833	1772151	2489780	985467	817893	998139	1343620	1379413	701559
Oxo-glutarate	67864	21720	48780	72103	31016	24202	21136	34484	38906	18712
Spermidine	107887	111647	330073	548680	215443	206822	515459	327648	93700	273430
Malate	3476	5557	5757	5807	5391	2466	1588	3451	4448	2989
Aspartic acid	669462	550116	692076	423341	457646	262024	188968	206615	307343	248102
Oxaloacetate	51981	44469	72558	97556	69089	44026	45214	34558	28376	36482
Ornithine	74512	39949	77101	96890	37660	29229	18443	23510	21021	19829
Leucine	925260	654986	1314280	2172796	1108789	729055	698269	498362	465365	626195
4-Hydroxyproline	111449	156937	116312	138532	175782	47082	60066	68003	51383	65504
PHC	1401	2604	1719	2412	1132	3957	3094	3554	4512	3806
Oxoproline	1735415	1454747	983490	1352858	816916	445316	96070	214330	230874	136518
Taurine	285448	501681	55922	192604	575081	25812	52821	676736	145371	255438
Cysteine	20403	6595	1866	23348	6201	8145	5658	9692	17265	10735
Threonine	1129	2326	3357	2629	399	580	1550	3087	923	1124
Succinate	10719	12032	8978	3968	4207	14492	10502	14282	7773	11305
Valine	435192	414758	168393	170461	166457	117614	123922	582183	286282	388072
Fumarate	124135	75114	198665	291479	92950	371169	206622	146301	155752	103204
Proline	2823719	3638626	4286561	6440219	3087870	2543357	4455294	3259016	3462500	2358333
Choline	18755	16472	26950	25612	37119	48604	94374	40526	58028	79363
Lactate	1774	993	1183	749	762	2297	1858	1654	2148	1805
Pyruvate	3121	2563	1871	1473	2384	1167	858	1160	805	825
Glyine	2772	1545	1595	2009	1133	669	1552	1107	1336	994
Glyoxylate	1430	1022	1717	1959	2434	3193	1450	1596	1384	1564
MS_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name
Glutathione
Sphinganine
Argininosuccinate
Homocystine
Cystine
Anserine
Cystathionine
Tryptophan
Spermine
3-Phosphoserine
Tyrosne
Citrulline
Arginine
Phenylalanine
4-Hydroxy-Glutamate
Histidine
Guanine
Methionine
2-Hydroxy-Glutarate
Glutamate
Lysine
Glutamine
Oxo-glutarate
Spermidine
Malate
Aspartic acid
Oxaloacetate
Ornithine
Leucine
4-Hydroxyproline
PHC
Oxoproline
Taurine
Cysteine
Threonine
Succinate
Valine
Fumarate
Proline
Choline
Lactate
Pyruvate
Glyine
Glyoxylate
METABOLITES_END
#END