#METABOLOMICS WORKBENCH basilm_20230203_130930 DATATRACK_ID:3721 STUDY_ID:ST002504 ANALYSIS_ID:AN004120 PROJECT_ID:PR001618
VERSION             	1
CREATED_ON             	March 13, 2023, 12:01 pm
#PROJECT
PR:PROJECT_TITLE                 	Untargeted lipidomics of C. elegans upon depletion of ash-2 and prx-5.
PR:PROJECT_SUMMARY               	Untargeted lipidomics in middle-aged C. elegans upon enrichment of
PR:PROJECT_SUMMARY               	monounsaturated fatty acids by ash-2 RNAi and peroxisome depletion by prx-5
PR:PROJECT_SUMMARY               	RNAi.
PR:INSTITUTE                     	Stanford University
PR:LAST_NAME                     	Papsdorf
PR:FIRST_NAME                    	Katharina
PR:ADDRESS                       	290 Jane Stanford way, 94301 Palo Alto, CA, USA
PR:EMAIL                         	papsdorf@stanford.edu
PR:PHONE                         	+1 650 546 5366
#STUDY
ST:STUDY_TITLE                   	Lipid droplets and peroxisomes are co-regulated to drive lifespan extension in
ST:STUDY_TITLE                   	response to mono-unsaturated fatty acids
ST:STUDY_SUMMARY                 	Dietary mono-unsaturated fatty acids (MUFAs) are linked to human longevity and
ST:STUDY_SUMMARY                 	extend lifespan in several species. But the mechanisms by which MUFAs extend
ST:STUDY_SUMMARY                 	lifespan remain unclear. Here we show that an organelle network involving lipid
ST:STUDY_SUMMARY                 	droplets and peroxisomes is critical for lifespan extension by MUFAs in C.
ST:STUDY_SUMMARY                 	elegans. MUFA accumulation increases lipid droplet number in fat storage
ST:STUDY_SUMMARY                 	tissues, and this is necessary for MUFA-induced longevity. Lipid droplet number
ST:STUDY_SUMMARY                 	in young or middle-aged individuals can predict remaining lifespan, consistent
ST:STUDY_SUMMARY                 	with a beneficial effect of lipid droplets on lifespan. Lipidomics datasets
ST:STUDY_SUMMARY                 	reveal that MUFA accumulation also modifies the ratio of membrane lipids and
ST:STUDY_SUMMARY                 	ether lipids, a signature predictive of decreased lipid oxidation. We validate
ST:STUDY_SUMMARY                 	that MUFAs decrease lipid oxidation in middle-aged individuals, and that this is
ST:STUDY_SUMMARY                 	important for MUFA-induced longevity. Intriguingly, the increase in lipid
ST:STUDY_SUMMARY                 	droplet number in response to MUFAs is accompanied by a concomitant increase in
ST:STUDY_SUMMARY                 	peroxisome number. Using a targeted screen, we identify genes involved in the
ST:STUDY_SUMMARY                 	co-regulation or uncoupling of this lipid droplet-peroxisome network. We find
ST:STUDY_SUMMARY                 	that induction of both organelles is optimal for lifespan extension. Our study
ST:STUDY_SUMMARY                 	uncovers an organelle network involved in lipid homeostasis and lifespan
ST:STUDY_SUMMARY                 	regulation and identifies a mechanism of action for MUFAs to extend lifespan,
ST:STUDY_SUMMARY                 	opening new avenues for lipid-based interventions to delay aging. For the
ST:STUDY_SUMMARY                 	manuscript only the conditions “control” and “ash-2 RNAi” are plotted
ST:INSTITUTE                     	Stanford University
ST:LAST_NAME                     	Papsdorf
ST:FIRST_NAME                    	Katharina
ST:ADDRESS                       	290 Jane Stanford way, 94301 Palo Alto, CA, USA
ST:EMAIL                         	papsdorf@stanford.edu
ST:PHONE                         	+1 650 546 5366
#SUBJECT
SU:SUBJECT_TYPE                  	Invertebrate
SU:SUBJECT_SPECIES               	Caenorhabditis elegans
SU:TAXONOMY_ID                   	6239
SU:AGE_OR_AGE_RANGE              	middle-aged (adult day 5)
#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           	-	ASH10	Genotype:Wild-type | Treatment:ash-2 RNAi	RAW_FILE_NAME=ASH10.raw
SUBJECT_SAMPLE_FACTORS           	-	ASH14	Genotype:Wild-type | Treatment:ash-2 RNAi	RAW_FILE_NAME=ASH14.raw
SUBJECT_SAMPLE_FACTORS           	-	ASH18	Genotype:Wild-type | Treatment:ash-2 RNAi	RAW_FILE_NAME=ASH18.raw
SUBJECT_SAMPLE_FACTORS           	-	ASH2	Genotype:Wild-type | Treatment:ash-2 RNAi	RAW_FILE_NAME=ASH2.raw
SUBJECT_SAMPLE_FACTORS           	-	ASH22	Genotype:Wild-type | Treatment:ash-2 RNAi	RAW_FILE_NAME=ASH22.raw
SUBJECT_SAMPLE_FACTORS           	-	ASH6	Genotype:Wild-type | Treatment:ash-2 RNAi	RAW_FILE_NAME=ASH6.raw
SUBJECT_SAMPLE_FACTORS           	-	EV1	Genotype:Wild-type | Treatment:Control	RAW_FILE_NAME=EV1.raw
SUBJECT_SAMPLE_FACTORS           	-	EV13	Genotype:Wild-type | Treatment:Control	RAW_FILE_NAME=EV13.raw
SUBJECT_SAMPLE_FACTORS           	-	EV17	Genotype:Wild-type | Treatment:Control	RAW_FILE_NAME=EV17.raw
SUBJECT_SAMPLE_FACTORS           	-	EV21	Genotype:Wild-type | Treatment:Control	RAW_FILE_NAME=EV21.raw
SUBJECT_SAMPLE_FACTORS           	-	EV5	Genotype:Wild-type | Treatment:Control	RAW_FILE_NAME=EV5.raw
SUBJECT_SAMPLE_FACTORS           	-	EV9	Genotype:Wild-type | Treatment:Control	RAW_FILE_NAME=EV9.raw
SUBJECT_SAMPLE_FACTORS           	-	P-A11	Genotype:Wild-type | Treatment:ash-2/prx-5 RNAi	RAW_FILE_NAME=P-A11.raw
SUBJECT_SAMPLE_FACTORS           	-	P-A15	Genotype:Wild-type | Treatment:ash-2/prx-5 RNAi	RAW_FILE_NAME=P-A15.raw
SUBJECT_SAMPLE_FACTORS           	-	P-A19	Genotype:Wild-type | Treatment:ash-2/prx-5 RNAi	RAW_FILE_NAME=P-A19.raw
SUBJECT_SAMPLE_FACTORS           	-	P-A23	Genotype:Wild-type | Treatment:ash-2/prx-5 RNAi	RAW_FILE_NAME=P-A23.raw
SUBJECT_SAMPLE_FACTORS           	-	P-A3	Genotype:Wild-type | Treatment:ash-2/prx-5 RNAi	RAW_FILE_NAME=P-A3.raw
SUBJECT_SAMPLE_FACTORS           	-	P-A7	Genotype:Wild-type | Treatment:ash-2/prx-5 RNAi	RAW_FILE_NAME=P-A7.raw
SUBJECT_SAMPLE_FACTORS           	-	PRX12	Genotype:Wild-type | Treatment:prx-5 RNAi	RAW_FILE_NAME=PRX12.raw
SUBJECT_SAMPLE_FACTORS           	-	PRX16	Genotype:Wild-type | Treatment:prx-5 RNAi	RAW_FILE_NAME=PRX16.raw
SUBJECT_SAMPLE_FACTORS           	-	PRX20	Genotype:Wild-type | Treatment:prx-5 RNAi	RAW_FILE_NAME=PRX20.raw
SUBJECT_SAMPLE_FACTORS           	-	PRX24	Genotype:Wild-type | Treatment:prx-5 RNAi	RAW_FILE_NAME=PRX24.raw
SUBJECT_SAMPLE_FACTORS           	-	PRX4	Genotype:Wild-type | Treatment:prx-5 RNAi	RAW_FILE_NAME=PRX4.raw
SUBJECT_SAMPLE_FACTORS           	-	PRX8	Genotype:Wild-type | Treatment:prx-5 RNAi	RAW_FILE_NAME=PRX8.raw
SUBJECT_SAMPLE_FACTORS           	-	QC_MSMS	Genotype:- | Treatment:-	RAW_FILE_NAME=-
SUBJECT_SAMPLE_FACTORS           	-	blank	Genotype:- | Treatment:-	RAW_FILE_NAME=-
#COLLECTION
CO:COLLECTION_SUMMARY            	At middle-age (adult day 5), worms were transferred to empty RNAi plates without
CO:COLLECTION_SUMMARY            	any bacteria for 15 minutes, to clear residual bacteria in the gut. Worms were
CO:COLLECTION_SUMMARY            	then collected in 200 µl M9 in protein-low bind Eppendorf tubes (cat #
CO:COLLECTION_SUMMARY            	13-698-794). Worms were lysed using a pre-chilled stainless-steel homogenizer
CO:COLLECTION_SUMMARY            	(Wheaton, cat # 357572) and were homogenized with 15 plunger strokes and protein
CO:COLLECTION_SUMMARY            	concentration of the lysate was determined using the Pierce BCA Protein Assay
CO:COLLECTION_SUMMARY            	Kit (Thermo- Scientific). The lysate (from approximately 500 worms) was frozen
CO:COLLECTION_SUMMARY            	on dry ice and stored at -80°C
CO:SAMPLE_TYPE                   	Whole worm lysate
#TREATMENT
TR:TREATMENT_SUMMARY             	Hermaphrodites were treated with control (empty vector) RNAi, prx-5, ash-2 or
TR:TREATMENT_SUMMARY             	prx-5/ash-2 RNAi until middle-age (adult day 6). Each condition consists of six
TR:TREATMENT_SUMMARY             	biological replicates. To retrieve a large number of age-synchronized worms,
TR:TREATMENT_SUMMARY             	approximately 500 eggs were laid by age-synchronized adult day 1 wild type
TR:TREATMENT_SUMMARY             	parents per replicate plate. After 2 hours of egg laying, the parents were
TR:TREATMENT_SUMMARY             	removed, and the plates were checked that no parents remained. Once the worms
TR:TREATMENT_SUMMARY             	reached the young adult stage, they were washed each day to separate the adult
TR:TREATMENT_SUMMARY             	worms from larvae/eggs. For this, worms were collected in M9 buffer (22 mM
TR:TREATMENT_SUMMARY             	KH2PO4, 34 mM K2HPO4, 86 mM NaCl, 1mM MgSO4) and allowed to settle to the bottom
TR:TREATMENT_SUMMARY             	of the tube. The supernatant was removed and fresh M9 was added. This washing
TR:TREATMENT_SUMMARY             	procedure was repeated 6 times and the adult worms were transferred to fresh
TR:TREATMENT_SUMMARY             	6-cm RNAi plates seeded with 500 µl RNAi-expressing HT115 bacteria.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Lipids from the whole worm lysates were extracted using a biphasic separation
SP:SAMPLEPREP_SUMMARY            	with methyl tert-butyl ether (MTBE), methanol and water as described previously
SP:SAMPLEPREP_SUMMARY            	(PMID 30532037, PMID 32612231). All reagents used are for lipidomics were LC/MS
SP:SAMPLEPREP_SUMMARY            	grade. Briefly, 298 μl of ice-cold methanol and 2 μl of internal standard
SP:SAMPLEPREP_SUMMARY            	(equiSPLASH, Avanti Polar Lipids, cat# 330731) were added to 50 μl of worm
SP:SAMPLEPREP_SUMMARY            	lysate. The mixture was vortexed for 20 seconds and 1000 μl of ice-cold MTBE
SP:SAMPLEPREP_SUMMARY            	was added. The mixture was incubated under agitation for 30 minutes at 4°C.
SP:SAMPLEPREP_SUMMARY            	After addition of 250 μl of water, the samples were vortexed for 1 minute and
SP:SAMPLEPREP_SUMMARY            	centrifuged at 14,000 g for 10 minutes at room temperature. The upper phase
SP:SAMPLEPREP_SUMMARY            	containing the lipids was collected and dried down under nitrogen. The dry
SP:SAMPLEPREP_SUMMARY            	extracts were reconstituted with 300 μl of 9:1 methanol:toluene (Fisher
SP:SAMPLEPREP_SUMMARY            	Scientific) with 10 mM of ammonium acetate (Sigma Aldrich) and centrifuged at
SP:SAMPLEPREP_SUMMARY            	14,000 g for 5 minutes before analysis. Water extracted using the same protocol
SP:SAMPLEPREP_SUMMARY            	was used as a blank control. Samples were randomized in all cases during lipid
SP:SAMPLEPREP_SUMMARY            	extraction.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	Lipid extracts were analyzed in a randomized order using an Ultimate 3000 RSLC
CH:CHROMATOGRAPHY_SUMMARY        	system coupled with a Q Exactive mass spectrometer (Thermo Fisher Scientific) as
CH:CHROMATOGRAPHY_SUMMARY        	previously described (PMID: 32612231). To identify complex lipids, isolated
CH:CHROMATOGRAPHY_SUMMARY        	lipids were analyzed with untargeted lipidomics using liquid chromatography
CH:CHROMATOGRAPHY_SUMMARY        	coupled to a Q Exactive mass spectrometer (Thermo Fisher Scientific) (LC/MS).
CH:CHROMATOGRAPHY_SUMMARY        	Lipids were separated using an Accucore C30 column 2.1 x 150 mm, 2.6 μm (Thermo
CH:CHROMATOGRAPHY_SUMMARY        	Scientific, cat# 27826-152130) and mobile phase solvents consisted in 1 mM
CH:CHROMATOGRAPHY_SUMMARY        	ammonium formate and 0.1% formic acid in 60/40 acetonitrile/water (A) and 1 mM
CH:CHROMATOGRAPHY_SUMMARY        	ammonium formate and 0.1% formic acid in 90/10 isopropanol/acetonitrile (B). The
CH:CHROMATOGRAPHY_SUMMARY        	gradient profile used was 30% B for 3 minutes, 30–43% B over 5 minutes,
CH:CHROMATOGRAPHY_SUMMARY        	43–50% B over 1 minute, 55–90% B over 9 minutes, 90-99% B over 9 minutes and
CH:CHROMATOGRAPHY_SUMMARY        	99% B for 5 minutes. Lipids were eluted from the column at 0.2 ml/min, the oven
CH:CHROMATOGRAPHY_SUMMARY        	temperature was set at 30°C, and the injection volume was 15 μl. Autosampler
CH:CHROMATOGRAPHY_SUMMARY        	temperature was set at 15°C to prevent lipid aggregation.
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Thermo Dionex Ultimate 3000 RS
CH:COLUMN_NAME                   	Thermo Accucore C30 (150 x 2.1mm,2.6um)
CH:SOLVENT_A                     	60% acetonitrile/40% water; 1mM ammonium formate; 0.1% formic acid
CH:SOLVENT_B                     	90% isopropanol/10% acetonitrile; 1mM ammonium formate; 0.1% formic acid
CH:FLOW_GRADIENT                 	The gradient profile used was 30% B for 3 minutes, 30–43% B over 5 minutes,
CH:FLOW_GRADIENT                 	43–50% B over 1 minute, 55–90% B over 9 minutes, 90-99% B over 9 minutes and
CH:FLOW_GRADIENT                 	99% B for 5 minutes.
CH:FLOW_RATE                     	0.2 ml/min
CH:COLUMN_TEMPERATURE            	30
CH:SAMPLE_INJECTION              	5ul
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Thermo Q Exactive Orbitrap
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	LC-MS peak extraction, alignment, quantification and annotation was performed
MS:MS_COMMENTS                   	using LipidSearch software version 4.2.21 (Thermo Fisher Scientific). Lipids
MS:MS_COMMENTS                   	were identified by matching the precursor ion mass to a database and the
MS:MS_COMMENTS                   	experimental MS/MS spectra to a spectral library containing theoretical
MS:MS_COMMENTS                   	fragmentation spectra. To reduce the risk of misidentification, MS/MS spectra
MS:MS_COMMENTS                   	from lipids of interest were validated as follows: 1) both positive and negative
MS:MS_COMMENTS                   	mode MS/MS spectra match the expected fragments, 2) the main lipid adduct forms
MS:MS_COMMENTS                   	detected in positive and negative modes agree with the lipid class identified,
MS:MS_COMMENTS                   	3) the retention time is compatible with the lipid class identified and 4) the
MS:MS_COMMENTS                   	peak shape is acceptable. The fragmentation pattern of each lipid class was
MS:MS_COMMENTS                   	experimentally validated using lipid internal standards. Single-point internal
MS:MS_COMMENTS                   	standard calibrations were used to estimate absolute concentrations using one
MS:MS_COMMENTS                   	internal standard for each lipid class. In cases with no exact lipid standard
MS:MS_COMMENTS                   	available lipids with molecular similarity were used. Further data processing
MS:MS_COMMENTS                   	was done using an in-house analysis pipeline written in R (Version 3.6.3,
MS:MS_COMMENTS                   	available in Github at https://github.com/brunetlab). Briefly, processing for
MS:MS_COMMENTS                   	samples and spike-in standards were done in the same way. All ions for one lipid
MS:MS_COMMENTS                   	were aggregated and lipids with a signal <0 discarded from further analysis.
MS:MS_COMMENTS                   	Lipid species were quantified using the corresponding internal standard
MS:MS_COMMENTS                   	(equiSPLASH, Avanti Polar Lipids, cat# 330731) for each lipid class. Lipids with
MS:MS_COMMENTS                   	signals lower than 3x blank signal were discarded. Lipids with more than 50% of
MS:MS_COMMENTS                   	missing values were discarded, and for the remaining missing values, imputation
MS:MS_COMMENTS                   	was performed. For this, a value was randomly assigned based on the bottom 5%
MS:MS_COMMENTS                   	for the corresponding lipid. Lipids were filtered for a coefficient of variance
MS:MS_COMMENTS                   	<0.5. Each sample was divided by its corresponding protein concentration to
MS:MS_COMMENTS                   	correct for sample input variations (protein concentrations can be found at
MS:MS_COMMENTS                   	https://github.com/brunetlab/Papsdorf_etal_2023). To calculate normalized
MS:MS_COMMENTS                   	abundance, each lipid within a sample was divided by the sample median followed
MS:MS_COMMENTS                   	by multiplication with the global median. This resulted in a total of 499
MS:MS_COMMENTS                   	filtered and normalized lipids belonging to 16 lipid classes. For a list of
MS:MS_COMMENTS                   	identified lipid ions using LipidSearch see
MS:MS_COMMENTS                   	https://github.com/brunetlab/Papsdorf_etal_2023.
MS:MS_RESULTS_FILE               	ST002504_AN004120_Results.txt	UNITS:peak area	Has m/z:Yes	Has RT:Yes	RT units:Minutes
#END