#METABOLOMICS WORKBENCH wernerajz_20190302_125834_mwtab.txt DATATRACK_ID:1662 STUDY_ID:ST001199 ANALYSIS_ID:AN001995 PROJECT_ID:PR000808
VERSION             	1
CREATED_ON             	June 18, 2019, 9:51 pm
#PROJECT
PR:PROJECT_TITLE                 	A comprehensive time-course metabolite profiling of the model cyanobacterium
PR:PROJECT_TITLE                 	Synechocystis sp. PCC 6803 under diurnal light:dark cycles
PR:PROJECT_SUMMARY               	Cyanobacteria are a model photoautotroph and a chassis for the sustainable
PR:PROJECT_SUMMARY               	production of fuels and chemicals. Yet, knowledge of photoautotrophic metabolism
PR:PROJECT_SUMMARY               	in the natural environment of day/night cycles is lacking yet has implications
PR:PROJECT_SUMMARY               	for improved yield from plants, algae, and cyanobacteria. Here, a thorough
PR:PROJECT_SUMMARY               	approach to characterizing diverse metabolites—including carbohydrates,
PR:PROJECT_SUMMARY               	lipids, amino acids, pigments, co-factors, nucleic acids and
PR:PROJECT_SUMMARY               	polysaccharides—in the model cyanobacterium Synechocystis sp. PCC 6803 (S.
PR:PROJECT_SUMMARY               	6803) under sinusoidal diurnal light-dark cycles was developed and applied. A
PR:PROJECT_SUMMARY               	custom photobioreactor and novel multi-platform mass spectrometry workflow
PR:PROJECT_SUMMARY               	enabled metabolite profiling every 30-120 minutes across a 24-hour diurnal
PR:PROJECT_SUMMARY               	sinusoidal LD (“sinLD”) cycle peaking at 1,600 mol photons m 2 s-1. We
PR:PROJECT_SUMMARY               	report widespread oscillations across the sinLD cycle with 90%, 94%, and 40% of
PR:PROJECT_SUMMARY               	the identified polar/semi-polar, non-polar, and polymeric metabolites displaying
PR:PROJECT_SUMMARY               	statistically significant oscillations, respectively. Microbial growth displayed
PR:PROJECT_SUMMARY               	distinct lag, biomass accumulation, and cell division phases of growth. During
PR:PROJECT_SUMMARY               	the lag phase, amino acids (AA) and nucleic acids (NA) accumulated to high
PR:PROJECT_SUMMARY               	levels per cell followed by decreased levels during the biomass accumulation
PR:PROJECT_SUMMARY               	phase, presumably due to protein and DNA synthesis. Insoluble carbohydrates
PR:PROJECT_SUMMARY               	displayed sharp oscillations per cell at the day-to-night transition. Potential
PR:PROJECT_SUMMARY               	bottlenecks in central carbon metabolism are highlighted. Together, this report
PR:PROJECT_SUMMARY               	provides a comprehensive view of photosynthetic metabolite behavior with high
PR:PROJECT_SUMMARY               	temporal resolution, offering insight into the impact of growth synchronization
PR:PROJECT_SUMMARY               	to light cycles via circadian rhythms. Incorporation into computational modeling
PR:PROJECT_SUMMARY               	and metabolic engineering efforts promises to improve industrially-relevant
PR:PROJECT_SUMMARY               	strain design.
PR:INSTITUTE                     	Colorado State University
PR:DEPARTMENT                    	Chemical and
PR:LAST_NAME                     	Peebles
PR:FIRST_NAME                    	Christie
PR:ADDRESS                       	700 Meridian Ave, Fort Collins, CO 80523 USA
PR:EMAIL                         	wernerajz@gmail.com
PR:PHONE                         	2699981811
#STUDY
ST:STUDY_TITLE                   	Non-targeted LC-MS Analysis of Soluble Metabolites in the Non-Polar MTBE Phase
ST:STUDY_TITLE                   	(part-V)
ST:STUDY_SUMMARY                 	Cyanobacteria are a model photoautotroph and a chassis for the sustainable
ST:STUDY_SUMMARY                 	production of fuels and chemicals. Yet, knowledge of photoautotrophic metabolism
ST:STUDY_SUMMARY                 	in the natural environment of day/night cycles is lacking yet has implications
ST:STUDY_SUMMARY                 	for improved yield from plants, algae, and cyanobacteria. Here, a thorough
ST:STUDY_SUMMARY                 	approach to characterizing diverse metabolites—including carbohydrates,
ST:STUDY_SUMMARY                 	lipids, amino acids, pigments, co-factors, nucleic acids and
ST:STUDY_SUMMARY                 	polysaccharides—in the model cyanobacterium Synechocystis sp. PCC 6803 (S.
ST:STUDY_SUMMARY                 	6803) under sinusoidal diurnal light-dark cycles was developed and applied. A
ST:STUDY_SUMMARY                 	custom photobioreactor and novel multi-platform mass spectrometry workflow
ST:STUDY_SUMMARY                 	enabled metabolite profiling every 30-120 minutes across a 24-hour diurnal
ST:STUDY_SUMMARY                 	sinusoidal LD (“sinLD”) cycle peaking at 1,600 mol photons m 2 s-1. We
ST:STUDY_SUMMARY                 	report widespread oscillations across the sinLD cycle with 90%, 94%, and 40% of
ST:STUDY_SUMMARY                 	the identified polar/semi-polar, non-polar, and polymeric metabolites displaying
ST:STUDY_SUMMARY                 	statistically significant oscillations, respectively. Microbial growth displayed
ST:STUDY_SUMMARY                 	distinct lag, biomass accumulation, and cell division phases of growth. During
ST:STUDY_SUMMARY                 	the lag phase, amino acids (AA) and nucleic acids (NA) accumulated to high
ST:STUDY_SUMMARY                 	levels per cell followed by decreased levels during the biomass accumulation
ST:STUDY_SUMMARY                 	phase, presumably due to protein and DNA synthesis. Insoluble carbohydrates
ST:STUDY_SUMMARY                 	displayed sharp oscillations per cell at the day-to-night transition. Potential
ST:STUDY_SUMMARY                 	bottlenecks in central carbon metabolism are highlighted. Together, this report
ST:STUDY_SUMMARY                 	provides a comprehensive view of photosynthetic metabolite behavior with high
ST:STUDY_SUMMARY                 	temporal resolution, offering insight into the impact of growth synchronization
ST:STUDY_SUMMARY                 	to light cycles via circadian rhythms. Incorporation into computational modeling
ST:STUDY_SUMMARY                 	and metabolic engineering efforts promises to improve industrially-relevant
ST:STUDY_SUMMARY                 	strain design.
ST:INSTITUTE                     	Colorado State University
ST:DEPARTMENT                    	Chemical and Biological Engineering
ST:LAST_NAME                     	Peebles
ST:FIRST_NAME                    	Christie
ST:ADDRESS                       	700 Meridian Ave, Fort Collins, CO 80523
ST:EMAIL                         	christie.peebles@colostate.edu
ST:PHONE                         	970-491-6779
#SUBJECT
SU:SUBJECT_TYPE                  	Bacteria
SU:SUBJECT_SPECIES               	Synechocystis sp. PCC 6803
SU:TAXONOMY_ID                   	1148
SU:GENOTYPE_STRAIN               	NCBI:txid1148
SU:CELL_BIOSOURCE_OR_SUPPLIER    	ATCC
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	-	1-Synechocystis_6803-cell-0-1	time:-2	
SUBJECT_SAMPLE_FACTORS           	-	2-Synechocystis_6803-cell-0-2	time:-2	
SUBJECT_SAMPLE_FACTORS           	-	3-Synechocystis_6803-cell-0-3	time:-2	
SUBJECT_SAMPLE_FACTORS           	-	4-Synechocystis_6803-cell-1-1	time:-1	
SUBJECT_SAMPLE_FACTORS           	-	5-Synechocystis_6803-cell-1-2	time:-1	
SUBJECT_SAMPLE_FACTORS           	-	6-Synechocystis_6803-cell-1-3	time:-1	
SUBJECT_SAMPLE_FACTORS           	-	7-Synechocystis_6803-cell-1.5-1	time:-0.5	
SUBJECT_SAMPLE_FACTORS           	-	8-Synechocystis_6803-cell-1.5-2	time:-0.5	
SUBJECT_SAMPLE_FACTORS           	-	9-Synechocystis_6803-cell-1.5-3	time:-0.5	
SUBJECT_SAMPLE_FACTORS           	-	10-Synechocystis_6803-cell-2-1	time:-	
SUBJECT_SAMPLE_FACTORS           	-	11-Synechocystis_6803-cell-2-2	time:-	
SUBJECT_SAMPLE_FACTORS           	-	12-Synechocystis_6803-cell-2-3	time:-	
SUBJECT_SAMPLE_FACTORS           	-	13-Synechocystis_6803-cell-2.5-1	time:0.5	
SUBJECT_SAMPLE_FACTORS           	-	14-Synechocystis_6803-cell-2.5-2	time:0.5	
SUBJECT_SAMPLE_FACTORS           	-	15-Synechocystis_6803-cell-2.5-3	time:0.5	
SUBJECT_SAMPLE_FACTORS           	-	16-Synechocystis_6803-cell-3-1	time:1	
SUBJECT_SAMPLE_FACTORS           	-	17-Synechocystis_6803-cell-3-2	time:1	
SUBJECT_SAMPLE_FACTORS           	-	18-Synechocystis_6803-cell-3-3	time:1	
SUBJECT_SAMPLE_FACTORS           	-	19-Synechocystis_6803-cell-4-1	time:2	
SUBJECT_SAMPLE_FACTORS           	-	20-Synechocystis_6803-cell-4-2	time:2	
SUBJECT_SAMPLE_FACTORS           	-	21-Synechocystis_6803-cell-4-3	time:2	
SUBJECT_SAMPLE_FACTORS           	-	22-Synechocystis_6803-cell-6-1	time:4	
SUBJECT_SAMPLE_FACTORS           	-	23-Synechocystis_6803-cell-6-2	time:4	
SUBJECT_SAMPLE_FACTORS           	-	24-Synechocystis_6803-cell-6-3	time:4	
SUBJECT_SAMPLE_FACTORS           	-	25-Synechocystis_6803-cell-8-1	time:6	
SUBJECT_SAMPLE_FACTORS           	-	26-Synechocystis_6803-cell-8-2	time:6	
SUBJECT_SAMPLE_FACTORS           	-	27-Synechocystis_6803-cell-8-3	time:6	
SUBJECT_SAMPLE_FACTORS           	-	28-Synechocystis_6803-cell-10-1	time:8	
SUBJECT_SAMPLE_FACTORS           	-	29-Synechocystis_6803-cell-10-2	time:8	
SUBJECT_SAMPLE_FACTORS           	-	30-Synechocystis_6803-cell-10-3	time:8	
SUBJECT_SAMPLE_FACTORS           	-	31-Synechocystis_6803-cell-12-1	time:10	
SUBJECT_SAMPLE_FACTORS           	-	32-Synechocystis_6803-cell-12-2	time:10	
SUBJECT_SAMPLE_FACTORS           	-	33-Synechocystis_6803-cell-12-3	time:10	
SUBJECT_SAMPLE_FACTORS           	-	34-Synechocystis_6803-cell-13-1	time:11	
SUBJECT_SAMPLE_FACTORS           	-	35-Synechocystis_6803-cell-13-2	time:11	
SUBJECT_SAMPLE_FACTORS           	-	36-Synechocystis_6803-cell-13-3	time:11	
SUBJECT_SAMPLE_FACTORS           	-	37-Synechocystis_6803-cell-13.5-1	time:11.5	
SUBJECT_SAMPLE_FACTORS           	-	38-Synechocystis_6803-cell-13.5-2	time:11.5	
SUBJECT_SAMPLE_FACTORS           	-	39-Synechocystis_6803-cell-13.5-3	time:11.5	
SUBJECT_SAMPLE_FACTORS           	-	40-Synechocystis_6803-cell-14-1	time:12	
SUBJECT_SAMPLE_FACTORS           	-	41-Synechocystis_6803-cell-14-2	time:12	
SUBJECT_SAMPLE_FACTORS           	-	42-Synechocystis_6803-cell-14-3	time:12	
SUBJECT_SAMPLE_FACTORS           	-	43-Synechocystis_6803-cell-14.5-1	time:12.5	
SUBJECT_SAMPLE_FACTORS           	-	44-Synechocystis_6803-cell-14.5-2	time:12.5	
SUBJECT_SAMPLE_FACTORS           	-	45-Synechocystis_6803-cell-14.5-3	time:12.5	
SUBJECT_SAMPLE_FACTORS           	-	46-Synechocystis_6803-cell-15-1	time:13	
SUBJECT_SAMPLE_FACTORS           	-	47-Synechocystis_6803-cell-15-2	time:13	
SUBJECT_SAMPLE_FACTORS           	-	48-Synechocystis_6803-cell-15-3	time:13	
SUBJECT_SAMPLE_FACTORS           	-	49-Synechocystis_6803-cell-16-1	time:14	
SUBJECT_SAMPLE_FACTORS           	-	50-Synechocystis_6803-cell-16-2	time:14	
SUBJECT_SAMPLE_FACTORS           	-	51-Synechocystis_6803-cell-16-3	time:14	
SUBJECT_SAMPLE_FACTORS           	-	52-Synechocystis_6803-cell-18-1	time:16	
SUBJECT_SAMPLE_FACTORS           	-	53-Synechocystis_6803-cell-18-2	time:16	
SUBJECT_SAMPLE_FACTORS           	-	54-Synechocystis_6803-cell-18-3	time:16	
SUBJECT_SAMPLE_FACTORS           	-	55-Synechocystis_6803-cell-20-1	time:18	
SUBJECT_SAMPLE_FACTORS           	-	56-Synechocystis_6803-cell-20-2	time:18	
SUBJECT_SAMPLE_FACTORS           	-	57-Synechocystis_6803-cell-20-3	time:18	
SUBJECT_SAMPLE_FACTORS           	-	58-Synechocystis_6803-cell-22-1	time:20	
SUBJECT_SAMPLE_FACTORS           	-	59-Synechocystis_6803-cell-22-2	time:20	
SUBJECT_SAMPLE_FACTORS           	-	60-Synechocystis_6803-cell-22-3	time:20	
SUBJECT_SAMPLE_FACTORS           	-	61-Synechocystis_6803-cell-24-1	time:22	
SUBJECT_SAMPLE_FACTORS           	-	62-Synechocystis_6803-cell-24-2	time:22	
SUBJECT_SAMPLE_FACTORS           	-	63-Synechocystis_6803-cell-24-3	time:22	
SUBJECT_SAMPLE_FACTORS           	-	64-Synechocystis_6803-cell-25-1	time:23	
SUBJECT_SAMPLE_FACTORS           	-	65-Synechocystis_6803-cell-25-2	time:23	
SUBJECT_SAMPLE_FACTORS           	-	66-Synechocystis_6803-cell-25-3	time:23	
SUBJECT_SAMPLE_FACTORS           	-	67-Synechocystis_6803-cell-25.5-1	time:23.5	
SUBJECT_SAMPLE_FACTORS           	-	70-Synechocystis_6803-cell-26-1	time:24	
SUBJECT_SAMPLE_FACTORS           	-	71-Synechocystis_6803-cell-26-2	time:24	
SUBJECT_SAMPLE_FACTORS           	-	72-Synechocystis_6803-cell-26-3	time:24	
SUBJECT_SAMPLE_FACTORS           	-	QC1	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC2	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC3	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC4	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC5	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC6	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC7	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC8	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC9	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC10	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC11	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC12	time:26	
SUBJECT_SAMPLE_FACTORS           	-	QC13	time:26	
#COLLECTION
CO:COLLECTION_SUMMARY            	For each metabolomics time-point, a 10 mL culture were rapidly sampled via
CO:COLLECTION_SUMMARY            	sterile on-reactor syringes into a pre-weighed centrifuge tube, quenched in
CO:COLLECTION_SUMMARY            	-4°C 1X PBS, spun at 3,000g for 5 min., decanted, frozen in liquid nitrogen,
CO:COLLECTION_SUMMARY            	and lyophilized at -50°C. The workflow from sampling to centrifugation took < 2
CO:COLLECTION_SUMMARY            	minutes; lyophilized samples were stored at -80°C for < 1 month prior to
CO:COLLECTION_SUMMARY            	extraction. A biphasic extraction from lyophilized cell pellets was performed
CO:COLLECTION_SUMMARY            	via a 2:1:1.6 MTBE:MeOH:H2O biphasic extraction, modified from the protocol
CO:COLLECTION_SUMMARY            	developed by Salem et al. (Salem et al., 2016) resulting in a top layer of MTBE
CO:COLLECTION_SUMMARY            	with non-polar soluble metabolites, a lower layer of MeOH:H2O with polar and
CO:COLLECTION_SUMMARY            	semi-polar soluble metabolites, and an insoluble pellet. Each liquid layer was
CO:COLLECTION_SUMMARY            	transferred to a fresh glass vial and dried under nitrogen gas overnight. The
CO:COLLECTION_SUMMARY            	MTBE layer was resuspended in 1:1 toluene:MeOH and analyzed via Q-TOF-MS with a
CO:COLLECTION_SUMMARY            	UPLC Phenyl Hexyl column (“RP-MS”). The MeOH:H2O layer was resuspended in
CO:COLLECTION_SUMMARY            	1:1 H2O:MeOH, split evenly and subjected to either i) derivatization in
CO:COLLECTION_SUMMARY            	methoxyamine HCl and MSTFA followed by GC-MS analysis, or ii) targeted SRM
CO:COLLECTION_SUMMARY            	analysis on a tandem quadrupole-MS equipped with a HILIC column. The insoluble
CO:COLLECTION_SUMMARY            	pellet was hydrolyzed with a hydrochloric acid (HCl) based on previously
CO:COLLECTION_SUMMARY            	published protocols (Fountoulakis and Lahm, 1998) (Huang, Kaiser and Benner,
CO:COLLECTION_SUMMARY            	2012) to analyze individual amino acids, nucleoside, and carbohydrate content of
CO:COLLECTION_SUMMARY            	the insoluble polymers utilizing MTBSTFA derivatization for insoluble amino
CO:COLLECTION_SUMMARY            	acids. Of the soluble phases, 10 µL were removed from each sample and pooled to
CO:COLLECTION_SUMMARY            	create a QC sample, mixed, and aliquoted into thirteen vials. A QC sample was
CO:COLLECTION_SUMMARY            	run after every sixth injection.
CO:SAMPLE_TYPE                   	Bacterial cells
#TREATMENT
TR:TREATMENT_SUMMARY             	Synechocystis sp. PCC 6803 [N-1] (ATCC 27184, NCBI Taxonomy ID: 1080229) was
TR:TREATMENT_SUMMARY             	utilized for all experiments. A light-emitting diode photobioreactor (LED PBR)
TR:TREATMENT_SUMMARY             	was engineered to provide a rectified sinusoidal waveform light profile which
TR:TREATMENT_SUMMARY             	(results in the negative half-cycle being set to zero) via two custom 4000K
TR:TREATMENT_SUMMARY             	White LED panels (Reliance Laboratories, Port Townsend WA) arranged opposite a
TR:TREATMENT_SUMMARY             	water bath facing inwards, 5% CO2 at 200 mL min-1 via in-house gas mixing and
TR:TREATMENT_SUMMARY             	custom aerators to provide sufficient mixing, 27-30°C temperature control via a
TR:TREATMENT_SUMMARY             	Huber Ministat and custom water bath (Midwest Custom Aquarium, Starbuck MN), and
TR:TREATMENT_SUMMARY             	improved light penetration at high volumes via custom flat-panel reactors (FPRs)
TR:TREATMENT_SUMMARY             	built in a circular geometry to maximize mixing (Allen Scientific Glass, Boulder
TR:TREATMENT_SUMMARY             	CO) (Figure S1). At the peak, 1,600 mol photons m-2s-1 (E) was provided as
TR:TREATMENT_SUMMARY             	measured by LightScout Quantum Meter (Model: 3415FXSE). . A single LED-PBR was
TR:TREATMENT_SUMMARY             	inoculated and entrained to sinLD cycles for two days; this entrained culture
TR:TREATMENT_SUMMARY             	was then use inoculated three biological triplicate FPRs in the LED PBR (Figure
TR:TREATMENT_SUMMARY             	S2). Reactors were cultivated under the sinLD cycle profile for an additional
TR:TREATMENT_SUMMARY             	day of entrainment prior to sampling (total of 3 days of entrainment).
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Briefly, 6 mL of 75% methanol (MeOH) was added to pellets, vortexed, and
SP:SAMPLEPREP_SUMMARY            	transferred to glass vials. 9 mL of 100% methyl tert-butyl ether (MTBE) was
SP:SAMPLEPREP_SUMMARY            	added, vortexed for 30 seconds, placed on automatic shaker for 1.5 hours at 4
SP:SAMPLEPREP_SUMMARY            	ºC, and sonicated for 15 minutes. 3.75 mL of water was added, each extraction
SP:SAMPLEPREP_SUMMARY            	was vortexed by hand for 1 minute, and centrifuged for 10 minutes at 3,270g at
SP:SAMPLEPREP_SUMMARY            	4ºC. A biphasic solution with a pellet formed: the top, green MTBE layer and
SP:SAMPLEPREP_SUMMARY            	the bottom, clear MeOH:H2O layer were separated into separate tubes and dried
SP:SAMPLEPREP_SUMMARY            	under N2,gas overnight. The pellet was stored at -80 ºC. After drying, the MTBE
SP:SAMPLEPREP_SUMMARY            	layer was resuspended in 100 uL 1:1 toluene:MeOH, transferred to a LC-MS vial
SP:SAMPLEPREP_SUMMARY            	insert, and stored at -80C for <1 month prior to MS analysis. The MeOH:H2O layer
SP:SAMPLEPREP_SUMMARY            	was resuspended in 1 mL of 1:1 H2O:MeOH, transferred to a 1.7 mL centrifuge tube
SP:SAMPLEPREP_SUMMARY            	and spun at 15,000g for 2 minutes at 4 ºC. The supernatant was split into two
SP:SAMPLEPREP_SUMMARY            	465 µL aliquots—one for GCMS and one for LC(HILIC)MS—in glass vials and
SP:SAMPLEPREP_SUMMARY            	dried under N2,gas. The protocol outlined above is suitable for filter-quenched
SP:SAMPLEPREP_SUMMARY            	cyanobacteria samples and centrifuged cell pellets. The polar methanol/water
SP:SAMPLEPREP_SUMMARY            	fraction resulting from the biphasic extraction was processed for analysis by
SP:SAMPLEPREP_SUMMARY            	hydrophilic interaction liquid chromatography (HILIC) LC-MS. Dried samples were
SP:SAMPLEPREP_SUMMARY            	resuspended in 100 µL 1:1 H2O:MeOH and 10 µL were aliquoted into a pooled QC
SP:SAMPLEPREP_SUMMARY            	sample. Samples were stored at -80 ºC until analysis. The pooled QC sample was
SP:SAMPLEPREP_SUMMARY            	mixed and aliquoted into twelve vials. A QC injection was run every tenth
SP:SAMPLEPREP_SUMMARY            	injection. The dried polar fraction for analysis by GC-MS was stored at -80 ºC
SP:SAMPLEPREP_SUMMARY            	until derivatization, immediately prior to MS analysis. Samples were derivatized
SP:SAMPLEPREP_SUMMARY            	in 30 uL methoxyamine HCl and 30 uL MSTFA, as specified in the following
SP:SAMPLEPREP_SUMMARY            	section. Ten microliters were removed from each sample to create a pooled QC
SP:SAMPLEPREP_SUMMARY            	sample, mixed, and aliquoted into thirteen vials. A QC sample was run after
SP:SAMPLEPREP_SUMMARY            	every sixth injection. The non-polar MTBE phase was processed for non-targeted
SP:SAMPLEPREP_SUMMARY            	LC-MS analysis. Twenty microliters from each sample were pooled, mixed, and
SP:SAMPLEPREP_SUMMARY            	aliquoted into thirteen pooled QC samples. QC injections were placed after every
SP:SAMPLEPREP_SUMMARY            	sixth injection.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	For non-targeted LC-MS experiments, two microliters of extract were injected
CH:CHROMATOGRAPHY_SUMMARY        	onto a Waters Acquity UPLC system in discrete, randomized blocks with a pooled
CH:CHROMATOGRAPHY_SUMMARY        	QC injection after every 6 sample injections and separated using a Waters
CH:CHROMATOGRAPHY_SUMMARY        	Acquity UPLC CSH Phenyl Hexyl column (1.7 µM, 1.0 x 100 mm), using a gradient
CH:CHROMATOGRAPHY_SUMMARY        	from solvent A (2mM ammonium hydroxide, 0.1% formic acid) to solvent B
CH:CHROMATOGRAPHY_SUMMARY        	(Acetonitrile, 0.1% formic acid). Injections were made in 100% A, held at 100% A
CH:CHROMATOGRAPHY_SUMMARY        	for 1 min, ramped to 98% B over 12 minutes, held at 98% B for 3 minutes, and
CH:CHROMATOGRAPHY_SUMMARY        	then returned to starting conditions over 0.05 minutes and allowed to
CH:CHROMATOGRAPHY_SUMMARY        	re-equilibrate for 3.95 minutes, with a 200 µL/min constant flow rate. The
CH:CHROMATOGRAPHY_SUMMARY        	column and samples were held at 65 °C and 6 °C, respectively. The column
CH:CHROMATOGRAPHY_SUMMARY        	eluent was infused into a Waters Xevo G2 Q-TOF-MS with an electrospray source in
CH:CHROMATOGRAPHY_SUMMARY        	positive mode, scanning 50-2000 m/z at 0.2 seconds per scan, alternating between
CH:CHROMATOGRAPHY_SUMMARY        	MS (6 V collision energy) and MSE mode (15-30 V ramp). Calibration was performed
CH:CHROMATOGRAPHY_SUMMARY        	using sodium iodide with 1 ppm mass accuracy. The capillary voltage was held at
CH:CHROMATOGRAPHY_SUMMARY        	2200 V, source temp at 150 °C, and nitrogen desolvation temp at 350 °C with a
CH:CHROMATOGRAPHY_SUMMARY        	flow rate of 800 L/hr.
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Waters Xevo G2
CH:COLUMN_NAME                   	Waters Acquity UPLC CSH Phenyl Hexyl (1.7 uM, 1.0 x 100 mm)
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Waters Xevo QS
MS:INSTRUMENT_TYPE               	QTOF
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	Compounds were created by clustering features using RAMClustR (Broeckling et al.
MS:MS_COMMENTS                   	2014). RAMClustR uses a similarity matric which calculates feature correlation
MS:MS_COMMENTS                   	across samples and retention time correlation between features. Hierarchical
MS:MS_COMMENTS                   	clustering of the similarity matrix was computed via the fastcluter package
MS:MS_COMMENTS                   	(Müllner 2013). The resulting clustered dendrogram is cut using DynamicTreeCut
MS:MS_COMMENTS                   	and spectra are created with clusters and features abundances from input data
MS:MS_COMMENTS                   	(Langfelder, Zhang, and Horvath 2008). The abundance for each mass in spectra is
MS:MS_COMMENTS                   	a weighted mean of feature intensity. The RAMClustR outputs are compounds
MS:MS_COMMENTS                   	(clusters of correlated features) and intensities for each sample; spectral
MS:MS_COMMENTS                   	abundance intensities reflect weighted mean of all features within the compound.
MS:MS_RESULTS_FILE               	ST001199_AN001995_Results.txt	UNITS:spectral abundance per cell	Has m/z:No	Has RT:No	RT units:No RT data
#END