HPLC-MS/MS and Metabolomics - Ohio State University › sites › default › files ›...
Transcript of HPLC-MS/MS and Metabolomics - Ohio State University › sites › default › files ›...
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HPLC-MS/MS and
Metabolomics
Yu Cao, Ph.D.
CCIC MS&P Summer Workshop
July 2016
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Publication in Metabolomics
Number of publications per year
Search engine: Web of Science
Topic: “metabolomics”
0
2000
4000
6000
8000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
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Applications of metabolomics in cancer researchKathleen A. Vermeersch and Mark P. Styczynski
J. Carcinogenesis, 2013, 12, doi: 10.4103/1477-3163.113622
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Metabolomics short course at ASMS 2014
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INNOVATION
Metabolomics: the apogee of the omics trilogyGary J. Patti, Oscar Yanes and Gary SiuzdakMolecular Cell Biology, 2012, 13, 263-269
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Sample Preparation
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Sample Preparation Sample prep often most consuming (difficult) step
Sample prep/clean-up separates interfering species from analyte
Example: analysis of drug and metabolites in plasma need to remove protein interferences
Off-line or in-line from MS/MS detection
Sample prep/clean-up to concentrate analyte
Example: Pesticides in drinking water
Basic principle of sample prep involves preferential binding of analyte over interfering species or vice versa, followed by elution to MS/MS
Separation technologies
essential in sample prep
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“General Considerations” when dealing
with samples for MS or MS/MS
Ionization method?
Instrument availability
Sensitivity/Quantification
Time of analysis
“In vivo” sample pre-MS treatment?
Chromatographic/extraction methods: the shorter, the better
GC, HPLC, zip-tip, solid phase extraction (SPE), dialysis, etc.
Derivatization: the simpler, the better
to increase volatility (GC); to study neutral loss; to increase ionization efficiency
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MethodSeparation based
on
Separation done
usingFurther steps
Liquid-liquid
Extraction
Partitioning in one
of two liquid
phases
Glassware
Types of Separation Technologies for Molecules
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Liquid-Liquid Extraction
An immiscible solvent
is added to the sample
which then separates into 2
distinct liquid phases.
Some sample analytes will
go into the bottom
phase (Aqueous), some will separate
into the top phase (Organic)
Large solvent consumption
Time/labor intensive
May need evaporation step
>1 extraction if mixture of analytes
Emulsions and contamination issues
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MethodSeparation based
on
Separation done
usingFurther steps
Liquid-liquid
Extraction
Partitioning in one
of two liquid
phases
Glass ware
Solid-phase
Extraction
Adsorption/
partitioning onto
solid sorbent
Cartridges, disks,
filters, plates
Types of Separation Technologies for Molecules
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Solid-Phase Extraction
Uses chromatographic particles
Packed-bed column cartridges
or similar
Well established commercial
technology (1978)
1000s literature refs
Clean extracts
Good recovery for polar analytes
Sample must be in liquid state
Driving force: gravity, pressure, vacuum
Automation
cartridges
96 well plate
disk
http://solutions.3m.com/wps/portal/3M/en_US/Empore/extraction/
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Solid-Phase Extraction
Types of Chromatography
Normal Phase
Non-polar mobile phase
Polar stationary phase
Reversed Phase Most common
Polar mobile phase
Non-polar stationary phase
Ion Exchange
Buffer/Ionic mobile phase
Cationic/Anionic exchange
stationary phase
Manufacturer Brand Name
Waters SEP-PAK
OASIS
Varian BondElute
Baker BakerBond
3M Empore
Supelco Supelclean
+ Many Others
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Solid-Phase Extraction - common protocol
Procedure
Sample
Prepare: Homogenize, suspend,
centrifuge, etc…
Load onto conditioned cartridge
Wash off weakly retained interferences
with weak solvent
Elute product with strong solvent
Analyze: HPLC, GC-MS, LC-MS/MS
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pure analyte
(control)
engine oil contaminated
parking lot oil
same as b) after organic
matter removal by SPE
(KNO3)nK+
Gapeev, A. and Yinon, J. J. Forensic Sci. 2004, 49
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MethodSeparation based
on
Separation done
usingFurther steps
Liquid-liquid
Extraction
Partitioning in one
of two liquid
phases
Glass ware
Solid-phase
Extraction
Adsorption/
partitioning onto
solid sorbent
Cartriges, disks,
filters, plates
Dialysis/UltrafiltrationMolecular
weight/sizeSlideAlyzer/tubing
Types of Separation Technologies for Molecules
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Tubing or Slide A-Lyzer
Diff MWCO ranges
0.1– 0.5 mL capacity
Useful for biologicals
Sample
loading
here
Dialysis
Spin filters
polyethersulfone membrane
(Vivaspin, ex)
volumes from 100 μl to 20 ml,
with a range of molecular
weight cutoff values from Mr = 3 000 - 100 000
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MethodSeparation based
on
Separation done
usingFurther steps
Liquid-liquid
Extraction
Partitioning in one
of two liquid
phases
Glass ware
Solid-phase
Extraction
Adsorption/
partitioning onto
solid sorbent
Cartriges, disks,
filters, plates
Dialysis/UltrafiltrationMolecular
weight/size
SlideAlyzer, tubing,
spin filter
Precipitation Solubility
Types of Separation Technologies for Molecules
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Blood – Plasma and Serum (~80% in metabolomics study)
Whole
blo
od
anti-coagulant
(EDTA or heparin
or citrate)
unclotted blood
clotted blood
natural
process of
clotting at room
temperature, 30-
60 min
• 60% in metabolomics
• Plasma collection can be more reproducible
• More proteins
• Anticoagulants may affect separation and detection
• 20% in metabolomics
• Possible enzymatic
degradation
• Possible loss of some
metabolites during clot
Dajana Vuckovic (2012) Anal Bioanal Chem, 403, 1523
adapted from Junhua Wang, Ph.D. at Thermo
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The Choice of Anti-coagulants Affect the Analysis
http://www.bioreclamationivt.com/search/all/rat%20plasma
Citrate peaksevere suppression of the underneath peak
using both reversed-phase HPLC and HILIC
Vuckovic, (2011) Anal. Chem.
EDTA peak
large peak with a retention time of ~10 min
cause severe ionization suppression
Pereira, (2010) Metabolomics
Lithium Heparin
significant loss of features in the 500–650-s
region in negative ESI mode
Wedge, (2011) Anal. Chem.
Example: commercially available rat plasma
adapted from Junhua Wang, Ph.D. at Thermo
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Serum and Plasma – Deproteinization
http://www.ionsource.com/tutorial/ms
quan/prep.htm
Want, Siuzdak (2006) Anal. Chem. 78:743
Protein removal efficiency Metabolite
coverage
methanol (98 %) High-2056
ethanol (96 %) Higher-1919
acetonitrile (94 %) Medium-1606
acetone/methanol (95 %) High-2136
heat and acid treatment (98 %) Low-942
1:3 plasma: solvent (v/v)
1:2 to1:5 used in
literatures
adapted from Junhua Wang, Ph.D. at Thermo
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95% water
typically protein free
urea, creatinine and uric acid typically present as products of nitrogen metabolism and needed to be removed from the body
urea present at up to 2%
salts Na, Cl, K, PO4, SO3 I, NH3
pH 4-8,
meat diets tend to produce a lower pH than vegetarians
other metabolites – typically lower MW species such as amino and organic acids and lower concentrations of high MW lipids (cf serum)
A relatively “simple” biofluid
Urine (7-8% in metabolomics study)
No, still a lot of proteins! If you dry down, you will see them!
Actually detect many species
that are different from blood.
adapted from Warwick Dunn, University of Birmingham, UK
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Gika, (2008) J. Sep. Sci. Hydrophilic interaction and reversed-phase ultra-performance liquid chromatography TOF-MS for metabonomic analysis of Zucker rat urine.
Callahan, (2009) J. Sep. Sci. Profiling of polar metabolites in biological extracts using diamond hydride-based aqueous normal phase chromatography.
Collection
Dilution and
centrifugation
(high water)
RP-LC-MS
analysis
Dilution and
centrifugation
(high organic)
HILIC-LC-MS
analysis
Urine - LC-MS analysis
Recommend: using 5k MWCO
Lyophilization
adapted from Warwick Dunn, University of Birmingham, UK
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Brain contains about 160 ml on average
0.8% proteins
Water
Inorganic salts
Metabolites including neurotransmitters and GABA, glutamate,
glutamine etc
Wishart , (2008) J Chromatogr B. The human cerebrospinal fluid metabolome
http://www.csfmetabolome.ca/scripts/CSF_browse.cgi
Collect, typically a lumbar puncture, freeze and store at -80ºC
Cerebrospinal Fluid (CSF) (~2% in metabolomics study)
(1) Quench the metabolism; (2) prepare and analyze as for serum/plasma!
adapted from Warwick Dunn, University of Birmingham, UK
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Mammalian Tissues (~5% in
metabolomics study) Tissues are an ensemble of interacting cells
Blood presence in tissue, influences metabolome of tissue!
Different types of tissues
nervous tissue, central nervous system (brain, spinal cord, periphereal nerves)
epithelial tissue, layers of cells that cover organs such as skin
muscle tissue, smooth, skeletal and cardiac, produces force and causes motion
connective tissues are fibrous tissues
adapted from Warwick Dunn, University of Birmingham, UK
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Mammalian Tissues Extraction 10-200 mg of tissue extracted
Extraction typically involves homogenisation of tissue
using a homogeniser or a shaker with stainless steel balls
manual with a mortar and pestle in liquid nitrogen
Typically perform a modified Folch extraction
methanol/water/chloroform
two phases collected (polar and non-polar)
Wu, (2008) Anal Biochem. 15;372(2):204
Lyophilisation, grinding and extract powder is a second option
Bobeldijk, (2008) J Chromatogr B, 871(2):306
Wheaton Glass Tissue Grinder
0.2 mL, minimal sample loss
adapted from Warwick Dunn, University of Birmingham, UK
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Mammalian Tissues: Folch extraction
Collect and freeze immediately (10-200mg)
Thaw on ice and wash in cold saline
Homogenise in appropriate solvent at 4ºC
(2:2:1.8 methanol:chloroform:water)
Shake at 4ºC
Centrifuge, two phase supernatant (chloroform at bottom)
Transfer two phases to separate tubes for analysis
Add 1:1 chloroform:water
adapted from Warwick Dunn, University of Birmingham, UK
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A Fully Miscible “Cocktail” Solvent Mixture
for Tissue Extraction
“Metabolomics Approach
Studies the Metabolic
Perturbation Induced
Molecular Changes in Retinal
Degeneration Disease”
Wang, Siuzdak et al
ACN/MeOH
163 x 6 x
57 x 17 xinfinity
276 x
Rats’ eyes for retinal
degeneration disease.
adapted from Junhua Wang, Ph.D. at Thermo
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Cell Line Sample Preparation
(cold methanol; methanol/ammonium
bicarbonate; liquid nitrogen into
cells/methanol)
Centrifugation
(with filtration)
LC/IC-MS
experiment
Wash (fast <10s,
physiological buffer+H2O )
adherent mammalian cells
suspension mammalian cells
metabolism
quenching/extraction
scrap/suspend/centrifuge
suspend/centrifuge
LC/IC-MS
experiment
adapted from Junhua Wang, Ph.D. at Thermo
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HPLC
Mechanism, Method Setup, Examples
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Generic LC Method Development
Column selection
Bedding chemistry, dimension, bead size
Buffers (mobile phase)
Ionic strength, pH, pairing reagent
Fine tune the method
Temperature
Gradient slope
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Retention Mechanisms
Phenomenex
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Retention Mechanisms
Phenomenex
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Mobile Phase Composition
Phenomenex
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Chart of Mobile Phase Selection
Waters Corporation
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pH Selectivity
Waters Corporation
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Organic Modifier Selection
Waters Corporation
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Column Configurations and
ApplicationsColumn
Type
ID (mm) Length
(mm)
Particle
Size (mm)
Flow Rate
Ranges
Applications Sensitivity
Increase
Nano 0.1-0.075 150 3.5 100-600
nL/min
Proteomics,
Sample Limited
PTM
Characterization
2000-
3700
Capillary 0.3, 0.5 35-250 3.5, 5 1-10
mL/min
Peptide Mapping
LC/MS100
Micro Bore 1.0 30-150 3.5, 5 30-60
mL/min
High Sensitivity
LC/MS
20
Narrow
Bore
2.1 15-150 3.5, 5 0.1-0.3
mL/min
Sample Limited.
LC/MS
5
Analytical 4.6 15-250 3.5, 5 1-4
mL/min
Analytica; 1
Semi-prep 9.4 50-250 5 4-10
mL/min
Small Scale
protein
purification
--
Preparative 21.2 50-250 5, 7 20-60
mL/min
CombiChem
purification
--
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Column Comparison by Vendors
Imtakt
Phenomenex
Waters
Others
Details refer to the pdf files
http://www.imtaktusa.com/products/
http://phx.phenomenex.com/lib/po26681014_w.pdf
http://www.waters.com/webassets/cms/library/docs/
720002241en.pdf
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LC Tips on Peak Shape Issues
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LC Tips on Peak Shape Issues
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LC Tips on Peak Shape Issues
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Watch the Sample Carry-over
(Contamination) All the Time
http://www.sielc.com/Products_Autosamplers.html
Quantitation
Qualitative studies
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Other separation techniques
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2D LC-MS
Waters M-class
Thermo RSLC
Different MS
instrument
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2D GC-MS
http://www.chromacademy.com/essential-guide/sept_2011/2d_gc_figure15.jpg
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CE-ESI-MS
Ile
Leu
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Ion Mobility
ASMS Ion Mobiilty Short Course 2016
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Metabolomics in MS&P
Projects going on
Eerie lake project
Amino acid analysis in animal models
Oligonucleotide project
Unknown identification in smoker plasma
Honey bee project
Drug stability
TMAO analysis for breast cancer study
Sample type:
Plant extract
Coating material
Environmental
Bio-fluid
Tissues
etc.
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Mass spec analysis
Untargeted metabolomics: Q-TOF
Targeted metabolomics: Q-TOF and QQQ
Q Exactive plus
15T FT ICR
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Q-TOF
Benefits:
Higher resolution & mass accuracy
All ions recorded in parallel
Ref: Chemushevich, 2001
Q1 q2 TOF
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Chromatogram of Oligonucleotides std
on Q-TOF
Sample: Bruker standard 217028 and 206200 (MW: 1K~10K Da)
0 5 10 15 20 25 30 Time [min]
0.5
1.0
1.5
2.0
4x10
Intens.
Olistd_040815_03_BE4_01_171.d: BPC -All MS
1
2
3
4
5
6
7
8
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MS of Peak 1 at 2.4 min
402.9755
585.6075 1172.2196
1300.1652
-MS, 2.4min #145
1172.2196
1172.7220
1173.2211
1174.22371175.2245
-MS, 2.4min #145
585.6075
586.1094
586.6119587.1097
-MS, 2.4min #145
0.00
0.25
0.50
0.75
4x10
Intens.
0.00
0.25
0.50
0.75
1.00
4x10
0.0
0.2
0.4
0.6
0.8
4x10
400 600 800 1000 1200 1400 m/z
1171 1172 1173 1174 1175 1176 1177 m/z
585.0 585.5 586.0 586.5 587.0 587.5 588.0 m/z
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MS of Peak 6 at 19.0 min
402.9783555.7557
667.1091834.1345
981.9848
1112.5167
1395.7077
1669.2783
-MS, 19.0min #1138
1668.7765
1669.2783
1669.7776
1670.2807
1670.78581671.2796 1671.7823
-MS, 19.0min #1138
1112.1838
1112.5167
1112.6720
1112.8509
1113.1849
1113.5211
1113.8554 1114.1830
-MS, 19.0min #1138
0.00
0.25
0.50
0.75
4x10
Intens.
0.00
0.25
0.50
0.75
1.00
4x10
0
2000
4000
500 750 1000 1250 1500 1750 2000 2250 2500 2750 m/z
1668.0 1668.5 1669.0 1669.5 1670.0 1670.5 1671.0 1671.5 1672.0 1672.5 m/z
1111.5 1112.0 1112.5 1113.0 1113.5 1114.0 1114.5 1115.0 1115.5 m/z
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Untargeted Metabolomics
RPLC-MS
L_6996_062014_01_BB5_01_1132.d: BPC -All MS
L_6996_061914_01_BB5_01_1108.d: BPC +All MS0
2
4
6
5x10
Intens.
0.0
0.2
0.4
0.6
0.8
6x10
Intens.
0 10 20 30 40 50 Time [min]
MS -
MS +
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311.1698
452.2813
540.3352
L_6996_062014_01_BB5_01_1132.d: -MS, 32.7min #1963
0.0
0.2
0.4
0.6
0.8
1.0
5x10
Intens.
200 400 600 800 1000 1200 1400 m/z
RPLC-MS
at 32.7
min
454.2978
496.3465
620.4440
664.4708
708.4972
991.6849
L_6996_061914_01_BB5_01_1108.d: +MS, 32.7min #1965
0
2
4
6
5x10
Intens.
200 400 600 800 1000 1200 1400 m/z
MS -
MS +
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Untargeted HILIC-LC-MS
L_6996_062214_01_BB5_01_1181.d: BPC -All MS
L_6996_062314_01_BB5_01_1206.d: BPC +All MS0
2
4
6
5x10
Intens.
0.0
0.2
0.4
0.6
0.8
6x10
Intens.
0 5 10 15 20 25 30 35 Time [min]
MS -
MS +
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133.0133
242.0782
302.0988
611.1400
L_6996_062214_01_BB5_01_1181.d: -MS, 18.2min #1092
0.0
0.5
1.0
1.5
2.0
4x10
Intens.
200 400 600 800 1000 1200 1400 m/z
198.1228
258.1098
515.2127
L_6996_062314_01_BB5_01_1206.d: +MS, 18.2min #1093
0
1
2
3
5x10
Intens.
200 400 600 800 1000 1200 1400 m/z
HILIC-MS
at 18.2
minMS -
MS +
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Chromatogram of m/z at 258.1098
– RPLC v.s. HILIC
L_6996_061914_01_BB5_01_1108.d: EIC 258.1100±0.1 +All MS
L_6996_062314_01_BB5_01_1206.d: EIC 258.1100±0.1 +All MS0.0
0.5
1.0
1.5
4x10
Intens.
0
1
2
3
5x10
Intens.
0 10 20 30 40 50 Time [min]
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QQQ
Benefits:
Simple, ion filter
Good for quantification
Q1 q2
Q3
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MS/MS Scan Modes
Select
Select
Select Select
Scan
Scan
Scan Scan
Dissociate
Dissociate
Dissociate
Dissociate
Product Ion Scan
Neutral Loss Scan
Precursor Ion Scan
Selected Reaction
Monitoring (SRM)
D
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Selected Reaction Monitoring
Q1 Q3(gas)Source Detector
Select one m/z
(fixed Vac/Vdc)
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MS/MS at Different Collision Energies
Thermo provided database
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Targeted metabolomics
min5.20 5.40 5.60 5.80 6.00 6.20 6.40 6.60 6.80
%
0
100
F3:MRM of 1 channel,ES+
TIC
12182014_30349_STD_GS_IS L_50
sample after GS, centrifuge, filter, fresh prep in 50%B
2.174e+007IS;6.25;2232479.75;21550402
min
%
0
100
F1:MRM of 1 channel,ES+
TIC
12182014_30349_STD_GS_IS L_50
sample after GS, centrifuge, filter, fresh prep in 50%B
3.462e+006Clo;6.14;382144.81;3449917
min
%
0
100
F2:MRM of 1 channel,ES+
TIC
12182014_30349_STD_GS_IS L_50
sample after GS, centrifuge, filter, fresh prep in 50%B
4.446e+006Imi;6.24;439232.47;4237493
5.84
min
%
0
100
F4:MRM of 1 channel,ES+
TIC
12182014_30349_STD_GS_IS L_50 Smooth(Mn,2x3)
sample after GS, centrifuge, filter, fresh prep in 50%B
5.093e+006Thi;5.83;1057297.75;5049061
256.0/209.0
250.0/169.0
260.0/213.0
What are we detecting and which instrument is used???
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Quantitation upon AUC
Compound name: Imi
Correlation coefficient: r = 0.998517, r^2 = 0.997036
Calibration curve: 0.730897 * x + 0.110503
Response type: Internal Std ( Ref 4 ), Area * ( IS Conc. / IS Area )
Curve type: Linear, Origin: Include, Weighting: 1/x, Axis trans: None
ng/mL-0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500
Re
sp
on
se
-0
20
40
60
80
100
120
140
160
180
200
220
240
260
280
300
320
340
360
Compound name: Clo
Correlation coefficient: r = 0.999227, r^2 = 0.998455
Calibration curve: 0.67092 * x + 0.0383766
Response type: Internal Std ( Ref 4 ), Area * ( IS Conc. / IS Area )
Curve type: Linear, Origin: Include, Weighting: 1/x, Axis trans: None
ng/mL-0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500
Re
sp
on
se
-0
20
40
60
80
100
120
140
160
180
200
220
240
260
280
300
320
340
Std curve
QCs
Samples
Blanks
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Bioinformatics in
Metabolomics
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ESI-MSn Libraries# Spectra # Compounds Notes
METLIN > 68,000 13,048 Public, no download
mzCloud > 416,000 2,975 Public, no download
MoNA > 236,000 69,946 Public, no download
MassBank > 28,100 > 43,000 Public, downloadable
HMDB 9,500 Public, downloadable
GNPS > 9,000 ~2200 NP Public, downloadable
ReSpect (MSn) > 9,000 3,595 Public, downloadable
NIST14 MS/MS > 234,000 9,344 Commercial
Wiley MSforID > 10,000 > 1,200 Commercial
MetabolomicsWorkBench Public, no download
LipidBlast 200,000 Public, downloadable
Lipid Maps 37,500 Public, downloadable
LipidSearch >1500,000 lipid ions Commercial
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Database Search – Progenesis QI
http://www.nonlinear.com/progenesis/qi/how-it-works/
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Import Data
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Data Alignment
MS -MS +
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Peak Picking
MS -MS +
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Review Deconvolution
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Identify Compounds
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Review Compounds
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Pathway Analysis
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Other Computational Tools for
Metabolomics
MS-DIAL
Data dependent and/or independent MS/MS experiments
MS-FINDER
GC/MS data alignment, database search (commercial)
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Anal. Chem. 2014, 86, 9583-9589
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Anal. Chem. 2014, 86, 9358-9361
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Thank you!