Exploratory Wine Study Using SIEVE 2
Transcript of Exploratory Wine Study Using SIEVE 2
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Exploratory Wine Study Using SIEVE 2.0
Michael Athanas, Ph.D. VAST SCIENTIFIC
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B R I M S Biomarker Research Initiative in Mass Spectrometry
Mary Lopez Director
David Sarracino Manager, Biomarker Workflows
Bryan Krastins Leader Biomarker Translational Center
Amol Prakash Assoc. Director Informatics Center of Excellence
Michael Athanas Assoc. Director Informatics Center of Excellence
Jennifer Sutton Informatics Center of Excellence Project Manager
brims.center
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SIEVE 2.0 New Features
• Component Elucidator Algorithm
• 64 bit • Enhanced multi-threading • Interoperability with Protein
Center • New hierarchal component
view • Dynamic framing • PerfectPair wizard • Integrated raw file explorer • Enhanced frame target
handling • Much more….
Beta release now available
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2008 Wildfires and Wine
• Over 2790 individual wild fires • Weather conditions:
– 3 years of below normal rainfall – Lightning
• Poor air quality
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13 Data Samples # Blend Location
1 zinfandel Lake10 petite sirah Lake13 zinfandel Lake36 cabernet sauvignon Mendocino37 petite sirah Mendocino2 cabernet franc Napa3 cabernet franc Napa
20 petite verdot Napa21 cabernet franc Sonoma25 cabernet sauvignon Sonoma33 merlot Sonoma35 merlot Sonoma44 cabernet sauvignon Sonoma
http://g.co/maps/nwjf Small and diverse samples
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Sample Processing
13 samples direct LC injection
LC/MS using Thermo Q-Exactive Open Accela 1250 Triplicate measurements interspersed by single matrix blank measurements
Data analysis with SIEVE 2.0
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Statistically rigorous automated label-free LC/MS differential analysis platform
Applied to: peptide, protein, small molecule data
State 1 Raw file
State 2 raw file
State … raw file
Workflow
Align Detect Identify
Reports: •Components •Identification •Relative Quantitation •Statistical Analysis •Trend information
SIEVE Analysis Platform
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SIEVE WORKFLOW Align Detect Identify
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1. Full scan spectra are typically acquired at 1Hz to 100Hz with high mass accuracy (<5ppm).
Data File 1 Reference
Data File 2
SIEVE Workflow – Alignment 1
Intensity
Intensity
M/Z
M/Z
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SIEVE Workflow – Alignment 2
Intensity
Intensity
M/Z
M/Z
1. Full scan spectra are typically acquired at 1Hz to 20Hz with high mass accuracy (<5ppm).
2. The spectra are binned.
Data File 1 Reference
Data File 2
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X
SIEVE Workflow – Alignment 3
1. Full scan spectra are typically acquired at 1Hz to 20Hz with high mass accuracy (<5ppm).
2. The spectra are binned.
3. A dot product correlation is calculated between each pair of spectra
Data File 1 Reference
Data File 2
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Scan
# d
ata
file
2
Scan # data file 1
SIEVE Workflow – Alignment 4
Scan-to-scan correlation:
Red High Green Low
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•An overlapping tile is constructed from the next region starting from the middle of the optimal path.
SIEVE Workflow – Alignment 5
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•An overlapping tile is constructed from the next region starting from the middle of the optimal path. •The full plane is tiled and a final alignment score is calculated.
Overlapping measurements are averaged
SIEVE Workflow – Alignment 6
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Unaligned basepeaks
SIEVE Workflow – Alignment 7
Wine
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Aligned basepeaks
Alignment scores
SIEVE Workflow – Alignment 8
Wine
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Sample - Solvent blank = Analyte signals
Background Subtraction
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Adducts, fragments and multimers
[M+H]+ [M+Na]+ [M+K]+ 524.3703, z=1, I=4.2E+08, 100% 546.3517, z=1, I=1.0E+08, 24.6% 562.3232, z=1, I=1.1E+06, 0.3%
A+1
Isotopic peaks
525.3730, I=1.2E+08, 28.9%
527.3784, I=3.0E+06, 0.7%
528.3811, I=3.9E+05, 0.1%
A+2 526.3756, I=2.3E+07, 5.5%
A+3 A+4
547.3535, I=2.9E+07, 27.8%
548.3577, I=5.6E+06, 5.4%
549.3595, I=9.0E+05, 0.9%
A+1 A+2
A+3
Isotopic peaks
21.9816
37.9554
Component Detection
Constituents are represented by base component
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Component Efficiency
9 out of the 10 compounds were identified using default settings
Spiked standards in
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Frame / Feature Frame: a well defined rectangular region in the M/Z versus Retention Time plane.
L-Epicatechin MW = 290.0790
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L-Epicatechin
L-Epicatechin MW = 290.0790
# Blend Location
1 zinfandel Lake10 petite sirah Lake13 zinfandel Lake36 cabernet sauvignon Mendocino37 petite sirah Mendocino2 cabernet franc Napa3 cabernet franc Napa
20 petite verdot Napa21 cabernet franc Sonoma25 cabernet sauvignon Sonoma33 merlot Sonoma35 merlot Sonoma44 cabernet sauvignon Sonoma
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Dynamic Framing
Protein ratio = 1.155
SIEVE 1.3 SP2
SIEVE 2.0
Protein ratio = 8.456
LFTGHPETLEK
VEADIAGHGQEVLIR
Myoglobin
Reference: ABRF 2007 Study Jennifer Sutton @ Thermo
SIEVE 2.0
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Complementary Signal Detection Algorithms Basepeak Framing Component Extraction
Peak detection
Fully unbiased based upon signal intensity, MS/MS, or Frame Targets
Automated peak shape on full scan
Pattern Recognition Isotope clusters Charge state +
adduct + isotope induction
Performance Fast Faster
Signal to noise Many noise frames – use Frames Filter
Only identified components
Background subtraction
Use Frame Targets to build background list
Completely automated
Application Proteomics, Small Molecule
Small Molecule Only
Identification PD 1.x, Mascot, built in SEQUEST, DBLookup
ChemSpider, DBLookup, (Mass Frontier coming soon)
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SIEVE Frames vs. Components
0
50
100
150
200
250
0 2 4 6 8 10 12 14 16 18
Fram
e ID
Component
7 5 6
25
9 16
26
5 14
21
34
19 4
6 6 3 5 13
17 Components were identified from 224 frames. Shown in this plot are how the frames were grouped into the different components.
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Accurate Mass Identification
Mass accuracy 2.9 ppm
using 445.12 background ion
www.vastsci.com/rawmeat
Local database
chemspider web service
Component MW
List of candidates
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Identification Results
• 1224 components
• 255 identified components
• Flavonoid accurate mass database
MolWt Expression Name290.079 L-Epicatechin306.074 Epigallocatechin
314.01 D-glycoside of vanillin380.1254 Vellokaempferol 3-5-dimethyl ether382.1047 Velloquercetin 4 -methyl ether426.0945 Epigallocatechin 3-O-(4-hydroxybenzoate)436.1153 Epigallocatechin 3-O-cinnamate450.0793 Quercetin 4 -galactoside468.1051 Epigallocatechin 3-O-caffeate
472.1 Epigallocatechin 3-O-(3-O-methylgallate)477.1266 Isorhamnetin 7-alpha-D-Glucosamine;Quercetin 3 -methyl ether 7-alpha-D-Glucosam478.0742 Quercetin 7-glucuronide486.1157 Epigallocatechin 3-O-(3-5-di-O-methylgallate)494.0691 Myricetin 3-glucuronide504.1626 6-Hydroxykaempferol 3-5-7-4 -tetramethyl ether 6-rhamnoside;6-[(6-Deoxy-alpha-L-516.1262 Kaempferol 3-(3 -4 -diacetylrhamnoside)552.1474 6-Hydroxymyricetin 3-6-3 -5 -tetramethyl ether 7-glucoside562.2045 Caohuoside D;8-(3 -Hydroxy-3 -methylbutyl)kaempferol 4 -methyl ether 7-glucoside580.1423 Quercetin 3-xylosyl-(1->2)-rhamnoside
600.111 Quercetin 3-(2 -galloylrhamnoside)610.1317 Quercetin 3-(3 -p-coumarylglucoside)610.1528 Rutin;3-3 -4 -5-7-Pentahydroxyflavone 3-rutinoside;3-Rutinosylquercetin;Birutan;Qu 636.1474 Kaempferol 3-(4 -acetyl-6 -p-coumarylglucoside)
640.127 Quercetin 3-glucuronide-7-glucoside640.1634 Tamarixetin 3-glucosyl-(1->2)-galactoside;Quercetin 4 -methyl ether 3-glucosyl-(1
662.163 Kaempferol 3-(2 -3 -diacetyl-4 -p-coumarylrhamnoside668.1583 Euphorbianin;Quercetin 3-(6 -acetylglucosyl)-(1->3)-galactoside;3-[[3-O-(6-O-Ace724.1787 Platanoside;Kaempferol 3-(2 -3 -di-(E)-p-coumaroylrhamnoside);3-[[6-Deoxy-2-3-bi756.1685 Quercetin 3-(3 -6 -di-p-coumarylglucoside)770.1841 Kaempferol 3-(3 -p-coumaryl-6 -ferulylglucoside)772.1845 Quercetin 3-O-beta-(6 -O-E-p-coumaroylglucoside)-7-O-beta-glucoside
….
http://metabolomics.jp
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Cluster Wine Flavonoids
Clustering based upon signal intensity profile
Flavonoid database
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Absolute Quantitation Calibration Curve Method
Dilution series at four concentrations (.02, .04, .2,.4) mg/ml in 10% methanol
LC/MS using Thermo Q-Exactive
Data analysis with SIEVE 2.0
Epicatechin Catechin Orientin Luteolin
Ellagic Acid Quercetagetin
Chrysin Genistein
Rhamnetin Tamarixetin
Standards
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Linear Regression
Observed value in Zinfandel from Lake (16ug/ml)
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Linear Regression
Observed value in Cabernet Sauvignon from Mendocino (74ug/ml)
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Absolute Quantitation
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
mg/
ml
Quercetagetin
L-Epicatechin
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Contaminant Response
MolWt FORMULA NAME209.9406 C7H5Cl3O 2,4,6-Trichloroanisole150.0681 C9H10O2 2-Methoxy-4-vinylphenol (4-Vinylguaiacol)168.1514 C11H20O 2-Methylisoborneol122.0732 C8H10O 4- ethylphenol152.0837 C9H12O2 4-ethylguaiacol 138.0681 C8H10O2 4-methylguaiacol108.0575 C7H8O Cresol164.0837 C10H12O2 Eugenol96.02113 C5H4O2 Furfural182.1671 C12H22O Geosmin124.0524 C7H8O2 Guaiacol286.1053 C13H18O7 ß-D-glycoside of Guaiacol
314.01 C14H18O8 ß-D-glycoside of vanillin154.063 C8H10O3 Syringol
Possible smoke related contaminants
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Contaminant Response
0.0000
0.0050
0.0100
0.0150
0.0200
0.0250
0.0300
0.0350
0.0400
0.0450
0.0500
2-Methoxy-4-vinylphenol (4-Vinylguaiacol)
4- ethylphenol
Eugenol
Furfural
Syringol
D-glycoside of Guaiacol
D-glycoside of vanillin
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Summary Deep appreciation for superior expert laboratory craftsmanship to:
Mark Dreyer, Applications Specialist, ThermoFisher Thomas Collins, Ph.D, Senior Manager Research and Development, Treasury Wine Estates
For more information: [email protected] http://sieve.vastscientific.com http://vastscientific.com/rawmeat
Team SEIVE
Mary Lopez Amy Zumwalt Jennifer Sutton Mark Sanders David Peakes Gouri Vadali Michael Athanas