Best Practices for Peptide Quantitation on a Triple ... · The world leader in serving science...
Transcript of Best Practices for Peptide Quantitation on a Triple ... · The world leader in serving science...
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The world leader in serving science
iQuan: Best Practices For Peptide Quantitation On a Triple Quadrupole Mass Spectrometer
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
![Page 4: Best Practices for Peptide Quantitation on a Triple ... · The world leader in serving science iQuan: Best Practices For Peptide Quantitation On a Triple Quadrupole Mass Spectrometer](https://reader036.fdocuments.us/reader036/viewer/2022081512/5ad1fb737f8b9abd6c8c313e/html5/thumbnails/4.jpg)
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Protein Quantitation with Confidence
• Goal: Addressing protein and peptide quantitation with the same ease as that of traditional small molecule quantitation
• Challenges: • Transitioning from traditional workflows for small molecules • Developing robust, sensitive, reproducible methods regardless of expertise • Addressing sample preparation complexity • Reducing cost/sample
• Confidence from Sample Preparation, LC-MS, to data analysis and reporting
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• Ensuring reproducibility is a critical challenge • Existing in-solution trypsin digestion of proteins is
• Time consuming • Requires multiple steps (protein assay, denaturation, reduction and alkylation) • Labor resulting in increased chances of errors, and lack of reproducibility
• SMART Digest Kit • Highly reproducible • Quick and easy to use • Detergent free • Less prone to chemically-induced PTMs • Autolysis-free • Amenable to automation
Sample Prep with SMART Digest Kit: Why?
https://www.thermofisher.com/order/catalog/product/60109-101
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Biologically interesting differentially expressed proteins PTM’s
Four basic components of Peptide Quantitation Quantifying with confidence multiple
targets Complex matrices Limited sample volume
Peptide Targets
Selection of peptides as surrogate candidates for protein quantitation
Peptide target optimization
Internal/externalstandard
Quantitation
SRM method
QQQ-based Quantitation
How Do We Get Started?
Challenge:
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• Immuno-purification
• Subcellular fractionation
• Chromatographic separation
Sample cleanup
Optimization Process
Biological Sample
Enrichment
Target Proteins
Target Peptides
Trypsin Digestion
Heavy peptides added for
quantitation
Final SRM-MS Method
SRM Method Optimization
• Gradient optimization
• RT Scheduling
• Transition refinement
• Internal Standard Spike Level
• Cycle Time
• CID Gas Pressure
• Collision Energy
• Run Standards
• Quantify targets in samples
• Process data
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• For the Top-Class QqQ available today, 10’s-100’s amol can be detected
Questions • How much total sample do you need to load to get this range
(or higher) of your target peptides? • What do you need to do to enrich your sample to get ~100
amol on column?
For Targets Without Empirical MS (Discovery data)…
Do the math!
Sample Enrichment Equivalent Sample Volume
Plasma Depletion (protein level) ~220 nL per inj.
Orthogonal Chromatography (peptide level) ~500 - 1500 nL per inj.
Antibody Enrichment (peptide level) ~100-1000 µL per inj.
1 ug neat plasma (no enrichment) ~ 15 nL
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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• Considerations: • Can you get multiple peptides from each
protein? • Do you need to look at site-specific
PTMs? • What do you do if you can only detect 1-
2 peptides per protein? • What do you do if the data from each
peptide for a protein give different quantitative results?
How Many Peptide Candidates per Protein is Ideal?
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If yes
Peptide Selection Criteria
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Differentially Expressed Proteins from DDA
Control
Experimental
Surrogate peptide candidates for quantitation
No peptides with Methionine*
Unique only to Target Protein?
Identified Peptides
Select higher abundance peptides
Good chromatographic
peak shape?
If yes
Multiple peptide targets per protein is ideal
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External Standards Sample
SMART Digest Kit
Standard
Peak Integration
LC/MS
SMART Digest Kit
LC/MS
Peak Integration
Target Protein Concentration
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Stable Isotope Labeled (SIL) Internal Standards Sample
SMART Digest Kit
Standard
Peak Integration
LC/MS
SMART Digest Kit LC/MS
Peak Integration
Target Protein Concentration
ABCDEFX
ABCDEFX
0123456
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UnlabeledSIL
Concentration
Standard 1
Unlabeled SIL
https://www.thermofisher.com/br/en/home/life-science/protein-biology/peptides-proteins/custom-peptide-synthesis-services/peptides-targeted-quantitation.html
R (Δ10Da) K (Δ8Da)
R (Δ10Da) K (Δ8Da)
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RT: 16.87 - 18.70
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RT: 16.87 - 18.70
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Advantages of SIL Standards
Unlabeled
SIL
446.298m/z
609.360m/z
696.392m/z
797.440m/z
912.468m/z
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[ , , , ,
454.312m/z
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704.406m/z
805.454m/z
920.482m/z
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• Helps with ID due to same RT and fragment ratio pattern • Serves as Internal Standard for Sample Prep
• Each SIL spiked in at same concentration, every sample should have similar SIL Peak Area
• Using SIL’s for each peptide can improve precision (reproducibility) of quantitation
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Questions
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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• Large number of targets
• “Automated”
• Specific softwares (Skyline)
• LC multiple targets/run
Two methods for CE optimization
• Few targets
• Manual Optimization
• Direct infusion
• One target at a time
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Collision Energy (CE) Optimization
• On a triple quadrupole MS, each product ion is made separately by CID, and transferred to Q3 and the detector
• CE can be optimized for each Q3 product ion individually • Multiple product ions should be monitored in complex matrices
• Confirms peptide ID and provides a means to determine if there are interferences
http://www.nature.com/nmeth/journal/v9/n6/full/nmeth.2015.html
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CE optimization for large number of precursors
https://skyline.gs.washington.edu/labkey/wiki/home/software/Skyline/page.view?name=tutorial_optimize_ce
• Efficiently performed utilizing the LC system and software such as Skyline
• Start with >5 fmol on-column for nanoflow (above LOQ)
• Select fragment ions to target • If >10 peptides require CE
optimization, first find RTs for the LC method, then schedule CE optimization runs
• Most vendors provide a starting “CE regression equation” for their platform
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• TSQ Quantiva™ has the following recommended CE regression equations for peptides at CID gas pressure of 1.5 mTorr. • 2+ precursors: CE = m/z * 0.0339 + 2.3597
• 3+ precursors: CE = m/z * 0.0295 + 1.5123
• CE regression equations can be adjusted based on your peptide set.
Start with Recommended CE Regression Equations
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• Skyline generates the CE step gradient for each transition • Transition lists can be imported
into the TSQ Method Editor • Automatic Method Exports from
Skyline are available in TSQ v 2.1 software
• Product ion m/z is stepped in 0.01 m/z to associate steps in CE
• Large numbers of peptides (>10) may require scheduled methods for CE optimization
LC-SRM-MS Methods Can Be Generated and Imported
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• Import data for acquired CE optimization runs back into Skyline • Choose for “precursor” or “product” optimization (optimal CEs
may be different) • Save as a CE Optimization Library, and the settings will be
exported for all methods with these optimized peptides.
CE Step Gradient for On-Line Optimization
Precursor Level Optimization Product Level Optimization
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Automated CE optimization complete using LC
Optimal CE for Each Fragment
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Questions
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Select precursor m/z Quad resolution Optimize RF lens (best ion transmission for each precursor) Choose CID gas Pressure Collision energy range CE step number
Click optimize to start
Manual Tune Page Optimization
• Infusion-based approach
• Samples must be more concentrated and have some organic solvent for better ESI performance
• MS ramps voltages
• XICs are plotted to determine optimal settings
• PDF report is generated
• Optimized settings can be pasted into Method Editor
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Select Unknown Product Ions Top N (how many fragment ions to optimize) Low mass exclusion (doesn’t select ions below this m/z) Minor mass losses can also be excluded. Click on Edit Mass List, select masses to exclude.
Optimization Without Known Fragment Ions
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Example Optimization Report
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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Ion ratio confirmation in matrix background
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Neat Standard
Standard in Matrix 1fmole-PRTC2 #3262-3507 RT: 24.07-24.47 AV: 61 NL: 7.21E3F: + c NSI SRM ms2 422.432 [559.309-559.311, 674.329-674.331, 731.350-731.352]
559.310m/z
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PRTC-60mingrad #18130-18865 RT: 23.46-24.40 AV: 49 NL: 2.01E5F: + c NSI SRM ms2 422.432 [559.309-559.311, 674.329-674.331, 731.350-731.352]
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• Ensure none of the target peaks have interference from the matrix background (peak splitting, shoulders).
• Modify the gradient to help shift interferences
If CE optimization done neat, check signal in the matrix
Short Gradient Long Gradient
Interferences resolving Interferences
closely eluting to target
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Goal: Maximize the time between targets and minimize the effect of the background matrix, while eluting in the shortest time possible.
Optimization of LC gradient
Gradient Length
Chromatographic Resolution
Sensitivity Reproducibility Sample Throughput
Short
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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Method Editor for Thermo Scientific™ TSQ Quantiva™
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Method Editor for Thermo Scientific™ TSQ Quantiva™
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Parameter Selection for Targeted Peptide Quantitation Set chromatographic peak width
Use cycle time for best sampling frequency
Set cycle time to get 10-15 points across the peak
If RF Lens was not optimized for each target, use calibrated value
Q1 and Q3 Resolution can be individually set for targets in the SRM table, or globally here
Choose the CID gas pressure you optimized with
Chromatographic Filter provides “on the fly” signal averaging
Features new to
v2.1 software
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Use the peak widths from narrowest target peaks (at lower concentrations).
peak width cycle time 9.6 seconds/0.64 seconds = 15 scans
Cycle time determination
= Scans across the peak
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0.7 u
Note: 0.7 FWHM is equivalent to 1.0 mass width at base of peak (m/z scale)
Quadrupole Unit Resolution (0.7 FWHM)
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The Effect of Q1 Resolution on Intensity
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30Time (min)
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100
Rel
ativ
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nce
0
20
40
60
80
10015.99
13.43
9.32 19.4917.2018.82
21.5720.3815.089.92 23.009.02 12.4310.067.951.61 25.60 26.507.77 27.3825.46 28.097.031.94 5.213.211.2616.03
13.49
17.269.37 19.5218.87
18.1515.119.95 20.419.06 23.0412.49 21.628.10 10.101.61 7.736.981.76 27.24 28.1926.6423.54 25.24 29.015.753.091.4216.06
13.52
17.29
19.539.4014.07 18.929.98 15.1412.509.068.23 20.9510.15 21.857.85 23.061.64 23.286.93 27.70 28.8927.021.81 5.25 25.743.590.46
NL:1.20E7TIC MS 040815_SSP_HLnoHeLa_BRIMSQ_PF_0-7Res_005
NL:7.12E6TIC MS 040815_ssp_hlnohela_brimsq_pf_0-4res_007
NL:1.94E6TIC MS 040815_ssp_hlnohela_brimsq_pf_0-2res_012
Q1 = 0.7
Q1 = 0.4
Q1 = 0.2
• PRTC peptide mix spiked into HeLa and analyzed with the same gradient and method, only Q1 resolution was changed
unit resolution
narrower isolation width
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Isobaric Discrimination – Effect of Increasing Resolution
m/z
100
0
10
20
30
40
50
60
70
80
90
107.6
115.7 183.7
155.6
144.6 130.7 250.0 172.6
118.5
157.8 131.7
115.7
Unit Resolution isolation
*
*
*
120 140 160 180 200 220 240 260 280 300
4.9
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
183.8
107.5
155.6
166.7 182.7 250.1
Hi Resolution Isolation m/z 250.1
Q1 set to pass only sulfonamide
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SRM vs HSRM
RT :0.00-42.26
0
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100
Rel
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RT: 19.15
RT: 19.17
18.0 18.5 19.0 19.5 20.0 20.5
Time (min)
NL: 1.27E3 TIC MS F: GISNEGQNASIK[HeavyK]:+ c NSI SRM
ms2 613.317 [355.242-355.244, 540.322-540.324, 725.402-725.404,
854.444-854.446, 968.487-968.489, 1055.519-1055.521]
200amolPRTC_11
NL: 3.58E2 TIC MS F: GISNEGQNASIK[HeavyK]:+ c NSI SRM
ms2 613.317 [355.242-355.244, 540.322-540.324, 725.402-725.404,
854.444-854.446, 968.487-968.489, 1055.519-1055.521]
200amolPRTC_HSRM_10
SRM
H-SRM
• 200 amol on column GISNEGQNASIK[HeavyK] • While the signal drops with Q1 setting of 0.2, the
background and chemical noise are drastically reduced
Q1 = 0.7
Q1 = 0.2
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Parameters to consider- Dwell Time
• Increasing Dwell Time improves S/N by increasing ion statistics
• Reproducibility of signal is also improved
• Dwell Times of 10 msec or greater provide high quality data for low abundant analytes
• TSQ Quantiva™ can detect signal with dwell times as low as 1 msec
• RT scheduling will increase dwell times vs unscheduled SRM methods
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Dwell time can be variable using cycle time
cycle time # product ions
= dwell time per fragment
0.5/10 = 0.05 seconds
0.5/50 = 0.01 seconds
• Minimum dwell time should be 10 milliseconds for low abundance targets.
• Shorter dwell times have poor ion statistics and can make quantitation more difficult.
• We want to have optimal chromatographic resolution of targets and minimal RT overlap.
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Determining Cycle Time when “setting” Fixed Dwell
• Elapsed scan time of 18 ms for 8 transitions • 18 ms / 8 transitions = 2.25 msec dwell time per transition • With a setting of 1 ms dwell, an interscan delay of ~1.25 ms is calculated • Elapsed scan time of 18 ms x 10 peptides = ~180 ms Cycle Time
• Note: The interscan delay will be dynamic and specific to the mass jump
Method: 1 ms Fixed Dwell Transition List: 10 Peptide, 8 transitions each (80 Transitions total)
Scan Header
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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Experimental Design Example for Peptide Quantitation Goal: To quantify >360 peptides in a single QqQ method • Sample Details
• HeLa Lysate Digest (Pierce, 88328) • 0.5 ug/uL
• Retention Time Calibration Peptides (Pierce, 88320) • Response curve from 25 amol-100 fmol/uL) • Light versions spiked at a fixed 10 fmol/uL)
• 6 x 5 LC-MS/MS Peptide Reference Mix (Promega, V7495) • Isoforms for each peptide ranged: 20 amol – 200 fmol/uL
• MS Qual/Quant QC Mix (Sigma, MSQC1-1VL) • 14 light and heavy peptides at various L:H ratios • Peptide concentrations ranged from 160 amol/uL – 300 fmol/uL
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• Discovery Experiment to Select Target Peptides • Top 20 data dependent acquisition on a QE HF
• 30K Resolution • Max fill time: 20 msec • AGC target: 1e6
Experimental Design Example for Peptide Quantitation
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• Balance RT windows and number of transitions
• Adjust MS parameters for best cycle time
• Optimize CE (optional)
Peptide Selection and Spectral Library Generation
0 5 10 15 20 25 30 35 4Time (min)
0
10
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80
90
100
Rel
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bund
ance
21.44 22.97
20.45
18.9517.99 24.1613.87 26.789.09 14.07
12.1227.23
27.9511.84 29.31 31.23
11.43
31.5132.20
32.80 37.0537.828.642.83 6.311.56
Top 20 dd-MS2 Screen QE HF
• Select peptides from search engine results
• Import list into Skyline Software
Database Search Peptide Selection
• Generate Spectral Library • Select and refine peptide list • Export targeted list of
transitions
tSRM Method TSQ Quantiva
RT: 8.95 - 36.67
10 12 14 16 18 20 22 24 26 28 30 32 34 36Time (min)
0
5
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ance
23.5321.66
21.0115.1520.04
13.5822.8513.93
18.90 23.6417.15
12.87
18.60 29.2316.93 27.3824.1818.3212.22 26.1411.44 35.7328.47 31.36 32.5830.00 34.289.48 10.77
NL:7.79E7TIC MS 071616_Quantiva_100_fmol_034
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• Trap-Elute configuration (Easy nanoLC 1000) • Trap column: Acclaim PepMap 100, 100 um x 2cm, 5 um beads • Analytical column: EasySpray PepMap, 75 um x 25 cm, 2um beads, 50°C.
• Gradient • A = 2% ACN/0.1% formic; • B = 90% ACN/0.1% formic
• Total run time = 60 minutes
LC Conditions
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Targeted SRM for 361 peptides (1842 transitions)
RT: 8.95 - 36.67
10 12 14 16 18 20 22 24 26 28 30 32 34 36Time (min)
0
5
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25
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45
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23.5321.66
21.0115.1520.04
13.5822.8513.93
18.90 23.6417.15
12.87
18.60 29.2316.93 27.3824.1818.3212.22 26.1411.44 35.7328.47 31.36 32.5830.00 34.289.48 10.77
NL:7.79E7TIC MS 071616_Quantiva_100_fmol_034
• Cycle time = 1 sec • CID gas pressure = 1.5 mTorr • Q1/Q3 Resolution: 0.7/0.7 • RT windows: 2 minutes
• Chrom Filter = 8 • Collision Energy = optimized by
transition • Dwell time range = 3.5 – 125 msec • Total method time = 1 hour
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Questions
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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Reproducibility – Peak Areas
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Reproducibility – Peak Areas
0
2
4
6
8
10
12
14
16
0 0.025 0.1 0.25 0.5 1 2.5 10 25 100
% C
V (n
= 4
)
Heavy Peptide Concentration (fmol/uL)
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Reproducibility – Retention Times
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21.2 21.4 21.6 21.8 22.0 22.2 Time (min)
0
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21.50 21.44 21.56
• Eight XICs overlaid, show very good RT reproducibility
• SIL peptide is plotted
• Time range for shown data is 48 hours
• RT windows of 2 minutes were used, but could reduce to 1.5 or 1 min.
Reproducibility – Retention Times
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TSQ Quantiva™ : Consistent Sampling Frequency
21.0 21.2 21.4 21.6 21.8 22Time (min)
0
20
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80
1000
20
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60
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100
Rel
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ance
21.42
21.4421.41
21.4621.39
21.47
21.4921.37
21.4221.41
21.44
21.39
21.46
21.4721.37
NL: 2.26E5 TIC F: + c NSI cv=0.00 SRM ms2 769.888
NL: 2.50E4 TIC F: + c NSI cv=0.00 SRM ms2 773.895
~10 points across the
peak Light, 10 fmol
Heavy, 1 fmol
Most congested part of chromatogram
PRTC peptide ELGQSGVDTYLQTK
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Linear Response While Monitoring 1842 Transitions
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Linear Response While Monitoring 1842 Transitions
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Promega 6 x 5 Peptide Standard in 500 ng HeLa
200 fmol
20 fmol
2 fmol
0.2 fmol
0.02 fmol
Peptide LGFTDLFSK
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• (1) Background and Workflows • (2) Peptide selection and standards • (3) Collision energy (CE) optimization • (4) Liquid chromatography (LC) gradient optimization • (5) Thermo Scientific™ TSQ Quantiva™ method editor
and parameter selection • (6) Experimental set up for peptide quantitation – an
example workflow • (7) Results • (8) Data processing with Thermo Scientific™
TraceFinder 4.1™
Application outline for peptide quantitation
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Processing peptide SRM data with TraceFinder 4.1™
Fill with Picture or graphic
Fill with Picture or graphic
Peptide Support Simplify Method Development
Increase usability of Data Review
• Peptide predictor tool • Amino acid formula support • Import peptide and mass
lists from Skyline, Pinpoint
• Redesign/Update compound database, master method
• Autoscan filter selection • Ratio confirmations for all peaks
• Redesign/Update to include all peak information to review faster
• New advanced plots for peak review including group and batch plots Enhancing Quan Workflows for Routine Bio/Pharma applications
and Simplifying Method Development for all markets
Fill with Picture or graphic
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• Remember to follow key points when establishing your assay. • Careful selection of peptide targets, give yourself multiple options.
• Select m/z fragments above precursor and optimize CE’s for each.
• Optimize chromatography, ensure no interference with fragment ions.
• Utilize SIL internal standards if possible.
• Establish standards for endogenous protein concentration.
• Run “Scheduled” with RT windows when possible to maximize dwell
times.
• Ensure you have enough scans across the peak.
• Utilize ion ratio confirmation in your processing method.
• Quantitate utilizing fragment with best signal/noise.
Summary
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Susan Abbatiello Kristi D. Akervik
Brad Groppe Nick Molinaro Kent Seeley
Tara Schroeder Alan Atkins
Katie Southwick Detlef Schumann
Acknowledgements
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• http://www.proxeon.com/productrange/easy_spray/intro/index.html
Parts – Reversed Phase Columns
Part Number Description
Column Dimensions (ID x L)
Packing Phase Bead Diameter (µm)
ES800 EASY-Spray 75 µm x 15 cm PepMap C18 3
ES801 EASY-Spray 50 µm x 15 cm PepMap C18 2
ES802 EASY-Spray 75 µm x 25 cm PepMap C18 2
ES803 EASY-Spray 75 µm x 50 cm PepMap C18 2
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• https://www.thermofisher.com/order/catalog/product/160321
Parts – Reversed Phase Columns
Part Number Description
Analytical Column Dimensions (ID x L)
Packing Phase Bead Diameter (µm); Pore Size (Å)
164738 Acclaim 75 µm x 15 cm Acclaim PepMap 100 C18 3; 100
164739 Acclaim
75 µm x 50 cm Acclaim PepMap 100 C18 3; 100
164940 Acclaim
75 µm x 15 cm Acclaim PepMap 100 C18 2; 100
164941 Acclaim 75 µm x 25 cm Acclaim PepMap 100 C18 2; 100
164942 Acclaim
75 µm x 50 cm Acclaim PepMap 100 C18 2; 100
164568 Acclaim 75 µm x 15 cm Acclaim PepMap 100 C18 3; 100
164569 Acclaim 75 µm x 25 cm
Acclaim PepMap 100 C18 3; 100
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• https://www.thermofisher.com/order/catalog/product/160321
Parts – Reversed Phase Trap Columns
Part Number Description
Trap Column Dimensions (ID x L)
Packing Phase Bead Diameter (µm)
164535 Acclaim 75 µm x 2 cm PepMap 100 C18 3
164564-CMD also known as 164564
Acclaim 100 µm x 2 cm PepMap 100 C18 5
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Parts – Metal Needle Kits and Ion Source Accessories
Part Number Description
00950-00954 32-Gauge metal needle kit for high flow LC flow rates between 5μL/min to 400μL/min
97144-20040 34-Gauge metal needle kit for low flow LC flow rates between 500nL/min to 10μL/min
00106-10511 Tubing, 0.075mm ID x 0.193mm OD fused-silica capillary for low flow applications instead of metal needle
ES232 EASY-Spray Emitter Positioning Tool
ES235 EASY-Spray Emitter Wash Cap
106868-0064 Cleaving Stone, 1" x 1" x 1/32”