DIA Method Design, Data Acquisition, and Assessment

Slides:



Advertisements
Similar presentations
Protein Quantitation II: Multiple Reaction Monitoring
Advertisements

Protein Quantitation II: Multiple Reaction Monitoring
Using Skyline to Monitor Long- Term Performance Metrics of High-Resolution Mass Spectrometers J. Will Thompson and M. Arthur Moseley Duke Proteomics Core.
1 The world leader in serving science Proprietary & Confidential WiSIM DIA Method Set-up Orbitrap Fusion MS MS Instrument Control Software v.1.1 SP1.
Quantification of low-abundance proteins in complexes and in total cell lysates by mass spectrometry Bastienne Jaccard and Manfredo Quadroni Université.
Sangtae Kim Ph.D. candidate University of California, San Diego
Previous Lecture: Regression and Correlation
FIGURE 5. Plot of peptide charge state ratios. Quality Control Concept Figure 6 shows a concept for the implementation of quality control as system suitability.
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
Proteomics Informatics Workshop Part III: Protein Quantitation
Fa 05CSE182 CSE182-L9 Mass Spectrometry Quantitation and other applications.
Evaluated Reference MS/MS Spectra Libraries Current and Future NIST Programs.
Tryptic digestion Proteomics Workflow for Gel-based and LC-coupled Mass Spectrometry Protein or peptide pre-fractionation is a prerequisite for the reduction.
Karl Clauser Proteomics and Biomarker Discovery Taming Errors for Peptides with Post-Translational Modifications Bioinformatics for MS Interest Group ASMS.
Collision-based methods: Electron-based methods: Primary methods for dissociating peptides Collision-based methods: Ion trap collisional activation.
Proteomics and Biomarker Discovery “Research-grade” Targeted Proteomics Assay Development: PRMs for PTM Studies with Skyline or, “How I learned to ditch.
A Phospho-Peptide Spectrum Library for Improved Targeted Assays Barbara Frewen 1, Scott Peterman 1, John Sinclair 2, Claus Jorgensen 2, Amol Prakash 1,
Laxman Yetukuri T : Modeling of Proteomics Data
INF380 - Proteomics-101 INF380 – Proteomics Chapter 10 – Spectral Comparison Spectral comparison means that an experimental spectrum is compared to theoretical.
For all CHEM5161 students: The first day of class for CHEM5161 (Analytical Spectroscopy) will be on TUE Sept 4 (following Labor Day). There will be no.
Finnish Custom Lab., Pekka Ravio
Proteomics What is it? How is it done? Are there different kinds? Why would you want to do it (what can it tell you)?
Application of Data Independent Acquisition Techniques Optimized for Improved Precursor Selectivity Jarrett D. Egertson, Ph.D. MacCoss Lab Department of.
June 9th, 2013 Matthew J. Rardin June 9th, 2013 Matthew J. Rardin MS1 and MS2 crosstalk in label free quantitation of mass spectrometry data independent.
Overview of Mass Spectrometry
Methods for LTQ Orbitrap A Guided Tour with Examples
EBI is an Outstation of the European Molecular Biology Laboratory. In silico analysis of accurate proteomics, complemented by selective isolation of peptides.
Isotope Labeled Internal Standards in Skyline
Proteomics Informatics (BMSC-GA 4437) Instructor David Fenyö Contact information
Metabolomics MS and Data Analysis PCB 5530 Tom Niehaus Fall 2015.
Oct 2011 SDMBT1 Lecture 11 Some quantitation methods with LC-MS a.ICAT b.iTRAQ c.Proteolytic 18 O labelling d.SILAC e.AQUA f.Label Free quantitation.
1 The world leader in serving science DIA: the Why, How, and When…Really…
SUPPLEMENTARY FIGURE LEGENDS Figure S1. Sample glycopeptide fragmentation. MS2 scans of the fragmentation of the triply charged glycopeptide at m/z =
Multiplexed Data Independent Acquisition for Comparative Proteomics
Deducing protein composition from complex protein preparations by MALDI without peptide separation.. TP #419 Kenneth C. Parker SimulTof Corporation, Sudbury,
Agenda  Welcome from the Skyline team!  PRM Targeted Proteomics Using Full-Scan MS2  Introduction with Brendan MacLean  PRM Introduced by Bruno Domon.
LTQ Orbitrap Series: Calibration, Tuning, Operations
Proteomics Informatics (BMSC-GA 4437) Course Directors David Fenyö Kelly Ruggles Beatrix Ueberheide Contact information
Workflows to set up acquisition methods for scheduled sMRM-HR on the TripleTOF 5600 Start from a data dependent acquisition (DDA) Perform data base search.
LC separation and MS of histone tryptic peptides allow for their post-translational modification quantitation -For most K residues our histone assay, we.
Protein quantitation I: Overview (Week 5). Fractionation Digestion LC-MS Lysis MS Sample i Protein j Peptide k Proteomic Bioinformatics – Quantitation.
Introduction to Liquid Phase Mass Spectrometry
김지형. Introduction precursor peptides are dynamically selected for fragmentation with exclusion to prevent repetitive acquisition of MS/MS spectra.
Quantitation using Pseudo-Isobaric Tags (QuPIT) and Quantitation using Pseudo-isobaric Amino acids in Cell culture (QuPAC) Parimal Samir Andrew J. Link.
Target Analyses in Parallel Reaction Monitoring Mode (PRM)
Metabolomics Part 2 Mass Spectrometry
University of Washington, Department of Genome Sciences
DIA: the Why, How, and When…Really…
Tandem MS.
Chem. 133 – 4/18 Lecture.
Large Scale DIA With Skyline
Jarrett Egertson, Ph.D. MacCoss Lab
Accelerating Research in Life Sciences
View  text zoom  large Set properties text size to 14 point
Accelerating Research in Life Sciences
Agenda Welcome from the Skyline team!
Pinpointing phosphorylation sites using Selected Reaction Monitoring and Skyline Christina Ludwig group of Ruedi Aebersold, ETH Zürich.
Metabolomics Part 2 Mass Spectrometry
Targeted Proteomics Environment
Proteomics Informatics David Fenyő
Now, More Than Ever, Proteomics Needs Better Chromatography
Instrument: Agilent 6495 QQQ, acquisition software version B
NoDupe algorithm to detect and group similar mass spectra.
Schematic of MS1 filtering.
2D-LC-MS/MS analysis of tryptic digest of HEK293-SUMO3 cells (2 μg inj
What I expect to see in Skyline
Operation manual of AI SIDA
Presentation transcript:

DIA Method Design, Data Acquisition, and Assessment Jarrett Egertson, Ph.D.

Part One: Fundamental Method Design

There is No Universal DIA Method Duty cycle Number of Injections m/z Range Covered Isolation Width Resolving Power AGC Target / Max Inject Time

Duty Cycle ~30 seconds ~30 seconds Duty Cycle: 4 seconds 10 Hz 20 20 m/z-wide windows = 400 m/z 500 m/z 900 40 10 m/z-wide windows = 400 m/z m/z 500 900 ~7 scans 15 scans ~30 seconds ~30 seconds Duty Cycle: 4 seconds Duty Cycle: 2 seconds

Duty Cycle ~6 seconds 10 Hz 20 20 m/z-wide windows = 400 m/z m/z 500 900 10 40 m/z-wide windows = 400 m/z m/z 500 900 ~6 seconds

Number of Injections ~30 seconds ~30 seconds 80 5 m/z-wide windows = 400 m/z m/z 500 900 40 5 m/z-wide windows = 200 m/z 40 5 m/z-wide windows = 200 m/z 500 m/z 900 ~30 seconds ~30 seconds

m/z Range Covered

Isolation Window Width DDA DIA Vs. Vs. 2 m/z 10 m/z 20 m/z Lower precursor selectivity More peptides co-fragmented More complex MS/MS spectra More interference

Precursor Selectivity 2 m/z ANFQGAITNR

Precursor Selectivity 10 m/z ANFQGAITNR

Precursor Selectivity 20 m/z ANFQGAITNR

Precursor Selectivity Intensity 10 m/z ANFQGAITNR 25 Retention Time (min) 26

Precursor Selectivity X  Intensity 4e7 10 m/z ANFQGAITNR Retention Time (min) Intensity 4e7 25 26 20 m/z X 

Precursor Selectivity 890  X 900 SLQDIIAILGMDELSEEDKLTVSR+++ (897.8 m/z) SLQDIIAILGMDELSEEDKLTVSR+++ (892.47 m/z)  X

Precursor Selectivity

Resolving Power

Precursor Selectivity 890  X 900 SLQDIIAILGMDELSEEDKLTVSR+++ (897.8 m/z) SLQDIIAILGMDELSEEDKLTVSR+++ (892.47 m/z)  X

Precursor and Fragment Ion Selectivity Gallien S, Duriez E., Demeure K, Domon B JPR 2013

4 m/z is Key Number for Isolation Valine Isoleucine + CH2 +2: +7.01 m/z +3: +4.67 m/z

Even Better Precursor Selectivity is Useful when using Isotope-Labeled Standards Light Precursor Heavy Precursor FDSPESHVGVAWR FDSPE SHVGVAWR FDSPES HVGVAWR FDSPESH VGVAWR FDSPESHVGVAWR[+10] FDSPE SHVGVAWR[+10] FDSPES HVGVAWR[+10] FDSPESH VGVAWR[+10] Light b - ions Light y - ions Light b - ions Heavy y - ions

Transition Selection for DIA – y-ions only! FDSPESHVGVAWR[+10]++ 748.86 m/z FDSPESHVGVAWR++ 743.86 m/z 5 m/z

Transition Selection for DIA – y-ions only! FDSPESHVGVAWR[+10]++ 748.86 m/z FDSPESHVGVAWR++ 743.86 m/z 5 m/z SRM Isolation 0.7 m/z, centered OK b or y

Transition Selection for DIA – y-ions only! FDSPESHVGVAWR[+10]++ 748.86 m/z FDSPESHVGVAWR++ 743.86 m/z 5 m/z DIA Isolation 20 m/z BAD only y

Transition Selection for DIA – y-ions only! FDSPESHVGVAWR[+10]++ 748.86 m/z FDSPESHVGVAWR++ 743.86 m/z 5 m/z DIA Isolation 20 m/z OK b or y

Transition Selection for DIA – y-ions only! FDSPESHVGVAWR[+10]++ 748.86 m/z FDSPESHVGVAWR++ 743.86 m/z 5 m/z DIA Isolation 20 m/z Still Bad – y only

AGC Target / Max IT DDA DIA MS/MS for peptide identification For detection – only enough ions to generate peptide-spectrum match Long fill times may mean slower acquisition rate, less ID’s MS/MS for peptide detection and quantification For quantification – want as many ions as possible Precision Sensitivity Intra-scan dynamic range Long fill times can slow down duty cycle, hinder quantification

DIA Parameters Influence Each Other Duty cycle Number of Injections m/z Range Covered Isolation Width Resolving Power AGC Target / Max Inject Time Duty cycle Number of Injections m/z Range Covered Isolation Width Resolving Power AGC Target / Max Inject Time

Putting Together a DIA Method Duty cycle Number of Injections (1) m/z Range Covered Isolation Width Resolving Power AGC Target / Max IT Determine Duty Cycle Choose Isolation Window Width Determine max IT/ Resolving Power Determine m/z Range To Cover      

Step 1: Determine Duty Cycle Required duty cycle based on LC At least 7 points across chromatographic peak Narrow peaks Faster duty cycle ~15 seconds 15 seconds / 7 points = 2.15 second duty cycle Determine Duty Cycle

Step 2: Determine m/z Range to Cover PRTC Peptides

Step 3: Choose Isolation Window Width For 500 – 900 m/z on QE: 15-25 m/z QE-HF: 10 – 20 m/z Fusion: 10 – 20 m/z More important for complex samples Selectivity Ion Counts

Determine Required Acquisition Rate Duty Cycle 2.0 seconds m/z Range 500 – 900 m/z (400 m/z) Isolation Width 20 m/z (900 𝑚/𝑧 −500 𝑚/𝑧) 20 𝑚/𝑧 = 20 scans MS/MS Scans per Duty Cycle: MS Scans per Duty Cycle: 1 (assume ~75 ms for acquisition) Required MS/MS Acquisition Rate (2000 𝑚𝑠 −75 𝑚𝑠) 20 𝑠𝑐𝑎𝑛𝑠 = 96 .25 ms / scan = 10.4 Hz

Determine IT / Resolving Power (QE-HF) AGC Target: 1e6

40 x 10 m/z Method Underfills (QE-HF) Selectivity Ion Counts Selectivity Ion Counts Max IT: 17 milliseconds Max IT: 60 milliseconds

A Recommended Starting Point

A Recommended Starting Point QE-HF (Increased MS2 Resolving Power) MS2 Resolving Power: 17,500 -> 30,000 Maximum IT: auto (49 ms) -> 60 ms Fusion Similar to QE-HF* Orbitrap acquisition is slightly slower AGC Target: 2e5

Part Two: Advanced Concepts

Advanced Concepts Optimizing isolation window placement Isolation uniformity Resonance CID vs. HCD

Windows are no longer centered on precursors Window Placement Windows are no longer centered on precursors 699.88 100 95 90 85 80 75 70 700.38 65 60 55 Relative Abundance 50 45 40 35 30 700.89 25 20 15 10 696.82 699.34 701.39 5 697.32 698.84 701.89 696.34 702.86 703.41 703.91 704.82 696 697 698 699 700 701 702 703 704 705 m/z

Peptides Masses Fall in Discrete Bins 1.00045475 m/z Mass Excess H 1.00078 0.00078 C 12 0.0 O 15.9949 0.9949 N 14.0031 0.0031 S 31.9721 0.9721

Window Placement H C N O Mass Excess H 1.00078 0.00078 C 12 0.0 O 15.9949 0.9949 N 14.0031 0.0031 S 31.9721 0.9721 H C N O

Window Placement 26.0031 15.0023 Mass Excess H 1.00078 0.00078 C 12 15.9949 0.9949 N 14.0031 0.0031 S 31.9721 0.9721 26.0031 15.0023

Peptides Masses Fall in Discrete Bins 1.00045475 m/z Mass Excess H 1.00078 0.00078 C 12 0.0 O 15.9949 0.9949 N 14.0031 0.0031 S 31.9721 0.9721

Window Placement

Window Placement

Skyline Demonstration Generating a DIA Isolation List and Using it to Build a QE Method

Isolation Uniformity Q-Exactive Q-Exactive HF

Fragmentation Without a targeted precursor CE may not be optimal (charge is unknown)

Fragmentation Without a targeted precursor CE may not be optimal (charge is unknown)

Fragmentation Without a targeted precursor CE may not be optimal (charge is unknown)

Fragmentation Without a targeted precursor CE may not be optimal (charge is unknown)

Fragmentation Without a targeted precursor CE may not be optimal (charge is unknown)

12 seconds total @ 17 Hz scan rate Comparing reCID to HCD m/z 400 1000 200 3 m/z-wide windows = 600 m/z 12 seconds total @ 17 Hz scan rate HCD Speed Preservation of fragment ions within isolated m/z range reCID: Efficient fragmentation without charge optimization Generation of b-ion series

Duty Cycle: reCID: ~16.7 Hz

Duty Cycle: HCD: ~20 Hz

Collision Energy Resonance CID May Outperform HCD for a DIA Experiment C. elegans lysate, database search using SEQUEST

Part 3: Data Assessment

Quality Control Overview QC QC QC QC Sample Sample Sample Sample Sample QC Sample # Peptide Sequence Mass Hydrophobicity Factor (HF) 1 SSAAPPPPPR 985.5220 7.56 2 GISNEGQNASIK 1224.6189 15.50 3 HVLTSIGEK 990.5589 15.52 4 DIPVPKPK 900.5524 17.65 5 IGDYAGIK 843.4582 19.15 6 TASEFDSAIAQDK 1389.6503 25.88 7 SAAGAFGPELSR 1171.5861 25.24 8 ELGQSGVDTYLQTK 1545.7766 28.37 9 GLILVGGYGTR 1114.6374 32.18 10 GILFVGSGVSGGEEGAR 1600.8084 34.50 11 SFANQPLEVVYSK 1488.7704 34.96 12 LTILEELR 995.5890 37.30 13 NGFILDGFPR 1144.5905 40.42 14 ELASGLSFPVGFK 1358.7326 41.18 15 LSSEAPALFQFDLK 1572.8279 46.66 PRM Peptide Retention Time Calibration Mixture

Skyline QC Demonstration Generating a QC Method and Analyzing the Data in Skyline

Quality Control Targeted-MS2 allows for monitoring of chromatography Retention time reproducibility is important for DIA (aids peak picking)

Conclusions There is no universal DIA method Try to fill the trap for MS/MS scans Quality control should monitor chromatography Determine Duty Cycle Choose Isolation Window Width Determine max IT/ Resolving Power Determine m/z Range To Cover