Pinpointing phosphorylation sites using Selected Reaction Monitoring and Skyline Christina Ludwig group of Ruedi Aebersold, ETH Zürich.

Slides:



Advertisements
Similar presentations
Kelly Stecker Sussman Lab
Advertisements

Protein Quantitation II: Multiple Reaction Monitoring
Protein Quantitation II: Multiple Reaction Monitoring
Proteomics Informatics – Protein characterization I: post-translational modifications (Week 10)
S 3.1 Positive ionization low energy CID fragmentation spectrum of the singly phosphorylated peptide pSLKPDTENQESSVK of Rec 10 MS 3 spectrum of the doubly.
Quantification of low-abundance proteins in complexes and in total cell lysates by mass spectrometry Bastienne Jaccard and Manfredo Quadroni Université.
Previous Lecture: Regression and Correlation
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS Gygi et al (2003) PNAS 100(12), presented by Jessica.
The Mtb Proteome Library: Development and application of assays for targeted MS analysis of the complete proteome of Mycobacterium tuberculosis by SRM.
Proteomics Informatics Workshop Part III: Protein Quantitation
Proteomics Informatics Workshop Part II: Protein Characterization David Fenyö February 18, 2011 Top-down/bottom-up proteomics Post-translational modifications.
Proteomics and Biomarker Discovery Discovery to Targets for a Phosphoproteomic Signature Assay: One-stop shopping in Skyline Jake Jaffe Skyline Users Meeting.
Outline Selection of candidate proteins for the multiplex analysis of DBS via targeted proteomics The currently employed strategies for the selection.
A Phospho-Peptide Spectrum Library for Improved Targeted Assays Barbara Frewen 1, Scott Peterman 1, John Sinclair 2, Claus Jorgensen 2, Amol Prakash 1,
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.
Multiple flavors of mass analyzers Single MS (peptide fingerprinting): Identifies m/z of peptide only Peptide id’d by comparison to database, of predicted.
Methods for LTQ Orbitrap A Guided Tour with Examples
Isotope Labeled Internal Standards in Skyline
Proteomics Informatics (BMSC-GA 4437) Instructor David Fenyö Contact information
Salamanca, March 16th 2010 Participants: Laboratori de Proteomica-HUVH Servicio de Proteómica-CNB-CSIC Participants: Laboratori de Proteomica-HUVH Servicio.
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…
Multiplexed Data Independent Acquisition for Comparative Proteomics
Agenda  Welcome from the Skyline team!  PRM Targeted Proteomics Using Full-Scan MS2  Introduction with Brendan MacLean  PRM Introduced by Bruno Domon.
Proteomics Informatics (BMSC-GA 4437) Course Directors David Fenyö Kelly Ruggles Beatrix Ueberheide Contact information
LC separation and MS of histone tryptic peptides allow for their post-translational modification quantitation -For most K residues our histone assay, we.
DIA Method Design, Data Acquisition, and Assessment
Protein quantitation I: Overview (Week 5). Fractionation Digestion LC-MS Lysis MS Sample i Protein j Peptide k Proteomic Bioinformatics – Quantitation.
Ho-Tak Lau, Hyong Won Suh, Martin Golkowski, and Shao-En Ong
Target Analyses in Parallel Reaction Monitoring Mode (PRM)
Agenda  Welcome from the Skyline team!  Targeted Method Design  Introduction with Brendan MacLean  Tutorial with Brendan MacLean  Targeted proteomics.
Goals in Proteomics Identify and quantify proteins in complex mixtures/complexes Identify global protein-protein interactions Define protein localizations.
Custom peptide synthesis services In the quantitative proteomics research, several MS-based methodologies for relative quantification have been introduced.
Custom peptide synthesis services In the quantitative proteomics research, several MS-based methodologies for relative quantification have been introduced.
DIA: the Why, How, and When…Really…
Tandem MS.
Large Scale DIA With Skyline
Jarrett Egertson, Ph.D. MacCoss Lab
Skyline not identifying peptides
Agenda Welcome from the Skyline team!
Volume 13, Issue 5, Pages (May 2013)
Protein/Peptide Quantification
Phosphopeptide sequencing by MALDI-TOF/TOF of the C-terminal tail of AtPIP2;1.A, MS/MS spectrum of singly phosphorylated 277SLGSFRSAANV287 (m/z ).
Proteomics Informatics David Fenyő
Volume 138, Issue 4, Pages (August 2009)
Quantifying Ubiquitin Signaling
Interpretation of Mass Spectra I
Proteomics Informatics –
Relative quantitation of phosphopeptides from conditioned media from subtype specific breast cancer cell lines. Relative quantitation of phosphopeptides.
Work flow for the LAXIC strategy to quantify the phosphorylation change in response to osmotic stress. Work flow for the LAXIC strategy to quantify the.
Skyline MS1 filtering graphical user interface.
Analysis of newly synthesized proteins by combined pulsed SILAC and click chemistry enrichment. Analysis of newly synthesized proteins by combined pulsed.
MS/MS spectra of INEILSNALKR with a Lys residue modified with SUMO1 or SUMO3 remnant chains. MS/MS spectra of INEILSNALKR with a Lys residue modified with.
2D-LC-MS/MS analysis of tryptic digest of HEK293-SUMO3 cells (2 μg inj
Overview of the analytical workflow used in this study and a representative MS/MS spectrum.a, Overview of the analytical workflow used in this study. Overview.
Example of MS/MS spectrum of peptide FPTLTGFNR (hypothetical protein with signal peptide EAK88888; N77) from a protein digestion mixture prepared by labeling.
Is Proteomics the New Genomics?
The principle of the immuno-SILAC method.
Shotgun Proteomics in Neuroscience
Chromatograms, MS and MS/MS spectra obtained by LC-MS/MS (Q-TOF) of peptides from UPIII identified after Western blotting followed by on-membrane digestion.
Dorota F. Zielinska, Florian Gnad, Jacek R. Wiśniewski, Matthias Mann 
Sim and PIC scoring results for standard peptides and the test shotgun proteomics dataset. Sim and PIC scoring results for standard peptides and the test.
Quantitative Proteomics II: Targeted Quantitation
Proteomics Informatics David Fenyő
Interpretation of Mass Spectra
MS3 for peptide identification and mapping phosphorylation sites
Presentation transcript:

Pinpointing phosphorylation sites using Selected Reaction Monitoring and Skyline Christina Ludwig group of Ruedi Aebersold, ETH Zürich

The challenge of phospho-site assignment Peptides MS/MS spectra ASGSTARASGSTAR R A T S G S A peptide identification Phospho-peptides MS/MS spectra R A T* S G S A AS*GS*T*AR phospho-site assignment ASGST*AR phospho-peptide identification 1

204 metabolic yeast enzymes protein extraction digestion (trypsin) phospho- enrichment (TiO 2 ) The case study: Phosphorylation changes upon osmotic shock before osmotic shock after osmotic shock yeast cell cultures steady-state 2

Pinpointing phosphorylation sites using SRM Determination of phosphorylation stoichiometries shotgun LC-MS/MS (LTQ-Orbi) label-free quantification phospho-peptide sequence before osmotic shock after osmotic shock ratio YGGHS[p]MSDPGTTYR KGS[p]MADVPK SASAVS[p]LPAK … phosphorylation results table 3 The case study: Phosphorylation changes upon osmotic shock

Peptide sequencephospho-site PepP probability before osmotic shock A before osmotic shock B before osmotic shock C after osmotic shock A after osmotic shock B after osmotic shock C ratioTtest SS[p]SSVSLK[S23] #DIV/0! SSS[p]SVSLK[S24] E-03 SSSS[p]VSLK[S25] E-03 SSSSVS[p]LK[S27] E-01 SSS[p]SVS[p]LK[S24],[S27] E-02 Peptide sequencephospho-site PepP probability before osmotic shock A before osmotic shock B before osmotic shock C after osmotic shock A after osmotic shock B after osmotic shock C ratioTtest S[p]DSAVSIVHLK[S70] #DIV/0! SDS[p]AVSIVHLK[S72] E-03 SDSAVS[p]IVHLK[S75] E-01 S[p]DSAVS[p]IVHLK[S70],[S75] #DIV/0! SDS[p]AVS[p]IVHLK[S72],[S75] E-02 Ambiguities and missing values in discovery-driven data sets Gpd1 = Glycerol-3-phosphate dehydrogenase 1 Gpd2 = Glycerol-3-phosphate dehydrogenase 2 4 Are all identified phospho-sites truly occurring in the sample? Do the obtained quantitative results reflect true biological changes? Targeted phospho-proteomics using SRM and Skyline 

(Phospho)-SRM workflow carried out in Skyline 5 (phospho)- peptide selection transition selection SRM measurement crude synthetic heavy phospho-peptides (JPT technologies) peptide sequence phospho- site S[p]SSSVSLK[S22] SS[p]SSVSLK[S23] SSS[p]SVSLK[S24] SSSS[p]VSLK[S25] SSSSVS[p]LK[S27] peptide sequence phospho- site S[p]DSAVSIVHLK[S70] SDS[p]AVSIVHLK[S72] SDSAVS[p]IVHLK[S75] Gpd1Gpd2

6 Getting phospho-peptides into Skyline (phospho)- peptide selection

7 Getting phospho-peptides into Skyline All Uniprot modifications available (phospho)- peptide selection

8 (phospho)- peptide selection transition selection SRM measurement automatic selection of the y-ion and b-ion series (> 300 Da) using the transition filter settings in Skyline (Phospho)-SRM workflow carried out in Skyline peptide sequence phospho- site precursor m/z y10 b1 [m/z] y9 b2 [m/z] y8 b3 [m/z] y7 b4 [m/z] y6 b5 [m/z] y5 b6 [m/z] y4 b7 [m/z] y3 b8 [m/z] y2 b9 [m/z] y1 b10 [m/z] S[p]DSAVSIVHLK[S70] SDS[p]AVSIVHLK[S72] SDSAVS[p]IVHLK[S75] shared transitions unique transitions

9 (phospho)- peptide selection transition selection SRM measurement (Phospho)-SRM workflow carried out in Skyline  of synthetic peptides

Targeting of synthetic phospho-peptides for Gpd2 10 [S70][S72][S75] individual measurements of synthetic peptides [S75], 14.9 min [S72], 14.3 min [S70], 14.6 min peptide mixture all phospho-peptide forms are separable in retention time SRM measurement

individual measurements of synthetic phospho-peptides [S22][S23][S24][S25][S27] peptide mixture [S23], 5.8 min [S24],[S25], 5.6 min [S27], 6.3 min [S22], 6.0 min 11 phospho-peptide forms [S24] and [S25] are not separable in retention time. Other peptide forms are strongly overlapping but distinguishable. Targeting of synthetic phospho-peptides for Gpd1 SRM measurement

12 Discrimination of [S24] [S25] despite co-elution peptide sequence phospho- site precursor m/z y7 [m/z] y6 [m/z] y5 [m/z] y4 [m/z] y3 [m/z] rt [min] S[p]SSSVSLK[S22] SS[p]SSVSLK[S23] SSS[p]SVSLK[S24] SSSS[p]VSLK[S25] SSSSVS[p]LK[S27] y [S22][S23][S24][S25][S27] [S23] [S22] [S24] SRM measurement

13 y [S22][S23][S24][S25][S27] [S25] Discrimination of [S24] [S25] despite co-elution SRM measurement peptide sequence phospho- site precursor m/z y7 [m/z] y6 [m/z] y5 [m/z] y4 [m/z] y3 [m/z] rt [min] S[p]SSSVSLK[S22] SS[p]SSVSLK[S23] SSS[p]SVSLK[S24] SSSS[p]VSLK[S25] SSSSVS[p]LK[S27]

Retention time information is important for pinpointing phospho-sites Phospho-peptide: XXX[S4]X[S6]X[S8]XX [S4] [S6] [S8] retention time intensity separable in retention time [S4] XYZ [S6][S8] transitions usable for identification and quantification X Y Z [S4][S6][S8] co-eluting XXX [S4][S6][S8] XX not specifically identifiable and quantifiable [S4][S6][S8] 9 14

The “iRT” concept implemented into Skyline 9 Consequence in practice: retention times need to be determined over and over again Escher C. et al., Proteomics, 2012, 12, Monday AM, Poster 624, Escher C. et al min 14.5 min 14.8 min Accurately measured empirical retention times are dependent on the setup of the currently used chromatographic system The problem: The solution: Usage of a set of calibration peptides to normalize all peptide retention times to a dimensionless “iRT value” Consequence in practice: once an iRT value is determined, the respective peptide can be scheduled and identified on any LC system iRT accurate RT calibration peptides

[S75] [S72] [S70] endogenous (light) synthetic (heavy) 16 Quantification of endogenous phospho-peptides – Gpd2 [S75][S72] lightheavy light heavy phospho-enriched yeast total cell extract synthetic, isotopically-labeled phospho-peptides

17 Quantification of endogenous phospho-peptides – Gpd2 before30 min after osmotic shock 1.5-fold down-regulation (t-test p-value = 0.01) before30 min after osmotic shock 1.7-fold down-regulation (t-test p-value = 0.01) [S75][S72] ratio light/heavy [S75] [S72] [S70] endogenous (light) synthetic (heavy) phospho-enriched yeast total cell extract synthetic, isotopically-labeled phospho-peptides

[S27] [S24] [S25] [S22] endogenous (light) synthetic (heavy) [S23] 18 Quantification of endogenous phospho-peptides – Gpd1 [S27][S24] lightheavy light heavy phospho-enriched yeast total cell extract synthetic, isotopically-labeled phospho-peptides

19 Quantification of endogenous phospho-peptides – Gpd1 7.2-fold up-regulation (t-test p-value = 2.1E-4) 3.2-fold up-regulation (t-test p-value = 2.4E-4) [S27] [S24] before30 min after osmotic shock before30 min after ratio light/heavy phospho-enriched yeast total cell extract [S27] [S24] [S25] [S22] endogenous (light) synthetic (heavy) [S23] synthetic, isotopically-labeled phospho-peptides

20 Quantification of a doubly phosphorylated peptide – Gpd1 Spike-in experiment (heavy crude phosphopeptides) SSS[p]SVS[p]LK [S24,27] heavy light [S24,S27] beforeafter osmotic shock 3.5-fold up-regulation (t-test p-value = 4.4E-4) endogenous (light) synthetic (heavy) Quantification of doubly phosphorylated peptide – Gpd1 ratio light/heavy [S24,S27]

21 Take-home messages Targeted analysis of phosphorylation using SRM provides quantitative data of high quality, accuracy and reproducibility Requirement: A priori knowledge Specific phosphorylation-sites can be pinpointed with high confidence Requirement: Learn the chromatographic behavior of phospho-peptide forms from synthetic reference peptides Application of the iRT concept improves acquisition scheduling and peptide identification Requirement: Consistent use of retention time calibration peptides

Thank you Collaborators  Ana Paula Oliveira  Paola Picotti Ruedi Aebersold and the whole Aebersold lab TSQ-support  Mariette Matondo  Nathalie Selevsek  Lukas Reiter  Oliver Rinner  Brendan MacLean  Alana Killeen

Further complications for a phospho-analysis with SRM: Neutral Loss H 3 PO 4 1. Loss of H 3 PO 4 = -98 Da CID MS/MS -H 3 PO 4 phosphoserine dehydroalanine Conclusion For peptides comprising several possibly phosphorylated residues phospho-site assignments based exclusively on H 3 PO 4 -neutral loss fragment ions can be erroneous, because their occurrence can also be due to a water-loss of a non-phosphorylated serine residue. Conclusion For peptides comprising several possibly phosphorylated residues phospho-site assignments based exclusively on H 3 PO 4 -neutral loss fragment ions can be erroneous, because their occurrence can also be due to a water-loss of a non-phosphorylated serine residue. CID MS/MS -H 2 O serine dehydroalanine S D S A V S I V H L K y7 Q Q y7 backbone fragmentation & H 3 PO 4 loss V S I V H L K transition coordinates example: S D S A V S I V H L K y7 backbone fragmentation & H 2 O loss on S75 y7 V S I V H L K O

[S70][S72][S75] example for H 3 PO 4 (-98 Da) phosphate loss interference peptide sequence Phos- pho- site pre- cursor m/z y10 y10-H 3 PO 4 b1 b1-H 3 PO 4 [m/z] y9 y9-H 3 PO 4 b2 b2-H 3 PO 4 [m/z] y8 y8-H 3 PO 4 b3 b3- H 3 PO 4 [m/z] y7 y7-H 3 PO 4 b4 b4-H 3 PO 4 [m/z] y6 y6-H 3 PO 4 b5 b5-H 3 PO 4 [m/z] y5 y5-H 3 PO 4 b6 b6-H 3 PO 4 [m/z] y4 y4-H 3 PO 4 b7 b7-H 3 PO 4 [m/z] y3 y3-H 3 PO 4 b8 b8-H 3 PO 4 [m/z] y2 y2-H 3 PO 4 b9 b9-H 3 PO 4 [m/z] y1 y1-H 3 PO 4 b10 b10-H 3 PO 4 [m/z] rt[mi n] S[p]DSAVSIVHLK[S70] SDS[p]AVSIVHLK[S72] SDSAVS[p]IVHLK[S75]

CID MS/MS -HPO 3 serine Conclusion For peptides comprising several possibly phosphorylated residues phospho-site assignments based exclusively on fragment ions NOT carrying the phosphate group can be erroneous, because their occurrence can also be due to a neutral loss of HPO 3. Conclusion For peptides comprising several possibly phosphorylated residues phospho-site assignments based exclusively on fragment ions NOT carrying the phosphate group can be erroneous, because their occurrence can also be due to a neutral loss of HPO 3. phosphoserine 2. Loss of HPO 3 = -80 Da Further complications for a phospho-analysis with SRM: Neutral Loss HPO 3 17 S D S A V S I V H L K y7 y7 backbone fragmentation & HPO 3 loss on S75 V S I V H L K example: Q Q y7 backbone fragmentation S D S A V S I V H L K V S I V H L K transition coordinates y7 O

The “iRT” concept implemented into Skyline 9 17

The “iRT” concept implemented into Skyline 9 18

9 19 The “iRT” concept implemented into Skyline

9 20 The “iRT” concept implemented into Skyline