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Targeted mass spectrometry Marina Zajec Dept. of Neurology and - PowerPoint PPT Presentation

Targeted mass spectrometry Marina Zajec Dept. of Neurology and Clinical Chemistry Lab. of Neuro-Oncology/Clinical&Cancer Proteomics Outline Introduction to targeted mass spectrometry When to use targeted mass spectrometry? What is


  1. Targeted mass spectrometry Marina Zajec Dept. of Neurology and Clinical Chemistry Lab. of Neuro-Oncology/Clinical&Cancer Proteomics

  2. Outline  Introduction to targeted mass spectrometry • When to use targeted mass spectrometry? • What is required for a targeted mass spectrometry experiment? • Selected Reaction Monitoring vs. Parallel Reaction Monitoring  Examples with real data 1. Quantitation of low levels HSP90α by Parallel Reaction Monitoring 2. Development of targeted mass spectrometry assay to detect M-protein in multiple myeloma patient serum

  3. LC-MS/MS proteomics strategies Shotgun proteomics - discovery Targeted proteomics  Proteins in the mixture are digested  Mass spectrometer is analyzing a and the resulting peptides are preselected group of proteins separated by liquid chromatography and analyzed by mass spectrometry  By use of internal standard  Spectra are generated from all quantitative values of proteins can be detectable proteins in a sample acquired  stable isotope labelled  Results are interpreted by database (SIL) reference spiked into the sample searching  Semi-quantitative analysis

  4. When to use targeted approach?  when predetermined sets of proteins need to be measured across multiple samples in a consistent, reproducible and quantitatively precise manner Examples: Picotti P., Aebersold R. Nature, 2012.

  5. What is required for a targeted proteomics experiment? 1. Protein(s) of interest, based on: Proteins of interest  Previous experiments (e.g. Shotgun proteomics)  Scientific literature  Prior knowledge Target peptides 2. Selection of the target peptides  Optimally represent the protein set – proteotypic peptides Targeted analysis

  6. Target peptides  Measured as surrogates for proteins  Need to fulfill certain criteria: • Unique to the target protein – proteotypic peptides • No variable modifications (e.g. methionine present in the amino acid sequence) • No ragged ends in the sequence (KK, KR, RK, RR) • Optimal length: 7-15 amino acids

  7. Target peptides - examples 1. KRNGGGR Ragged ends 2. RNGGGKK 3. LEPADFAVYYCQR 4. YGSSPLIFGGGTR OK 5. ASTLESGVPSR 6. FLIYK Too short/long 7. FSGSGSGTAFTLTISSLQPDDFATYYCQQYDSPPYTFGQGTK

  8. Selected Reaction Monitoring (SRM) vs. Parallel Reaction Monitoring (PRM) Targeted proteomics SRM Triple quadrupole PRM Orbitrap (Fusion and Lumos) Coon et al. MCP, 2012.

  9. Method optimization - SRM 1. Selection of optimal transitions  select the fragment ions for each precursor-ion charge state that provide the highest signal intensity and lowest level of interfering signals 2. Retention time assignment – scheduling 3. Collision energy optimization  maximize the SRM signal response for specific peptides or fragments

  10. PRM compared to SRM  High specificity In PRM all product ions are monitored providing high confidence of peptide identification. The high resolution mass analyzer increases specificity (narrower mass window) compared to a SRM.  Reduced interference Compared to SRM, PRM provides data with high mass accuracy, which allows the removal of noise of interfering signals.  Reduced assay development time PRM-based targeted proteomics requires less effort in assay development compared to SRM as fragment ions can be selected post acquisition.

  11. Examples with real data  Quantitation of low levels HSP90α by Parallel Reaction Monitoring • Comparing selectivity, sensitivity and repeatability of SRM, PRM, and immunoassay  Development of targeted mass spectrometry assay to detect M-protein in multiple myeloma patient serum • Clinical application of targeted mass spectrometry • Personalized proteomics

  12. Example 1

  13. HSP90 (low ng/mL level) quantification 43 control sera PRM SRM ELISA (2 microtiter plates) (2D-LC) (2D-LC) Triple quadrupole High resolution MS SRM by Xevo TQs PRM by Orbitrap Fusion anti-HSP90 Performed by C. Guzel

  14. Selection of stable isotope labeled peptides for quantification MPEETQTQDQPMEEEEVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLI PNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDE QYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVEKERDKEVSDDEAEE KEDKEEEKEKEEKESEDKPEIEDVGSDEEEEKKDGDKKKKKKIKEKYIDQEELNKTKPIWTRNPDDITNEEYGEFYKSLT Primary structure of NDWEDHLAVKHFSVEGQLEFRALLFVPRRAPFDLFENRKKKNNIKLYVRRVFIMDNCEELIPEYLNFIRGVVDSEDLP LNISREMLQQSKILKVIRKNLVKKCLELFTELAEDKENYKKFYEQFSKNIKLGIHEDSQNRKKLSELLRYYTSASGDEMV HSP90 α SLKDYCTRMKENQKHIYYITGETKDQVANSAFVERLRKHGLEVIYMIEPIDEYCVQQLKEFEGKTLVSVTKEGLELPED EEEKKKQEEKKTKFENLCKIMKDILEKKVEKVVVSNRLVTSPCCIVTSTYGWTANMERIMKAQALRDNSTMGYMAA KKHLEINPDHSIIETLRQKAEADKNDKSVKDLVILLYETALLSSGFSLEDPQTHANRIYRMIKLGLGIDEDDPTADDTSA AVTEEMPPLEGDDDTSRMEEVD  No known modifications or problematic cleavage sites  High quality stable isotope labeled peptides are required for correct quantitation Performed by C. Guzel

  15. SRM/PRM assay 2D-LC approach (SCX prefractionation ) SCX-LC RP-LC n = 43 control sera SRM/PRM + stable isotopes (references) light heavy 10 SCX y t proteins i peptides mRP C18 s n e 5 t n i prefractionation 0 0 2 4 6 SpeedVac digestion concentration Calculation concentration (ratio heavy/light) 13 C/ 15 N label Based on 2 HSP90 α peptides: YIDQEELNK DQVANSAFVER Performed by C. Guzel

  16. Targeted method  4 target HSP90 peptides (time scheduled): light heavy light heavy Performed by C. Guzel

  17. SRM vs PRM on serum digest ∼ 60 ng/mL HSP90 Interfering peak SRM SRM heavy peptide light peptide PRM PRM heavy peptide light peptide • High resolution data obtained by PRM • No or less interfering peak detected by PRM Performed by C. Guzel

  18. Distribution fragments obtained by SRM and PRM 100 Y ID Q E E L N K y 5 e n d o g e n o u s SRM Y ID Q E E L N K y 6 e n d o g e n o u s Y ID Q E E L N K y 7 e n d o g e n o u s p e rc e n ta g e (% ) peptide y5 y6 y7 YIDQEELNK 50 632.33 760.38 875.41 (endogenous) mean %CV 31.8 47.7 3.9 0 1 11 21 31 41 Pure compound (reference) s a m p le n o . 100 YIDQEELNK y5 endogenous PRM YIDQEELNK y6 endogenous YIDQEELNK y7 endogenous percentage (%) 50 peptide y5 y6 y7 YIDQEELNK 632.33 760.38 875.41 (endogenous) mean %CV 13.3 9.9 1.1 0 1 11 21 31 41 Pure compound (reference) sample no. Performed by C. Guzel

  19. Distribution ratio’s of fragments obtained by SRM and PRM 1 0 0 D Q V A N S A F V E R y 7 e n d o g e n o u s SRM D Q V A N S A F V E R y 8 e n d o g e n o u s D Q V A N S A F V E R y 9 e n d o g e n o u s p e rc e n ta g e (% ) peptide y7 y8 y9 5 0 DQVANSAFVER 822.41 893.45 992.52 (endogenous) mean %CV 26.9 15.0 22.3 0 1 1 1 2 1 3 1 4 1 s a m p le n o . Pure compound (reference) 100 D Q V A N S A F V E R y 7 e n d o g e n o u s PRM D Q V A N S A F V E R y 8 e n d o g e n o u s D Q V A N S A F V E R y 9 e n d o g e n o u s p e rc e n ta g e (% ) 50 peptide y7 y8 y9 DQVANSAFVER 822.41 893.45 992.52 (endogenous) mean %CV 3.7 2.5 2.9 0 1 11 21 31 41 Pure compound (reference) Performed by C. Guzel s a m p le n o .

  20. Comparison of HSP90 levels by SRM, PRM and ELISA SRM PRM DQVANSAFVER YIDQEELNK ELISA 5 0 0 5 0 0 4 0 0 4 0 0 H S P 9 0 (n g /m L ) H S P 9 0 (n g /m L ) 3 0 0 3 0 0 2 0 0 2 0 0 1 0 0 1 0 0 L L O Q S R M L O Q S R M 0 L L O Q P R M /E L IS A 0 L O Q P R M /EL ISA 0 1 0 2 0 3 0 4 0 0 1 0 2 0 3 0 4 0 sam p le no s a m p le n o . Peptide LOD (ng/mL) LLOQ (ng/mL) Peptide LOD (ng/mL) LLOQ (ng/mL) SRM 5.6 17.4 SRM 6.7 20.4 PRM 1.0 2.9 PRM 1.3 3.8 ELISA 0.4 1.2 ELISA 0.4 1.2 Performed by C. Guzel

  21. Correlation SRM vs ELISA YIDQEELNK DQVANSAFVER C D 4 0 0 4 0 0 Y = 1.6*X - 3.8 Y = 0.799*X + 27.1 2 = c o n c e n tra tio n H S P 9 0 E L IS A (n g /m L ) 0.764 c o n c e n tra tio n H S P 9 0 E L IS A (n g /m L ) R 2 = 0.652 R 3 0 0 3 0 0 2 0 0 2 0 0 1 0 0 1 0 0 0 0 0 1 0 0 2 0 0 3 0 0 4 0 0 0 1 0 0 2 0 0 3 0 0 4 0 0 co n ce n tra tion H S P 9 0 D Q V A N S A F V E R (n g /m L) con cen tratio n H S P 90 Y ID Q E E LN K (ng /m L) Correlation PRM vs ELISA F 5 0 0 E 5 0 0 Y = 0.845*X + 13.3 4 0 0 c o n c e n tra tio n H S P 9 0 E L IS A (n g /m L ) 2 = 0.878 R 4 0 0 c o n c e n tra tio n H S P 9 0 E L IS A (n g /m L ) Y = 0.726*X + 20 2 = 0.811 R 3 0 0 3 0 0 2 0 0 2 0 0 1 0 0 1 0 0 0 0 1 0 0 2 0 0 3 0 0 4 0 0 5 0 0 0 con cen tratio n H S P 90 Y ID Q E E LN K (ng /m L) 0 1 0 0 2 0 0 3 0 0 4 0 0 5 0 0 Performed by C. Guzel co n ce n tra tion H S P 9 0 D Q V A N S A F V E R (n g /m L)

  22. Bland-Altman plots (method comparison) 1 0 0 SRM vs ELISA YIDQEELNK 5 0 % D iffe re n c e A v e ra g e 0 + 9 5 % 2 0 0 4 0 0 significant different: YES (p < 0.0001) B ia s -5 0 - 9 5 % -1 0 0 YIDQEELNK 1 0 0 PRM vs ELISA 5 0 + 9 5 % % D iffe re n c e A v e ra g e significant different: NO 0 B ia s 2 5 0 5 0 0 (p = 0.1581) - 9 5 % -5 0 -1 0 0 Performed by C. Guzel

  23. Summary  PRM is highly reproducible compared to SRM assay to determine HSP90 concentrations in SCX fractionated sera at relative low ng/mL level  PRM could be used as an attractive alternative for ELISA to quantify multiple proteins highly reproducible in biological samples including sera  Targeted mass spectrometry could be used for personalized cancer diagnostics and follow-up (e.g. in multiple myeloma)

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