Multiplexed Data Independent Acquisition for Comparative Proteomics

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Presentation transcript:

Multiplexed Data Independent Acquisition for Comparative Proteomics Jarrett Egertson MacCoss Lab Department of Genome Sciences University of Washington 5/20/2012

Current Technology for Comparative Proteomics Targeted: How much does protein X increase/decrease? For a small target list (<100 peptides) Often requires extra steps Retention time scheduling Peptide transition refinement Discovery: What proteins are changing in abundance? For ~1,000 - 5,000 semi-randomly selected peptides Data is not collected on the majority of peptides!

Many Peptides Are Missed By Data Dependent Acquisition Detected in MS ~1,000 – 5,000 Peptides Assigned Sequence Determined By MS/MS Usually 1,000 – 5,000 peptides identified by MS/MS Usually ~25,000 – 50,000 MS features detected 2-20% of Features Annotated BUT Usually only ~70% overlap in annotated features between runs

Data Independent Acquisition (DIA) to Increase Sequence Coverage 40 10 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Usually 1,000 – 5,000 peptides identified by MS/MS Usually ~25,000 – 50,000 MS features detected 2-20% of Features Annotated BUT Usually only ~70% overlap in annotated features between runs Venable JD et. al. Nature Methods 2004.

Data Independent Acquisition (DIA) to Increase Sequence Coverage 40 10 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 Scan 4 Scan 5 Usually 1,000 – 5,000 peptides identified by MS/MS Usually ~25,000 – 50,000 MS features detected 2-20% of Features Annotated BUT Usually only ~70% overlap in annotated features between runs Scan 6 Scan 7 … Scan 40 Scan 41

Data Independent Acquisition (DIA) to Increase Sequence Coverage 40 10 m/z-wide windows = 400 m/z 500 m/z 900 Retention Time Usually 1,000 – 5,000 peptides identified by MS/MS Usually ~25,000 – 50,000 MS features detected 2-20% of Features Annotated BUT Usually only ~70% overlap in annotated features between runs

Targeted-Style Analysis LGLVGGSTIDIK++ (586.85) VGGSTIDIK+ GGSTIDIK+ GSTIDIK+ LVGGSTIDIK+ STIDIK+ TIDIK+ IDIK+ (1002.58) (889.50) (790.43) (676.39) (589.36) (488.31) (375.22) 3.5 3.0 2.5 Intensity x 10-6 2.0 Usually 1,000 – 5,000 peptides identified by MS/MS Usually ~25,000 – 50,000 MS features detected 2-20% of Features Annotated BUT Usually only ~70% overlap in annotated features between runs 1.5 1.0 0.5 0.0 48 49 50 51 52 Retention Time

DIA Lacks the Specificity of DDA 10 m/z windows 400 – 800 m/z assuming 10 hz scan frequency 2 m/z 10 m/z

DIA Interference/Low Specificity FEIELLSLDDDSIVNHEQDLPK S. cerevisiae lysate (soluble) 10 m/z wide window DIA (Q-Exactive) Usually 1,000 – 5,000 peptides identified by MS/MS Usually ~25,000 – 50,000 MS features detected 2-20% of Features Annotated BUT Usually only ~70% overlap in annotated features between runs

Multiplexed DIA 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed Scan 21

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed Scan 21

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed Scan 21

Multiplexed DIA . . . 100 4 m/z-wide windows = 400 m/z 500 m/z 900 Scan 1 Scan 2 Scan 3 . . . Scan 20 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed Scan 21

Demultiplexing m/z Intensity

Demultiplexing m/z Intensity

Demultiplexing 1 7 28 81 84 Isolation Windows Intensity m/z Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed m/z

Demultiplexing Isolation Windows 1 Intensity m/z Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed m/z

Demultiplexing Intensity(100) = I1 + I7 + I28 + I81 + I84 1 7 28 81 84 Isolation Windows Intensity(100) = I1 + I7 + I28 + I81 + I84 Intensity Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed m/z

Demultiplexing Intensity(99) = I3 + I10 + I74 + I75 + I92 3 10 74 75 Isolation Windows Intensity(99) = I3 + I10 + I74 + I75 + I92 Intensity Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed m/z

Demultiplexing Intensity(99) = I3 + I10 + I74 + I75 + I92 10 Unknowns Intensity Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed m/z

Demultiplexing Intensity(99) = I3 + I10 + I74 + I75 + I92 Knowns 10 Unknowns Intensity Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed m/z

Demultiplexing … … … … Intensity(50) = I3 + I11 + I34 + I35 + I90 100 Scans 5 Duty Cycles ~15 seconds Intensity(99) = I3 + I10 + I74 + I75 + I92 Intensity(100) = I1 + I7 + I28 + I81 + I84 … … Intensity(150) = I17 + I44 + I52 + I55 + I99 Bottom: DIA: 10 m/z wide windows 400 -800 10 hz scan speed Top: MSX 5 x 2 m/z windows per scan 400 – 800 m/z 10 hz scan speed 100 knowns 100 unknowns Solve by non-negative least squares optimization

Demultiplexing

Sensitivity Similar to MS1 Quantification Bovine proteins spiked into S. cerevisiae lysate (soluble fraction)

Sensitivity Similar to MS1 Quantification Bovine proteins spiked into S. cerevisiae lysate (soluble fraction)

Conclusions DIA data can be multiplexed by mixing precursors prior to fragment ion analysis MSX de-multiplexing and isolation list export will be included in Skyline v1.3 (http://skyline.maccosslab.org) A firmware patch is needed to implement this method on the Q-Exactive Markus Kellmann (markus.kellmann@thermofisher.com)

Acknowledgments University of Washington MacCoss Lab Gennifer Merrihew Brendan MacLean Don Marsh Other Ying S. Ting Nathan Basisty Thermo Fisher Scientific Andreas Kuehn Jesse Canterbury Markus Kellmann Vlad Zabrouskov Wu Lab (University of Pittsburgh) Nicholas Bateman Scott Goulding Sarah Moore Julie Weisz Funded by the National Institutes of Health Individual F31 fellowship -- F31 AG037265 Yeast Resource Center -- P41 GM103533