Targeted Proteomics Environment

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Presentation transcript:

Targeted Proteomics Environment Status of the Skyline open-source software project four years after its inception Add CPTC and NCI logos to title page? Brendan MacLean

One Year 2011 2012 NCI funding ending in August Thursday poster at ASMS Broke ankle (twice) Hard drive died 2012 Great new funding User meeting! New developers Progress on multiple fronts

This Meeting Mike: 20-40 people, under $1000 Sponsors 150+ people registered!

User Community After 4 Years 570 registered users 4 new papers in May Platform Independent and Label-free Quantitation of Proteomic Data using MS1 Extracted Ion Chromatograms in Skyline – Mol. Cel. Prot. Label-Free Quantitation of Protein Modifications by Pseudo-Selected Reaction Monitoring with Internal Reference Peptides – J. Prot. Res. Using iRT, a Normalized Retention Time for More Targeted Measurement of Peptides - Proteomics The Development of Selected Reaction Monitoring Methods for Targeted Proteomics via Empirical Refinement - Proteomics 25 abstracts at ASMS mention Skyline 75 citations of original paper (after 2 ½ years) 30 in 2012

Software Development After 4 Years Strong professional development team Grad student contributions Jarrett Egertson Undergraduate internship program Shannon Joyner – Carnegie Melon University Daniel Broudy – Harvard University Growing outside contributions Matthew Chambers – Tabb Lab – Vanderbilt Lucia Espona Pernas – Aebersold Lab – ETH David Cox – AB SCIEX Kevin Crowell – PNNL

Brendan MacLean Lead developer and architect 20+ years of professional software development Big companies (Microsoft & BEA) Small companies (Westside & LabKey) Academia (Fred Hutchinson & U. of Washington) 9 years of proteomics Focus Experimental structure All things Skyline…

Skyline File View

Nick Shulman 17 years of professional software development Creator of 5 years at Microsoft & 12 years with Brendan Creator of Custom reports & Results grid Custom annotations Background proteomes Topograph – protein turnover Focus – Peak Integration Retention time alignment for MS1 filtering mProphet algorithm Nick Shulman – Wednesday AM – WP 423

MS1 Filtering Retention Time Alignment Aligning by linear regression of MS/MS peptide IDs

MS1 Filtering Retention Time Alignment

Vagisha Sharma 6 years of professional software development Focus All in proteomics 4 years on proteomics repositories Focus In collaboration with Josh Eckels at LabKey Software WP 407 - Vagisha Sharma A private repository of targeted proteomics assays for Skyline

Panorama Peptide Details View

Don Marsh 35 years of professional software development Big companies – Apple and Microsoft Medium – Tagilent and Stride Micro Co-founder of two start-up companies, one acquired by Microsoft Contributed: 64-bit Skyline and DIA Isolation Schemes Lots of stress testing Focus Full-scan filtering Performance ESP peptide response prediction In collaboration with Steve White at Microsoft

Skyline AB SCIEX SWATH™ Settings (32 x 25 m/z Extraction Windows) Gillet, L.C. et al. Mol. Cell. Prot. 2012.

AB SCIEX SWATH™ Data Gillet, L.C. et al. Mol. Cell. Prot. 2012.

Quantitative Proteomics Spectrum-based Spectral counting Isobaric tags Chromatography-based SRM SRM: 220 abstracts, MRM: 390 abstracts MS1 chromatogram extraction Targeted MS/MS Data independent acquisition (DIA) DIA: 9 abstracts, SWATH: 18 abstracts

2010 Support Multiple Instrument Vendors SRM Exporting transition lists & native methods Importing native instrument output files AB SCIEX Agilent Technologies Thermo-Scientific Waters

2012 Support Multiple Instrument Vendors Full-Scan Exporting isolation lists & native methods Importing native instrument output files AB SCIEX Agilent Technologies Thermo-Scientific Waters

2012 Support Multiple Instrument Vendors Full-Scan Exporting isolation lists & native methods Importing native instrument output files AB SCIEX SWATH™ Agilent Technologies DIA Thermo-Scientific DIA & Multiplexed DIA Waters MSe™ WOA 10am - Brendan MacLean Targeted Proteomics Quantitative Analysis of Data Independent Acquisition MS/MS in Skyline

New Full-Scan Features for v1.2 (February) Integrated display of MS/MS peptide ID spectra in MS1 chromatograms Peak picking in MS1 chromatograms based on MS/MS peptide ID Improved memory performance for full-scan chromatogram extraction New isotope dot-product score on MS1 full-scan filtered peaks, and expected relative isotope abundance in peak area plot and reports Faster MS/MS library loading Method export for Thermo and AB SCIEX Thermo Q Exactive data support

New Features for v1.2 (February) Command-line interface More accurate retention time prediction with integrated iRT support New enhanced Find with Find All Unexpected error form

New Features for v1.3 (June) Advanced support for data independent acquisition (DIA) AB SCIEX SWATH™ Agilent DIA Thermo Multiplexed DIA Waters MSe™ 64-bit version with higher memory limits Retention time alignment for MS1 filtering Auto-detect modifications in Spectral Library Explorer Decoy peptide and transition generation for FDR based peak picking

New Features for v2.1 (Fall) Panorama support Full-scan mass accuracy Data import performance Customizable Tools menu New algorithms mProphet probability based peak picking ESP peptide response prediction Experiment structure with File View Quantitative statistics Experiment statistics Agilent tMRM and Thermo iSRM support

Acknowledgments: Skyline Team (emeriti) Broad Institute Duke Eva Baker John Chilton Gregory Finney Barbara Frewen Mimi Fung Randall Kern Alana Killeen Daniela Tomazela Broad Institute Sue Abbatiello Steve Carr Jake Jaffe Duke Will Thompson Arthur Moseley Buck Institute Birgit Schilling Matthew Rardin Brad Gibson IMSB Rudolph Aebersold Ludovic Gillet Christina Ludwig Vanderbilt Matthew Chambers Amy Ham Daniel Liebler AB Sciex Fadi Abdi David Cox Christie Hunter Brent Lefebvre Agilent Technologies Christine Miller Joe Roark Pat Perkins Thermo-Scientific Markus Kellmann Andreas Kuehn Vlad Zabrouskov Waters Laurence Firth James Langridge Roy Martin Kieran Neeson Keith Richards This work is funded by grants from NIH/NIGMS, NIH/NHGRI, Agilent Technologies and Thermo-Fisher Scientific.