skyline & panorama:

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©2012, Genentech Kristin Wildsmith Scientist, Biomarker Development Skyline & Panorama: Key Tools for Establishing a Targeted LC/MS Workflow LabKey User Conference October 6, 2016

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Page 1: Skyline & Panorama:

©2012, Genentech

Kristin Wildsmith Scientist, Biomarker Development

Skyline & Panorama: Key Tools for Establishing a Targeted LC/MS Workflow

LabKey User Conference October 6, 2016

Page 2: Skyline & Panorama:

©2012, Genentech

Biomarkers enable drug development 2

Diagnostic

Res

pons

e

Therapeutic

Drug development Research Pre-IND Phase I Phase II Phase III

(Pivotal) Clinical Practice

Biomarker Discovery

Preclinical validation

Clinical Practice

Biomarker development

Clinical validation

Technical development

Pharmacodynamic

Page 3: Skyline & Panorama:

©2012, Genentech

Mass spectrometry is a quantitative tool for biomarker development and Labkey server is used for data management

•  Discovery (unbiased) •  Targeted-discovery Triple Quad

(High sensitivity)

•  Multiplex panel •  Single analyte quantitation

Biomarker Discovery Clinical Practice Clinical validation

LTQ-Orbitrap (High resolution)

Labkey is a data management solution for MS data Development of customized folders accelerated Targeted MS assay development

Page 4: Skyline & Panorama:

©2012, Genentech

New model for developing protein clinical biomarkers: Hypothesis driven multiplexing with mass spectrometry

Proteomics Discovery

(Literature)

Target Specific

Disease Specific

Pathway Specific

Candidate Biomarker

List (1000s-10

0s)

Exploratory Studies

Targeted-MS assay

Candidate Biomarker

List (100-10s)

100’s - 1000’s of Candidates 10’s-100s of

Biomarkers hypothesis-based focusing

Targeted-MS assay or

immunoassay

Clinical Marker(s)

MS can provide a faster and more successful translation of protein biomarkers to the clinic

Page 5: Skyline & Panorama:

©2012, Genentech

Candidate proteins in CSF

Signature peptides

+internal standards (heavy peptides)

Quantitation

LC-MS/MS

protease digestion Protein

Multiplex Peptide 1

Peptide 2

Peptide 3

Peptide 4

Light (endogenous)

Heavy (std)

Multiplexed MRM assay developed for candidates

Light (endogenous)

Heavy (std)

Page 6: Skyline & Panorama:

©2012, Genentech

Skyline supports targeted MS techniques

•  Skyline is an open-source software from MacCoss lab at University of Washington

•  Vendor neutral •  Supports method development and data analysis:

–  Targeted MS/MS •  Selected reaction monitoring (SRM, aka MRM) •  Parallel reaction monitoring (PRM)

–  Data-independent-acquisition (DIA) / SWATH –  Targeted discovery with MS1 quantitative methods –  Discovery proteomics with MS2 methods

Open-source software available from MacCoss lab at University of Washington: https://brendanx-uw1.gs.washington.edu/labkey/project/home/software/Skyline/begin.view

Page 7: Skyline & Panorama:

©2012, Genentech

Multiplexing enabled by targeted-proteomics software

Open-source software available from MacCoss lab at University of Washington: https://brendanx-uw1.gs.washington.edu/labkey/project/home/software/Skyline/begin.view

Retention time consistency Check peak shape

Quick visual check of quantitation

Light

Heavy iSTD

Peptide List

Page 8: Skyline & Panorama:

©2012, Genentech

Old workflow for multiplexed MRM creates data management challenges 8

Peak integration and calibration curve generation

QC sample data

Statistical analysis and data visualizations

Select Peptides & build MRM method

Generate Data

Target Proteins

•  Iterative method development •  Complex, MANUAL data analysis •  Large data files from multiple

platforms

Page 9: Skyline & Panorama:

©2012, Genentech

Improving the targeted proteomic workflow Data management simplification with Panorama 9

ASMS 2013 Panorama

Panorama is a repository server application supporting Skyline –  Module within LabKey server –  Open-source bioinformatics data management platform –  Searchable database storing Skyline data files

Page 10: Skyline & Panorama:

©2012, Genentech

Panorama Public Panorama increases rate of method development •  MacCoss-lab hosted instance (includes CPTAC, ABRF shared libraries) •  Shares read-only data to support publications •  Workflow for sharing data with reviewers and then general public

*

ASMS 2015 Panorama

http://panoramaweb.org/

Page 11: Skyline & Panorama:

©2012, Genentech

Panorama Public: CPTAC Enabling data sharing 11

Page 12: Skyline & Panorama:

©2012, Genentech

Panorama Partnership enables use of Panorama in secure environment and expand capabilities

•  Collaborate directly with MacCoss lab and LabKey teams •  Installed Labkey server on-site •  Guide Skyline & Panorama software development priorities •  All partners contribute to common development fund •  All partners give input on priorities and design decisions

•  Genentech/Roche partners since Oct 2013 (1 of 4)

Field strongly supporting Skyline and Panorama development Academic/Government: 2 R01s 1 P41 1 U01

Industry:

h"ps://skyline.gs.washington.edu/labkey/wiki/home/so7ware/Skyline/page.view?name=funding

Page 13: Skyline & Panorama:

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Sharing data internally Accelerating method building: Chromatogram libraries 13

Page 14: Skyline & Panorama:

©2012, Genentech

Key areas of focus for Panorama Partnership Vision: Data analysis directly in Panorama

•  Tracking method development (versioning)

•  Implementing data analysis tools directly in Panorama •  Quality Control folder •  AutoQC •  Statistics

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Adaptation of CPTAC Response Curve R script by Laura Harris on Roche Panorama test server

Page 15: Skyline & Panorama:

©2012, Genentech

Tracking method development: Version Chaining Panorama Partners progress

Page 16: Skyline & Panorama:

©2012, Genentech

Panorama Partners QC folder Development of QC folder to monitor instrument performance 16

View retention time, peak area, H/L ratio, etc.

Add notes

Zoom to details

Page 17: Skyline & Panorama:

©2012, Genentech

Define reference regions for QC statistics Panorama Partners QC folder

QC – Levey-Jennings Plots

Page 18: Skyline & Panorama:

©2012, Genentech

Evaluate performance of multiple peptides Panorama Partners QC folder

Run Date

Ret

entio

n Ti

me

Page 19: Skyline & Panorama:

©2012, Genentech

Panorama Partners QC folder Track instrument performance

Page 20: Skyline & Panorama:

©2012, Genentech

Determine which feature drives variability in method Panorama Partners QC folder

Retention time variable

Page 21: Skyline & Panorama:

©2012, Genentech

Automatically upload QC runs to Panorama Panorama Partners QC folder

Vagisha Sharma, Skyline team, MacCoss Lab, UW

Page 22: Skyline & Panorama:

©2012, Genentech

Monitor active instruments using QC summary view 22 Panorama Partners QC folder

Page 23: Skyline & Panorama:

©2012, Genentech

Small molecule support 23 Skyline and Panorama expansion in 2016

ASMS 2016

Page 24: Skyline & Panorama:

©2012, Genentech

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Data Transformation

Data Storage and Analysis

Data Summarization and Visualization Method build and refinement

Connecting Labkey’s Panorama to data analysis tools Panorama Partners vision: Simplifying the workflow

Page 25: Skyline & Panorama:

©2012, Genentech

Data analysis within Panorama: QuaSAR Accelerating method development using automated tools

QuaSAR processes SRM/MRM-MS data calculating: •  limits of detection and

quantification (LOD and LOQ), •  Mean and Coefficient of variation

(CV) for all transitions of each peptide in a set of samples

•  Peptide analyte concentration in unknown samples

•  Runs the AuDIT algorithm to evaluate the transition quality and detect interference

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Modified from QuaSAR script at http://www.broadinstitute.org/~manidr/QuaSAR-1_2.zip Shadi Eshghi

Page 26: Skyline & Panorama:

©2012, Genentech

Connecting LabKey’s Panorama to Spotfire for visualization Panorama Partners Progress: Data Summarization

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Data Transformation

Data Summarization And Visualization

Method build and refinement

Labkey helping to accelerate biomarker development through support of MS data management

•  Discovery (unbiased) •  Targeted-discovery Triple Quad

(High sensitivity)

•  Multiplex panel •  Single analyte quantitation

Biomarker Discovery Clinical Practice Clinical validation

LTQ-Orbitrap (High resolution) Developing customized features within

Labkey to simplify method development and data analysis

Data Storage and Analysis

Page 28: Skyline & Panorama:

©2012, Genentech

Acknowledgements Genentech

OMNI Biomarker Development Paul Auger Veronica Anania Shadi Eshghi Rod Mathews Lee Honigberg

gRED IT Jon Sasano

Spotfire Laura Harris

Joshua Haznedar

Panorama Partners Josh Eckels (Labkey) Brendan MacLean (UW) Vagisha Sharma (UW) Tom Dunkley (Roche) Michel Petrovic (Roche)

UW Targeted Proteomics Course 2014

Page 29: Skyline & Panorama:

©2012, Genentech

Appendix

Page 30: Skyline & Panorama:

©2012, Genentech

Large data files from multiple platforms creates data management challenges

Types of files generated: •  Skyline method and data visualization files •  Instrument method file •  Raw MS data •  Quantitation file •  Excel spreadsheets for import to Spotfire •  Spotfire QC file •  Spotfire biomarker result file •  Additional (externally generated) biostats *.csv files and R plots

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Method and data generation Data QC and analysis

Page 31: Skyline & Panorama:

©2012, Genentech

Spotfire visualization of multiplex results

Peptide levels by diagnostic group

Joshua Haznedar PKPD

Page 32: Skyline & Panorama:

©2012, Genentech

Panorama Partners QC folder

Development of QC folder to monitor instrument performance 32

Retention Time

Peak Area

Light/Heavy Ratio

Page 33: Skyline & Panorama:

©2012, Genentech

Custom Reporting Panorama Partners Progress 2014

Page 34: Skyline & Panorama:

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Point-and-Click Visualizations Panorama Partners Progress 2014

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©2012, Genentech

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