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Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

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Page 2: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

HDL is the Good Cholesterol

The Framingham Heart Study

Castelli, Can J Cardiol, 1988

Page 3: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

HDL Cholesterol is Not the Whole Story

Torcetrapib (ILLUMINATE)60% increase in HDL cholesterol40% increase in poor outcomes

Dalcetrapib (dal-OUTCOMES)35% increase in HDL cholesterolNo improvement in outcomes

Niacin (AIM-HIGH)30% increase in HDL cholesterolTwice as many strokes

Three HDL-C raising studies terminated early

Page 4: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

HDL Does More than Just Carry LipidsFunctional Assays of HDL

Particles remove lipids from lipid-laden macrophagesHDL activity in vitro is predictive of coronary artery disease

Khera, NEJM, 2011

Page 5: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

The HDL Proteome is Vast

SAA1

PON1ApoA-I

SAA2

ApoHApoA-IV

C3

C4A

C4B

VTN

ApoA-IIApoL-1

ApoDSAA4

ApoC-IV

ApoC-III

ApoC-IIApoC-ILCATCETP

PLTPApoM

ApoF

ApoE

HRP SERA1

KNG1

ORM2

AGT

AHSG AMP

SERF2SERF1

Clusterin

PON3

C9

Lipid Metabolism

ITIH4TTR RBP4 TF FGA

HPX

Proteinase Inhibitor

Complement Regulation

Acute Phase Response

Vaisar, JCI, 2007

Page 6: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Thrombotic Occlusion of Coronary Artery

Enzymatic Weakening of the Fibrous Cap

Platelet and Coagulation Activation at the Lipid Core

Acute Coronary Syndrome and Sudden DeathProteolysis

Complement Activation

Page 7: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Targeted Proteomics for HDLInternal Standard Protein

apoA-I apoB apoC-II

apoC-III apoE apoJ

Hoofnagle, ClinChem, 2012

Page 8: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Paraoxonase 3 is Depleted in Patients withType 1 Diabetes and Artery Calcification

Page 9: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Endothelial Cell FunctionImplicating HDL Lipids

Page 12: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Time (minutes)

Inte

nsity

(cp

s x1

04 )Typical Chromatogram

4 6 8 10

2.0

1.5

1.0

0.5

Page 13: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Inte

nsity

(cp

s x1

04 )Biological Complexity

Time (minutes)4 6 8 10

2.0

1.5

1.0

0.5

SM20

PC

dehydro SM20

Page 14: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 1: Design Data Processing Method

Assign transitions

Page 15: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Set RT and Integration window

Step 2: Design Data Processing Method

Page 16: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 3: Design Data Processing Method

Assign smoothing parameters

Page 17: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Manually pick peak

Step 4: Design Data Processing Method

Page 18: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Method 1 Method 2 Method 3

Step 5: Process the Data

Page 19: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

An Excel spreadsheet with a single transition per tab

Step 5: Export the Data

Page 20: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 6: Manual Integration & Re-process

Identify samples with wrong retention time, etc.Fix processing parameters, reprocessThere are 100 tabs here!

Page 21: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 7: Compile Data: A Single Spreadsheet

Page 22: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Workflow ComplexityThree different LC-MS runsCreate a processing method for each transitionUsing a previously acquired data file:

Assign RT, peak width, smoothing parameters.Process data using this processing methodAdjust processing parameters as neededExport data:

One worksheet in Excel per transitionRandom order of worksheets in ExcelCompile data into a single file

Perform QC:Manually ensure proper integration (retention time, peak shape)Export dataPerform QC

Lather, Rinse, Repeat...

Page 23: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Possible Solution: Skyline

Easy to manipulate large data sets

Chromatographic alignment

Automated peak integration

Simple report configuration

Simple data export

Page 24: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Possible Solution: Skyline

Tricking Skyline

Set one amino acid to be the fragment for the class of lipids

Set another amino acid to add up to the right precursor mass

Pretend the two amino acids are a peptide

Page 25: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Ceramides (CER, GluCer, LacCer)

Phosphatidylcholine (PC)

Sphingomyelins (SM)

M+H+

Modified GlycineChemical Formula

Inventing Amino Acids: The Constant Part

264

184

C15H24

C10H4

Page 26: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Inventing Amino Acids: The Variable Part

C18 Ceramide (d18:1/18:0)

C20 Ceramide (d18:1/20:0)

C22 Ceramide (d18:1/22:0)

M+H+

Modified AlanineChemical Formula

548

604

C13H13

C17H21

576 C20H13

Page 27: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 1: Invent Modified Amino Acids

Page 28: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 2: Invent New "Proteins" and "Peptides"

Page 29: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 3: Modify the Amino Acids on the "Peptides"

Page 30: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 4: Import Data

Page 31: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 5: Manually Pick Peaks if Needed

Page 32: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

Step 6: Export the Data

Page 33: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

A Deliverable: One Tab on One Spreadsheet

Page 34: Using Skyline for Targeted Lipidomics User's Group Meeting June 9, 2013 Hari Nair, PhD Andy Hoofnagle, MD PhD University of Washington

An Experiment: The Data First

How long would you be willing to spend to get this amount of data?Vendor Software: 15 hours, Skyline: 4 hours

Actively collaborating with the author of the software: Priceless

Lipid in HDL extract Within Day CV Between Day CV Lipid in HDL extract Within Day CV Between Day CVCer(d18:1/12:0) 9% 9% PC(18:0/20:3) 12% 15%Cer(d18:1/24:0) 12% 11% PC(18:0/22:5) 11% 16%

Glucosylceramide (d18:1/12:0) 8% 9% PC(18:0/22:6) 10% 15%PC(10:0/16:0) 12% 30% PC(18:1/22:6) 8% 14%PC(10:0/18:1) 10% 19% PC(20:5/16:0) 13% 15%PC(12:0/17:2) 11% 35% SM(d18:0/16:0) 9% 14%PC(12:0/18:1) 9% 14% SM(d18:0/18:0) 10% 17%PC(12:0/18:2) 10% 14% SM(d18:0/20:0) 11% 15%PC(13:0/20:3) 11% 14% SM(d18:0/22:0) 9% 15%PC(14:0/18:1) 11% 13% SM(d18:1/12:0) 8% 14%PC(14:0/18:2) 9% 14% SM(d18:1/12:0)-18 11% 22%PC(14:0/18:3) 13% 11% SM(d18:1/16:0) 10% 13%PC(15:0/20:5) 11% 14% SM(d18:1/16:1) 11% 15%PC(15:0/22:6) 11% 15% SM(d18:1/18:1) 11% 13%PC(16:0/18:1) 11% 15% SM(d18:1/20:0) 11% 14%PC(16:0/18:2) 10% 13% SM(d18:1/22:0) 11% 14%PC(16:0/20:3) 10% 14% SM(d18:1/22:1) 10% 14%PC(16:0/20:4) 10% 13% SM(d18:1/24:0) 10% 16%PC(16:0/22:4) 11% 15% SM(d18:1/24:1) 8% 15%PC(16:0/22:5) 10% 14% SM(d18:2/18:1) 13% 14%PC(18:0/11:1) 14% 17% SM(d18:2/22:1) 11% 13%PC(18:0/18:2) 11% 15% SM(d18:2/24:1) 10% 17%PC(18:0/20:2) 10% 17%