Applications of mass spectrometry to cardiovascular research
Transcript of Applications of mass spectrometry to cardiovascular research
Barnes-January 21, 2003
Applications of massspectrometry to
cardiovascular researchStephen Barnes, PhD
Department of Pharmacology &Toxicology, UAB
Barnes-January 21, 2003
Overview of the talk
• Vaporizing peptides, proteins and heatsensitive compounds
• Separating and identifying proteins
• Confirmation of protein identity andposttranslational modifications
Barnes-January 21, 2003
Congratulations to theCongratulations to theNobel Laureates - 2002Nobel Laureates - 2002
"for the development of methods for identification and structureanalyses of biological macromolecules"
and"for their development of soft desorption ionisation methods formass spectrometric analyses of biological macromolecules"
John Fenn Koichi Tanaka
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Electrospray Electrospray Ionization (ESI)Ionization (ESI)
VacuumAtmospheric pressure
MassAnalyzer
N2 curtain gas
+HV
nebulizinggas
sample solution
++ +
+ +
+ +
++
+++
++
++
[M + nH]n+
++
1. Solvent evaporation2. Coulombic repulsion
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Use of LC-MS to measure Use of LC-MS to measure isoflavonesisoflavones
241/119
253/223
269/133
0 1 2 3 4 5 6
Time (min)
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50
0
Rel.
Int.
(%) 7260
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Rel.
Int.
(%) 8625
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Rel.
Int.
(%) 9745
Standards
Equol
Daidzein
Genistein
0 1 2 3 4 5
Time (min)
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50
0
Rel.
Int.
(%) 238
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Rel.
Int.
(%) 23,590
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Int.
(%) 16,860
241/119
253/223
269/133
Equol
Daidzein
Genistein
Rat serum
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LC-MS analysis of LC-MS analysis of prostanoidsprostanoids
351/271
335/195
295/277
319/115
0.0 2.0 4.0 6.0 8.0 10.0
Time (min)
100
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0Rel
. In
t. (
%) 525
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0Rel
. In
t. (
%) 605
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. In
t. (
%) 430
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0Rel
. In
t. (
%) 780
PGE2
Leukotriene B4
13S-HODE
5S-HETE
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LC-MS of peptide mixtures
Q1 Q2
Collision gas
Electrostaticreflector
TOF detector
Analytical reverse phase column75 mm i.d. x 15 cm
Flow rate 200 nl/min
Acetonitrile gradient
pre-columnfor desalting
waste
Loadsample
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• Hydrolyze everything!
• For a cell expressing 5,000proteins, this leads to>100,000 peptides
• Can be fractionated, but still10,000-20,000 to differentiate
• Enormous bioinformaticsproblem
MUDPIT - MUDPIT - MUMUltilti--DDimensionalimensionalPProtein rotein IIdentification dentification TTechnologyechnology
MS-MS analysison Qqtof
Massive computing
nanoLC
0-40% MeCNgradient
10 mM
20 mM
40 mM
60 mM
80 mM
100 mM
NaCl (1-200 mM step gradient)
200 mM
Cation exchangecolumn (H+)
John Yates
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Matrix-Assisted LaserDesorption Ionization (MALDI)
Flight tube and drift region tomeasure the time-of-flight (TOF)
Accelerating pulse
Short laserpulse
detector
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Posttranslational modifications
Differential mRNAsplicing accountsfor a small part ofthe protein formsarising from a gene- the remainder aredue to chemicalalterations of theprotein AFTER it’sbeen translated
- leader sequence
farnesylation
N-acetylation
phosphorylation
oxidation
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Posttranslational modifications
• some are permanent (removal of N-terminal Met, N-glycosylation atasparagine, farnesylation on cysteines)
• some are transient (phosphorylation, O-glycosylation on Ser, Thr and Tyr)
• others are unintended (nitration,oxidation)
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How can we detect PTMs?
Combination of:– isoelectric focusing (pI changes of
single proteins) and electrophoresis
– affinity isolation (to detect all proteinswith a specific chemical grouping)
– mass spectrometry (molecular weightchanges)
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Detecting a modification using 2DE
• Adding a phosphate residue to a serine,threonine or tyrosine residue increases theacidity of the protein, i.e., its isoelectric point (pI)decreases with only a small change in MW– This causes the protein to shift horizontally in 2DE
• Adding a ubiquitin residue to a specific lysineresidue adds over 8 kDa to the MW– This causes the protein to be shifted upward (higher
MW)
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Differential protein labeling with Cy3 and Cy5Superimposed images from the same gel
of normal and cancer cell lines from the breast
Courtesy of Helen Kimand Jessy Deshaine
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WaterBath37oC
Speed-Vac
trypsinIncubate
overnight 1:20
Peptide finger print mapping
destain
Eppendorftube
MALDI plate
DesaltingZiptip
684.
1178
9.57
1048
.72
1122
.79
1165
.80
1277
.83
1461
.00
1705
.16
1838
.26
1937
.22
1994
.24 21
37.2
122
84.2
523
84.2
7
2647
.50
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5000
10000
15000
Co
un
ts
1000 1500 2000 2500 3000
Mass (m/z)
MALDI-TOFanalysis
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Peptide fingerprint mapping
• Assuming a 1 Da mass measurement accuracy,“theoretically” it takes on average 2.1-2.3 peptidemasses to uniquely identify a protein from adatabase of all possible peptides (generated insilico) resulting from action of a specific peptidase– In practice, 4-6 peptides are generally needed
• Analysis of a 2DE protein spot requires 100 fmol (5ng of a 50 kDa protein)– Smaller amounts can be detected, but coverage is low
Barnes-January 21, 2003
D masses from modifications
Change (Da) Chemical type
-79 5' dephospho
-58 Desmosine (from Lysine)
-48 decomposed carboxymethylated Methionine
-44 decarboxylation of gamma carboxy Glutamate
-43 gamma-glutamyl semialdehyde (from arginine)
-42 Ornithine (from Arginine)
-34 Lysinoalanine (from Cysteine)
-34 Lanthionine (from Cysteine)
-34 Dehydroalanine (from Cysteine)
-30 Homoserine formed from Met by CNBr treatment
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D masses from modifications
D Da Chemical change
78 3-Bromination (of Tyrosine with 79Br)
78 L-O-bromination of Phe with 79Br
80 L-O-bromination of Phe with 81Br
80 Sulphonation (SO3H) (of PMC group)
80 Sulphation (of O of Tyrosine)
80 Phosphorylation (O of Serine, Threonine, Tyrosine and Aspartate, N-epsilon of Lysine)
80 3-Bromination (of Tyrosine with 81Br)
For all the others, http://www.abrf.org/index.cfm/dm.home
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Tyrosine modifications
tyrosineCH2
OH
CH2
OH
CH2
OH
CH2
OHCH2
OH
CH2
OHCH2
OHCH2
OH
NO2
Cl
Br
3’-nitrotyrosine
3’-chlorotyrosine
3’-bromotyrosine
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Site-specific nitration of a tyrosine-Site-specific nitration of a tyrosine-containing peptide using CID MS-MS spectracontaining peptide using CID MS-MS spectra
100
75
50
25
0
Rel.
Int.
(%)
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m/z
36
27
18
9
0
Rel.
Int (
%)
129
147 183
200
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258
276
291
408
448
484
537594
611 647
682
129147
183
200
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258276 363
403
439
492 549567
637
y5
y4b4
y3b3
b2
y2y1
200 408 537 665
NO2
A Q Y E K683 612 484 276 147
200 363 492 620
A Q Y E K638 567 439 276 147
b2
y1
y2 b3
y3
b4y4
y5
+45
nitrated protein
control
Crow et al (1997)
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AcknowledgmentsAcknowledgments
• Jessy Deshaine
• Kenneth Jones
• Helen Kim, PhD
• Marion Kirk
• Heath McCorkle
• Ray Moore
• Landon Wilson
Support from:
• NIH to Purdue-UABBotanicals Center forAge-Related Research
• NCI to UABComprehensiveCancer Center
• NCRR for SharedInstrument Awards