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Profiling and Imaging Mass SpectrometryProfiling and Imaging Mass Spectrometry
Compilation of Work from the Caprioli Lab
James Mobley, Ph.D.Director of Urologic ResearchAssociate Director of Mass SpectrometryUniversity of Alabama at [email protected]
Primary Focus of TodayPrimary Focus of Today’’s Lecture?s Lecture?
• Brief Overview of Biomarker Discovery for Clinical Applications, Why do we do it, Why do we Often use MALDI-ToF?
• Understanding Advances in MALDI-ToF Driven Profiling of Tissue Sections for BMD.
• How to produce a Mass Image from a Series of Profiles.• What to Do with All that Data.• How to ID those Peaks, are they really Proteins?
First offFirst off………………....Why Do Biomarker Discovery?Why Do Biomarker Discovery?
• To find associations between biological components (i.e. SM, FA’s, Proteins) and any clinical endpoint quickly, non-invasively, affordably.
• To non-invasively determine…..– Pathologic Changes (i.e. early detection of cancer)– Aggressiveness/ Stage of Disease– Predicting Rx Response– Drug Target Discovery– Mechanistic Studies (Systems Biology)
• The Potential Clinical Impact is Tremendous!!
Can 2D PAGE Get Us There?Can 2D PAGE Get Us There?
O. Golaz etal. (1993) Electrophoresis 14 1223-1231. Acidic region IPG, pH 3.5-10
Serum Proteome Anderson, PNAS, 1977
Direct Analysis ~1000 Protein Spots
Pieper, Proteome, 2003Affinity, SCX, Size Exclusion
Yielded 74 Fractions - 2D3700 Proteins Spots327 Distinct Proteins
25yrs later25yrs later
Primarily HMWPrimarily HMWProteins!Proteins!
MALDI-TofCrude Protein
2D PAGE, ID by MALDI-Tof
What About MALDIWhat About MALDI--ToFToF for Biomarker Discovery?for Biomarker Discovery?
Primarily LMW Proteins!Primarily LMW Proteins!
H+
H+
H+
Laser; High Energy Monochromatic Light Source
Detector
Time of Flight TubeAccelerator
DE
---
---
Rel
Inte
nsity
Time (ms) – m/z
A Closer Look? A Closer Look? Matrix Assisted Laser Desorption Ionization (MALDI)Matrix Assisted Laser Desorption Ionization (MALDI)--
Time of Flight (Time of Flight (TofTof) Mass Spectrometry) Mass Spectrometry
Surface Enhanced Probe (SELDI-Tof)
Imaging Mass Spectrometry of Thin Tissue Sections
1. To obtain information on the local protein composition at any coordinate on the section
2. To reconstruct 2-dimensional density maps (or images) for all of the signals detected
3. To extract molecular information from grouped profiles and images indicative of health status
4. To be used in “directed” and “non-directed” discovery; to answer fundamental questions relevant to protein expression in normal and diseased tissues
Acquire mass spectra
Slice frozen tissue on cryostat (~12 μm thick)
Thaw slice onto MALDI plate, allow to dry
Apply matrix
Droplets Spray coating
m/z 18 388
Non-DirectedDiscovery“Imaging”
Directed Discovery
“Profiling”
Laser
+ + +
Laser
+ + +
Protein profiles Protein images
Human breast tumor needle biopsy
% In
tens
ity
17000 27600 38200 48800 59400 700000
2
4
6
8
10 28085
17253
17381
3101144085
43255
41854
6675322265
~50500
70000 116000 162000 208000 254000 300000Mass (m/z)
0
0.6
1.2
1.8
2.4
3 81934
132990
148196
x5
162805
78494
94266 97455
199988
215149
2000 5000 8000 11000 14000 170000
8
16
24
32
4015127α+
15869β+
7564α2+ 7934
β2+
6434
8810
140375360 10091
6633
1164913760
12344
9442
8686
1 mm
Protein expression profiling by MALDI-MS
Human glioma biopsy
Schwartz et Al. Clin. Cancer Res., 10, 981-987 (2004).
15000
Tumor (A)
Tumor (B)
Non Tumor (C)
Non Tumor (D)
m/z4000 8000
Tumor (A)
Tumor (B)
Non Tumor (C)
Non Tumor (D)
X 5
A B
C
D
3 mm
Non-Tumor
Tumor
Brain glioma section stained with Methylene blue
200x
2 mm
2000 5600 9200 12800 16400 200000
10
20
30
40
50
% In
tens
ity
20000 30000 40000 50000 60000 70000Mass (m/z)
0
2
4
6
8
10%
Inte
nsity
6700 7340 7980 8620 9260 9900
Principle of MALDI MS Imaging
Frozen section
Matrixapplication
MALDI Mass Spectrum
4000 6000 8000 10000m/z
MS Images
Raster of section
Spray deposition of matrix on tissue sectionsSpray nebulizer for TLC plates
NitrogenMatrix solution Tissue section
3000 8400 13800 19200 24600 30000Mass (m/z)
0
20
40
60
80
100%
Inte
nsity
5445
6228
95694965 6575
9906
11208 140051223926838
18310
16773
20746
3000 8400 13800 19200 24600 30000Mass (m/z)
0
20
40
60
80
100
% In
tens
ity
Spotted
Sprayed
5445
6228
9569
4965
6575
9906
11208
1400512239
268351677320746
200 μm
Comparing matrix coatings: “Applied Biosystems DE-STR”
50um Laser spot
2000 8600 15200 21800 28400 35000Mass (m/z)
0
20
40
60
80
100
% In
tens
ity
1130
8, f)
1498
3
1213
4
7539
, d)
9620
1378
2
3458
6720
, c)
8565
1561
9
9978
, e)
2217
3
1841
2, g
)
5708
4965
5445
1412
7
~299
00024
779
2464
2
9978
8565
9620
9327
9293
8546
8982
9912
9079
8946
1026
0
7934
x30
m/z 6720
m/z 9978
m/z 11 308 m/z 18 412
m/z 7539
12
3
3 mm
0 100%
Mouse Brain Imaging resolution:50 μm
Chaurand et Al. Anal Chem, 76, 86A-93A (2004).
4965
8565
4747
5444
5708
7810
, β2+
6573
5171
7537 9910
6719
6251
2000 3800 5600 7400 9200 11000
7492
, α2+
6545
1025
9
3347
9193
1213
4
1994
0
1164
1
1237
2
11000 13800 16600 19400 22200 25000Mass (m/z)
1679
0
2074
3
NT)
T)
2217
3
9975
1498
2, α
+
1561
8, β
+ x25
NT)
T)
Rel
ativ
e in
tens
ities
Tumor
Tumor Non tumor
2 mm
Glioma mouse model - intracranial injection of GL261 cancer cells
m/z 12 134Cytochrome C
m/z 22 173
m/z 7539
m/z 14 039m/z 11 307 and 11 348Histone H4
m/z 13 804 and ~15 350Histones H2B1 and H3
m/z 18 420m/z 14 982 and 15 617α and β hemoglobins
m/z 6924
m/z 24 807
m/z 9910 Acyl CoA-binding protein2 mm
0 100%
Glioma mouse model. Imaging resolution: 100 μm
Chaurand et Al. Anal Chem, 76, 86A-93A (2004).
Tissue Profiling – Which Approach?
Matrix Deposition Variables:
Time Repr. Inherent Spot Res. LaserDemand BG Dependent
Spot Size
Manual Spotting seconds variable N >1mm YRobotic Spotting minutes good N ~200µ YLaser Capture hours good Y ~7µ to 100 µ N
Current Laser Spot Size for Old STR: 25µ x 50µ
The RapidSpotter
Substrate image capturing
Drop imaging
MALDI target with sample
Acoustic drop ejector with reservoir
Computer controlled motorized stage
Strobe LED for drop illumination
Acoustic Drop Ejection technology provides a nozzle-free means of generating microdroplets on-demand
yx “Ejection of microdroplets”Sample plate
Matrix reservoir
Coupling reservoir
Coupling membrane
Transducer
RF generator
Waveform generator
Current performances:- Spot size: ~180-200 µm
- Drop ejection rate: 10 Hz
- Drops per pixel: 60-80
Tissue Sectioning for Protein Profiling
100 µ
Hand Spotting Vs. Pico Spotting Vs. LCM
PicoSpot ~200µ
10x
4xHandSpot ~2mm
H & E Overlay at 4x magnification
H & E Overlay’s are Used to Determine Regions of Interest
Seamless High ResolutionImaging of Histological Slides
Whole Mouse Mammary Gland
Histology Directed Matrix Deposition
Whole Lung Sections
Lung Mets
A2 Not used A3
A4 A5 B1
B2B3 B4
C4 C3 C2 C1
Automating – “Whole Plate Profiling”
MALDI-Tof Plate
6X15dps was found to be optimal for normal glands and tumors of the breast. Spot Sets can be made to coincide with specific histologic features for each section over the entire plate.
. . .
. . .. . .
. . . .
A 12 point calibration can correct for plate placement errors from the PicoSpotter to the STR.
Rapid Spotting Over Entire Plate
Results from Mass Profiling Tissue SectionsLung Mets Vs. Late Carcinoma
M.G. – Late BCa
2 kDa 20 kDa
Calgranulin A
Lung Mets
A)
B)
Manual spotting vsThe RapidSpotter
Mouse brain,Analysis of the corpus callosum
Matrix printing
RapidSpotter Imaging of a Mouse Brain Section
Create custom plate file
1000 μm
2014 15579 29144 42708 56273 69838Mass (m/z)
Inte
nsity
m/z 17885 m/z 11839 m/z 20688
m/z 11790 m/z 6759 m/z 7338
0 %0 % 100 100 %%
Lung TumorHomogenate
Add Post-Translational Modification
MD HPLC
Fractions MwMatches
MwMatches
Database Search Protein ID
5000 12500 20000m/z
*8750 16250
MALDI MS
10000 12500 15000m/z
*Tryptic
DigestionMS/MS
100 300 500 700 900 1100 1300m/z
Schematic Representation of Protein Marker Identification
m/z 22535
m/z 8958
Combined Image
Combined Imagem/z 7930
Normal human colon biopsy
1000 µm
mucosa submucosa
muscle
Rat kidney sagittal section
m/z 9943
m/z 9979
Overlay9950 10000 10050
100
200
300
400
500
600
Inte
nsity
Mass (m/z)
9943
9979
2.5 mm
m/z 17,514
m/z 10,935
Overlay
m/z 9943
m/z 9979
OverlayMass ( )
m/z 17,514
m/z 10,935
Overlay9900
0
cortexmedula
1 cm
Histological tumor margin
Tumor
Non-tumor
Skeletal muscle
Vessel
Fibrous stroma
Molecular Determination of Tumor Margins
Robert Caldwell,
15 x 100 spots250 µm resolution
A
B
C
D
E
A
B
C D
E
Histological vs. molecular assessment of the tumor margin:
1
Laser1; Matrix droplets are regionally deposited on the sample. Each spot area is analyzed using MALDI-MS
N N N N2; Computer algorithms are used to smooth and correct baseline of each spectrum
2 3
T T T T T T T3; Hierarchical cluster analysis of human brain cancer and normal brain spectra
Brain Cancer protein expression profiling by MALDI-MS
Schwartz SA et Al, Cancer Research, 65(17), 7674-7681 (2005)
Non-Tumor
Grade 2 Tumor
Grade 3 Tumor
Grade 4 Tumor
8000 10000Mass (m/z)
Abs
olut
e In
tens
ity
Human glioma protein expression profiling by MALDI-MS
Month post surgery
P-value < 0.000119 proteins were significant
% S
urvi
ving
Pat
ient
Pop
ulat
ion
0
20
40
60
80
100
0 10 20 30 40 50 60
Long-term survival group (n = 46)
Short-term survival group (n = 45)
Kaplan-Meier survival curves for groups with poor and good prognostic. Classification according to the expression pattern of 19 distinct MS peaks
Grade 4 Glioma
N = 25
N = 26
0 10 20 30 40 50
0
0.2
0.4
0.6
0.8
1.0
P-value < 0.0058 proteins where significant
Schwartz SA et Al, Cancer Research, 65(17), 7674-7681 (2005)
HG
50 µm
LG
10650 10740 10830 10920 11010 11100Mass (m/z)
0
20
40
60
80
100
Rel
ativ
e In
tens
ities
10836
11068
10738
HG
LG
010
0% m/z 10836
HG LG
Human brain glioma – Low grade vs. high grade
Immunohistochemistry
m/z 10836, S100 Beta
Proteins are OK……
But What About Drug Distribution/ Metabolism?
Dose animal♦ orally♦ i.v.
Laser
Remove tissue
♦Cut frozenslice (12 μm)
♦Apply matrix
♦Analyze by:MALDI MS andMALDI MS/MS
Reyzer ML et al, J Mass Spectrom, 38, 1081-1092 (2003)Reyzer ML et al, Cancer Res 64, 9093-9100 (2004)
Days post-treatment0 5 10 15 20 25 30 35
0
200
400
600
800
1000
Tum
or V
olum
e (m
m3 )
Captisol 200 µl (vector)OSI 774 100 mg/kg
MMTV/HER2 transgenic mouse mammary tumors
Contributed by M. Sliwkowski (Genentech, Inc.)
● MMTV/HER2 cells transplanted in FVB female mice.
● Tumor grown to a size of ~200 mm3.
● OSI 774 is an intracellular tyrosine kinase EGF receptor inhibitor.
● Administered orally for 1 week
MS/MS analysis of OSI-774 in tumor tissueTumors removed after a single 100 mg/kg dose of OSI-774
1
65
432
4 hr
♦ Monitored CAD transition m/z 394 → 278
Spot #3
240 260 280 300 320 m/z
330
Inte
nsity
278
N
N
NH
CHC
O
O
O
O
m/z 278.1+H
m/z 336.2+H++H
N
N
NH
CHC
O
O
O
O
m/z 278.1+H
m/z 336.2+H++H
MW = 393.4
100 200 300 400 500
278.1
336.2
[OSI774 + H]+
m/z
Inte
nsity
100 200 300 400 500
278.1
336.2
[OSI774 + H]+
m/z
Inte
nsity
Dose dependence of protein alteration (20 hr after dose)
9 control mice,Av of 54 spectra
3x3 dosed mice,Av of 9 spectra per dose
Rel
ativ
e in
tens
ity
thymosin β 4
4700 4780 4860 4940 5020 5100
8300 8400 8500 8600 8700 8800Mass (m/z)
Control10 mg/kg30 mg/kg100 mg/kg
1900 7520 13140 18760 24380 30000Mass (m/z)
Average Ion Spectrum for Whole Rat Sagittal Section
1 cm
Kidney Cortex m/z 4643Cecum wall m/z 5155Thymus m/z 6893Heart m/z 7921Liver m/z 14321Caudal region m/z 14400Brain m/z 21952Muscle m/z 11836
Whole Rat Imaging Sheerin Khatib-Shahid
1 cm
100%100%50%50%00%%
ssiiggnnaall
iinntteennssiittyy
Optical image Brain
m/z 20736
White matter
m/z 10271
Corpus Callosum
m/z 5978
Eye socket
m/z 6858
Rat Head Subsection
Whole Rat Sagittal Section Imaging
Work by Sheerin Khatib-Shahid
Liver
Kidney
Spleen
Cecum
Stomach
Heart
Lung
1 cm
MALDI MS/MS Image of OLZ (m/z 256) in stomach 2 hours post-dose
Optical image of orally dosed (8 mg/mL) rat abdomen
Drug Imaging
MS/MS Image of OLZ, 10x signal intensity with stomach signals masked
N
NH S CH3
N
N
CH3
282
256
213
Olanzapine(MW 313)
Inte
nsity
240 250 260 270 280 290Mass (m/z)
282.1
256.1
kidney liver lung spinal cord brain
testis bladder ? thoracic cavity
thymus
2h Optical Image
Olanzapine m/z 313→256
N-desmethyl metabolite m/z 299→256
2-hydroxymethyl metabolite m/z 329→272
fur
Areas of Further Development
- Increase number of proteins analyzed to >>1000- Develop sample protocols to investigate peptides - Achieve high sensitivity above 50 kDa- Integrate detergents into tissue protocol for membrane
associated proteins
- Pixel-to-pixel cycle time of about 100 ms needed
- Integrate bioinformatic tools, image processing
- Develop sample protocols targeted at specific tissues/diseases
- Improve protein identification protocols
Conclusions
- Excellent discovery tool
- MW annotated patterns keyed to tissue location
- Augments (not replaces) current molecular technologies
- Significant clinical potential (disease diagnosis, state and progression, prognosis, risk assessment (?)
- Provides temporal proteomic profile that, with genomic profile, will be vital to personalized medicine
Tissue Profiling/Imaging MS
FundingNIH (NCI, GMS, NIDA)Vanderbilt University
Acknowledgments
OthersPer Andren, Uppsala UniversityRobert Weil, NIH Walter Korfmacher, Schering-PloughMarkus Stoeckli, Novartis
Vanderbilt CollaboratorsCarlos Arteaga (Breat SPORE Dir.)David Carbone (Lung SPORE Dir.)Robert Coffey Jr. (GI SPORE Dir.)Marie-Claire Orgebin-CristAriel DeutchDennis HallahanPat Levitt Robert MatusikJason Moore Hal MosesJennifer PietenpolNed Porter Yu ShyrRobert WhiteheadKen Schriver
MSRCRichard Caprioli (Director)Shannon CornettJames MobleyMichelle ReyzerJeremy NorrisRobert CaldwellErin SeeleyStacey OppenheimerSheerin Khatib-ShahidPierre ChaurrandKristin BurnumKristen HerringSaturday PuolitaivalHans Reudi AerniGreg Bowersock (IT)Ken Shriver