peptide quant workshop santa clara site€¢ ultimate sub-attomole sensitivity for synthetic peptide...
TRANSCRIPT
![Page 1: Peptide Quant Workshop Santa Clara Site€¢ Ultimate sub-attomole sensitivity for synthetic peptide spiked in tryptic digest using the 6495 with nanoflow chromatography • Wide (over](https://reader031.vdocuments.net/reader031/viewer/2022022601/5b45dade7f8b9ad1138bffb3/html5/thumbnails/1.jpg)
Peptide Quant Workshop
Santa Clara Site
Christine Miller
Omics Market Manager
December 2015
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Topics
6495 QQQ
Standard flow vs Nanoflow
Software tools
Automation
Your thoughts
December 2, 2015
Peptide Quant Workshop
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Proven iFunnel Technology
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Peptide Quant Workshop
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Agilent Jet Stream Hexabore Capillary Dual Ion Funnel
• Thermal gradient focusing• Efficient desolvation • Creates an ion rich zone
• Six capillary inlets• Samples x10 times more ion
rich gas
• Removes the gas but captures the ions
• Removes neutral noise
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Agilent Jet Stream Ion Generation
Nozzle voltage
MS inlet
Resistive samplingcapillary
Nebulizing gas
Heated drying gas
LC sample inlet
Super-heated sheath gas
The collimated thermal containment zone creates a dramatically “brighter source”
ESI
AJS
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Jet Stream Proteomics
Agilent’s unique solution for proteomics that uses the 1290+Jet Stream source with our ion funnel MS systems
Jet Stream proteomics is• Used for both discovery and targeted experiments• Enables near nanoflow sensitivity for proteomics• Intended for scientists who are not sample limited (plasma, cell cultures,
plants, food, etc.)• Offers the ease-of-use, robustness and reproducibility associated with
standard flow separations
December 2, 2015
Jet Stream Proteomics Kickoff
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Why is Agilent Jet Stream Technology an Advantage?
Agilent Jet Stream shows mass-flow dependent behavior • Sensitivity depends on absolute
amount (mass) injected• Using smaller i.d. columns with
standard sources does NOT increase sensitivity!
Jet Stream source provides 3-5x signal increase compared to ESI
Combined with sensitivity of ion funnel systems, makes standard flow feasible!
December 2, 2015
Jet Stream Proteomics Kickoff
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2x10
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2
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2.8
Counts vs. Acquisition Time (min)
1 2 3 4 5 6 7 8 9
2.1 mm column
0.5 mm column
575.5937.5
2x10
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Acquisition Time (min)3 3.5 4 4.5 5 5.5 6 6.5 7
AJS normalized response
ESI relative response
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Journal Article Demonstrates Agilent Jet Stream Performance
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Jet Stream Proteomics Kickoff
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Buckenmaier S, Miller CA, van de Goor T, Dittmann MM. J Chromatogr. A 2015, 1377:64-74.
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Continual HPLC Innovation
December 2, 2015
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Infinity II series
A-line fittings
AdvanceBio columns
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6495 QQQ TechnologiesContinued Development
December 2, 2015
Peptide Quant Workshop
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12
3
• New Detector with High Energy Conversion Dynode
• Improved NEG ion detection with low noise 3
• New Tapered Hexapole Collision Cell• Effective ion collection and transmission2
• New Enhanced Q1 Ion Optics• Improved ion transmission1
Proven iFunnel Technology• Agilent Jet Stream• Hexabore Capillary• Dual Ion Funnel• Increased ion generation• Enhanced ion sampling
Quantitative Applications• Enhanced peak area response• Improved peak area %RSD• More sensitive and precise• Lower Limits of Detection (IDL)and
Quantitation (LLOQ)• More reliable and robust
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Improved Sensitivity and Precision – Peak Area %RSDReserpine (+) and Chloramphenicol (-) at low levels, 5 fg on-column
12/2/2015
6495 Webinar
10
6495 QQQ Avg. Area = 157Area %RSD = 6.1
6490 QQQAvg. Area = 47Area %RSD = 10.4
6495 QQQAvg. Area = 121Area %RSD = 2.7
6490 QQQAvg. Area = 40Area %RSD = 5.6
5 fg reserpine (+) (n=10) 5 fg chloramphenicol (-) (n=10)
3 x higher area responseLower area %RSD
3 x higher area responseLower area %RSD
• The improved sensitivity of the 6495 QQQ LC/MS system results in enhanced peak area response and improved area precision (%RSD), especially at the low levels
• This ultimately leads to lower instrument detection limits (IDLs) compared to previous designs
2x10
0.35
0.4
0.45
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0.55
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0.65
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1
1.05
1.1
1.15
1.2
1.25
1.3
1.35
Counts vs. Acquisition Time (min)0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9
2x10
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Counts vs. Acquisition Time (min)0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3 3.2 3.4 3.6
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Nanoflow LC vs. Standard Flow
NanoflowProvides the ultimate sensitivity
Less sample means less trypsin and SIS peptides are required
Lower solvent consumption
Standard flowEasy to learn and use
Fast run times
Flexibility in columns
Robustness
Large loading capacity
Label-free quant possible
Peptide Quant Workshop
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5 µg of protein digest requires only 80 nL of plasma!!!!100 µg digest is 1.7 µL plasma
December 2, 2015
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MRM Analysis of INDISHTQSVSSK in Mouse Plasma
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1.111.741 5833
12.053 839
Counts vs. Acquisition Time (min)
11 11.2 11.4 11.6 11.8 12 12.2
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4.428 5092
Counts vs. Acquisition Time (min)
3.9 4 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9
10x more injected on Agilent Jet Stream system
Jet Stream Proteomics Nanoflow
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Superior Standard Flow Chromatography with the AdvanceBio Peptide Mapping ColumnPacking has 120Å pore size with superficially porous 2.7 μmparticles
Specially tested with a challenging peptides mix to ensure reliable peptide mapping performance
Exceptional resolution and speed for UHPLC, and excellent results for conventional HPLC too
Available in a range of column lengths including 250 mm!
December 2, 2015
Jet Stream Proteomics Kickoff
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Comparison of Standard Flow and Nanoflow Chromatography: Sharper Peaks with UHPLC
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4x10
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7
8
39.969 0.932
45.177 0.573
5x10
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4
4.544.966 1.870
41.594 1.864
Counts vs. Acquisition Time (min)
38 40 42 44 46 48
4x10
1
2
3
4
5
6
49.719 0.473
58.367 0.337
5x10
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2
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5
58.100 2.217
Counts vs. Acquisition Time (min)
48 50 52 54 56 58 60
4x10
0
1
2
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5
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7
70.047 0.686
72.143 0.451 84.349 0.56680.251 0.608
5x10
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
82.836 2.650
78.518 1.553
Counts vs. Acquisition Time (min)
68 70 72 74 76 78 80 82 84 86
Jet StreamProteomics
NanoLC
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Stability of Standard Flow LC/MS
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Retention time stability
Peak area stability
High retention time stability
Narrow RT windows in DMRM
Fewer overlapping transitions
Longer dwell times
Better data
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Outstanding Sensitivity with Standard Flow LC
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LVNEVTEFAK - 11 Levels, 11 Levels Used, 110 Points, 110 Points Used, 0 QCs
Concentration (amol on-co
0 500000 1000000 1500000 2000000 2500000 3000000 3500000 4000000 4500000 5000000
Re
spo
nse
s
7x10
-0.2
0
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2.6
2.8
3
y = 5.884906 * x - 2.453268 R^2 = 0.99761971 Type:Linear, Origin:Ignore, Weight:1/x
Levels %RSD(n = 10)
%Accuracy
RT %RSD(n = 100)
5 amol 14.0 109.8
0.12
7.5 amol 16.0 108.715 amol 9.4 105.030 amol 9.0 87.1300 fmol 1.6 85.23 fmol 1.2 81.430 fmol 0.6 86.4300 fmol 0.7 87.43 pmol 2.1 105.65 pmol 10. 97.5
Concentration (amol on-co
5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
0
0.2
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1
1.2
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1.8
2
2.2
2.4
Zoom-in 5 – 30 amol
LVNEVTEFAK 5 amol – 5 pmol6 OrdersR2 = 0.998
• Low attomole sensitivity for synthetic peptide spiked in tryptic digest using the 6495 with standard flow chromatography
• Six orders of linear dynamic range• Excellent precision and accuracy are observed at all levels including the LLOQ
level
Blank
3 amol
5 amolArea %RSD = 14.0, n = 10%Accuracy = 109.8
7.5 amol
LOD
LLOQ
Injection volume = 1 µL
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Excellent Precision and Low Attomole Level IDL
December 2, 2015
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Amount measured Replicates %RSD t (99%) IDL5.0 amol (LLOQ) n = 10 injections 14.0 2.821 2.0 amol
MDL = t x (%RSD/100) x Amount = 2.821 x (14.0/100) x 5.0 amol = 2.0 amol
Injection # Peak Area
1 30.5
2 28.7
3 30.4
4 33.91
5 35.1
6 31.5
7 34.5
8 20.7
9 26.7
10 26.6
%RSD 14.0
1x10
62.312 29
1x10
62.308 30
1x10
62.312 18
1x10
62.321 24
1x10
62.315 26
Counts vs. Acquisition Time (min)
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8
1x10
6
2.314 29
1x10
6
2.319 26
1x10
6
2.309 29
1x10
6
2.308 32
1x10
6
2.309 32
Counts vs. Acquisition Time (min)
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8
5 amol
5 amol
5 amol
5 amol
5 amol
5 amol
5 amol
5 amol
5 amol
5 amol
• Excellent peak area precision (%RSD) are observed at the lowest levels (LLOQs)
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Ultimate Sensitivity with Nanoflow LC
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• Ultimate sub-attomole sensitivity for synthetic peptide spiked in tryptic digest using the 6495 with nanoflow chromatography
• Wide (over 5 orders) linear dynamic range• Excellent precision and accuracy are observed at all levels including the LLOQ
level
LVNEVTEFAK0.5 amol – 0.1 pmol> 5 OrdersR2 = 0.99996
Levels (amol) %RSD %Accuracy
0.5 4.52 103.21 8.50 80.210 5.75 84.6100 4.71 88.91000 1.23 85.6
10,000 1.09 97.6100,000 1.69 100.4
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Robustness Test Strategy
12/2/2015
6495 Webinar
20
• Used MRM Proteomics kits to establish initial performance and monitor performance (10 µg load, 40 min method)
• Injected large amounts of plasma digest using short chromatography to accelerate “dirtying” of the system (40 µg load, 15 min method)
• No cleanup of plasma digest and no flow diversion –maximized dirtying of system
Proteomics MRM Kit• To establish baseline
response
40µg plasma digest• To dirty the instrument
(10 min runs)
Proteomics MRM Kit• Every 50 injections• To monitor MRM area
response
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Robust Standard Flow Chromatography: 40 SIS Peptides in Plasma
6x10
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1
1.1
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1.73.032 10.725
7.706
4.834
16.779
8.3845.898 15.13912.224 13.703 19.6723.813 6.6405.443 16.0809.811 21.63318.250
1 1
Counts vs. Acquisition Time (min)
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
Overlay of 238 transitions from 40 peptides in QC kit from MRM Proteomics
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Proven System Robustness in Complex Matrix: Protein Quantitation in Plasma
12/2/2015
6495 Webinar
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• No significant signal degradation observed after 853 injections of 40 µg plasma digest per injection and 3.5 weeks of continuous operation
• Response %RSD: 6 - 15
0.00%
20.00%
40.00%
60.00%
80.00%
100.00%
120.00%
140.00%
01/06/14 01/11/14 01/16/14 01/21/14 01/26/14 01/31/14 02/05/14
Apolipoprotein E
L-selectin
Plasminogen
Albumin_serum
Kininogen
Transthyretin
Hemopexin
Response Normalized to Day 1 Response
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Post-Robustness Test Cleaning of Source
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23
After rinsing with water, a biofilm could be seen which was peeled off from the spray shield and endplate.
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Increased Signal (60-120%) with Higher HED
ASMS 2014
24
15 kV
20 kV
0102030405060708090
HED
Volta
ge
Resp
onse
Incr
ease
(Rel
ativ
e to
10
kV)
Product Ion (m/z)
Enolase Digest
15 kV
18 kV
20 kV
-15 kV
-20 kV-50
0
50
100
150
204.
0859
366.
1385
528.
1903
1199
.597
651
1253
.600
822
1352
.669
236
1392
.583
314
51.7
3765
1465
.634
248
1538
.639
515
94.6
7684
116
11.7
6829
916
67.7
5812
816
93.7
4525
517
12.8
1597
717
64.7
8236
818
77.8
6643
218
93.8
5348
519
92.8
9337
619
92.9
2189
921
76.9
7816
822
27.8
787
HED
Vol
tage
Res
pons
e In
crea
se (R
elat
ive
to -1
0 kV
)
Product Ion (m/z)
Anti-HER2/neu mAb Peptides
-15 kV-18 kV-20 kV
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Increased Mass Range Useful for Peptides
ASMS 2014
25
2x10
0
0.25
0.5
0.75
1
1.25
1.5
1.75
2
2.25
2.5
2.75
3
3.25
3.5
3.75
4
4.25
4.5
4.75
5
5.25
5.5
5.75
204.
0859
0
366.
1385
0
1392
.583
30
1538
.639
50
528.
1903
0
2227
.878
70
1920
.771
00
Counts vs. Mass-to-Charge (m/z)
200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100 2200
QQQ MRM spectrum for glycopeptide: EEQYN[+1606.6]STYR (G1F)
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Increased Mass Range Useful for Peptides
ASMS 2014
26
MRM Spectrum Skyline Overlay of MRM Chromatograms
2x10
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1594
.676
84
1465
.634
25
1764
.782
37
1693
.745
26
1877
.866
43
2176
.978
17
1992
.893
38
Counts vs. Mass-to-Charge (m/z)
1400 1500 1600 1700 1800 1900 2000 2100 2200
Predicted5.0
4.4 4.5 4.6 4.7 4.8 4.9 5.0Retention Time
0
1000
2000
3000
4000
5000
Inte
nsity
y19 - 2176.9782+ y17 - 1992.8934+y16 - 1877.8664+ y15 - 1764.7824+y14 - 1693.7453+ y13 - 1594.6768+y12 - 1465.6342+
5.04.5 4.6
4.7
MRM Spectrum for IgG Peptide: GFYPSDIAVEWESNGQPENNYK
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Software Tools
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MRM Method Development: Manual Chromatographic Process
• Create Skyline document
• Add proteins/peptides• Export MRM method• Run MRM analyses
Determine RT
• Import MRM results (determine RT)
• Export CE optimization method
• Run CE optimization
Optimize CE• Import CE optimization
results• Export final RT-
scheduled method• Run final method
Create final method
AFO PS 11/19/2013
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Skyline Software: Agilent Automation Tool for Automatic CE Optimization
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Export directly from Skyline to MPP
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Import QQQ data and metadata into MPPNew correlation analysis tools 5991-4984EN
5991-5165EN
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MassHunter Quant Software
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Quantifier/Qualifier ratiosFlag outliersCalculate absolute concReporting
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MassHunter Quant: Compounds at a Glance
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Rapid visualisation of large data sets
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Absolute vs Relative Quant
Absolute Quant
‘Gold standard’
Normalise variation in LC/MS analysis (but not sample prep)
Allows comparison between studies and techniques
SIS peptides useful for interference testing
Relative Quant (Label-free)
Cheap
No waiting for peptides in the post
50% less transitions (longer dwell times)
Absolute quant not always required
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Label-free Quant of Pregnancy Specific Proteins
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Raw
pea
k ar
ea
All 20 samples MARS-14 depleted, digested and desalted
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QQQ as a Discovery Platform
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Map proteins onto pathwaysIdentify pathways and biology
KEGG, BioCyc, WikiPathways
Increase pathway coverage
• Export proteins to Skyline
• Export metabolitesto new method
Find discriminatingProteins
t-test, ANOVA
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Automated Sample Preparation
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The Bravo platform
96-well liquid handling platform• 96LT head (5-250ul)• 96ST head (x-xul)• AssayMap Head
Shakers, heaters, wash station etc.
Bravo can do pipetting
AssayMAP Bravo can do pipetting and chromatography
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AssayMAP Technology
Each AssayMAP cartridge is slurry packed, back-pressure tested, and inspected for voids
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AssayMAP Cartridge Portfolio
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Affinity PurificationProtein A and G Cartridges
Protein Digestion(protocol only - no cartridge)
Peptide Clean UpC18 & RP-S Cartridge
FractionationSCX, C18 & RP-S Cartridge
Workflows: combine individual Apps into powerful workflows
Purify Digest Cleanup
Peptide Sample Prep for mass spec analysis
N-glycan Sample Prepfor HPLC, CE or mass spec analysis
Release and Label Glycans
Applications
EnrichmentTiO2
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Agilent’s Peptide Quant Solutions
Maximum performance, maximum productivity
Highest specification QQQ on the market
Tightest integration with Skyline
Use MRM as a discovery tool as well as validation
Digest, clean-up and LC-MRM analysis on 96 samples in one week.
Use AM Bravo for protein/peptide enrichment or fractionation
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Requested feedback
Do you agree with the perceived benefits of standard flow?Is giving up nanoflow too much of a risk?• How can we minimize that risk?
What limits your peptide quant experiments?• Availability of samples?• Time taken for sample prep?• Time taken for LC-QQQ analysis?• Time for data analysis?• Cost per sample?
What are your priorities? What can get funded?• Walk-away time• Reproducibility• Clever chromatography• Flexibility in applications
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