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Section III: Workflow Tools<br />

chapter 19: Discovery<br />

How do I select the most relevant PTM to study<br />

The first step to discovery of novel PTM alterations in response to disease states or drug treatments<br />

is selecting the appropriate class of modifications for enrichment. If you are not certain which specific<br />

classes of modifications are altered in your experimental system, you can first perform a series of<br />

western blot analyses employing a panel of motif antibodies that detect a range of different PTMs<br />

(KinomeView ® ).<br />

What type of data can I expect<br />

from PTMScan ® kits and services<br />

The data set generated by a PTMScan service experiment includes not only quantification of PTM<br />

changes, but also the identity of each protein and specific location of each modification site. For ease<br />

of interpretation, the experimental results can be viewed at a global level as a scatter plot, as a detailed<br />

table view (below), or as a domain map for a selected protein. Using the appropriate LC-MS/MS platforms<br />

and informatics processing, the PTMScan kits can be used to generate comparable results.<br />

Identify Key Targets from Thousands of Peptides<br />

The process of data refinement can be illustrated by a simple scenario. A typical PTMScan proteomic<br />

analysis focused on a single class of PTM might identify 1,000–3,000 unique modified peptides. Of<br />

these, perhaps 50–100 might exhibit a clear change in modification that correlates with tissue type or<br />

with the expected biology and pathway associated with the cell treatment employed in the study. With<br />

further WB and/or ELISA experimentation, you can shorten this list of candidate PTM sites to a limited<br />

subset of actionable targets (1,4,6).<br />

Identify 1,000-3,000 unique PTM-containing peptides<br />

Adjust signal:noise cutoff<br />

to optimize results<br />

Representative PTMScan ® data, revealing the protein identity,<br />

site location, and relative abundance for each PTM detected.<br />

Normalized Fold Change<br />

SU11274 vs.<br />

DMSO Control<br />

Staurosporine<br />

vs. DMSO Control<br />

Protein<br />

Name Site -7/+ 7 Peptide Upstream Kinase<br />

-5.0 -4.6 EphA2 897 RVSIRLPsTSGSEGV LPS*T*SGSEGVPFR Akt1<br />

-13.6 -2.1 FOXO1A 319 TFRPRTSsNASTISG TSS*NASTISGR Akt1<br />

-158.0 -7.2 FOXO4 32 QSRPRSCtWPLPRPE SCT*WPLPRPEIANQPSEPPEVEPDLGEK Akt1<br />

-3.4 1.8 QIK 358 DGRQRRPsTIAEQTV RPS*TIAEQTVAK Akt1, Akt2<br />

-13.3 -29.4 S6 235,<br />

236,<br />

240<br />

-7.0 -24.5 S6 236,<br />

240<br />

IAKRRRLsSLRASTS RLS*S*LRAS*TSK Akt1, Akt2,<br />

P70S6KB, PKACA,<br />

PKCA, PKCD<br />

AKRRRLSsLRASTSK RLSS*LRAS*TSK Akt1, Akt2,<br />

P70S6KB, PKACA,<br />

PKCA, PKCD<br />

2.6 1.1 BRAF 365 GQRDRSSsAPNVHIN SSS*APNVHINTIEPVNIDDLIR Akt1, Akt3<br />

-7.0 -9.4 GSK3B 9 SGRPRTTsFAESCKP TTS*FAESCKPVQQPSAFGSMK Akt1, AurA,<br />

CAMK2B, GSK3B,<br />

KHS1, PKACA,<br />

PKCA<br />

-5.3 N.D. GSK3B 9, 21 SGRPRTTsFAESCKP TTS*FAESCKPVQQPS*AFGSMK Akt1, AurA,<br />

CAMK2B, GSK3B,<br />

KHS1, PKACA,<br />

PKCA<br />

-21.3 -3.0 PEA-15 116 KDIIRQPsEEEIIKL DIIRQPS*EEEIIK Akt1, CAMK2A,<br />

CK2A1<br />

-2.1 -2.9 GSK3A 21 SGRARTSsFAEPGGG TSS*FAEPGGGGGGGGGGPGGSASGPGGTGGGK Akt1, CAMK2B,<br />

PKACA, PKCA,<br />

PKCB<br />

-10.3 -1.8 RANBP3 126 VKRERTSsLTQFPPS TSS*LTQFPPSQSEER Akt1, ERK1, RSK2,<br />

p90RSK<br />

2.7 2.5 eIF4B 422 RERSRTGsESSQTGT TGS*ESSQTGTSTTSSR Akt1, p70S6K,<br />

p90RSK<br />

4.8 2.5 eIF4B 422,<br />

425<br />

RERSRTGsESSQTGT TGS*ESS*QTGTSTTSSR Akt1, p70S6K,<br />

p90RSK<br />

Table view presentation of data from PTMScan ® analysis of MKN-45 cells treated with SU11274 or staurosporine. Shown<br />

are representative data for the basophilic Akt substrate motif RXRXX(s/t) or RXX(s/t). Relative abundance changes of 2.5-fold or greater<br />

(treated versus control) for phosphorylated peptides are indicated by green (increase) or light red (reduction) highlighting. Incrementally<br />

darker highlighting in this image indicates abundance changes in the ranges of 2.5- to 24.9-fold and of greater than 25-fold, respectively.<br />

Analyze in context of known biology<br />

of treatment or system<br />

Map results using protein<br />

interaction database service<br />

to reveal novel pathways<br />

WB and/or<br />

ELISA validation<br />

Potential<br />

key nodes<br />

(

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