CST Guide:
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
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 />
(