University of Pittsburgh Cancer Institute (UPCI)

CCSG Acknowledgement

Required CCSG Acknowledgement

The NCI requires that publications acknowledge the UPCI CCSG support, and they are tracking compliance. If a UPCI CCSG-supported Shared Resource provided data used in your publication, please include the following statement in the acknowledgment section of your publication(s):

"This project used the UPCI [insert name(s) of shared resource(s)] that [is/are] supported in part by award P30CA047904."

Shared Resource Directors: Please make sure to include this statement on all of your order forms, contracts, etc. as a reminder to your users to acknowledge the UPCI CCSG support.


Proteomics Services: Targeted Proteomics

Targeted proteomics is a powerful approach that enables quantitative analysis of pre-specified proteins from complex biological samples with high sensitivity and specificity. Targeted assays can be efficiently developed using in vitro-synthesized proteins and applied to measure proteins in vivo.

The MacCoss laboratory recently described an empirically driven approach for generating targeted protein assays in a scalable, economical and generalizable fashion. The method utilizes the rich collection of tagged cDNA clones that are currently available for most human and model-organism proteins to generate in vitro–synthesized full-length protein samples, followed by tryptic digestion and mass spectrometry analysis using selected reaction monitoring (SRM).

Quantitative proteomics experiments require significant up-front planning and development. Please contact Nadine Ryan to arrange an initial discussion with the proteomics and biostatistics groups. In most cases, custom experiments will be needed to:

  1. demonstrate that the targeted protein(s) can be detected by mass spectrometry,
  2. define the amount and type of sample that is required to detect the pre-specified proteins,
  3. optimize the sample collection methods,
  4. develop a reproducible sample processing procedures,
  5. build a mass spectrometry assay, and
  6. refine the statistical analysis methods that will be used to analyze the data.