# Proteomics Core

> **NIH NIH P01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2022 · $145,288

## Abstract

ABSTRACT – PROTEOMICS CORE
 Signaling networks are crucial for the orchestration of cellular functions in response to stimuli. Knowledge
of the structure of these networks provides a basis for understanding the pathological consequences of their
malfunction and offers opportunities for designing therapeutic interventions. The complexity of these networks
and the speed with which signals are transmitted in cells makes mapping them a formidable challenge. The
typical approach for elucidating the structure of cellular signaling networks involves an iterative process of
creating signaling protein disruptions, domain mutants and site-directed mutants followed by characterization
of each mutant through a battery of cellular activation assays. As a complementary approach, modern
proteomic methods using quantitative mass spectrometry can facilitate the hypothesis-driven characterization
of signaling pathways by providing a global view of cellular phosphorylation and protein-protein interactions
through a variety of activation states.
 The Core B, Proteomics core will make cutting-edge, quantitative proteomic capabilities and computational
analysis available to the investigators of this program project. The core will provide identification and relative
quantitation of the protein composition and post-translational modification state of proteins using modern
LC/MS techniques. This core has a strong track record of fruitful collaboration with the PI's of the program
project culminating in the generation of 7 large phosphoproteomic and 8 CoIP-LCMS protein interaction
datasets and publication of collaborative papers which elucidated the molecular details of how ZAP-70 is
recruited to LAT and how the catalytic activity of ZAP-70 mediates basal signaling and negative feedback of T
cell receptor signaling. The core has recently developed new technologies for the characterization of protein
interaction networks in living cells using TurboID and the deepest possible characterization of phosphorylation
networks using Src SH2 domain Superbinder and TMT BOOST channels. These newly developed methods
will be leveraged to support the project PIs to determine protein-protein interactors and phosphorylation sites
from T cell lines and primary mouse T cells. The core also has a suite of computational tools to provide
rigorous statistical analysis of the proteomic data and to make new signaling pathway predictions.

## Key facts

- **NIH application ID:** 10428137
- **Project number:** 2P01AI091580-11A1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** ARTHUR Robert SALOMON
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $145,288
- **Award type:** 2
- **Project period:** 2011-07-15 → 2027-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10428137

## Citation

> US National Institutes of Health, RePORTER application 10428137, Proteomics Core (2P01AI091580-11A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10428137. Licensed CC0.

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