Research

Decoding the language of cell signaling

All of the projects in our lab are linked together by a common interest in cell signaling—specifically, how dynamic post-translational modifications (PTMs) control all aspects of tumor cell biology, including immune signaling, cell survival, metastasis, and growth.

Modern proteomics has uncovered over 600,000 PTMs across the human proteome and these PTMs come in over 200 varieties. However, we only know the function of a tiny fraction of these PTMs, which limits our ability to manipulate tumor cell biology with therapeutics. We aim to fill this gap with a variety of approaches.

Projects

  • Harnessing the oncogenic phospho-binding protein 14-3-3 as a biological probe to identify mechanisms of tumor cell growth and survival.

    Harnessing the oncogenic phospho-binding protein 14-3-3 as a biological probe to identify mechanisms of tumor cell growth and survival.

  • Discovering the function and regulatory mechanisms of understudied kinases

    Discovering the function and regulatory mechanisms of understudied kinases

  • Uncovering the mechanism of basal autophagy and its links to inflammatory signaling

    Uncovering the mechanism of basal autophagy and its links to inflammatory signaling

  • Developing computational approaches to more efficiently identify PTMs that control cancer cell fate

    Developing computational approaches to more efficiently identify PTMs that control cancer cell fate

Harnessing the oncogenic phospho-binding protein 14-3-3 as a biological probe to identify mechanisms of tumor cell growth and survival.

14-3-3 proteins interact dynamically with phosphorylated "client" proteins to control essentially every major cellular process. Our lab harnesses 14-3-3 as a proteomics probe to quickly identify functional phosphorylations (drilling through the noise in the phospho-proteome) that control important aspects of tumor biology. This approach has been a source of many fruitful projects in the lab, including recent publications on autophagy, kinase biology, and cell cycle regulators.

Discovering the function and regulatory mechanisms of understudied kinases.

In order for a cell to become cancerous, it must acquire (e.g., via mutation) the activity of pro-growth kinases. Yet despite the importance of kinases as therapeutic targets in cancer, over 25% of the 634 kinases in our cells are still understudied, leaving over 100 kinases untapped as potential therapeutic targets. Our recent work in this area has focused on the enigmatic ACK family (TNK1 and ACK1) of tyrosine kinases. We recently published the first mechanism of TNK1 regulation. This study described how TNK1 is regulated by phosphorylation and also interacts directly with poly-ubiquitin chains. This study also included the development of an anti-TNK1 small molecule with in vivo activity against TNK1-driven tumors. Our current efforts in this area focus on understanding the biological function/regulation of TNK1 and ACK1, and developing strategies to target these kinases in cancer patients.

Uncovering mechanisms of basal autophagy

Uncovering the mechanism of basal autophagy and its links to inflammatory signaling

Tumor cells rely on basal autophagy to rid themselves of toxic protein aggregates, defective mitochondria, and other cellular debris. However, the core mechanisms of basal autophagy are still poorly understood. Our recent work focuses on how the first steps in basal autophagy are regulated, and how disruption of these steps activates pro-inflammatory signaling—a vulnerability that we are trying to exploit to improve cancer treatment.

Developing computational approaches to more efficiently identify PTMs that control cancer cell fate

In parallel to our wet lab approaches, we are developing machine learning-based apps that consider aspects of protein structure and sequence, cancer-associated mutations, and PTM proteomics data to quickly identify functional PTMs. We have also recently integrated clinical sequencing data with PTM proteomics to identify PTM-disrupting mutations in cancer samples, which has seeded new projects in the lab.

Our app to identify 14-3-3 client phospho-binding sites was recently published. You can access the app here.