Starting from a blueprint of the cell, including a map of its signaling cables, we now face the monumental challenge of understanding how signals flow in these cables and deciphering cellular information transmission protocols. One particularly daunting problem is that cells often use shared pathways (the same cables) to transmit different signals, yet have an exquisite capacity to specifically interpret these signals. How cells encode information and then decode it with high fidelity to optimize the use of shared signaling channels remains largely unknown. Uncovering these strategies requires synergy between a unique multidisciplinary toolkit of technology, computational modeling, and high resolution/high throughput experimental investigations. Using Protein Kinase A (PKA), an important biological signaling hub, and our unique multidisciplinary approach, we will dissect the mechanisms by which different inputs are encoded by the PKA channel in S. cerevisiae and then decoded by downstream transcription factors and genes. We will investigate the repercussions of errors in such signal encoding and decoding schemes, and by doing so, we will be able to extract fundamental principles that cells use to circumvent their information transmission bottlenecks. Fundamentally, these investigations will provide a comprehensive and quantitative portrait of the dynamic operation of the PKA pathway as an integrated system, and a detailed synopsis of its failure modes and their connections to cellular physiology. Our experimental design will also generate a catalogue of the connectivity of PKA to the rest of the cellular chassis.

Public Health Relevance

Unraveling the quantitative dynamics of cAMP-PKA signaling in yeast PROJECT NARRATIVE Protein Kinase A (PKA) is a highly conserved pro-growth kinase regulated by the small molecule cAMP, which plays a crucial role in cellular energy homeostasis from yeast to humans. Many inputs are funneled through the PKA channel to implement diverse cellular outcomes. Here, we investigate how dynamic signal encoding and decoding allows this system to achieve accurate transmission and faithful interpretation of a broad range of environmental cues. Quantitative understanding of PKA, one of the cell?s busiest signaling hubs, is an important milestone for uncovering the spectrum of strategies that organisms use to send a large number of different signals over a constrained hardwired infrastructure and delineating their pathological failure modes.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM119033-01A1
Application #
9236710
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Resat, Haluk
Project Start
2017-02-01
Project End
2021-01-31
Budget Start
2017-02-01
Budget End
2018-01-31
Support Year
1
Fiscal Year
2017
Total Cost
$306,119
Indirect Cost
$108,619
Name
University of California San Francisco
Department
Biochemistry
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118