Understanding how proteins work together to shape bacterial traits
Using co-evolution to understand the emergence of bacterial phenotype from proteome variation
This study is looking at how proteins in bacteria work together to shape their traits, using a new method to better understand these interactions, and it's especially focused on the bacterium Pseudomonas aeruginosa, which could help us learn more about how bacteria function.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project ID | NIH-10903965 on NIH RePORTER |
What this research studies
This research investigates how the collection of proteins in bacteria interacts to influence their characteristics, known as phenotype. By developing a new statistical method called Spectral Correlation Analysis of Layered Evolutionary Signals (SCALES), the researchers aim to transform genetic information into a structured understanding of protein interactions. The study will utilize high-throughput molecular genetics and computational analysis to validate this method, focusing on the bacterium Pseudomonas aeruginosa. This approach seeks to uncover previously overlooked biological information that could enhance our understanding of bacterial functions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with infections caused by Pseudomonas aeruginosa or those interested in the underlying mechanisms of bacterial behavior.
Not a fit: Patients with infections caused by bacteria other than Pseudomonas aeruginosa may not benefit directly from this research.
Why it matters
Potential benefit: If successful, this research could lead to new insights into bacterial behavior and potentially inform the development of novel treatments for bacterial infections.
How similar studies have performed: While the approach of using statistical methods to analyze protein interactions is innovative, similar methodologies have shown promise in other biological contexts, suggesting potential for success.
Where this research is happening
Chicago, United States
- University of Chicago — Chicago, United States (Active)
Researchers
- Principal investigator: Raman, Arjun — University of Chicago
- Study coordinator: Raman, Arjun
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.