# Dynamics and evolution of synthetic and natural gene regulatory networks

> **NIH NIH R35** · STATE UNIVERSITY NEW YORK STONY BROOK · 2024 · $108,578

## Abstract

Project Summary: Administrative Supplement to NIGMS MIRA R35GM122561
Parent project title: Dynamics and evolution of synthetic and natural gene regulatory networks
This Administrative Supplement is based on NOT-GM-24-021, “Notice of Special Interest (NOSI):
Administrative Supplements for Equipment Purchases for Select NIGMS-Funded Awards”. It is a
request for support for a “Jess” automated capillary-based western blot system by Bio-Techne, which
allows for rapid, quantitative, highly reproducible, and multiplexed detection of up to 12 protein targets
in a single sample without a need for genetical modification. These capabilities will be crucial for the
parent project, which aims to learn how perturbed gene regulatory network dynamics and
stochasticity affect single cells and thereby cell populations. To achieve this, we proposed using
synthetic gene networks to generate specific gene expression patterns in space and time that serve
as perturbation signals for natural gene networks, to study the subsequent effects on cell population
behavior and evolution by computational modeling and experimental evolution. Unlike RNAs, which
are relatively easy to quantify by sequencing, multi-protein quantification is still a challenge. Upon
synthetic biological perturbation, the Jess system will uniquely unveil native regulatory network states
at the protein level so that we can link them with cellular phenotypes. Overall, the Jess system will
provide unique capabilities to illuminate at the protein level how regulatory networks enact control
across scales of space and time in biology, from molecules to cells. This information will help us
control adapting cell populations, which is relevant for understanding, predicting and possibly
mitigating cancer and microbial drug resistance.

## Key facts

- **NIH application ID:** 11037043
- **Project number:** 3R35GM122561-09S1
- **Recipient organization:** STATE UNIVERSITY NEW YORK STONY BROOK
- **Principal Investigator:** Gabor Balazsi
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $108,578
- **Award type:** 3
- **Project period:** 2017-04-01 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11037043

## Citation

> US National Institutes of Health, RePORTER application 11037043, Dynamics and evolution of synthetic and natural gene regulatory networks (3R35GM122561-09S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/11037043. Licensed CC0.

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