Nicole V. DelRosso

ADAPT-M rapidly quantifies protein binder affinities and kinetics using microfluidics, enabling efficient selection of high-affinity variants from yeast-display libraries.

This paper identifies bifunctional transcriptional effector domains that generate gene expression pulses by switching from activation to repression based on DNA occupancy, and develops a kinetic model to program cell states.

The paper develops HT-recruit to measure transcriptional effector function across contexts and identifies context-dependent effectors for CRISPR-based transcription control.

This study quantifies direct interactions between 204 human activation domains and eight co-activators using a microfluidic platform, revealing 334 novel binding pairs and demonstrating the utility of analytical models for predicting activation.

The paper systematically maps and characterizes transcriptional effector domains in human chromatin regulators and transcription factors, identifying new activation and repression domains and their functional features.

The paper develops HT-recruit, a high-throughput assay to identify transcriptional effectors in human proteins, finding repressor function correlates with evolutionary age and discovering new activator domains.

The paper introduces AQuA, an event-based analysis tool for astrocyte imaging data, revealing novel single-cell and population-level physiological phenomena.