GROQ-seq Platform Expansion: Design of growth-coupled measurements of Dihydrofolate Reductase in vivo Biochemistry

This proposal details the development of a high-throughput, growth-based assay for measuring enzyme kinetics of Escherichia coli dihydrofolate reductase (DHFR) in vivo using the GROQ-seq platform. By linking DHFR activity and abundance to growth through engineered gene circuits, the system enables inference of catalytic parameters—kcat, Km, and enzyme abundance—from growth rate data. It includes both abundance and function selection modules, using antibiotic resistance fusions and substrate titration strategies, respectively. This approach allows disambiguation of mutational effects on enzyme kinetics and stability, overcoming limitations of traditional fitness-based assays. The work captures data from single, double, and multimutant DHFR variants and provides a scalable framework for extending in vivo biochemistry to other essential, growth-linked enzymes. This effort is a step toward comprehensive sequence–function mapping for enzymes, supporting applications in evolutionary biology, enzyme engineering, and disease variant interpretation.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15277418
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GROQ-seq Platform Expansion: Design of growth-coupled measurements of Dihydrofolate Reductase in vivo Biochemistry

Zenodo (CERN European Organization for Nuclear Research)
Microbial Metabolic Engineering and Bioproduction
article

GROQ-seq Platform Expansion: Design of growth-coupled measurements of Dihydrofolate Reductase in vivo Biochemistry

article en

Abstract

This proposal details the development of a high-throughput, growth-based assay for measuring enzyme kinetics of Escherichia coli dihydrofolate reductase (DHFR) in vivo using the GROQ-seq platform. By linking DHFR activity and abundance to growth through engineered gene circuits, the system enables inference of catalytic parameters—kcat, Km, and enzyme abundance—from growth rate data. It includes both abundance and function selection modules, using antibiotic resistance fusions and substrate titration strategies, respectively. This approach allows disambiguation of mutational effects on enzyme kinetics and stability, overcoming limitations of traditional fitness-based assays. The work captures data from single, double, and multimutant DHFR variants and provides a scalable framework for extending in vivo biochemistry to other essential, growth-linked enzymes. This effort is a step toward comprehensive sequence–function mapping for enzymes, supporting applications in evolutionary biology, enzyme engineering, and disease variant interpretation.

Zenodo (CERN European Organization for Nuclear Research)
Align Technology (United States) (US), The University of Texas Southwestern Medical Center (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Microbial Metabolic Engineering and Bioproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

GROQ-seq Platform Expansion: Design of growth-coupled measurements of Dihydrofolate Reductase in vivo Biochemistry · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS