Direct Quantification of Protein–Protein Interactions in Living Bacterial Cells

Quantitative measurement of protein-protein interactions (PPIs) within living cells is vital for understanding their cellular functions at the molecular level and for applications in synthetic biology, protein engineering, and drug discovery. Although several techniques have been developed to measure PPI strength in vitro, direct measurement of PPI strength within living bacterial cells remains challenging. Here, a method for quantitatively measuring PPIs by determining the dissociation constant (K<sub>d</sub>) in living E. coli using fluorescence resonance energy transfer (FRET), a technique termed KD-FRET, is reported. It is found that the direct excitation of the acceptor fluorophore among spectral crosstalks primarily results in non-interacting pairs exhibiting an apparent K<sub>d</sub>, leading to false-positive signals. KD-FRET proves highly effective in quantifying various PPI K<sub>d</sub> values, including both heterologous and homologous pairs. Moreover, KD-FRET enables the quantification of K<sub>d</sub> for interaction pairs that are unmeasurable in vitro owing to their instability under standard buffer conditions. KD-FRET is successfully applied in the development of a novel synthetic biology tool to enhance naringenin production in E. coli and lycopene production in S. cerevisiae by precisely engineering metabolic pathway. These results demonstrate the potential of KD-FRET as a powerful tool for studying PPIs in their native cellular environments.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-03-24
DOI
https://doi.org/10.1002/advs.202414777
Citations
2
Primary Topic
Photosynthetic Processes and Mechanisms
Type
article
Field-Weighted Citation Impact
1.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Direct Quantification of Protein–Protein Interactions in Living Bacterial Cells

Sora Yang, Jeong Seok Ji, Soojung Yi, Ji‐Sook Hahn et al.
2 citations
Advanced Science
Photosynthetic Processes and Mechanisms
1.61
article

Direct Quantification of Protein–Protein Interactions in Living Bacterial Cells

Sora Yang, Jeong Seok Ji, Soojung Yi, Ji‐Sook Hahn, Se‐Young Son, Yeo Joon Yoon, Nam Ki Lee, Da‐Woon Bae, Sun‐Shin Cha, Eunji Kim, Hyung Ho Lee, Gyeongmin Kim, Bo‐Gyeong Jeong
article en
2 citations

Abstract

Quantitative measurement of protein-protein interactions (PPIs) within living cells is vital for understanding their cellular functions at the molecular level and for applications in synthetic biology, protein engineering, and drug discovery. Although several techniques have been developed to measure PPI strength in vitro, direct measurement of PPI strength within living bacterial cells remains challenging. Here, a method for quantitatively measuring PPIs by determining the dissociation constant (K<sub>d</sub>) in living E. coli using fluorescence resonance energy transfer (FRET), a technique termed KD-FRET, is reported. It is found that the direct excitation of the acceptor fluorophore among spectral crosstalks primarily results in non-interacting pairs exhibiting an apparent K<sub>d</sub>, leading to false-positive signals. KD-FRET proves highly effective in quantifying various PPI K<sub>d</sub> values, including both heterologous and homologous pairs. Moreover, KD-FRET enables the quantification of K<sub>d</sub> for interaction pairs that are unmeasurable in vitro owing to their instability under standard buffer conditions. KD-FRET is successfully applied in the development of a novel synthetic biology tool to enhance naringenin production in E. coli and lycopene production in S. cerevisiae by precisely engineering metabolic pathway. These results demonstrate the potential of KD-FRET as a powerful tool for studying PPIs in their native cellular environments.

Advanced ScienceVol. 12(19)
Ewha Womans University (KR), Seoul National University (KR)
Affordable and clean energy
Openalex Percentile: Top 18%
Photosynthetic Processes and Mechanisms
1.61
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.