Back

Topology-dependent FRET efficiency in living cells via N-C swapping of fluorescent protein fusions

Tanida, T.; Gofur, M. R.; Nakajima, T.

2026-06-06 biophysics
10.64898/2026.06.03.729767 bioRxiv
Show abstract

Forster resonance energy transfer (FRET) is a physicochemical phenomenon involving non-radiative energy transfer between donor and acceptor fluorophores. While FRET efficiency primarily depends on the proximity between fluorophores, additional factors also substantially influence the efficiency in living cells. However, how non-distance factors modulate live-cell FRET efficiency remains poorly understood. Here, we report the significant role of N- and C-terminal topology in determining live-cell FRET efficiency, independent of fluorophore proximity, donor variants, and subcellular compartment. Using acceptor photobleaching and sensitized emission measurements in living cells, we found that FRET efficiencies of mCherry-EGFP or mCherry-EYFP (acceptor-donor) were significantly higher than those of EGFP-mCherry or EYFP-mCherry (donor-acceptor), respectively. These efficiencies were comparable between the nucleus and cytoplasm. An orientation index analysis showed that the acceptor-donor configuration is more favorable than the donor-acceptor configuration regardless of donor variants and subcellular localization. FRET efficiencies were also higher with EYFP than with EGFP as the donor. AlphaFold2-based structural modeling suggested similar proximity with structurally heterogeneous and loosely constrained geometry of donor and acceptor fluorophores. Collectively, these results demonstrate that topological arrangement, rather than simple distance considerations, plays a significant role in FRET efficiency in living cells, providing molecular implications for the design of intramolecular FRET-based biosensors.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Biophysical Journal
631 papers in training set
Top 0.4%
18.4%
2
Protein Science
246 papers in training set
Top 0.3%
9.7%
3
Biochemistry
148 papers in training set
Top 0.2%
7.8%
4
The Journal of Physical Chemistry B
167 papers in training set
Top 0.4%
5.4%
5
JACS Au
43 papers in training set
Top 0.1%
5.4%
6
Biophysical Reports
37 papers in training set
Top 0.1%
4.0%
50% of probability mass above
7
The Journal of Physical Chemistry Letters
63 papers in training set
Top 0.2%
4.0%
8
Scientific Reports
3612 papers in training set
Top 29%
3.5%
9
ACS Omega
105 papers in training set
Top 0.6%
3.2%
10
ACS Sensors
49 papers in training set
Top 0.3%
3.1%
11
Proteins: Structure, Function, and Bioinformatics
88 papers in training set
Top 0.4%
2.8%
12
Journal of Biological Chemistry
690 papers in training set
Top 4%
2.6%
13
Biophysics and Physicobiology
11 papers in training set
Top 0.1%
2.6%
14
Communications Biology
993 papers in training set
Top 8%
2.4%
15
International Journal of Biological Macromolecules
76 papers in training set
Top 0.8%
1.9%
16
eLife
5828 papers in training set
Top 50%
1.7%
17
PLOS ONE
5266 papers in training set
Top 55%
1.1%
18
Biochemical Journal
91 papers in training set
Top 1%
1.1%
19
Chemical Communications
25 papers in training set
Top 0.4%
1.0%
20
Nature Communications
5641 papers in training set
Top 54%
1.0%
21
ChemBioChem
55 papers in training set
Top 1%
0.9%
22
Physical Biology
46 papers in training set
Top 0.8%
0.9%
23
ACS Chemical Biology
167 papers in training set
Top 3%
0.8%
24
Nano Letters
71 papers in training set
Top 1%
0.8%
25
Biochemical and Biophysical Research Communications
84 papers in training set
Top 3%
0.6%
26
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 45%
0.6%
27
The FEBS Journal
93 papers in training set
Top 2%
0.6%
28
FEBS Letters
47 papers in training set
Top 0.9%
0.6%