Back

Time-resolved fluorescent proteins towards fluorescence microscopy in the temporal and spectral domains

Tan, Z.; Hsiung, C.-H.; Feng, J.; Zhang, Y.; chen, J.; Sun, K.; Lu, P.; Zang, J.; Yang, W.; Gao, Y.; Yin, J.; Zhu, T.; Ye, Y.; Wan, Y.; Zhang, X.

2024-12-20 biochemistry
10.1101/2024.12.16.628778 bioRxiv
Show abstract

Fluorescence microscopy has been widely applied in life sciences. While steady-state fluorescence intensity is mostly used, the time-resolved detection mode relying on fluorescence lifetime remains underexplored. Herein, we present a family of time-resolved fluorescent proteins (TRFP). Using a strategy that regulates lifetime without affecting spectra of FPs, we have developed different TRFPs that cover the visible spectrum and a wide range of lifetime. TRFPs are employed in the temporal-spectral resolved microscopy, allowing the simultaneous imaging of 9 different proteins in live cells and correlation of multiple activities to cell cycles. Finally, TRFPs are integrated into multiplexing super-resolution microscopy to concurrently visualize 4 proteins in live cells, acquiring a remarkable 50 nm spatial resolution using lifetime as signal. TRFPs represent a transformative toolset towards fluorescence microscopy in both the temporal and spectral domains. Beyond the multiplexing imaging, TRFPs could introduce unprecedented opportunities of system complexity and quantitative accuracy into biological research.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 17%
11.0%
Similar papers in this journal
2
Angewandte Chemie International Edition
○ 93 papers in training set
Top 0.1%
7.9%
Similar papers in this journal
3
Journal of the American Chemical Society
● 217 papers in training set
Top 0.5%
7.3%
Similar papers in this journal
4
eLife
● 5828 papers in training set
Top 17%
6.7%
Similar papers in this journal
5
Communications Biology
○ 993 papers in training set
Top 2%
4.8%
Similar papers in this journal
6
Cell Reports Methods
○ 165 papers in training set
Top 0.6%
3.2%
7
Nature Methods
○ 385 papers in training set
Top 3%
3.2%
8
ACS Chemical Biology
● 167 papers in training set
Top 0.9%
3.2%
9
JACS Au
● 43 papers in training set
Top 0.2%
2.8%
50% of probability mass above
10
Advanced Science
○ 286 papers in training set
Top 3%
2.7%
11
Protein Science
○ 246 papers in training set
Top 2%
2.4%
12
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 23%
2.1%
13
Cell Chemical Biology
○ 94 papers in training set
Top 0.6%
2.1%
14
Science Advances
● 1243 papers in training set
Top 18%
2.0%
15
Analytical Chemistry
● 218 papers in training set
Top 1%
1.9%
16
Science China Life Sciences
○ 29 papers in training set
Top 0.2%
1.7%
17
Optica
● 27 papers in training set
Top 0.2%
1.4%
18
ACS Nano
● 113 papers in training set
Top 1%
1.3%
19
Nucleic Acids Research
◐ 1281 papers in training set
Top 10%
1.3%
20
Plant Biotechnology Journal
○ 64 papers in training set
Top 0.9%
1.1%
21
ChemBioChem
○ 55 papers in training set
Top 1.0%
1.0%
22
ACS Synthetic Biology
● 287 papers in training set
Top 2%
1.0%
23
iScience
○ 1154 papers in training set
Top 31%
1.0%
24
Nano Letters
● 71 papers in training set
Top 1%
1.0%
25
ACS Sensors
● 49 papers in training set
Top 0.7%
0.9%
26
Journal of Biological Chemistry
○ 690 papers in training set
Top 9%
0.8%
27
Plant Communications
○ 36 papers in training set
Top 0.9%
0.8%
28
Chemical Science
● 73 papers in training set
Top 2%
0.8%
29
Journal of Cell Biology
● 392 papers in training set
Top 4%
0.8%
30
npj Imaging
○ 12 papers in training set
Top 0.2%
0.8%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.