Back

High performance genetically-encoded green fluorescent biosensors for intracellular L-lactate

Le, G. N. T.; Hario, S.; Takahashi-Yamashiro, K.; Li, S.; Drobizhev, M.; Nasu, Y.; Campbell, R. E.

2022-10-20 bioengineering
10.1101/2022.10.19.512892 bioRxiv
Show abstract

L-Lactate is a monocarboxylate produced during the process of cellular glycolysis and has long been generally considered a waste product. However, studies in recent decades have provided new perspectives on the physiological roles of L-lactate as a major energy substrate and a signaling molecule. To enable further investigations of the physiological roles of L-lactate, we have developed a series of high-performance ({Delta}F/F = 15 to 30 in vitro), intensiometric, genetically-encoded green fluorescent protein (GFP)-based intracellular L-lactate biosensors with a range of affinities. We evaluated the performance of these biosensors by in vitro and live-cell characterization and demonstrated the utility with imaging applications in several cell lines.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 6%
22.5%
Similar papers in this journal
2
ACS Sensors
● 49 papers in training set
Top 0.1%
15.2%
Similar papers in this journal
3
Science Advances
● 1243 papers in training set
Top 4%
5.6%
Similar papers in this journal
4
ACS Synthetic Biology
● 287 papers in training set
Top 0.7%
5.2%
Similar papers in this journal
5
Nature Chemical Biology
○ 119 papers in training set
Top 0.5%
4.9%
Similar papers in this journal
50% of probability mass above
6
Communications Biology
○ 993 papers in training set
Top 3%
4.1%
7
ACS Central Science
● 71 papers in training set
Top 0.2%
4.1%
8
Cell Chemical Biology
○ 94 papers in training set
Top 0.3%
3.3%
9
ACS Chemical Biology
● 167 papers in training set
Top 0.8%
3.2%
10
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 16%
3.2%
11
Journal of the American Chemical Society
● 217 papers in training set
Top 1%
2.8%
12
Angewandte Chemie International Edition
○ 93 papers in training set
Top 0.7%
2.1%
13
Advanced Science
○ 286 papers in training set
Top 4%
2.1%
14
eLife
● 5828 papers in training set
Top 50%
1.7%
15
Scientific Reports
○ 3612 papers in training set
Top 53%
1.7%
16
Protein Science
○ 246 papers in training set
Top 2%
1.5%
17
Nature Chemistry
○ 42 papers in training set
Top 0.7%
1.1%
18
Analytical Chemistry
● 218 papers in training set
Top 2%
1.1%
19
Biosensors and Bioelectronics
○ 57 papers in training set
Top 0.7%
0.9%
20
Nucleic Acids Research
◐ 1281 papers in training set
Top 13%
0.8%
21
Cell Reports
○ 1498 papers in training set
Top 29%
0.6%
22
iScience
○ 1154 papers in training set
Top 40%
0.6%

"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.