Back

FAβ-gal: an automated fluorescence-based quantification of the senescence-associated beta-galactosidase X-gal assay

Tartiere, A. G.; Roiz-Valle, D.; Espanol, Y.; Freije, J. M. P.; Ugalde, A. P.

2026-03-02 cell biology
10.64898/2026.02.27.707795 bioRxiv
Show abstract

Cellular senescence plays a pivotal role in aging and cancer, two major biomedical and socioeconomic challenges of our time. Therefore, its study has become crucial for the design of interventions based on its manipulation. In this sense, researchers have developed a wide variety of highly sensitive and accurate techniques to detect and quantify cellular senescence. Among them, the most popular is the original Senescence-Associated {beta}-galactosidase (SA-{beta}-gal) colorimetric assay, based on the use of the chromogenic substrate X-gal. This compound is cleaved by {beta}-galactosidase, producing an insoluble, blue precipitate of 5,5-dibromo-4,4-dichloro-indigo (commonly referred to as indigo). While this method remains the gold standard senescence assay, its quantification remains challenging due to the color-based readout. In this work, we describe a method, which we have named FA{beta}-gal (Fluorescence Analysis of {beta}-galactosidase), that exploits the far-red fluorescence of the {beta}-gal product indigo and allows the quantification of SA-{beta}-gal activity under any conventional wide-field fluorescence microscopy using the original X-gal assay. In addition, we developed workflows and software applications that standardize SA-{beta}-gal quantification in a semiautomatic and unbiased manner. We demonstrate that FA{beta}-gal measurements present a strong linear correlation with the percentage of senescent cells and show high sensitivity. Moreover, we show that this method is also applicable to tissue sections, underscoring the versatility of our approach. Therefore, FA{beta}-gal could be easily introduced into the routine of laboratories already using the original colorimetric assay, enhancing the accuracy, sensitivity and reproducibility of senescence detection.

Matching journals

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

1
GeroScience
97 papers in training set
Top 0.1%
14.7%
2
Aging
69 papers in training set
Top 0.1%
12.8%
3
Aging Cell
144 papers in training set
Top 0.6%
10.3%
4
Scientific Reports
3102 papers in training set
Top 22%
5.0%
5
ACS Sensors
45 papers in training set
Top 0.3%
4.4%
6
PLOS ONE
4510 papers in training set
Top 33%
4.4%
50% of probability mass above
7
Sensors
39 papers in training set
Top 0.5%
3.7%
8
Nature Aging
51 papers in training set
Top 0.8%
1.9%
9
npj Aging
15 papers in training set
Top 0.5%
1.7%
10
Nature Communications
4913 papers in training set
Top 50%
1.7%
11
Advanced Biology
29 papers in training set
Top 0.3%
1.7%
12
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 5%
1.5%
13
Frontiers in Aging
10 papers in training set
Top 0.2%
1.5%
14
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
15
eLife
5422 papers in training set
Top 48%
1.3%
16
Frontiers in Medicine
113 papers in training set
Top 5%
1.3%
17
Communications Biology
886 papers in training set
Top 15%
1.1%
18
Cells
232 papers in training set
Top 4%
1.1%
19
Redox Biology
64 papers in training set
Top 0.6%
1.0%
20
Journal of Biophotonics
16 papers in training set
Top 0.5%
1.0%
21
iScience
1063 papers in training set
Top 26%
0.9%
22
Frontiers in Plant Science
240 papers in training set
Top 5%
0.9%
23
PLOS Biology
408 papers in training set
Top 19%
0.8%
24
Biosensors and Bioelectronics
52 papers in training set
Top 1%
0.8%
25
MethodsX
14 papers in training set
Top 0.4%
0.8%
26
Nucleic Acids Research
1128 papers in training set
Top 18%
0.7%
27
Biophysical Journal
545 papers in training set
Top 5%
0.7%
28
Methods in Ecology and Evolution
160 papers in training set
Top 2%
0.7%
29
Open Biology
95 papers in training set
Top 3%
0.7%
30
The FASEB Journal
175 papers in training set
Top 4%
0.7%