Back

A safer fluorescent in situ hybridization protocol for cryosections

Chihara, A.; Mizuno, R.; Kagawa, N.; Takayama, A.; Okumura, A.; Suzuki, M.; Shibata, Y.; Mochii, M.; Ohuchi, H.; Sato, K.; Suzuki, K.-i. T.

2026-04-16 molecular biology
10.1101/2025.05.25.655994 bioRxiv
Show abstract

Fluorescent in situ hybridization (FISH) enables highly sensitive, high-resolution detection of gene transcripts. Moreover, by employing multiple probes, this technique allows for multiplexed, simultaneous detection of distinct gene expression patterns spatiotemporally, making it a valuable spatial transcriptomics approach. Owing to these advantages, FISH techniques are rapidly being adopted across diverse areas of basic biology. However, conventional protocols often rely on volatile, toxic reagents such as formalin or methanol, posing potential health risks to researchers. Here, we present a safer protocol that replaces these chemicals with low-toxicity alternatives, without compromising the high detection sensitivity of FISH. We validated this protocol using both in situ hybridization chain reaction (HCR) and signal amplification by exchange reaction (SABER)-FISH in frozen sections of various model organisms, including mouse (Mus musculus), amphibians (Xenopus laevis and Pleurodeles waltl), and medaka (Oryzias latipes). Our results demonstrate successful multiplexed detection of morphogenetic and cell-type marker genes in these model animals using this safer protocol. The protocol has the additional advantage of requiring no proteolytic enzyme treatment, thus preserving tissue integrity. Furthermore, we show that this protocol is fully compatible with EGFP immunostaining, allowing for the simultaneous detection of mRNAs and reporter proteins in transgenic animals. This protocol retains the benefits of highly sensitive, multiplexed, and multimodal detection afforded by integrating in situ HCR and SABER-FISH with immunohistochemistry, while providing a safer option for researchers, thereby offering a valuable tool for basic biology.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 13%
14.7%
2
Scientific Reports
3102 papers in training set
Top 3%
12.6%
3
Plant Methods
39 papers in training set
Top 0.1%
5.0%
4
BioTechniques
24 papers in training set
Top 0.1%
5.0%
5
Cell Reports Methods
141 papers in training set
Top 0.4%
5.0%
6
ACS Synthetic Biology
256 papers in training set
Top 0.8%
4.0%
7
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 1%
4.0%
50% of probability mass above
8
Nature Communications
4913 papers in training set
Top 38%
3.7%
9
BMC Genomics
328 papers in training set
Top 1%
2.4%
10
Laboratory Investigation
13 papers in training set
Top 0.1%
2.4%
11
Analytical Chemistry
205 papers in training set
Top 1%
2.1%
12
BMC Biology
248 papers in training set
Top 0.6%
2.1%
13
BMC Methods
11 papers in training set
Top 0.1%
1.7%
14
Nucleic Acids Research
1128 papers in training set
Top 12%
1.5%
15
eLife
5422 papers in training set
Top 46%
1.4%
16
Biomolecules
95 papers in training set
Top 0.9%
1.3%
17
Talanta
12 papers in training set
Top 0.5%
1.1%
18
Biology
43 papers in training set
Top 2%
0.9%
19
Neurophotonics
37 papers in training set
Top 0.5%
0.9%
20
MethodsX
14 papers in training set
Top 0.4%
0.8%
21
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.8%
22
Heliyon
146 papers in training set
Top 6%
0.8%
23
Communications Biology
886 papers in training set
Top 23%
0.8%
24
Biology Open
130 papers in training set
Top 3%
0.8%
25
STAR Protocols
15 papers in training set
Top 0.2%
0.7%
26
Development, Growth & Differentiation
12 papers in training set
Top 0.2%
0.7%
27
Current Protocols
13 papers in training set
Top 0.3%
0.7%
28
International Journal of Molecular Sciences
453 papers in training set
Top 17%
0.7%
29
Journal of Microbiological Methods
11 papers in training set
Top 0.6%
0.7%
30
Molecular Ecology Resources
161 papers in training set
Top 1%
0.7%