Evidence map›Paper›PMID 41889456›Full record

ReviewChemical & biomedical imaging2026

Advanced CRISPR Technologies for RNA Imaging in Live Cells.

Xiaoyu Lv, Zhixing Li, Hongzheng Zheng, Tianrui Sun, Wenjing Xie, Aijiao Yuan, Yingxu Shang, Hanyong Peng

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaoyu LvHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310013, China.
Zhixing LiHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310013, China.
Hongzheng ZhengState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Tianrui SunState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Wenjing XieState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Aijiao YuanState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Yingxu ShangState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Hanyong PengState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0001-7079-0827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA plays a pivotal role in the regulation of gene expression, and its spatiotemporal dynamics are critical for elucidating fundamental biological processes and disease mechanisms. However, traditional RNA imaging methods, such as fluorescence in situ hybridization (FISH) and the MS2-GFP system, often require cell fixation, suffer from low labeling efficiency, or interfere with native RNA functionthus limiting their ability to monitor RNA behavior in living cells. In recent years, CRISPR technology has rapidly emerged as a powerful tool for live-cell RNA imaging due to its high target specificity, signal amplification capability, and excellent compatibility with living systems. This review provides a comprehensive overview of recent advances in CRISPR-based live-cell RNA imaging, highlighting its imaging principles, technical advantages, and representative applications.

Indexed as

Cas12aCas13CRISPR technologydCas systemfluorescent proteinfluorescent RNA aptamerslive cell imagingRNA imagingRNA tracking

Identifiers

PMID41889456
PMCPMC13014326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.