Evidence map›Paper›PMID 38924638›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

CRISPR/Pepper-tDeg: A Live Imaging System Enables Non-Repetitive Genomic Locus Analysis with One Single-Guide RNA.

Meng Chen, Xing Huang, Yakun Shi, Wen Wang, Zhan Huang, Yanli Tong, Xiaoyong Zou, Yuzhi Xu, Zong Dai

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

9 authors.

Meng ChenGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, 518107, China.
Xing HuangGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, 518107, China.
Yakun ShiGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, 518107, China.
Wen WangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510275, China.
Zhan HuangSchool of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China.
Yanli TongGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, 518107, China.
Xiaoyong ZouSchool of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China.
Yuzhi XuScientific Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, China.ORCID 0000-0001-6733-3721
Zong DaiGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, 518107, China.ORCID 0000-0002-3646-7396

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515012027Guangdong Science and Technology Plan Project Grant 2020B1212060077National Natural Science Foundation of China 22274169Science and Technology Program of Guangzhou City 202103000003Science and Technology Program of Guangzhou City 2023B03J1380Shenzhen Fundamental Research Program JCYJ20210324124003008Shenzhen Medical Research Fund A2303001
6 · The paper itself

Abstract

CRISPR-based genomic-imaging systems have been utilized for spatiotemporal imaging of the repetitive genomic loci in living cells, but they are still challenged by limited signal-to-noise ratio (SNR) at a non-repetitive genomic locus. Here, an efficient genomic-imaging system is proposed, termed CRISPR/Pepper-tDeg, by engineering the CRISPR sgRNA scaffolds with the degron-binding Pepper aptamers for binding fluorogenic proteins fused with Tat peptide derived degron domain (tDeg). The target-dependent stability switches of both sgRNA and fluorogenic protein allow this system to image repetitive telomeres sensitively with a 5-fold higher SNR than conventional CRISPR/MS2-MCP system using "always-on" fluorescent protein tag. Subsequently, CRISPR/Pepper-tDeg is applied to simultaneously label and track two different genomic loci, telomeres and centromeres, in living cells by combining two systems. Given a further improved SNR by the split fluorescent protein design, CRISPR/Pepper-tDeg system is extended to non-repetitive sequence imaging using only one sgRNA with two aptamer insertions. Neither complex sgRNA design nor difficult plasmid construction is required, greatly reducing the technical barriers to define spatiotemporal organization and dynamics of both repetitive and non-repetitive genomic loci in living cells, and thus demonstrating the large application potential of this genomic-imaging system in biological research, clinical diagnosis and therapy.

Indexed as

CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsClustered Regularly Interspaced Short Palindromic RepeatsGenomicsHumansTelomereRNA, Guide, CRISPR-Cas SystemsCRISPR‐Cas9fluorogenic proteingenomic loci labelinglive cell imagingnon‐repetitive sequences

Identifiers

PMID38924638
PMCPMC11348139

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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.