Evidence map›Paper›PMID 39215101›Full record

ArticleNature chemical biology2025

Engineering artificial non-coding RNAs for targeted protein degradation.

Congcong Cao, Aolin Li, Chaojie Xu, Baorui Wu, Lin Yao, Yuchen Liu

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In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

6 authors.

Congcong Cao *Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Synthetic Biology Research Center, Health Science Center, Shenzhen University, Shenzhen, China.
Aolin Li *Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Chaojie XuDepartment of Urology, Peking University First Hospital, Beijing, China.
Baorui WuDepartment of Urology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China.
Lin YaoDepartment of Urology, Peking University First Hospital, Beijing, China. poparies@163.com.ORCID 0000-0002-8256-6862
Yuchen LiuGuangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Synthetic Biology Research Center, Health Science Center, Shenzhen University, Shenzhen, China. liuyuchenmdcg@163.com.ORCID 0000-0002-6517-0022

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82273135National Natural Science Foundation of China (National Science Foundation of China) 82303113Shenzhen Science and Technology Innovation Commission JCYJ20220818102001002Shenzhen Science and Technology Innovation Commission RCJC20221008092723011
6 · The paper itself

Abstract

Targeted protein degradation has become a notable drug development strategy, but its application has been limited by the dependence on protein-based chimeras with restricted genetic manipulation capabilities. The use of long non-coding RNAs (lncRNAs) has emerged as a viable alternative, offering interactions with cellular proteins to modulate pathways and enhance degradation capabilities. Here we introduce a strategy employing artificial lncRNAs (alncRNAs) for precise targeted protein degradation. By integrating RNA aptamers and sequences from the lncRNA HOTAIR, our alncRNAs specifically target and facilitate the ubiquitination and degradation of oncogenic transcription factors and tumor-related proteins, such as c-MYC, NF-κB, ETS-1, KRAS and EGFR. These alncRNAs show potential in reducing malignant phenotypes in cells, both in vitro and in vivo, offering advantages in efficiency, adaptability and versatility. This research enhances knowledge of lncRNA-driven protein degradation and presents an effective method for targeted therapies.

Indexed as

Genetic EngineeringProteolysisRNA, Long NoncodingAnimalsAptamers, NucleotideCell Line, TumorHumansMiceUbiquitinationAptamers, NucleotideHOTAIR long untranslated RNA, humanRNA, Long Noncoding

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.