Evidence map›Paper›PMID 36443367›Full record

ArticleNature communications2022

Gene activation guided by nascent RNA-bound transcription factors.

Ying Liang, Haiyue Xu, Tao Cheng, Yujuan Fu, Hanwei Huang, Wenchang Qian, Junyan Wang, Yuenan Zhou, Pengxu Qian, Yafei Yin and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Stochastic Modeling of Biophysical Responses to Perturbation.bioRxiv : the preprint server for biology · 2024
    Article
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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

13 authors.

Ying Liang *Department of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haiyue Xu *Department of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tao ChengWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-3056-8137
Yujuan FuDepartment of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hanwei HuangDepartment of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wenchang QianCenter of Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Junyan WangDepartment of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yuenan ZhouDepartment of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-1445-5087
Pengxu QianCenter of Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0001-5636-6704
Yafei YinDepartment of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-0171-844X
Pengfei XuWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wei ZouThe Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China. zouwei@zju.edu.cn.ORCID 0000-0003-4885-7313
Baohui ChenDepartment of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. baohuichen@zju.edu.cn.ORCID 0000-0002-8999-6531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technologies for gene activation are valuable tools for the study of gene functions and have a wide range of potential applications in bioengineering and medicine. In contrast to existing methods based on recruiting transcriptional modulators via DNA-binding proteins, we developed a strategy termed Narta (nascent RNA-guided transcriptional activation) to achieve gene activation by recruiting artificial transcription factors (aTFs) to transcription sites through nascent RNAs of the target gene. Using Narta, we demonstrate robust activation of a broad range of exogenous and endogenous genes in various cell types, including zebrafish embryos, mouse and human cells. Importantly, the activation is reversible, tunable and specific. Moreover, Narta provides better activation potency of some expressed genes than CRISPRa and, when used in combination with CRISPRa, has an enhancing effect on gene activation. Quantitative imaging illustrated that nascent RNA-directed aTFs could induce the high-density assembly of coactivators at transcription sites, which may explain the larger transcriptional burst size induced by Narta. Overall, our work expands the gene activation toolbox for biomedical research.

Indexed as

RNATranscription FactorsAnimalsDNA-Binding ProteinsHumansMiceTranscriptional ActivationZebrafishDNA-Binding ProteinsRNATranscription Factors

Identifiers

PMID36443367
PMCPMC9705438

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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.