Evidence map›Paper›PMID 38172533›Full record

ArticleCell research2024

Engineered poly(A)-surrogates for translational regulation and therapeutic biocomputation in mammalian cells.

Jiawei Shao, Shichao Li, Xinyuan Qiu, Jian Jiang, Lihang Zhang, Pengli Wang, Yaqing Si, Yuhang Wu, Minghui He, Qiqi Xiong and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Cell research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

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  13. Optogenetic Tools for Regulating RNA Metabolism and Functions.Chembiochem : a European journal of chemical biology · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 7 institutions in 2 countries.

Jiawei Shao *International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China. jiaweishao@zju.edu.cn.
Shichao Li *College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Xinyuan Qiu *Department of Biology and Chemistry, College of Science, National University of Defense Technology, Changsha, Hunan, China.ORCID 0000-0002-9662-8075
Jian Jiang *Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Lihang ZhangKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Pengli WangKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID 0000-0002-6368-0627
Yaqing SiKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Yuhang WuKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID 0000-0002-1273-1973
Minghui HeKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Qiqi XiongKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Liuqi ZhaoKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Yilin LiKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Yuxuan FanKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Mirta VivianiKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Yu FuKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Chaohua WuKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Ting GaoKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Lingyun ZhuDepartment of Biology and Chemistry, College of Science, National University of Defense Technology, Changsha, Hunan, China.
Martin FusseneggerDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058, Basel, Switzerland.
Hui WangResearch Center of Biological Computation, Zhejiang Laboratory, Hangzhou, Zhejiang, China. hui.wang@zhejianglab.com.
Mingqi XieKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. xiemingqi@westlake.edu.cn.ORCID 0000-0001-5657-532X
Westlake University · CNFudan University · CNNational University of Defense Technology · CNUniversity of Basel · CHZhejiang International Studies University · CNZhejiang Lab · CNZhejiang University · CN

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 32071429
6 · The paper itself

Abstract

Here, we present a gene regulation strategy enabling programmable control over eukaryotic translational initiation. By excising the natural poly-adenylation (poly-A) signal of target genes and replacing it with a synthetic control region harboring RNA-binding protein (RBP)-specific aptamers, cap-dependent translation is rendered exclusively dependent on synthetic translation initiation factors (STIFs) containing different RBPs engineered to conditionally associate with different eIF4F-binding proteins (eIFBPs). This modular design framework facilitates the engineering of various gene switches and intracellular sensors responding to many user-defined trigger signals of interest, demonstrating tightly controlled, rapid and reversible regulation of transgene expression in mammalian cells as well as compatibility with various clinically applicable delivery routes of in vivo gene therapy. Therapeutic efficacy was demonstrated in two animal models. To exemplify disease treatments that require on-demand drug secretion, we show that a custom-designed gene switch triggered by the FDA-approved drug grazoprevir can effectively control insulin expression and restore glucose homeostasis in diabetic mice. For diseases that require instantaneous sense-and-response treatment programs, we create highly specific sensors for various subcellularly (mis)localized protein markers (such as cancer-related fusion proteins) and show that translation-based protein sensors can be used either alone or in combination with other cell-state classification strategies to create therapeutic biocomputers driving self-sufficient elimination of tumor cells in mice. This design strategy demonstrates unprecedented flexibility for translational regulation and could form the basis for a novel class of programmable gene therapies in vivo.

Indexed as

Diabetes Mellitus, ExperimentalAnimalsCarrier ProteinsEukaryotic Initiation Factor-4FGene Expression RegulationMammalsMiceProtein Processing, Post-TranslationalCarrier ProteinsEukaryotic Initiation Factor-4F

Identifiers

PMID38172533
PMCPMC10770082
OpenAlexW4390563090

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.