Evidence map›Paper›PMID 39473180›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2024

Development of artificial transcription factors and their applications in cell reprograming, genetic screen, and disease treatment.

Yetong Sang, Lingjie Xu, Zehua Bao

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

3 authors.

Yetong SangInstitute of Bioengineering & Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China.
Lingjie XuInstitute of Bioengineering & Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China.
Zehua BaoInstitute of Bioengineering & Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China; Zhejiang Key Laboratory of Smart Biomaterials, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China. Electronic address: zbao@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene dysregulations are associated with many human diseases, such as cancers and hereditary diseases. Artificial transcription factors (ATFs) are synthetic molecular tools to regulate the expression of disease-associated genes, which is of great significance in basic biological research and biomedical applications. Recent advances in the engineering of ATFs for regulating endogenous gene expression provide an expanded set of tools for understanding and treating diseases. However, the potential immunogenicity, large size, inefficient delivery, and off-target effects persist as obstacles for ATFs to be developed into therapeutics. Moreover, the activation of an endogenous gene following ATF activity lacks durability. In this review, we first describe the functional components of ATFs, including DNA-binding domains, transcriptional effector domains, and control switches. We then highlight examples of applications of ATFs, including cell reprogramming and differentiation, pathogenic gene screening, and disease treatment. Finally, we analyze and summarize major challenges for the clinical translation of ATFs and propose potential strategies to improve these useful molecular tools.

Indexed as

Cellular ReprogrammingTranscription FactorsAnimalsCell DifferentiationGene Expression RegulationGenetic TestingGenetic TherapyHumansTranscription Factorsartificial transcriptional factorcell reprogrammingdisease treatmentgenetic screentranscription regulation

Identifiers

PMID39473180
PMCPMC11638881

What OpenQuestion holds

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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.