Evidence map›Paper›PMID 32326099›Full record

ReviewMolecules (Basel, Switzerland)2020

Tuning up Transcription Factors for Therapy.

Attila Becskei

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. 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
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. RNA activation ofMolecular therapy. Nucleic acids · 2025
    Article
  3. Hepatocyte Nuclear Factor 4 Alpha: A Key Regulator of Liver Disease Pathology and Haemostatic Disorders.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  4. Bedaquiline Delivery Innovations: A Review on Advancing MDR-TB Treatment Strategies.Recent advances in anti-infective drug discovery · 2025
    Review
  5. Article
  6. Bioactive materials forBioactive materials · 2024
    Review
  7. Article
  8. Article
  9. Transcription Factors Interplay Orchestrates the Immune-Metabolic Response ofFrontiers in cellular and infection microbiology · 2021
    Review
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

1 author at 1 institution in 1 country.

Attila BecskeiBiozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland.ORCID 0000-0002-9462-0934
University of Basel · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_185001
6 · The paper itself

Abstract

The recent developments in the delivery and design of transcription factors put their therapeutic applications within reach, exemplified by cell replacement, cancer differentiation and T-cell based cancer therapies. The success of such applications depends on the efficacy and precision in the action of transcription factors. The biophysical and genetic characterization of the paradigmatic prokaryotic repressors, LacI and TetR and the designer transcription factors, transcription activator-like effector (TALE) and CRISPR-dCas9 revealed common principles behind their efficacy, which can aid the optimization of transcriptional activators and repressors. Further studies will be required to analyze the linkage between dissociation constants and enzymatic activity, the role of phase separation and squelching in activation and repression and the long-range interaction of transcription factors with epigenetic regulators in the context of the chromosomes. Understanding these mechanisms will help to tailor natural and synthetic transcription factors to the needs of specific applications.

Indexed as

Gene Expression RegulationGenetic TherapyTranscription, GeneticAnimalsBiotechnologyClinical Trials as TopicCRISPR-Cas SystemsDNA-Binding ProteinsEndonucleasesGene Transfer TechniquesHumansProtein BindingRepressor ProteinsTranscription FactorsDNA-Binding ProteinsEndonucleasesRepressor ProteinsTranscription Factorsaggregationdead Cas9dissociation rate constanthomodimerizationLac repressorTAL-EffectorTet Repressortranscription activator-like effector

Identifiers

PMID32326099
PMCPMC7221782
OpenAlexW3009056554

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.