Evidence map›Paper›PMID 26974343›Full record

ArticleeLife2016

Rhodopsin targeted transcriptional silencing by DNA-binding.

Salvatore Botta, Elena Marrocco, Nicola de Prisco, Fabiola Curion, Mario Renda, Martina Sofia, Mariangela Lupo, Annamaria Carissimo, Maria Laura Bacci, Carlo Gesualdo and 3 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 46 citations in OpenAlex.

  1. Uncovering mitochondrial defects in photoreceptors opens therapeutic opportunities for Stargardt disease.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Gene Therapy for Rhodopsin Mutations.Cold Spring Harbor perspectives in medicine · 2022
    Article
  10. CRISPR genome surgery in a novel humanized model for autosomal dominant retinitis pigmentosa.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  11. Challenging Safety and Efficacy of Retinal Gene Therapies by Retinogenesis.International journal of molecular sciences · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Progress in Gene Therapy for Rhodopsin Autosomal Dominant Retinitis Pigmentosa.Advances in experimental medicine and biology · 2019
    Review
  20. 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

13 authors at 3 institutions in 1 country.

Salvatore BottaTelethon Institute of Genetics and Medicine, Napoli, Italy.
Elena MarroccoTelethon Institute of Genetics and Medicine, Napoli, Italy.
Nicola de PriscoTelethon Institute of Genetics and Medicine, Napoli, Italy.
Fabiola CurionTelethon Institute of Genetics and Medicine, Napoli, Italy.
Mario RendaTelethon Institute of Genetics and Medicine, Napoli, Italy.
Martina SofiaTelethon Institute of Genetics and Medicine, Napoli, Italy.
Mariangela LupoTelethon Institute of Genetics and Medicine, Napoli, Italy.
Annamaria CarissimoTelethon Institute of Genetics and Medicine, Napoli, Italy.
Maria Laura BacciDepartment of Veterinary Medical Sciences, University of Bologna, Bologna, Italy.
Carlo GesualdoMultidisciplinary Department of Medical, Surgical and Dental Sciences, Eye Clinic, Second University of Naples, Naples, Italy.
Settimio RossiMultidisciplinary Department of Medical, Surgical and Dental Sciences, Eye Clinic, Second University of Naples, Naples, Italy.
Francesca SimonelliMultidisciplinary Department of Medical, Surgical and Dental Sciences, Eye Clinic, Second University of Naples, Naples, Italy.
Enrico Maria SuraceTelethon Institute of Genetics and Medicine, Napoli, Italy.ORCID http://orcid.org/0000-0002-2975-942X
Telethon Institute Of Genetics And Medicine · ITUniversity of Campania "Luigi Vanvitelli" · ITUniversity of Bologna · IT

Funding

European Research Council 311682
6 · The paper itself

Abstract

Transcription factors (TFs) operate by the combined activity of their DNA-binding domains (DBDs) and effector domains (EDs) enabling the coordination of gene expression on a genomic scale. Here we show that in vivo delivery of an engineered DNA-binding protein uncoupled from the repressor domain can produce efficient and gene-specific transcriptional silencing. To interfere with RHODOPSIN (RHO) gain-of-function mutations we engineered the ZF6-DNA-binding protein (ZF6-DB) that targets 20 base pairs (bp) of a RHOcis-regulatory element (CRE) and demonstrate Rho specific transcriptional silencing upon adeno-associated viral (AAV) vector-mediated expression in photoreceptors. The data show that the 20 bp-long genomic DNA sequence is necessary for RHO expression and that photoreceptor delivery of the corresponding cognate synthetic trans-acting factor ZF6-DB without the intrinsic transcriptional repression properties of the canonical ED blocks Rho expression with negligible genome-wide transcript perturbations. The data support DNA-binding-mediated silencing as a novel mode to treat gain-of-function mutations.

Indexed as

Gene SilencingTranscription, GeneticAdenoviridaeDNADNA-Binding ProteinsGene ExpressionGenetic VectorsProtein BindingRecombinant ProteinsRhodopsinTransduction, GeneticDNADNA-Binding ProteinsRecombinant ProteinsRhodopsinAAVgene expressiongene therapyhuman biologymedicinemouseneurodegenerationneuroscienceretinarhodopsintranscriptiontranscription factorszinc finger

Identifiers

PMID26974343
PMCPMC4805542
OpenAlexW2299697165

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.