Evidence map›Paper›PMID 20463752›Full record

ArticleGene therapy2010

Quantitative fine-tuning of photoreceptor cis-regulatory elements through affinity modulation of transcription factor binding sites.

J Lee, C A Myers, N Williams, M Abdelaziz, J C Corbo

Abstract read
PubMed Publisher
In one paragraph

Article in Gene therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

29 citing papers in PubMed, 43 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

J LeeDepartment of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63110, USA.
C A Myers
N Williams
M Abdelaziz
J C Corbo
Washington University in St. Louis · US

Funding

QUANTITATIVE ANALYSIS AND ENGINEERING OF THE PHOTORECEPTOR TRANSCRIPTION NETWORKR01EY018826 · NEI · WASHINGTON UNIVERSITY · PI CORBO, JOSEPH · 2008 to 2012
$1.9M
NEI NIH HHS R01 EY018826
6 · The paper itself

Abstract

Given the remarkable recent progress in gene therapy-based treatments for retinal disease, there is an urgent need for the development of new approaches to quantitative design and analysis of photoreceptor-specific promoters. In this study, we determined the relative binding affinity of all single-nucleotide variants of the consensus binding site of the mammalian photoreceptor transcription factor, Crx. We then showed that it is possible to use these data to accurately predict the relative binding affinity of Crx for all possible 8 bp sequences. By rationally adjusting the binding affinity of three Crx sites, we were able to fine-tune the expression of the rod-specific Rhodopsin promoter over a 225-fold range in living retinas. In addition, we showed that it is possible to fine-tune the activity of the rod-specific Gnat1 promoter over ∼275-fold range by modulating the affinity of a single Crx-binding site. We found that the action of individual binding sites depends on the precise promoter context of the site and that increasing binding affinity does not always equate with increased promoter output. Despite these caveats, this tuning approach permits quantitative engineering of photoreceptor-specific cis-regulatory elements, which can be used as drivers in gene therapy vectors for the treatment of blindness.

Indexed as

Promoter Regions, GeneticAnimalsBinding SitesHomeodomain ProteinsMiceRegulatory Sequences, Nucleic AcidRetinal Rod Photoreceptor CellsRhodopsinTrans-ActivatorsTranscription Factorscone rod homeobox proteinHomeodomain ProteinsRhodopsinTrans-ActivatorsTranscription Factors

Identifiers

PMID20463752
OpenAlexW2130458525

What OpenQuestion holds

Textmetadata
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.