Evidence map›Paper›PMID 10570170›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1999

A general strategy to enhance the potency of chimeric transcriptional activators.

S Natesan, E Molinari, V M Rivera, R J Rickles, M Gilman

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Reverse engineering gene networks: integrating genetic perturbations with dynamical modeling.Proceedings of the National Academy of Sciences of the United States of America · 2003
    Article
  3. Article
  4. 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

5 authors.

S NatesanARIAD Gene Therapeutics Incorporated, 26 Landsdowne Street, Cambridge, MA 02139, USA. natesans@ariad.com
E Molinari
V M Rivera
R J Rickles
M Gilman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts to increase the potency of transcriptional activators are generally unsuccessful because poor expression of activators in mammalian cells limits their delivery to target promoters. Here we report that the effectiveness of chimeric activators can be dramatically improved by expressing them as noncovalent tetrameric bundles. Bundled activation domains are much more effective at activating a reporter gene than simple monomeric activators, presumably because, at similar expression levels, up to 4 times as many the activation domains are delivered to the target promoter. These bundled activation domains are also more effective than proteins in which activation domains are tandemly reiterated in the same polypeptide chain, because such proteins are very poorly expressed and therefore not delivered effectively. These observations suggest that there is a threshold number of activation domains that must be bound to a promoter for activation, above which promoter activity is simply a function of the number of activators bound. We show that bundling can be exploited practically to enhance the sensitivity of mammalian two-hybrid assays, enabling detection of weak interactions or those between poorly expressed proteins. Bundling also dramatically improves the performance of a small-molecule-regulated gene expression system when the expression level of regulatory protein is limiting, a situation that may be encountered in gene therapy applications.

Indexed as

Binding SitesCloning, MolecularHerpes Simplex Virus Protein Vmw65HumansImmunophilinsNF-kappa BRecombinant Fusion ProteinsTacrolimus Binding ProteinsTrans-ActivatorsTumor Cells, CulturedHerpes Simplex Virus Protein Vmw65ImmunophilinsNF-kappa BRecombinant Fusion ProteinsTacrolimus Binding ProteinsTrans-Activators

Identifiers

PMID10570170
PMCPMC24162
OpenAlexW2077653928

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.