Evidence map›Paper›PMID 24064251›Full record

ReviewNucleic acids research2014

Steroid receptor-DNA interactions: toward a quantitative connection between energetics and transcriptional regulation.

David L Bain, Keith D Connaghan, Nasib K Maluf, Qin Yang, Michael T Miura, Rolando W De Angelis, Gregory D Degala, James R Lambert

Abstract readReview
In one paragraph

Review in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Protein-Ratio Rheostats: Integrating Stoichiometry, Abundance, and Binding Affinity in Cellular Function.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

8 authors.

David L BainDepartment of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA and Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Keith D Connaghan
Nasib K Maluf
Qin Yang
Michael T Miura
Rolando W De Angelis
Gregory D Degala
James R Lambert

Funding

Quantitative Dissection of Steroid Receptor FunctionR01DK088843 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BAIN, DAVID L · 2010 to 2014
$1.6M
NIDDK NIH HHS DK88843NIDDK NIH HHS R01 DK088843
6 · The paper itself

Abstract

Steroid receptors comprise an evolutionarily conserved family of transcription factors. Although the qualitative aspects by which individual receptors regulate transcription are well understood, a quantitative perspective is less clear. This is primarily because receptor function is considerably more complex than that of classical regulatory factors such as phage or bacterial repressors. Here we discuss recent advances in placing receptor-specific transcriptional regulation on a more quantitative footing, specifically focusing on the role of macromolecular interaction energetics. We first highlight limitations and challenges associated with traditional approaches for assessing the role of energetics (more specifically, binding affinity) with functional outcomes such as transcriptional activation. We next demonstrate how rigorous in vitro measurements and straightforward interaction models quantitatively relate energetics to transcriptional activity within the cell, and follow by discussing why such an approach is unexpectedly effective in explaining complex functional behavior. Finally, we examine the implications of these findings for considering the unique gene regulatory properties of the individual receptors.

Indexed as

Gene Expression RegulationResponse ElementsTranscription, GeneticDNAProtein BindingReceptors, SteroidDNAReceptors, Steroid

Identifiers

PMID24064251
PMCPMC3902896

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.