Evidence map›Paper›PMID 20351279›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

A theoretical framework for gene induction and experimental comparisons.

Karen M Ong, John A Blackford, Benjamin L Kagan, S Stoney Simons, Carson C Chow

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.4field-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

36 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Anticipating response function in gene regulatory networks.Journal of the Royal Society, Interface · 2021
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  8. Structural conditions on complex networks for the Michaelis-Menten input-output response.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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.

Karen M OngLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
John A Blackford
Benjamin L Kagan
S Stoney Simons
Carson C Chow
National Institute of Diabetes and Digestive and Kidney Diseases · US

Funding

Modeling and data analysis of obesity, insulin resistance, and diabetesZIADK013022 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHOW, CARSON · 2009 to 2025
$2.8M
Modulation of parameters of glucocorticoid receptor-mediated gene inductionZIADK057800 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SIMONS, S STONEY · 2009 to 2015
$2.6M
Mechanisms for glucocorticoid vs. progesterone receptor-specific gene regulationZIADK047041 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SIMONS, S STONEY · 2009 to 2014
$1.3M
Intramural NIH HHS
6 · The paper itself

Abstract

Ligand-mediated gene induction by steroid receptors is a multistep process characterized by a dose-response curve for gene product that follows a first-order Hill equation. This behavior has classically been explained by steroid binding to receptor being the rate-limiting step. However, this predicts a constant potency of gene induction (EC(50)) for a given receptor-steroid complex, which is challenged by the findings that various cofactors/reagents can alter this parameter in a gene-specific manner. These properties put strong constraints on the mechanisms of gene induction and raise two questions: How can a first-order Hill dose-response curve (FHDC) arise from a multistep reaction sequence, and how do cofactors modify potency? Here we introduce a theoretical framework in which a sequence of steps yields an FHDC for the final product as a function of the initial agonist concentration. An exact determination of all constants is not required to describe the final FHDC. The theory predicts mechanisms for cofactor/reagent effects on gene-induction potency and maximal activity and it assigns a relative order to cofactors in the sequence of steps. The theory is supported by several observations from glucocorticoid receptor-mediated gene induction. It identifies the mechanism and matches the measured dose-response curves for different concentrations of the combination of cofactor Ubc9 and receptor. It also predicts that an FHDC cannot involve the DNA binding of preformed receptor dimers, which is validated experimentally. The theory is general and can be applied to any biochemical reaction that shows an FHDC.

Indexed as

AlgorithmsAnimalsBiologyCell LineDimerizationDose-Response Relationship, DrugGene ExpressionHumansKineticsLigandsModels, BiologicalModels, ChemicalModels, StatisticalReceptors, GlucocorticoidSteroidsLigandsReceptors, GlucocorticoidSteroids

Identifiers

PMID20351279
PMCPMC2872427
OpenAlexW2092278350

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.