Evidence map›Paper›PMID 16784547›Full record

ArticleGenome biology2006

Systems analysis of circadian time-dependent neuronal epidermal growth factor receptor signaling.

Daniel E Zak, Haiping Hao, Rajanikanth Vadigepalli, Gregory M Miller, Babatunde A Ogunnaike, James S Schwaber

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2006. 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 34% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Central role of the EGF receptor in neurometabolic aging.International journal of endocrinology · 2012
    Article
  4. 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

6 authors at 2 institutions in 1 country.

Daniel E ZakDaniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology, Thomas Jefferson University, Locust St, Philadelphia, PA 19107, USA.
Haiping Hao
Rajanikanth Vadigepalli
Gregory M Miller
Babatunde A Ogunnaike
James S Schwaber
Thomas Jefferson University · USUniversity of Delaware · US

Funding

STATISTICS--ANALYSIS OF NOISE IN DNA MICROARRAY DATAP20GM067266 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES · 2002 to 2004
$1.2M
NIGMS NIH HHS 1 P20 GM67266-03NIGMS NIH HHS P20 GM067266
6 · The paper itself

Abstract

backgroundIdentifying the gene regulatory networks governing physiological signal integration remains an important challenge in circadian biology. Epidermal growth factor receptor (EGFR) has been implicated in circadian function and is expressed in the suprachiasmatic nuclei (SCN), the core circadian pacemaker. The transcription networks downstream of EGFR in the SCN are unknown but, by analogy to other SCN inputs, we expect the response to EGFR activation to depend on circadian timing.

resultsWe have undertaken a systems-level analysis of EGFR circadian time-dependent signaling in the SCN. We collected gene-expression profiles to study how the SCN response to EGFR activation depends on circadian timing. Mixed-model analysis of variance (ANOVA) was employed to identify genes with circadian time-dependent EGFR regulation. The expression data were integrated with transcription-factor binding predictions through gene group enrichment analyses to generate robust hypotheses about transcription-factors responsible for the circadian phase-dependent EGFR responses.

conclusionThe analysis results suggest that the transcriptional response to EGFR signaling in the SCN may be partly mediated by established transcription-factors regulated via EGFR transcription-factors (AP1, Ets1, C/EBP), transcription-factors involved in circadian clock entrainment (CREB), and by core clock transcription-factors (Ror alpha). Quantitative real-time PCR measurements of several transcription-factor expression levels support a model in which circadian time-dependent EGFR responses are partly achieved by circadian regulation of upstream signaling components. Our study suggests an important role for EGFR signaling in SCN function and provides an example for gaining physiological insights through systems-level analysis.

Indexed as

Circadian RhythmGene Expression RegulationSignal TransductionAnimalsBinding SitesErbB ReceptorsModels, BiologicalNeuronsOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRatsRats, Sprague-DawleySuprachiasmatic NucleusTranscription FactorsErbB ReceptorsTranscription Factors

Identifiers

PMID16784547
PMCPMC1779538
OpenAlexW2110340016

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.