Evidence map›Paper›PMID 23665880›Full record

ArticleG3 (Bethesda, Md.)2013

Spatial profiling of nuclear receptor transcription patterns over the course of Drosophila development.

Ronit Wilk, Jack Hu, Henry M Krause

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. First characterization of the nuclear receptor superfamily in the Mediterranean musselPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Shifting roles ofDevelopment (Cambridge, England) · 2019
    Article
  7. Frontiers in genetics · 2019
    Review
  8. Article
  9. 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

3 authors.

Ronit WilkDepartment of Molecular Genetics, The Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.
Jack Hu
Henry M Krause

Funding

Canadian Institutes of Health Research RFN 81359Canadian Institutes of Health Research RFN 86597
6 · The paper itself

Abstract

Previous work has shown that many of the 18 family members of Drosophila nuclear receptor transcription factors function in a temporal hierarchy to coordinate developmental progression and growth with the rate limiting process of metabolism. To gain further insight into these interactions and processes, we have undertaken a whole-family analysis of nuclear receptor mRNA spatial expression patterns over the entire process of embryogenesis, as well as the 3rd instar wandering larva stage, by using high-resolution fluorescence in situ hybridization. Overall, the patterns of expression are remarkably consistent with previously mapped spatial activity profiles documented during the same time points, with similar hot spots and temporal profiles in endocrine and metabolically important tissues. Among the more remarkable of the findings is that the majority of mRNA expression patterns observed show striking subcellular distributions, indicating potentially critical roles in the control of protein synthesis and subsequent subcellular distributions. These patterns will serve as a useful reference for future studies on the tissue-specific roles and interactions of nuclear receptor proteins, partners, cofactors and ligands.

Indexed as

Drosophila melanogasterTranscription, GeneticAnimalsCell NucleusGene Expression Regulation, DevelopmentalIn Situ Hybridization, FluorescenceOrgan SpecificityReceptors, Cytoplasmic and NuclearTranscription FactorsReceptors, Cytoplasmic and NuclearTranscription FactorsdevelopmentDrosophilaexpressionnuclear receptorsubcellular

Identifiers

PMID23665880
PMCPMC3704245

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.