Evidence map›Paper›PMID 21270389›Full record

ArticleGenetics2011

Transcriptional networks for alcohol sensitivity in Drosophila melanogaster.

Tatiana V Morozova, Trudy F C Mackay, Robert R H Anholt

Abstract read
In one paragraph

Article in Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Flying Together:International journal of molecular sciences · 2020
    Review
  7. Review
  8. Article
  9. Epigenetic Mechanisms of Alcohol Neuroadaptation: Insights fromJournal of experimental neuroscience · 2018
    Review
  10. A Fly's Eye View of Natural and Drug Reward.Frontiers in physiology · 2018
    Review
  11. Review
  12. Article
  13. Genetic architecture of natural variation in visual senescence in Drosophila.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Genetics and genomics of alcohol sensitivity.Molecular genetics and genomics : MGG · 2014
    Review
  20. 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 at 1 institution in 1 country.

Tatiana V MorozovaDepartment of Biology, North Carolina State University, Raleigh, North Carolina 27695, USA.
Trudy F C Mackay
Robert R H Anholt
W. M. Keck Foundation · US

Funding

QUANTITATIVE TRAIT LOCI IN DROSOPHILAR01GM045146 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI ANHOLT, ROBERT R. H, MACKAY, TRUDY F. · 1991 to 2012
$5.1M
NIAAA NIH HHS AA016569NIGMS NIH HHS R01 GM045146
6 · The paper itself

Abstract

Understanding the genetic architecture of polygenic traits requires investigating how complex networks of interacting molecules mediate the effect of genetic variation on organismal phenotypes. We used a combination of P-element mutagenesis and analysis of natural variation in gene expression to predict transcriptional networks that underlie alcohol sensitivity in Drosophila melanogaster. We identified 139 unique P-element mutations (124 in genes) that affect sensitivity or resistance to alcohol exposure. Further analyses of nine of the lines showed that the P-elements affected expression levels of the tagged genes, and P-element excision resulted in phenotypic reversion. The majority of the mutations were in computationally predicted genes or genes with unexpected effects on alcohol phenotypes. Therefore we sought to understand the biological relationships among 21 of these genes by leveraging genetic correlations among genetically variable transcripts in wild-derived inbred lines to predict coregulated transcriptional networks. A total of 32 "hub" genes were common to two or more networks associated with the focal genes. We used RNAi-mediated inhibition of expression of focal genes and of hub genes connected to them in the network to confirm their effects on alcohol-related phenotypes. We then expanded the computational networks using the hub genes as foci and again validated network predictions. Iteration of this approach allows a stepwise expansion of the network with simultaneous functional validation. Although coregulated transcriptional networks do not provide information about causal relationships among their constituent transcripts, they provide a framework for subsequent functional studies on the genetic basis of alcohol sensitivity.

Indexed as

Gene Regulatory NetworksAnimalsDrosophila melanogasterDrosophila ProteinsEthanolGene Expression ProfilingGene Expression RegulationGenes, InsectGenetic VariationGenome, InsectMaleMutagenesisMutationPhenotypeQuantitative Trait LociRNA InterferenceDrosophila ProteinsEthanol

Identifiers

PMID21270389
PMCPMC3070527
OpenAlexW2044364548

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.