Evidence map›Paper›PMID 17921353›Full record

ArticleGenome research2007

An Arabidopsis gene network based on the graphical Gaussian model.

Shisong Ma, Qingqiu Gong, Hans J Bohnert

Abstract read
In one paragraph

Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 2 pooled it
–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

122 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Genome-wide identification ofFrontiers in plant science · 2023
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  9. Sparse Reduced Rank Huber Regression in High Dimensions.Journal of the American Statistical Association · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. ThePlant direct · 2022
    Article
  14. Article
  15. Probabilistic Graphical Models Applied to Biological Networks.Advances in experimental medicine and biology · 2021
    Article
  16. Article
  17. Article
  18. Gaussian and Mixed Graphical Models as (multi-)omics data analysis tools.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020
    Review
  19. Article
  20. Article

62 more citing papers are in PubMed but not listed here.

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.

Shisong MaPhysiological and Molecular Plant Biology Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Qingqiu Gong
Hans J Bohnert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a gene network for the Arabidopsis thaliana transcriptome based on a modified graphical Gaussian model (GGM). Through partial correlation (pcor), GGM infers coregulation patterns between gene pairs conditional on the behavior of other genes. Regularized GGM calculated pcor between gene pairs among approximately 2000 input genes at a time. Regularized GGM coupled with iterative random samplings of genes was expanded into a network that covered the Arabidopsis genome (22,266 genes). This resulted in a network of 18,625 interactions (edges) among 6760 genes (nodes) with high confidence and connections representing approximately 0.01% of all possible edges. When queried for selected genes, locally coherent subnetworks mainly related to metabolic functions, and stress responses emerged. Examples of networks for biochemical pathways, cell wall metabolism, and cold responses are presented. GGM displayed known coregulation pathways as subnetworks and added novel components to known edges. Finally, the network reconciled individual subnetworks in a topology joined at the whole-genome level and provided a general framework that can instruct future studies on plant metabolism and stress responses. The network model is included.

Indexed as

Gene Regulatory NetworksGenome, PlantArabidopsisGene Expression Regulation, PlantModels, GeneticNormal DistributionOligonucleotide Array Sequence Analysis

Identifiers

PMID17921353
PMCPMC2045144

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.