Evidence map›Paper›PMID 21304579›Full record

ArticlePLoS computational biology2011

Using transcription modules to identify expression clusters perturbed in Williams-Beuren syndrome.

Charlotte N Henrichsen, Gábor Csárdi, Marie-Thérèse Zabot, Carmela Fusco, Sven Bergmann, Giuseppe Merla, Alexandre Reymond

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Novel CDKL5 targets identified in human iPSC-derived neurons.Cellular and molecular life sciences : CMLS · 2024
    Article
  4. Article
  5. Individual differences in social homeostasis.Frontiers in behavioral neuroscience · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Integrative network analysis reveals biological pathways associated with Williams syndrome.Journal of child psychology and psychiatry, and allied disciplines · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

7 authors at 5 institutions in 3 countries.

Charlotte N HenrichsenThe Center for Integrative Genomics, Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland.
Gábor Csárdi
Marie-Thérèse Zabot
Carmela Fusco
Sven Bergmann
Giuseppe Merla
Alexandre Reymond
University of Lausanne · CHCasa Sollievo della Sofferenza · ITHospices Civils de Lyon · FRIstituti di Ricovero e Cura a Carattere Scientifico · ITSIB Swiss Institute of Bioinformatics · CH

Funding

Telethon GGP06122
6 · The paper itself

Abstract

The genetic dissection of the phenotypes associated with Williams-Beuren Syndrome (WBS) is advancing thanks to the study of individuals carrying typical or atypical structural rearrangements, as well as in vitro and animal studies. However, little is known about the global dysregulations caused by the WBS deletion. We profiled the transcriptomes of skin fibroblasts from WBS patients and compared them to matched controls. We identified 868 differentially expressed genes that were significantly enriched in extracellular matrix genes, major histocompatibility complex (MHC) genes, as well as genes in which the products localize to the postsynaptic membrane. We then used public expression datasets from human fibroblasts to establish transcription modules, sets of genes coexpressed in this cell type. We identified those sets in which the average gene expression was altered in WBS samples. Dysregulated modules are often interconnected and share multiple common genes, suggesting that intricate regulatory networks connected by a few central genes are disturbed in WBS. This modular approach increases the power to identify pathways dysregulated in WBS patients, thus providing a testable set of additional candidates for genes and their interactions that modulate the WBS phenotypes.

Indexed as

Multigene FamilyTranscription, GeneticCase-Control StudiesCell LineGene Expression ProfilingHumansWilliams Syndrome

Identifiers

PMID21304579
PMCPMC3024257
OpenAlexW2027211272

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.