Evidence map›Paper›PMID 23324451›Full record

ArticleBMC genomics2013

Vasohibin-1 is identified as a master-regulator of endothelial cell apoptosis using gene network analysis.

Muna Affara, Debbie Sanders, Hiromitsu Araki, Yoshinori Tamada, Benjamin J Dunmore, Sally Humphreys, Seiya Imoto, Christopher Savoie, Satoru Miyano, Satoru Kuhara and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Bayesian networks for network inference in biology.Journal of the Royal Society, Interface · 2025
    Review
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  11. [Expression of vasohibin-1 and MACC1 in lung squamous cell carcinoma and their clinicopathological significance].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2017
    Article
  12. Review
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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

13 authors at 6 institutions in 4 countries.

Muna AffaraDepartment of Obstetrics and Gynaecology, University of Cambridge, The Rosie Hospital, Robinson Way, Cambridge CB2 0SW, UK.
Debbie Sanders
Hiromitsu Araki
Yoshinori Tamada
Benjamin J Dunmore
Sally Humphreys
Seiya Imoto
Christopher Savoie
Satoru Miyano
Satoru Kuhara
David Jeffries
Cristin Print
D Stephen Charnock-Jones
University of Cambridge · GBThe University of Tokyo · JPKyushu University · JPMRC Unit the Gambia · GMRosie Hospital · GBUniversity of Auckland · NZ

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

backgroundApoptosis is a critical process in endothelial cell (EC) biology and pathology, which has been extensively studied at protein level. Numerous gene expression studies of EC apoptosis have also been performed, however few attempts have been made to use gene expression data to identify the molecular relationships and master regulators that underlie EC apoptosis. Therefore, we sought to understand these relationships by generating a Bayesian gene regulatory network (GRN) model.

resultsECs were induced to undergo apoptosis using serum withdrawal and followed over a time course in triplicate, using microarrays. When generating the GRN, this EC time course data was supplemented by a library of microarray data from EC treated with siRNAs targeting over 350 signalling molecules.The GRN model proposed Vasohibin-1 (VASH1) as one of the candidate master-regulators of EC apoptosis with numerous downstream mRNAs. To evaluate the role played by VASH1 in EC, we used siRNA to reduce the expression of VASH1. Of 10 mRNAs downstream of VASH1 in the GRN that were examined, 7 were significantly up- or down-regulated in the direction predicted by the GRN.Further supporting an important biological role of VASH1 in EC, targeted reduction of VASH1 mRNA abundance conferred resistance to serum withdrawal-induced EC death.

conclusionWe have utilised Bayesian GRN modelling to identify a novel candidate master regulator of EC apoptosis. This study demonstrates how GRN technology can complement traditional methods to hypothesise the regulatory relationships that underlie important biological processes.

Indexed as

ApoptosisBayes TheoremCell Cycle ProteinsComputational BiologyEndothelial CellsGene Knockdown TechniquesGene Regulatory NetworksHumansModels, GeneticRNA, MessengerRNA, Small InterferingCell Cycle ProteinsRNA, MessengerRNA, Small InterferingVASH1 protein, human

Identifiers

PMID23324451
PMCPMC3570387
OpenAlexW2102152918

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.