Evidence map›Paper›PMID 20940178›Full record

ArticleDatabase : the journal of biological databases and curation2010

EuroDia: a beta-cell gene expression resource.

Robin Liechti, Gábor Csárdi, Sven Bergmann, Frédéric Schütz, Thierry Sengstag, Sylvia F Boj, Joan-Marc Servitja, Jorge Ferrer, Leentje Van Lommel, Frans Schuit and 11 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Profiling of embryonic stem cell differentiation.The review of diabetic studies : RDS · 2014
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

21 authors.

Robin LiechtiVital-IT, SIB Swiss Institute of Bioinformatics, Genopode Building, CH-1015 Lausanne, Switzerland.
Gábor Csárdi
Sven Bergmann
Frédéric Schütz
Thierry Sengstag
Sylvia F Boj
Joan-Marc Servitja
Jorge Ferrer
Leentje Van Lommel
Frans Schuit
Sonia Klinger
Bernard Thorens
Najib Naamane
Decio L Eizirik
Lorella Marselli
Marco Bugliani
Piero Marchetti
Stephanie Lucas
Cecilia Holm
C Victor Jongeneel
Ioannis Xenarios

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a major disease affecting nearly 280 million people worldwide. Whilst the pathophysiological mechanisms leading to disease are poorly understood, dysfunction of the insulin-producing pancreatic beta-cells is key event for disease development. Monitoring the gene expression profiles of pancreatic beta-cells under several genetic or chemical perturbations has shed light on genes and pathways involved in T2DM. The EuroDia database has been established to build a unique collection of gene expression measurements performed on beta-cells of three organisms, namely human, mouse and rat. The Gene Expression Data Analysis Interface (GEDAI) has been developed to support this database. The quality of each dataset is assessed by a series of quality control procedures to detect putative hybridization outliers. The system integrates a web interface to several standard analysis functions from R/Bioconductor to identify differentially expressed genes and pathways. It also allows the combination of multiple experiments performed on different array platforms of the same technology. The design of this system enables each user to rapidly design a custom analysis pipeline and thus produce their own list of genes and pathways. Raw and normalized data can be downloaded for each experiment. The flexible engine of this database (GEDAI) is currently used to handle gene expression data from several laboratory-run projects dealing with different organisms and platforms. Database URL: http://eurodia.vital-it.ch.

Indexed as

Databases, GeneticInsulin-Secreting CellsUser-Computer InterfaceAnimalsData MiningDiabetes Mellitus, Type 2Gene Expression ProfilingHumansInformation Storage and RetrievalInternetMiceRatsSoftware

Identifiers

PMID20940178
PMCPMC2963318

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.