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Sökning: WFRF:(Hahn Michael) > (2005-2009) > A module-based anal...

A module-based analytical strategy to identify novel disease-associated genes shows an inhibitory role for interleukin 7 Receptor in allergic inflammation.

Mobini, Reza, 1965 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper,Institute of Clinical Sciences,Unit for Clinical Systems Biology, Department of Pediatrics, University of Gothenburg, Gothenburg, Sweden
Andersson, Bengt A., 1952 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för mikrobiologi och immunologi,Institute of Biomedicine, Department of Microbiology and Immunology,Department of Immunology, Sahlgrenska Academy, Gothenburg, Sweden
Erjefält, Jonas (författare)
Lund University,Lunds universitet,Luftvägsinflammation,Forskargrupper vid Lunds universitet,Airway Inflammation and Immunology,Lund University Research Groups,Department of Experimental Medicine, Lund University, Lund, Sweden
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Hahn-Zoric, Mirjana, 1949 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för mikrobiologi och immunologi,Institute of Biomedicine, Department of Microbiology and Immunology,Department of Immunology, Sahlgrenska Academy, Gothenburg, Sweden
Langston, Michael A (författare)
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA
Perkins, Andy D (författare)
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA
Cardell, Lars Olaf (författare)
Karolinska Institutet,Department of Oto-rhino-largyngeology, Karolinska Institute, Stockholm, Sweden
Benson, Mikael, 1954 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper,Institute of Clinical Sciences,Unit for Clinical Systems Biology, Department of Pediatrics, University of Gothenburg, Gothenburg, Sweden
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 (creator_code:org_t)
2009-02-12
2009
Engelska.
Ingår i: BMC systems biology. - : Springer Science and Business Media LLC. - 1752-0509. ; 3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • BACKGROUND: The identification of novel genes by high-throughput studies of complex diseases is complicated by the large number of potential genes. However, since disease-associated genes tend to interact, one solution is to arrange them in modules based on co-expression data and known gene interactions. The hypothesis of this study was that such a module could be a) found and validated in allergic disease and b) used to find and validate one ore more novel disease-associated genes. RESULTS: To test these hypotheses integrated analysis of a large number of gene expression microarray experiments from different forms of allergy was performed. This led to the identification of an experimentally validated reference gene that was used to construct a module of co-expressed and interacting genes. This module was validated in an independent material, by replicating the expression changes in allergen-challenged CD4+ cells. Moreover, the changes were reversed following treatment with corticosteroids. The module contained several novel disease-associated genes, of which the one with the highest number of interactions with known disease genes, IL7R, was selected for further validation. The expression levels of IL7R in allergen challenged CD4+ cells decreased following challenge but increased after treatment. This suggested an inhibitory role, which was confirmed by functional studies. CONCLUSION: We propose that a module-based analytical strategy is generally applicable to find novel genes in complex diseases.

Ämnesord

NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

Nyckelord

Adrenal Cortex Hormones
pharmacology
CD4-Positive T-Lymphocytes
metabolism
GATA3 Transcription Factor
metabolism
Gene Expression Profiling
methods
Gene Expression Regulation
drug effects
genetics
Humans
Hypersensitivity
genetics
Oligonucleotide Array Sequence Analysis
methods
Receptors
Interleukin-7
Statistics
Nonparametric

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