The Reverse-Direction Method Links Mass Experimental Data to Human Diseases

Genome-wide analyses such as DNA microarray, RNA sequencing and RNA interference-based high-throughput screening are prevalent to decipher a biological process of interest, and provide a large quantity of data to be processed. An ultimate goal for researchers must be extrapolation of their data to h...

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Veröffentlicht in:Archivum Immunologiae et Therapiae Experimentalis 2014-02, Vol.62 (1), p.41-45
Hauptverfasser: Ogura, Hideki, Atsumi, Toru, Bando, Hidenori, Sabharwal, Lavannya, Yamada, Moe, Jiang, Jing-Jing, Nakamura, Akihiro, Arima, Yasunobu, Kamimura, Daisuke, Murakami, Masaaki
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container_title Archivum Immunologiae et Therapiae Experimentalis
container_volume 62
creator Ogura, Hideki
Atsumi, Toru
Bando, Hidenori
Sabharwal, Lavannya
Yamada, Moe
Jiang, Jing-Jing
Nakamura, Akihiro
Arima, Yasunobu
Kamimura, Daisuke
Murakami, Masaaki
description Genome-wide analyses such as DNA microarray, RNA sequencing and RNA interference-based high-throughput screening are prevalent to decipher a biological process of interest, and provide a large quantity of data to be processed. An ultimate goal for researchers must be extrapolation of their data to human diseases. We have conducted functional genome-wide screenings to elucidate molecular mechanisms of the inflammation amplifier, a NFκB/STAT3-dependent machinery that potently drives recruitment of immune cells to promote inflammation. Using a public database of genome-wide association studies (GWAS), we recently reported the reverse-direction method by which our mass screening data were successfully linked to many human diseases. As an example, the epiregulin–epidermal growth factor receptor pathway was identified as a regulator of the inflammation amplifier, and associated with human diseases by GWAS. In fact, serum epiregulin levels were higher in patients with chronic inflammatory disorders. The reverse-direction method can be a useful tool to narrow mass data down to focus on human disease-related genes.
doi_str_mv 10.1007/s00005-013-0255-9
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subjects Animals
Biomedical and Life Sciences
Biomedicine
Cell Movement
Epidermal Growth Factor - genetics
Epidermal Growth Factor - metabolism
Epiregulin
Genome-Wide Association Study
High-Throughput Screening Assays
Humans
Immune System Diseases - diagnosis
Immune System Diseases - immunology
Immunology
Inflammation Mediators - metabolism
Mass Screening - methods
Mass Screening - trends
NF-kappa B - metabolism
Pharmacology/Toxicology
Receptor, Epidermal Growth Factor - genetics
Receptor, Epidermal Growth Factor - metabolism
Review
Signal Transduction
STAT3 Transcription Factor - metabolism
Translational Medical Research
title The Reverse-Direction Method Links Mass Experimental Data to Human Diseases
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