The Body-wide Transcriptome Landscape of Disease Models

Autor: Makoto Kuro-o, Ryosuke Ueda, Glicia Maria de Almeida, Kyoji Urayama, Satsuki Endo, Satoshi Kozawa, Shinji Ozaki, Fumihiko Sagawa, Kazuhiro Shiizaki, Yoshinori Yamashita, Hiroshi Kurosu, Sharif Hasan, Thomas N. Sato, Kiyokazu Nakazato
Rok vydání: 2018
Předmět:
Zdroj: iScience, Vol 2, Iss, Pp 238-268 (2018)
ISSN: 2589-0042
DOI: 10.1016/j.isci.2018.03.014
Popis: Summary: Virtually all diseases affect multiple organs. However, our knowledge of the body-wide effects remains limited. Here, we report the body-wide transcriptome landscape across 13–23 organs of mouse models of myocardial infarction, diabetes, kidney diseases, cancer, and pre-mature aging. Using such datasets, we find (1) differential gene expression in diverse organs across all models; (2) skin as a disease-sensor organ represented by disease-specific activities of putative gene-expression network; (3) a bone-skin cross talk mediated by a bone-derived hormone, FGF23, in response to dysregulated phosphate homeostasis, a known risk-factor for kidney diseases; (4) candidates for the signature activities of many more putative inter-organ cross talk for diseases; and (5) a cross-species map illustrating organ-to-organ and model-to-disease relationships between human and mouse. These findings demonstrate the usefulness and the potential of such body-wide datasets encompassing mouse models of diverse disease types as a resource in biological and medical sciences. Furthermore, the findings described herein could be exploited for designing disease diagnosis and treatment. : Gene Network; Experimental Models in Systems Biology; Transcriptomics Subject Areas: Gene Network, Experimental Models in Systems Biology, Transcriptomics
Databáze: OpenAIRE