Title |
The Novel Functions of High-Molecular-Mass Complexes Containing Insulin Receptor Substrates in Mediation and Modulation of Insulin-Like Activities: Emerging Concept of Diverse Functions by IRS-Associated Proteins
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Published in |
Frontiers in endocrinology, May 2015
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DOI | 10.3389/fendo.2015.00073 |
Pubmed ID | |
Authors |
Fumihiko Hakuno, Toshiaki Fukushima, Yosuke Yoneyama, Hiroyasu Kamei, Atsufumi Ozoe, Hidehito Yoshihara, Daisuke Yamanaka, Takashi Shibano, Meri Sone-Yonezawa, Bu-Chin Yu, Kazuhiro Chida, Shin-Ichiro Takahashi |
Abstract |
Insulin-like peptides, such as insulin-like growth factors (IGFs) and insulin, induce a variety of bioactivities, such as growth, differentiation, survival, increased anabolism, and decreased catabolism in many cell types and in vivo. In general, IGFs or insulin bind to IGF-I receptor (IGF-IR) or insulin receptor (IR), activating the receptor tyrosine kinase. Insulin receptor substrates (IRSs) are known to be major substrates of receptor kinases, mediating IGF/insulin signals to direct bioactivities. Recently, we discovered that IRSs form high-molecular-mass complexes (referred to here as IRSomes) even without IGF/insulin stimulation. These complexes contain proteins (referred to here as IRSAPs; IRS-associated proteins), which modulate tyrosine phosphorylation of IRSs by receptor kinases, control IRS stability, and determine intracellular localization of IRSs. In addition, in these complexes, we found not only proteins that are involved in RNA metabolism but also RNAs themselves. Thus, IRSAPs possibly contribute to modulation of IGF/insulin bioactivities. Since it is established that disorder of modulation of insulin-like activities causes various age-related diseases including cancer, we could propose that the IRSome is an important target for treatment of these diseases. |
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Switzerland | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
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Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 14 | 28% |
Student > Bachelor | 6 | 12% |
Student > Ph. D. Student | 6 | 12% |
Researcher | 5 | 10% |
Other | 3 | 6% |
Other | 4 | 8% |
Unknown | 12 | 24% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 16 | 32% |
Agricultural and Biological Sciences | 14 | 28% |
Medicine and Dentistry | 3 | 6% |
Nursing and Health Professions | 1 | 2% |
Arts and Humanities | 1 | 2% |
Other | 2 | 4% |
Unknown | 13 | 26% |