RESUMEN
The insulin-signaling network regulates blood glucose levels, controls metabolism, and when dysregulated, may lead to the development of type 2 diabetes. Although the role of tyrosine phosphorylation in this network is clear, only a limited number of insulin-induced tyrosine phosphorylation sites have been identified. To address this issue and establish temporal response, we have, for the first time, carried out an extensive, quantitative, mass spectrometry-based analysis of tyrosine phosphorylation in response to insulin. The study was performed with 3T3-L1 adipocytes stimulated with insulin for 0, 5, 15, and 45 min. It has resulted in the identification and relative temporal quantification of 122 tyrosine phosphorylation sites on 89 proteins. Insulin treatment caused a change of at least 1.3-fold in tyrosine phosphorylation on 89 of these sites. Among the responsive sites, 20 were previously known to be tyrosine phosphorylated with insulin treatment, including sites on the insulin receptor and insulin receptor substrate-1. The remaining 69 responsive sites have not previously been shown to be altered by insulin treatment. They were on proteins with a wide variety of functions, including components of the trafficking machinery for the insulin-responsive glucose transporter GLUT4. These results show that insulin-elicited tyrosine phosphorylation is extensive and implicate a number of hitherto unrecognized proteins in insulin action.
Asunto(s)
Insulina/fisiología , Fosfotirosina/metabolismo , Transducción de Señal , Células 3T3-L1 , Adipocitos/química , Animales , Sitios de Unión , Transportador de Glucosa de Tipo 4/química , Insulina/farmacología , Proteínas Sustrato del Receptor de Insulina , Cinética , Espectrometría de Masas , Ratones , Fosfoproteínas/química , Fosforilación , Receptor de Insulina/químicaRESUMEN
Protein phosphorylation is crucial in the regulation of signaling pathways that control various biological responses. Recent progress in diverse methodologies to investigate protein phosphorylation in complex biological samples has resulted in more rapid, detailed and quantitative analyses of signaling networks. In particular, advances in mass spectrometry (MS) have enabled the identification and quantification of thousands of both known and novel phosphorylation sites. Initial MS-based information can be complemented with a variety of recently developed and improved phosphoproteomic techniques. These include multiplexed microbead or kinase activity assays, flow cytometry based single-cell analysis, protein microarrays and interaction studies. The combination of multiple approaches, coupled with phenotypic response measurements, computational modeling and biochemical manipulations, will ultimately reveal the mechanistic regulation of signaling networks.
Asunto(s)
Fosfoproteínas/metabolismo , Proteómica/métodos , Transducción de Señal/fisiología , Animales , Humanos , Espectrometría de Masas , FosforilaciónRESUMEN
The mitogen-activated protein kinase (MAPK) extracellular signal-regulated kinase 2 (ERK2) is ubiquitously expressed in mammalian tissues and is involved in a wide range of biological processes. Although MAPKs have been intensely studied, identification of their substrates remains challenging. We have optimized a chemical genetic system using analog-sensitive ERK2, a form of ERK2 engineered to use an analog of adenosine 5'-triphosphate (ATP), to tag and isolate ERK2 substrates in vitro. This approach identified 80 proteins phosphorylated by ERK2, 13 of which are known ERK2 substrates. The 80 substrates are associated with diverse cellular processes, including regulation of transcription and translation, mRNA processing, and regulation of the activity of the Rho family guanosine triphosphatases. We found that one of the newly identified substrates, ETV3 (a member of the E twenty-six family of transcriptional regulators), was extensively phosphorylated on sites within canonical and noncanonical ERK motifs. Phosphorylation of ETV3 regulated transcription by preventing its binding to DNA at promoters for several thousand genes, including some involved in negative feedback regulation of itself and of upstream signals.