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Multi-dimensional Transcriptional Remodeling by Physiological Insulin In Vivo

  • Thiago M. Batista
  • , Ruben Garcia-Martin
  • , Weikang Cai
  • , Masahiro Konishi
  • , Brian T. O'Neill
  • , Masaji Sakaguchi
  • , Jong Hun Kim
  • , Dae Young Jung
  • , Jason K. Kim
  • , C. Ronald Kahn

Producción científica: Articlerevisión exhaustiva

65 Citas (Scopus)

Resumen

Regulation of gene expression is an important aspect of insulin action but in vivo is intertwined with changing levels of glucose and counter-regulatory hormones. Here we demonstrate that under euglycemic clamp conditions, physiological levels of insulin regulate interrelated networks of more than 1,000 transcripts in muscle and liver. These include expected pathways related to glucose and lipid utilization, mitochondrial function, and autophagy, as well as unexpected pathways, such as chromatin remodeling, mRNA splicing, and Notch signaling. These acutely regulated pathways extend beyond those dysregulated in mice with chronic insulin deficiency or insulin resistance and involve a broad network of transcription factors. More than 150 non-coding RNAs were regulated by insulin, many of which also responded to fasting and refeeding. Pathway analysis and RNAi knockdown revealed a role for lncRNA Gm15441 in regulating fatty acid oxidation in hepatocytes. Altogether, these changes in coding and non-coding RNAs provide an integrated transcriptional network underlying the complexity of insulin action.

Idioma originalEnglish
Páginas (desde-hasta)3429-3443.e3
PublicaciónCell Reports
Volumen26
N.º12
DOI
EstadoPublished - mar 19 2019

Nota bibliográfica

Publisher Copyright:
© 2019 The Author(s)

Financiación

This work was supported by NIH grants R37DK031036, R01DK033201 (to C.R.K.), P30DK036836 (to Joslin Diabetes Center), and 5U2C-DK093000 (to J.K.K.) and the Mary K. Iacocca Professorship (to C.R.K.). T.M.B. was partially supported by a grant from Sao Paulo Research Foundation (2014/25370-8). R.G.M. was supported by a Deutsche Forschungsgemeinschaft (DFG) fellowship (GA 2426/1-1). B.T.O. was funded by a K08 training award (K08DK100543) and an R03 award (R03DK112003) from the NIDDK of the NIH. We thank Jonathan M. Dreyfuss and Hui Pan from Joslin Diabetes Center DRC Genomics and Bioinformatics Core for assistance with data analysis. This work was supported by NIH grants R37DK031036 , R01DK033201 (to C.R.K.), P30DK036836 (to Joslin Diabetes Center), and 5U2C-DK093000 (to J.K.K.) and the Mary K. Iacocca Professorship (to C.R.K.). T.M.B. was partially supported by a grant from Sao Paulo Research Foundation ( 2014/25370-8 ). R.G.M. was supported by a Deutsche Forschungsgemeinschaft (DFG) fellowship ( GA 2426/1-1 ). B.T.O. was funded by a K08 training award ( K08DK100543 ) and an R03 award ( R03DK112003 ) from the NIDDK of the NIH . We thank Jonathan M. Dreyfuss and Hui Pan from Joslin Diabetes Center DRC Genomics and Bioinformatics Core for assistance with data analysis.

FinanciadoresNúmero del financiador
National Institutes of Health (NIH)5U2C-DK093000
National Institutes of Health (NIH)
National Institute of Diabetes and Digestive and Kidney DiseasesK08DK100543, P30DK036836, R01DK031036, R03DK112003, R01DK033201
National Institute of Diabetes and Digestive and Kidney Diseases
Joslin Diabetes Center
Deutsche ForschungsgemeinschaftGA 2426/1-1
Deutsche Forschungsgemeinschaft
Fundação de Amparo à Pesquisa do Estado de São Paulo2014/25370-8
Fundação de Amparo à Pesquisa do Estado de São Paulo
Norges Idrettshøgskole

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Good health and well being
      Good health and well being

    ASJC Scopus subject areas

    • General Biochemistry, Genetics and Molecular Biology

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