4.5 Article

Comparative proteomic analysis of insulin receptor isoform A and B signaling

Journal

MOLECULAR AND CELLULAR ENDOCRINOLOGY
Volume 557, Issue -, Pages -

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.mce.2022.111739

Keywords

Insulin; Insulin receptor isoforms; Insulin receptor substrates; Insulin receptor signaling; Quantitative proteomics; Cancer

Funding

  1. Fondazione AIRC [23369]
  2. Ministero della Salute, Italy [RF-2019-12368937]

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The insulin receptor gene undergoes differential splicing to generate two isoforms, IR-A and IR-B. IR-A is associated with cancer, while IR-B is involved in metabolic regulation. However, the molecular mechanisms underlying their different biological effects are not well understood. Proteomic analysis on mouse fibroblasts expressing either IR-A or IR-B revealed that insulin-activated IR-A is primarily associated with cancer, stemness, and interferon signaling, while insulin-stimulated IR-B is associated with metabolic and tumor suppressive functions.
The insulin receptor (IR) gene undergoes differential splicing generating two IR isoforms, IR-A and IR-B. The roles of IR-A in cancer and of IR-B in metabolic regulation are well known but the molecular mechanisms responsible for their different biological effects are poorly understood. We aimed to identify different or similar protein substrates and signaling linked to each IR isoforms. We employed mouse fibroblasts lacking IGF1R gene and expressing exclusively either IR-A or IR-B. By proteomic analysis a total of 2530 proteins were identified and quantified. Proteins and pathways mostly associated with insulin-activated IR-A were involved in cancer, stemness and interferon signaling. Instead, proteins and pathways associated with insulin-stimulated IR-B -expressing cells were mostly involved in metabolic or tumor suppressive functions. These results show that IR-A and IR-B recruit partially different multiprotein complexes in response to insulin, suggesting partially different functions of IR isoforms in physiology and in disease.

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