Literature DB >> 30992313

High-throughput Exploration of the Network Dependent on AKT1 in Mouse Ovarian Granulosa Cells.

Maëva Elzaiat1,2, Laetitia Herman1,2, Bérangère Legois1,2, Thibaut Léger1, Anne-Laure Todeschini3,2, Reiner A Veitia4,2.   

Abstract

The PI3K/AKT signaling pathway is known to regulate a broad range of cellular processes, and it is often altered in several types of cancers. Recently, somatic AKT1 mutations leading to a strong activation of this kinase have been reported in juvenile granulosa cell tumors. However, the molecular role of AKT1 in the supporting cell lineage of the ovary is still poorly understood. To get insights into its function in such cells, we depleted Akt1 in murine primary granulosa cells and assessed the molecular consequences at both the transcript and protein levels. We were able to corroborate the involvement of AKT1 in the regulation of metabolism, apoptosis, cell cycle, or cytoskeleton dynamics in this ovarian cell type. Consistently, we showed in established granulosa cells that depletion of Akt1 provoked altered directional persistent migration and increased its velocity. This study also allowed us to put forward new direct and indirect targets of the kinase. Indeed, a series of proteins involved in intracellular transport and mitochondrial physiology were significantly affected by Akt1 depletion. Using in silico analyses, we also propose a set of kinases and transcription factors that can mediate the action of AKT1 on the deregulated transcripts and proteins. Taken altogether, our results provide a resource of direct and indirect AKT1 targets in granulosa cells and may help understand its roles in this ovarian cell type.
© 2019 Elzaiat et al.

Entities:  

Keywords:  AKT1; Granulosa Cells; Kinases*; Networks*; Omics; Ovary; Post-Translational Modifications*; RNA SEQ

Mesh:

Substances:

Year:  2019        PMID: 30992313      PMCID: PMC6601207          DOI: 10.1074/mcp.RA119.001461

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  69 in total

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