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      Tumor suppressor let-7 acts as a key regulator for pluripotency gene expression in Muse cells

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          Abstract

          In embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), the expression of an RNA-binding pluripotency-relevant protein, LIN28, and the absence of its antagonist, the tumor-suppressor microRNA (miRNA) let-7, play a key role in maintaining pluripotency. Muse cells are non-tumorigenic pluripotent-like stem cells residing in the bone marrow, peripheral blood, and organ connective tissues as pluripotent surface marker SSEA-3(+). They express pluripotency genes, differentiate into triploblastic-lineage cells, and self-renew at the single cell level. Muse cells do not express LIN28 but do express let-7 at higher levels than in iPSCs. In Muse cells, we demonstrated that let-7 inhibited the PI3K-AKT pathway, leading to sustainable expression of the key pluripotency regulator KLF4 as well as its downstream genes, POU5F1, SOX2, and NANOG. Let-7 also suppressed proliferation and glycolysis by inhibiting the PI3K-AKT pathway, suggesting its involvement in non-tumorigenicity. Furthermore, the MEK/ERK pathway is not controlled by let-7 and may have a pivotal role in maintaining self-renewal and suppression of senescence. The system found in Muse cells, in which the tumor suppressor let-7, but not LIN28, tunes the expression of pluripotency genes, might be a rational cell system conferring both pluripotency-like properties and a low risk for tumorigenicity.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00018-023-05089-9.

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              The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

              A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein–protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein–protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.
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                Author and article information

                Contributors
                gen.li.e6@tohoku.ac.jp
                Masaaki.Kitada@gmail.com
                mdezawa@med.tohoku.ac.jp
                Journal
                Cell Mol Life Sci
                Cell Mol Life Sci
                Cellular and Molecular Life Sciences
                Springer International Publishing (Cham )
                1420-682X
                1420-9071
                23 January 2024
                23 January 2024
                2024
                : 81
                : 1
                : 54
                Affiliations
                [1 ]Department of Stem Cell Biology and Histology, Tohoku University Graduate School of Medicine, ( https://ror.org/01dq60k83) 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575 Japan
                [2 ]Department of Anatomy, Kansai Medical University School of Medicine, ( https://ror.org/001xjdh50) 2-5-1 Shin-machi, Hirakata, Osaka 573-1191 Japan
                Author information
                http://orcid.org/0000-0002-8058-3212
                Article
                5089
                10.1007/s00018-023-05089-9
                10805825
                38261036
                caa5c982-721b-495f-97b2-f9481614035c
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 August 2023
                : 1 December 2023
                : 12 December 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: 19K22648
                Award ID: 20H04510
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer Nature Switzerland AG 2024

                Molecular biology
                muse cells,mesenchymal stem cells,let-7,lin28,pi3k-akt pathway,mek/erk pathway
                Molecular biology
                muse cells, mesenchymal stem cells, let-7, lin28, pi3k-akt pathway, mek/erk pathway

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