Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A KLF6-driven transcriptional network links lipid homeostasis and tumour growth in renal carcinoma

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Transcriptional networks are critical for the establishment of tissue-specific cellular states in health and disease, including cancer. Yet, the transcriptional circuits that control carcinogenesis remain poorly understood. Here we report that Kruppel like factor 6 (KLF6), a transcription factor of the zinc finger family, regulates lipid homeostasis in clear cell renal cell carcinoma (ccRCC). We show that KLF6 supports the expression of lipid metabolism genes and promotes the expression of PDGFB, which activates mTOR signalling and the downstream lipid metabolism regulators SREBF1 and SREBF2. KLF6 expression is driven by a robust super enhancer that integrates signals from multiple pathways, including the ccRCC-initiating VHL-HIF2A pathway. These results suggest an underlying mechanism for high mTOR activity in ccRCC cells. More generally, the link between super enhancer-driven transcriptional networks and essential metabolic pathways may provide clues to the mechanisms that maintain the stability of cell identity-defining transcriptional programmes in cancer.

          Abstract

          Super enhancers are frequently involved in the dysregulation of gene expression in cancer. Here, in kidney cancer, a super enhancer is shown to drive the expression of KLF6, which alters the expression of lipid metabolism genes and promotes tumorigenesis.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: found
          • Article: not found

          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The transcriptional landscape of the mammalian genome.

            This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              SREBP Activity Is Regulated by mTORC1 and Contributes to Akt-Dependent Cell Growth

              Summary Cell growth (accumulation of mass) needs to be coordinated with metabolic processes that are required for the synthesis of macromolecules. The PI3-kinase/Akt signaling pathway induces cell growth via activation of complex 1 of the target of rapamycin (TORC1). Here we show that Akt-dependent lipogenesis requires mTORC1 activity. Furthermore, nuclear accumulation of the mature form of the sterol responsive element binding protein (SREBP1) and expression of SREBP target genes was blocked by the mTORC1 inhibitor rapamycin. We also show that silencing of SREBP blocks Akt-dependent lipogenesis and attenuates the increase in cell size in response to Akt activation in vitro. Silencing of dSREBP in flies caused a reduction in cell and organ size and blocked the induction of cell growth by dPI3K. Our results suggest that the PI3K/Akt/TOR pathway regulates protein and lipid biosynthesis in an orchestrated manner and that both processes are required for cell growth.
                Bookmark

                Author and article information

                Contributors
                sv358@mrc-cu.cam.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                11 March 2019
                11 March 2019
                2019
                : 10
                : 1152
                Affiliations
                [1 ]ISNI 0000000121885934, GRID grid.5335.0, MRC Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, ; Box 197, Cambridge Biomedical Campus, Cambridge, CB2 0XZ UK
                [2 ]ISNI 0000 0004 1937 1557, GRID grid.412113.4, UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Jalan Yaacob Latiff, ; Bandar Tun Razak, Kuala Lumpur, 56000 Malaysia
                [3 ]ISNI 0000000121885934, GRID grid.5335.0, Academic Urology Group, Department of Surgery, , University of Cambridge, Addenbrooke’s Hospital, Cambridge Biomedical Campus, ; Cambridge, CB2 0QQ UK
                [4 ]ISNI 0000 0004 0383 8386, GRID grid.24029.3d, Department of Histopathology, , Cambridge University Hospitals NHS Foundation Trust, ; Cambridge, CB2 0QQ UK
                [5 ]ISNI 0000000121885934, GRID grid.5335.0, Department of Oncology, , University of Cambridge, ; Cambridge, CB2 0XZ UK
                [6 ]ISNI 0000 0004 0545 5282, GRID grid.448614.b, Department of Oncology, Addenbrooke’s Hospital, , Cambridge University Health Partners, ; Cambridge, CB2 0QQ UK
                [7 ]ISNI 0000 0004 5929 4381, GRID grid.417815.e, Oncology Early Clinical Development, AstraZeneca, ; Cambridge, SG8 6EH UK
                Author information
                http://orcid.org/0000-0003-1046-0601
                Article
                9116
                10.1038/s41467-019-09116-x
                6411998
                30858363
                c95973b9-4c85-4d01-b929-ae707879c647
                © The Author(s) 2019

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 June 2018
                : 15 February 2019
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                Uncategorized

                Comments

                Comment on this article