Literature DB >> 17016646

Effects of RNAi-mediated Smad4 silencing on growth and apoptosis of human rhabdomyosarcoma cells.

Lv Ye1, Hongying Zhang, Li Zhang, Guanghua Yang, Qi Ke, Hua Guo, Hong Bu.   

Abstract

Transforming growth factor-beta (TGF-beta) signals through membrane-bound heteromeric serine/threonine kinase receptors. Upon ligand binding, TGF-beta activates intracellular Smad proteins and regulates proliferation and apoptosis in various cell types. To demonstrate the effects of TGF-beta/Smad signal on growth and apoptosis of human embryonal rhabdomyosarcoma (RMS) cells, a strategy of RNAi-mediated 'gene silencing' of Smad4 was used to interrupt endogenous TGF-beta/Smad signaling in an RMS cell line, RD, and the regulation of exogenous TGF-beta1 to growth and apoptosis of the cells was also determined. Physiologically, TGF-beta/Smad signaling was essential for the normal growth of RD. The interruption of endogenous TGF-beta/Smad signaling by RNAi significantly suppressed the growth of RD cells and dramatically induced apoptosis of RD cells. Exogenous TGF-beta1 also inhibited the growth of RD cells, but had no effect on apoptosis. It also partially counteracted the growth inhibition and apoptosis induced by Smad4 silencing in RD cells. These findings provide a new insight into how TGF-beta/Smad signaling regulates the growth and apoptosis of cancer cells. Moreover, as a powerful tool, shRNA interference suppresses endogenous Smad4 gene expression and subsequently modulates cell growth and apoptosis, which may provide a novel basis for the development of rational intervention strategies in RMS therapy.

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Year:  2006        PMID: 17016646

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  2 in total

1.  Bis-indole derived nuclear receptor 4A1 (NR4A1) antagonists inhibit TGFβ-induced invasion of embryonal rhabdomyosarcoma cells.

Authors:  Rupesh Shrestha; Kumaravel Mohankumar; Stephen Safe
Journal:  Am J Cancer Res       Date:  2020-08-01       Impact factor: 6.166

2.  Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Authors:  A Grilli; M Sciandra; M Terracciano; P Picci; K Scotlandi
Journal:  BMC Med Genomics       Date:  2015-06-30       Impact factor: 3.063

  2 in total

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