{"title":"Constructing a doxycycline-inducible system for an epithelial-to-mesenchymal transition model in MCF10A cells.","authors":"Yaxuan Sun, Xun Zhou, Xiaohui Hu","doi":"10.1242/bio.061790","DOIUrl":null,"url":null,"abstract":"<p><p>Epithelial to mesenchymal transition (EMT) has been shown to play an essential role in the early stages of cancer cell invasion and metastasis. Inducible EMT models can initiate EMT in a controlled manner, thereby providing the opportunity to determine whether a cancer-associated gene influences cancer metastasis by triggering EMT. Moreover, different inducible EMT models enable the investigation of specific mechanisms of EMT modulation by various genes, facilitating a more precise understanding of how these genes influence cancer metastasis through the induction of EMT. Unfortunately, current inducible EMT models still present unmet needs. Therefore, we aimed to establish an inducible EMT model in MCF10A cells, a spontaneously immortalized human fibrocystic mammary cell line, by manipulating the expression of mouse Twist1 (mTwist1). In this study, we first compared the EMT induction capacity between human TWIST1 (hTWIST1) and mTwist1, and selected mTwist1 for further investigation. By monitoring the changes in epithelial and mesenchymal markers at different induction time points, we examined the EMT process in both polyclonal and monoclonal MCF10A cells that express doxycycline (DOX)-inducible mTwist1. Furthermore, our results showed that doxycycline-induced mTwist1 expression triggered EMT at a similar rate to TGFβ1-induced EMT in MCF10A cells. Additionally, this process was reversible upon DOX withdrawal. Thus, we have established a robust inducible EMT model in MCF10A cells, which can be used to further study cancer metastasis-driving genes.</p>","PeriodicalId":9216,"journal":{"name":"Biology Open","volume":"13 12","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11655024/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biology Open","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1242/bio.061790","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/9 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Epithelial to mesenchymal transition (EMT) has been shown to play an essential role in the early stages of cancer cell invasion and metastasis. Inducible EMT models can initiate EMT in a controlled manner, thereby providing the opportunity to determine whether a cancer-associated gene influences cancer metastasis by triggering EMT. Moreover, different inducible EMT models enable the investigation of specific mechanisms of EMT modulation by various genes, facilitating a more precise understanding of how these genes influence cancer metastasis through the induction of EMT. Unfortunately, current inducible EMT models still present unmet needs. Therefore, we aimed to establish an inducible EMT model in MCF10A cells, a spontaneously immortalized human fibrocystic mammary cell line, by manipulating the expression of mouse Twist1 (mTwist1). In this study, we first compared the EMT induction capacity between human TWIST1 (hTWIST1) and mTwist1, and selected mTwist1 for further investigation. By monitoring the changes in epithelial and mesenchymal markers at different induction time points, we examined the EMT process in both polyclonal and monoclonal MCF10A cells that express doxycycline (DOX)-inducible mTwist1. Furthermore, our results showed that doxycycline-induced mTwist1 expression triggered EMT at a similar rate to TGFβ1-induced EMT in MCF10A cells. Additionally, this process was reversible upon DOX withdrawal. Thus, we have established a robust inducible EMT model in MCF10A cells, which can be used to further study cancer metastasis-driving genes.
期刊介绍:
Biology Open (BiO) is an online Open Access journal that publishes peer-reviewed original research across all aspects of the biological sciences. BiO aims to provide rapid publication for scientifically sound observations and valid conclusions, without a requirement for perceived impact.