Cell-Type-Specific Chromatin States Differentially Prime Squamous Cell Carcinoma Tumor-Initiating Cells for Epithelial to Mesenchymal Transition.
Cell-Type-Specific Chromatin States Differentially Prime Squamous Cell Carcinoma Tumor-Initiating Cells for Epithelial to Mesenchymal Transition.
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DOI:
10.1016/j.stem.2016.10.018
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发表时间:
2017-02-02
期刊:
影响因子:
23.9
通讯作者:
Blanpain C
中科院分区:
文献类型:
--
作者:
Latil M;Nassar D;Beck B;Boumahdi S;Wang L;Brisebarre A;Dubois C;Nkusi E;Lenglez S;Checinska A;Vercauteren Drubbel A;Devos M;Declercq W;Yi R;Blanpain C
Epithelial to mesenchymal transition (EMT) in cancer cells has been associated with metastasis, sternness, and resistance to therapy. Some tumors undergo EMT while others do not, which may reflect intrinsic properties of their cell of origin. However, this possibility is largely unexplored. By targeting the same oncogenic mutations to discrete skin compartments, we show that cell-type-specific chromatin and transcriptional states differentially prime tumors to EMT. Squamous cell carcinomas (SCCs) derived from interfollicular epidermis (IFE) are generally well differentiated, while hair follicle (HF) stem cell-derived SCCs frequently exhibit EMT, efficiently form secondary tumors, and possess increased metastatic potential. Transcriptional and epigenomic profiling revealed that IFE and HF tumor-initiating cells possess distinct chromatin landscapes and gene regulatory networks associated with tumorigenesis and EMT that correlate with accessibility of key epithelial and EMT transcription factor binding sites. These findings highlight the importance of chromatin states and transcriptional priming in dictating tumor phenotypes and EMT. In Brief Latil and colleagues show that tumor phenotypes and propensity for EMT are dictated by cell-type-specific chomatin and transcriptional states of the cancer cell of origin. These findings provide insight into mechanisms through which chromatin landscapes and gene regulatory networks prime tumor-initiating cells to undergo EMT.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.
影响因子:
64.8
作者:
Boumahdi, Soufiane;Driessens, Gregory;Blanpain, Cedric
通讯作者:
Blanpain, Cedric
DOI:
10.1126/science.1242281
发表时间:
2014-06-13
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Blanpain C;Fuchs E
通讯作者:
Fuchs E
影响因子:
64.5
作者:
Horsley, Valerie;Aliprantis, Antonios O.;Fuchs, Elaine
通讯作者:
Fuchs, Elaine