Single-cell transcriptomics identifies gene expression networks driving differentiation and tumorigenesis in the human fallopian tube.
Single-cell transcriptomics identifies gene expression networks driving differentiation and tumorigenesis in the human fallopian tube.
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DOI:
10.1016/j.celrep.2021.108978
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发表时间:
2021-04-13
期刊:
影响因子:
8.8
通讯作者:
Lawrenson, Kate
中科院分区:
文献类型:
--
作者:
Dinh, Huy Q.;Lin, Xianzhi;Abbasi, Forough;Nameki, Robbin;Haro, Marcela;Olingy, Claire E.;Chang, Heidi;Hernandez, Lourdes;Gayther, Simon A.;Wright, Kelly N.;Aspuria, Paul-Joseph;Karlan, Beth Y.;Corona, Rosario, I;Li, Andrew;Rimel, B. J.;Siedhoff, Matthew T.;Medeiros, Fabiola;Lawrenson, Kate
The human fallopian tube harbors the cell of origin for the majority of high-grade serous “ovarian” cancers (HGSCs), but its cellular composition, particularly the epithelial component, is poorly characterized. We perform single-cell transcriptomic profiling of around 53,000 individual cells from 12 primary fallopian specimens to map their major cell types. We identify 10 epithelial subpopulations with diverse transcriptional programs. Based on transcriptional signatures, we reconstruct a trajectory whereby secretory cells differentiate into ciliated cells via a RUNX3high intermediate. Computational deconvolution of advanced HGSCs identifies the “early secretory” population as a likely precursor state for the majority of HGSCs. Its signature comprises both epithelial and mesenchymal features and is enriched in mesenchymal-type HGSCs (p = 6.7 × 10−27), a group known to have particularly poor prognoses. This cellular and molecular compendium of the human fallopian tube in cancer-free women is expected to advance our understanding of the earliest stages of fallopian epithelial neoplasia. Using single-cell transcriptomic profiling of around 53,000 cells from human fallopian tubes, Dinh et al. identify SOX17 as a critical factor in fallopian epithelia and construct a differentiation trajectory involving a RUNX3+ intermediate. Early secretory epithelial cells are revealed to be a likely cell of origin for high-grade serous “ovarian” carcinomas.
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影响因子:
12.4
作者:
Haas, Andrew R.;Tanyi, Janos L.;Beatty, Gregory L.
通讯作者:
Beatty, Gregory L.
影响因子:
64.8
作者:
Cao, Junyue;Spielmann, Malte;Shendure, Jay
通讯作者:
Shendure, Jay
影响因子:
46.9
作者:
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者:
Newell, Evan W.
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:
16.6
作者:
Domcke, Silvia;Sinha, Rileen;Levine, Douglas A.;Sander, Chris;Schultz, Nikolaus
通讯作者:
Schultz, Nikolaus