scholarly journals SINGLE CELL RNA-SEQ ANALYSIS OF THE HUMAN FALLOPIAN TUBE PROVIDES INSIGHTS INTO THE PATHOPHYSIOLOGY OF THE HYDROSALPINX DISEASE STATE

2021 ◽  
Vol 116 (3) ◽  
pp. e414-e415
Author(s):  
Nicole D. Ulrich ◽  
Yu-chi Shen ◽  
Qianyi Ma ◽  
Kun Yang ◽  
Andrea Jones ◽  
...  
2020 ◽  
Vol 114 (3) ◽  
pp. e353
Author(s):  
Nicole D. Ulrich ◽  
Yu-chi Shen ◽  
Qianyi Ma ◽  
Kun Yang ◽  
Erica E. Marsh ◽  
...  

2020 ◽  
Author(s):  
Huy Q. Dinh ◽  
Xianzhi Lin ◽  
Forough Abbasi ◽  
Robbin Nameki ◽  
Marcela Haro ◽  
...  

SummaryThe 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 performed single-cell transcriptomic profiling in 12 primary fallopian specimens from 8 patients, analyzing around 53,000 individual cells to map the major immune, fibroblastic and epithelial cell types present in this organ. We identified 10 epithelial sub-populations, characterized by diverse transcriptional programs including SOX17 (enriched in secretory epithelial cells), TTF3 and RFX3 (enriched in ciliated cells) and NR2F2 (enriched in early, partially differentiated secretory cells). Based on transcriptional signatures, we reconstructed a trajectory whereby secretory cells differentiate into ciliated cells via a RUNX3high intermediate. Computational deconvolution of the cellular composition of advanced HGSCs based on epithelial subset signatures identified the ‘early secretory’ population as a likely precursor state for the majority of HGSCs. The signature of this rare population of cells comprised both epithelial (EPCAM, KRT) and mesenchymal (THY1, ACTA2) features, and was 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.


Cell Reports ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 108978
Author(s):  
Huy Q. Dinh ◽  
Xianzhi Lin ◽  
Forough Abbasi ◽  
Robbin Nameki ◽  
Marcela Haro ◽  
...  

2021 ◽  
Author(s):  
James S. Nagai ◽  
Nils B. Leimkühler ◽  
Rebekka K. Schneider ◽  
Ivan G.Costa

ABSTRACTMotivationLigand-receptor (LR) analysis allows the characterization of cellular crosstalk from single cell RNA-seq data. However, current LR methods provide limited approaches for prioritization of cell types, ligands or receptors or characterizing changes in crosstalk between two biological conditions.ResultsCrossTalkeR is a framework for network analysis and visualisation of LR networks. CrossTalkeR identifies relevant ligands, receptors and cell types contributing to changes in cell communication when contrasting two biological states: disease vs. homeostasis. A case study on scRNA-seq of human myeloproliferative neoplasms reinforces the strengths of CrossTalkeR for characterisation of changes in cellular crosstalk in disease state.Availability and ImplementationCrosstalkeR is as a package in R and available as a package in https://github.com/CostaLab/CrossTalkeR.


1969 ◽  
Vol 61 (1_Suppl) ◽  
pp. S80 ◽  
Author(s):  
Hubertus A. van Leusden

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