scholarly journals Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Hanbing Song ◽  
Hannah N. W. Weinstein ◽  
Paul Allegakoen ◽  
Marc H. Wadsworth ◽  
Jamie Xie ◽  
...  

AbstractProstate cancer is the second most common malignancy in men worldwide and consists of a mixture of tumor and non-tumor cell types. To characterize the prostate cancer tumor microenvironment, we perform single-cell RNA-sequencing on prostate biopsies, prostatectomy specimens, and patient-derived organoids from localized prostate cancer patients. We uncover heterogeneous cellular states in prostate epithelial cells marked by high androgen signaling states that are enriched in prostate cancer and identify a population of tumor-associated club cells that may be associated with prostate carcinogenesis. ERG-negative tumor cells, compared to ERG-positive cells, demonstrate shared heterogeneity with surrounding luminal epithelial cells and appear to give rise to common tumor microenvironment responses. Finally, we show that prostate epithelial organoids harbor tumor-associated epithelial cell states and are enriched with distinct cell types and states from their parent tissues. Our results provide diagnostically relevant insights and advance our understanding of the cellular states associated with prostate carcinogenesis.

2020 ◽  
Author(s):  
Hanbing Song ◽  
Hannah N.W. Weinstein ◽  
Paul Allegakoen ◽  
Marc H. Wadsworth ◽  
Jamie Xie ◽  
...  

AbstractProstate cancer is the second most common malignancy in men worldwide and consists of a mixture of tumor and non-tumor cell types. To characterize the prostate cancer tumor microenvironment, we performed single-cell RNA-sequencing on prostate biopsies, prostatectomy specimens, and patient-derived organoids from localized prostate cancer patients. We identify a population of tumor-associated club cells that may act as progenitor cells and uncover heterogeneous cellular states in prostate epithelial cells marked by high androgen signaling states that are enriched in prostate cancer. ERG- tumor cells, compared to ERG+ cells, demonstrate shared heterogeneity with surrounding luminal epithelial cells and appear to give rise to common tumor microenvironment responses. Finally, we show that prostate epithelial organoids recapitulate tumor-associated epithelial cell states and are enriched with distinct cell types and states from their parent tissues. Our results provide diagnostically relevant insights and advance our understanding of the cellular states associated with prostate carcinogenesis.


2020 ◽  
Author(s):  
Fengfei Gu ◽  
Jiajin Wu ◽  
Senlin Zhu ◽  
Teresa G. Valencak ◽  
Jian-Xin Liu ◽  
...  

Abstract Background: Cow’s milk is a highly-nutritious dairy product that is widely consumed worldwide. It is secreted by the developed mammary gland (MG) of dairy cattle. However, a comprehensive understanding of cell-type diversity and cell function within bovine MG is lacking. In the current study, we used single-cell RNA sequencing to investigate the transcriptome of 24,472 high-quality MG cells isolated from newborn and adult cows. Results: Unbiased clustering analysis revealed the existence of 24 cell types, which could be divided into four categories: 9 immune, 3 epithelial, 9 fibroblast, and 3 endothelial cell types. Other cell subtypes were further identified based on re-clustering and pseudotemporal reconstruction of epithelial cells that included 3 mature luminal epithelial, 1 intermediate, and 2 progenitor cell subtypes. The individual top marker genes of these 3 mature luminal epithelial cell subtypes (L0, L1, and L5) were APOA1, STC2, and PTX3, which were further validated using immunofluorescence. Based on functional analysis, the L0, L1, and L5 cell subtypes were all involved in the upregulation of lipid metabolism, protein and hormone metabolism, and the immune response, respectively. Furthermore, we discovered a novel myofibroblast that expresses COL1A1 and CSN3, has visible epithelial-like characteristics, and shows the potential to differentiate into luminal epithelial cells, especially immune-sensing luminal cells (L5). Conclusions: We constructed the first single-cell atlas of the dairy cow MG, and our new findings of epithelial-like myofibroblast cells and their differentiation trajectories into luminal cells may provide novel insights into the development and lactogenesis in dairy cattle MGs.


2021 ◽  
Author(s):  
Tao Zhu ◽  
Anthony P Brown ◽  
Lucy Cai ◽  
Gerald Quon ◽  
Hong Ji

Background: Tet1 protects against house dust mite (HDM)-induced lung inflammation in mice and alters the lung methylome and transcriptome. We explored the role of Tet1 in individual lung epithelial cell types in HDM-induced inflammation. Methods: A model of HDM-induced lung inflammation was established in Tet1 knockout and littermate wildtype mice. EpCAM+ lung epithelial cells were isolated. Libraries were generated using the 10X Chromium workflow and sequenced. ScRNA-seq analysis was performed using Cell Ranger, scAlign, and Seurat. Cell types were labeled using known markers. Enriched pathways were identified using Ingenuity Pathway Analysis. Transcription factor (TF) activity was analyzed by DoRothEA. Single-cell trajectory analysis was performed with Monocle to explore Alveolar type 2 (AT2) cell differentiation. Results: AT2 cells were the most abundant among the eight EpCAM+ lung epithelial cell types. HDM challenge increased the percentage of alveolar progenitor cells (AP), broncho alveolar stem cells (BAS), and goblet cells, and decreased the percentage of AT2 and ciliated cells. Bulk and cell-type-specific analysis identified genes subject to Tet1 regulation and linked to augmented lung inflammation, including alarms, detoxification enzymes and oxidative stress response genes, and gene in tissue repair. The transcriptomic regulation was accompanied by alterations in TF activities. Trajectory analysis supports that HDM may enhance the differentiation of AP and BAS cells into AT2 cells, independent of Tet1. Conclusions: Collectively, lung epithelial cells had common and unique transcriptomic signatures of allergic lung inflammation. Tet1 deletion altered transcriptomic networks in various lung epithelial cells, with an overall effect of promoting allergen-induced lung inflammation.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 254-254
Author(s):  
Hanbing Song ◽  
Hannah N.W. Weinstein ◽  
Paul Allegakoen ◽  
Marc Wadsworth ◽  
Jamie Xie ◽  
...  

254 Background: Prostate cancer is the second most common malignancy in men worldwide. The development of cancer from prostate tissue involves complex interactions of tumor cells with surrounding epithelial and stromal cells and can occur multifocally, suggesting that prostate epithelial cells may undergo cellular state transitions towards carcinogenesis. Previous studies on localized prostate cancer molecular changes have focused on unsorted bulk tissue samples, leaving a gap in our understanding of the cellular heterogeneity in the tumor microenvironment. Single-cell analyses of tumor specimens have the potential to reveal, at unprecedented resolution, cellular composition, as well as instructive intercellular interactions. Methods: To characterize the localized prostate cancer tumor microenvironment, we performed single-cell RNA-sequencing (scRNA-seq) on prostate biopsies, radical prostatectomy specimens, and matched patient-derived organoids from localized prostate cancer patients. Results: Within prostate epithelial cells, we identified a population of club cells that may act as progenitor cells. Furthermore, we uncovered luminal-like epithelial cellular states augmented in androgen signaling across basal and club cell populations. By classifying tumor cells based on ERG expression status, we found that ERG- tumor cells, in contrast to ERG+ cells, share transcriptomic heterogeneity with surrounding luminal epithelial cells and are associated with common stromal and immune microenvironment responses. These results suggest that specific immune niches may arise based on TMPRSS2-ERG fusion status. Finally, we generated prostate epithelial organoids derived from matched localized prostate cancer patients and characterized their transcriptomic profiles by scRNA-seq. These patient-derived organoids recapitulated tumor-associated epithelial cell states but also harbored distinct cell types and states from their parent tissues. Conclusions: Our data from localized prostate cancer specimens and organoids provide diagnostically relevant insights and will help advance our understanding of the cancer cellular states associated with prostate carcinogenesis.


2018 ◽  
Author(s):  
Jianhua Yin ◽  
Zhisheng Li ◽  
Chen Yan ◽  
Enhao Fang ◽  
Ting Wang ◽  
...  

AbstractThe tumor microenvironment is composed of numerous cell types, including tumor, immune and stromal cells. Cancer cells interact with the tumor microenvironment to suppress anticancer immunity. In this study, we molecularly dissected the tumor microenvironment of breast cancer by single-cell RNA-seq. We profiled the breast cancer tumor microenvironment by analyzing the single-cell transcriptomes of 52,163 cells from the tumor tissues of 15 breast cancer patients. The tumor cells and immune cells from individual patients were analyzed simultaneously at the single-cell level. This study explores the diversity of the cell types in the tumor microenvironment and provides information on the mechanisms of escape from clearance by immune cells in breast cancer.One Sentence SummaryLandscape of tumor cells and immune cells in breast cancer by single cell RNA-seq


2019 ◽  
Vol 2 (1) ◽  
pp. 97-109 ◽  
Author(s):  
Jinchu Vijay ◽  
Marie-Frédérique Gauthier ◽  
Rebecca L. Biswell ◽  
Daniel A. Louiselle ◽  
Jeffrey J. Johnston ◽  
...  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hongyu Zhao ◽  
Yu Teng ◽  
Wende Hao ◽  
Jie Li ◽  
Zhefeng Li ◽  
...  

Abstract Background Ovarian cancer was one of the leading causes of female deaths. Patients with OC were essentially incurable and portends a poor prognosis, presumably because of profound genetic heterogeneity limiting reproducible prognostic classifications. Methods We comprehensively analyzed an ovarian cancer single-cell RNA sequencing dataset, GSE118828, and identified nine major cell types. Relationship between the clusters was explored with CellPhoneDB. A malignant epithelial cluster was confirmed using pseudotime analysis, CNV and GSVA. Furthermore, we constructed the prediction model (i.e., RiskScore) consisted of 10 prognosis-specific genes from 2397 malignant epithelial genes using the LASSO Cox regression algorithm based on public datasets. Then, the prognostic value of Riskscore was assessed with Kaplan–Meier survival analysis and time-dependent ROC curves. At last, a series of in-vitro assays were conducted to explore the roles of IL4I1, an important gene in Riskscore, in OC progression. Results We found that macrophages possessed the most interaction pairs with other clusters, and M2-like TAMs were the dominant type of macrophages. C0 was identified as the malignant epithelial cluster. Patients with a lower RiskScore had a greater OS (log-rank P < 0.01). In training set, the AUC of RiskScore was 0.666, 0.743 and 0.809 in 1-year, 3-year and 5-year survival, respectively. This was also validated in another two cohorts. Moreover, downregulation of IL4I1 inhibited OC cells proliferation, migration and invasion. Conclusions Our work provide novel insights into our understanding of the heterogeneity among OCs, and would help elucidate the biology of OC and provide clinical guidance in prognosis for OC patients.


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