Systematic evaluation of colorectal cancer organoid system by single-cell RNA-Seq analysis
Rui Wang,Yunuo Mao,Wendong Wang,Xin Zhou,Wei Wang,Shuai Gao,Jingyun Li,Lu Wen,Wei Fu,Fuchou Tang +9 more
TL;DR: Wang et al. as discussed by the authors established patient-derived organoids from colorectal cancer patients and performed single-cell RNA-Seq for pairwise samples from seven patients for both organoids and their corresponding tumor and normal tissues in vivo.
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Abstract: Patient-derived organoid culture is a powerful system for studying the molecular mechanisms of cancers, especially colorectal cancer (CRC), one of the most prevalent cancers worldwide. There are two main types of 3D culture methods for colonic cells, but the similarities and differences between gene expression patterns in different culture media remain largely unexplored.Here, we establish patient-derived organoids from colorectal cancer patients and perform single-cell RNA-Seq for pairwise samples from seven patients for both organoids and their corresponding tumor and normal tissues in vivo. We find that organoids derived from tumor tissues faithfully recapitulate the main gene expression signatures of cancer cells in vivo. On the other hand, organoids derived from normal tissues exhibited some tumor-like features at the whole transcriptome level but retained normal genomic features, such as CNVs, point mutations, and normal global DNA methylation levels, for both cultural media. More importantly, we show that conditioned medium outperforms chemical-defined medium in long-term culture of tumor epithelial cells. Finally, we mutually exchange the culture medium for the organoids and find that after interchanging the medium, the organoid cells basically maintain the transcriptome characteristics of the original medium.Our work gives a thorough evaluation of both the cultural conditions and the biological features of organoids of CRC patients.
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Citations
Systematic evaluation of colorectal cancer organoid system by single-cell RNA-Seq analysis
Rui Wang,Yunuo Mao,Wendong Wang,Xin Zhou,Wei Wang,Shuai Gao,Jingyun Li,Lu Wen,Wei Fu,Fuchou Tang +9 more
TL;DR: Wang et al. as discussed by the authors established patient-derived organoids from colorectal cancer patients and performed single-cell RNA-Seq for pairwise samples from seven patients for both organoids and their corresponding tumor and normal tissues in vivo.
Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
Min Su,Tao Pan,Qiuliang Chen,Weiwei Zhou,Yi Gong,Gang Xu,Huan-Yu Yan,Si Li,Qiao-Zhen Shi,Ya Zhang,Xiaohong He,Chun-Jie Jiang,Shi-Cai Fan,Xia Li,Murray J. Cairns,Xi Wang,Yongsheng Li +16 more
TL;DR: In this article , the authors present a workflow for typical scRNA-seq data analysis, covering raw data processing and quality control, basic data analysis applicable for almost all scRNAseq data sets, and advanced data analysis that should be tailored to specific scientific questions.
Drug repurposing screening and mechanism analysis based on human colorectal cancer organoids.
Yunuo Mao,Wei Wang,Jing-wei Yang,Xin Zhou,Yongqu Lu,Junpeng Gao,Xiao Chen Wang,Lu Wen,Wei Fu,Fuchou Tang +9 more
TL;DR: In this article , a robust organoid-based drug screening system was developed to efficiently identify repurposed drugs for colorectal cancer (CRC) by combining the repused drug library and computation based drug prediction, and 34 drugs with anti-CRC effects were identified.
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Applications of human organoids in the personalized treatment for digestive diseases
TL;DR: In this paper , the authors highlight the advancements in the field of organoid technology from the perspectives of disease modeling and personalized therapy, highlighting the need for better models of the digestive organs.
Gut-on-a-Chip Models: Current and Future Perspectives for Host–Microbial Interactions Research
TL;DR: Gut-on-a-chip models can help to understand the underlying mechanisms of disease and the effect of different microbial compositions on the human intestine as discussed by the authors , and accelerate the development of new treatments for diseases associated with changes in the gut microbiome.
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