Characterization of cell-type specific circular RNAs associated with colorectal cancer metastasis

被引:3
|
作者
Zhao, Sidi [1 ]
Ly, Amy
Mudd, Jacqueline L. [1 ,3 ]
Rozycki, Emily B. [1 ]
Webster, Jace [1 ]
Coonrod, Emily [1 ]
Othoum, Ghofran
Luo, Jingqin [2 ,4 ]
Dang, Ha X. [1 ]
Fields, Ryan C. [2 ,3 ]
Maher, Christopher A. [1 ,2 ,5 ]
机构
[1] Washington Univ, Sch Med, Dept Internal Med, St Louis, MO 63108 USA
[2] Washington Univ, Alvin J Siteman Canc Ctr, Sch Med, St Louis, MO 63108 USA
[3] Washington Univ, Sch Med, Dept Surg, St Louis, MO 63108 USA
[4] Washington Univ, Dept Surg, Div Publ Hlth Sci, Sch Med, St Louis, MO 63108 USA
[5] Washington Univ, Sch Med, Dept Biomed Engn, St Louis, MO 63108 USA
来源
NAR CANCER | 2023年 / 5卷 / 02期
基金
美国国家卫生研究院;
关键词
EXPRESSION PROFILE; PROLIFERATION; LANDSCAPE; APOPTOSIS; DATABASE; QUANTIFICATION; IDENTIFICATION; PROGRESSION; MIGRATION; BIOMARKER;
D O I
10.1093/narcan/zcad021
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Colorectal cancer (CRC) is the most common gastrointestinal malignancy and a leading cause of cancer deaths in the United States. More than half of CRC patients develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Circular RNAs (circRNAs) have recently emerged as important tumorigenesis regulators; however, their role in mCRC progression remains poorly characterized. Further, little is known about their cell-type specificity to elucidate their functions in the tumor microenvironment (TME). To address this, we performed total RNA sequencing (RNA-seq) on 30 matched normal, primary and metastatic samples from 14 mCRC patients. Additionally, five CRC cell lines were sequenced to construct a circRNA catalog in CRC. We detected 47 869 circRNAs, with 51% previously unannotated in CRC and 14% novel candidates when compared to existing circRNA databases. We identified 362 circRNAs differentially expressed in primary and/or metastatic tissues, termed circular RNAs associated with metastasis (CRAMS). We performed cell-type deconvolution using published single-cell RNA-seq datasets and applied a non-negative least squares statistical model to estimate cell-type specific circRNA expression. This predicted 667 circRNAs as exclusively expressed in a single cell type. Collectively, this serves as a valuable resource, TMECircDB (accessible at ), for functional characterization of circRNAs in mCRC, specifically in the TME.
引用
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页数:16
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