Extracellular Vesicles Long RNA Profiling Identifies Abundant mRNA, circRNA and lncRNA in Human Bile as Potential Biomarkers for Cancer Diagnosis.
Huajie ZongWenqian YuHongyan LaiBing ChenHena ZhangJingjing ZhaoShengling HuangYan LiPublished in: Carcinogenesis (2023)
Extracellular vesicles (EVs) are bilayered membrane vesicles produced by living cells and secreted into the extracellular matrix. Bile is a special body fluid that is secreted by the liver cells, and extracellular vesicles long RNAs (exLRs) has not been explored in bile. In this study, exLR sequencing (exLR-seq) was performed on 19 bile samples from patients with malignant cancer or patients with biliary stones. A total of 8649 mRNAs, 13823 circRNAs and 1105 lncRNAs were detected. The KEGG pathway analysis revealed that differentially expressed exLRs were enriched in mTOR and AMPK signaling pathway. We identified five mRNAs (EID-2, LLPH, ATP6V0A2, RRP9, and MTRNR2L10), three lncRNAs (AC015922.2, AL135905.1, and LINC00921) and six circRNAs (circASH1L, circATP9A, circCLIP1, circRNF138, circTIMMDC1 and circANKRD12) were enriched in bile EV samples with cancer, and these exLRs may be potential markers used to distinguish malignant cancers from benign biliary diseases. Moreover, the tissue/cellular source components of EVs were analyzed using the EV-origin algorithm. The absolute abundance of CD4_naive and Th1 cell source in bile EVs from cancer patients were significantly increased. In summary, our study presented abundant exLRs in human bile EVs and provides some basis for the selection of tumor diagnostic markers.
Keyphrases
- single cell
- papillary thyroid
- extracellular matrix
- living cells
- endothelial cells
- signaling pathway
- squamous cell
- cell proliferation
- induced apoptosis
- long non coding rna
- machine learning
- genome wide
- induced pluripotent stem cells
- stem cells
- squamous cell carcinoma
- fluorescent probe
- gene expression
- young adults
- long noncoding rna
- deep learning
- epithelial mesenchymal transition
- hiv infected
- skeletal muscle
- oxidative stress
- bone marrow
- cell death
- risk assessment
- endoplasmic reticulum stress
- pluripotent stem cells
- genome wide analysis
- antiretroviral therapy
- urinary tract