RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Cancer Informatics Pub Date : 2023-01-01 DOI:10.1177/11769351231161478
Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu, Jiake Xu
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Abstract

Osteosarcoma (OS) is the most common primary cancer in the skeletal system, characterized by a high incidence of lung metastasis, local recurrence and death. Systemic treatment of this aggressive cancer has not improved significantly since the introduction of chemotherapy regimens, underscoring a critical need for new treatment strategies. TRAIL receptors have long been proposed to be therapeutic targets for cancer treatment, but their role in osteosarcoma remains unclear. In this study, we investigated the expression profile of four TRAIL receptors in human OS cells using total RNA-seq and single-cell RNA-seq (scRNA-seq). The results revealed that TNFRSF10B and TNFRSF10D but not TNFRSF10A and TNFRSF10C are differentially expressed in human OS cells as compared to normal cells. At the single cell level by scRNA-seq analyses, TNFRSF10B, TNFRSF10D, TNFRSF10A and TNFRSF10C are most abundantly expressed in endothelial cells of OS tissues among nine distinct cell clusters. Notably, in osteoblastic OS cells, TNFRSF10B is most abundantly expressed, followed by TNFRSF10D, TNFRSF10A and TNFRSF10C. Similarly, in an OS cell line U2-OS using RNA-seq, TNFRSF10B is most abundantly expressed, followed by TNFRSF10D, TNFRSF10A and TNFRSF10C. According to the TARGET online database, poor patient outcomes were associated with low expression of TNFRSF10C. These results could provide a new perspective to design novel therapeutic targets of TRAIL receptors for the diagnosis, prognosis and treatment of OS and other cancers.

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人骨肉瘤细胞和组织中TRAIL受体基因表达的RNA-seq和单细胞转录组分析。
骨肉瘤(Osteosarcoma, OS)是骨骼系统中最常见的原发肿瘤,其特点是肺转移、局部复发和死亡的发生率高。自从引入化疗方案以来,这种侵袭性癌症的全身治疗并没有显著改善,这强调了对新治疗策略的迫切需要。TRAIL受体长期以来被认为是癌症治疗的靶点,但其在骨肉瘤中的作用尚不清楚。在这项研究中,我们使用总RNA-seq和单细胞RNA-seq (scRNA-seq)研究了四种TRAIL受体在人OS细胞中的表达谱。结果显示,与正常细胞相比,TNFRSF10B和TNFRSF10D在人OS细胞中存在差异表达,而TNFRSF10A和TNFRSF10C不存在差异表达。在单细胞水平上,通过scRNA-seq分析,在9个不同的细胞簇中,TNFRSF10B、TNFRSF10D、TNFRSF10A和TNFRSF10C在OS组织内皮细胞中表达量最高。值得注意的是,在成骨OS细胞中,TNFRSF10B的表达量最高,其次是TNFRSF10D、TNFRSF10A和TNFRSF10C。同样,在使用RNA-seq的OS细胞系U2-OS中,TNFRSF10B的表达量最高,其次是TNFRSF10D、TNFRSF10A和TNFRSF10C。根据TARGET在线数据库,不良的患者预后与TNFRSF10C的低表达有关。这些结果可以为设计新的TRAIL受体治疗靶点为OS等肿瘤的诊断、预后和治疗提供新的视角。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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