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SRTdb:人类组织和癌症特异性RNA转录本的综合数据库

SRTdb: an omnibus for human tissue and cancer-specific RNA transcripts.

作者信息

Shi Qili, Liu Teng, Hu Wei, Chen Zhiao, He Xianghuo, Li Shengli

机构信息

Fudan University Shanghai Cancer Center and Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, 200032, China.

Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, China.

出版信息

Biomark Res. 2022 Apr 26;10(1):27. doi: 10.1186/s40364-022-00377-1.

Abstract

The production of functional mature RNA transcripts from genes undergoes various pre-transcriptional regulation and post-transcriptional modifications. Accumulating studies demonstrated that gene transcription carries out in tissue and cancer type-dependent ways. However, RNA transcript-level specificity analysis in large-scale transcriptomics data across different normal tissue and cancer types is lacking. We applied reference-based de novo transcript assembly and quantification of 27,741 samples across 33 cancer types, 29 tissue types, and 25 cancer cell line types. We totally identified 231,836 specific RNA transcripts (SRTs) across various tissue and cancer types, most of which are found independent of specific genes. Almost half of tumor SRTs are also tissue-specific but in different tissues. Furthermore, we found that 10 ~ 20% of tumor SRTs in most tumor types were testis-specific. The SRT database (SRTdb) was constructed based on these resources. Taking liver cancer as an example, we showed how SRTdb resource is utilized to optimize the identification of RNA transcripts for more precision diagnosis of particular cancers. Our results provide a useful resource for exploring transcript specificity across various cancer and tissue types, and boost the precision medicine for tumor patients.

摘要

基因功能成熟RNA转录本的产生经历了各种转录前调控和转录后修饰。越来越多的研究表明,基因转录以组织和癌症类型依赖的方式进行。然而,缺乏对不同正常组织和癌症类型的大规模转录组学数据中的RNA转录本水平特异性分析。我们应用基于参考的从头转录本组装和定量方法,对33种癌症类型、29种组织类型和25种癌细胞系类型的27,741个样本进行了分析。我们在各种组织和癌症类型中总共鉴定出231,836个特异性RNA转录本(SRT),其中大部分与特定基因无关。几乎一半的肿瘤SRT也是组织特异性的,但存在于不同组织中。此外,我们发现大多数肿瘤类型中10%至20%的肿瘤SRT是睾丸特异性的。基于这些资源构建了SRT数据库(SRTdb)。以肝癌为例,我们展示了如何利用SRTdb资源优化RNA转录本的鉴定,以更精确地诊断特定癌症。我们的结果为探索各种癌症和组织类型的转录本特异性提供了有用的资源,并推动了肿瘤患者的精准医学发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366e/9044872/906dda0891ad/40364_2022_377_Fig1_HTML.jpg

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