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

• Main Authors: Qili Shi (Author), Teng Liu (Author), Wei Hu (Author), Zhiao Chen (Author), Xianghuo He (Author), Shengli Li (Author)
• Format: Book
• Published: BMC, 2022-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s40364-022-00377-1; 2050-7771
• Keywords: RNA transcript; Pan-cancer analysis; Transcriptional diversity; Precision tumor diagnosis; Tissue specificity analysis; Therapeutics. Pharmacology; RM1-950
• Source: Biomarker Research, Vol 10, Iss 1, Pp 1-11 (2022)

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.