转录组
计算生物学
RNA序列
细胞生物学
生物
计算机科学
遗传学
基因
基因表达
作者
Jinyang Zhang,Lingling Hou,MA Lian-jun,Zhengyi Cai,Shujun Ye,Yang Liu,Peifeng Ji,Zhenqiang Zuo,Fangqing Zhao
标识
DOI:10.1038/s41556-024-01537-1
摘要
The high diversity and complexity of the eukaryotic transcriptome make it difficult to effectively detect specific transcripts of interest. Current targeted RNA sequencing methods often require complex pre-sequencing enrichment steps, which can compromise the comprehensive characterization of the entire transcriptome. Here we describe programmable full-length isoform transcriptome sequencing (PROFIT-seq), a method that enriches target transcripts while maintaining unbiased quantification of the whole transcriptome. PROFIT-seq employs combinatorial reverse transcription to capture polyadenylated, non-polyadenylated and circular RNAs, coupled with a programmable control system that selectively enriches target transcripts during sequencing. This approach achieves over 3-fold increase in effective data yield and reduces the time required for detecting specific pathogens or key mutations by 75%. We applied PROFIT-seq to study colorectal polyp development, revealing the intricate relationship between host immune responses and bacterial infection. PROFIT-seq offers a powerful tool for accurate and efficient sequencing of target transcripts while preserving overall transcriptome quantification, with broad applications in clinical diagnostics and targeted enrichment scenarios. Zhang, Hou, Ma et al. present PROFIT-seq, a sequencing strategy that involves adaptive sampling of transcriptome libraries to enrich genes of interest and allows unbiased quantification of the whole transcriptome.
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