Real-time and programmable transcriptome sequencing with PROFIT-seq

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.

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Publication Details

Journal
Nature Cell Biology
Published
2024-10-23
DOI
https://doi.org/10.1038/s41556-024-01537-1
Citations
8
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
1.87

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article

Real-time and programmable transcriptome sequencing with PROFIT-seq

Peifeng Ji, Shujun Ye, Zhenqiang Zuo, Zhengyi Cai et al.
8 citations
Nature Cell Biology
RNA modifications and cancer
1.87
article

Real-time and programmable transcriptome sequencing with PROFIT-seq

Peifeng Ji, Shujun Ye, Zhenqiang Zuo, Zhengyi Cai, Fangqing Zhao, Yang Liu, MA Lian-jun, Jinyang Zhang, Lingling Hou
article en
8 citations

Abstract

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.

Nature Cell BiologyVol. 26(12)
Jilin University (CN), Chinese Academy of Sciences (CN), Institute for Advanced Study (DE), Union Hospital (CN), University of Chinese Academy of Sciences (CN), Institute of Zoology (CN)
National Natural Science Foundation of China, National Natural Science Foundation of China-Yunnan Joint Fund
Openalex Percentile: Top 14%
RNA modifications and cancer
1.87
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