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.
Authors
- Peifeng Ji (ORCID: https://orcid.org/0000-0001-6380-7416)
- Shujun Ye (ORCID: https://orcid.org/0000-0002-4621-8887)
- Zhenqiang Zuo (ORCID: https://orcid.org/0000-0003-0496-2437)
- Zhengyi Cai (ORCID: https://orcid.org/0009-0002-4150-4734)
- Fangqing Zhao (ORCID: https://orcid.org/0000-0002-6216-1235)
- Yang Liu (ORCID: https://orcid.org/0000-0002-8070-2154)
- MA Lian-jun
- Jinyang Zhang (ORCID: https://orcid.org/0000-0002-5163-894X)
- Lingling Hou
Institutions
- 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)
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
Funders
- National Natural Science Foundation of China
- National Natural Science Foundation of China-Yunnan Joint Fund