Jinyang Zhang, Lingling Hou, Lianjun Ma, Zhengyi Cai, Shujun Ye, Yang Liu, Peifeng Ji, Zhenqiang Zuo, Fangqing Zhao
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引用次数: 0
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.
期刊介绍:
Nature Cell Biology, a prestigious journal, upholds a commitment to publishing papers of the highest quality across all areas of cell biology, with a particular focus on elucidating mechanisms underlying fundamental cell biological processes. The journal's broad scope encompasses various areas of interest, including but not limited to:
-Autophagy
-Cancer biology
-Cell adhesion and migration
-Cell cycle and growth
-Cell death
-Chromatin and epigenetics
-Cytoskeletal dynamics
-Developmental biology
-DNA replication and repair
-Mechanisms of human disease
-Mechanobiology
-Membrane traffic and dynamics
-Metabolism
-Nuclear organization and dynamics
-Organelle biology
-Proteolysis and quality control
-RNA biology
-Signal transduction
-Stem cell biology