category
bioRxiv
date
Feb 20, 2026
slug
status
Published
summary
创新性地采用par-seqFISH技术实现单噬菌体水平的转录分析,发现裂解与溶原细胞中噬菌体活动的异质性,揭示噬菌体共识活性与细胞休眠的关联,突破传统群体水平研究的局限性。
tags
测序技术
空间组学
type
Post

📄 原文题目

Single-phage profiling illuminates viral individuality during cell fate determination

🔗 原文链接

💡 AI 核心解读

创新性地采用par-seqFISH技术实现单噬菌体水平的转录分析,发现裂解与溶原细胞中噬菌体活动的异质性,揭示噬菌体共识活性与细胞休眠的关联,突破传统群体水平研究的局限性。

📝 英文原版摘要

The choice between cell death (lysis) and viral dormancy (lysogeny) following bacteriophage infection serves as a founding paradigm for the emergence of cellular heterogeneity in a genetically uniform population. The determination of host fate arises through the stochastic transcription from multiple viral genomes present within each cell, but this activity remains hidden from empirical interrogation, which typically stops at the whole-cell level. Here we use parallel sequential fluorescence in situ hybridization (par-seqFISH), followed by spatial clustering of phage-encoded transcripts within each cell, to profile the transcriptional activity of individual phages during synchronized infection of Escherichia coli (E. coli) by bacteriophage lambda. At the whole-cell level, transcription kinetics capture the developmental choice between lysis and lysogeny, and further demonstrate that viral replication is required for the emergence of diverging fate decisions. Zooming in to the single-phage level illuminates an individuality of viral activity during infection. We find that, while cells pursuing lysogeny display consensus activity of all inhabiting phages, lytic cells may contain phages that exhibit lysogenic activity. These findings support an earlier suggestion that consensus among coinfecting phages is required for cell dormancy. More broadly, our results highlight the need to identify how whole-cell behavior emerges from the activity of physically distinct copies of the same genetic circuit.
无序多肽的分析与设计:优化序列模式特性青少年大脑多模态单细胞图谱揭示连接发育与疾病风险的基因调控网络
Loading...