TimeVault turns vault particles into molecular memory of transcriptional states: how to decode the cellular black box.

IF 3.4 3区 生物学 Q3 CELL BIOLOGY
Cell Cycle Pub Date : 2026-12-01 Epub Date: 2026-03-06 DOI:10.1080/15384101.2026.2639760
Gaetano Santulli
{"title":"TimeVault turns vault particles into molecular memory of transcriptional states: how to decode the cellular black box.","authors":"Gaetano Santulli","doi":"10.1080/15384101.2026.2639760","DOIUrl":null,"url":null,"abstract":"<p><p>Cellular phenotypes are shaped not only by current molecular states but by transient transcriptional programs that encode prior experiences and influence future behavior. Conventional transcriptomic approaches, including bulk and single-cell RNA sequencing, provide high-resolution snapshots of gene expression but are intrinsically destructive, precluding direct linkage between past transcriptional states and downstream cellular fate. In this context, \"TimeVault\" introduces a fundamentally new paradigm by enabling intracellular storage of endogenous transcriptomes within living cells. By repurposing vault ribonucleoprotein particles to sequester and stabilize polyadenylated mRNA, TimeVault preserves unbiased, transcriptome-wide records of transcriptional states over timescales far exceeding native mRNA half-lives. This capability allows retrospective reconstruction of molecular histories that would otherwise be lost, bridging a critical gap between transient gene expression and long-term phenotypic outcomes. Application of TimeVault to canonical stress responses demonstrates precise temporal gating and durable transcript preservation, while its use in cancer models reveals preexisting transcriptional programs that predict drug-tolerant persister cell formation prior to therapy. These findings highlight the power of molecular memory devices to uncover causal relationships that remain invisible to conventional endpoint analyses. TimeVault establishes intracellular transcriptome archiving as a versatile tool with broad implications for developmental biology, stress adaptation, and therapeutic resistance.</p>","PeriodicalId":9686,"journal":{"name":"Cell Cycle","volume":"25 1","pages":"1-4"},"PeriodicalIF":3.4000,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12969733/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Cycle","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/15384101.2026.2639760","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/6 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Cellular phenotypes are shaped not only by current molecular states but by transient transcriptional programs that encode prior experiences and influence future behavior. Conventional transcriptomic approaches, including bulk and single-cell RNA sequencing, provide high-resolution snapshots of gene expression but are intrinsically destructive, precluding direct linkage between past transcriptional states and downstream cellular fate. In this context, "TimeVault" introduces a fundamentally new paradigm by enabling intracellular storage of endogenous transcriptomes within living cells. By repurposing vault ribonucleoprotein particles to sequester and stabilize polyadenylated mRNA, TimeVault preserves unbiased, transcriptome-wide records of transcriptional states over timescales far exceeding native mRNA half-lives. This capability allows retrospective reconstruction of molecular histories that would otherwise be lost, bridging a critical gap between transient gene expression and long-term phenotypic outcomes. Application of TimeVault to canonical stress responses demonstrates precise temporal gating and durable transcript preservation, while its use in cancer models reveals preexisting transcriptional programs that predict drug-tolerant persister cell formation prior to therapy. These findings highlight the power of molecular memory devices to uncover causal relationships that remain invisible to conventional endpoint analyses. TimeVault establishes intracellular transcriptome archiving as a versatile tool with broad implications for developmental biology, stress adaptation, and therapeutic resistance.

TimeVault将vault粒子转化为转录状态的分子记忆:如何解码细胞黑盒子。
细胞表型不仅由当前的分子状态塑造,而且由编码先前经验并影响未来行为的瞬时转录程序塑造。传统的转录组学方法,包括大量和单细胞RNA测序,提供了基因表达的高分辨率快照,但本质上是破坏性的,排除了过去转录状态与下游细胞命运之间的直接联系。在这种情况下,“TimeVault”通过在活细胞内实现内源性转录组的细胞内存储,引入了一种全新的范式。通过重新利用vault核糖核蛋白颗粒来隔离和稳定聚腺苷化的mRNA, TimeVault在远远超过天然mRNA半生期的时间尺度上保存了无偏倚的转录组范围内的转录状态记录。这种能力允许回顾性重建分子历史,否则将丢失,弥合短暂基因表达和长期表型结果之间的关键差距。TimeVault在典型应激反应中的应用证明了精确的时间门控和持久的转录保存,而它在癌症模型中的应用揭示了在治疗前预测耐药持久性细胞形成的预先存在的转录程序。这些发现突出了分子记忆装置揭示因果关系的能力,这些因果关系在传统的终点分析中是看不见的。TimeVault将细胞内转录组存档作为一种多功能工具,在发育生物学、应激适应和治疗抗性方面具有广泛的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cell Cycle
Cell Cycle 生物-细胞生物学
CiteScore
7.70
自引率
2.30%
发文量
281
审稿时长
1 months
期刊介绍: Cell Cycle is a bi-weekly peer-reviewed journal of high priority research from all areas of cell biology. Cell Cycle covers all topics from yeast to man, from DNA to function, from development to aging, from stem cells to cell senescence, from metabolism to cell death, from cancer to neurobiology, from molecular biology to therapeutics. Our goal is fast publication of outstanding research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书