Synthetic Storage of Transcripts Captures Hidden States Driving Drug Resistance

Measuring how gene expression changes over time is essential for dissecting development, cellular plasticity, and disease progression, yet most transcriptomic methods capture only static snapshots. Consequently, transient transcriptional states that shape tumor evolution or therapeutic resistance often go undetected. Recent molecular recording strategies, including CRISPR-based synthetic memory systems, have begun to address this challenge but remain limited in scalability and resolution. Chao and colleagues introduce TimeVault, a synthetic system that enables long-term intracellular storage of transcriptomes for retrospective analysis in living cells. TimeVault repurposes cytoplasmic vault particles to sequester polyadenylated mRNAs, preserving a record of past gene expression states without disrupting normal cellular function. RNA sequencing revealed that TimeVault captures transcriptomes with high reproducibility and minimal bias relative to cytosolic RNA. Notably, transcripts stored in TimeVault remained stable for several days after terminating TimeVault expression, supporting its utility for temporal recording. To explore the relevance of temporal transcriptomic recording in cancer drug resistance, TimeVault was applied to uncover transcriptomic features of drug-naïve persister cells. In EGFR-mutant PC9 lung adenocarcinoma cells treated with the EGFR inhibitor osimertinib, TimeVault analysis revealed that persister cells were enriched for oxidative phosphorylation signatures, consistent with established chemoresistance programs. Notably, genes defining the pre-drug persister state were downregulated after treatment, underscoring the importance of capturing past transcriptional states. Single-cell RNA sequencing analysis identified corresponding persister subpopulations, and RNAi-mediated targeting of pre-drug markers enhanced osimertinib sensitivity. Together, these findings introduce the advancement of TimeVault, a tool to bridge past gene expression with cellular outcomes, achieved through the clever repurposing of vault organelles. Although the native function of the vault remains enigmatic, this technology can reveal potentially clinically relevant trajectories that underlie cancer progression and therapeutic response.Chao Y-K, Wu M, Gong Q, Chen F. A genetically encoded device for transcriptome storage in mammalian cells. Science 2026 Jan 15 [Epub ahead of print].Note: Research Watch is written by Cancer Discovery editorial staff. Readers are encouraged to consult the original articles for full details. For more Research Watch, visit Cancer Discovery online at https://aacrjournals.org/cdnews.

Publication Details

Journal
Cancer Discovery
Published
2026-02-02
DOI
https://doi.org/10.1158/2159-8290.cd-rw2026-017
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Synthetic Storage of Transcripts Captures Hidden States Driving Drug Resistance

Cancer Discovery
Single-cell and spatial transcriptomics
article

Synthetic Storage of Transcripts Captures Hidden States Driving Drug Resistance

article en

Abstract

Measuring how gene expression changes over time is essential for dissecting development, cellular plasticity, and disease progression, yet most transcriptomic methods capture only static snapshots. Consequently, transient transcriptional states that shape tumor evolution or therapeutic resistance often go undetected. Recent molecular recording strategies, including CRISPR-based synthetic memory systems, have begun to address this challenge but remain limited in scalability and resolution. Chao and colleagues introduce TimeVault, a synthetic system that enables long-term intracellular storage of transcriptomes for retrospective analysis in living cells. TimeVault repurposes cytoplasmic vault particles to sequester polyadenylated mRNAs, preserving a record of past gene expression states without disrupting normal cellular function. RNA sequencing revealed that TimeVault captures transcriptomes with high reproducibility and minimal bias relative to cytosolic RNA. Notably, transcripts stored in TimeVault remained stable for several days after terminating TimeVault expression, supporting its utility for temporal recording. To explore the relevance of temporal transcriptomic recording in cancer drug resistance, TimeVault was applied to uncover transcriptomic features of drug-naïve persister cells. In EGFR-mutant PC9 lung adenocarcinoma cells treated with the EGFR inhibitor osimertinib, TimeVault analysis revealed that persister cells were enriched for oxidative phosphorylation signatures, consistent with established chemoresistance programs. Notably, genes defining the pre-drug persister state were downregulated after treatment, underscoring the importance of capturing past transcriptional states. Single-cell RNA sequencing analysis identified corresponding persister subpopulations, and RNAi-mediated targeting of pre-drug markers enhanced osimertinib sensitivity. Together, these findings introduce the advancement of TimeVault, a tool to bridge past gene expression with cellular outcomes, achieved through the clever repurposing of vault organelles. Although the native function of the vault remains enigmatic, this technology can reveal potentially clinically relevant trajectories that underlie cancer progression and therapeutic response.Chao Y-K, Wu M, Gong Q, Chen F. A genetically encoded device for transcriptome storage in mammalian cells. Science 2026 Jan 15 [Epub ahead of print].Note: Research Watch is written by Cancer Discovery editorial staff. Readers are encouraged to consult the original articles for full details. For more Research Watch, visit Cancer Discovery online at https://aacrjournals.org/cdnews.

Cancer DiscoveryVol. 16(3)
Good health and well-being
Openalex Percentile: Top 69%
Single-cell and spatial transcriptomics
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