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Related Experiment Video

Updated: Mar 22, 2026

Single-molecule Imaging of Gene Regulation In vivo Using Cotranslational Activation by Cleavage CoTrAC

Single-molecule Imaging of Gene Regulation In vivo Using Cotranslational Activation by Cleavage CoTrAC

Published on: March 15, 2013

TimeVault: A molecular time machine for single cells.

Jasmine T Plummer¹

¹Center for Spatial Omics, St. Jude Children's Research Hospital, Memphis, TN, USA; Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, USA; Department of Cellular and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, USA; Comprehensive Cancer Center, St. Jude Children's Research Hospital, Memphis, TN, USA.

|March 20, 2026

Summary

This summary is machine-generated.

Researchers can now reconstruct past cellular states using TimeVault, an innovative method that tracks molecular history during cell division and differentiation. This technique offers a dynamic alternative to traditional single-cell RNA sequencing snapshots.

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Last Updated: Mar 22, 2026

Single-molecule Imaging of Gene Regulation In vivo Using Cotranslational Activation by Cleavage CoTrAC

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Published on: March 15, 2013

Probing mRNA Kinetics in Space and Time in Escherichia coli using Two-Color Single-Molecule Fluorescence In Situ Hybridization

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Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT

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Area of Science:

Molecular Biology
Genomics
Cell Biology

Background:

Conventional single-cell RNA sequencing (scRNA-seq) provides a static snapshot of cellular states.
Understanding dynamic cellular processes like differentiation requires methods that capture temporal information.
Existing methods often fail to preserve molecular history within intact, dividing cells.

Purpose of the Study:

To introduce TimeVault, a novel approach for reconstructing past transcriptional states in cells.
To provide an alternative to scRNA-seq that captures temporal molecular dynamics.
To enable the study of cellular lineage and differentiation trajectories.

Main Methods:

TimeVault leverages the preservation of molecular history within intact cells.
The method allows for the reconstruction of transcriptional states over time, even as cells divide.
It overcomes the limitations of terminal snapshots provided by conventional scRNA-seq.

Main Results:

TimeVault successfully reconstructs past transcriptional states in dividing and differentiating cells.
The approach preserves crucial molecular information that is lost in traditional sequencing methods.
Researchers can now analyze cellular history and developmental trajectories with greater accuracy.

Conclusions:

TimeVault offers a significant advancement in understanding cellular dynamics and developmental processes.
This technique provides a powerful new tool for molecular and cell biology research.
It opens new avenues for studying cell fate decisions and lineage tracing.