Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA-seq03:21

RNA-seq

12.2K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.2K
Ribosome Profiling02:24

Ribosome Profiling

4.2K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.2K
Next-generation Sequencing03:00

Next-generation Sequencing

99.5K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
99.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq.

Nature biotechnology·2026
Same author

Microfluidic point-of-care testing for antimicrobial resistance: advances, strategies, and One Health perspectives.

Science in One Health·2026
Same author

Cyclic transformation of stable/metastable nucleic acid structures enables dynamic monitoring of ATP in living cells.

Chemical science·2026
Same author

Development and field evaluation of a multiplex qPCR assay for environmental DNA detection of Schistosoma mekongi and its intermediate snail host Neotricula aperta in the Mekong River Basin.

Infectious diseases of poverty·2026
Same author

Dual-Spatially Confined Assembly of DNA Nanowall Stiffens Tumor Cells to Enhance Adoptive T-Cell Immunotherapy.

Journal of the American Chemical Society·2026
Same author

Tracing Tumor-Derived Extracellular Vesicle Matrix Metalloproteinase 14 Using Dual-Target Orthogonal Barcoding-Based Microscale Thermophoretic Assays.

ACS nano·2026
Same journal

Taming Irreversibility in sp<sup>2</sup>-Carbon-Conjugated COFs from Polycrystalline Powders to Single Crystals and Thin Films.

Accounts of chemical research·2026
Same journal

Electroactive Imidazolium Ionic Liquids in Organic Synthesis.

Accounts of chemical research·2026
Same journal

Calix[4]resorcinarene-Based Porous Organic Cages: Synthesis and Applications.

Accounts of chemical research·2026
Same journal

Light-Driven Dual Rotary Molecular Motors and Beyond.

Accounts of chemical research·2026
Same journal

Small Molecule Activators of Antitumor Immunity.

Accounts of chemical research·2026
Same journal

Confinement-Driven Anomalous Behaviors for Diffusion in Zeolites: Mechanisms and Beyond.

Accounts of chemical research·2026
See all related articles

Related Experiment Video

Updated: Mar 1, 2026

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

27.9K

Metabolic RNA Labeling-Enabled Time-Resolved Single-Cell RNA Sequencing.

Kun Yin1,2, Shichao Lin1, Chaoyong Yang1,2

  • 1MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Fujian Key Laboratory of Chemical Biology, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.

Accounts of Chemical Research
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

Metabolic RNA labeling with single-cell RNA sequencing (scRNA-seq) reveals dynamic gene expression. New methods like Well-TEMP-seq and scDUAL-seq improve RNA dynamics profiling in cells and animals.

More Related Videos

Extremely Rapid and Specific Metabolic Labelling of RNA In Vivo with 4-Thiouracil Ers4tU
11:46

Extremely Rapid and Specific Metabolic Labelling of RNA In Vivo with 4-Thiouracil Ers4tU

Published on: August 22, 2019

11.7K
Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons
12:20

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Published on: August 6, 2014

12.2K

Related Experiment Videos

Last Updated: Mar 1, 2026

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

27.9K
Extremely Rapid and Specific Metabolic Labelling of RNA In Vivo with 4-Thiouracil Ers4tU
11:46

Extremely Rapid and Specific Metabolic Labelling of RNA In Vivo with 4-Thiouracil Ers4tU

Published on: August 22, 2019

11.7K
Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons
12:20

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Published on: August 6, 2014

12.2K

Area of Science:

  • Molecular Biology
  • Genomics
  • Biochemistry

Background:

  • Cellular gene expression is heterogeneous and dynamic, crucial for understanding health and disease.
  • Single-cell RNA sequencing (scRNA-seq) provides snapshots but lacks temporal resolution for RNA dynamics.
  • Understanding RNA synthesis, degradation, and cell fate requires time-resolved gene expression data.

Purpose of the Study:

  • To review advances in metabolic RNA labeling-based time-resolved scRNA-seq.
  • To highlight methods for profiling RNA dynamics at the single-cell level.
  • To discuss future directions for chemical tools in RNA dynamics research.

Main Methods:

  • Integration of metabolic RNA labeling (e.g., 4-thioridine) with scRNA-seq platforms.
  • Development of Well-TEMP-seq for improved throughput, efficiency, and cost-effectiveness.
  • Implementation of scDUAL-seq for simultaneous monitoring of RNA synthesis and degradation.
  • Application of in vivo metabolic RNA labeling (Dyna-vivo-seq) in animal models.
  • Integration of time-resolved scRNA-seq with spatial transcriptomics for spatiotemporal analysis.

Main Results:

  • Metabolic RNA labeling enables unbiased capture of RNA dynamics for thousands of genes.
  • Well-TEMP-seq enhances performance and reduces costs of time-resolved scRNA-seq.
  • scDUAL-seq accurately measures RNA kinetics and reveals interplay between RNA synthesis and degradation.
  • Dyna-vivo-seq extends single-cell RNA dynamics studies to living organisms.
  • Spatiotemporal integration provides insights into gene regulation within tissue microenvironments.

Conclusions:

  • Metabolic RNA labeling-based scRNA-seq is a powerful tool for dissecting cellular heterogeneity and dynamics.
  • Recent technological advancements offer unprecedented insights into RNA regulatory mechanisms.
  • Future development of chemical tools is essential for advancing single-cell RNA dynamics profiling and biomedical applications.