Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

RNA-seq

RNA-seq

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...

Next-generation Sequencing

Next-generation Sequencing

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....

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

Characterizing the Compound Extreme Temperature and PM<sub>2.5</sub> Pollution Events: A Multi-Country Analysis.

GeoHealth·2026

Same author

Corrigendum to 'Design and development of lab-on-a-centrifuge based on liquid-core waveguide enhancement technology for colorimetric detection of soil Cr(VI) from sample-to-answer' [Talanta 305 (2026), 129673].

Talanta·2026

Same author

A Comparative Analysis of Wildland Fire Smoke PM<sub>2.5</sub> Exposure Estimates Across California From 2008 to 2018.

GeoHealth·2026

Same author

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

Chemical science·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 journal

Recent progress in catalytic asymmetric synthesis of triarylmethanes.

Chemical science·2026

Same journal

GFP chromophore photophysics: ultrafast dynamics and hot ground state cooling in the neutral form.

Chemical science·2026

Same journal

Large Stokes shift fluorophores from <i>meta</i>-substituted zwitterions.

Chemical science·2026

Same journal

<i>In situ</i> glycosylation-directed H-aggregation of Type I photosensitizers for synergistic biofilm eradication and promoting diabetic wound healing.

Chemical science·2026

Same journal

Substituent engineering of dynamic covalent bonds enables simultaneous enhancement of performance and recyclability.

Chemical science·2026

Same journal

Visible-light-enabled three-component carboamidation of alkenes with aryl thianthrenium salts.

Chemical science·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 7, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Time-resolved single-cell transcriptomic sequencing.

Xing Xu^1,2, Qianxi Wen¹, Tianchen Lan¹

¹The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China cyyang@xmu.edu.cn.

Chemical Science

|November 21, 2024

Summary

This summary is machine-generated.

Time-resolved single-cell RNA sequencing (scRNA-seq) methods are crucial for tracking cell changes over time. This review explores experimental strategies for adding a "time anchor" to scRNA-seq to accurately capture dynamic gene expression patterns.

More Related Videos

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Reusable Single Cell for Iterative Epigenomic Analyses

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

Related Experiment Videos

Last Updated: Jun 7, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Reusable Single Cell for Iterative Epigenomic Analyses

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

Area of Science:

Molecular Biology
Genomics
Cell Biology

Background:

Cells undergo continuous transformation in physiological and pathological states.
Single-cell RNA sequencing (scRNA-seq) reveals cellular disparities but struggles to link cell states across time points.
Computational trajectory analysis of scRNA-seq data relies on assumptions and may not reflect true cellular dynamics.

Purpose of the Study:

To comprehensively review time-resolved single-cell transcriptomic sequencing methodologies and applications.
To highlight the necessity of incorporating a "time anchor" into scRNA-seq for temporal documentation of dynamic expression patterns.
To provide a forward-looking perspective on advancements in time-resolved single-cell transcriptomics.

Main Methods:

Introduction to various scRNA-seq approaches as the foundation for single-cell expression profiling.
Focus on experimental strategies for introducing a "time anchor" to scRNA-seq, detailing principles, strengths, and weaknesses.
Comparison of the adaptability of different time-anchored scRNA-seq methods in various scenarios.

Main Results:

Overview of diverse scRNA-seq techniques.
Detailed analysis of experimental strategies for temporal profiling using "time anchors".
Summary of applications in immunity, cancer, and embryonic development.

Conclusions:

Time-resolved scRNA-seq with "time anchors" is essential for accurately studying dynamic cellular processes.
The reviewed methodologies offer improved temporal resolution compared to purely computational approaches.
Future advancements promise enhanced capabilities for understanding complex biological systems over time.