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

Complementary DNA01:44

Complementary DNA

Overview
RNA-seq03:21

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 microarray-based...
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...

You might also read

Related Articles

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

Sort by
Same author

Nrxn3 reduces myofascial nociceptive pain.

Neurobiology of pain (Cambridge, Mass.)·2025
Same author

Neurexin 3 Regulates Synaptic Connections Between Central Amygdala Neurons and Excitable Cells of the Lateral Parabrachial Nucleus in Rats with Varicella Zoster Induced Orofacial Pain.

Journal of pain research·2024
Same author

PAQR8 and PAQR9 expression is altered in the ventral tegmental area of aged rats infected with varicella zoster virus.

Molecular pain·2023
Same author

Intracranial calcification in Fam20c-deficient mice recapitulates human Raine syndrome.

Neuroscience letters·2023
Same author

Sex Differences in the Role of Neurexin 3α in Zoster Associated Pain.

Frontiers in integrative neuroscience·2022
Same author

Neurexin 3α in the Central Amygdala has a Role in Orofacial Varicella Zoster Pain.

Neuroscience·2022
Same journal

Simultaneous Ca<sup>2+</sup> Imaging and Optogenetic Stimulation of Cortical Astrocytes in Adult Murine Brain Slices.

Current protocols in neuroscience·2020
Same journal

Automated Two-Chamber Operon ID/ED Task for Mice.

Current protocols in neuroscience·2020
Same journal

A Guide to Fluorescence Lifetime Microscopy and Förster's Resonance Energy Transfer in Neuroscience.

Current protocols in neuroscience·2020
Same journal

Development, Screening, and Validation of Camelid-Derived Nanobodies for Neuroscience Research.

Current protocols in neuroscience·2020
Same journal

Recombinant Antibodies in Basic Neuroscience Research.

Current protocols in neuroscience·2020
Same journal

Automated Quantification of Mitochondrial Fragmentation in an In Vitro Parkinson's Disease Model.

Current protocols in neuroscience·2020
See all related articles

Related Experiment Video

Updated: Jul 5, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

cDNA library construction from single cells.

Phillip R Kramer1

  • 1NIH, NINDS, CDNS, Bethesda, Maryland, USA.

Current Protocols in Neuroscience
|April 23, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a single-cell gene expression analysis protocol. It helps identify molecules activated by cellular programs or treatments in individual cells.

More Related Videos

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
09:45

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
14:49

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Published on: October 27, 2011

Related Experiment Videos

Last Updated: Jul 5, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
09:45

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
14:49

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Published on: October 27, 2011

Area of Science:

  • Molecular Biology
  • Genomics
  • Cell Biology

Background:

  • Gene expression analysis is crucial for understanding cellular responses.
  • Comparing gene expression patterns aids in identifying key molecules.
  • Existing methods may not offer single-cell resolution.

Purpose of the Study:

  • To present a protocol for single-cell gene expression analysis.
  • To enable the identification of molecules activated by specific cellular programs.
  • To facilitate the study of molecular responses to physiological or pharmacological treatments at the single-cell level.

Main Methods:

  • Detailed protocol for single-cell analysis.
  • Method for comparing gene expression patterns.
  • Techniques for molecule identification.

Main Results:

  • A validated protocol for single-cell gene expression analysis.
  • Demonstration of identifying molecules activated by cellular programs.
  • Application in studying responses to treatments.

Conclusions:

  • Single-cell gene expression analysis is feasible and informative.
  • This protocol allows for precise identification of activated molecules.
  • The method advances the understanding of cellular mechanisms.