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 Experiment Video

Updated: Jun 3, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Development and applications of single-cell transcriptome analysis.

Fuchou Tang1, Kaiqin Lao, M Azim Surani

  • 1Wellcome Trust/Cancer Research UK Gurdon Institute of Cancer and Developmental Biology, University of Cambridge, Cambridge, UK.

Nature Methods
|April 1, 2011
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Epigenetic Dynamics of Human Spermatogenesis and Their Dysregulation in Non-Obstructive Azoospermia.

Protein & cell·2026
Same author

NELFA supports naïve pluripotency and drives 8C-like state in human embryonic stem cells.

Nature communications·2026
Same author

Systematic Identification of Molecular Signatures Dictating Therapeutic Effects of Clinically First-Line Chemotherapy Regimens for Human Gastric Cancer Patients Based on Organoid Model.

MedComm·2026
Same author

Rising Star: Single Cell Omics Technologies: When Whole Omics Analysis Meets Single Cell Resolution.

Journal of molecular biology·2026
Same author

A targeted DNA methylation method for detecting gastrointestinal cancer in circulating cell-free DNA.

iScience·2026
Same author

A post-implantation model of human embryo development includes a definitive hematopoietic niche.

Cell reports·2025
Same journal

ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.

Nature methods·2026
Same journal

RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.

Nature methods·2026
Same journal

Spatio-DARLIN enables robust and efficient in situ lineage tracing in mice at single-cell resolution.

Nature methods·2026
Same journal

EasyGrid: a versatile platform for automated cryo-EM sample preparation and quality control.

Nature methods·2026
Same journal

Cloud-based microscope enables live neuroimaging for 24 h and beyond with worldwide access.

Nature methods·2026
Same journal

Deep molecular profiling in three dimensions.

Nature methods·2026
See all related articles

Single-cell transcriptome analysis links genes to traits, advancing developmental biology and medicine. This review covers its history, applications, and future potential for understanding cell function and disease.

Area of Science:

  • Developmental Biology
  • Genetics
  • Genomics
  • Medicine

Background:

  • Understanding the genotype-phenotype link is crucial in biology and medicine.
  • Transcriptome analysis offers a method to connect cellular genotype to phenotype.
  • Single-cell transcriptome analysis provides high-resolution gene expression data.

Observation:

  • This review examines the history, progress, and applications of single-cell transcriptome analysis.
  • It highlights the integration of single-cell transcriptome analysis with live cell imaging and lineage tracing.
  • The potential to decipher gene expression networks in individual cells is explored.

Findings:

  • Single-cell transcriptome analysis has evolved significantly, offering powerful insights.

More Related Videos

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
08:30

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

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

Related Experiment Videos

Last Updated: Jun 3, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
08:30

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

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

  • Combining techniques allows for a comprehensive view of cellular gene expression.
  • The technology is poised for further advancements and broader applications.

    • Implications:

    • Enables detailed study of physiological functions in individual cells across development.
    • Facilitates understanding of disease mechanisms at the cellular level.
    • Paves the way for personalized medicine and targeted therapeutic strategies.