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

You might also read

Related Articles

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

Sort by

Same author

Pathogenic variation in human DNA damage repair genes was originated from the evolutionary process of modern humans.

Genes & diseases·2026

Same author

Breast Cancer: Molecular Pathogenesis, Targeted Therapy, Screening, and Prevention.

MedComm·2026

Same author

Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.

Briefings in bioinformatics·2024

Same author

A global perspective on the ethnic-specific <i>BRCA</i> variation and its implication in clinical application.

Journal of the National Cancer Center·2024

Same author

Pathogenic variants in human DNA damage repair genes mostly arose after the latest human out-of-Africa migration.

Frontiers in genetics·2024

Same author

Using Portuguese BRCA pathogenic variation as a model to study the impact of human admixture on human health.

BMC genomics·2024

Same journal

Beyond housekeeping: snRNA diversity, regulation, and human disease.

Trends in genetics : TIG·2026

Same journal

Rethinking mitochondrial metabolism: Intraindividual variability meets population constraints.

Trends in genetics : TIG·2026

Same journal

A role for epigenetics in rapid adaptation.

Trends in genetics : TIG·2026

Same journal

The myth of asexual fungi.

Trends in genetics : TIG·2026

Same journal

Rethinking molecular evolution through protein language model embeddings.

Trends in genetics : TIG·2026

Same journal

Co-transcriptional splicing: Distinct phases, mutual benefits, and basis for nuclear architecture.

Trends in genetics : TIG·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 17, 2025

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

Understanding SAGE data.

San Ming Wang¹

¹Center for Functional Genomics, ENH Research Institute, Robert H. Lurie Comprehensive Cancer Center, Northwestern University, 1001 University Place, Evanston, IL 60201, USA. swang1@northwestern.edu

Trends in Genetics : TIG

|November 18, 2006

Summary

This summary is machine-generated.

Serial analysis of gene expression (SAGE) quantifies gene transcripts in eukaryotic genomes. This review explores SAGE data features, aiding interpretation for biological and medical research.

More Related Videos

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

Related Experiment Videos

Last Updated: Dec 17, 2025

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Serial analysis of gene expression (SAGE) is a widely used method for transcript identification and quantification.
Vast SAGE datasets and over a thousand publications highlight its significance in biological and medical studies since the mid-1990s.
SAGE principles have evolved for analyzing normal gene structure and abnormal genomic changes.

Purpose of the Study:

To review the general features of SAGE data.
To discuss SAGE tag specificity, quantitative accuracy, reproducibility, and comparability with microarray technology.
To explore the future potential of SAGE in research.

Main Methods:

Review of existing SAGE literature and data.
Analysis of SAGE tag characteristics and data properties.
Comparative assessment of SAGE with other gene expression profiling techniques.

Main Results:

SAGE tags exhibit specificity to their original transcripts.
SAGE data provides quantitative insights into differentially expressed genes.
SAGE demonstrates reproducibility and comparability with microarray data, with significant future potential.

Conclusions:

Understanding SAGE data features is crucial for accurate interpretation.
SAGE is a valuable tool for addressing biological and medical questions through gene expression analysis.
The continued evolution and application of SAGE promise further advancements in genomic research.