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What is Gene Expression?

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...

Reporter Genes

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...

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Updated: May 14, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures.

Fei Li¹, Yang Cao, Lu Han

¹Beijing Institute of Radiation Medicine, Beijing, People's Republic of China.

Omics : a Journal of Integrative Biology

|February 5, 2013

Summary

This summary is machine-generated.

The GeneExpressionSignature R package aids in analyzing gene expression data to uncover biological connections. This tool supports large-scale studies and has potential applications in drug discovery.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Gene expression signatures offer insights into cellular responses.
Analyzing these signatures is crucial for understanding biological events.
Large-scale analysis requires specialized computational tools.

Purpose of the Study:

To introduce GeneExpressionSignature, an R package for large-scale gene expression signature analysis.
To provide a flexible tool for researchers studying gene expression patterns.
To highlight the potential of gene expression signature analysis in biomedical research, including drug repurposing.

Main Methods:

The GeneExpressionSignature package implements two rank-merging algorithms.
It also incorporates two similarity-scoring algorithms for comprehensive analysis.
The package is designed for efficient and scalable analysis of gene expression data.

Main Results:

GeneExpressionSignature facilitates the exploration of functional connections between biological events.
The package offers a flexible framework for various gene expression signature-based studies.
Demonstrates the utility of the package in identifying potential drug repurposing candidates.

Conclusions:

GeneExpressionSignature is a valuable R package for large-scale gene expression signature analysis.
Its algorithms and functions provide a robust solution for complex biological studies.
The tool holds significant promise for advancing biomedical research and drug discovery.