Research Topic · Peer-Reviewed

Gene Expression Profiling

Gene expression profiling is a set of laboratory techniques that measure the activity of many genes simultaneously by quantifying messenger RNA transcripts, producing a snapshot of which genes are switched on or off in a cell, tissue, or organism under specific conditions. By capturing transcriptional state on a gen…

Curated from this journal's research 📚 5 peer-reviewed articles cited Cited 8× across the literature 🔖 ISSN 2326-0793 🗓 Reviewed July 2026

Overview

Gene expression profiling is a set of laboratory techniques that measure the activity of many genes simultaneously by quantifying messenger RNA transcripts, producing a snapshot of which genes are switched on or off in a cell, tissue, or organism under specific conditions. By capturing transcriptional state on a genome-wide scale, profiling reveals the molecular programs underlying development, disease, and response to treatment. Core platforms include hybridization-based DNA microarrays and, increasingly, high-throughput RNA sequencing, which offers broader dynamic range and the ability to detect novel transcripts, splice variants, and low-abundance RNAs; single-cell methods extend this resolution to individual cells. Analysis relies on bioinformatics for normalization, identification of differentially expressed genes, clustering, and pathway and network enrichment, often integrated with genomic and proteomic data to interpret biological meaning. In medical research, expression profiles are used to classify tumors and other diseases, discover diagnostic and prognostic biomarkers, characterize immune responses in cancer and infection, and define molecular subtypes that inform personalized and precision medicine. Profiling also illuminates drug mechanisms by revealing transcriptional changes following treatment and supports the study of how environmental and epigenetic factors modulate gene activity. As sequencing costs fall, gene expression profiling remains a foundational tool linking genotype to phenotype.

Research published in this journal

5 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 5 articles above have been cited 8 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Gene Expression Profiling, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Proteomics and Genomics Research (ISSN 2326-0793).

Journal editorial board
Sutopa Dwivedi · United States Liuyang Wang · United States Juan Sainz · Spain

This page summarises published research for orientation; it is not medical or professional advice.