Related Experiment Video
Updated: May 21, 2026

09:18
A Comparative Study of Drug Delivery Methods Targeted to the Mouse Inner Ear: Bullostomy Versus Transtympanic Injection
Published on: March 8, 2017
High throughput gene expression analysis of the inner ear.
1Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland, 16 S Eutaw St. Suite 500, Baltimore, MD 21201, USA. rhertzano@smail.umaryland.edu
Hearing Research
|June 20, 2012
Summary
This review examines microarray gene expression data from mouse inner ear studies over the past decade. Integrating this data can reveal new insights into auditory and vestibular function and dysfunction.
Area of Science:
- Genomics
- Neuroscience
- Otolaryngology
Background:
- The inner ear's auditory and vestibular epithelia comprise diverse cell types.
- Microarray technology has been extensively used to profile gene expression in the mouse inner ear over the last decade.
- Previous studies identified deafness genes, developmental transcriptional networks, and functional microRNAs (miRNAs).
Purpose of the Study:
- To critically review microarray-generated gene expression data for the inner ear.
- To explore the potential of integrating existing data for novel discoveries.
- To provide a comprehensive overview of inner ear gene expression research using microarrays.
Main Methods:
- Review of published microarray studies on mouse inner ear gene expression.
- Analysis of data available in the Gene Expression Omnibus (GEO) database.
- Demonstration of data integration techniques for independent experiments.
Main Results:
- Microarray studies have characterized gene expression related to inner ear development, deafness genes, and responses to various stimuli.
- Significant data exists in public repositories like GEO.
- Data integration is feasible and can yield new biological insights.
Conclusions:
- Microarray data provides a valuable resource for understanding inner ear biology.
- Integrating data from independent experiments can uncover novel findings.
- This review highlights the utility and future potential of leveraging existing gene expression datasets for inner ear research.

