Related Experiment Video
Updated: Aug 29, 2026

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
Published on: March 30, 2019
Targeted cellular process profiling approach for uterine leiomyoma using cDNA microarray, proteomics and gene
Woong Shick Ahn1, Ko-Woon Kim, Su Mi Bae
1Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Abstract:
This study utilized both cDNA microarray and two-dimensional protein gel electrophoresis technology to investigate the multiple interactions of genes and proteins involved in uterine leiomyoma pathophysiology. Also, the gene ontology analysis was used to systematically characterize the global expression profiles at cellular process levels. We profiled differentially expressed transcriptome and proteome in six-paired leiomyoma and normal myometrium. Screening up to 17 000 genes identified 21 upregulated and 50 downregulated genes. The gene-expression profiles were classified into mutually dependent 420 functional sets, resulting in 611 cellular processes according to the gene ontology. Also, protein analysis using two-dimensional gel electrophoresis identified 33 proteins (17 upregulated and 16 downregulated) of more than 500 total spots, which was classified into 302 cellular processes. Of these functional profilings, downregulations of transcriptomes and proteoms were shown in cell adhesion, cell motility, organogenesis, enzyme regulator, structural molecule activity and response to external stimulus functional activities that are supposed to play important roles in pathophysiology. In contrast, the upregulation was only shown in nucleic acid-binding activity. Taken together, potentially significant pathogenetic cellular processes were identified and showed that the downregulated functional profiling has a significant impact on the discovery of pathogenic pathway in leiomyoma. Also, the gene ontology analysis can overcome the complexity of expression profiles of cDNA microarray and two-dimensional protein analysis via its cellular process-level approach. Therefore, a valuable prognostic candidate gene with relevance to disease-specific pathogenesis can be found at cellular process levels.
Insights
This study identified key gene and protein expression changes in uterine leiomyoma, revealing significant downregulations in cell adhesion and motility pathways crucial for disease development.
Area of Science:
- Genomics and Proteomics
- Molecular Biology
- Gynecologic Oncology
Background:
- Uterine leiomyoma (fibroids) are common benign tumors with complex pathophysiology.
- Understanding the molecular mechanisms underlying leiomyoma development is crucial for identifying therapeutic targets.
Purpose of the Study:
- To investigate gene and protein expression profiles in uterine leiomyoma.
- To identify key cellular processes and pathways involved in leiomyoma pathophysiology using gene ontology analysis.
Main Methods:
- Utilized cDNA microarray and two-dimensional protein gel electrophoresis to profile transcriptome and proteome.
- Applied gene ontology analysis to systematically characterize global expression profiles at cellular process levels.
- Compared gene and protein expression in six paired leiomyoma and normal myometrium samples.
Main Results:
- Identified 21 upregulated and 50 downregulated genes, and 33 differentially expressed proteins (17 upregulated, 16 downregulated).
- Gene ontology analysis revealed downregulations in cell adhesion, cell motility, organogenesis, and response to external stimulus.
- Upregulation was primarily observed in nucleic acid-binding activity.
Conclusions:
- Downregulated functional profiling significantly impacts the discovery of pathogenic pathways in leiomyoma.
- Gene ontology analysis provides a valuable cellular process-level approach to understand complex expression profiles.
- Identified potential prognostic candidate genes relevant to leiomyoma pathogenesis at the cellular process level.
More Related Videos
13:01Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022
09:40Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019