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Updated: Aug 22, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
Published on: June 27, 2020
Genomic approaches that aid in the identification of transcription factor target genes
Antonis Kirmizis1, Peggy J Farnham
1McArdle Laboratory for Cancer Research, University of Wisconsin Medical School, Madison 533706, USA.
Abstract:
It is well-established that deregulation of the transcriptional activity of many different genes has been causatively linked to human diseases. In cancer, altered patterns of gene expression are often the result of the inappropriate expression of a specific transcriptional activator or repressor. Functional studies of cancer-specific transcription factors have relied upon the study of candidate target genes. More recently, gene expression profiling using DNA microarrays that contain tens of thousands of cDNAs corresponding to human mRNAs has allowed for a large-scale identification of genes that respond to increased or decreased levels of a particular transcription factor. However, such experiments do not distinguish direct versus indirect target genes. Coupling chromatin immunoprecipitation to micro-arrays that contain genomic regions (ChIP-chip) has provided investigators with the ability to identify, in a high-throughput manner, promoters directly bound by specific transcription factors. Clearly, knowledge gained from both types of arrays provides complementary information, allowing greater confidence that a transcription factor regulates a particular gene. In this review, we focus on Polycomb group (PcG) complexes as an example of transcriptional regulators that are implicated in various cellular processes but about which very little is known concerning their target gene specificity. We provide examples of how both expression arrays and ChIP-chip microarray-based assays can be used to identify target genes of a particular PcG complex and suggest improvements in the application of array technology for faster and more comprehensive identification of directly regulated target genes.
Insights
Investigating Polycomb group (PcG) complexes reveals how gene expression profiling and ChIP-chip assays identify their direct target genes. This approach enhances understanding of transcriptional regulation in cellular processes and disease.
Area of Science:
- * Molecular Biology
- * Genomics
- * Cancer Research
Background:
- * Deregulation of gene transcription is a known cause of human diseases, particularly cancer.
- * Identifying specific transcription factors and their target genes is crucial for understanding disease mechanisms.
- * Traditional methods struggle to differentiate direct from indirect gene regulation by transcription factors.
Purpose of the Study:
- * To review the application of microarray-based assays for identifying target genes of transcriptional regulators.
- * To focus on Polycomb group (PcG) complexes as a case study for target gene identification.
- * To suggest improvements for array technologies in identifying directly regulated genes.
Main Methods:
- * Gene expression profiling using DNA microarrays to identify genes responding to transcription factor level changes.
- * Chromatin immunoprecipitation coupled with microarrays (ChIP-chip) to identify genomic regions directly bound by transcription factors.
- * Comparative analysis of data from expression arrays and ChIP-chip assays.
Main Results:
- * Gene expression profiling identifies a broad set of responsive genes but cannot distinguish direct from indirect targets.
- * ChIP-chip assays directly map transcription factor binding sites to genomic promoters.
- * Combining both array types provides complementary data, increasing confidence in identified target genes.
Conclusions:
- * Both expression arrays and ChIP-chip are valuable tools for understanding transcriptional regulation.
- * Further refinement of array technology can accelerate and broaden the identification of directly regulated target genes.
- * Understanding PcG complex target gene specificity is essential for elucidating their role in cellular processes and disease.
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