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General Transcription Factors

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...

Master Transcription Regulators

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...

Transcription Factors

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...

Combinatorial Gene Control

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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Related Experiment Video

Updated: May 24, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

Determining PTEN functional status by network component deduced transcription factor activities.

Linh M Tran¹, Chun-Ju Chang, Seema Plaisier

¹Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California, United States of America.

|February 21, 2012

Summary

Identifying transcription factor activities (TFAs) offers a reliable method for predicting PTEN status in cancer. These TFAs serve as signatures for PTEN functional status, improving patient stratification for targeted therapies.

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Last Updated: May 24, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

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Published on: June 27, 2020

Defining Gene Functions in Tumorigenesis by Ex vivo Ablation of Floxed Alleles in Malignant Peripheral Nerve Sheath Tumor Cells

Defining Gene Functions in Tumorigenesis by Ex vivo Ablation of Floxed Alleles in Malignant Peripheral Nerve Sheath Tumor Cells

Published on: August 25, 2021

Area of Science:

Oncology
Molecular Biology
Systems Biology

Background:

The PI3K-AKT-mTOR pathway is frequently deregulated in human cancers.
Accurate methods for assessing PTEN functional status are crucial for patient stratification and treatment selection.
PTEN status determination is complicated by heterogeneous loss and complex regulatory mechanisms.

Purpose of the Study:

To identify reliable biomarkers for predicting PTEN functional status in cancer.
To investigate the role of transcription factor activities (TFAs) in PTEN-regulated signaling.
To develop improved methods for patient stratification in PTEN-altered cancers.

Main Methods:

Network component analysis was employed to identify transcription factors (TFs) affected by PTEN re-expression.
Analysis of TF target gene expression was used to deduce TF activities (TFAs).
PTEN status was predicted using identified TFAs in human tumor samples and mouse models.

Main Results:

PTEN re-expression altered the activities of 20 transcription factors (TFs).
PTEN primarily controls TF activities (TFAs) rather than TF expression levels.
PTEN-controlled TFAs accurately predict PTEN status in prostate, breast, and brain tumors, outperforming traditional methods.
Specific sets of PTEN-controlled TFAs are associated with distinct tumor types.

Conclusions:

Transcription factor activities (TFAs) can serve as reliable signatures for predicting PTEN functional status.
This approach enhances patient stratification for targeted therapies in PTEN-altered cancers.
The study elucidates the transcriptional architecture underlying PTEN-loss-driven human cancers.