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Related Concept Videos

Protein Networks02:26

Protein Networks

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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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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
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mTOR Signaling and Cancer Progression03:03

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The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
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Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

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Related Experiment Video

Updated: Jul 3, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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A large-scale cancer-specific protein-DNA interaction network.

Yunwei Lu1, Anna Berenson1,2, Ryan Lane1

  • 1Biology Department, Boston University, Boston, MA, 02215, USA.

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|February 14, 2024
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Identifying key transcription factors (TFs) in cancer gene regulation offers therapeutic targets. This study maps TF-DNA interactions, revealing potential for oncogene repression and insights into TF function, aiding future cancer therapy development.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Cancer progression involves gene expression dysregulation, often driven by transcription factors (TFs).
  • Identifying cancer-associated TFs is crucial for developing novel therapeutic strategies.
  • Understanding TF-DNA interactions provides a framework for targeted cancer treatments.

Approach:

  • Constructed a large-scale cancer gene TF-DNA interaction network.
  • Developed an extensive promoter clone resource for future research.
  • Investigated the role of intrinsically disordered regions in estrogen receptor alpha (ESR1) function.

Key Points:

  • Highly connected TFs did not preferentially bind to promoters of genes linked to good or poor cancer prognosis.
  • Half of the tested oncogenes showed potential for repression by targeting specific activator or bifunctional TFs.
  • Intrinsically disordered regions in ESR1 exhibit complex trade-offs in DNA binding and transcriptional activity.

Conclusions:

  • The study expands knowledge of TFs within the cancer gene regulatory network.
  • Provides a valuable resource for future research into TF-driven cancer mechanisms.
  • Lays the foundation for developing TF-targeting therapeutics for cancer treatment.