Related Experiment Video
Updated: May 22, 2026

10:13
A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
Published on: July 3, 2013
Sensitive detection of pathway perturbations in cancers
Corban G Rivera1, Brett M Tyler, T M Murali
1Department of Computer Science, Virginia Tech, Blacksburg, VA, USA.
BMC Bioinformatics
|April 28, 2012
Summary
This study introduces a computational method to identify perturbed pathways in cancer by analyzing gene expression data and molecular interactions. The approach pinpoints specific sub-pathways, offering more sensitive and robust cancer pathway analysis.
Area of Science:
- Computational Biology
- Systems Biology
- Genomics
Background:
- Cellular function relies on complex molecular interaction networks.
- Linking diseases to pathway perturbations can reveal disease mechanisms and treatment responses.
Purpose of the Study:
- To develop a computational method for detecting pathway perturbations in cancer.
- To improve upon existing methods by considering gene product interactions and focusing on sub-pathways.
Main Methods:
- Compared gene expression profiles from cancer and normal tissues.
- Utilized a scoring function that incorporates gene interactions within pathways.
- Identified and statistically assessed the significance of the most perturbed sub-pathway using permutation tests.
- Applied the method to pathways from the Netpath database and gene expression data from the Global Cancer Map.
Main Results:
- The method demonstrated higher sensitivity than approaches that ignore interactions or assess entire pathways.
- The approach is robust to minor variations in input data.
- Confirmed known associations between pathways and cancers.
- Identified specific, perturbed sub-pathways within broader pathways.
Conclusions:
- Integrating gene expression data with pathway interaction structures effectively detects cancer-associated perturbed pathways.
- Cancer-specific pathway perturbations may be partial, even in well-studied pathways.
- Further investigation of cancer-specific sub-pathways can elucidate cancer similarities and differences.
Related Concept Videos
Interactions Between Signaling Pathways
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
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
mTOR Signaling and Cancer Progression
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...
The mTOR pathway or the...
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,...
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,...
Adaptive Mechanisms in Cancer Cells
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...

