Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Interactions Between Signaling Pathways01:19

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...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
Adaptive Mechanisms in Cancer Cells02:53

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,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Extracellular vesicle depletion improves transient gene expression performance and alters cellular transcriptional responses in CHO cell.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Omics-guided engineering of CHO cells reveals host targets to support AAV production.

Molecular therapy. Advances·2026
Same author

Annotating the pangenome reveals the diversity in the genetic basis for metabolic enzymes.

Science advances·2026
Same author

A community reconstruction of Chinese hamster metabolism and structural systems biology elucidate metabolic rewiring in lactate-free CHO cells.

Cell systems·2026
Same author

The Role of Glycan Structures in Modulating GM-CSF Bioactivity: Insights from Glycoengineering.

bioRxiv : the preprint server for biology·2026
Same author

High-throughput optimization of antibody production in CHO cells by tuning heavy- and light-chain promoter strength.

Frontiers in bioengineering and biotechnology·2026

Related Experiment Video

Updated: May 19, 2026

Rapid Development of Cell State Identification Circuits with Poly-Transfection
09:21

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

PATHLOGIC-S: a scalable Boolean framework for modelling cellular signalling.

Liam G Fearnley1, Lars K Nielsen

  • 1Australian Institute of Bioengineering and Nanotechnology, University of Queensland, Brisbane, Queensland, Australia.

Plos One
|August 11, 2012
PubMed
Summary

PATHLOGIC-S is a new Boolean modeling tool for analyzing large signal transduction networks. It efficiently predicts network states and handles complex inhibition mechanisms, improving system analysis.

More Related Videos

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
13:34

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

Related Experiment Videos

Last Updated: May 19, 2026

Rapid Development of Cell State Identification Circuits with Poly-Transfection
09:21

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
13:34

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

Area of Science:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Signal transduction databases contain thousands of reactions, necessitating advanced modeling tools.
  • Existing Boolean modeling approaches face challenges with accurately representing inhibition mechanisms.

Purpose of the Study:

  • To introduce PATHLOGIC-S, a novel Boolean specification and software for signal transduction network modeling.
  • To enhance the analysis of large biological datasets and address limitations in modeling inhibition.

Main Methods:

  • Development of PATHLOGIC-S using integer programming techniques for Boolean modeling.
  • Application to large-scale signal transduction datasets from Reactome and Panther Pathways.
  • Prediction of stable and semi-stable network states using computational analysis.

Main Results:

  • PATHLOGIC-S successfully analyzes large signal transduction datasets on standard workstations.
  • The tool effectively models and reduces logical incoherence caused by inhibitory mechanisms.
  • Demonstrated application to Reactome and Panther Pathways with performance analysis.

Conclusions:

  • PATHLOGIC-S provides an efficient and robust framework for signal transduction network modeling.
  • The software improves the analysis of complex biological systems, particularly those with inhibition.
  • Freely available GPL-licensed software facilitates broader research applications.