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Related Concept Videos

Protein Networks02:26

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,...
Protein Networks02:26

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,...
Formation of Higher-order Actin Filaments01:11

Formation of Higher-order Actin Filaments

The polymerization of G-actin monomers into filamentous F-actin is a multi-step process. Once the F-actins are formed, they can bundle together in different arrangements to form higher-order networks and regulate cellular functions. Common examples include the formation of lamellipodia and filopodia at the cell's leading edge by actin reorganization in a migrating cell. The microvilli on the brush border epithelial cells are also formed through the F-actin network.
The high-order actin networks...
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

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Related Experiment Video

Updated: Jun 25, 2026

Pattern Generation for Micropattern Traction Microscopy
09:26

Pattern Generation for Micropattern Traction Microscopy

Published on: February 17, 2022

Pattern formation by dynamically interacting network motifs.

Jessica Lembong1, Nir Yakoby, Stanislav Y Shvartsman

  • 1Department of Chemical Engineering and Lewis-Sigler Institute for Integrative Genomics, Washington Road, Princeton University, Princeton, NJ 08544, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 17, 2009
PubMed
Summary
This summary is machine-generated.

Mathematical models are essential for validating developmental pattern formation. This study uses a model of Drosophila oogenesis to explain epithelial patterning, predict mutant defects, and identify new regulatory links.

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Last Updated: Jun 25, 2026

Pattern Generation for Micropattern Traction Microscopy
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Published on: February 17, 2022

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14:28

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Area of Science:

  • Developmental biology
  • Computational biology
  • Genetics

Background:

  • Mathematical models are crucial for understanding complex biological pattern formation.
  • Molecular studies alone are insufficient for validating developmental mechanisms.

Purpose of the Study:

  • To analyze a mathematical model of epithelial patterning in Drosophila oogenesis.
  • To investigate the roles of EGFR and BMP signaling pathways in pattern formation.
  • To validate the model's predictive power and identify novel regulatory interactions.

Main Methods:

  • Computational analysis of a mathematical model.
  • Genetic experiments in Drosophila melanogaster.
  • Analysis of feedforward and feedback network motifs controlling Broad expression.

Main Results:

  • The model accurately reproduces wild-type epithelial patterning in Drosophila oogenesis.
  • The model successfully predicts patterning defects observed in various mutants.
  • The study identified additional regulatory links within the complex pattern formation mechanism.

Conclusions:

  • Mathematical modeling provides a powerful framework for understanding and validating developmental pattern formation.
  • The developed model serves as a valuable tool for future research in Drosophila oogenesis and broader developmental biology.
  • This integrated approach of computational and genetic analysis advances the comprehension of intricate gene regulatory networks.