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Development of the Limb Synovial Joints01:07

Development of the Limb Synovial Joints

Joints form during embryonic development in conjunction with the formation and growth of the associated bones. The embryonic tissue that gives rise to all bones, cartilage, and connective tissues of the body is called mesenchyme.
The mesenchymal stem cells differentiate into chondrocytes that form the hyaline cartilage, and later the cartilaginous model of the bone. This model further transforms into a bone. This process is known as endochondral ossification.
During development, the limbs...
Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
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The development of lymphatic tissues and vessels in embryonic life begins around the fifth week. These structures originate from the mesoderm layer, with lymph sacs emerging from developing veins.
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Root-Locus Method01:19

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A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
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Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
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Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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Related Experiment Video

Updated: Jun 23, 2026

Chicken Recombinant Limbs Assay to Understand Morphogenesis, Patterning, and Early Steps in Cell Differentiation
08:08

Chicken Recombinant Limbs Assay to Understand Morphogenesis, Patterning, and Early Steps in Cell Differentiation

Published on: January 12, 2022

Limb development takes a measured step toward systems analysis.

Susan Mackem1, Mark Lewandoski

  • 1Cancer and Developmental Biology Laboratory, National Cancer Institute, NCI-Frederick, Frederick, MD 21702, USA. mackems@mail.nih.gov

Science Signaling
|May 21, 2009
PubMed
Summary
This summary is machine-generated.

Embryonic limb development relies on feedback loops between epithelial and mesenchymal cells. These signaling pathways ensure robust growth, making limb development resilient to genetic mutations and epigenetic changes.

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Last Updated: Jun 23, 2026

Chicken Recombinant Limbs Assay to Understand Morphogenesis, Patterning, and Early Steps in Cell Differentiation
08:08

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Published on: August 30, 2016

Area of Science:

  • Developmental biology
  • Molecular biology
  • Genetics

Background:

  • Limb development involves complex signaling between embryonic tissues.
  • Fibroblast growth factor (FGF) and Sonic hedgehog (Shh) pathways are crucial for limb patterning.
  • Bone morphogenetic protein (BMP) signaling, antagonized by Gremlin1, also plays a role.

Purpose of the Study:

  • To investigate the regulatory feedback loops governing embryonic vertebrate limb growth and patterning.
  • To understand how these signaling pathways contribute to the robustness of limb development.

Main Methods:

  • Utilized complex genetic analysis.
  • Employed quantitative measurements of gene induction kinetics.
  • Developed a computational model to simulate limb development dynamics.

Main Results:

  • Identified key feedback loops involving FGF, Shh, Gremlin1, and BMP signaling.
  • Demonstrated that these feedback loops create a robust system for limb development.
  • Showed that limb development is buffered against certain mutations and epigenetic alterations.

Conclusions:

  • The intricate feedback signaling network between epithelium and mesenchyme ensures robust embryonic limb development.
  • This robustness provides resilience against genetic and epigenetic perturbations.
  • Computational modeling is a valuable tool for dissecting complex developmental processes.