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Related Concept Videos

Generation of Straight or Branched Actin Filaments01:14

Generation of Straight or Branched Actin Filaments

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The straight or branched structure formation of actin filaments is controlled by nucleating proteins such as the formins and Arp2/3 complex. Formin-mediated assembly results in straight filaments, whereas Arp2/3 protein complex-mediated assembly results in branched actin filaments.
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Introduction to Actin01:26

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Actin is a highly conserved cytoskeletal protein found abundantly in eukaryotic cells. It constitutes 10% weight of the total cellular protein in muscle cells, while in non-muscle cells, it is lower and makes up around 1–5 percent of the total cell protein. Actin found in the unicellular amoebae and complex multicellular animals is around 80% similar, demonstrating their conservation over a billion years of evolution.  Actin coding genes are conserved within species and across...
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Studying the Cytoskeleton01:17

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The cytoskeletal architecture can be studied using different microscopic and biochemical techniques. Electron microscopy was instrumental in discovering the cytoskeletal architecture around the 1960s, which allowed obtaining structural information at a high-resolution level. However, the sample preparation procedure often limits this ability in biological samples. Several protocols have been developed over the years to optimize sample preparation. In one of the protocols known as rotary...
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Formation of Higher-order Actin Filaments01:11

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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...
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Assembly of Cytoskeletal Filaments01:18

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Cytoskeletal filaments are polymeric forms of smaller protein subunits. However, individual cytoskeletal filaments may easily disassemble or associate with other similar filaments to form rigid structures. Microfilaments, made of actin monomers, rely on actin-binding proteins to form bundles and create networks of individual actin filaments. Microtubules rely on microtubule-associated proteins (MAPs) to form sturdy cylindrical structures. However, the proteins involved in forming complex...
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Actin Polymerization01:42

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Actin polymerization occurs through the head-to-tail association of binding sites on monomeric actin or G-actin to form filamentous or F-actin. The polymerization can be divided into three phases ̶  nucleation, elongation, and steady-state phase.
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A Robust Actin Filaments Image Analysis Framework.

Mitchel Alioscha-Perez1,2, Carine Benadiba2,3, Katty Goossens2,4

  • 1Electronics and Informatics Dept (ETRO), AVSP Lab, Vrije Universiteit Brussel, Brussels, Belgium.

Plos Computational Biology
|August 24, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for analyzing actin filaments in cell images, effectively extracting filament structures despite noise and blurring. The approach enhances understanding of how cells adapt to stress by analyzing filament orientation, position, and length.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Image Analysis

Background:

  • The cytoskeleton, composed of actin, tubulin, and intermediate filaments, is crucial for cellular processes.
  • Understanding cytoskeleton dynamics is key to cell adaptation under stress.
  • Current fluorescence imaging analysis tools struggle with artifacts and blurring in cytoskeleton images.

Purpose of the Study:

  • To develop a robust actin filament extraction methodology for biological images.
  • To improve the analysis of cytoskeleton dynamics under mechanical stress.
  • To provide quantitative parameters for cytoskeleton structure analysis.

Main Methods:

  • A three-step image processing technique involving image decomposition, multi-scale line detection, and filament merging.
  • Decomposition separates filament structures ('cartoon' part) from noise and texture.
  • A robust framework for extracting individual actin filaments from challenging images.

Main Results:

  • The proposed method successfully extracts individual actin filaments amidst noise, artifacts, and blurring.
  • It provides valuable quantitative data on filament orientation, position, and length.
  • Experimental validation on osteoblast cells showed higher sensitivity and comparable accuracy to existing methods.

Conclusions:

  • Cell image decomposition is an under-exploited but beneficial technique for biological image processing.
  • The developed framework offers a robust solution for actin filament extraction and analysis.
  • This methodology aids in understanding cell adaptation mechanisms by providing detailed cytoskeleton insights.