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Related Concept Videos

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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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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Introduction to the Cytoskeleton01:33

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Overview of the Cytoskeleton
The cytoskeleton is a network of protein filaments present within the cell, having three distinct filaments ̶   microfilaments, microtubules, and intermediate filaments. Each has characteristic features that distinguish them, including the dynamics of their assembly and disassembly, mechanical properties, polarity, and the type of molecular motors associated with them. Earlier, they were thought to be present only in eukaryotic cells; however, their...
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Adaptability of Cytoskeletal Filaments01:12

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The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...
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Generation of Straight or Branched Actin Filaments01:14

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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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Arp2/3 complex is a seven-subunit complex consisting of two proteins similar to actin- Arp2 and Arp3, and five other subunits that help keep Arp2 and Arp3 inactive. When required, the complex is...
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Cytoskeletal Proteins in Bacteria01:29

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Bacterial cells were initially considered simple, randomly organized structures lacking a cytoskeleton. However, the discovery of cytoskeleton homologs in bacteria led to the change of this opinion. Bacterial cytoskeletal filaments regulate the cell shape, cell polarity, cell division, and partitioning of plasmids during cell division. It was later discovered that bacterial cytoskeletal proteins, mainly actin and tubulin homologs, are diverse compared to their eukaryotic counterparts. On the...
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Author Spotlight: Exploring Cytoskeletal Dynamics to Unveil Novel Antibiotics Through Innovative Cell-Based Assays
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A novel universal algorithm for filament network tracing and cytoskeleton analysis.

Daniel A D Flormann1,2, Moritz Schu1, Emmanuel Terriac2

  • 1Department of Physics, Saarland University, Saarbruecken, Germany.

FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology
|April 9, 2021
PubMed
Summary
This summary is machine-generated.

A new open-source algorithm enhances computational analysis of filament networks from microscopy images. This tool accurately measures parameters like mesh hole size and filament connectivity for cytoskeleton research.

Keywords:
actincytoskeletonimage analysisintermediate filamentsmicrotubules

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Area of Science:

  • Cell Biology
  • Biophysics
  • Image Analysis

Background:

  • Advanced microscopy techniques have improved imaging of subcellular structures, including cytoskeleton filaments.
  • Computational analysis methods for filament networks have not kept pace with imaging advancements.
  • Analyzing 2D filament networks computationally remains a significant challenge for many applications.

Purpose of the Study:

  • To present a novel algorithm for tracing and analyzing filament networks in 2D images.
  • To provide a computational tool for extracting key network parameters from grayscale images.

Main Methods:

  • Developed a new algorithm for tracing filament networks in 2D images.
  • The algorithm extracts parameters such as mesh hole size, filament length, and connectivity (Coordination Number).
  • Utilized intensity thresholding to distinguish sub-networks within images.

Main Results:

  • The algorithm successfully analyzes cytoskeleton networks from various advanced microscopy methods.
  • Demonstrated the extraction of crucial quantitative parameters from filament network images.
  • The method effectively distinguishes sub-networks based on image intensity.

Conclusions:

  • A new, improved computational method for analyzing 2D filamentous networks has been developed.
  • This open-source algorithm offers wide applications for existing advanced imaging techniques.
  • The tool addresses the challenge of reliable computational analysis for filament networks.