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Related Concept Videos

Studying the Cytoskeleton01:17

Studying the Cytoskeleton

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...
Actin Filament Depolymerization01:19

Actin Filament Depolymerization

Actin filaments (F-actin) are composed of actin subunits. The dissociation of actin monomers can occur from either end of F-actin. The rate of dissociation is faster from the minus-end or the pointed end, where the actin subunits exist with a bound ADP, together known as ADP-actin. The depolymerization of F-actin is aided by proteins, including the actin-depolymerizing factor (ADF) and cofilin family of proteins, gelsolin, and glia maturation factor (GMF).
In F-actin, the ADF/cofilin proteins...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
Actin Polymerization and Cell Motility01:13

Actin Polymerization and Cell Motility

Actin is a family of globular proteins that are highly abundant in eukaryotic cells. It makes up approximately 1-5% of total cell protein concentration. Actin monomers polymerize to form a complex network of polarized filaments, the actin cytoskeleton, that plays a crucial role in many cellular processes, including cell motility, division, endocytosis, and metastasis of cancer cells.
Actin cytoskeleton dynamics can produce pushing, pulling, and resistance forces that help the cell to migrate.

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Related Experiment Video

Updated: May 14, 2026

Probing Myosin Ensemble Mechanics in Actin Filament Bundles Using Optical Tweezers
06:53

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Published on: May 4, 2022

Tracking actomyosin at fluorescence check points.

Mercy Lard1, Lasse ten Siethoff, Alf Månsson

  • 1The Nanometer Structure Consortium (nmC@LU) and Division of Solid State Physics, Lund University, Lund, Sweden. mercy.lard@ftf.lth.se

Scientific Reports
|January 25, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new detection system for tracking cytoskeletal filaments on-chip using actomyosin motility. It enables reliable, automated counting and velocity measurement for advanced biotechnologies.

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Area of Science:

  • Biotechnology
  • Nanotechnology
  • Biophysics

Background:

  • On-chip biotechnologies are exploring active transport systems to replace traditional microfluidic flow.
  • Applications in bio-simulation, biocomputation, diagnostics, and drug screening require reliable, localized detection of motile biological filaments.
  • Existing methods face challenges in precise, high-throughput filament detection within complex micro-devices.

Purpose of the Study:

  • To develop a robust detection system for cytoskeletal filaments in on-chip applications.
  • To enable reliable, minimal-data acquisition detection at multiple checkpoints within a micro-device.
  • To facilitate automated read-out of filament count and velocity for high-throughput motility assays.

Main Methods:

  • Utilized actomyosin motility for active transport of fluorescent actin filaments within nanochannels.
  • Implemented pairs of gold lines as detection points perpendicular to the nanochannels.
  • Employed Fluorescence Interference Contrast (FLIC) for localized signal enhancement and a cross-correlation method for error suppression.

Main Results:

  • Demonstrated reliable detection of single and multiple filaments using the developed system.
  • Showcased the effectiveness of FLIC and cross-correlation for accurate signal processing.
  • Identified optimal device design parameters for enhanced detection efficiency.

Conclusions:

  • The developed detection system reliably tracks cytoskeletal filaments, crucial for advancing active, motor-driven on-chip applications.
  • This technology supports automatic read-out of filament dynamics, paving the way for high-throughput analysis.
  • Establishes the viability of molecular-motor driven transport for future biotechnological devices.