Analysis of Actomyosin Dynamics at Local Cellular and Tissue Scales Using Time-lapse Movies of Cultured Drosophila Egg Chambers
June 3rd, 2019
This protocol provides a Fiji-based, user-friendly methodology along with straightforward instructions explaining how to reliably analyze actomyosin behavior in individual cells and curved epithelial tissues. No programming skills are required to follow the tutorial; all steps are performed in a semi-interactive manner using the graphical user interface of Fiji and associated plugins.
Overview
This protocol provides a user-friendly methodology for analyzing actomyosin behavior in individual epithelial cells and curved epithelial tissues. It is designed for novice users and requires no programming skills, utilizing the intuitive graphical user interface of Fiji.
Key Study Components
Area of Science
- Cell Biology
- Neuroscience
- Biophysics
Background
- Actomyosin networks play crucial roles in cellular mechanics.
- Understanding these networks is essential for insights into tissue morphogenesis.
- The protocol is applicable to various model systems beyond Drosophila.
- Fiji software provides an accessible platform for analysis.
Purpose of Study
- To enable reliable analysis of actomyosin behavior in cells.
- To facilitate similar analyses in multicellular curved epithelial tissues.
- To provide a straightforward tutorial for users without scripting knowledge.
Methods Used
- Utilization of Fiji software for image analysis.
- Step-by-step instructions for users.
- Graphical user interface for semi-interactive analysis.
- Application of plugins to enhance functionality.
Main Results
- Successful analysis of actomyosin networks in individual cells.
- Effective application of the protocol to curved epithelial tissues.
- Demonstrated ease of use for novice researchers.
- Encouragement for testing in various model systems.
Conclusions
- The protocol is a valuable tool for studying actomyosin dynamics.
- It broadens accessibility for researchers in the field.
- Potential for application in diverse biological contexts.
Frequently Asked Questions
Executive Industry Relevance
Understanding actomyosin dynamics is critical for de-risking target validation in tissue morphogenesis and mechanotransduction pathways. This protocol enables quantitative analysis of subcellular and multicellular actomyosin behavior, supporting predictive confidence in early discovery. By providing a reproducible, scalable method for analyzing force-generating networks in epithelial tissues, it aids in mechanistic insight for disease-relevant systems.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Scientific Value: Enables interrogation of actomyosin-driven tissue rotation as a functional readout for genetic or pharmacological perturbations.
- Operational Value: Supports hypothesis testing of cytoskeletal regulators in epithelial morphogenesis without requiring programming expertise.
Screening & Assay Development
- Scientific Value: Generates quantitative intensity and spatial distribution data of actomyosin signals over time for comparative condition analysis.
- Operational Value: Provides standardized, Fiji-based workflows for extracting and analyzing circumferential tissue layers, enhancing assay reproducibility.
Translational & Preclinical Research
- Scientific Value: Facilitates analysis of mutant phenotypes (e.g., fat2) to link molecular perturbations to tissue-scale functional deficits in force synchronization.
- Operational Value: Enables cross-scale correlation from subcellular pulses to tissue-level epithelial rotation, supporting translational continuity.
Pipeline & Workflow Integration
The method integrates into discovery biology by enabling mechanistic de-risking of cytoskeletal targets through direct visualization of actomyosin dynamics at relevant scales.
- Discovery Biology: Allows hypothesis testing of genes regulating actomyosin polarity and synchronization in epithelial tissues.
- Screening: Delivers quantitative, time-resolved actomyosin readouts suitable for assay standardization and comparative screening.
- Analytics: Outputs mean and median signal intensities, spatial blob detection, and surface extraction metrics for data-driven comparisons.
- Translational Research: Connects subcellular actomyosin behavior to tissue-scale morphogenetic outcomes, supporting phenotype-to-mechanism linkage.
- Enterprise Reuse: The Fiji-based plugins and protocols are designed for broad applicability across epithelial model systems, promoting platform reuse.
Operational & Enterprise Impact
- Scientific Value: Provides mechanistic insight into force generation and synchronization in epithelial tissues, reducing ambiguity in target function.
- Operational Value: Enables standardized, reproducible analysis of actomyosin dynamics across cellular and tissue scales via intuitive GUI tools.
- Strategic Value: Supports early go/no-go decisions by linking molecular perturbations to functional tissue phenotypes.
- Portfolio Impact: Aids in risk-adjusted prioritization of targets involved in mechanotransduction and tissue morphogenesis pathways.
Implementation Considerations
- Familiarity with Fiji software and time-lapse microscopy workflows.
- Access to bleach-corrected multi-channel time-lapse data of epithelial tissues.
- Installation of Surface Manager and Ellipsoid Surface Projection plugins for Fiji.
- Optimization of parameters for cell masking, blob detection, and surface extraction based on signal quality and resolution.
- Validation of actomyosin signal detection in both control and perturbed conditions to ensure biological relevance.
Biopharma FAQs
Chapters in this video
0:04
Title
0:57
Cell Segmentation: Generation of a Cell Mask for Time Lapse Movies
2:33
Loading the Generated Cell Mask into Surface Manager
3:36
Analysis of Actomyosin Pulses in Surface Manager at Local Cellular Scale
4:51
Selective Surface Extraction of Curved Epithelial Tissues
8:41
Results: Behavior of Myosin II at the Cellular and Tissue Scale in a Drosophila Egg Chamber
10:13
Conclusion
