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Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number
Published on: November 16, 2010
Image processing approaches for microtubule remodeling quantification at the immunological synapse
Daniel Krentzel1, Maria Isabella Gariboldi1, Marie Juzans2
1Institut Pasteur, Université Paris Cité, CNRS-UMR3691, Unité Imagerie et Modélisation, Paris, France.
Insights
Researchers developed a new image analysis method to quantify microtubule organization in T cell immunological synapses. This tool aids in understanding T cell functions and potential roles in anti-tumor immunity.
Area of Science:
- Immunology
- Cell Biology
- Biophysics
Background:
- Immunological synapses form via T cell polarization, requiring extensive cytoskeleton remodeling.
- Actin and microtubules are critical for synapse architecture, organelle positioning, and T cell effector functions.
- Quantifying complex filamentous networks in synapses is challenging due to their heterogeneous nature.
Purpose of the Study:
- To develop an image processing approach for quantifying microtubule organization at the immunological synapse without filament segmentation.
- To investigate the role of Adenomatous polyposis coli (Apc) in immunological synapse structure and function.
- To explore the implications of Apc in anti-tumor immune responses.
Main Methods:
- Developed a novel image processing method analyzing spatial and directional organization of microtubules.
- The method quantifies microtubule organization emanating from the centrosome to the synapse periphery.
- An open-source napari plugin was created for analyzing filamentous networks.
Main Results:
- Successfully quantified microtubule organization at the immunological synapse using the developed image processing approach.
- Demonstrated the utility of the method in studying the role of Adenomatous polyposis coli (Apc).
- Provided a tool for researchers to analyze cytoskeletal dynamics in T cell synapses.
Conclusions:
- The new image processing method enables robust quantification of microtubule organization in immunological synapses.
- This approach facilitates the study of polarity regulators like Apc and their impact on T cell function.
- Understanding cytoskeletal dynamics in synapses is crucial for deciphering T cell-mediated immunity and potential therapeutic strategies.
Abstract:
Immunological synapses result from a T cell polarization process, requiring cytoskeleton remodeling. Actin and microtubules drive synapse architecture and the localization of intracellular organelles, including Golgi and endolysosomal compartments, ensuring the directional localization of synapse components. Microtubule remodeling includes the centrosome polarization and the formation of a radial microtubules network, extending from the centrosome to the synapse periphery. Concomitantly, a ring of filamentous actin forms at the synapse periphery. Microtubule and actin remodeling facilitate vesicle fusion at the synapse, enabling T cell effector functions. Analyzing structural subtleties of cytoskeleton remodeling at the immunological synapse is crucial to understand its role in T cell functions. It may also pinpoint pathological states related with cytoskeletal dysfunctions. Quantifying filamentous protein network properties is challenging due to their complex and heterogeneous architectures and the inherent difficulty of segmenting individual filaments. Here, we describe the development of an image processing approach aimed at quantifying microtubule organization at the immunological synapse without the need for filament segmentation. The method is based on the analysis of the spatial and directional organization of microtubules growing from the centrosome to the synapse periphery. It is applied to investigate the importance of Adenomatous polyposis coli (Apc), a polarity regulator and tumor suppressor, in immunological synapse structure and functions and its potential implication in anti-tumor immune responses. We provide an open-source napari plugin of the outlined methods for analyzing filamentous networks.
