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Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images.
Heckler, Géraud; Aigueperse, Christelle; Hettal, Liza; Thuillier, Quentin; de Chaumont, Fabrice; Dallongeville, Stéphane; Behm-Ansmant, Isabelle.
Afiliação
  • Heckler G; Université de Lorraine, CNRS, IMoPA F54000 Nancy France.
  • Aigueperse C; Université de Lorraine, CNRS, IMoPA F54000 Nancy France; christelle.aigueperse@univ-lorraine.fr.
  • Hettal L; Université de Lorraine, CNRS, IMoPA F54000 Nancy France.
  • Thuillier Q; Université de Lorraine, CNRS, IMoPA F54000 Nancy France.
  • de Chaumont F; Institut Pasteur, BioImage Analysis Unit, CNRS UMR 3691, Paris, France.
  • Dallongeville S; Institut Pasteur, BioImage Analysis Unit, CNRS UMR 3691, Paris, France.
  • Behm-Ansmant I; Université de Lorraine, CNRS, IMoPA F54000 Nancy France; isabelle.behm@univ-lorraine.fr.
J Vis Exp ; (161)2020 07 15.
Article em En | MEDLINE | ID: mdl-32744525
ABSTRACT
The last decade has been characterized by breakthroughs in fluorescence microscopy techniques illustrated by spatial resolution improvement but also in live-cell imaging and high-throughput microscopy techniques. This led to a constant increase in the amount and complexity of the microscopy data for a single experiment. Because manual analysis of microscopy data is very time consuming, subjective, and prohibits quantitative analyses, automation of bioimage analysis is becoming almost unavoidable. We built an informatics workflow called Substructure Analyzer to fully automate signal analysis in bioimages from fluorescent microscopy. This workflow is developed on the user-friendly open-source platform Icy and is completed by functionalities from ImageJ. It includes the pre-processing of images to improve the signal to noise ratio, the individual segmentation of cells (detection of cell boundaries) and the detection/quantification of cell bodies enriched in specific cell compartments. The main advantage of this workflow is to propose complex bio-imaging functionalities to users without image analysis expertise through a user-friendly interface. Moreover, it is highly modular and adapted to several issues from the characterization of nuclear/cytoplasmic translocation to the comparative analysis of different cell bodies in different cellular sub-structures. The functionality of this workflow is illustrated through the study of the Cajal (coiled) Bodies under oxidative stress (OS) conditions. Data from fluorescence microscopy show that their integrity in human cells is impacted a few hours after the induction of OS. This effect is characterized by a decrease of coilin nucleation into characteristic Cajal Bodies, associated with a nucleoplasmic redistribution of coilin into an increased number of smaller foci. The central role of coilin in the exchange between CB components and the surrounding nucleoplasm suggests that OS induced redistribution of coilin could affect the composition and the functionality of Cajal Bodies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fluxo de Trabalho / Corpo Celular / Microscopia de Fluorescência Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Vis Exp Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fluxo de Trabalho / Corpo Celular / Microscopia de Fluorescência Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Vis Exp Ano de publicação: 2020 Tipo de documento: Article