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An open-source high-content analysis workflow for CFTR function measurements using the forskolin-induced swelling assay.
Hagemeijer, Marne C; Vonk, Annelotte M; Awatade, Nikhil T; Silva, Iris A L; Tischer, Christian; Hilsenstein, Volker; Beekman, Jeffrey M; Amaral, Margarida D; Botelho, Hugo M.
Afiliación
  • Hagemeijer MC; Department of Pediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
  • Vonk AM; Regenerative Medicine Center Utrecht, University Medical Centre Utrecht, 3584 EA Utrecht, The Netherlands.
  • Awatade NT; Department of Pediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
  • Silva IAL; Regenerative Medicine Center Utrecht, University Medical Centre Utrecht, 3584 EA Utrecht, The Netherlands.
  • Tischer C; BioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal.
  • Hilsenstein V; BioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal.
  • Beekman JM; European Molecular Biology Laboratory (EMBL), Centre for Bioimage Analysis (CBA), 69117 Heidelberg, Germany.
  • Amaral MD; European Molecular Biology Laboratory (EMBL), Advanced Light Microscopy Facility (ALMF), 69117 Heidelberg, Germany.
  • Botelho HM; Department of Pediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
Bioinformatics ; 36(24): 5686-5694, 2021 Apr 05.
Article en En | MEDLINE | ID: mdl-33367496
ABSTRACT
MOTIVATION The forskolin-induced swelling (FIS) assay has become the preferential assay to predict the efficacy of approved and investigational CFTR-modulating drugs for individuals with cystic fibrosis (CF). Currently, no standardized quantification method of FIS data exists thereby hampering inter-laboratory reproducibility.

RESULTS:

We developed a complete open-source workflow for standardized high-content analysis of CFTR function measurements in intestinal organoids using raw microscopy images as input. The workflow includes tools for (i) file and metadata handling; (ii) image quantification and (iii) statistical analysis. Our workflow reproduced results generated by published proprietary analysis protocols and enables standardized CFTR function measurements in CF organoids. AVAILABILITY AND IMPLEMENTATION All workflow components are open-source and freely available the htmrenamer R package for file handling https//github.com/hmbotelho/htmrenamer; CellProfiler and ImageJ analysis scripts/pipelines https//github.com/hmbotelho/FIS_image_analysis; the Organoid Analyst application for statistical analysis https//github.com/hmbotelho/organoid_analyst; detailed usage instructions and a demonstration dataset https//github.com/hmbotelho/FIS_analysis. Distributed under GPL v3.0. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos