An open-source high-content analysis workflow for CFTR function measurements using the forskolin-induced swelling assay.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
05 Apr 2021
Historique:
received: 06 06 2020
revised: 13 11 2020
accepted: 14 12 2020
medline: 29 12 2020
pubmed: 29 12 2020
entrez: 28 12 2020
Statut: ppublish

Résumé

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. 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. 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 data are available at Bioinformatics online.

Identifiants

pubmed: 33367496
pii: 6050708
doi: 10.1093/bioinformatics/btaa1073
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5686-5694

Subventions

Organisme : FCT-Fundação para a Ciência e a Tecnologia
ID : UIDB/04046/2020
Organisme : HIT-CF
ID : H2020-SC1-2017-755021
Organisme : EU
Organisme : post-doctoral fellowship
ID : SFRH/BPD/93017/2013
Organisme : Dutch Cystic Fibrosis Foundation
Organisme : Portuguese Platform of BioImaging
ID : PPBI-POCI-01-0145-FEDER-022122
Organisme : FCT

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Marne C Hagemeijer (MC)

Department of Pediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
Regenerative Medicine Center Utrecht, University Medical Centre Utrecht, 3584 EA Utrecht, The Netherlands.

Annelotte M Vonk (AM)

Department of Pediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
Regenerative Medicine Center Utrecht, University Medical Centre Utrecht, 3584 EA Utrecht, The Netherlands.

Nikhil T Awatade (NT)

BioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal.

Iris A L Silva (IAL)

BioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal.

Christian Tischer (C)

European Molecular Biology Laboratory (EMBL), Centre for Bioimage Analysis (CBA), 69117 Heidelberg, Germany.

Volker Hilsenstein (V)

European Molecular Biology Laboratory (EMBL), Advanced Light Microscopy Facility (ALMF), 69117 Heidelberg, Germany.

Jeffrey M Beekman (JM)

Department of Pediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
Regenerative Medicine Center Utrecht, University Medical Centre Utrecht, 3584 EA Utrecht, The Netherlands.

Margarida D Amaral (MD)

BioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal.

Hugo M Botelho (HM)

BioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal.

Classifications MeSH