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
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
5686-5694Subventions
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.