Status: Bibliographieeintrag
Standort: ---
Exemplare:
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| Online-Ressource |
Verfasst von: | Pandey, Gunjan [VerfasserIn]  |
| Westhoff, Jens [VerfasserIn]  |
| Schaefer, Franz [VerfasserIn]  |
| Gehrig, Jochen [VerfasserIn]  |
Titel: | A smart imaging workflow for organ-specific screening in a cystic kidney zebrafish disease model |
Verf.angabe: | Gunjan Pandey, Jens H. Westhoff, Franz Schaefer and Jochen Gehrig |
E-Jahr: | 2019 |
Jahr: | 14 March 2019 |
Umfang: | 16 S. |
Fussnoten: | Gesehen am 06.03.2020 |
Titel Quelle: | Enthalten in: International journal of molecular sciences |
Ort Quelle: | Basel : Molecular Diversity Preservation International, 2000 |
Jahr Quelle: | 2019 |
Band/Heft Quelle: | 20(2019,6) Artikel-Nummer 1290, 16 Seiten |
ISSN Quelle: | 1422-0067 |
| 1661-6596 |
Abstract: | The zebrafish is being increasingly used in biomedical research and drug discovery to conduct large-scale compound screening. However, there is a lack of accessible methodologies to enable automated imaging and scoring of tissue-specific phenotypes at enhanced resolution. Here, we present the development of an automated imaging pipeline to identify chemical modifiers of glomerular cyst formation in a zebrafish model for human cystic kidney disease. Morpholino-mediated knockdown of intraflagellar transport protein Ift172 in Tg(wt1b:EGFP) embryos was used to induce large glomerular cysts representing a robustly scorable phenotypic readout. Compound-treated embryos were consistently aligned within the cavities of agarose-filled microplates. By interfacing feature detection algorithms with automated microscopy, a smart imaging workflow for detection, centring and zooming in on regions of interests was established, which enabled the automated capturing of standardised higher resolution datasets of pronephric areas. High-content screening datasets were processed and analysed using custom-developed heuristic algorithms implemented in common open-source image analysis software. The workflow enables highly efficient profiling of entire compound libraries and scoring of kidney-specific morphological phenotypes in thousands of zebrafish embryos. The demonstrated toolset covers all the aspects of a complex whole organism screening assay and can be adapted to other organs, specimens or applications. |
DOI: | doi:10.3390/ijms20061290 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: https://doi.org/10.3390/ijms20061290 |
| Volltext: https://www.mdpi.com/1422-0067/20/6/1290 |
| DOI: https://doi.org/10.3390/ijms20061290 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | automated imaging |
| high-content screening |
| image analysis |
| zebrafish |
K10plus-PPN: | 1691850519 |
Verknüpfungen: | → Zeitschrift |
¬A¬ smart imaging workflow for organ-specific screening in a cystic kidney zebrafish disease model / Pandey, Gunjan [VerfasserIn]; 14 March 2019 (Online-Ressource)
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