Automated 3D light-sheet screening with high spatiotemporal resolution reveals mitotic phenotypes.


Journal

Journal of cell science
ISSN: 1477-9137
Titre abrégé: J Cell Sci
Pays: England
ID NLM: 0052457

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 07 02 2020
accepted: 30 03 2020
pubmed: 17 4 2020
medline: 22 6 2021
entrez: 17 4 2020
Statut: epublish

Résumé

3D cell cultures enable the

Identifiants

pubmed: 32295847
pii: jcs.245043
doi: 10.1242/jcs.245043
pmc: PMC7286290
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2020. Published by The Company of Biologists Ltd.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing or financial interests.

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Auteurs

Björn Eismann (B)

Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.

Teresa G Krieger (TG)

Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Digital Health Center, Berlin Institute of Health (BIH)/Charité-Universitätsmedizin Berlin, Berlin 13353, Germany.

Jürgen Beneke (J)

Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Advanced Biological Screening Facility Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.

Ruben Bulkescher (R)

Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Advanced Biological Screening Facility Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.

Lukas Adam (L)

Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.

Holger Erfle (H)

Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Advanced Biological Screening Facility Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.

Carl Herrmann (C)

Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Health Data Science Unit, Medical Faculty University Heidelberg and BioQuant, Heidelberg 69120, Germany.

Roland Eils (R)

Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany christian.conrad@bihealth.de roland.eils@charite.de.
Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Digital Health Center, Berlin Institute of Health (BIH)/Charité-Universitätsmedizin Berlin, Berlin 13353, Germany.
Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) Heidelberg University, Heidelberg 69120, Germany.
Heidelberg Center for Personalized Oncology, DKFZ-HIPO, DKFZ, Heidelberg 69120, Germany.

Christian Conrad (C)

Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany christian.conrad@bihealth.de roland.eils@charite.de.
Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Heidelberg Center for Personalized Oncology, DKFZ-HIPO, DKFZ, Heidelberg 69120, Germany.

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Classifications MeSH