Searching Novel Clock Genes Using RNAi-Based Screening.

ChronoStar Circadian rhythms Live-cell imaging Luciferase reporter RNA interference Screen Time-series analysis U-2 OS cells

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2021
Historique:
entrez: 7 12 2020
pubmed: 8 12 2020
medline: 26 3 2021
Statut: ppublish

Résumé

RNA interference (RNAi) allows for the selective downregulation of gene expression by neutralizing targeted mRNA molecules and has frequently been used in high-throughput screening endeavors. Here, we describe a protocol for the highly parallel RNAi-mediated downregulation of gene expression in order to search for components involved in circadian rhythm generation. We use lentiviral gene transfer to deliver shRNA expressing plasmids into circadian reporter cells ensuring for efficient and stable knockdown. Circadian rhythms are monitored using live-cell bioluminescence recording of synchronized reporter cells over several days. In addition, we present a new software tool (ChronoStar) for efficient, parallel time-series analysis to extract rhythm parameters such as period, phase, amplitude, and damping.

Identifiants

pubmed: 33284439
doi: 10.1007/978-1-0716-0381-9_8
doi:

Substances chimiques

CLOCK Proteins EC 2.3.1.48

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

103-114

Auteurs

Bert Maier (B)

Laboratory of Chronobiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Stephan Lorenzen (S)

Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
Bernhard-Nocht-Institut, Hamburg, Germany.

Anna-Marie Finger (AM)

Laboratory of Chronobiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Hanspeter Herzel (H)

Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.

Achim Kramer (A)

Laboratory of Chronobiology, Charité-Universitätsmedizin Berlin, Berlin, Germany. achim.kramer@charite.de.

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Classifications MeSH