Non-Canonical Circadian Oscillations in Drosophila S2 Cells Drive Gene-Expression Cycles Coupled to Metabolic Oscillations
First published: 2017
Brief summary
Finds that cultured Drosophila cells lacking the recognized circadian clock genes still generate genuine ~24-hour oscillations in gene transcription and metabolism, indicating an uncharacterized clock-independent mechanism for daily biological rhythms.
Article
Non-Canonical Circadian Oscillations in Drosophila S2 Cells Drive Gene-Expression Cycles Coupled to Metabolic Oscillations is a preprint published by bioRxiv in 2017. It finds that cultured Drosophila cells lacking the recognised circadian clock genes still generate genuine ~24-hour oscillations in gene transcription and metabolism, indicating an uncharacterized clock-independent mechanism for daily biological rhythms.
The analysis focuses on ~24 hours, measured via flow cytometry and proteomic time-course sampling over two days. It also considers explicitly shown to be independent of canonical circadian clock genes and the cell division cycle. This gives the cycle claim a specific numerical and evidential setting rather than presenting periodicity only as a visual impression.
The article reports the following result: These results suggest that an uncharacterised mechanism, independent of canonical circadian genes or the cell cycle, is involved in the generation of 24-hour transcriptional oscillations in Drosophila S2 cells. The interpretation is strongest when sample selection, age, physiology, measurement error and individual variability are accounted for.
For cycles researchers, the article brings together drosophila circadian rhythms, gene-expression cycles, metabolic oscillations, biological clocks. It is relevant to biological cycle research because living systems contain interacting clocks and rhythms whose periods vary with physiology, age, environment and measurement method.
Because it is a preprint, the work should be read alongside later peer-reviewed publications and independent replications. It remains useful because the proposed cycle, dataset and analytical approach are stated clearly enough to be scrutinised.
Source details and credits
- Source / publisher: bioRxiv
- Source type: Preprint
- URL type: PDF
- Credits: bioRxiv
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