bioRxivMolecular BiologyPreprint
Transcriptional changes are regulated by metabolic pathway dynamics but decoupled from protein levels
Jack FelthamiD, Shidong Xi, Struan C. Murray, Meredith WoutersiD, Julian Urdiain‐ArraizaiD, Raphael HeiligiD, Charlotte L. GeorgeiD, Anna F. Townley, Emile RobertsiD, Benedikt Mathias KessleriD, Sabrina LiberatoriiD, Philip D. CharlesiD, Andrew AngeliD, Román FischeriD, Jane MelloriD
Abstract
Transcription is necessary for the synthesis of new proteins, often leading to the assumption that changes in transcript levels lead to changes in protein levels which directly impact a cells phenotype. Using a synchronized biological rhythm, we show that despite genome-wide partitioning of transcription, transcripts and translation levels into two phase-shifted expression clusters related to metabolism, detectable protein levels remain constant over time. This disconnect between cycling translation and constant protein levels can be explained by slow protein turnover rates, with overall protein levels maintained by low level pulses of new protein synthesis. Instead, rhythmic post-translational regulation of the activities of different proteins, influenced by the metabolic state of the cells, appears to be key to coordinating the physiology of the biological rhythm with cycling transcription. Thus, transcriptional and translational cycling reflects, rather than drives, metabolic and biosynthetic changes during biological rhythms. We propose that transcriptional changes are often the consequence, rather than the cause, of changes in cellular physiology and that caution is needed when inferring the activity of biological processes from transcript data. O_LIChanges in protein levels do not explain the changing states of a biological rhythm C_LIO_LISlow protein turnover rates decouple proteins levels from a rhythmic transcriptome C_LIO_LIMetabolites determine protein activity via rhythmic post-translational modifications C_LIO_LICycling protein activity explains rhythmic transcription and ribosome biogenesis C_LIO_LIA cycling transcriptome is a consequence, not a cause, of physiological changes C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/833921v2_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@25cad0org.highwire.dtl.DTLVardef@1265735org.highwire.dtl.DTLVardef@2779fdorg.highwire.dtl.DTLVardef@1b9efe5_HPS_FORMAT_FIGEXP M_FIG C_FIG
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- research focus: protein structure prediction
- approach: statistical model
- Citations
- 9
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