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Rhythmic potassium transport regulates the circadian clock in human red blood cells.

Erin A Henslee | Priya Crosby | Stephen J Kitcatt | Jack S W Parry | Andrea Bernardini | Rula G Abdallat | Gabriella Braun | Henry O Fatoyinbo | Esther J Harrison | Rachel S Edgar | Kai F Hoettges | Akhilesh B Reddy | Rita I Jabr | Malcolm von Schantz | John S O'Neill | Fatima H Labeed
Nature communications | 2017

Circadian rhythms organize many aspects of cell biology and physiology to a daily temporal program that depends on clock gene expression cycles in most mammalian cell types. However, circadian rhythms are also observed in isolated mammalian red blood cells (RBCs), which lack nuclei, suggesting the existence of post-translational cellular clock mechanisms in these cells. Here we show using electrophysiological and pharmacological approaches that human RBCs display circadian regulation of membrane conductance and cytoplasmic conductivity that depends on the cycling of cytoplasmic K+ levels. Using pharmacological intervention and ion replacement, we show that inhibition of K+ transport abolishes RBC electrophysiological rhythms. Our results suggest that in the absence of conventional transcription cycles, RBCs maintain a circadian rhythm in membrane electrophysiology through dynamic regulation of K+ transport.

Pubmed ID: 29215003

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Associated grants

  • Agency: Wellcome Trust, United Kingdom
    Id: 093734/Z/10/Z
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UP_1201/4
  • Agency: Cancer Research UK, United Kingdom
    Id: FC001534
  • Agency: Wellcome Trust, United Kingdom
    Id: FC001534
  • Agency: Wellcome Trust, United Kingdom
  • Agency: Medical Research Council, United Kingdom
    Id: FC001534
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/M021556/1

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PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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