Circadian regulation in human white adipose tissue revealed by transcriptome and metabolic network analysis

Scientific Reports
Skevoulla ChristouJonathan D Johnston

Abstract

Studying circadian rhythms in most human tissues is hampered by difficulty in collecting serial samples. Here we reveal circadian rhythms in the transcriptome and metabolic pathways of human white adipose tissue. Subcutaneous adipose tissue was taken from seven healthy males under highly controlled 'constant routine' conditions. Five biopsies per participant were taken at six-hourly intervals for microarray analysis and in silico integrative metabolic modelling. We identified 837 transcripts exhibiting circadian expression profiles (2% of 41619 transcript targeting probes on the array), with clear separation of transcripts peaking in the morning (258 probes) and evening (579 probes). There was only partial overlap of our rhythmic transcripts with published animal adipose and human blood transcriptome data. Morning-peaking transcripts associated with regulation of gene expression, nitrogen compound metabolism, and nucleic acid biology; evening-peaking transcripts associated with organic acid metabolism, cofactor metabolism and redox activity. In silico pathway analysis further indicated circadian regulation of lipid and nucleic acid metabolism; it also predicted circadian variation in key metabolic pathways such as the citric ac...Continue Reading

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Citations

Jul 24, 2020·Journal of Biological Rhythms·Derk-Jan Dijk, Jeanne F Duffy
Aug 5, 2020·FEBS Letters·Anna-Marie FingerAchim Kramer
Apr 8, 2020·Cells·Kristin Eckel-MahanMikhail G Kolonin
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Mar 9, 2021·Cellular and Molecular Life Sciences : CMLS·Leonardo Vinícius Monteiro de Assis, Henrik Oster
Jan 31, 2020·Journal of Molecular Biology·Flore SinturelCharna Dibner
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Jul 1, 2021·Cardiology and Therapy·Lyudmila Korostovtseva
Aug 31, 2021·Frontiers in Endocrinology·Bettina SchuppeliusOlga Pivovarova-Ramich
Jan 18, 2022·The Journal of Physiology·Harry A Smith, James A Betts

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Datasets Mentioned

BETA
GPL15331
GSE87761

Methods Mentioned

BETA
biopsy
biopsies
ubiquitination
Feature Extraction

Software Mentioned

Agilent FE
iMAT
R
STRING
Fast iMAT
R package PathView
Agilent Feature Extraction
Agilent Feature Extraction Software
Ensembl Biomart
R Bioconductor package

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