2019
DOI: 10.1016/j.celrep.2019.11.053
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Systems-Genetics-Based Inference of a Core Regulatory Network Underlying White Fat Browning

Abstract: Graphical Abstract Highlights d The browning capacity of white adipose tissue is under complex genetic control d Genetic architecture of brite adipogenesis is built from several genetic models d Dozens of Ucp1 regulating factors are validated d A core browning regulatory network with four distinct regulatory modules is revealed Correspondence bart.deplancke@epfl.ch (B.D.), mk@tum.de (M.K.) In BriefBrowning of white fat, which turns an energy-storing organ into an energydissipating one, holds promise for the de… Show more

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Cited by 11 publications
(15 citation statements)
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“…Supporting this hypothesis, Ctcflos KD evoked a major change in alternative splicing patterns of many genes involved in adipogenesis, lipid metabolism, mitochondrial function, and splicing, beyond the above‐described splice events (Fig 6Z). Roughly one third of the differentially spliced genes were identified as candidates for browning regulation in our previous study (Li et al, 2019a).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Supporting this hypothesis, Ctcflos KD evoked a major change in alternative splicing patterns of many genes involved in adipogenesis, lipid metabolism, mitochondrial function, and splicing, beyond the above‐described splice events (Fig 6Z). Roughly one third of the differentially spliced genes were identified as candidates for browning regulation in our previous study (Li et al, 2019a).…”
Section: Resultsmentioning
confidence: 99%
“…Primary preadipocytes and differentiated adipocytes ((w/o) rosiglitazone), isolated from inguinal white adipose tissue (iWAT) of five inbred mouse strains of varying browning propensity (evaluated based on Ucp1 transcript levels in RPKM (reads per kilobase per million mapped reads)). Mean values ± SD, n = 3 (biological replicates) (Data ref: Array Express E‐MTAB‐8344, 2019) (Data ref: Li et al, 2019b) were subjected to RNA sequencing to identify regulated long noncoding (lnc) RNAs. BPrincipal component analysis (PCA) of undifferentiated and differentiated adipocyte samples, n = 3 (biological replicates). CHierarchical clustering of the long noncoding transcriptome of undifferentiated and differentiated adipocyte samples, n = 3 (biological replicates), Euclidean distance. DHeatmap, displaying row‐wise centered log2 normalized counts. E, FVenn diagrams of positively and negatively regulated lncRNAs selected according to correlation with Ucp1 , regulation during differentiation and regulation by rosiglitazone treatment, n = 3 (biological replicates). GGO term analysis of different mRNA clusters derived from lncRNA–mRNA coexpression network (according to Bai et al, 2017) that point toward lncRNA‐associated cellular processes, hypergeometric test.…”
Section: Resultsmentioning
confidence: 99%
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“…For example, a muscle-specific promoter containing clusters of transcription factor binding sites resulted in a 400-fold increase in muscle-specific gene transcription, better than the ubiquitous promoter CMV. 99 Future studies can test the strategy of incorporating adipose-specific CRMs 100 to enhance transgene expression in adipose tissue.…”
Section: Main Textmentioning
confidence: 99%