Kinetic Trans-omic Analysis Reveals Key Regulatory Mechanisms for Insulin-Regulated Glucose Metabolism in Adipocytes

Ohno, Satoshi; Quek, Lake Ee; Krycer, James R.; Yugi, Katsuyuki; Hirayama, Akiyoshi; Ikeda, Satsuki; Suzuki, Kumi; Soga, Tomoyoshi; James, David E.; Kuroda, Shinya

doi:10.1016/j.isci.2020.101479

Cited by 20 publications

(21 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Concretely, we recorded a new shape in hormonal (steroid) profile including decrease in cortisol (glucocorticoid), 21-deoxycortisol 41 , and also cortexolone a precursor of cortisol when catalyzed by the enzyme cytochrome P450 42 . There is a concomitant change in the energy metabolism of sugars, energy metabolism in general, which results in decrease of xylose, sucrose, raffinose, cellobiose, trehalose 43 or of glucose-6-phosphate 44 . The decrease in glucose-6-phosphate could be linked to the increase in 6-aminopyridine-3-carboxylic acid (Strain*Interaction), also known as 6-aminonicotinamide (6-AN).…”

Section: Discussionmentioning

confidence: 99%

Evidence of a hormonal reshuffle in the cecal metabolome fingerprint of a strain of rats resistant to decompression sickness

Vallée

Dugrenot

Desruelle

et al. 2021

Sci Rep

View full text Add to dashboard Cite

On one side, decompression sickness (DCS) with neurological disorders lead to a reshuffle of the fecal metabolome from rat caecum. On the other side, there is high inter-individual variability in terms of occurrence of DCS. One could wonder whether the fecal metabolome could be linked to the DCS-susceptibility. We decided to study male and female rats selected for their resistance to decompression sickness, and we hypothesize a strong impregnation concerning the fecal metabolome. The aim is to verify whether the rats resistant to the accident have a fecal metabolomic signature different from the stem generations sensitive to DCS. 39 DCS-resistant animals (21 females and 18 males), aged 14 weeks, were compared to 18 age-matched standard Wistar rats (10 females and 8 males), i.e., the same as those we used for the founding stock. Conventional and ChemRICH approaches helped the metabolomic interpretation of the 226 chemical compounds analyzed in the cecal content. Statistical analysis shows a panel of 81 compounds whose expression had changed following the selection of rats based on their resistance to DCS. 63 compounds are sex related. 39 are in common. This study shows the spectral fingerprint of the fecal metabolome from the caecum of a strain of rats resistant to decompression sickness. This study also confirms a difference linked to sex in the metabolome of non-selected rats, which disappear with selective breeding. Results suggest hormonal and energetic reshuffle, including steroids sugars or antibiotic compounds, whether in the host or in the microbial community.

show abstract

Section: Discussionmentioning

confidence: 99%

Evidence of a hormonal reshuffle in the cecal metabolome fingerprint of a strain of rats resistant to decompression sickness

Vallée

Dugrenot

Desruelle

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Adipose tissue is an obvious choice. We analyzed the trans-omic network of insulin signaling in differentiated 3T3 adipocytes ( Krycer et al., 2017 ; Quek et al., 2020 ; Ohno et al., 2020 ). We intend to apply our trans-omic approach to investigating inter-organ metabolic cycles between adipose tissue and other organs in vivo in the future.…”

Section: Discussionmentioning

confidence: 99%

Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle

et al. 2021

Self Cite

View full text Add to dashboard Cite

Summary Systemic metabolic homeostasis is regulated by inter-organ metabolic cycles involving multiple organs. Obesity impairs inter-organ metabolic cycles, resulting in metabolic diseases. The systemic landscape of dysregulated inter-organ metabolic cycles in obesity has yet to be explored. Here, we measured the transcriptome, proteome, and metabolome in the liver and skeletal muscle and the metabolome in blood of fasted wild-type and leptin-deficient obese ( ob / ob ) mice, identifying components with differential abundance and differential regulation in ob / ob mice. By constructing and evaluating the trans-omic network controlling the differences in metabolic reactions between fasted wild-type and ob / ob mice, we provided potential mechanisms of the obesity-associated dysfunctions of metabolic cycles between liver and skeletal muscle involving glucose-alanine, glucose-lactate, and ketone bodies. Our study revealed obesity-associated systemic pathological mechanisms of dysfunction of inter-organ metabolic cycles.

show abstract

“…1d). This scarcity is caused not only by the low frequency of cells entering in a switching period but also by the short duration of the period itself [13][14][15] .…”

Section: Mainmentioning

confidence: 99%

“…1d). This scarcity is caused not only by the low frequency of cells entering in a switching period but also by the short duration of the period itself [13][14][15] .Another approach is a longitudinal analysis, such as live-cell imaging (LCI) techniques, that can reliably capture a switching period even if it is infrequent and short by visualizing the molecules associated with the fate determination process 2,10,13,16,17 . However, the LCI analysis misses a broader view of potential factors due to its predetermined molecular dynamics.Here we report the development of the Time-Dependent Cell-State Selection (TDCSS) technique that combine advantages of LCI and single-cell transcriptome analyses (Fig.…”

mentioning

confidence: 99%

Decoding Activation of ILC2 using Time-Dependent Cell-State Selection

Tanaka¹,

Yamagishi²,

Motomura³

et al. 2021

Preprint

View full text Add to dashboard Cite

Cell fate determination, a fundamental process of life, is controlled through dynamic intracellular molecular networks. However, the low population of cells at the switching period of fate determination has made it technically difficult to analyze the transcriptome of the stage. Here we developed the Time-Dependent Cell-State Selection (TDCSS) technique, which detects an index of the switching period by live-cell imaging of secretion activity followed by simultaneous recoveries of the indexed cells for subsequent transcriptome analysis. Specifically, we used the TDCSS technique to study the switching period of group2 innate lymphoid cells (ILC2s) activation indexed by interleukin (IL)-13 secretion onset. TDCSS newly classified time-dependent genes, including transiently induced genes (TIGs). The finding of IL4 and MIR155HG as TIGs demonstrated their regulatory function of ILC2s activation.

show abstract

Kinetic Trans-omic Analysis Reveals Key Regulatory Mechanisms for Insulin-Regulated Glucose Metabolism in Adipocytes

Cited by 20 publications

References 65 publications

Evidence of a hormonal reshuffle in the cecal metabolome fingerprint of a strain of rats resistant to decompression sickness

Evidence of a hormonal reshuffle in the cecal metabolome fingerprint of a strain of rats resistant to decompression sickness

Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle

Decoding Activation of ILC2 using Time-Dependent Cell-State Selection

Contact Info

Product

Resources

About