Widespread discordance between mRNA expression, protein abundance and de novo lipogenesis activity in hepatocytes during the fed-starvation transition
Landgraf, A.; Okada, J.; Horton, M.; Liu, L.; Solomon, S.; Qiu, Y.; Kurland, I. J.; Sidoli, S.; Pessin, J. E.; Shinoda, K.
Show abstract
The mammalian liver plays a critical role in maintaining metabolic homeostasis during fasting and feeding. Liver function is further shaped by sex dimorphism and zonation of hepatocytes. To explore how these factors interact, we performed deep RNA-sequencing and label-free proteomics on periportal and pericentral hepatocytes isolated from male and female mice under fed and starved conditions. We developed a classification system to assess protein-mRNA relationship and found that gene products (mRNA or protein) for most zonation markers showed strong concordance between mRNA and protein. Although classical growth hormone regulated sex-biased gene products also exhibited concordance, [~]60% of sex-biased gene products showed protein-level enrichment without corresponding mRNA differences. In contrast, transition between feeding and starvation triggered widespread changes in mRNA expression without significantly affecting protein levels. In particular, key lipogenic mRNAs (e.g. Acly, Acaca, and Fasn) were dramatically induced by feeding, but their corresponding proteins (ACLY, ACC1, and FAS) showed little to no change even as functional de novo lipogenic activity increased [~]28-fold in the fed state. To facilitate further exploration of these findings, we developed Discorda (https://shinoda-lab.shinyapps.io/discorda/), a web database for interactive analysis. Our findings reinforce the principle that mRNA changes do not reliably predict corresponding protein levels (and vice versa), particularly in the context of sex and acute metabolic regulation of hepatocytes, and that de novo lipogenesis activity can be completely uncoupled from changes in protein expression.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A sexually dimorphic hepatic cycle of periportal VLDL generation and subsequent pericentral VLDLR-mediated lipoprotein re-uptake 96%
- Liver-innervating vagal sensory neurons play an indispensable role in the development of hepatic steatosis and anxiety-like behavior in mice fed a high-fat diet. 96%
- Lysates of Methylococcus capsulatus Bath induce a lean-like microbiota, intestinal FoxP3+RORγt+IL-17+ Tregs and improve metabolism 96%
Similar papers in this journal
- Spatial hepatocyte plasticity of gluconeogenesis during the metabolic transitions between fed, fasted and starvation states 98%
- Sexual dimorphism and the multi-omic response to exercise training in rat subcutaneous white adipose tissue 96%
- Serine catabolism generates NADPH to support hepatic lipogenesis 96%
Similar papers in this journal
- Oral supplementation of gut microbial metabolite indole-3-acetate alleviates diet-induced steatosis and inflammation in mice 96%
- Vitamin B2 enables peroxisome proliferator-activated receptor α regulation of fasting glucose availability 96%
- Leveraging inter-individual transcriptional correlation structure to infer discrete signaling mechanisms across metabolic tissues 96%
Similar papers in this journal
- Revealing grand-paternal programming of lipid metabolism using a novel computational tool 97%
- Molecular programming in utero modulates hepatic lipid metabolism and adult metabolic risk in obese mother offspring in a sex-specific manner 96%
- Single-nucleus multiomic analysis of Beckwith-Wiedemann syndrome liver reveals PPARA signaling enrichment and metabolic dysfunction 95%
Similar papers in this journal
- Trans-omic analysis reveals opposite metabolic dysregulation between feeding and fasting in liver associated with obesity 96%
- High Glucose Diet Induces Hepatic Iron Overload Contributing to Metabolic Dysfunction 95%
- An adipocyte-specific lncRAP2 - Igf2bp2 complex enhances adipogenesis and energy expenditure by stabilizing target mRNAs 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.