Biology subjects

Feizi, A.

Publications and source records attributed to Feizi, A..

4 recordsLinked to original sources

bioRxiv2024

Brown Bears activates a Satiety Hormone Cholecystokinin (CCK) pathway in adipose tissue during hibernation

The brown bear (Ursus arctos) hibernates to survive cold winters without access to food. It builds enormous subcutaneous fat stores during summer and relies on it for energy during winter. Remarkably, the weight loss during winter occurs without muscle loss despite inactivity. Studying brown bear biology can therefore provide insights for improving human health in obesity and weight loss treatments. We here investigate subcutaneous adipose tissue biopsies obtained during summer and winter from free-living brown bears. During winter, a signature of genes involved in food intake and digestion is upregulated. Among these are several regulators of satiety, substrate transport and lipid metabolism. Interestingly, in humans these genes are enriched in distinct metabolic organs including, brain, intestine, stomach, liver and even salivary glands. We focused on the satiety brain/intestinal hormone cholecystokinin (CCK), which we demonstrate is produced in adipocytes, accompanied by an upregulation of the CCK receptor CCKBR. Importantly, CCK was undetectable in the circulation during winter and presence of sensory neurons suggest a neuronal feedback mechanism within the adipose tissue. Using RNA sequencing, we predict additionally 537 secreted proteins to be seasonally regulated, 37 of which could be confirmed with plasma proteomics. In conclusion, we propose that brown bears have developed a strategy of healthy fat burning and satiety regulation through an adipose tissue-contained mechanism which includes digestion factors and satiety mediators to provide safe energy turnover during hibernation-dependent weight loss.

molecular biology↗

bioRxiv2021

Genome scale modeling of the protein secretory pathway reveals novel targets for improved recombinant protein production in yeast

Eukaryal cells are used for the production of many recombinant pharmaceutical proteins, including several of the current top-selling products. The protein secretory pathway in eukaryal cells is complex and involves many different processes such as post-translational modifications, translocation, and folding. Furthermore, recombinant protein production competes with native secretory proteins for the limited energy and proteome resources allocated to the protein secretory pathway. Due to the complexity of this pathway, improvement through metabolic engineering has traditionally been relatively ad-hoc; and considering the industrial importance of this pathway, there is a need for more systematic approaches for novel design principles. Here, we present the first proteome-constrained genome-scale protein secretory model of a eukaryal cell, namely for the yeast Saccharomyces cerevisiae (pcSecYeast). The model contains all key processes of this pathway, i.e., protein translation, modification, and degradation coupled with metabolism. The model can capture delicate phenotypic changes such as the switch in the use of specific glucose transporters in response to changing extracellular glucose concentration. Furthermore, the model can also simulate the effects of protein misfolding on cellular growth, suggesting that retro-translocation of misfolded proteins contributes to protein retention in the Endoplasmic reticulum (ER). We used pcSecYeast to simulate various recombinant proteins production and identified overexpression targets for different recombinant proteins overproduction. We experimentally validated many of the predicted targets for -amylase production in this study, and the results show that the secretory pathways have more limited capacity than metabolism in terms of protein secretion.

systems biology↗

bioRxiv2018

Asymmetric perirenal brown adipose dormancy in adult humans is defined by local sympathetic activity

We here detect dormant brown adipose tissue (BAT) in adult humans, occurring in most of the perirenal fat depot and characterized by a unilocular morphology. This phenotype was contrasted by multilocular BAT accumulating near the adrenal gland. Transcriptomic analysis revealed a gene expression profile of unilocular BAT that was approaching, yet was still distinct from, the expression profile of subcutaneous white adipose tissue (WAT). Candidate gene signatures were recapitulated in a murine model of unilocular brown fat induced by thermoneutrality and high fat diet. We identified SPARC as a candidate adipokine representing a dormant BAT state in the absence of sympathetic activation and CLSTN3 as a novel marker for multilocular BAT. Brown fat precursor cells were present in the entire perirenal fat depot, regardless of state. When differentiated in vitro, these cells responded to acute norepinephrine stimulation by increasing UCP1 gene expression and uncoupled respiration, confirming a BAT phenotype. We thus propose a mechanism for the reduction of functionally competent BAT in adult humans and we provide a solid data set for future research on factors that can reactivate dormant BAT as a potential strategy for combatting obesity and metabolic disease.

physiology↗

bioRxiv2018

Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion

In mammalian cells, >25% of synthesized proteins are exported through the secretory pathway. The pathway complexity, however, obfuscates its impact on the secretion of different proteins. Unraveling its impact on diverse proteins is particularly important for biopharmaceutical production. Here we delineate the core secretory pathway functions and integrate them with genome-scale metabolic reconstructions of human, mouse, and Chinese hamster cells. The resulting reconstructions enable the computation of energetic costs and machinery demands of each secreted protein. By integrating additional omics data, we find that highly secretory cells have adapted to reduce expression and secretion of other expensive host cell proteins. Furthermore, we predict metabolic costs and maximum productivities of biotherapeutic proteins and identify protein features that most significantly impact protein secretion. Finally, the model successfully predicts the increase in secretion of a monoclonal antibody after silencing a highly expressed selection marker. This work represents a knowledgebase of the mammalian secretory pathway that serves as a novel tool for systems biotechnology.

systems biology↗