Biology subjects

Cherkaoui, S.

Publications and source records attributed to Cherkaoui, S..

4 recordsLinked to original sources

bioRxiv2024

Reprogramming neuroblastoma by diet-enhanced polyamine depletion

Neuroblastoma is a highly lethal childhood tumor derived from differentiation-arrested neural crest cells1,2. Like all cancers, its growth is fueled by metabolites obtained from either circulation or local biosynthesis3,4. Neuroblastomas depend on local polyamine biosynthesis, with the inhibitor difluoromethylornithine showing clinical activity5. Here we show that such inhibition can be augmented by dietary restriction of upstream amino acid substrates, leading to disruption of oncogenic protein translation, tumor differentiation, and profound survival gains in the TH-MYCN mouse model. Specifically, an arginine/proline-free diet decreases the polyamine precursor ornithine and augments tumor polyamine depletion by difluoromethylornithine. This polyamine depletion causes ribosome stalling, unexpectedly specifically at adenosine-ending codons. Such codons are selectively enriched in cell cycle genes and low in neuronal differentiation genes. Thus, impaired translation of these codons, induced by the diet-drug combination, favors a pro-differentiation proteome. These results suggest that the genes of specific cellular programs have evolved hallmark codon usage preferences that enable coherent translational rewiring in response to metabolic stresses, and that this process can be targeted to activate differentiation of pediatric cancers. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=192 SRC="FIGDIR/small/573662v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@1fdbaecorg.highwire.dtl.DTLVardef@fb03f4org.highwire.dtl.DTLVardef@1c0afa7org.highwire.dtl.DTLVardef@14c384f_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights- Extra-tumoral conversion of arginine feeds tumor ornithine via uptake from circulation in MYCN-neuroblastoma. - A proline and arginine free diet enhances pharmacological polyamine depletion via reduced ornithine substrate availability. - Polyamine depletion disrupts oncogenic translation to induce a pro-differentiation proteome causing neuroblast differentiation and prolonged survival in the TH-MYCN mouse model. - Genes of specific cellular programs have evolved codon usage preferences that enable coherent translational rewiring in response to metabolic stress, such as polyamine depletion.

cancer biology↗

bioRxiv2023

GLUD1 dictates muscle stem cell differentiation by controlling mitochondrial glutamate levels

Muscle stem cells (MuSCs) enable muscle growth and regeneration after exercise or injury. Upon activation MuSCs metabolically rewire to meet the changing demands of proliferation. Here we describe that primary changes in metabolism itself can dictate MuSC fate decisions to control differentiation and fusion. We found that glutamine anaplerosis into the TCA cycle decreases during MuSC differentiation and coincides with decreased expression of the mitochondrial glutamate deaminase GLUD1. Genetic deletion of Glud1 in proliferating MuSCs resulted in precocious differentiation and imbalanced fusion combined with loss of self-renewal in vitro and in vivo. Mechanistically, deleting Glud1 caused mitochondrial glutamate accumulation in proliferating MuSCs and inhibited the malate-aspartate shuttle (MAS). Restoring MAS activity by supplementation of alanine normalized differentiation. In conclusion, high GLUD1 activity in proliferating MuSCs prevents deleterious mitochondrial glutamate accumulation and inactivation of the MAS. It thereby acts as a compartment specific metabolic brake on MuSC differentiation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=194 SRC="FIGDIR/small/560525v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@e3585dorg.highwire.dtl.DTLVardef@1be4a54org.highwire.dtl.DTLVardef@1f077org.highwire.dtl.DTLVardef@15220f1_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGlutamine is the major TCA cycle substrate in MuSCs with decreasing contribution upon differentiation. C_LIO_LILoss of Glud1 impairs MuSC self-renewal capacity and causes imbalanced fusion in vitro and in vivo. C_LIO_LIGlud1 deletion leads to mitochondrial glutamate trapping and malate-aspartate shuttle (MAS) dysfunction. C_LIO_LIRestoration of MAS activity in Glud1 deficient MuSCs reverses precocious differentiation and imbalanced fusion. C_LI

cell biology↗

bioRxiv2023

Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results

Studies combining metabolomics and genetics, known as metabolite genome-wide association studies (mGWAS), have provided valuable insights into our understanding of the genetic control of metabolite levels. However, the biological interpretation of these associations remains challenging due to a lack of existing tools to annotate mGWAS gene-metabolite pairs beyond the use of conservative statistical significance threshold. Here, we computed the shortest reactional distance (SRD) based on the curated knowledge of the KEGG database to explore its utility in enhancing the biological interpretation of results from three independent mGWAS, including a case study on sickle cell disease patients. Results show that, in reported mGWAS pairs, there is an excess of small SRD values and that SRD values and p-values significantly correlate, even beyond the standard conservative thresholds. The added-value of SRD annotation is shown for identification of potential false negative hits, exemplified by the finding of gene-metabolite associations with SRD [≤]1 that did not reach standard genome-wide significance cut-off. The wider use of this statistic as an mGWAS annotation would prevent the exclusion of biologically relevant associations and can also identify errors or gaps in current metabolic pathway databases. Our findings highlight the SRD metric as an objective, quantitative and easy-to-compute annotation for gene-metabolite pairs that can be used to integrate statistical evidence to biological networks.

systems biology↗

bioRxiv2021

Epithelial-mesenchymal transition is the main driver of intrinsic metabolism in cancer cell lines

A fundamental feature of cancer cells is genomic heterogeneity. It is a main driver of phenotypic differences, including the response to drugs, and therefore a key factor in therapy selection. Motivated by the increasing role attributed to metabolic reprogramming in tumor development, we wondered how genomic heterogeneity affects metabolic phenotype. To this end, we profiled the intracellular metabolome of 180 cancer cell lines grown in similar conditions to exclude environmental factors. For each cell line, we estimate activity for 49 pathways across the whole metabolic network. Upon clustering of activity data, we found a convergence into only two major metabolic types. These were further characterized by 13C-flux analysis, lipidomics, and analysis of sensitivity to perturbations. These experiments revealed differences in lipid, mitochondrial, and carbohydrate metabolism between the two major types. Finally, a thorough integration of our metabolic data with multiple omics data revealed a strong association with markers of epithelial-mesenchymal transition (EMT). Our analysis indicates that in absence of variations imposed by the microenvironment, the metabolism of cancer cell lines falls into only two major classes despite genetic heterogeneity.

systems biology↗