bioRxivSystems BiologyPreprint
Fatty acid metabolic interactome atlas linked to cellular longevity
Arshia NaaziD, 高铭彤, Yizhong ZhangiD, Rajkumar DorajooiD, Brian Keith KennedyiD, Mohammad AlfatahiD
Abstract
Fatty acid biosynthesis is a central metabolic process required for membrane formation, organelle maintenance, and cellular proliferation, yet its broader relationship with stress responses and cellular aging remains incompletely understood. Here, we combined human and yeast interactome analyses with transcriptomic profiling and chronological lifespan assays to investigate the systems-level organization of fatty acid metabolic pathways and their relationship to cellular longevity. Integrated interactome mapping of mammalian fatty acid metabolic regulators, including ACACA, FASN, SCD, ACSL, ELOVL, and SLC27 family proteins, together with conserved yeast orthologs including ACC1, FAS1/FAS2, ELO1-3, OLE1, FAA1-4, ACS1/ACS2, and FAT1 revealed strong enrichment of anabolic growth regulation, membrane organization, vesicle trafficking, proteostasis, and endoplasmic reticulum (ER)-associated stress pathways. In yeast, fatty acid metabolic networks segregated into distinct anabolic and membrane-associated functional modules. Pharmacological inhibition of fatty acid synthesis using cerulenin suppressed cellular proliferation while extending chronological lifespan and induced broad downregulation of translation-associated anabolic pathways together with activation of stress-associated and membrane lipid remodeling programs. ER-associated interactome analyses of DPAGT1 and ALG7 further identified strong enrichment of membrane trafficking and unfolded protein response (UPR)-associated pathways, while pharmacological ER stress induction using tunicamycin also promoted enhanced chronological longevity. Collectively, our findings support a conserved model in which perturbation of fatty acid metabolic pathways remodels anabolic growth and ER-associated stress responses to promote cellular longevity.
- organism: human
- organism: yeast
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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