TFEB Orchestrates Stress Recovery and Paves the Way for Senescence Induction in Human Dermal Fibroblasts
Cells experience oxidative stress and widespread cellular damage during stress-induced premature senescence (SIPS). Senescent cells show an increase in lysosomal content, which may contribute to mitigating cellular damage by promoting autophagy. This study investigates the dynamics of lysosomal quality control in human dermal fibroblasts (HDF), specifically examining lysosomal signaling pathways during oxidative stress-induced SIPS. Our results reveal distinct signaling responses between the initial stress phase and the ensuing senescent phenotype. During the stress phase, treatment with tBHP, which undermines the antioxidant response, leads to elevated reactive oxygen species (ROS) and lysosomal damage. ROS accumulation activates AMP-activated protein kinase (AMPK) and inhibits Akt, which correlates with the suppression of mammalian target of rapamycin (mTOR). Inactivation of mTOR during this phase aligns with the activation of transcription factor EB (TFEB), a key regulator of autophagy and lysosomal biogenesis. TFEB knockdown under stress increased apoptosis, highlighting the protective role of TFEB in the stress response. As cells transition to senescence, TFEB activity, required for the autophagic damage repair, becomes less critical. The decrease in ROS levels leads to the normalization of AMPK and Akt signaling, accompanied by the reactivation of mTOR. This reactivation of mTOR, which is critical for establishing the senescent state, is observed alongside the inactivation of TFEB. Consequently, as damage decreases, TFEB activity decreases. Our results suggest a dynamic interplay between TFEB and mTOR, highlighting a critical role of TFEB in ensuring cellular survival during SIPS induction but becoming dispensable once senescence is established. Overall design: Bulk RNA-seq was performed on HFF-2 human dermal fibroblasts with TFEB knockdown and control samples under oxidative stress (tBHP treatment for 4 days). RNA extraction was done using the Monarch Total RNA Miniprep kit, and sequencing was performed using Illumina NovaSeq 6000 with paired-end 150bp reads. STAR was used for alignment, Salmon for quantification, and DESeq2 for differential expression analysis.