← BioTransfer GEO Dataset Finder
GEO series

Mitochondria-lysosome coupling contributes to lysosome acidification and aging

GSE292573 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/03/20 Platform GPL34284
Summary
Nearly all cellular processes are pH dependent. The acidic pH inside the lysosome (vacuole in yeast) is essential for cellular content degradation, signaling, and autophagy. Defect in lysosome/vacuole acidification is a conserved hallmark of aging and age-related diseases. Traditionally, lysosome/vacuole is thought to import free protons (H⁺) from the surrounding neutral cytosol. In this study, we uncovered a previously unrecognized, conserved lysosome/vacuole acidification mechanism, involving lysosomal/vacuolar uptake of H+ pumped out by mitochondrial electron transport chain through membrane contacts between mitochondria and lysosomes/vacuoles. Aging/senescence-associated disruption of mitochondria-lysosome/vacuole contacts causes lysosomal/vacuolar de-acidification, which can be reversed by expressing a linker to connect these organelles and through an asymmetry-dependent rejuvenation process in daughter cells. Preserving lysosomal acidification in senescent human cells prevents the induction of major senescence-associated secretory phenotype factors and enhances autophagic flux. These findings reshape our current understanding of the mechanisms underlying lysosomal/vacuolar (de-)acidification in both young and aged/senescent cells.
Published in
Mitochondria-lysosome coupling contributes to lysosome acidification and aging
Liu Q, Yoo S, Zhang ZA et al. · Molecular cell 2026 · PMID 42214330 · doi:10.1016/j.molcel.2026.05.004
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE292573_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1240233 and SRA study SRP572225. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.