Glycan degradation promotes macroautophagy.
Alice D BaudotVictoria Min-Yi WangJosh D LeachJim O'PreyJaclyn S LongViola Paulus-HockSergio LillaDavid M ThomsonJohn GreenhornFarah GhaffarColin NixonMiep H HelfrichDouglas StrathdeeJudith A PrattFrancesco MarchesiSara ZanivanKevin M RyanPublished in: Proceedings of the National Academy of Sciences of the United States of America (2022)
Macroautophagy promotes cellular homeostasis by delivering cytoplasmic constituents to lysosomes for degradation [Mizushima, Nat. Cell Biol. 20, 521-527 (2018)]. However, while most studies have focused on the mechanisms of protein degradation during this process, we report here that macroautophagy also depends on glycan degradation via the glycosidase, α-l-fucosidase 1 (FUCA1), which removes fucose from glycans. We show that cells lacking FUCA1 accumulate lysosomal glycans, which is associated with impaired autophagic flux. Moreover, in a mouse model of fucosidosis-a disease characterized by inactivating mutations in FUCA1 [Stepien et al. , Genes (Basel) 11, E1383 (2020)]-glycan and autophagosome/autolysosome accumulation accompanies tissue destruction. Mechanistically, using lectin capture and mass spectrometry, we identified several lysosomal enzymes with altered fucosylation in FUCA1-null cells. Moreover, we show that the activity of some of these enzymes in the absence of FUCA1 can no longer be induced upon autophagy stimulation, causing retardation of autophagic flux, which involves impaired autophagosome-lysosome fusion. These findings therefore show that dysregulated glycan degradation leads to defective autophagy, which is likely a contributing factor in the etiology of fucosidosis.
Keyphrases
- cell death
- induced apoptosis
- cell cycle arrest
- cell surface
- endoplasmic reticulum stress
- mass spectrometry
- mouse model
- signaling pathway
- oxidative stress
- high resolution
- stem cells
- genome wide
- cell proliferation
- bone marrow
- dna methylation
- high glucose
- capillary electrophoresis
- drug induced
- transcription factor
- living cells
- single molecule
- bioinformatics analysis