Loss of TDP-43 oligomerization or RNA binding elicits distinct aggregation patterns.
Manuela Pérez-BerlangaVera I WiersmaAurélie ZbindenLaura De VosUlrich WagnerChiara FoglieniIzaskun MallonaKatharina M HembachAntoine CléryJulien WeberZhongning GuoRuben RigortPierre de RossiRuchi MangluniaElena TantardiniSonu SahadevanOliver StachMarian Hruska-PlochanFrederic H-T AllainPaolo PaganettiMagdalini PolymenidouPublished in: The EMBO journal (2023)
Aggregation of the RNA-binding protein TAR DNA-binding protein 43 (TDP-43) is the key neuropathological feature of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). In physiological conditions, TDP-43 is predominantly nuclear, forms oligomers, and is contained in biomolecular condensates assembled by liquid-liquid phase separation (LLPS). In disease, TDP-43 forms cytoplasmic or intranuclear inclusions. How TDP-43 transitions from physiological to pathological states remains poorly understood. Using a variety of cellular systems to express structure-based TDP-43 variants, including human neurons and cell lines with near-physiological expression levels, we show that oligomerization and RNA binding govern TDP-43 stability, splicing functionality, LLPS, and subcellular localization. Importantly, our data reveal that TDP-43 oligomerization is modulated by RNA binding. By mimicking the impaired proteasomal activity observed in ALS/FTLD patients, we found that monomeric TDP-43 forms inclusions in the cytoplasm, whereas its RNA binding-deficient counterpart aggregated in the nucleus. These differentially localized aggregates emerged via distinct pathways: LLPS-driven aggregation in the nucleus and aggresome-dependent inclusion formation in the cytoplasm. Therefore, our work unravels the origins of heterogeneous pathological species reminiscent of those occurring in TDP-43 proteinopathy patients.
Keyphrases
- amyotrophic lateral sclerosis
- binding protein
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- nucleic acid
- spinal cord
- peritoneal dialysis
- endothelial cells
- deep learning
- genome wide
- single molecule
- artificial intelligence
- circulating tumor cells
- big data
- patient reported
- data analysis