Distinct Flower signaling domains orchestrate cellular fitness via secreted vesicles in Aβ-induced neurodegeneration
Chang, H.-F.; Tu, S.-M.; Lin, C.-H.; Liu, Y.; Hohneck, J.; Jung, M.; Clemenz, A.; Rother, S.; Schirra, C.; Schwarz, Y.; Krause, E.; Schulz-Schaeffer, W. J.; Flockerzi, V.; Yao, C.-K.
Show abstract
Flower isoforms regulate cellular fitness and are implicated in neurodegeneration and tumor progression, yet their mechanisms remain unclear. Using Flower knockout mice, we identify the N- and C-terminal domains as distinct signaling modules: the C-terminus promotes survival of fitter ( winner) cells via intrinsic signaling, while the N-terminus induces apoptosis of neighboring less-fit ( loser) cells via extrinsic signaling. Notably, Flower signaling operates via secreted extracellular vesicles (EVs), with the win isoform exhibiting [~]25-fold higher secretion than the lose, thereby facilitating intercellular fitness selection. In Alzheimers disease human brain tissue and APP transgenic mice, win isoforms are enriched in astrocytes near amyloid-{beta} plaques, suggesting localized fitness surveillance. In cortical neuron-glia cultures, overexpression of the win isoform or its C-terminal domain enhances astrocytic A{beta} clearance and protects neurons from A{beta} toxicity. These findings uncover a novel Flower signaling pathway controlling cell death, providing new insights into EV-mediated communication with therapeutic potential in neurodegeneration.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- S-Nitrosylation of CRTC1 in Alzheimer's disease impairs CREB-dependent gene expression induced by neuronal activity 97%
- Amyloid Beta Glycation Induces Neuronal Mitochondrial Dysfunction and Alzheimers Pathogenesis via VDAC1-Dependent mtDNA Efflux 96%
- Regulation of beta-amyloid production in neurons by astrocyte-derived cholesterol 95%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.