Back

Single-nucleus multi-omics identifies shared and distinct pathways in Pick's and Alzheimer's disease

Shi, Z.; Das, S.; Morabito, S.; Miyoshi, E.; Stocksdale, J.; Emerson, N.; Srinivasan, S. S.; Shahin, A.; Rahimzadeh, N.; Cao, Z.; Silva, J.; Castaneda, A. A.; Head, E.; Thompson, L.; Swarup, V.

2024-09-08 neuroscience
10.1101/2024.09.06.611761 bioRxiv
Show abstract

The study of transcriptomic and epigenomic variations in neurodegenerative diseases, particularly tauopathies like Picks disease (PiD) and Alzheimers disease (AD), offers insights into their underlying regulatory mechanisms. Here, we identified critical regulatory changes driving disease progression, revealing potential therapeutic targets. Our comparative analyses uncovered disease-enriched non-coding regions and genome-wide transcription factor (TF) binding differences, linking them to target genes. Notably, we identified a distal human-gained enhancer (HGE) associated with E3 ubiquitin ligase (UBE3A), highlighting disease-specific regulatory alterations. Additionally, fine-mapping of AD risk genes uncovered loci enriched in microglial enhancers and accessible in other cell-types. Shared and distinct TF binding patterns were observed in neurons and glial cells across PiD and AD. We validated our findings using CRISPR to excise a predicted enhancer region in UBE3A and developed an interactive database, scROAD, to visualize predicted single-cell TF occupancy and regulatory networks. TeaserComparative studies in AD and PiD reveal critical regulatory changes and identify risk gene associations for PiD.

Published in Science Advances (predicted rank #1) · training set

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.