Back

Intraflagellar transport protein IFT172 contains a C-terminal ubiquitin-binding U-box-like domain involved in ciliary signaling

Zacharia, N. K.; Kuhns, S.; Boegholm, N.; Christensen, A.; Wang, J.; Petriman, N. A.; Lorentzen, A.; Fialova, J. L.; Menguy, L.; Saunier, S.; Christensen, S. T.; Andersen, J. S.; Bhogaraju, S.; lorentzen, e.

2024-11-05 biochemistry
10.1101/2024.11.05.620812 bioRxiv
Show abstract

Intraflagellar transport (IFT) is a fundamental process driving ciliogenesis in most eukaryotic organisms. IFT172, the largest protein of the IFT complex, plays a crucial role in cilium formation and is associated with several disease variants causing ciliopathies. While IFT172 is tethered to the IFT-B complex via its N-terminal domains, the function of its C-terminal domains has remained elusive. Here, we reveal that the C-terminal part of IFT172 interacts with IFT-A complex subunits, providing a molecular basis for the role of IFT172 in bridging IFT-A and IFT-B complexes. We determine the crystal structure of the C-terminal part of IFT172, uncovering a conserved U-box-like domain often found in E3 ubiquitin ligases. This domain exhibits ubiquitin-binding properties and auto-ubiquitination activity. The IFT172 auto-ubiquitination activity is reduced in the C1727R patient ciliopathy variant. We use CRISPR-engineered RPE-1 cells to demonstrate that the U-box-like domain is essential for IFT172 protein stability and proper cilium formation. Notably, RPE-1 cells with heterozygous deletion of the U-box domain show altered TGFB signaling responses, particularly in SMAD2 phosphorylation levels and AKT activation. Our findings suggest a novel dual role for IFT172 in both structural support within IFT trains and regulation of ciliary ubiquitination and signaling pathways, providing new insights into the molecular mechanisms underlying IFT172-related ciliopathies.

Published in eLife (predicted rank #5) · training set

Matching journals

The top 4 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.