Esc1-mediated anchoring regulates telomere clustering in response to metabolic changes.
Ruault, M.; Loiodice, i.; Keister, B. D.; Even, A.; Garnier, M.; Perez, M. B.; Waterman, D. P.; Haber, J. E.; Blagoev, K. B.; Scolari, V.; Taddei, A.
Show abstract
Spatial organization of yeast telomeres is highly dynamic and regulated by growth conditions. In rich medium, the 32 telomeres group in 3 to 5 foci at the nuclear periphery. This organization is drastically rearranged in long-lived quiescent (Q) cells forming upon carbon source exhaustion: telomere foci assemble into a hypercluster containing most telomeres and located in the center of the nucleus contributing to their long-term viability. Here we explore the mechanisms regulating telomere distribution during this transition. We rule out a modification of telomere-telomere interactions via the telomeric protein Sir3 as the main factor regulating hypercluster formation. However, our physical modeling predicts that telomere anchoring antagonizes telomere clustering. Systematic deletion of all known telomere anchors identifies the inner nuclear membrane-associated protein Esc1, as a key telomeric anchor after the diauxic shift. Our data support a model where Esc1 mediated anchoring is progressively lost upon entry into quiescence through dephosphorylation of a single residue of Esc1, resulting in the formation of telomere hyperclusters in the center of the nucleus in Q cells.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- S. pombe DNA translocases Rrp1 and Rrp2 have distinct roles at centromeres and telomeres that ensure genome stability. 97%
- SAF-A promotes origin licensing and replication fork progression to ensure robust DNA replication 96%
- Decapping complex is essential for functional P-body formation and is buffered by nuclear localization 96%
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.