Back

RNA Targets and Function of Topoisomerase 3β in Reducing Stress inNeuronal Physiology

Teimuri, S.; Baroi Sayor, M.; Suter, B.

2023-05-25 cell biology
10.1101/2023.05.25.542246 bioRxiv
Show abstract

Topoisomerase 3{beta} (Top3{beta}) works not only on DNA but also RNA. We isolated and identified the naturally cross-linked RNA targets of Drosophila Top3{beta} from an early embryonic stage that contains almost exclusively maternal mRNAs. Favorite targets were longer RNAs, RNAs with many splice sites, and RNAs that become localized in large cells. Demonstrating the importance of its enzymatic activity, Top3{beta} without the hydroxyl group that makes the covalent bond to the RNA, did not allow normal expression and subcellular localization of tested gene products of the identified targets. Top3{beta} is not essential for development to the adult stage but to maintain the morphology of the neuromuscular junction in adult flies and to prevent premature loss of coordinated movement and aging. Alterations in human Top3{beta} have been associated with several neurological diseases and cancers. The homologs of genes and (pre)mRNAs mis-expressed in these conditions show the same characteristics identified in the Drosophila Top3{beta} targets, suggesting that Drosophila could model the function of human Top3{beta}. Indeed, an in vivo test of this model showed that the enzymatic activity of Top3{beta} reduces the neurodegeneration caused by the human (G4C2)49 RNA. Together, these studies show that Top3{beta} plays important roles in normal gene expression, particularly for large genes and long and complex transcripts that need to be transported and translationally controlled. Its absence stresses the cells, seemingly increasing the chances of contracting various neuronal and neurodegenerative diseases and cancers.

Matching journals

The top 3 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.