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Ivanov, T.

Publications and source records attributed to Ivanov, T..

2 recordsLinked to original sources

Multiple competing RNA structures dynamically control alternative splicing in human ATE1 gene

The mammalian Ate1 gene encodes an arginyl transferase enzyme, which is essential for embryogenesis, male meiosis, and regulation of the cytoskeleton. Reduced levels of Ate1 are associated with malignant transformations and serve as a prognostic indicator of prostate cancer metastasis. The tumor suppressor function of Ate1 depends on the inclusion of one of the two mutually exclusive exons (MXE), exons 7a and 7b. Here, we report that the molecular mechanism underlying MXE splicing in Ate1 involves five conserved regulatory intronic elements R1-R5, of which R1 and R4 compete for base pairing with R3, while R2 and R5 form an ultra-long-range RNA structure spanning 30 Kb. In minigenes, single and double mutations that disrupt base pairings in R1R3 and R3R4 lead to the loss of MXE splicing, while compensatory triple mutations that restore the RNA structure also revert splicing to that of the wild type. Blocking the competing base pairings by locked nucleic acid (LNA)/DNA mixmers complementary to R3 leads to the loss of MXE splicing, while the disruption of the ultra-long-range R2R5 interaction changes the ratio of mutually exclusive isoforms in the endogenous Ate1 pre-mRNA. The upstream exon 7a becomes more included than the downstream exon 7b in response to RNA Pol II slowdown, however it fails to do so when the ultra-long-range R2R5 interaction is disrupted. In sum, we demonstrated that mutually exclusive splicing in Ate1 is controlled by two independent, dynamically interacting and functionally distinct RNA structure modules. The molecular mechanism proposed here opens new horizons for the development of therapeutic solutions, including antisense correction of splicing.

molecular biology

Competitive state of actions during planning predicts sequence execution accuracy.

Humans can learn and retrieve novel skilled movement sequences from memory, yet the content and structure of sequence planning are not well understood. Previous computational and neurophysiological work suggests that actions in a sequence are planned as parallel graded activations and selected for output through competition (competitive queuing; CQ). However, the relevance of CQ during planning to sequence fluency and accuracy, as opposed to sequence timing, is unclear. To resolve this question, we assessed the competitive state of constituent actions behaviourally during sequence preparation. In three separate multi-session experiments, 55 healthy participants were trained to retrieve and produce 4-finger sequences with particular timing from long-term memory. In addition to sequence production, we evaluated reaction time (RT) and error rate increase to constituent action probes at several points during the preparation period. Our results demonstrate that longer preparation time produces a steeper CQ activation and selection gradient between adjacent sequence elements, whilst no effect was found for sequence speed or temporal structure. Further, participants with a steeper CQ gradient tended to produce correct sequences faster and with a higher temporal accuracy. In a computational model, we hypothesize that the CQ gradient during planning is driven by the width of acquired positional tuning of each sequential item, independently of timing. Our results suggest that competitive activation during sequence planning is established gradually during sequence planning and predicts sequence fluency and accuracy, rather than the speed or temporal structure of the motor sequence. HighlightsO_LIPre-ordering of actions during sequence planning can be assessed behaviourally C_LIO_LICompetitive gradient reflects sequence preparedness and skill, but not speed or timing C_LIO_LIGradient is retrieved rapidly and revealed during automatic action selection C_LIO_LIPositional tuning of actions boosts the competitive gradient during planning C_LI

neuroscience