Periodic Reporting for period 4 - RNPdynamics (Multivalent interactions driving RNP dynamics in development and disease)
Período documentado: 2024-07-01 hasta 2025-09-30
Grasping how IDRs facilitate RNA binding is key to decoding mutation mechanisms and early disease triggers. Our research tackles this through five interconnected objectives:
Identifying roles of disorder-containing RBPs in stem cell differentiation, revealing foundational cellular processes disrupted in disease.
Evaluating multivalency in bound RNA regions for protein-RNA condensate formation, highlighting structural drivers of dysfunction.
Engineering multivalent RNA to manipulate protein-RNA assembly, offering tools for intervention.
Perturbing IDR-dependent dynamics in protein-RNA complexes to mimic and study mutational effects.
Examining species-specific multivalent complexes, providing evolutionary context for human-specific vulnerabilities.
This framework not only advances scientific understanding but holds promise for societal benefits through innovative treatments.
Key technological breakthroughs included iiCLIP, an enhanced, non-radioactive iCLIP protocol for quantitative RBP-RNA interaction mapping (Lee et al., bioRxiv 2021), and the PEKA computational pipeline for motif discovery and binding region assignment (Kuret et al., Genome Biol, 2022). These tools enabled detailed analyses of RBP mutants across datasets.
Major discoveries emerged from studies on TDP-43, revealing IDR-dependent condensation as crucial for binding long, multivalent RNA regions with dispersed motifs; reduced condensation in mutants caused selective mis-splicing of 3’UTRs and autoregulatory failures (Hallegger et al., Cell, 2021). Collaborative work on UNC13A showed how variants exploit multivalent RNA to evade TDP-43 repression of cryptic exons (Brown et al., Nature, 2022). Further, mapping RBP dynamics during differentiation demonstrated how phosphorylation alters IDR assembly, rewiring mRNA binding and decay (Modic et al., NSMB, 2024).
These findings established multivalent RNA regions as scaffolds gated by IDR dynamics, culminating in the 2025 Nature discovery of "interstasis"—an intermediate state between dispersed binding and full condensation, where RBPs selectively stabilize extended RNA regions without visible aggregates. Interstasis explains how subtle IDR mutations trigger early RNA misregulation in ALS/FTD, shifting paradigms from binary models to finely tuned intermediates vital for splicing, stability, and translation.
Evolutionary analyses of codon biases in multivalent regions illuminated species-specific RNP evolution. Overall, the program’s insights and tools pave the way for therapies targeting IDR-multivalency interactions to correct pathogenic RNA processing, offering hope for selective disease intervention.
Interstasis emerged as an unforeseen intermediate state, where specific RBPs selectively stabilize and organize long, multivalent RNA regions within condensates. Its detection demanded innovative tools: quantitative iiCLIP and comparative iCLIP for precise binding measurements, alongside PEKA algorithms and motif-informed region assignment to quantify multivalent RNA scaffolds. By subtly manipulating IDR proteins and RNA multivalency, we uncovered graded, selective impacts on RNA subsets—insights hidden by prior methods.
This advanced the field as follows:
It found that modest IDR changes (e.g. disease mutations or modifications) disrupt motif-dense regions like 3′UTRs or introns pre-aggregation.
It found that RNA multivalency and IDR propensity predict vulnerable transcripts, enabling testable hypotheses for experiments and therapies.
The methodology offers a versatile blueprint for studying other disease-related RBPs across development or stress.
The work can open new strategies for therapies tuning IDR interactions or RNA scaffolds to restore regulation, bypassing aggregate dissolution.
The work linked sequence motifs to mesoscale behaviors by promoting integrated pipelines (CLIP → PEKA → biophysics → genomics) for RNP analysis.
Ultimately, interstasis reoriented our focus from aggregation to finely tuned IDR–RNA dynamics crafting regulatory micro-states that influence cell fate and disease.