Biology subjects

Mustoe, A. M.

Publications and source records attributed to Mustoe, A. M..

7 recordsLinked to original sources

bioRxiv2026

Mapping RNA structure assembly and remodeling in biomolecular condensates

Biomolecular condensates concentrate RNA and protein machinery that facilitate RNA processing, ribonucleoprotein assembly, and gene regulation. Some evidence supports that condensates can modulate RNA folding, but measuring RNA structure within native condensates remains an unsolved challenge. Here we introduce RAID-MaP, a strategy that combines APEX proximity labeling with dimethyl sulfate (DMS) chemical probing to measure RNA structure within defined subcellular compartments. We applied RAID-MaP to resolve late stages of ribosomal RNA (rRNA) folding within the granular component (GC) of the nucleolus, revealing that both the 18S and 28S rRNAs feature widespread differences in structure compared to assembled ribosomes consistent with ongoing folding of both secondary and tertiary structure. We further combined RAID-MaP with transcription inhibition to resolve kinetics of rRNA maturation. The maturation kinetics of both subunits progressed on comparable timescales but with characteristic domain-level ordering, with late GC-resident intermediates often becoming more protected than mature ribosomes suggestive of stabilization by nucleolar accessory factors. Perturbing this 28S assembly pathway using antisense oligonucleotides produces distinct nucleolar phenotypes depending on whether early versus late folding domains are disrupted, demonstrating a direct link between rRNA folding and phase separation. We additionally applied RAID-MaP to discover that the 7SK small nuclear RNA undergoes spatially regulated structural switching consistent with localized release of the transcription factor P-TEFb at sites of active transcription. Together, our results establish subcellular spatial control of RNA structure as a new dimension of RNA regulation.

biochemistry↗

bioRxiv2026

Ubiquitous low-energy RNA fluctuations and energetic coupling measured by chemical probing

RNA function is governed by RNA folding, but strategies for measuring RNA folding thermodynamics are limited, and fundamental questions such as the energy of base pair opening remain debated. Here we introduce Probing-Resolved Inference of Molecular Energetics (PRIME) to extract nucleotide-resolution RNA structural energetics from scalable chemical probing experiments. Applying PRIME to diverse RNAs, we find that RNA base pairs and tertiary interactions dynamically open with free energies of 0.5-3 kcal/mol, revealing that RNA nucleotides ubiquitously sample open conformations at biologically accessible energies. PRIME further resolves energetic coupling across RNAs, providing an energetic understanding of RNA structural dynamics and long-range coordination in RNA folding. PRIME represents a widely accessible strategy for interrogating RNA thermodynamics, enabling mechanistic understanding and engineering of RNA biology.

biophysics↗

bioRxiv2025

Massively parallel characterization of RNA G-quadruplex stability and molecular recognition

RNA G-quadruplexes (rG4s) have been implicated as important regulators of RNA metabolism and are promising targets for RNA-targeted therapeutics. rG4s typically require a canonical (G[≥]2N1-7)4 motif, but the sequence features that affect rG4 stability and recognition by RNA-binding proteins (RBPs) and rG4-binding ligands are not fully understood. To interrogate sequence-level drivers of rG4 folding, we applied a reverse-transcriptase stop sequencing strategy to a library of [~]3,000 synthetic rG4s with varied G-tract lengths, loop lengths, and loop compositions, permitting massively parallel quantification of rG4 stability. Our data confirm known sequence-level features and characterize novel combinatorial impacts of these features. We also assessed systematically mutagenized natural rG4s, revealing unexpected mutations that significantly affect rG4 stability, including contributions from flanking sequences outside of the rG4. We further used our strategy to assess rG4 recognition preferences of the model rG4- ligand pyridostatin, revealing a preferential stabilization of rG4s containing mixed-length G-tracts. We further demonstrated the potential for large-scale protein binding assays with our library to reveal rG4 features recognized by RBPs, specifically G3BP1 and FMRP. Our approach and data provide a generalizable framework to study sequence-level drivers of rG4 stability, binding by RBPs, and ligand interactions, defining basic principles of rG4 formation and downstream biology.

biochemistry↗

bioRxiv2021

Large-scale allosteric switch in the 7SK RNA regulates transcription in response to growth and stress

7SK is a highly conserved non-coding RNA that regulates eukaryotic transcription by sequestering positive transcription elongation factor b (P-TEFb). 7SK regulatory function likely entails changes in RNA structure, but characterizing dynamic RNA-protein complexes in cells has remained an unsolved challenge. We describe a new chemical probing strategy (DANCE-MaP) that uses maximum likelihood deconvolution and probabilistic read assignment to define simultaneously (i) per-nucleotide reactivity profiles, (ii) direct base pairing interactions, and (iii) tertiary and higher-order interactions for each conformation of multi-state RNA structural ensembles, all from a single experiment. We show that human 7SK RNA, despite significant heterogeneity, intrinsically codes for a large-scale structural switch that couples dissolution of the P-TEFb binding site to structural remodeling at distal release factor binding sites. The 7SK structural equilibrium is regulated by cell type, shifts dynamically in response to cell growth and stress, and can be exogenously targeted to modulate transcription in cells. Our data support that the 7SK structural ensemble functions as an integrator of diverse cellular signals to control transcription elongation in environment and cell specific ways, and establishes DANCE-MaP as a powerful strategy for comprehensively defining RNA structure and dynamics in cells.

biochemistry↗

bioRxiv2020

RNP-MaP: In-cell analysis of protein interaction networks defines functional hubs in RNA

RNAs interact with networks of proteins to form complexes (RNPs) that govern many biological processes, but these networks are currently impossible to examine in a comprehensive way. We developed a live-cell chemical probing strategy for mapping protein interaction networks in any RNA with single-nucleotide resolution. This RNP-MaP strategy (RNP network analysis by mutational profiling) simultaneously detects binding by and cooperative interactions involving multiple proteins with single RNA molecules. RNP-MaP revealed that two structurally related, but sequence-divergent noncoding RNAs, RNase P and RMRP, share nearly identical RNP networks and, further, that protein interaction network hubs identify function-critical sites in these RNAs. RNP-MaP identified numerous protein interaction networks within the XIST long noncoding RNA that are conserved between mouse and human RNAs and distinguished communities of proteins that network together on XIST. RNP-MaP data show that the Xist E region is densely networked by protein interactions and that PTBP1, MATR3, and TIA1 proteins each interface with the XIST E region via two distinct interaction modes; and we find that the XIST E region is sufficient to mediate RNA foci formation in cells. RNP-MaP will enable discovery and mechanistic analysis of protein interaction networks across any RNA in cells.

biochemistry↗

bioRxiv2019

Natural selection shapes codon usage in the human genome

Synonymous codon usage has been identified as an important determinant of translational efficiency and mRNA stability in model organisms and human cell lines. However, to date, population genetics studies have failed to observe evolutionary constraint on human codon usage, and synonymous variation has been largely overlooked as a component of human genetic diversity. Using genetic sequencing data from nearly 200,000 individuals, we uncover clear evidence that natural selection optimizes codon content in the human genome. We derive intolerance metrics to quantify gene-level constraint on synonymous variation and demonstrate that dosage-sensitive, DNA damage response, and cell cycle regulated genes are more intolerant to synonymous variation than other genes in the genome. Notably, we illustrate that reductions in codon optimality can attenuate the function of BRCA1. Our results reveal that synonymous mutations likely play an important and underappreciated role in human variation.

genomics↗

bioRxiv2019

RNA base pairing complexity in living cells visualized by correlated chemical probing

RNA structure and dynamics are critical to biological function. However, strategies for determining RNA structure in vivo are limited, with established chemical probing and newer duplex detection methods each having notable deficiencies. Here we convert the common reagent dimethyl sulfate (DMS) into a useful probe of all four RNA nucleotides. Building on this advance, we introduce PAIR-MaP, which uses single-molecule correlated chemical probing to directly detect base pairing interactions in cells. PAIR-MaP has superior resolution and accuracy compared to alternative experiments, can resolve alternative pairing interactions of structurally dynamic RNAs, and enables highly accurate structure modeling, including of RNAs containing multiple pseudoknots and extensively bound by proteins. Application of PAIR-MaP to human RNase MRP and two bacterial mRNA 5'-UTRs reveals new functionally important and complex structures undetectable by conventional analyses. PAIR-MaP is a powerful, experimentally concise, and broadly applicable strategy for directly visualizing RNA base pairs and dynamics in cells.

biochemistry↗