The 18-kb Xist long noncoding RNA (lncRNA) is essential for X-chromosome inactivation during female eutherian mammalian development. Global structural architecture, cell-induced conformational changes, and protein-RNA interactions within Xist are poorly understood. We used selective 2′-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) to examine these features of Xist at single-nucleotide resolution both in living cells and ex vivo. The Xist RNA forms complex welldefined secondary structure domains and the cellular environment strongly modulates the RNA structure, via motifs spanning onehalf of all Xist nucleotides. The Xist RNA structure modulates protein interactions in cells via multiple mechanisms. For example, repeatcontaining elements adopt accessible and dynamic structures that function as landing pads for protein cofactors. Structured RNA motifs create interaction domains for specific proteins and also sequester other motifs, such that only a subset of potential binding sites forms stable interactions. This work creates a broad quantitative framework for understanding structure-function interrelationships for Xist and other lncRNAs in cells.ong noncoding RNAs (lncRNAs) play central roles in the regulation of gene expression through interactions with numerous protein partners (1) and are necessary for normal health and development (2, 3). The 18-kb Xist lncRNA is essential for X-chromosome inactivation during female eutherian mammalian development and is an archetype of gene-silencing lncRNAs. During the early stages of X inactivation, Xist accumulates in cis around the future inactive X chromosome and recruits protein complexes that apply repressive chromatin modifications, leading to stable gene silencing (3,4).Genetic deletion studies have demarcated several broad regions of function within Xist. Several tandem repeat regions (labeled A-F in the mouse) show moderate conservation (5-7), and at least two of these, repeat A and the rodent-specific repeat C, are implicated in silencing and localization to the inactive X. Deletion of the final 7.5-kb exon of Xist causes a defect in its localization (8), and the 1.5-kb region encompassing repeats F and B is required for accumulation of heterochromatic marks over the inactive X (4); however, beyond these initial characterizations, the mechanisms by which gene silencing, heterochromatinization, and localization of Xist on the X chromosome occur are not well understood. In particular, the role of RNA structure in orchestrating these distinct functions remains unclear.Several previous studies have suggested the importance of RNA structures in specific regions of Xist (9-12), but overall, the locations and structures of functional domains within Xist are poorly defined. Detailed structural maps of other functional RNAs, such as ribosomal RNAs (13) and the HIV RNA genome (14-16), have been fundamental to understanding the mechanisms by which individual domains within large RNAs execute discrete cellular functions. A detailed an...

Higher-order structure governs function for many RNAs. However, discerning this structure for large RNA molecules in solution is an unresolved challenge. Here, we present SHAPE-JuMP (selective 2′-hydroxyl acylation analyzed by primer extension and juxtaposed merged pairs) to interrogate through-space RNA tertiary interactions. A bifunctional small molecule is used to chemically link proximal nucleotides in an RNA structure. The RNA cross-link site is then encoded into complementary DNA (cDNA) in a single, direct step using an engineered reverse transcriptase that “jumps” across cross-linked nucleotides. The resulting cDNAs contain a deletion relative to the native RNA sequence, which can be detected by sequencing, that indicates the sites of cross-linked nucleotides. SHAPE-JuMP measures RNA tertiary structure proximity concisely across large RNA molecules at nanometer resolution. SHAPE-JuMP is especially effective at measuring interactions in multihelix junctions and loop-to-helix packing, enables modeling of the global fold for RNAs up to several hundred nucleotides in length, facilitates ranking of structural models by consistency with through-space restraints, and is poised to enable solution-phase structural interrogation and modeling of complex RNAs.

SHAPE-JuMP is a concise strategy for identifying close-in-space interactions in RNA molecules. Nucleotides in close three-dimensional proximity are crosslinked with a bi-reactive reagent that covalently links the 2’-hydroxyl groups of the ribose moieties. The identities of crosslinked nucleotides are determined using an engineered reverse transcriptase that jumps across crosslinked sites, resulting in a deletion in the cDNA that is detected using massively parallel sequencing. Here we introduce ShapeJumper, a bioinformatics pipeline to process SHAPE-JuMP sequencing data and to accurately identify through-space interactions, as observed in complex JuMP datasets. ShapeJumper identifies proximal interactions with near-nucleotide resolution using an alignment strategy that is optimized to tolerate the unique non-templated reverse-transcription profile of the engineered crosslink-traversing reverse-transcriptase. JuMP-inspired strategies are now poised to replace adapter-ligation for detecting RNA-RNA interactions in most crosslinking experiments.

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