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Biology subjects

Taskina, A.

Publications and source records attributed to Taskina, A..

2 recordsLinked to original sources

Programmable Edge-to-Edge Assembly of RNA Nanostructures

Constructing complex three-dimensional RNA nanostructures requires precise molecular connectors for controlled self-assembly. Existing RNA-RNA connectors, such as kissing loops, are restricted to coaxial, end-to-end joining, limiting the range of accessible geometries. Here, we introduce the alpha kissing loop (alphaKL), a compact, sequence-programmable RNA connector that enables edge-to-edge helix association. The alphaKL combines a four-nucleotide kissing loop with minor- and major-groove triplex interactions that pre-organize an -shaped conformation compatible with co-transcriptional folding. Embedded into RNA origami tiles, alphaKLs drive multivalent assembly into filaments and lattices, visualized at nanoscale resolution by atomic force microscopy. All-atom molecular dynamics simulations reveal that triplex occupancy at each sequence position controls the preferred inter-helical angle. Cooperative backbone contacts progressively rigidify the multi-alphaKL interface beyond what individual motifs achieve alone. By linking helices along their edges rather than their ends, the alphaKL expands the structural design space of programmable RNA nanostructures, unlocking previously inaccessible architectures and applications.

biophysics↗

Comparison and critical assessment of single-cell Hi-C protocols

Advances in single-cell sequencing technologies make it possible to study the genome architecture in single cells. The rapid growth of the field has been fueled by the development of innovative single-cell Hi-C protocols. However, the protocols vary considerably in their efficiency, bias, scale and costs, and their relative advantages for different applications are unclear. Here, we compare the two most commonly used single-cell Hi-C protocols. We use long-read sequencing to analyze molecular products of the Hi-C assay and show that whole-genome amplification step results in increased number of artifacts, larger coverage biases, and increased amount of noise compared to PCR-based amplification. Our comparison provides guidance for researchers studying chromatin architecture in individual cells.

genomics↗