Ion-induced folding of a kink turn that departs from the conventional sequence

Kink turns (k-turns) are important structural motifs that create a sharp axial bend in RNA. Most conform to a consensus in which a three-nucleotide bulge is followed by consecutive G•A and A•G base pairs, and when these G•A pairs are modified in vitro this generally leads to a failure to adopt the k-turn conformation. Kt-23 in the 30S ribosomal subunit of Thermus thermophilus is a rare exception in which the bulge-distal A•G pair is replaced by a non-Watson–Crick A•U pair. In the context of the ribosome, Kt-23 adopts a completely conventional k-turn geometry. We show here that this sequence is induced to fold into a k-turn structure in an isolated RNA duplex by Mg2+ or Na+ ions. Therefore, the Kt-23 is intrinsically stable despite lacking the key A•G pair; its formation requires neither tertiary interactions nor protein binding. Moreover, the Kt-23 k-turn is stabilized by the same critical hydrogen-bonding interactions within the core of the structure that are found in more conventional sequences such as the near-consensus Kt-7. T. thermophilus Kt-23 has two further non-Watson–Crick base pairs within the non-canonical helix, three and four nucleotides from the bulge, and we find that the nature of these pairs influences the ability of the RNA to adopt k-turn conformation, although the base pair adjacent to the A•U pair is more important than the other

Molecular Dynamics and Quantum Mechanics of RNA: Conformational and Chemical Change We Can Believe In

Structure and dynamics are both critical to RNA’s vital functions in biology. Numerous techniques can elucidate the structural dynamics of RNA, but computational approaches based on experimental data arguably hold the promise of providing the most detail. In this Account, we highlight areas wherein molecular dynamics (MD) and quantum mechanical (QM) techniques are applied to RNA, particularly in relation to complementary experimental studies

Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review

Quantitative immunoelectron microscopy uses ultrathin sections and gold particle labelling to determine distributions of molecules across cell compartments. Here, we review a portfolio of new methods for comparing labelling distributions between different compartments in one study group (method 1) and between the same compartments in two or more groups (method 2). Specimen samples are selected unbiasedly and then observed and expected distributions of gold particles are estimated and compared by appropriate statistical procedures. The methods can be used to analyse gold label distributed between volume-occupying (organelle) and surface-occupying (membrane) compartments, but in method 1, membranes must be treated as organelles. With method 1, gold counts are combined with stereological estimators of compartment size to determine labelling density (LD). For volume-occupiers, LD can be expressed simply as golds per test point and, for surface-occupiers, as golds per test line intersection. Expected distributions are generated by randomly assigning gold particles to compartments and expressing observed/expected counts as a relative labelling index (RLI). Preferentially-labelled compartments are identified from their RLI values and by Chi-squared analysis of observed and expected distributions. For method 2, the raw gold particle counts distributed between compartments are simply compared across groups by contingency table and Chi-squared analysis. This identifies the main compartments responsible for the differences between group distributions. Finally, we discuss labelling efficiency (the number of gold particles per target molecule) and describe how it can be estimated for volume- or surface-occupiers by combining stereological data with biochemical determinations