High-throughput RNA structure probing reveals critical folding events during early 60S ribosome assembly in yeast

While the protein composition of various yeast 60S ribosomal subunit assembly intermediates has been studied in detail, little is known about ribosomal RNA (rRNA) structural rearrangements that take place during early 60S assembly steps. Using a high-throughput RNA structure probing method, we provide nucleotide resolution insights into rRNA structural rearrangements during nucleolar 60S assembly. Our results suggest that many rRNA-folding steps, such as folding of 5.8S rRNA, occur at a very specific stage of assembly, and propose that downstream nuclear assembly events can only continue once 5.8S folding has been completed. Our maps of nucleotide flexibility enable making predictions about the establishment of protein-rRNA interactions, providing intriguing insights into the temporal order of protein-rRNA as well as long-range inter-domain rRNA interactions. These data argue that many distant domains in the rRNA can assemble simultaneously during early 60S assembly and underscore the enormous complexity of 60S synthesis.Ribosome biogenesis is a dynamic process that involves the ordered assembly of ribosomal proteins and numerous RNA structural rearrangements. Here the authors apply ChemModSeq, a high-throughput RNA structure probing method, to quantitatively measure changes in RNA flexibility during the nucleolar stages of 60S assembly in yeast

Association Between Fibulin-1 and Aortic Augmentation Index in Male Patients with Peripheral Arterial Disease

BackgroundFibulin-1 (FBLN-1), a newly identified biomarker for vascular stiffness in type 2 diabetes, may participate in the pathophysiological processes leading to progression of arterial stiffness in atherosclerosis. In the present study, the relationship between FBLN-1 and arterial stiffness was examined in patients with atherosclerosis and in healthy subjects.MethodsThirty-eight patients with peripheral arterial disease (PAD) (age 62.4 ± 9.0 years), 38 patients with coronary artery disease (CAD) (age 64.0 ± 9.5 years), and 30 apparently healthy controls (age 61.1 ± 6.4 years) were studied. Serum FBLN-1, oxidized low density lipoprotein (oxLDL), resistin and plasminogen activator inhibitor-1 (PAI-1) levels were measured using the enzyme linked immunosorbent assay method. The technique of applanation tonometry was used for non-invasive pulse wave analysis and pulse wave velocity assessments.ResultsThe levels of FBLN-1 (PAD = 9.4 [4.9–17.8] vs. CAD = 7.1 [4.8–11.8] vs. controls = 5.6 [4.1–8.4] μg/mL; p = .005), carotid-femoral pulse wave velocity (cf-PWV) (9.8 ± 2.2 vs. 9.5 ± 2.2 vs. 8.3 ± 2.2 m/s; p = .023) and the heart rate corrected augmentation index (AIx@75) (29.4 ± 7.2 vs. 19.2 ± 7.2 vs. 15.4 ± 7.1%; p < .001), differed among the three groups. A correlation between FBLN-1 and AIx@75 was observed only in patients with PAD (rho = 0.37, p = .021). The relationship retained statistical significance in a multiple regression model after adjustment for potential confounders.ConclusionsAn independent association was demonstrated between serum FBLN-1 and AIx@75 in the PAD group. Thus, the findings suggest that FBLN-1 may play a role in arterial stiffening in patients with atherosclerosis

Chemoinformatics for the safety of energetic and reactive materials at Ineris

International audienceThe characterization of physical hazards of substances is a key information to manage the risks associated to their use, storage and transport. With decades of work in this area, Ineris develops and implements cutting‐edge experimental facilities allowing such characterizations at different scales and under various conditions to study all of the dreaded accident scenarios. This review presents the efforts engaged by Ineris more recently in the field of chemoinformatics to develop and use new predictive methods for the anticipation and management of industrials risks associated to energetic and reactive materials as a complement to experiments.An overview of the methods used for the development of Quantitative Structure-Property Relationships for physical hazards are presented and discussed regarding the specificities associated to this class of properties. A review of models developed at Ineris is also provided from the first tentative models on the explosivity of nitro compounds to the successful application to the flammability of organic mixtures. Then, a discussion is proposed on the use of QSPR models. Good practices for robust use for QSPR models are recalled with specific comments related to physical hazards, notably for regulatory purpose. Dissemination and training efforts engaged by Ineris are also presented. The potential offered by these predictive methods in terms of in silico design and for the development of new intrinsically safer technologies in safety-by-design strategies is finally discussed. At last, challenges and perspectives to extend the application of chemoinformatics in the field of safety and in particular for the physical hazards of energetic and reactive substances are proposed