Étude structuro-fonctionnelle de SecP43 et caractérisation de ses interactions avec SepSecS et l’ARNtSec in vitro

Selenoproteins are proteins containing selenium in the form of the 21st amino acid, selenocysteine. Selenocysteine (Sec) is directly synthesized onto its cognate tRNA (tRNA[Ser]Sec or tRNASec) and inserted into selenoproteins co-translationally with the help of various cis- and trans-acting factors. Among those factors, SecP43 has been reported to possibly play an essential role in the methylation at the 2’-hydroxylribosyl moiety in the wobble position (Um34) of Sec-tRNA[Ser]Sec and consequently reduce the expression of glutathione peroxidase 1. SecP43 also called tRNASec-associated protein has also been reported to interact in with SepSecS and tRNASec in vivo and the targeted removal of one of these proteins affected the binding of the other to the Sec-tRNASec. The initial aim of the project was to solve the structure of SecP43 by means of x-ray crystallography. Secondly, we were interested in characterizing the interaction of the latter with some of the components of the selenocysteine insertion machinery. These factors are SepSecS and tRNASec. We were able to optimize the expression and the purification of soluble form of the human homologue of SecP43 and of SepSecS by using an adapted auto-induction protocol. This was a major challenge considering that full length SecP43 has not been expressed and purify to date. We did not succeed in crystallizing SecP43. Our failure to crystallize SecP43 is probably due to the fact that it is a partially folded protein as we were able to demonstrate by SAXS (Small Angle X-ray Scattering). The SecP43 envelope calculated by SAXS displayed a rod-shape like structure. In order to enhance the stability of SecP43 required for crystallization, binding affinity studies were conducted to characterize the interaction between SecP43, tRNASec and SepSecS. We did not detect an interaction between SecP43 and tRNASec by using EMSA (Electrophoretic Mobility Shift Assay) and gel filtration. We also could not detect an interaction between SecP43 and SepSecS using a cross-linking assay. In contrast, the tRNASec/SepSecS interaction was demonstrated by EMSA and the addition of SecP43 seemed to reduce the binding affinity. Therefore, SecP43 might induce a conformational change in SepSecS in the presence of tRNASec.

3D registration of MR and X-ray spine images using an articulated model.

Présentation: Cet article a été publié dans le journal : Computerised medical imaging and graphics (CMIG). Le but de cet article est de recaler les vertèbres extraites à partir d’images RM avec des vertèbres extraites à partir d’images RX pour des patients scoliotiques, en tenant compte des déformations non-rigides due au changement de posture entre ces deux modalités. À ces fins, une méthode de recalage à l’aide d’un modèle articulé est proposée. Cette méthode a été comparée avec un recalage rigide en calculant l’erreur sur des points de repère, ainsi qu’en calculant la différence entre l’angle de Cobb avant et après recalage. Une validation additionelle de la méthode de recalage présentée ici se trouve dans l’annexe A. Ce travail servira de première étape dans la fusion des images RM, RX et TP du tronc complet. Donc, cet article vérifie l’hypothèse 1 décrite dans la section 3.2.1.

Articulated Model Registration of MRI/X-Ray Spine Data

This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete geometrical model of the torso of a scoliotic patient, this work presents a method for the registration of vertebral column data using 3D magnetic resonance images (MRI) acquired in prone position and X-ray data acquired in standing position for five patients with scoliosis. The 3D shape of the vertebrae is estimated from both image modalities for each patient, and an articulated model is used in order to calculate intervertebral transformations required in order to align the vertebrae between both postures. Euclidean distances between anatomical landmarks are calculated in order to assess multimodal registration error. Results show a decrease in the Euclidean distance using the proposed method compared to rigid registration and more physically realistic vertebrae deformations compared to thin-plate-spline (TPS) registration thus improving alignment.