Structure and diversity of the T-cell receptor alpha chain in the Mexican axolotl.

Polymerase chain reaction was used to isolate cDNA clones encoding putative T-cell receptor (TCR) alpha chains in an amphibian, the Mexican axolotl (Ambystoma mexicanum). Five TCRalpha-V chain-encoding segments were identified, each belonging to a separate family. The best identity scores for these axolotl TCRalpha-V segments were all provided by sequences belonging to the human TCRalpha-V1 family and the mouse TCRalpha-V3 and TCRalpha-V8 families. A total of 14 different TCRA-J segments were identified from 44 TCRA-V/TCRA-J regions sequenced, suggesting that a large repertoire of TCRA-J segments is a characteristic of most vertebrates. The structure of the axolotl CDR3 alpha chain loop is in good agreement with that of mammals, including a majority of small hydrophobic residues at position 92 and of charged, hydrophilic, or polar residues at positions 93 and 94, which are highly variable and correspond to the TCRA-V/J junction. This suggests that some positions of the axolotl CDR3 alpha chain loop are positively selected during T-cell differentiation, particularly around residue 93 that could be selected for its ability to makes contacts with major histocompatibility complex-associated antigenic peptides, as in mammals. The axolotl Calpha domain had the typical structure of mammalian and avian Calpha domains, including the charged residues in the TM segment that are thought to interact with other proteins in the membrane, as well as most of the residues forming the conserved antigen receptor transmembrane motif.

Determination of optimal angiographic viewing angles: basic principles and evaluation study.

Foreshortening of vessel segments in angiographic (biplane) projection images may cause misinterpretation of the extent and degree of coronary artery disease. The views in which the object of interest are visualized with minimum foreshortening are called optimal views. The authors present a complete approach to obtain such views with computer-assisted techniques. The object of interest is first visualized in two arbitrary views. Two landmarks of the object are manually defined in the two projection images. With complete information of the projection geometry, the vector representation of the object in the three-dimensional space is computed. This vector is perpendicular to a plane in which the views are called optimal. The user has one degree of freedom to define a set of optimal biplane views. The angle between the central beams of the imaging systems can be chosen freely. The computation of the orientation of the object and of corresponding optimal biplane views have been evaluated with a simple hardware phantom. The mean and the standard deviation of the overall errors in the calculation of the optimal angulation angles were 1.8 degrees and 1.3 degrees , respectively, when the user defined a rotation angle.