ALG12 mannosyltransferase defect in congenital disorder of glycosylation type lg

In the endoplasmic reticulum (ER) of eukaryotes, N-linked glycans are first assembled on the lipid carrier dolichyl pyrophosphate. The GlcNAc2Man9Glc3 oligosaccharide is transferred to selected asparagine residues of nascent polypeptides. Defects along the biosynthetic pathway of N-glycans are associated with severe multisystemic syndromes called congenital disorders of glycosylation. Here, we describe a deficiency in the ALG12 ER α1,6-mannosyltransferase resulting in a novel type of glycosylation disorder. The severe disease was identified in a child presenting with psychomotor retardation, hypotonia, growth retardation, dysmorphic features and anorexia. In the patient's fibroblasts, the biosynthetic intermediate GlcNAc2Man7 oligosaccharide was detected both on the lipid carrier dolichyl pyrophosphate and on newly synthesized glycoproteins, thus pointing to a defect in the dolichyl pyrophosphate-GlcNAc2Man7-dependent ALG12 α1,6 mannosyltransferase. Analysis of the ALG12 cDNA in the CDG patient revealed compound heterozygosity for two point mutations that resulted in the amino acid substitutions T67M and R146Q, respectively. The impact of these mutations on ALG12 protein function was investigated in the Saccharomyces cerevisiae alg12 glycosylation mutant by showing that the yeast ALG12 gene bearing the homologous mutations T61M and R161Q and the human mutant ALG12 cDNA alleles failed to normalize the growth defect phenotype of the alg12 yeast model, whereas expression of the normal ALG12 cDNA complemented the yeast mutation. The ALG12 mannosyltransferase defect defines a new type of congenital disorder of glycosylation, designated CDG-I

A Gaze Visualizer Tool Implementation Of Gaze Data Into Lighting Rendering Tools Using Radiance And Honeybee For Grasshopper3D

The Gaze Visualizer tool is an implementation of eyetracking (gaze) data and a preliminary gaze responsive light driven (GRL) model, which enables to visualize gaze behavior in a 3D space, in Grasshopper3D. The workflow from obtaining the relevant photometric quantities, retrieving gaze data, intorduction of the GRL model to the tool and a simple data representation scheme are presented here. The final plugin is easy to use for Rhino/Grasshopper developers with only basic skills, and provides a quick estimations of the gaze respionsive visual comfort in an illustrative way, that gives the user an adequate overview of the glare-free zones in the room