Neural extracellular matrix (ECM) protein involved in interactions with different cells and matrix components. These interactions can influence cellular behavior by either evoking a stable adhesion and differentiation, or repulsion and inhibition of neurite growth. Binding to cell surface gangliosides inhibits RGD-dependent integrin-mediated cell adhesion and results in an inhibition of PTK2 (FAK) phosphorylation and cell detachment. Binding to membrane surface sulfatides results in a oligodendrocyte adhesion and differentiation. Interaction with CNTN1 induces a repulsion of neurons and an inhibition of neurite outgrowth. Interacts with SCN2B may play a crucial role in clustering and regulation of activity of sodium channels at nodes of Ranvier. TNR-linked chondroitin sulfate glycosaminoglycans are involved in the interaction with FN1 and mediate inhibition of cell adhesion and neurite outgrowth. The highly regulated addition of sulfated carbohydrate structure may modulate the adhesive properties of TNR over the course of development and during synapse maintenance.
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References
THE EFFECTS OF RESAMPLING METHODS ON LINEAR DISCRIMINANT ANALYSIS FOR DATA SET WITH TWO IMBALANCED GROUPS: AN EMPIRICAL EVIDENCE
Linear discriminant analysis (LDA) like other conventional classification algorithms is biased towards the majority group when dealing with group imbalance. Resampling methods such as random oversampling (ROS) and random undersampling (RUS) are used to alleviate the problem. However, previous studies could not agree on the significance of both ROS and RUS to improve the performance of LDA. This paper addresses the disagreements by analysing the significance of ROS and RUS on LDA through k-fold cross-validation based on true positive rate (TPR) and true negative rate (TNR). Both the performance measures could assess the classification of each object more precisely as compared to error rate (ER) or area under receiver operating characteristics (ROC) curve (AUC). Researchers utilised 100 simulated data sets and four real data sets. This study revealed that (i) resampling method of ROS or RUS improves the performance of LDA in classifying the objects especially from minority group, and (ii) LDA is significantly biased towards objects from the majority group.
The Interaction between PCNA and FEN1 Modulates TNR Instability
COA
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