Emmanouil Athanasiadis

TL;DR: A marker-free approach is used to computationally reconstruct the blood lineage tree in zebrafish and order cells along their differentiation trajectory, based on their global transcriptional differences, and a refined model of developmental progression of haematopoietic cells is proposed.

TL;DR: Zebrafish CD4+ T cells will infiltrate melanoma tumors and obtain a phenotype consistent with a type 2 immune microenvironment, and this unique resource will prove invaluable for future investigation of T cell function in biomedical research, the development of vaccination and health management in aquaculture, and for further research into the evolution of adaptive immunity.

TL;DR: A comprehensive atlas of zebrafish lymphocytes during tissue homeostasis and after immune challenge is generated and a rorc-positive subset of ILCs that could express cytokines associated with type 1, 2, and 3 responses upon immune challenge are uncovered.

TL;DR: The proposed pattern recognition system, designed as an ensemble classification scheme employing a support vector machine classifier, enabled boosting up the performance of the system in discriminating metastatic, malignant and benign brain tumors with 77.14%, 89.19% and 93.33% accuracy, respectively.

TL;DR: An integrative approach is used on five disease-related microarray data sets of hippocampal origin with three different methods of evaluating differential gene expression and four drug repurposing tools to find a list of 27 potential anti-Alzheimer agents that were additionally processed with regard to molecular similarity, pathway/ontology enrichment and network analysis.