Tetraspanins are widely expressed in vascular and haematopoietic cells and are involved in both physiological and pathological processes related to angiogenesis, vascular injury, thrombosis, and haemostasis. A wide body of evidence suggests that tetraspanins directly regulate

the development and functions of the vascular system and the pathogenesis of vascular diseases. This article reviews current understanding of the roles of tetraspanins in vascular functions.”
“Background: ZD1839 mouse Oxytocin is known to enhance recognition of emotional expressions and may increase attention to the eye region. Therefore, we investigated whether oxytocin administration would lead to increased orienting of attention in response to gaze cues of emotional faces.\n\nMethods: In a randomized placebo-controlled double-blind crossover study 20 healthy males received 24 IU of oxytocin or placebo. Thirty-five minutes after administration they performed a gaze cueing task with happy, fearful

and neutral faces. Stress levels were measured throughout the study.\n\nResults: Oxytocin did not affect SN-38 datasheet stress levels during the study, but significantly increased gaze cueing scores for happy and fearful expressions compared to placebo. No effects were found for neutral expressions. Trait anxiety or depression did not moderate the effect.\n\nConclusions: Oxytocin increases orienting of attention in response to emotional gaze cues, both for happy and fearful expressions. Replication is needed in female and clinical populations. Effects of oxytocin on early, automatic Alvespimycin processing levels should be studied in relation to previously found pro-social and behavioral effects of oxytocin. (C) 2013 Elsevier Ltd. All rights reserved.”
“Relating expression signatures from different sources such as cell lines, in vitro cultures from primary cells and biopsy material is an important task in drug development and translational medicine as well as for tracking of cell fate and disease progression. Especially the comparison of large scale gene expression changes to tissue or cell type specific signatures

is of high interest for the tracking of cell fate in (trans-) differentiation experiments and for cancer research, which increasingly focuses on shared processes and the involvement of the microenvironment. These signature relation approaches require robust statistical methods to account for the high biological heterogeneity in clinical data and must cope with small sample sizes in lab experiments and common patterns of co-expression in ubiquitous cellular processes. We describe a novel method, called PhysioSpace, to position dynamics of time series data derived from cellular differentiation and disease progression in a genome-wide expression space. The PhysioSpace is defined by a compendium of publicly available gene expression signatures representing a large set of biological phenotypes.