Quantum Dot Light-Emitting Transistors-Powerful Research Tools and Their Future Applications

In this progress report, the recent work in the field of light-emitting field-effect transistors (LEFETs) based on colloidal quantum dots (CQDs) as emitters is highlighted. These devices combine the possibility of electrical switching, as known from field-effect transistors, with the possibility of light emission in a single device. The properties of field-effect transistors and the prerequisites of LEFETs are reviewed, before motivating the use of colloidal quantum dots for light emission. Recent reports on these quantum dot light-emitting field-effect transistors (QDLEFETs) include both materials emitting in the near infrared and the visible spectral range-underlining the great potential and breadth of applications for QDLEFETs. The way in which LEFETs can further the understanding of the CQD material properties-their photophysics as well as the carrier transport through films-is discussed. In addition, an overview of technology areas offering the potential for large impact is provided

The role of proteomics in depression research

Depression is a severe neuropsychiatric disorder affecting approximately 10% of the world population. Despite this, the molecular mechanisms underlying the disorder are still not understood. Novel technologies such as proteomic-based platforms are beginning to offer new insights into this devastating illness, beyond those provided by the standard targeted methodologies. Here, we will show the potential of proteome analyses as a tool to elucidate the pathophysiological mechanisms of depression as well as the discovery of potential diagnostic, therapeutic and disease course biomarkers

Dimensions of emotionality in a rat model of innate anxiety

Emotionality is thought to be multidimensional, with "anxiety" representing one dimension. Dissecting emotional dimensions in animal models is an essential prerequisite for investigating the neurobiological mechanisms that underlie anxiety. The authors used factor analysis to investigate emotional dimensions in normal rats and rats bred for either high or low anxiety-related behavior. Hyperanxious rats were reduced in emotional dimensions in the elevated plus-maze by selection pressure, and a modified hole board test revealed a dissection of their emotionality with precisely defined dimensions. This enabled clear differentiation of "anxiety" from other emotional dimensions including risk assessment behavior and exploration. Factors extracted by analyzing data from a multiple-test battery corresponded to particular test characteristics rather than to emotional dimensions. The approach used might help to develop specific treatment strategies for anxiety disorders