Cardiff University

About: Cardiff University is a education organization based out in Cardiff, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 34188 authors who have published 82643 publications receiving 3046531 citations. The organization is also known as: University of Cardiff & University College of South Wales and Monmouthshire.

The burgeoning family of unconventional T cells.

Abstract: While most studies of T lymphocytes have focused on T cells reactive to complexes of peptide and major histocompatibility complex (MHC) proteins, many other types of T cells do not fit this paradigm. These include CD1-restricted T cells, MR1-restricted mucosal associated invariant T cells (MAIT cells), MHC class Ib-reactive T cells, and γδ T cells. Collectively, these T cells are considered 'unconventional', in part because they can recognize lipids, small-molecule metabolites and specially modified peptides. Unlike MHC-reactive T cells, these apparently disparate T cell types generally show simplified patterns of T cell antigen receptor (TCR) expression, rapid effector responses and 'public' antigen specificities. Here we review evidence showing that unconventional T cells are an abundant component of the human immune system and discuss the immunotherapeutic potential of these cells and their antigenic targets.

New paradigms for modelling species distributions

Abstract: 1The management of both desirable and undesirable species requires an understanding of the factors determining their distribution. Quantitative distribution models offer simple methods for formulating the species–habitat link and the means not only for predicting where species should occur, but also for understanding the factors involved. Generalized linear modelling, in particular, links the incidence of species to habitat variables, and has increasingly formed the backbone of the modelling approaches used. New ‘data technologies’, such as remote sensing and geographical information systems, have further broadened these modelling applications to almost any ecological system and any species for which there are distribution data.2Many previous approaches have aimed to identify the most parsimonious model with the best suite of predictors, selected on the basis of null hypothesis testing. However, information-theoretic approaches based on Akaike's information criterion allow the selection of a best approximating model or a subset of models from a set of candidates. Information-theoretic approaches require a deeper understanding of the biology of the system modelled and may well become an improved paradigm for species distribution modelling.3Synthesis and applications. This special profile of six papers demonstrates the development in methodology used in species distribution modelling. The papers show how information-theoretic approaches can be coupled with emerging data technologies to address issues of conservation significance. With conservation biology and applied ecology at the forefront of many of the basic science developments so far, we expect these methods to pervade other areas of ecological research more fully in future.

The genetics of schizophrenia and bipolar disorder: dissecting psychosis

Abstract: Much work has been done to identify susceptibility genes in schizophrenia and bipolar disorder. Several well established linkages have emerged in schizophrenia. Strongly supported regions are 6p24–22, 1q21–22, and 13q32–34, while other promising regions include 8p21–22, 6q16–25, 22q11–12, 5q21–q33, 10p15–p11, and 1q42. Genomic regions of interest in bipolar disorder include 6q16–q22, 12q23–q24, and regions of 9p22–p21, 10q21–q22, 14q24–q32, 13q32–q34, 22q11–q22, and chromosome 18. Recently, specific genes or loci have been implicated in both disorders and, crucially, replicated. Current evidence supports NRG1, DTNBP1, DISC1, DAOA(G72), DAO, and RGS4 as schizophrenia susceptibility loci. For bipolar disorder the strongest evidence supports DAOA(G72) and BDNF. Increasing evidence suggests an overlap in genetic susceptibility across the traditional classification systems that dichotomised psychotic disorders into schizophrenia or bipolar disorder, most notably with association findings at DAOA(G72), DISC1, and NRG1. Future identification of psychosis susceptibility genes will have a major impact on our understanding of disease pathophysiology and will lead to changes in classification and the clinical practice of psychiatry.

Green Consumption: Behavior and Norms

Abstract: Developing more environmentally sustainable consumption and production systems depends upon consumers' willingness to engage in “greener” consumption behaviors. Research efforts have sought to identify, analyze, and understand the “green consumer.” Initial marketing and economics research, focusing on purchasing activities, has been complemented by research from fields such as industrial ecology and sociology, providing a more holistic picture of green consumption as a process. Much of the research has focused on areas with the greatest environmental impacts, namely peoples' homes and household management, their food choices and behaviors, and their transport behaviors for work, leisure, and travel. The emerging picture of green consumption is of a process that is strongly influenced by consumer values, norms, and habits, yet is highly complex, diverse, and context dependent. There are opportunities for future research that provides greater interdisciplinarity and challenges our assumptions and expectations about consumption and the nature of the consumer society.