Regulation of cell adhesion by PP2A and SV40 small tumor antigen: An important link to cell transformation

The serine/threonine protein phosphatase 2A (PP2A) represents a large family of highly conserved heterotrimeric enzymes. Their critical importance in cell homeostasis is underlined by the fact that they are targets of natural toxins like the tumor promoter okadaic acid, and of simian virus 40 small tumor antigen (SV40 small t), a viral protein known to promote cell transformation. Furthermore, mutated or lower expression levels of PP2A subunits have been found in certain cancers. One major known event in PP2A-dependent cell transformation is the alteration of key signaling pathways that control cell growth and survival. In this review, we focus on how PP2A enzymes also affect cell adhesion and cytoskeletal dynamics, the disruption of which is linked to loss of cell polarity, increased cell motility and invasiveness. We also examine how those various pathways participate in the transforming activity of SV40 small t. Received 29 June 2006; received after revision 3 August 2006; accepted 20 September 2006     

Induction and effector functions of T(H)17 cells

T helper (T(H)) cells constitute an important arm of the adaptive immune system because they coordinate defence against specific pathogens, and their unique cytokines and effector functions mediate different types of tissue inflammation. The recently discovered T(H)17 cells, the third subset of effector T helper cells, have been the subject of intense research aimed at understanding their role in immunity and disease. Here we review emerging data suggesting that T(H)17 cells have an important role in host defence against specific pathogens and are potent inducers of autoimmunity and tissue inflammation. In addition, the differentiation factors responsible for their generation have revealed an interesting reciprocal relationship with regulatory T (T(reg)) cells, which prevent tissue inflammation and mediate self-tolerance.     

Using Critical Social Heuristics and Project-Based Learning to Enhance Data Warehousing Education

The aim of this paper is to demonstrate how project-based learning can be used from a critical systems perspective in data warehousing education. Data warehousing is a discipline in information technology focusing on providing data-driven decision support systems for strategic decision making. In this study we used action research from a critical (emancipative) perspective to reflect on our current instructional design of the data warehousing module before redesigning it to better serve the needs of the involved and affected. We used critical systems heuristics and project-based learning as frameworks of understanding to guide our intervention. Project-based learning is a learning/teaching approach aimed at organising the learning experience in terms of a project. We used written interpretive interviews in the diagnosis and evaluation of success phases of our action research cycle. Our reflection is according to the action research model of Checkland reflecting on our success in the area of application (data warehousing instruction) as well as our methodology (action research from a critical social theory perspective) and our framework of ideas (project-based learning and critical social heuristics).     

Towards a proteome-scale map of the human protein-protein interaction network

Systematic mapping of protein-protein interactions, or 'interactome' mapping, was initiated in model organisms, starting with defined biological processes and then expanding to the scale of the proteome. Although far from complete, such maps have revealed global topological and dynamic features of interactome networks that relate to known biological properties, suggesting that a human interactome map will provide insight into development and disease mechanisms at a systems level. Here we describe an initial version of a proteome-scale map of human binary protein-protein interactions. Using a stringent, high-throughput yeast two-hybrid system, we tested pairwise interactions among the products of approximately 8,100 currently available Gateway-cloned open reading frames and detected approximately 2,800 interactions. This data set, called CCSB-HI1, has a verification rate of approximately 78% as revealed by an independent co-affinity purification assay, and correlates significantly with other biological attributes. The CCSB-HI1 data set increases by approximately 70% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins. This work represents an important step towards a systematic and comprehensive human interactome project.