Cell-to-cell communication is essential for the organization, coordination, and development of cellular networks and multi-cellular systems. Intercellular communication is mediated by soluble factors (including growth factors, neurotransmitters, and cytokines/chemokines), gap junctions, exosomes and recently described tunneling nanotubes (TNTs). It is unknown whether a combination of these communication mechanisms such as TNTs and gap junctions may be important, but further research is required. TNTs are long cytoplasmic bridges that enable long-range, directed communication between connected cells. The proposed functions of TNTs are diverse and not well understood but have been shown to include the cell-to-cell transfer of vesicles, organelles, electrical stimuli and small molecules. However, the exact role of TNTs and gap junctions for intercellular communication and their impact on disease is still uncertain and thus, the subject of much debate. The combined data from numerous laboratories indicate that some TNT mediate a long-range gap junctional communication to coordinate metabolism and signaling, in relation to infectious, genetic, metabolic, cancer, and age-related diseases. This review aims to describe the current knowledge, challenges and future perspectives to characterize and explore this new intercellular communication system and to design TNT-based therapeutic strategies.

It is often thought that historic preservation and economic interests are competing values. This case study of a large Chicago neighborhood provides evidence that National Historic District designation was beneficial to properties in the district. Substantial external benefits were also found. The designation of two smaller areas within the study area as Chicago Historic Districts had a negative effect on property values, however, indicating that the impact depends on the restrictions imposed by preservation measures.

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This paper examines the relationship between quality of life, health and several socioeconomic variables. The analysis utilizes empirical data obtained from a survey questionnaire administered on a random sample of over 2000 residents in twenty-one counties in West Virginia, and spatial data obtained by geocoding the survey respondents' addressees. Quality of life is measured by a three-point categorical measure of overall satisfaction and an ordered probit model is used to examine the relationships. The empirical results are consistent with the theoretical predictions and indicate, for instance, that quality of life satisfaction increases with income and education while it decreases with unemployment.