Improving Organ Procurement Travel Practices in the United States: Proceedings from the Michigan Donor Travel Forum

There are significant risks and inefficiencies associated with organ procurement travel. In an effort to identify, quantify, and define opportunities to mitigate these risks and inefficiencies, 25 experts from the transplantation, transportation and insurance fields were convened. The forum concluded that: on procurement travel practices are inadequate, there is wide variation in the quality of aero-medical transportation, current travel practices for organ procurement are inefficient and there is a lack of standards for organ procurement travel liability coverage. The forum concluded that the transplant community should require that air-craft vendors adhere to industry quality standards compatible with the degree of risk in their mission profiles. Within this context, a purchasing collaborative within the transplant community may offer opportunities for improved service and safety with lower costs. In addition, changes in travel practices should be considered with broader sharing of procurement duties across centers. Finally, best practice standards should be instituted for life insurance for transplant personnel and liability insurance for providers. Overall, the aims of these proposals are to raise procurement travel standards and in doing so, to improve the transplantation as a whole.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79257/1/j.1600-6143.2009.02964.x.pd

Particle Moment Canting in CoFe2O4 Nanoparticles

Polarization-analyzed small-angle neutron scattering methods are used to determine the spin morphology in high crystalline anisotropy, 11 nm diameter CoFe2O4 nanoparticle assemblies with randomly oriented easy axes. In moderate to high magnetic fields, the nanoparticles adopt a uniformly canted structure, rather than forming domains, shells, or other arrangements. The observed canting angles agree quantitatively with those predicted from an energy model dominated by Zeeman and anisotropy competition, with implications for the technological use of such nanoparticles

Genetic effects on gene expression across human tissues

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of diseas

Genetic effects on gene expression across human tissues

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease