The auroral footprint of Enceladus on Saturn

Although there are substantial differences between the magnetospheres of Jupiter and Saturn, it has been suggested that cryovolcanic activity at Enceladus could lead to electrodynamic coupling between Enceladus and Saturn like that which links Jupiter with Io, Europa and Ganymede. Powerful field-aligned electron beams associated with the Io-Jupiter coupling, for example, create an auroral footprint in Jupiter's ionosphere. Auroral ultraviolet emission associated with Enceladus-Saturn coupling is anticipated to be just a few tenths of a kilorayleigh (ref. 12), about an order of magnitude dimmer than Io's footprint and below the observable threshold, consistent with its non-detection. Here we report the detection of magnetic-field-aligned ion and electron beams (offset several moon radii downstream from Enceladus) with sufficient power to stimulate detectable aurora, and the subsequent discovery of Enceladus-associated aurora in a few per cent of the scans of the moon's footprint. The footprint varies in emission magnitude more than can plausibly be explained by changes in magnetospheric parameters--and as such is probably indicative of variable plume activity.     

Alternatively activated macrophages produce catecholamines to sustain adaptive thermogenesis

All homeotherms use thermogenesis to maintain their core body temperature, ensuring that cellular functions and physiological processes can continue in cold environments. In the prevailing model of thermogenesis, when the hypothalamus senses cold temperatures it triggers sympathetic discharge, resulting in the release of noradrenaline in brown adipose tissue and white adipose tissue. Acting via the β(3)-adrenergic receptors, noradrenaline induces lipolysis in white adipocytes, whereas it stimulates the expression of thermogenic genes, such as PPAR-γ coactivator 1a (Ppargc1a), uncoupling protein 1 (Ucp1) and acyl-CoA synthetase long-chain family member 1 (Acsl1), in brown adipocytes. However, the precise nature of all the cell types involved in this efferent loop is not well established. Here we report in mice an unexpected requirement for the interleukin-4 (IL-4)-stimulated program of alternative macrophage activation in adaptive thermogenesis. Exposure to cold temperature rapidly promoted alternative activation of adipose tissue macrophages, which secrete catecholamines to induce thermogenic gene expression in brown adipose tissue and lipolysis in white adipose tissue. Absence of alternatively activated macrophages impaired metabolic adaptations to cold, whereas administration of IL-4 increased thermogenic gene expression, fatty acid mobilization and energy expenditure, all in a macrophage-dependent manner. Thus, we have discovered a role for alternatively activated macrophages in the orchestration of an important mammalian stress response, the response to cold.     

Transient dynamics of an altered large marine ecosystem

Overfishing of large-bodied benthic fishes and their subsequent population collapses on the Scotian Shelf of Canada's east coast and elsewhere resulted in restructuring of entire food webs now dominated by planktivorous, forage fish species and macroinvertebrates. Despite the imposition of strict management measures in force since the early 1990s, the Scotian Shelf ecosystem has not reverted back to its former structure. Here we provide evidence of the transient nature of this ecosystem and its current return path towards benthic fish species domination. The prolonged duration of the altered food web, and its current recovery, was and is being governed by the oscillatory, runaway consumption dynamics of the forage fish complex. These erupting forage species, which reached biomass levels 900% greater than those prevalent during the pre-collapse years of large benthic predators, are now in decline, having outstripped their zooplankton food supply. This dampening, and the associated reduction in the intensity of predation, was accompanied by lagged increases in species abundances at both lower and higher trophic levels, first witnessed in zooplankton and then in large-bodied predators, all consistent with a return towards the earlier ecosystem structure. We conclude that the reversibility of perturbed ecosystems can occur and that this bodes well for other collapsed fisheries.     

Family of disulphide-linked dimers containing the zeta and eta chains of the T-cell receptor and the gamma chain of Fc receptors

Stimulation of T cells by antigen activates many signalling pathways. The capacity for this range of biochemical responses may reside in the complex structure of the seven-chain T-cell antigen receptor (TCR). In addition to the complexity shared by all TCRs, coexpression of zeta (zeta) and the distinct but related eta (eta) chains creates structural diversity among the TCR complexes expressed on a given cell. In most murine T cells that we have studied, about 90% of the heptameric receptor complexes contain a zeta zeta disulphide homodimer, whereas 10% contain a zeta eta disulphide heterodimer. Recent studies suggest that zeta has a critical role in allowing antigen to activate the cell, whereas eta expression has been correlated with the capacity for antigen-induced phosphoinositide turnover. A third zeta-related protein, the gamma (gamma) chain of the Fc epsilon and some Fc gamma receptors, exists as a disulphide homodimer in those complexes. The structural relatedness of zeta and gamma is emphasized by the recent demonstration of zeta zeta in association with CD16 in TCR-negative natural killer cells. Here we identify T cells lacking Fc receptors but coexpressing zeta, gamma, and eta, document the formation of novel heterodimers between zeta and gamma and between eta and gamma and show their association with the TCR. A greater range of homologous coupling structures than previously thought may be one way of achieving the variety of TCR-mediated (and possibly Fc receptor-mediated) biochemical responses and effector functions.     

A preliminary study of optimal variable weighting in k-means clustering

Recently, algorithms for optimally weighting variables in non-hierarchical and hierarchical clustering methods have been proposed. Preliminary Monte Carlo research has shown that at least one of these algorithms cross-validates extremely well.The present study applies a k-means, optimal weighting procedure to two empirical data sets and contrasts its cross-validation performance with that of unit (i.e., equal) weighting of the variables. We find that the optimal weighting procedure cross-validates better in one of the two data sets. In the second data set its comparative performance strongly depends on the approach used to find seed values for the initial k-means partitioning.The authors would like to acknowledge the support of the Citibank Fellowship from the Sol C. Snider Entrepreneurial Center at the Wharton School. The authors would like to express their appreciation to J. Douglas Carroll and Abba M. Kreiger for comments on an earlier version of the paper.