255 research outputs found
Developing an expanded vector control toolbox for malaria elimination
Get PDFVector control using long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) accounts for most of the malaria burden reductions achieved recently in low and middle-income countries (LMICs). LLINs and IRS are highly effective, but are insufficient to eliminate malaria transmission in many settings because of operational constraints, growing resistance to available insecticides and mosquitoes that behaviourally avoid contact with these interventions. However, a number of substantive opportunities now exist for rapidly developing and implementing more diverse, effective and sustainable malaria vector control strategies for LMICs. For example, mosquito control in high-income countries is predominantly achieved with a combination of mosquito-proofed housing and environmental management, supplemented with large-scale insecticide applications to larval habitats and outdoor spaces that kill off vector populations en masse, but all these interventions remain underused in LMICs. Programmatic development and evaluation of decentralised, locally managed systems for delivering these proactive mosquito population abatement practices in LMICs could therefore enable broader scale-up. Furthermore, a diverse range of emerging or repurposed technologies are becoming available for targeting mosquitoes when they enter houses, feed outdoors, attack livestock, feed on sugar or aggregate into mating swarms. Global policy must now be realigned to mobilise the political and financial support necessary to exploit these opportunities over the decade ahead, so that national malaria control and elimination programmes can access a much broader, more effective set of vector control interventions
Mining gene functional networks to improve mass-spectrometry-based protein identification
Get PDFMotivation: High-throughput protein identification experiments based on tandem mass spectrometry (MS/MS) often suffer from low sensitivity and low-confidence protein identifications. In a typical shotgun proteomics experiment, it is assumed that all proteins are equally likely to be present. However, there is often other evidence to suggest that a protein is present and confidence in individual protein identification can be updated accordingly
The Seventh Data Release of the Sloan Digital Sky Survey
Get PDFThis paper describes the Seventh Data Release of the Sloan Digital Sky Survey
(SDSS), marking the completion of the original goals of the SDSS and the end of
the phase known as SDSS-II. It includes 11663 deg^2 of imaging data, with most
of the roughly 2000 deg^2 increment over the previous data release lying in
regions of low Galactic latitude. The catalog contains five-band photometry for
357 million distinct objects. The survey also includes repeat photometry over
250 deg^2 along the Celestial Equator in the Southern Galactic Cap. A
coaddition of these data goes roughly two magnitudes fainter than the main
survey. The spectroscopy is now complete over a contiguous area of 7500 deg^2
in the Northern Galactic Cap, closing the gap that was present in previous data
releases. There are over 1.6 million spectra in total, including 930,000
galaxies, 120,000 quasars, and 460,000 stars. The data release includes
improved stellar photometry at low Galactic latitude. The astrometry has all
been recalibrated with the second version of the USNO CCD Astrograph Catalog
(UCAC-2), reducing the rms statistical errors at the bright end to 45
milli-arcseconds per coordinate. A systematic error in bright galaxy photometr
is less severe than previously reported for the majority of galaxies. Finally,
we describe a series of improvements to the spectroscopic reductions, including
better flat-fielding and improved wavelength calibration at the blue end,
better processing of objects with extremely strong narrow emission lines, and
an improved determination of stellar metallicities. (Abridged)Comment: 20 pages, 10 embedded figures. Accepted to ApJS after minor
correction
Patterns and drivers of species composition of epiphytic bryophytes and lichens in managed temperate forests
Get PDFEpiphytic bryophytes and lichens are an important component of the endangered forest biota in temperate
forests, their diversity and composition patterns being regulated by tree, stand and landscape scale
factors. The aim of this study is to improve ecological understanding of such factors in managed coniferousβ
deciduous mixed forests of Hungary in the context of forest management. In particular, this study
investigate the effect of tree species composition, stand structure (tree size distribution, shrub layer
and dead wood), microclimate (light, temperature and air humidity), landscape and historical factors
on the stand level and tree level composition of epiphytic bryophytes and lichens. The relationships were
explored by multivariate methods (redundancy analysis, canonical correspondence analysis and variation
partitioning) and indicator species analysis. Tree species is among the most important driver of species
composition in both organism groups. For bryophytes, the continuity of forest microclimate and the presence
of shrub layer are also important, while lichen assemblages are influenced by light availability.
Landscape and historical variables were less influential than stand scale factors. On the basis of our
results, the main strategy of management focusing on epiphyte diversity conservation should include:
(1) the maintenance of tree species diversity in mixed stands; (2) increasing the proportion of deciduous
trees (mainly oaks and hornbeam); (3) the maintenance of large trees within the stands; (4) the presence
of shrub and regeneration layer; (5) the creation of heterogeneous light conditions
Factors influencing epiphytic bryophyte and lichen species richness at different spatial scales in managed temperate forests
Get PDFThe effect of management related factors on species richness of epiphytic
bryophytes and lichens was studied in managed deciduous-coniferous mixed
forests in Western-Hungary. At the stand level, the potential explanatory
variables were tree species composition, stand structure, microclimate and
light conditions, landscape and historical variables; while at tree level host
tree species, tree size and light were studied. Species richness of the two
epiphyte groups was positively correlated. Both for lichen and bryophyte plot
level richness, the composition and diversity of tree species and the abundance of shrub layer were the most influential positive factors. Besides, for
bryophytes the presence of large trees, while for lichens amount and
heterogeneity of light were important. Tree level richness was mainly
determined by host tree species for both groups. For bryophytes oaks, while for lichens oaks and hornbeam turned out the most favourable hosts. Tree size
generally increased tree level species richness, except on pine for bryophytes
and on hornbeam for lichens.
The key variables for epiphytic diversity of the region were directly
influenced by recent forest management; historical and landscape variables
were not influential. Forest management oriented to the conservation of
epiphyte s should focus on: (i) the maintenance of tree species diversity in
mixed stands; (ii) increment the proportion of deciduous trees (mainly oaks);
(iii) conserving large trees within the stands; (iv) providing the presence of
shrub and regeneration layer; (v) creating heterogeneous light conditions. For
these purposes tree selection and selective cutting management seem more
appropriate than shelterwood system
Global transcriptome-wide analysis of CIK cells identify distinct roles of IL-2 and IL-15 in acquisition of cytotoxic capacity against tumor
Full text linkHuman Cytomegalovirus IE1 Protein Elicits a Type II Interferon-Like Host Cell Response That Depends on Activated STAT1 but Not Interferon-Ξ³
Get PDFHuman cytomegalovirus (hCMV) is a highly prevalent pathogen that, upon primary
infection, establishes life-long persistence in all infected individuals. Acute
hCMV infections cause a variety of diseases in humans with developmental or
acquired immune deficits. In addition, persistent hCMV infection may contribute
to various chronic disease conditions even in immunologically normal people. The
pathogenesis of hCMV disease has been frequently linked to inflammatory host
immune responses triggered by virus-infected cells. Moreover, hCMV infection
activates numerous host genes many of which encode pro-inflammatory proteins.
However, little is known about the relative contributions of individual viral
gene products to these changes in cellular transcription. We systematically
analyzed the effects of the hCMV 72-kDa immediate-early 1 (IE1) protein, a major
transcriptional activator and antagonist of type I interferon (IFN) signaling,
on the human transcriptome. Following expression under conditions closely
mimicking the situation during productive infection, IE1 elicits a global type
II IFN-like host cell response. This response is dominated by the selective
up-regulation of immune stimulatory genes normally controlled by IFN-Ξ³ and
includes the synthesis and secretion of pro-inflammatory chemokines.
IE1-mediated induction of IFN-stimulated genes strictly depends on
tyrosine-phosphorylated signal transducer and activator of transcription 1
(STAT1) and correlates with the nuclear accumulation and sequence-specific
binding of STAT1 to IFN-Ξ³-responsive promoters. However, neither synthesis
nor secretion of IFN-Ξ³ or other IFNs seems to be required for the
IE1-dependent effects on cellular gene expression. Our results demonstrate that
a single hCMV protein can trigger a pro-inflammatory host transcriptional
response via an unexpected STAT1-dependent but IFN-independent mechanism and
identify IE1 as a candidate determinant of hCMV pathogenicity
Social determinants of health inequalities: towards a theoretical perspective using systems science
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