Stratospheric aerosol extinction retrieved from SCIAMACHY measurements in limb geometry

Stratosphärische Partikel sind typischerweise mit dem bloßen Auge nicht wahrnehmbar. Dennoch haben sie einen signifikanten Einfluss auf die Strahlungsbilanz der Erde und die heteorogene Chemie in der Stratosphäre. Kontinuierliche, vertikal aufgelöste, globale Datensätze sind daher essenziell für das Verständnis physikalischer und chemischer Prozesse in diesem Teil der Atmosphäre. Beginnend mit den Messungen des zweiten Stratospheric Aerosol Measurement (SAM II) Instruments im Jahre 1978 existiert eine kontinuierliche Zeitreihe für stratosphärische Aerosol-Extinktionsprofile, welche von Messinstrumenten wie dem zweiten Stratospheric Aerosol and Gas Experiment (SAGE II), dem SCIAMACHY, dem OSIRIS und dem OMPS bis heute fortgeführt wird. rnrnIn dieser Arbeit wird ein neu entwickelter Algorithmus vorgestellt, der das sogenannte ,,Zwiebel-Schäl Prinzip'' verwendet, um Extinktionsprofile zwischen 12 und 33 km zu berechnen. Dafür wird der Algorithmus auf Radianzprofile einzelner Wellenlängen angewandt, die von SCIAMACHY in der Limb-Geometrie gemessen wurden. SCIAMACHY's einzigartige Methode abwechselnder Limb- und Nadir-Messungen bietet den Vorteil, hochaufgelöste vertikale und horizontale Messungen mit zeitlicher und räumlicher Koinzidenz durchführen zu können. Die dadurch erlangten Zusatzinformationen können verwendet werden, um die Effekte von horizontalen Gradienten entlang der Sichtlinie des Messinstruments zu korrigieren, welche vor allem kurz nach Vulkanausbrüchen und für polare Stratosphärenwolken beobachtet werden. Wenn diese Gradienten für die Berechnung von Extinktionsprofilen nicht beachtet werden, so kann dies dazu führen, dass sowohl die optischen Dicke als auch die Höhe von Vulkanfahnen oder polarer Stratosphärenwolken unterschätzt werden. In dieser Arbeit wird ein Verfahren vorgestellt, welches mit Hilfe von dreidimensionalen Strahlungstransportsimulationen und horizontal aufgelösten Datensätzen die berechneten Extinktionsprofile korrigiert.rnrnVergleichsstudien mit den Ergebnissen von Satelliten- (SAGE II) und Ballonmessungen zeigen, dass Extinktionsprofile von stratosphärischen Partikeln mit Hilfe des neu entwickelten Algorithmus berechnet werden können und gut mit bestehenden Datensätzen übereinstimmen. Untersuchungen des Nabro Vulkanausbruchs 2011 und des Auftretens von polaren Stratosphärenwolken in der südlichen Hemisphäre zeigen, dass das Korrekturverfahren für horizontale Gradienten die berechneten Extinktionsprofile deutlich verbessert.

Toward cell therapy using placenta-derived cells: disease mechanisms, cell biology, preclinical studies, and regulatory aspects at the round table

Among the many cell types that may prove useful to regenerative medicine, mounting evidence suggests that human term placenta-derived cells will join the list of significant contributors. In making new cell therapy-based strategies a clinical reality, it is fundamental that no a priori claims are made regarding which cell source is preferable for a particular therapeutic application. Rather, ongoing comparisons of the potentiality and characteristics of cells from different sources should be made to promote constant improvement in cell therapies, and such comparisons will likely show that individually tailored cells can address disease-specific clinical needs. The principle underlying such an approach is resistance to the notion that comprehensive characterization of any cell type has been achieved, neither in terms of phenotype nor risks-to-benefits ratio. Tailoring cell therapy approaches to specific conditions also requires an understanding of basic disease mechanisms and close collaboration between translational researchers and clinicians, to identify current needs and shortcomings in existing treatments. To this end, the international workshop entitled "Placenta-derived stem cells for treatment of inflammatory diseases: moving toward clinical application" was held in Brescia, Italy, in March 2009, and aimed to harness an understanding of basic inflammatory mechanisms inherent in human diseases with updated findings regarding biological and therapeutic properties of human placenta-derived cells, with particular emphasis on their potential for treating inflammatory diseases. Finally, steps required to allow their future clinical application according to regulatory aspects including good manufacturing practice (GMP) were also considered. In September 2009, the International Placenta Stem Cell Society (IPLASS) was founded to help strengthen the research network in this field.

[Molecular biology of malignant lymphomas for non-specialists]

Lymphomas comprise a variety of entities with remarkable clinical heterogeneity. This review summarizes the current knowledge on the pathogenesis of major mature B-cell lymphoma subtypes for clinicians working outside the field of hemato-oncology. The understanding of the pathogenesis of lymphomas is linked to the knowledge on normal B-cell differentiation. The clinical diversity is manifested in the different mechanisms involved in lymphomagenesis that include characteristic chromosomal translocations deregulating proto-oncogenes, and inactivation of tumor suppressor genes through deletions and mutations. Gene-expression profiling has dissected certain lymphomas into morphologically indistinguishable, but clinically important subgroups and uncovered pathways suitable for specific therapeutic interventions.

Biology of FGFRL1, the fifth fibroblast growth factor receptor

FGFRL1 (fibroblast growth factor receptor like 1) is the most recently discovered member of the FGFR family. It contains three extracellular Ig-like domains similar to the classical FGFRs, but it lacks the protein tyrosine kinase domain and instead contains a short intracellular tail with a peculiar histidine-rich motif. The gene for FGFRL1 is found in all metazoans from sea anemone to mammals. FGFRL1 binds to FGF ligands and heparin with high affinity. It exerts a negative effect on cell proliferation, but a positive effect on cell differentiation. Mice with a targeted deletion of the Fgfrl1 gene die perinatally due to alterations in their diaphragm. These mice also show bilateral kidney agenesis, suggesting an essential role for Fgfrl1 in kidney development. A human patient with a frameshift mutation exhibits craniosynostosis, arguing for an additional role of FGFRL1 during bone formation. FGFRL1 contributes to the complexity of the FGF signaling system.

Molecular subtype analysis determines the association of advanced breast cancer in Egypt with favorable biology

Background Prognostic markers and molecular breast cancer subtypes reflect underlying biological tumor behavior and are important for patient management. Compared to Western countries, women in North Africa are less likely to be prognosticated and treated based on well-characterized markers such as the estrogen receptor (ER), progesterone receptor (PR) and Her2. We conducted this study to determine the prevalence of breast cancer molecular subtypes in the North African country of Egypt as a measure of underlying biological characteristics driving tumor manifestations. Methods To determine molecular subtypes we characterized over 200 tumor specimens obtained from Egypt by performing ER, PR, Her2, CK5/6, EGFR and Ki67 immunohistochemistry. Results Our study demonstrated that the Luminal A subtype, associated with favorable prognosis, was found in nearly 45% of cases examined. However, the basal-like subtype, associated with poor prognosis, was found in 11% of cases. These findings are in sharp contrast to other parts of Africa in which the basal-like subtype is over-represented. Conclusions Egyptians appear to have favorable underlying biology, albeit having advanced disease at diagnosis. These data suggest that Egyptians would largely profit from early detection of their disease. Intervention at the public health level, including education on the benefits of early detection is necessary and would likely have tremendous impact on breast cancer outcome in Egypt.

Eutrophication causes speciation reversal in whitefish adaptive radiations

Species diversity can be lost through two different but potentially interacting extinction processes: demographic decline and speciation reversal through introgressive hybridization. To investigate the relative contribution of these processes, we analysed historical and contemporary data of replicate whitefish radiations from 17 pre-alpine European lakes and reconstructed changes in genetic species differentiation through time using historical samples. Here we provide evidence that species diversity evolved in response to ecological opportunity, and that eutrophication, by diminishing this opportunity, has driven extinctions through speciation reversal and demographic decline. Across the radiations, the magnitude of eutrophication explains the pattern of species loss and levels of genetic and functional distinctiveness among remaining species. We argue that extinction by speciation reversal may be more widespread than currently appreciated. Preventing such extinctions will require that conservation efforts not only target existing species but identify and protect the ecological and evolutionary processes that generate and maintain species.

Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology

Genome-wide association studies (GWAS) have defined over 150 genomic regions unequivocally containing variation predisposing to immune-mediated disease. Inferring disease biology from these observations, however, hinges on our ability to discover the molecular processes being perturbed by these risk variants. It has previously been observed that different genes harboring causal mutations for the same Mendelian disease often physically interact. We sought to evaluate the degree to which this is true of genes within strongly associated loci in complex disease. Using sets of loci defined in rheumatoid arthritis (RA) and Crohn's disease (CD) GWAS, we build protein-protein interaction (PPI) networks for genes within associated loci and find abundant physical interactions between protein products of associated genes. We apply multiple permutation approaches to show that these networks are more densely connected than chance expectation. To confirm biological relevance, we show that the components of the networks tend to be expressed in similar tissues relevant to the phenotypes in question, suggesting the network indicates common underlying processes perturbed by risk loci. Furthermore, we show that the RA and CD networks have predictive power by demonstrating that proteins in these networks, not encoded in the confirmed list of disease associated loci, are significantly enriched for association to the phenotypes in question in extended GWAS analysis. Finally, we test our method in 3 non-immune traits to assess its applicability to complex traits in general. We find that genes in loci associated to height and lipid levels assemble into significantly connected networks but did not detect excess connectivity among Type 2 Diabetes (T2D) loci beyond chance. Taken together, our results constitute evidence that, for many of the complex diseases studied here, common genetic associations implicate regions encoding proteins that physically interact in a preferential manner, in line with observations in Mendelian disease.