Effect of nutrients on growth and lipid accumulation in the green algae Dunaliella tertiolecta

Production of biofuel from algae is dependent on the microalgal biomass production rate and lipid content. Both biomass production and lipid accumulation are limited by several factors, of which nutrients play a key role. In this research, the marine microalgae Dunaliella tertiolecta was used as a model organism and a profile of its nutritional requirements was determined. Inorganic phosphate PO4(3-) and trace elements: cobalt (Co2+), iron (Fe3+), molybdenum (Mo2+) and manganese (Mn2+) were identified as required for algae optimum growth. Inorganic nitrogen in the form of nitrate NO3- instead of ammonium (NH4+) was required for maximal biomass production. Lipids accumulated under nitrogen starvation growth condition and this was time-dependent. Results of this research can be applied to maximize production of microalgal lipids in optimally designed photobioreactors.     

Splicing factor hnRNPH drives an oncogenic splicing switch in gliomas

In tumours, aberrant splicing generates variants that contribute to multiple aspects of tumour establishment, progression and maintenance. We show that in glioblastoma multiforme (GBM) specimens, death-domain adaptor protein Insuloma-Glucagonoma protein 20 (IG20) is consistently aberrantly spliced to generate an antagonist, anti-apoptotic isoform (MAP-kinase activating death domain protein, MADD), which effectively redirects TNF-α/TRAIL-induced death signalling to promote survival and proliferation instead of triggering apoptosis. Splicing factor hnRNPH, which is upregulated in gliomas, controls this splicing event and similarly mediates switching to a ligand-independent, constitutively active Recepteur d'Origine Nantais (RON) tyrosine kinase receptor variant that promotes migration and invasion. The increased cell death and the reduced invasiveness caused by hnRNPH ablation can be rescued by the targeted downregulation of IG20/MADD exon 16- or RON exon 11-containing variants, respectively, using isoform-specific knockdown or splicing redirection approaches. Thus, hnRNPH activity appears to be involved in the pathogenesis and progression of malignant gliomas as the centre of a splicing oncogenic switch, which might reflect reactivation of stem cell patterns and mediates multiple key aspects of aggressive tumour behaviour, including evasion from apoptosis and invasiveness.     

Axon-glial disruption: the link between vascular disease and Alzheimer's disease?

Vascular risk factors play a critical role in the development of cognitive decline and AD (Alzheimer's disease), during aging, and often result in chronic cerebral hypoperfusion. The neurobiological link between hypoperfusion and cognitive decline is not yet defined, but is proposed to involve damage to the brain's white matter. In a newly developed mouse model, hypoperfusion, in isolation, produces a slowly developing and diffuse damage to myelinated axons, which is widespread in the brain, and is associated with a selective impairment in working memory. Cerebral hypoperfusion, an early event in AD, has also been shown to be associated with white matter damage and notably an accumulation of amyloid. The present review highlights some of the published data linking white matter disruption to aging and AD as a result of vascular dysfunction. A model is proposed by which chronic cerebral hypoperfusion, as a result of vascular factors, results in both the generation and accumulation of amyloid and injury to white matter integrity, resulting in cognitive impairment. The generation of amyloid and accumulation in the vasculature may act to perpetuate further vascular dysfunction and accelerate white matter pathology, and as a consequence grey matter pathology and cognitive decline.     

Dependence on different Rab GTPases for the trafficking of CXCR4 and CCR5 homo or heterodimers between the endoplasmic reticulum and plasma membrane in Jurkat cells

Much is known about G protein coupled receptor trafficking and internalization following agonist stimulation. However, much less is known about outward trafficking of receptors from synthesis in the endoplasmic reticulum to the plasma membrane, or the role that trafficking might play in the assembly of receptor signaling complexes, important for targeting, specificity, and rapidity of subsequent signaling events. Up to now, very little is understood about receptor hetero-oligomers other than the fact that their assembly is done rapidly after biosynthesis. In our study we use bimolecular fluorescence complementation to selectively follow receptor dimers when expressed in Jurkat cells in order to clarify the trafficking itinerary those receptors follow to reach the plasma membrane and the resulting effect on signal transduction. CXCR4 and CCR5, previously shown to form both homo and hetero-oligomers, were used as our model to understand the specificities of trafficking along the anterograde pathway. The CXCR4 homodimer relies on Rabs2, 6 and 8 for anterograde transport regardless of the presence of endogenous CD4. The CCR5 homodimer relies on Rabs1 and 11 when CD4 is absent, but Rabs1 and 8 when CD4 was present. Interestingly, similar to the CCR5 homodimer, the CXCR4-CCR5 heterodimer relied on Rabs1 and 11 but also required Rab2 when CD4 was absent, and only Rab 1 when CD4 was present. Our results demonstrate that, although the receptors composing the heterodimeric complex are the same as in the homodimeric ones, the heterodimer traffics and signals differently than each homodimer. Our study demonstrates the importance of considering the receptor heterodimers as distinct signaling entities that should be carefully and individually characterized.     

A microsatellite polymorphism in intron 2 of human Toll-like receptor 2 gene: functional implications and racial differences

The human Toll-like receptor 2 (TLR2) mediates responses of both innate and adaptive immunity to Gram-positive bacteria, including mycobacteria. We sought functional polymorphisms in the 5'-untranslated region (UTR) of TLR2. We found a highly polymorphic (GT)n dinucleotide repeat 100 bp upstream of the TLR2 translational start site in intron 2. The numbers of GT repeats varied from 12 to 28. There were significant differences in allele distribution between African Americans and Caucasians (P=0.008) and between African Americans and Koreans (P=0.0003). The promoter activities of recombinant promoter-intron2/reporter constructs including the shortest [GT)n=12] or longest [(GT)n=28] alleles were significantly more stimulated when exposed to 200 IU ml(-1) of interferon-gamma than when exposed to 100 IU ml(-1) of GM-CSF (P<==0.03). Since TLR2 plays a critical role in the human innate immune response, this functional microsatellite polymorphism may be important in the pathogenesis of infectious and inflammatory diseases.     

An organ culture system to model early degenerative changes of the intervertebral disc

Introduction  

Back pain, a significant source of morbidity in our society, is related to the degenerative changes of the intervertebral disc. At present, the treatment of disc disease consists of therapies that are aimed at symptomatic relief. This shortcoming stems in large part from our lack of understanding of the biochemical and molecular events that drive the disease process. The goal of this study is to develop a model of early disc degeneration using an organ culture. This approach is based on our previous studies that indicate that organ culture closely models molecular events that occur in vivo in an ex vivo setting.     

Graphical approach to model reduction for nonlinear biochemical networks

Model reduction is a central challenge to the development and analysis of multiscale physiology models. Advances in model reduction are needed not only for computational feasibility but also for obtaining conceptual insights from complex systems. Here, we introduce an intuitive graphical approach to model reduction based on phase plane analysis. Timescale separation is identified by the degree of hysteresis observed in phase-loops, which guides a "concentration-clamp" procedure for estimating explicit algebraic relationships between species equilibrating on fast timescales. The primary advantages of this approach over Jacobian-based timescale decomposition are that: 1) it incorporates nonlinear system dynamics, and 2) it can be easily visualized, even directly from experimental data. We tested this graphical model reduction approach using a 25-variable model of cardiac β(1)-adrenergic signaling, obtaining 6- and 4-variable reduced models that retain good predictive capabilities even in response to new perturbations. These 6 signaling species appear to be optimal "kinetic biomarkers" of the overall β(1)-adrenergic pathway. The 6-variable reduced model is well suited for integration into multiscale models of heart function, and more generally, this graphical model reduction approach is readily applicable to a variety of other complex biological systems.