Pro-apoptotic activity of ergosterol peroxide and (22E)-ergosta-7,22-dien-5α-hydroxy-3,6-dione in human prostate cancer cells

With the aim of identifying novel agents with antigrowth and pro-apoptotic activity on prostate cancer cells, we assayed the effect of ergosterol peroxide and (22E)-ergosta-7,22-dien-5α-hydroxy-3,6-dione, a semisynthetic compound, against androgen-sensitive (LNCaP) and androgen-insensitive (DU-145) human prostate cancer cells. Our results indicate that after 72 h of incubation, ergosterol peroxide and (22E)-ergosta-7,22-dien-5α-hydroxy-3,6-dione at micromolar concentrations exhibited an inhibitory effect on LNCaP and DU-145 cell growth (MTT assay), but the semisynthetic compound was the most active. In addition, our results indicate that apoptotic cell demise is induced in LNCaP and DU-145 cells. In fact, a significant increase of caspase-3 activity, not correlated to LDH release, marker of membrane breakdown, was observed in both cell lines treated with ergosterol peroxide and the semisynthetic compound. With respect to genomic DNA damage, determined by COMET and TUNEL assays, the results obtained show a significant increase in DNA fragmentation when compared with the untreated control.In conclusion, the results obtained in this study, demonstrating that ergosterol peroxide and (22E)-ergosta-7,22-dien-5α-hydroxy-3,6-dione attenuate the growth of prostate cells, at least in part, triggering an apoptotic process, permit to confirm the use of mushrooms as origin of compounds to be used as novel therapeutic agents for prostate cancer treatment, or as models for molecules more active and selective.     

Detection and application of novel SSR markers from transcriptome data for Astronium fraxinifolium Schott,a threatened Brazilian tree species

Molecular Biology Reports - Astronium fraxinifolium is an endangered tree species from Brazil. Due to its significance in environmental reforestation, as well as the continued exploitation of its...     

A genetic response to high altitude hypoxia: high hemoglobin-oxygen affinity in chicken (Gallus gallus) from the Peruvian Andes.

A population of chicken (Gallus gallus) from the Peruvian Andes (4,000 m) carrying a high hemoglobin-oxygen affinity has been identified. This property remained stable after over 1 year residence at sea level and was transmitted to the descendants born at sea level. Chicken were introduced in South America during the Spanish conquest and therefore their adaptation time to high altitude is less than 500 years. This finding shows that a genotypic change in hemoglobin function can occur in an extremely short evolutionary time and leads to some reflections on the high altitude adaptation of the mammals that migrated to South America during the great Plio-Pleistocene interchange.     

Dissecting the Molecular Mechanism of Nucleotide-Dependent Activation of the KtrAB K+ Transporter

KtrAB belongs to the Trk/Ktr/HKT superfamily of monovalent cation (K⁺ and Na⁺) transport proteins that closely resemble K⁺ channels. These proteins underlie a plethora of cellular functions that are crucial for environmental adaptation in plants, fungi, archaea, and bacteria. The activation mechanism of the Trk/Ktr/HKT proteins remains unknown. It has been shown that ATP stimulates the activity of KtrAB while ADP does not. Here, we present X-ray structural information on the KtrAB complex with bound ADP. A comparison with the KtrAB-ATP structure reveals conformational changes in the ring and in the membrane protein. In combination with a biochemical and functional analysis, we uncover how ligand-dependent changes in the KtrA ring are propagated to the KtrB membrane protein and conclude that, despite their structural similarity, the activation mechanism of KtrAB is markedly different from the activation mechanism of K⁺ channels.     

SVCT2 Expression and Function in Reactive Astrocytes Is a Common Event in Different Brain Pathologies

Ascorbic acid (AA), the reduced form of vitamin C, acts as a neuroprotector by eliminating free radicals in the brain. Sodium/vitamin C co-transporter isoform 2 (SVCT2) mediates uptake of AA by neurons. It has been reported that SVCT2 mRNA is induced in astrocytes under ischemic damage, suggesting that its expression is enhanced in pathological conditions. However, it remains to be established if SVCT expression is altered in the presence of reactive astrogliosis generated by different brain pathologies. In the present work, we demonstrate that SVCT2 expression is increased in astrocytes present at sites of neuroinflammation induced by intracerebroventricular injection of a GFP-adenovirus or the microbial enzyme, neuraminidase. A similar result was observed at 5 and 10 days after damage in a model of traumatic injury and in the hippocampus and cerebral cortex in the in vivo kindling model of epilepsy. Furthermore, we defined that cortical astrocytes maintained in culture for long periods acquire markers of reactive gliosis and express SVCT2, in a similar way as previously observed in situ. Finally, by means of second harmonic generation and 2-photon fluorescence imaging, we analyzed brain necropsied material from patients with Alzheimer’s disease (AD), which presented with an accumulation of amyloid plaques. Strikingly, although AD is characterized by focalized astrogliosis surrounding amyloid plaques, SVCT2 expression at the astroglial level was not detected. We conclude that SVCT2 is heterogeneously induced in reactive astrogliosis generated in different pathologies affecting the central nervous system (CNS).     

Applications of weighted association networks applied to compositional data in biology

Next-generation sequencing technologies have generated, and continue to produce, an increasingly large corpus of biological data. The data generated are inherently compositional as they convey only relative information dependent upon the capacity of the instrument, experimental design and technical bias. There is considerable information to be gained through network analysis by studying the interactions between components within a system. Network theory methods using compositional data are powerful approaches for quantifying relationships between biological components and their relevance to phenotype, environmental conditions or other external variables. However, many of the statistical assumptions used for network analysis are not designed for compositional data and can bias downstream results. In this mini-review, we illustrate the utility of network theory in biological systems and investigate modern techniques while introducing researchers to frameworks for implementation. We overview (1) compositional data analysis, (2) data transformations and (3) network theory along with insight on a battery of network types including static-, temporal-, sample-specific- and differential-networks. The intention of this mini-review is not to provide a comprehensive overview of network methods, rather to introduce microbiology researchers to (semi)-unsupervised data-driven approaches for inferring latent structures that may give insight into biological phenomena or abstract mechanics of complex systems.