A temporal comparison of a benthic infaunal community southwest of St. Lawrence Island, Bering Sea between 2006 and 1970–1974

Benthic infaunal biomass and abundance may be changing in Bering Sea communities. This study compared benthic infaunal biomass, abundance, and community composition southwest of St. Lawrence Island in an important forage area for benthic-feeding birds and mammals between 1970–1974 and 2006. Invertebrate biomass and abundance were significantly greater in 2006 than in 1970–1974 primarily due to high nuculid (Bivalvia) biomass and abundance that contributed 13.2% (biomass) and 8.5% (abundance) to differences in community structure between the sampling periods. This is in contrast to St. Lawrence Island Polynya studies conducted in the 1980s and 1990s that documented decreases in benthic biomass and abundance. Spatial scale of sampling, selective predation, a strong recruitment event, and/or sampling design may account for the difference in trends among the studies.     

Resistance to cisplatin does not affect sensitivity of human ovarian cancer cell lines to mifepristone cytotoxicity

Background  

The prototypical antiprogestin mifepristone exhibits potent growth inhibition activity towards ovarian cancer cells in vitro and in vivo. The aim of this research was to establish whether mifepristone is capable of inhibiting cell proliferation and inducing apoptotic cell death regardless of the degree of sensitivity ovarian cancer cells exhibit to cisplatin.     

Cadherins and synaptic plasticity: activity-dependent cyclin-dependent kinase 5 regulation of synaptic beta-catenin-cadherin interactions

Cyclin-dependent kinase 5 (Cdk5)/p35 kinase activity is known to decrease the affinity of beta-catenin for cadherin in developing cortical neurons. Our recent work demonstrated that depolarization causes an increased affinity between beta-catenin and cadherin. Here, we examine whether Cdk5/p35 regulates beta-catenin-cadherin affinity in response to neural activity. In hippocampal neurons depolarization caused a significant decrease in Cdk5 kinase activity, without changing the protein levels of either Cdk5 or p35, suggesting that the proteasome pathway is not involved. Decreasing Cdk5 kinase activity with the inhibitor roscovitine increased the amount of beta-catenin that was co-immunoprecipitated with cadherin. Inhibiting Cdk5 activity also resulted in a redistribution of EGFP-beta-catenin from the dendritic shaft to the spines, where cadherins are highly concentrated. The redistribution of beta-catenin induced by roscovitine is similar to that induced by depolarization. Interestingly, the redistribution induced by the Cdk5 inhibitor was completely blocked by either a tyrosine phosphatase inhibitor, orthovanadate or by point mutations of beta-catenin Tyr-654 to Glu or Phe. Immunoprecipitation studies further revealed that roscovitine increases the affinity of the wild-type, but not mutated, EGFP-beta-catenin for cadherin. These results suggest that Cdk5 activity regulates the affinity of beta-catenin for cadherin by changing the phosphorylation level of beta-catenin Tyr-654.     

Transposition is modulated by a diverse set of host factors in Escherichia coli and is stimulated by nutritional stress

The role of host factors in regulating bacterial transposition has never been comprehensively addressed, despite the potential consequences of transposition. Here, we describe a screen for host factors that influence transposition of IS903, and the effect of these mutations on two additional transposons, Tn10 and Tn552. Over 20,000 independent insertion mutants were screened in two strains of Escherichia coli; from these we isolated over 100 mutants that altered IS903 transposition. These included mutations that increased or decreased the extent of transposition and also altered the timing of transposition during colony growth. The large number of gene products affecting transposition, and their diverse functions, indicate that the overall process of transposition is modulated at many different steps and by a range of processes. Previous work has suggested that transposition is triggered by cellular stress. We describe two independent mutations that are in a gene required for fermentative metabolism during anaerobic growth, and that cause transposition to occur earlier than normal during colony development. The ability to suppress this phenotype by the addition of fumarate therefore provides direct evidence that transposition occurs in response to nutritional stress. Other mutations that altered transposition disrupted genes normally associated with DNA metabolism, intermediary metabolism, transport, cellular redox, protein folding and proteolysis and together these define a network of host proteins that could potentially allow readout of the cell's environmental and nutritional status. In summary, this work identifies a collection of proteins that allow the host to modulate transposition in response to cell stress.     

Discovery of novel aspartyl ketone dipeptides as potent and selective caspase-3 inhibitors

The discovery of a series of potent, selective and reversible dipeptidyl caspase-3 inhibitors are reported. The iterative discovery process of using combinatorial chemistry, parallel synthesis, moleculare modelling and structural biology will be discussed.     

Chromosome 7 and 19 Trisomy in Cultured Human Neural Progenitor Cells

Background

Stem cell expansion and differentiation is the foundation of emerging cell therapy technologies. The potential applications of human neural progenitor cells (hNPCs) are wide ranging, but a normal cytogenetic profile is important to avoid the risk of tumor formation in clinical trials. FDA approved clinical trials are being planned and conducted for hNPC transplantation into the brain or spinal cord for various neurodegenerative disorders. Although human embryonic stem cells (hESCs) are known to show recurrent chromosomal abnormalities involving 12 and 17, no studies have revealed chromosomal abnormalities in cultured hNPCs. Therefore, we investigated frequently occurring chromosomal abnormalities in 21 independent fetal-derived hNPC lines and the possible mechanisms triggering such aberrations.

Methods and Findings

While most hNPC lines were karyotypically normal, G-band karyotyping and fluorescent in situ hybridization (FISH) analyses revealed the emergence of trisomy 7 (hNPC⁺⁷) and trisomy 19 (hNPC⁺¹⁹), in 24% and 5% of the lines, respectively. Once detected, subsequent passaging revealed emerging dominance of trisomy hNPCs. DNA microarray and immunoblotting analyses demonstrate epidermal growth factor receptor (EGFR) overexpression in hNPC⁺⁷ and hNPC⁺¹⁹ cells. We observed greater levels of telomerase (hTERT), increased proliferation (Ki67), survival (TUNEL), and neurogenesis (β_III-tubulin) in hNPC⁺⁷ and hNPC⁺¹⁹, using respective immunocytochemical markers. However, the trisomy lines underwent replicative senescence after 50–60 population doublings and never showed neoplastic changes. Although hNPC⁺⁷ and hNPC⁺¹⁹ survived better after xenotransplantation into the rat striatum, they did not form malignant tumors. Finally, EGF deprivation triggered a selection of trisomy 7 cells in a diploid hNPC line.

Conclusions

We report that hNPCs are susceptible to accumulation of chromosome 7 and 19 trisomy in long-term cell culture. These results suggest that micro-environmental cues are powerful factors in the selection of specific hNPC aneuploidies, with trisomy of chromosome 7 being the most common. Given that a number of stem cell based clinical trials are being conducted or planned in USA and a recent report in PLoS Medicine showing the dangers of grafting an inordinate number of cells, these data substantiate the need for careful cytogenetic evaluation of hNPCs (fetal or hESC-derived) before their use in clinical or basic science applications.     

The human–primate interface in the New Normal: Challenges and opportunities for primatologists in the COVID-19 era and beyond

The emergence of SARS-CoV-2 in late 2019 and human responses to the resulting COVID-19 pandemic in early 2020 have rapidly changed many aspects of human behavior, including our interactions with wildlife. In this commentary, we identify challenges and opportunities at human–primate interfaces in light of COVID-19, focusing on examples from Asia, and make recommendations for researchers working with wild primates to reduce zoonosis risk and leverage research opportunities. First, we briefly review the evidence for zoonotic origins of SARS-CoV-2 and discuss risks of zoonosis at the human–primate interface. We then identify challenges that the pandemic has caused for primates, including reduced nutrition, increased intraspecific competition, and increased poaching risk, as well as challenges facing primatologists, including lost research opportunities. Subsequently, we highlight opportunities arising from pandemic-related lockdowns and public health messaging, including opportunities to reduce the intensity of problematic human–primate interfaces, opportunities to reduce the risk of zoonosis between humans and primates, opportunities to reduce legal and illegal trade in primates, new opportunities for research on human–primate interfaces, and opportunities for community education. Finally, we recommend specific actions that primatologists should take to reduce contact and aggression between humans and primates, to reduce demand for primates as pets, to reduce risks of zoonosis in the context of field research, and to improve understanding of human–primate interfaces. Reducing the risk of zoonosis and promoting the well-being of humans and primates at our interfaces will require substantial changes from “business as usual.” We encourage primatologists to help lead the way.     

Evaluating sample allocation and effort in detecting population differentiation for discrete and continuously distributed individuals

One of the most pressing issues in spatial genetics concerns sampling. Traditionally, substructure and gene flow are estimated for individuals sampled within discrete populations. Because many species may be continuously distributed across a landscape without discrete boundaries, understanding sampling issues becomes paramount. Given large-scale, geographically broad conservation efforts, researchers are looking for guidance as to the trade-offs between sampling more individuals within a population versus few individuals scattered across more populations. Here, we conducted simulations that address these issues. We first established two archetypical patterns of dispersion: (1) individuals within discrete populations, and (2) continuously distributed individuals with limited dispersal. We used genotypes generated from a spatially-explicit, individual-based program and simulated genetic structure in individuals from nine different population sizes across a landscape that either had barriers to movement (defining discrete populations) or isolation-by-distance patterns (defining continuously distributed individuals). Then, given each pattern of dispersion, we allocated samples across four different sampling strategies for each of the nine population sizes in various configurations for sampling more individuals within a population versus fewer individuals scattered across more populations. We assessed the population genetic substructure with both the population-based metric, F _ST, and an individual-based metric, D _PS regardless of the true pattern of dispersion to allow us to better understand the effect of incorrectly matching the metric and the distribution (e.g., F _ST with continuously distributed individuals, and vice versa). We show that sampling many subpopulations (or sampling areas), thus sampling fewer individuals per subpopulation, overestimates measures of population subdivision with the population-based metric for both patterns of dispersion. In contrast, using the individual-based metric gives the opposite results: sampling too few subpopulations, and many individuals per subpopulation, produces an underestimate of the strength of isolation-by-distance. By comparing all results, we were able to suggest a strong predictive model of a chosen genetic structure metric for elucidating the sampling design trade-offs given each pattern of dispersion and configuration on the landscape.