Molecular biology of mammalian amino acid receptors

The amino acid receptor proteins are ubiquitous transducers of most excitatory and inhibitory synaptic transmission in the brain. In July 1987 two reports appeared describing the molecular cloning of a pair of subunits of the GABAA receptor (7) and one subunit of the glycine receptor (13). These papers sparked wide interest and led quickly to the concept of a ligand-gated receptor-ion channel superfamily that includes nicotinic acetylcholine receptors as well as certain amino acid receptors. The identification of additional subunits of each receptor followed; with the recent cloning of a kainate receptor subunit (14), only the NMDA receptor remains elusive. Several disciplines have been brought to bear on these receptor clones, including in situ hybridization and functional expression in Xenopus laevis oocytes and mammalian cell lines. In this review we compare cloning strategies that have been used for amino acid receptors and discuss structural similarities among the receptor subunits. Two findings that have arisen from molecular cloning and expression of these receptors receive special attention. First, the molecular heterogeneity of GABAA receptors is larger than expected from pharmacological studies of native receptors. Second, although the native receptors are thought to be heterooligomers, much like the model proposed for the nicotinic receptors, some individual amino acid receptor subunits can form functional receptor channels, presumably in a homomeric configuration. This review focuses, therefore, on what we have learned from cloning efforts about amino acid receptors and what might lie ahead in this field.     

Status,trends, and equilibrium abundance estimates of the translocated sea otter population in Washington State

Sea otters (Enhydra lutris kenyoni) historically occurred in Washington State, USA, until their local extinction in the early 1900s as a result of the maritime fur trade. Following their extirpation, 59 sea otters were translocated from Amchitka Island, Alaska, USA, to the coast of Washington, with 29 released at Point Grenville in 1969 and 30 released at La Push in 1970. The Washington Department of Fish and Wildlife has outlined 2 main objectives for sea otter recovery: a target population level and a target geographic distribution. Recovery criteria are based on estimates of population abundance, equilibrium abundance (K), and geographic distribution; therefore, estimates of these parameters have important management implications. We compiled available survey data for sea otters in Washington State since their translocation (1977–2019) and fit a Bayesian state-space model to estimate past and current abundance, and equilibrium abundance at multiple spatial scales. We then used forward projections of population dynamics to explore potential scenarios of range recolonization and as the basis of a sensitivity analysis to evaluate the relative influence of movement behavior, frontal wave speed, intrinsic growth, and equilibrium density on future population recovery potential. Our model improves upon previous analyses of sea otter population dynamics in Washington by partitioning and quantifying sources of estimation error to estimate population dynamics, by providing robust estimates of K, and by simulating long-term population growth and range expansion under a range of realistic parameter values. Our model resulted in predictions of population abundance that closely matched observed counts. At the range-wide scale, the population size in our model increased from an average of 21 independent sea otters (95% CI = 13–29) in 1977 to 2,336 independent sea otters (95% CI = 1,467–3,359) in 2019. The average estimated annual growth rate was 12.42% and varied at a sub-regional scale from 6.42–14.92%. The overall estimated mean K density of sea otters in Washington was 1.71 ± 0.90 (SD) independent sea otters/km² of habitat (1.96 ± 1.04 sea otters/km², including pups), and estimated densities within the current range correspond on average to 87% of mean sub-regional equilibrium values (range = 66–111%). The projected value of K for all of Washington was 5,287 independent sea otters (95% CI = 2,488–8,086) and 6,080 sea otters including pups (95% CI = 2,861–9,300), assuming a similar range of equilibrium densities in currently un-occupied habitats. Sensitivity analysis of simulations of sea otter population growth and range expansion suggested that mean K density estimates in currently occupied sub-regions had the largest impact on predicted future population growth (r² = 0.52), followed by the rate of southward range expansion (r² = 0.26) and the mean K density estimate of currently unoccupied sub-regions to the south of the current range (r² = 0.04). Our estimates of abundance and sensitivity analysis of simulations of future population abundance and geographic range help determine population status in relation to population recovery targets and identify the most influential parameters affecting future population growth and range expansion for sea otters in Washington State.     

Synergistic interaction of p185c-neu and the EGF receptor leads to transformation of rodent fibroblasts

The protein product of the rodent neu oncogene, p185neu, is a tyrosine kinase with structural similarity to the epidermal growth factor receptor (EGFR). Transfection and subsequent overexpression of the human p185c-erbB-2 protein transforms NIH 3T3 cells in vitro. However, NIH 3T3 cells are not transformed by overexpressed rodent p185c-neu. NIH 3T3 transfectants overexpressing EGF receptors are not transformed unless incompletely transformed. Several groups have recently demonstrated EGF-induced, EGFR-mediated phosphorylation of p185c-neu. During efforts to characterize the interaction of p185c-neu with EGFR further, we created cell lines that simultaneously overexpress both p185c-neu and EGFR and observed that these cells become transformed. These observations demonstrate that two distinct, overexpressed tyrosine kinases can act synergistically to transform NIH 3T3 cells, thus identifying a novel mechanism that can lead to transformation.     

Copy number variations (CNVs) in human pluripotent cell-derived neuroprogenitors

Results from the analysis of copy number variations (CNVs) in human pluripotent cell-derived neuroprogenitor cell lines (hiPSC and hESC-derived NPC) are presented. Two different types of CNVs were detected: a) CNVs inherited from the original source of pluripotent cells (hESC and hiPSC) and b) CNVs detected either in the original source of pluripotent cells or in the derived NPC cell lines but not in both at the same time. Our data suggest that submicroscopic chromosomal changes happened during culture and manipulation of cells and those differentiation procedures could result in gains and losses of genomic regions in pluripotent cell-derived neuroprogenitors. Overall, the results indicate that even chromosomally stable stem cell lines would need to be analyzed in detail by high resolution methodologies before their clinical use.     

Disentangling the importance of ecological niches from stochastic processes across scales

Deterministic theories in community ecology suggest that local, niche-based processes, such as environmental filtering, biotic interactions and interspecific trade-offs largely determine patterns of species diversity and composition. In contrast, more stochastic theories emphasize the importance of chance colonization, random extinction and ecological drift. The schisms between deterministic and stochastic perspectives, which date back to the earliest days of ecology, continue to fuel contemporary debates (e.g. niches versus neutrality). As illustrated by the pioneering studies of Robert H. MacArthur and co-workers, resolution to these debates requires consideration of how the importance of local processes changes across scales. Here, we develop a framework for disentangling the relative importance of deterministic and stochastic processes in generating site-to-site variation in species composition (β-diversity) along ecological gradients (disturbance, productivity and biotic interactions) and among biogeographic regions that differ in the size of the regional species pool. We illustrate how to discern the importance of deterministic processes using null-model approaches that explicitly account for local and regional factors that inherently create stochastic turnover. By embracing processes across scales, we can build a more synthetic framework for understanding how niches structure patterns of biodiversity in the face of stochastic processes that emerge from local and biogeographic factors.     

Circadian rhythms and memory: not so simple as cogs and gears

The influence of circadian rhythms on memory has long been studied; however, the molecular prerequisites for their interaction remain elusive. The hippocampus, which is a region of the brain important for long‐term memory formation and temporary maintenance, shows circadian rhythmicity in pathways central to the memory‐consolidation process. As neuronal plasticity is the translation of numerous inputs, illuminating the direct molecular links between circadian rhythms and memory consolidation remains a daunting task. However, the elucidation of how clock genes contribute to synaptic plasticity could provide such a link. Furthermore, the idea that memory training could actually function as a zeitgeber for hippocampal neurons is worth consideration, based on our knowledge of the entrainment of the circadian clock system. The integration of many inputs in the hippocampus affects memory consolidation at both the cellular and the systems level, leaving the molecular connections between circadian rhythmicity and memory relatively obscure but ripe for investigation.     

Inflammation and metabolic dysfunction: links to cardiovascular diseases

Abdominal obesity is a major risk factor for cardiovascular disease, and recent studies highlight a key role of adipose tissue dysfunction, inflammation, and aberrant adipokine release in this process. An increased demand for lipid storage results in both hyperplasia and hypertrophy, finally leading to chronic inflammation, hypoxia, and a phenotypic change of the cellular components of adipose tissue, collectively leading to a substantially altered secretory output of adipose tissue. In this review we have assessed the adipo-vascular axis, and an overview of adipokines associated with cardiovascular disease is provided. This resulted in a first list of more than 30 adipokines. A deeper analysis only considered adipokines that have been reported to impact on inflammation and NF-κB activation in the vasculature. Out of these, the most prominent link to cardiovascular disease was found for leptin, TNF-α, adipocyte fatty acid-binding protein, interleukins, and several novel adipokines such as lipocalin-2 and pigment epithelium-derived factor. Future work will need to address the potential role of these molecules as biomarkers and/or drug targets.     

Regulation of cortical dendrite development by Slit-Robo interactions.

Slit proteins have previously been shown to regulate axon guidance, branching, and neural migration. Here we report that, in addition to acting as a chemorepellant for cortical axons, Slit1 regulates dendritic development. Slit1 is expressed in the developing cortex, and exposure to Slit1 leads to increased dendritic growth and branching. Conversely, inhibition of Slit-Robo interactions by Robo-Fc fusion proteins or by a dominant-negative Robo attenuates dendritic branching. Stimulation of neurons transfected with a Met-Robo chimeric receptor with Hepatocyte growth factor leads to a robust induction of dendritic growth and branching, suggesting that Robo-mediated signaling is sufficient to induce dendritic remodeling. These experiments indicate that Slit-Robo interactions may exert a significant influence over the specification of cortical neuron morphology by regulating both axon guidance and dendritic patterning.