Nephroblastoma overexpressed (Nov) inhibits osteoblastogenesis and causes osteopenia

Nephroblastoma overexpressed (Nov), a member of the Cyr 61, connective tissue growth factor, Nov (CCN) family of proteins, is expressed by osteoblasts, but its function in cells of the osteoblastic lineage is not known. We investigated the effects of Nov overexpression by transducing murine ST-2 stromal and MC3T3 osteoblastic cells with a retroviral vector where Nov is under the control of the cytomegalovirus promoter. We also examined the skeletal phenotype of transgenic mice expressing Nov under the control of the human osteocalcin promoter. Overexpression of Nov in ST-2 cells inhibited the appearance of mineralized nodules and decreased alkaline phosphatase activity and osteocalcin mRNA levels. Nov overexpression inhibited the effect of bone morphogenetic protein (BMP)-2 on the phosphorylation of Smad 1/5/8; on the transactivation of 12xSBE-Oc-pGL3, a BMP/Smad signaling reporter construct, and of Wnt 3 on cytoplasmic beta-catenin levels; and on the transactivation of the Wnt/beta-catenin signaling reporter construct 16xTCF-Luc. Nov overexpression did not activate Notch or transforming growth factor beta signaling. Glutathione S-transferase pulldown assays demonstrated direct Nov-BMP interactions. Nov transgenic mice exhibited osteopenia. In conclusion, Nov binds BMP-2 and antagonizes BMP-2 and Wnt activity, and its overexpression inhibits osteoblastogenesis and causes osteopenia.     

A simple and sensitive assay for determining plasma tipranavir concentration in the clinical setting by new HPLC method

A simple method for the quantification of tipranavir, the first non-peptidic HIV protease inhibitor, was developed and validated. Quinoxaline, as internal standard, was added to 50 microl of plasma before a liquid-liquid extraction by 600 microl of protein precipitation solution. The extracts were diluted before being injected in the chromatographic system. Chromatographic separation was made on a C18 column using potassium phosphate buffer (pH 3.2) and acetonitrile with gradient. Detection was performed by an UV detector at 260 nm. Relative error at three control quality concentrations ranged from -1.81 to 1.72%. Intra-day (CV%) and inter-day (CV%) precision ranged from 0.94 to 2.55% and from 3.07 to 4.24%, respectively. LOQ and LOD were 0.090 microg/ml and 0.035 microg/ml, respectively. Mean recovery was 87.1%+/-2.4%. Calibration curve was linear up to 180 microg/ml. Concentration range when optimized (0.703-180 microg/ml) proved to be adequate to measure tipranavir concentration in HIV-1-positive patients, therefore this method could be suitable for therapeutic drug monitoring of this drug.     

Proteome analysis of whole saliva: a new tool for rheumatic diseases--the example of Sjögren's syndrome

Sj?gren's syndrome (pSS) is a systemic disease that affects salivary glands directly, and is therefore expected to influence the composition of human whole saliva (WS) fluid. The aim of this study was to characterize the WS proteins of pSS patients using a proteomic approach to assess a valid procedure to examine the global changes of the salivary protein profiles in connective tissue disorders. The WS proteins expressed in patients affected by pSS and healthy volunteers were analyzed using the 2-DE technique. The WS protein pattern was altered in pSS patients compared to controls, with a decrease in some of the typical salivary proteins. Particularly, a remarkable alteration of carbonic anhydrase VI was observed. Moreover, a comparison of WS protein profile of pSS patients with the one obtained from controls revealed a set of differentially expressed proteins. These proteins were related to acute and chronic inflammation while some others were involved in oxidative stress injury. These findings are in line with the systemic immuno-inflammatory aspects of pSS and open the possibility for a systematic search of diagnostic biomarkers and targets for therapeutic intervention in pSS.     

Plant Neurobiology as a Paradigm Shift Not Only in the Plant Sciences

Plants are complex living beings, extremely sensitive to environmental factors, continuously adapting to the ever changing environment. Emerging research document that plants sense, memorize, and process experiences and use this information for their adaptive behavior and evolution. As any other living and evolving systems, plants act as knowledge accumulating systems. Neuronal informational systems are behind this concept of organisms as knowledge accumulating systems because they allow the most rapid and efficient adaptive responses to changes in environment. Therefore, it should not be surprising that neuronal computation is not limited to animal brains but is used also by bacteria and plants. The journal, Plant Signaling & Behavior, was launched as a platform for exchanging information and fostering research on plant neurobiology in order to allow our understanding of plants in their whole integrated, communicative, and behavioral complexity.

I always go by official statistics because they are very carefully compounded and, even if they are false, we have no others …∼ Jaroslav Hašek, 1911

Key Words: plant neurobiology, sensory biology, behavior, biological complexity, evolution, signal integrationThis quotation of writer and mystificator Jaroslav Hašek is from his electorial speech aimed to get a seat in the Austro-Hungarian parliament for his imaginary political party ‘Moderate Progress within the Limits of the Law’ in 1911. It indicates how statistics can be misused for manipulation of public opinion, sometimes allegedly for general good. This quotation is partially relevant also for recent biology which is passing through a critical cross-road from reductionist-mechanistic concepts and methodologies towards the post-genomic, holistic, systems-based analysis of integrated and communicative hierarchic networks known as life processes.There is a message hidden in this Hašek''s aphorism. All those mathematical models, scientific theories and concepts, however appealing, harmonious and long-standing … but which do not correspond to reality …; inevitably will be ‘killed by ugly’ facts generated by scientific progress, and finally replaced by new models, theories, and concepts.¹Despite the indisputable success of the reductionistic approach in providing many discoveries regarding single cells and their components, it is increasingly clear that promises of ‘mechanistic’ genocentric biology were just chimeras and that living organisms are much more complex than the sum of their constituents. Ernst Mayr, in his final opus, almost a testament published at his age of 100, strongly opposed the belief that the reductionism at the molecular level could help to explain the complexity of life. He stressed that the concept of biological “emergence”, which deals with the occurrence of unexpected features in complex living systems, is not fully accessible using only physical and chemical approaches.²Themes of hierarchy, continuity, and order dominated biology before the turn of the century, but these have in many cases been replaced by images of the workshop. Examples include such terms as ‘machineries’, ‘mechanistic understanding’, ‘mechanistic explanation’, ‘motors’, ‘machines’, ‘clocks’ etc. This shift may well reflect the characteristic style of our age. These concepts, although useful for mining of details, do not reveal the true complexity of life and can be misleading. Even a one-celled organism is made up of ‘millions’ of subcellular parts. Concerning the great complexity of unicellular creatures Ilya Prigogine (1973) wrote: “… but let us have no illusions, our research would still leave us quite unable to grasp the extreme complexity of the simplest of organism.”³ Moreover, eukaryotic cell proved to be, in fact, ‘cells within cell’,^4–8 while there are numerous supracellular situations, the most dramatic one is represented by plants when all cells are interconnected via plasmodesmata into supracellular organism.⁶ All this collectively indicate that the currently valid ‘Cell Theory’ dogma is approaching its replacement with a new updated concept of a basic unit of eukaryotic life.^6–8All those mathematical models, scientific theories and concepts, however appealing, harmonious and long-standing … but which do not correspond to reality …; inevitably will be ‘killed by ugly’ facts generated by scientific progress, and finally replaced by new models, theories, and concepts.Furthermore, genomes are much more complex and dynamic as we ever anticipated.^9,10 They often have as much as 99% of non-coding DNA sequences,¹¹ which is not ‘junk DNA’ but rather DNA which is part of multitask networks integrating coding DNA.¹² In genomes exposed to stress (like mutations), changes are scored preferentially in non-coding sequences which regain a new balance by complex changes in genome composition and activity.^9,10,13,14 There are several definitions regarding what is gene¹¹ and molecular biologists and genetics are learning to be careful not to make strong conclusions from under-expression, knocking-out, or overexpression of any particular gene. It is increasingly clear that mutations in single genes are accompanied with altered expressions of other genes and non-coding DNA sequences too, and even subtle re-arrangements of chromatin structure and genome architecture are possible. The dynamic genome actively regains the lost balance, also via extensive re-shufflings of non-coding DNA.After complete sequencing of numerous genomes, it is clear that our understanding of what constitutes life and what distinguishes living biological systems from non-living chemical - biochemical systems is not much better than our understanding before the start of the genomics era some 60 years ago. Yet, it is also obvious that living systems, whether single cells or whole complex organisms like animals and plants, are not machines and automata which respond to external signals via a limited set of predefined responses and automatic reflexes. While humans and other animals, even insects, are already out of this ‘mechanistic’ trap^15,16 which can be traced back to Descartes,¹⁷ plants are still considered to act only in predetermined automatic fashions, as mechanical devices devoid of any possibility for choice and planning of their activities. In contrast to machines, life systems are based on wet chemistry, being systems of hierarchical and dynamic integration, communication and emergence.^1,18Recently, a critical mass of data has accumulated demanding reconsideration of this mechanistic view of plants.^19,20 Plants are complex living beings, extremely sensitive to environmental factors and continuously adapting to the ever changing environment.²¹ In addition, plants respond to environmental stimuli as integrated organisms. Often, plants make important decisions, such as onset or breakage of dormancy and onset of flowering, which implicate some central or decentralized command center. Moreover, roots and shoots act in an integrated manner allowing dynamic balance of above-ground and below-ground organs. The journal, Plant Signaling & Behavior, was launched as a platform for exchange of information about the integration of discrete processes, including subcellular signalling integrated with higher-level processes. Signal integration and communication results in adaptive behavior of whole supracellular organisms, encompassing also complex, and still elusive, plant-plant, plant-insect, and plant-animal communications. Coordinated behavior based on sensory perception is inherent for neurobiological systems.²² Therefore, plants can be considered for neuronal individuals. Moreover, plants are also able to share knowledge perceived from environment with other plants, communicating both private and public messages.^23,24 This implicates social learning and behavioral inheritance in plants too.After complete sequencing of numerous genomes, it is clear that our understanding of what constitutes life and what distinguishes living biological systems from non-living chemical - biochemical systems is not much better than our understanding before the start of genomics era some 60 years ago.

Behavior

1. An activity of a defined organism: observable activity when measurable in terms of quantitative effects of the environment whether arising from internal or external stimuli.
2. Anything that an organism does that involves action and response to stimulation.

(Webster Third New International Dictionary 1961).Neuronal informational systems allow the most rapid and efficient adaptive responses. Therefore, it should not be surprising that neuronal computation is not limited to animal brains but is used also by bacteria and plants.Some of our colleagues assert that plants do not exhibit any integrated neuronal principles.²⁵ They maintain that plants do not show complex experience- or learning-based behavior. Plants, they aver, act rather as machines manifesting predefined reflexes. Yet recent studies indicate that even prokaryotic bacteria exhibit cognitive behavior^26,27 and posses linguistic communication and rudimentary intelligence.^28–30 Therefore, it should not be too surprising that plants also show features of communication and even plant-specific cognition.^{19,20,31,32–35} As any other living systems, plants act as ‘knowledge accumulating systems’.¹ In fact, in order to adapt, all organisms continuously generate hypotheses about their environment via well formulated ‘questions’ which are solved by an increasing set of possible ‘answers’ in order to adapt.¹ Neuronal informational systems are behind this concept of organisms as ‘knowledge accumulating systems’ because they allow the most rapid and efficient adaptive responses.²² As a consequence, neuronal computation is not limited to animal brains but is used also by bacteria and plants.Reductionistic approaches will continue to “atomize” biological systems. Nevertheless, the avalanche of new data will be in need of functional integration, winning adherents to the idea that plants have integrated signaling and communicative systems that endowed them with complex and adaptive behavior. We trust that Plant Signaling & Behavior, will become an important platform for exchange of these ideas. With progress of sciences, plants show more and more similarities to animals despite obviously plant-specific evolutionary origins, cellular basis, and multicellularity. We can just mention sexuality and sex organs, embryos, stem cells, immunity, circadian rhythms, hormonal and peptide signaling, sensory perception and bioelectricity including action potentials, communication and neurobiological aspects of signal integration. The whole picture strongly suggest that convergent evolution is much more important^36,37 than currently envisioned in evolutionary theories.Reductionistic approaches will continue to “atomize” biological systems. Nevertheless, the avalanche of new data will be in need of functional integration, winning adherents to the idea that plants have integrated signaling and communicative systems that endowed them with complex and adaptive behavior.We have started with Jaroslav Hašek and we close with him as well. His quotation from 1911 is also a warning for future that we should stay open-minded. We should not slip into dogmatic ‘traps’ which have been so characteristic for the mechanistic and genocentric biology. Mathematics and computational biology are important tools, and surely will play decisive role in systems biology in the future. But they can be easily misinterpreted, and even misused. Plant systems biology, and the whole biology in general, must overcome dogmas of mechanistic genocentric biology. We hope that characterizing plants in their whole behavioral and communicative complexity will allow us to better understand what is life and how it emerged from chemical and biochemical complex systems.     

Single and combined effects of two trace elements (Cd and Cu) on the asexual reproduction of Aurelia sp. polyps

Aquatic Ecology - Jellyfish blooms are an increasingly common event in our seas. Occurring via polyps’ asexual reproduction induced by human stresses, they represent a hazard for ecosystems...     

Romina: A powerful strawberry with in vitro efficacy against uterine leiomyoma cells

Uterine leiom yomas are benign tumors highly prevalent in reproductive women. In thecurrent study, initially, we aimed to screen five different strawberry cultivars (Alba, Clery, Portola, Tecla, and Romina) to identify efficient cultivars in terms of phytochemical characterization and biological properties by measuring phenolic and anthocyanin content as well as antioxidant capacity, and by measuring apoptotic rate and reactive oxygen species (ROS) production in uterine leiomyoma cells. Next, we focused on the most efficient ones, cultivar Alba (A) and Romina (R) as well as Romina anthocyanin (RA) fraction for their ability to regulate oxidative phosphorylation (oxygen consumption rate [OCR]) glycolysis (extracellular acidification rate [ECAR]), and also fibrosis. Leiomyoma and myometrial cells were treated with a methanolic extract of A and R (250 μg/ml) or with RA (50 μg/ml) for 48 hr to measure OCR and ECAR, as well as gene expression associated with fibrosis. In the leiomyoma cells, RA was more effective in inducing apoptosis and increasing intracellular ROS levels, followed by R and A. In myometrial cells, all strawberry treatments increased the cellular viability and decreased ROS concentrations. Leiomyoma cells showed also a significant decrease in ECAR, especially after RA treatment, while OCR was slightly increased in both myometrial and leiomyoma cells. R and RA treatment significantly decreased collagen 1A1, fibronectin, versican, and activin A messenger RNA expression in leiomyoma cells. In conclusion, this study suggests that Romina, or its anthocyanin fraction, can be developed as a therapeutic and/or preventive agent for uterine leiomyomas, confirming the healthy effects exerted by these fruits and their bioactive compounds.     

Common and specific responses to iron and phosphorus deficiencies in roots of apple tree (Malus × domestica)

Plant Molecular Biology - Iron and phosphorus are abundant elements in soils but poorly available for plant nutrition. The availability of these two nutrients represents a major constraint for...     

Finding answers in the dark: caves as models in ecology fifty years after Poulson and White

The use of semi‐isolated habitats such as oceanic islands, lakes and mountain summits as model systems has played a crucial role in the development of evolutionary and ecological theory. Soon after the discovery of life in caves, different pioneering authors similarly recognized the great potential of these peculiar habitats as biological model systems. In their 1969 paper in Science, ‘The cave environment’, Poulson and White discussed how caves can be used as natural laboratories in which to study the underlying principles governing the dynamics of more complex environments. Together with other seminal syntheses published at the time, this work contributed to establishing the conceptual foundation for expanding the scope and relevance of cave‐based studies. Fifty years after, the aim of this review is to show why and how caves and other subterranean habitats can be used as eco‐evolutionary laboratories. Recent advances and directions in different areas are provided, encompassing community ecology, trophic‐webs and ecological networks, conservation biology, macroecology and climate change biology. Special emphasis is given to discuss how caves are only part of the extended network of fissures and cracks that permeate most substrates and, thus, their ecological role as habitat islands is critically discussed. Numerous studies have quantified the relative contribution of abiotic, biotic and historical factors in driving species distributions and community turnovers in space and time, from local to regional scales. Conversely, knowledge of macroecological patterns of subterranean organisms at a global scale remains largely elusive, due to major geographical and taxonomical biases. Also, knowledge regarding subterranean trophic webs and the effect of anthropogenic climate change on deep subterranean ecosystems is still limited. In these research fields, the extensive use of novel molecular and statistical tools may hold promise for quickly producing relevant information not accessible hitherto.