The hidden code in genomics: a tool for gene discovery.

Among new insights coming from the completion of sequencing of the human genome, reported in Nature and Science, are clues of how evolution has increased the complexity of species, and in particular how the genetic code has enabled this process. It is clear that life has not only evolved by increasing the number of genes, but also by ingeniously evolving an efficient code for expressing diversity in the building blocks (i.e. the amino acids). The rules of nucleic acid base pairing and the classification of amino acids according to hydrophobicity/hydrophilicity relationships define a binary DNA code, which determines the general biophysical characteristics of proteins. Sense and antisense strands can encode protein segments having inverted and complementary hydropathy. The underlying binary code controls association and dissociation of proteins and presumably represents a primordial code that might have emerged in the early stages of self-organizing biochemical cycles. It is the purpose of this communication to provide a perspective of the code in the context of a binary language from its primordial origin to its present day format and to propose to use this code as a genomic mining tool.     

Genome wide survey of G protein-coupled receptors in <Emphasis Type="Italic">Tetraodon nigroviridis</Emphasis>

Background  

The G-protein-coupled receptors (GPCRs) constitute one of the largest and most ancient superfamilies of membrane proteins. They play a central role in physiological processes affecting almost all aspects of the life cycle of an organism. Availability of the complete sets of putative members of a family from diverse species provides the basis for cross genome comparative studies.     

Tracing the sources of cellular variation

As the adage says, variety is the spice of life, and despite our best attempts, cells, even those with the same genome, never seem to behave the same. By combining mathematical and experimental analyses, Colman-Lerner and colleagues propose, in a recent issue of Nature, a method to delicately unravel the sources of this variation. Applying their technique to the pheromone response in budding yeast, they show that much of the observed variation originates from cell cycle effects and is dependent on levels of pathway input.     

Characterisation of uterine sarcoma cell lines exhibiting MDR phenotype by vibrational spectroscopy

Multidrug resistance (MDR) enables cancer cells to escape cytotoxic insults of anticancer drugs. Rapid identification of cells exhibiting the MDR phenotype is very important since it can lead to an effective and individual patient based treatment plan. We have investigated a combined vibrational spectroscopic approach, using both micro-Raman and FTIR techniques, in order to characterise a sensitive human uterine sarcoma cell line MES-SA and its multidrug-resistant derivative Garf. In this study, these two complementary methods have been evaluated via the use of principal components analysis (PCA), for discrimination of cells exhibiting the MDR phenotype. Our results indicate that, though they inherently have different sensitivities, both Raman and IR methods can provide a good differentiation of cell phenotypes.     

High-density polymerase-mediated incorporation of fluorochrome-labeled nucleotides

DNA-polymerase-mediated incorporation of different fluorochrome-labeled nucleotides (FdNTPs) was investigated with the goals of optimizing the high-density labeling of probes and exploring DNA sequencing strategies that rely on the controlled, sequential addition of such compounds. By systematically evaluating variables--including polymerase type, buffer conditions, and fluorochrome chemistries--a rational strategy for the sequential addition of labeled nucleotides to a DNA template was demonstrated. A simple structural model of the polymerase-DNA template complex that considered the fluorochrome moiety of the FdNTPs and the linker length also guided this strategy. Complementary results that portend the use of simple photobleaching to enable the reliable quantitation of consecutive additions are presented.     

Impaired post-thymic development of regulatory CD4+25+ T cells contributes to diabetes pathogenesis in BB rats

One of the BB rat diabetes (diabetes mellitus (DM)) susceptibility genes is an Ian5 mutation resulting in premature apoptosis of naive T cells. Impaired differentiation of regulatory T cells has been suggested as one possible mechanism through which this mutation contributes to antipancreatic autoimmunity. Using Ian5 congenic inbred rats (wild-type (non-lyp BB) and mutated (BB)), we assessed the development of BB regulatory CD8(-)4(+)25(+)T cells and their role in the pathogenesis of DM. BB rats have normal numbers of functional CD8(-)4(+)25(+)Foxp3(+) thymocytes. The proportion of CD25(+) cells among CD8(-)4(+) recent thymic emigrants is also normal while it is increased among more mature CD8(-)4(+) T cells. However, BB CD8(-)4(+)25(+)Foxp3(+) thymocytes fail to undergo homeostatic expansion and survive upon transfer to nude BB rats while Foxp3 expression is reduced in mature CD8(-)4(+)25(+) T cells suggesting that these cells are mostly activated cells. Consistent with this interpretation, peripheral BB CD8(-)4(+)25(+) T cells do not suppress anti-TCR-mediated activation of non-lyp BB CD8(-)4(+)25(-) T cells but rather stimulate it. Furthermore, adoptive transfer of unfractionated T cells from diabetic BB donors induces DM in 71% of the recipients while no DM occurred when donor T cells are depleted of CD8(-)4(+)25(+) cells. Adoptive transfer of 10(6) regulatory non-lyp BB CD8(-)4(+)25(+) T cells to young BB rats protects the recipients from DM. Taken together, these results demonstrate that the BB rat Ian5 mutation alters the survival and function of regulatory CD8(-)4(+)25(+) T cells at the post-thymic level, resulting in clonal expansion of diabetogenic T cells among peripheral CD8(-)4(+)25(+) cells.     

Effect of high temperature and water stress on in vitro germination and growth in isolates of the entomopathogenic fungus Beauveria bassiana (Bals.) Vuillemin

In non-irrigated agricultural fields in tropical zones, high temperature and water stress prevail during the main cropping season. Natural epizootics of Beauveria bassiana on lepidopteran pests occur during winter. Application of B. bassiana during hot months when pest populations are at their climax may prove an effective management strategy. Therefore, 29 isolates of B. bassiana were tested for their ability to germinate and grow in temperature and water availability conditions prevailing during the pest season in these fields. The effect of temperature cycles with 8 h duration of high temperature fluctuating with 16 h duration of lower temperature (similar to field conditions); low water availability; and a combination of these two stress conditions was studied. Germination and growth assays were done at fluctuating temperature cycles of 32, 35, 38, and 42+/-1 degrees C (8 h)/25+/-1 degrees C (16 h) and in media with water stress created by 10, 20, 30, and 40% polyethylene glycol (PEG 6000). Assays set at a continuous temperature of 25+/-1 degrees C with no PEG in the medium served as controls. Stress was assessed as percentage germination or as growth relative to control. Isolates showing 90% growth relative to the control at temperature cycles including high temperatures of 35 and 38+/-1 degrees C were identified. One isolate (ARSEF 2860) had a thermal threshold above 43 degrees C. At 25 degrees C, all but one isolate of B. bassiana showed >90% growth relative to the control in 10% PEG (-0.45 MPa). Some isolates were found with >90% growth relative to control in medium having 30% PEG with water availability (1.33 MPa), nearly equivalent to that in soils which induce permanent wilting point of plants. When isolates that showed >90% growth relative to the control at both stress conditions, were stressed simultaneously, a decrease in growth was observed. Growth was reduced by approximately 20% at 35+/-1 degrees C (8 h)/25+/-1 degrees C (16 h) and 10% PEG and was affected to a greater degree in combinations of harsher stress conditions. The isolate ARSEF 2860 with a thermal threshold of >43 degrees C showed approximately 80% relative growth at a combined stress of 38+/-1 degrees C (8 h)/25+/-1 degrees C (16 h) and 10% PEG. These findings will aid the selection of isolates for use in field trials in hot or dry agricultural climates.     

Healing across Cultures: Learning from Traditions

The health and wellness of an individual are reliant on the integrated effects of mind, body, and spirit. This triad is intricately set within a backdrop of the environment, our earth. Western cultures often disregard this holism, especially this fourth component, in its considerations of wellness as described by modern medicine. This practice is unlike that of many of the traditional cultures in the world. These cultures focus more on balance in the context of environmental respect. Varied cultures share remarkable similarities in their healing modalities, especially considering the relative isolation from one to another—evidence that there is truth to the healing knowledge they possess. We are not disconnected from the natural world in terms of health, but dependent and interconnected within ourselves and to everything around us. Social change is required to assure that the practice of modern medicine evolves to incorporate this integral aspect of health and wellness, and this can be done through partnerships with traditional healers.There is a growing demand for wellness and earthly responsibility. It is time to appropriately learn from age-old societies and their healing traditions for they do have answers we are seeking in sustainability and harmony, environmental stewardship and planetary respect, and holistic health. For thousands of years, our ancestors have known the secrets of long life—this knowledge needs to be preserved through the apprenticeship of future generations. We propose a collaboration that develops mutually beneficial learning partnerships combining modern medical knowledge with the wisdom of traditional healers around the world.     

A novel functional module detection algorithm for protein-protein interaction networks

Background  

The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically evaluate a novel clustering technique for clustering and detecting functional modules in protein-protein interaction networks, termed STM.