			Home About us Contact

Different Biological Processes (different + biological_process)

Distribution by Scientific Domains

Life Sciences	75%

Selected Abstracts

Integrated condition indices as a measure of whole effluent toxicity in zebrafish (Danio rerio)

ENVIRONMENTAL TOXICOLOGY & CHEMISTRY, Issue 1 2002
Roel Smolders
Abstract Toxic exposure of organisms interferes with organismal integrity at the biochemical level and ultimately gives rise to effects at the individual level. These effects may result in reductions in ecologically relevant characteristics such as growth, reproduction, and survival. A chronic toxicity test with zebrafish (Danio rerio) was conducted where fish were exposed to 50, 75, and 100% effluent for 28 d under flow-through conditions. Effects of effluent exposure were determined using endpoints of physiological (respiration during swimming), growth (condition, length, and weight), and reproductive (spawning and hatching) processes within the same population. Results clearly indicate that the condition and growth of zebrafish is depressed by exposure to the effluent. Also, increased oxygen consumption was found after 14, 21, and 28 d of exposure. Reproduction proved to correlate well with the condition of the motherfish in the control, and spawning and hatching were significantly depressed by effluent exposure. These results indicate that the evaluation of endpoints describing different ecologically relevant processes provides a rational assessment of the cause,effect relationships of effluent toxicity. This approach can quantify effects on different biological processes and can determine the interactions that occur between these different processes. [source]

MicroReview: Impact of the bacterial type I cytochrome c maturation system on different biological processes

MOLECULAR MICROBIOLOGY, Issue 6 2005
Nicholas P. Cianciotto
Summary In the ,-, ,- and ,- Proteobacteria, the so-called cytochrome c maturation (Ccm) system is known to promote the covalent attachment of the haem to periplasmic apocytochrome c. However, in species of Pseudomonas, Rhizobium, Paracoccus and Legionella, mutations in ccm genes result in phenotypes that cannot be readily explained by the simple loss of a c -type cytochrome. These phenotypes include loss of siderophore production and utilization, reduced abilities to grow in low-iron conditions and in mammalian and protozoan host cells, and alterations in copper sensitivity and manganese oxidation. These various data suggest that Ccm proteins may perform one or more functions in addition to Ccm, which are critical for bacterial physiology and growth. Novel hypotheses that should be explored include the utilization of Ccm-associated haem for processes besides attachment to apocytochrome c, the export of a non-haem compound through the Ccm system, and the negative effects of protoporphyrin IX accumulation. [source]

Comparing performances of logistic regression and neural networks for predicting melatonin excretion patterns in the rat exposed to ELF magnetic fields

BIOELECTROMAGNETICS, Issue 2 2010
Samad Jahandideh
Abstract Various studies have been reported on the bioeffects of magnetic field exposure; however, no consensus or guideline is available for experimental designs relating to exposure conditions as yet. In this study, logistic regression (LR) and artificial neural networks (ANNs) were used in order to analyze and predict the melatonin excretion patterns in the rat exposed to extremely low frequency magnetic fields (ELF-MF). Subsequently, on a database containing 33 experiments, performances of LR and ANNs were compared through resubstitution and jackknife tests. Predictor variables were more effective parameters and included frequency, polarization, exposure duration, and strength of magnetic fields. Also, five performance measures including accuracy, sensitivity, specificity, Matthew's Correlation Coefficient (MCC) and normalized percentage, better than random (S) were used to evaluate the performance of models. The LR as a conventional model obtained poor prediction performance. Nonetheless, LR distinguished the duration of magnetic fields as a statistically significant parameter. Also, horizontal polarization of magnetic fields with the highest logit coefficient (or parameter estimate) with negative sign was found to be the strongest indicator for experimental designs relating to exposure conditions. This means that each experiment with horizontal polarization of magnetic fields has a higher probability to result in "not changed melatonin level" pattern. On the other hand, ANNs, a more powerful model which has not been introduced in predicting melatonin excretion patterns in the rat exposed to ELF-MF, showed high performance measure values and higher reliability, especially obtaining 0.55 value of MCC through jackknife tests. Obtained results showed that such predictor models are promising and may play a useful role in defining guidelines for experimental designs relating to exposure conditions. In conclusion, analysis of the bioelectromagnetic data could result in finding a relationship between electromagnetic fields and different biological processes. Bioelectromagnetics 31:164,171, 2010. © 2009 Wiley-Liss, Inc. [source]

Development of a Method for the High-Throughput Quantification of Cellular Proteins

CHEMBIOCHEM, Issue 10 2009
Paolo Paganetti Dr.
Abstract Hunting for huntingtin: We describe a screening assay based on the inducible expression of the mutant huntingtin protein in cells and on its highly sensitive homogenous determination. Rapid, reproducible, and robust protein determination was achieved through the use of two donor,acceptor-labeled antibodies and time-resolved FRET. The assay was developed and validated for ultra-throughput screening of low-molecular-weight compounds modulating the expression of the mutant protein. The quantification of cellular proteins is essential for the study of many different biological processes. This study describes an assay for the detection of the intracellular mutant huntingtin, the causative agent of Huntington's disease, with a method that may be generally applicable to other cellular proteins. A small recombinant protein tag that is recognized by a pair of readily available, high-affinity monoclonal antibodies was designed. This tag was then added to an inducible fragment of the mutant huntingtin protein by genetic engineering. We show that it is possible to use time-resolved FRET to detect low intracellular levels of huntingtin by a simple lysis and detection procedure. This assay was then adapted into a homogeneous, miniaturized format suitable for screening in 1536-well plates. The use of time-resolved FRET also permits the assay to be multiplexed with a standard readout of cell toxicity, thus allowing the identification of conditions causing reduction of protein levels simply due to cytotoxicity. The screening results demonstrated that the assay is able to identify compounds that modulate the levels of huntingtin both positively and negatively and that represent valuable starting points for drug discovery programs. [source]