Phosphatidylserine-dependent neuroprotective signaling promoted by docosahexaenoic acid.

Enrichment of polyunsaturated fatty acids, particularly docosahexaenoic acid (DHA, 22:6n-3), in the brain is known to be critical for optimal brain development and function. Mechanisms for DHA's beneficial effects in the nervous system are not clearly understood at present. DHA is incorporated into the phospholipids in neuronal membranes, which in turn can influence not only the membrane chemical and physical properties but also the cell signaling involved in neuronal survival, proliferation and differentiation. Our studies have indicated that DHA supplementation promotes phosphatidylserine (PS) accumulation and inhibits neuronal cell death under challenged conditions, supporting a notion that DHA is an important neuroprotective agent. This article summarizes our findings on the DHA-mediated membrane-related signaling mechanisms that might explain some of the beneficial effects of DHA, particularly on neuronal survival.

Cardiomyopathy associated with clozapine.

Clozapine is an atypical antipsychotic agent that is more effective than the standard neuroleptics currently used for treating refractory schizophrenia. In addition, clozapine is a drug with few extrapyramidal side effects. However, clozapine is also associated with potentially serious adverse effects, such as cardiac complications as well as agranulocytosis. Clozapine-related cardiomyopathy has not been previously reported in East Asia. This report describes a 31-year-old Korean male patient with schizophrenia who developed dilated cardiomyopathy on treatment with clozapine. The removal of clozapine caused subsequent physical improvement. However, the readministration of clozapine for managing relapse of psychosis caused a recurrence of dilated cardiomyopathy in this patient. Therefore, this is the 1st report showing that the 2nd trial of clozapine caused recurrence of cardiomyopathy associated with clozapine. Thus, this report adds important support for a causal relation between clozapine and cardiac complications. In conclusion, this report attempts to raise awareness of clozapine-related cardiomyopathy.

Gene expression analysis of peroxisome proliferators- and phenytoin-induced hepatotoxicity using cDNA microarray.

The recent DNA microarray technology enables us to understand a large number of gene expression profiling. The technology has potential possibility to comprehend mechanism of multiple genes were related to compounds which have toxicity in biological system. So, the toxicogenomics through this technology may be very powerful for understanding the effect of unknown toxic mechanisms in biological system. We have studied that the effect of compounds related to hepatotoxin in vivo system using DNA microarray and classified chemicals which have been well characterized. We have studied three compounds; 2 peroxisome proliferators: Clofibrate (ethyl-p-chlorophenoxyisobutyrate), gemfibrozil (5-2[2,5-dimethyl-phenoxy]2-2-dimethyl-pentanonic), and an antiepileptic drug: phenytoin (5,5-diphenylhydantoin). Male Sprague-Dawely VAF(+) albino rats of 5-6 weeks old were treated with each compound for 24 hr and 2 weeks. 4.8 K cDNA microarray in house has been used for gene expression profiling. We found that the clustering of gene expression had similarity like as the toxic phenotype of compounds.

cDNA microarray gene expression analysis and toxicological phenotype for anticancer drug.

Toxicogenomics, the subdiscipline that merges genomics with toxicology, hold the promise to contributing toward the goal of elucidating mechanism by studying genomic profiling related with various drugs. The application of gene expression profiling technology to examine multiple genes and signaling pathways promises a significant advance in understanding the toxic mechanisms of various drugs and prediction of new drug candidate. Toxicogenomics is emerging field combining genomics and bioinformatics to identify and characterize mechanisms of toxicity of drug and various compounds. The principal hypothesis underlying on this field is that chemical-specific pattern of altered gene expression is related with each chemicals properties, especially toxicological property, and it will be revealed using high-density microarray analysis of sample from exposed organisms. So, in this study we compare the gene expression pattern of two anticancer drugs paclitaxel and orally absorbable paclitaxel, using the cDNA microarray. And from the result of this study, it is possible to provide the new possibility for genome-wide insight into mechanism of their anticancer activity and toxicological phenotype.

Tools for target identification and validation.

Reliable technologies for addressing target identification and validation are the foundation of successful drug development. Microarrays have been well utilized in genomics/proteomics approaches for gene/protein expression profiling and tissue/cell-scale target validation. Besides being used as an essential step in analyzing high-throughput experiments such as those involving microarrays, bioinformatics can also contribute to the processes of target identification and validation by providing functional information about target candidates and positioning information to biological networks. Antisense technologies (including RNA interference technology, which is recently very 'hot') enable sequence-based gene knockdown at the RNA level. Zinc finger proteins are a DNA transcription-targeting version of knockdown. Chemical genomics and proteomics are emerging tools for generating phenotype changes, thus leading to target and hit identifications. NMR-based screening, as well as activity-based protein profiling, are trying to meet the requirement of high-throughput target identification.

A genotype-specific pollen gene associated with self-incompatibility in Lycopersicon peruvianum.

Self-incompatibility is a genetically controlled process used to prevent self-pollination. We report here the characterization of pollen cDNA clones of Lycopersicon peruvianum, and the identification of a genotype-specific pollen factor involved in self-incompatibility. To identify the latter, differential mRNA display RT-PCR was performed on pollen cDNAs from S12Sa and S11Sa genotypes. We isolated four cDNA fragments expressed preferentially in S12Sa pollen, and screened a cDNA library from S12Sa pollen with the four cDNA fragments to isolate the corresponding full length cDNAs. One of the four isolated cDNAs encoded part of an actin depolymerizing factor protein that we named LpADF. LpADF is highly homologous to actin depolymerizing factors of Arabidopsis thaliana, Lilium longiflorum, and Zea mays. RNA blot analysis revealed that LpADF is only expressed in mature pollen of the S12Sa genotype, and is therefore a candidate pollen factor in the gametophyte self-incompatibility system of L. peruvianum.