We evaluated the toxic effects of four currently used chemolytic solvents--dimethyl sulfoxide (DMSO, 99%), ethyl propionate (EP, 99%), tetrasodium ethyl-dimethyl tetraacetate (4Na-EDTA, 2%, pH 11), and methyl tert-butyl ether (MTBE, purity = 99.5%) in an animal model. Each solvent was tested in nine farm piglets (Landrace), weighing between 20 and 25 kg. A solvent-resistant catheter was inserted transhepatically into the gallbladder (GB) using sonographic guidance 24 hr prior to each experiment. Seventy-five milliliters of each solvent was infused over 3 hr into the gallbladder. The following day, a laparotomy was performed in order to assess for possible damage to the liver, GB, bile ducts (BD), or intestines. The GB and liver were resected and their histology examined. The following pathologic grades were assigned to GB, BD, and liver specimens to describe the tissue damage: normal (0), mild (1), moderate (2), and severe (3). We found that DMSO had the highest score on gallbladder and bile duct injury (49, 3), followed by EP (36, 2), EDTA (14, 1) and MTBE (16, 0), respectively; the difference in gallbladder damage was statistically significant. Very mild hepatocyte damage was present in the DMSO (2) and MTBE (2) groups. The administration of EP and EDTA resulted in no liver injury at all. Piglets within each treatment group suffered from varying degrees of tissue injury. No deaths were attributed to the administered solvents. We concluded that DMSO, EP, EDTA, and MTBE do not have serious local toxic effect on the GB, BD, and intestine; nor do they lead to severe hepatotoxicity.(ABSTRACT TRUNCATED AT 250 WORDS)
A microarray experiment includes many steps, and each one of them may include systematic variations. To have a sound analysis, the systematic bias must be identified and removed prior to the data being analyzed. Based on the M-A dependency observed by Dudoit et al. (2002), we suggest that, instead of using the lowess normalization, a new normalization method called ANCOVA be used for dealing with genes with replicates. Simulation studies have shown that the performance of the suggested ANCOVA method is superior to any of the available approaches with regards to the Fisher's Z score and concordance rate. We used a microarray data from bladder cancer to illustrate the application of our approach. The edge the ANCOVA method has over the existing normalization approaches is further confirmed through real-time PCR.
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