Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Joon-Ik Ahn"'
Autor:
Won-Keun Seong, Joon-Ik Ahn, Eun Jung Kim, Hye Jin Cha, Mun-Ji Choi, Seol-Hee Jeon, Ho-Sang Jeong, Hoil Kang, Hyung-Soo Kim
Publikováno v:
Molecular & Cellular Toxicology. 12:197-207
The aim of the present study was to compare gene expression profiles in animals treated with abusable drugs. Wistar rats were treated with saline, morphine, chloral hydrate, or pentobarbital twice daily for 14 days. To induce neurotoxicity, a group o
Autor:
Jae-Young Jeong, Won-Keun Seong, Joon-Ik Ahn, Eun Jung Kim, Min-Gyeong Park, Ho-Sang Jeong, Hyung-Soo Kim, Hoil Kang, Hye Jin Cha
Publikováno v:
Molecular & Cellular Toxicology. 11:335-342
Drug-induced liver injury (DILI) is the most common adverse event causing drug disapprovals and withdrawals. roughly 10% of drug-induced hepatotoxicity is non-steroidal anti-inflammatory drug (NSAID)-related. To find NSAID-induced hepatotoxic markers
Publikováno v:
Biomolecules & Therapeutics
Quetiapine is an atypical or second-generation antipsychotic agent and has been a subject of a series of case report and suggested to have the potential for misuse or abuse. However, it is not a controlled substance and is not generally considered ad
Autor:
Jeeyoung Shin, Joon-Ik Ahn, Yunju Jo, Youngbok Lee, Ho-Sang Jeong, Dong-Yeob Baek, Jinho Yoo, Yangseok Kim
Publikováno v:
BioChip Journal. 6:314-318
We have developed microarray analysis pipeline software for covering the entire process of transcriptome data analysis. This software, part of the Korea Toxicogenomics Integrated System (KOTIS), is freely distributed to users who upload their microar
Publikováno v:
BioChip Journal. 6:128-132
KOTIS (Korea Toxicogenomics Integrated System) is the data warehouse for toxicogenomics research. It contains over 1,700 microarray experiments involved in 40 research projects. The main characteristic of KOTIS is that it has quality inspection modul
Autor:
Soo-Mi Ahn, Sun Ok Choi, Ho-Sang Jeong, Moon-Jung Ko, Hye Soo Kim, Eunjung Kim, Joon-Ik Ahn, Hye Jin Cha, Hee Jung Shin
Publikováno v:
Molecular & Cellular Toxicology. 6:247-253
Toxicogenomics has the potential to be used for the regulatory decision making to predict toxicity in developing new drugs. We have identified the classifiers for hepatotoxicity prediction in nonsteroidal anti inflammatory drugs (NSAIDs) through anal
Autor:
Hee Jung Shin, Hye Soo Kim, Joon-Ik Ahn, Hye Joo Chung, Kyung Ji Jeong, Ho-Sang Jeong, Moon-Jeong Ko
Publikováno v:
Molecular & Cellular Toxicology. 6:169-177
Epigallocatechin gallate (EGCG), a major type of green tea polyphenol, has been reported to cause hepatotoxicity when used in excess. Micro-RNAs (miRNAs) are small non-coding RNA molecules that functions as negative regulators of gene expression. The
Publikováno v:
Genomics & Informatics. 8:41-49
Statins are competitive inhibitors of hydroxy-3-methyl glutaryl coenzyme A (HMG-CoA) reductase and used most frequently to reduce plasma cholesterol levels and to decrease cardiovascular events. However, statins al-so have been reported to have undes
Publikováno v:
Genomics & Informatics. 8:50-57
Mercuric chloride, a model nephrotoxicant was used to elucidate time- and dose- dependent global gene expression changes associated with proximal tubular toxicity. Rat kidney cell lines NRK-52E cells were exposed for 2, 6 and 12 hours and with 3 diff
Publikováno v:
Genomics & Informatics. 7:85-96
The differentiation of neural precursor cells (NPCs) into neurons and astrocytes is a process that is tightly controlled by complicated and ill-defined gene networks. To extend our knowledge to gene networks, we performed a temporal analysis of gene