Cargando…
Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database
To explore the mechanism underlying antileukaemia effect of sodium valproate, the growth and survival of the K562 cell line were investigated. Global profiles of gene expression in K562 cells exposed to sodium valproate were assessed and validated. The differentially expressed genes identified were...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3373151/ https://www.ncbi.nlm.nih.gov/pubmed/22701306 http://dx.doi.org/10.1155/2012/654291 |
_version_ | 1782235421493690368 |
---|---|
author | Zhang, Xiang-Zhong Yin, Ai-Hua Lin, Dong-Jun Zhu, Xiao-Yu Ding, Qian Wang, Chun-Huai Chen, Yun-Xian |
author_facet | Zhang, Xiang-Zhong Yin, Ai-Hua Lin, Dong-Jun Zhu, Xiao-Yu Ding, Qian Wang, Chun-Huai Chen, Yun-Xian |
author_sort | Zhang, Xiang-Zhong |
collection | PubMed |
description | To explore the mechanism underlying antileukaemia effect of sodium valproate, the growth and survival of the K562 cell line were investigated. Global profiles of gene expression in K562 cells exposed to sodium valproate were assessed and validated. The differentially expressed genes identified were further used to query the connectivity map database to retrieve a ranked list of compounds that act on the same intracellular targets as sodium valproate. A significant increase in cell apoptosis and a change in gene expression profile were observed in valproate-exposed K562 cells. The significant enrichment analysis of gene ontology terms for the differentially expressed genes showed that these genes were involved in many important biological processes. Eight differentially expressed genes involved in apoptosis were verified by quantitative real-time PCR. The connectivity map analysis showed gene expression profile in K562 cells exposed to sodium valproate was most similar to that of HDACi and PI3K inhibitors, suggesting that sodium valproate might exert antileukaemic action by inhibiting HDAC as well as inhibiting PI3K pathway. In conclusion, our data might provide clues to elucidate the molecular and therapeutic potential of VPA in leukaemia treatment, and the connectivity map is a useful tool for exploring the molecular mechanism of drug action. |
format | Online Article Text |
id | pubmed-3373151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33731512012-06-14 Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database Zhang, Xiang-Zhong Yin, Ai-Hua Lin, Dong-Jun Zhu, Xiao-Yu Ding, Qian Wang, Chun-Huai Chen, Yun-Xian J Biomed Biotechnol Research Article To explore the mechanism underlying antileukaemia effect of sodium valproate, the growth and survival of the K562 cell line were investigated. Global profiles of gene expression in K562 cells exposed to sodium valproate were assessed and validated. The differentially expressed genes identified were further used to query the connectivity map database to retrieve a ranked list of compounds that act on the same intracellular targets as sodium valproate. A significant increase in cell apoptosis and a change in gene expression profile were observed in valproate-exposed K562 cells. The significant enrichment analysis of gene ontology terms for the differentially expressed genes showed that these genes were involved in many important biological processes. Eight differentially expressed genes involved in apoptosis were verified by quantitative real-time PCR. The connectivity map analysis showed gene expression profile in K562 cells exposed to sodium valproate was most similar to that of HDACi and PI3K inhibitors, suggesting that sodium valproate might exert antileukaemic action by inhibiting HDAC as well as inhibiting PI3K pathway. In conclusion, our data might provide clues to elucidate the molecular and therapeutic potential of VPA in leukaemia treatment, and the connectivity map is a useful tool for exploring the molecular mechanism of drug action. Hindawi Publishing Corporation 2012 2012-06-04 /pmc/articles/PMC3373151/ /pubmed/22701306 http://dx.doi.org/10.1155/2012/654291 Text en Copyright © 2012 Xiang-Zhong Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Xiang-Zhong Yin, Ai-Hua Lin, Dong-Jun Zhu, Xiao-Yu Ding, Qian Wang, Chun-Huai Chen, Yun-Xian Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database |
title | Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database |
title_full | Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database |
title_fullStr | Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database |
title_full_unstemmed | Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database |
title_short | Analyzing Gene Expression Profile in K562 Cells Exposed to Sodium Valproate Using Microarray Combined with the Connectivity Map Database |
title_sort | analyzing gene expression profile in k562 cells exposed to sodium valproate using microarray combined with the connectivity map database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3373151/ https://www.ncbi.nlm.nih.gov/pubmed/22701306 http://dx.doi.org/10.1155/2012/654291 |
work_keys_str_mv | AT zhangxiangzhong analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase AT yinaihua analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase AT lindongjun analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase AT zhuxiaoyu analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase AT dingqian analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase AT wangchunhuai analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase AT chenyunxian analyzinggeneexpressionprofileink562cellsexposedtosodiumvalproateusingmicroarraycombinedwiththeconnectivitymapdatabase |