Literature DB >> 10094470

Identification of the genes responsive to etoposide-induced apoptosis: application of DNA chip technology.

Y Wang1, T Rea, J Bian, S Gray, Y Sun.   

Abstract

DNA chip technology was used in an attempt to identify target genes responsible for apoptosis induced by etoposide, a p53 activating topoisomerase II inhibitor used clinically as an antitumor agent. 62 Individual mRNAs whose mass changed significantly were identified after screening oligonucleotide arrays capable of detecting 6591 unique human mRNA species. 12 (Nine induced and three repressed) of the etoposide-responsive genes were further studied by Northern analysis and an agreement rate of 92%, was reached. Among the 12 genes studied, two (WAF1/p21 and PCNA) are known p53 regulatory genes, two (glutathione peroxidase and S100A2 calcium-binding protein) appear to be the novel p53 target genes and the others appear to be p53-independent. Based upon these findings, the signalling pathways that possibly mediate etoposide-induced apoptosis are proposed.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10094470     DOI: 10.1016/s0014-5793(99)00136-2

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  18 in total

1.  PTGF-beta, a type beta transforming growth factor (TGF-beta) superfamily member, is a p53 target gene that inhibits tumor cell growth via TGF-beta signaling pathway.

Authors:  M Tan; Y Wang; K Guan; Y Sun
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-04       Impact factor: 11.205

2.  Identification of azole-responsive genes by microarray technology: why are we missing the efflux transporter genes?

Authors:  D P Kontoyiannis; G S May
Journal:  Antimicrob Agents Chemother       Date:  2001-12       Impact factor: 5.191

3.  A new approach for filtering noise from high-density oligonucleotide microarray datasets.

Authors:  J C Mills; J I Gordon
Journal:  Nucleic Acids Res       Date:  2001-08-01       Impact factor: 16.971

4.  Apoptosis-related mRNA expression profiles of ovarian cancer cell lines following cisplatin treatment.

Authors:  Joohee Yoon; Eung-Sam Kim; Sung Jong Lee; Chang-Wook Park; Hyung Jin Cha; Bee Hak Hong; Kwan Yong Choi
Journal:  J Gynecol Oncol       Date:  2010-12-31       Impact factor: 4.401

5.  SAK, a new polo-like kinase, is transcriptionally repressed by p53 and induces apoptosis upon RNAi silencing.

Authors:  Jun Li; Mingjia Tan; Ling Li; Deepika Pamarthy; Theodore S Lawrence; Yi Sun
Journal:  Neoplasia       Date:  2005-04       Impact factor: 5.715

6.  A role for K-ras in conferring resistance to the MEK inhibitor, CI-1040.

Authors:  Yuli Wang; Keri Van Becelaere; Ping Jiang; Sally Przybranowski; Charles Omer; Judith Sebolt-Leopold
Journal:  Neoplasia       Date:  2005-04       Impact factor: 5.715

Review 7.  Use of transcriptomics in understanding mechanisms of drug-induced toxicity.

Authors:  Yuxia Cui; Richard S Paules
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

8.  A molecular profile of the mouse gastric parietal cell with and without exposure to Helicobacter pylori.

Authors:  J C Mills; A J Syder; C V Hong; J L Guruge; F Raaii; J I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-20       Impact factor: 11.205

9.  Microarray Data Mining for Potential Selenium Targets in Chemoprevention of Prostate Cancer.

Authors:  Haitao Zhang; Yan Dong; Hongjuan Zhao; James D Brooks; Lesleyann Hawthorn; Norma Nowak; James R Marshall; Allen C Gao; Clement Ip
Journal:  Cancer Genomics Proteomics       Date:  2005-04       Impact factor: 4.069

10.  Discriminating different classes of toxicants by transcript profiling.

Authors:  Guido Steiner; Laura Suter; Franziska Boess; Rodolfo Gasser; Maria Cristina de Vera; Silvio Albertini; Stefan Ruepp
Journal:  Environ Health Perspect       Date:  2004-08       Impact factor: 9.031

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.