Identification of novel differentially expressed genes in human astrocytomas by cDNA representational difference analysis

被引:39
|
作者
Oba-Shinjo, SM
Bengtson, MH
Winnischofer, SMB
Colin, C
Vedoy, CG
de Mendonça, Z
Marie, SKN
Sogayar, MC
机构
[1] Univ Sao Paulo, Inst Quim, BR-05513 Sao Paulo, Brazil
[2] Univ Sao Paulo, Fac Med, Dept Neurol, Sao Paulo, Brazil
来源
MOLECULAR BRAIN RESEARCH | 2005年 / 140卷 / 1-2期
基金
巴西圣保罗研究基金会;
关键词
astrocytoma; representational difference analysis; subtracted cDNA library; gene expression; glioma tumor marker;
D O I
10.1016/j.molbrainres.2005.06.015
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Diffuse infiltrating gliomas are the most common tumors of the central nervous system (CNS), naturally progressing from a lower-grade to a higher-grade malignancy. Several genetic alterations have been correlated with astrocytic tumors; however, a number of as yet unknown genes may also be involved. Therefore, we set out to search for genes that are differentially expressed in anaplastic astrocytoma and normal CNS tissue by applying a PCR-based subtractive hybridization approach, namely, representational difference analysis (RDA). The results of DNA sequencing of a sample (96 cDNA clones) from the subtracted library allowed the identification of 18 different genes, some of which were represented by several cDNA clones, coding for the Np95, LMO1, FCGBP, DSCAM, and taxilin proteins. Quantitative real-time PCR analysis for five of these genes was performed using samples of astrocytic tumors of different grades, confirming their higher expression when compared to non-tumoral CNS tissue. Identification of differentially expressed genes present in gliomas but not in normal CNS tissue is important not only to better understand the molecular basis of these cancers, but also to generate diagnostic DNA chips, which may be useful in future therapeutic intervention. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:25 / 33
页数:9
相关论文
共 50 条
  • [21] Identification of genes differentially expressed among plasma and memory B-lymphocytes utilizing representational difference analysis
    Fuh, F
    Landolfi, N
    Williams, M
    FASEB JOURNAL, 2003, 17 (07): : C183 - C184
  • [22] Identification of genes with specific expression in pancreatic cancer by cDNA representational difference analysis
    Gress, TM
    Wallrapp, C
    Frohme, M
    MullerPillasch, F
    Lacher, U
    Friess, H
    Buchler, M
    Adler, G
    Hoheisel, JD
    GENES CHROMOSOMES & CANCER, 1997, 19 (02): : 97 - 103
  • [24] Primary study of differentially expressed cDNA sequences in cell line HNE1 of human nasopharyngeal carcinoma by cDNA representational difference analysis
    Zhang, Fenghuang
    Jiang, Ning
    Cao, Li
    Deng, Longwen
    Tan, Guolin
    Zhou, Min
    Xie, Yi
    Li, Guiyuan
    Zhonghua Yixue Yichuanxue Zazhi/Chinese Journal of Medical Genetics, 1998, 15 (06): : 341 - 344
  • [25] Identification of the genes differentially expressed in human dendritic cell subsets by cDNA subtraction and microarray analysis
    Ahn, JH
    Lee, Y
    Jeon, C
    Lee, SJ
    Lee, BH
    Choi, KD
    Bae, YS
    BLOOD, 2002, 100 (05) : 1742 - 1754
  • [26] Identification of novel genes that are differentially expressed in human colorectal carcinoma
    Chan, EC
    Lue, MY
    Hsu, KC
    Fan, HA
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE, 1998, 1407 (03): : 200 - 204
  • [27] Identification of genes related to invasion and metastasis in pancreatic cancer by cDNA representational difference analysis
    Ishikawa, S
    Egami, H
    Kurizaki, T
    Akagi, J
    Tamori, Y
    Yoshida, N
    Tan, X
    Hayashi, N
    Ogawa, M
    JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2003, 22 (02) : 299 - 306
  • [28] Identification of novel dioxin-responsive genes by representational difference analysis
    Rivera, S. P.
    Saarikoski, S. T.
    Sun, W.
    Hankinson, O.
    XENOBIOTICA, 2007, 37 (03) : 271 - 279
  • [29] Identification of differentially expressed genes in NIDDM by cDNA differential display
    Huang, X
    Koranyi, L
    Lehtovirta, M
    Groop, L
    DIABETOLOGIA, 1996, 39 : 265 - 265
  • [30] Improving the identification of differentially expressed genes in cDNA microarray experiments
    Ultsch, A
    Classification - the Ubiquitous Challenge, 2005, : 378 - 385