Yoon Heejei, Liyanarachchi Sandya, Wright Fred A, Davuluri Ramana, Lockman Janet C, de la Chapelle Albert, Pellegata Natalia S
Human Cancer Genetics Program, Comprehensive Cancer Center, Ohio State University, 420 West 12th Avenue, Columbus 43210, USA.
Proc Natl Acad Sci U S A. 2002 Nov 26;99(24):15632-7. doi: 10.1073/pnas.242597299. Epub 2002 Nov 15.
TP53 does not fully comply with the Knudson model [Knudson, A. G., Jr. (1971) Proc. Natl. Acad. Sci. USA 68, 820-823] in that a reduction of constitutional expression of p53 may be sufficient for tumor predisposition. This finding suggests a gene-dosage effect for p53 function. To determine whether TP53 gene dosage affects the transcriptional regulation of target genes, we performed oligonucleotide-array gene expression analysis by using human cells with wild-type p53 (p53 +/+), or with one (p53 +/-), or both (p53 -/-) TP53 alleles disrupted by homologous recombination. We identified 35 genes whose expression is significantly correlated to the dosage of TP53. These genes are involved in a variety of cellular processes including signal transduction, cell adhesion, and transcription regulation. Several of them are involved in neurogenesis and neural crest migration, developmental processes in which p53 is known to play a role. Motif search analysis revealed that of the genes highly expressed in p53 +/+ and +/- cells, several contain a putative p53 consensus binding site (bs), suggesting that they could be directly regulated by p53. Among those genes, we chose CSPG2 (which encodes versican) for further study because it contains a bona fide p53 bs in its first intron and its expression highly correlates with TP53 dosage. By using in vitro and in vivo assays, we showed CSPG2 to be directly transactivated by p53. In conclusion, we developed a strategy to demonstrate that many genes are affected by TP53 gene dosage for their expression. We report several candidate genes as potential downstream targets of p53 in nonstressed cells. Among them, CSPG2 is validated as being directly transactivated by p53. Our method provides a useful tool to elucidate additional mechanisms by which p53 exerts its functions.
TP53并不完全符合Knudson模型[Knudson, A. G., Jr. (1971) Proc. Natl. Acad. Sci. USA 68, 820 - 823],因为p53组成型表达的降低可能足以导致肿瘤易感性。这一发现提示了p53功能的基因剂量效应。为了确定TP53基因剂量是否影响靶基因的转录调控,我们使用野生型p53(p53 +/+)、一个TP53等位基因被同源重组破坏(p53 +/-)或两个TP53等位基因都被破坏(p53 -/-)的人类细胞进行了寡核苷酸阵列基因表达分析。我们鉴定出35个基因,其表达与TP53的剂量显著相关。这些基因参与多种细胞过程,包括信号转导、细胞黏附及转录调控。其中一些基因参与神经发生和神经嵴迁移,已知p53在这些发育过程中发挥作用。基序搜索分析显示,在p53 +/+和+/-细胞中高表达的基因中,有几个含有假定的p53共有结合位点(bs),表明它们可能受p53直接调控。在这些基因中,我们选择CSPG2(其编码多功能蛋白聚糖)进行进一步研究,因为它在其第一个内含子中含有一个真正的p53 bs,且其表达与TP53剂量高度相关。通过体外和体内试验,我们证明CSPG2可被p53直接反式激活。总之,我们开发了一种策略来证明许多基因的表达受TP53基因剂量影响。我们报告了几个候选基因作为非应激细胞中p53潜在的下游靶点。其中,CSPG2被证实可被p53直接反式激活。我们的方法为阐明p53发挥其功能的其他机制提供了一个有用的工具。