Ding Y, Xu L, Chen S, Jovanovic B D, Helenowski I B, Kelly D L, Catalona W J, Yang X J, Pins M, Ananthanarayanan V, Bergan R C
Department of Medicine, Division of Hematology/Oncology, Northwestern University Medical School and the Robert H Lurie Cancer Center of Northwestern University, Chicago, IL, USA.
Prostate Cancer Prostatic Dis. 2006;9(4):379-91. doi: 10.1038/sj.pcan.4500888. Epub 2006 Jun 20.
Coupling array technology to laser capture microdissection (LCM) has the potential to yield gene expression profiles of specific cell populations within tissue. However, remaining problems with linear amplification preclude accurate expression profiling when using the low nanogram amounts of RNA recovered after LCM of human tissue. We describe a novel robust method to reliably amplify RNA after LCM, allowing direct probing of 12K gene arrays. The fidelity of amplification was demonstrated by comparing the ability of amplified RNA (aRNA) versus that of native RNA to identify differentially expressed genes between two different cell lines, demonstrating a 99.3% concordance between observations. Array findings were validated by quantitative polymerase chain reaction analysis of a randomly selected subset of 32 genes. Using LCM to recover normal (N=5 subjects) or cancer (N=3) cell populations from intact human prostate tissue, three differentially expressed genes were identified. Independent investigators have previously identified differential expression of two of these three genes, hepsin and beta-microseminoprotein, in prostate cancer. Taken together, the current study demonstrates that accurate gene expression profiling can readily be performed on specific cell populations present within complex tissue. It also demonstrates that this approach efficiently identifies biologically relevant genes.
将耦合阵列技术与激光捕获显微切割(LCM)相结合,有可能获得组织内特定细胞群体的基因表达谱。然而,线性扩增存在的问题使得在使用从人类组织的LCM中回收的低纳克量RNA时无法进行准确的表达谱分析。我们描述了一种新颖且稳健的方法,用于在LCM后可靠地扩增RNA,从而能够直接探测12K基因阵列。通过比较扩增RNA(aRNA)与天然RNA识别两种不同细胞系之间差异表达基因的能力,证明了扩增的保真度,结果显示观察结果之间的一致性达99.3%。通过对随机选择的32个基因子集进行定量聚合酶链反应分析,验证了阵列研究结果。利用LCM从完整的人类前列腺组织中回收正常(N = 5名受试者)或癌症(N = 3)细胞群体,鉴定出三个差异表达基因。独立研究人员先前已在前列腺癌中鉴定出这三个基因中的两个,即组织蛋白酶H和β-微精蛋白,存在差异表达。综上所述,当前研究表明,可以很容易地对复杂组织中存在的特定细胞群体进行准确的基因表达谱分析。它还表明这种方法能够有效地识别生物学相关基因。