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前列腺癌细胞的单细胞转录组分析。

Single cell transcriptomic analysis of prostate cancer cells.

机构信息

Department of Urology, University of Washington, Seattle, WA, USA.

出版信息

BMC Mol Biol. 2013 Feb 16;14:6. doi: 10.1186/1471-2199-14-6.

Abstract

BACKGROUND

The ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). To determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (PCa) cell, we clonally selected and cultured a single passage of cell cycle synchronized C4-2B PCa cells. Ten sets of single, 5-, or 10-cells were isolated using a micromanipulator under direct visualization with an inverted microscope. Additionally, two groups of 10 individual DTC, each isolated from bone marrow of 2 patients with metastatic PCa were obtained. RNA was amplified using the WT-Ovation™ One-Direct Amplification System. The amplified material was hybridized on a 44K Whole Human Gene Expression Microarray. A high stringency threshold, a mean Alexa Fluor® 3 signal intensity above 300, was used for gene detection. Relative expression levels were validated for select genes using real-time PCR (RT-qPCR).

RESULTS

Using this approach, 22,410, 20,423, and 17,009 probes were positive on the arrays from 10-cell pools, 5-cell pools, and single-cells, respectively. The sensitivity and specificity of gene detection on the single-cell analyses were 0.739 and 0.972 respectively when compared to 10-cell pools, and 0.814 and 0.979 respectively when compared to 5-cell pools, demonstrating a low false positive rate. Among 10,000 randomly selected pairs of genes, the Pearson correlation coefficient was 0.875 between the single-cell and 5-cell pools and 0.783 between the single-cell and 10-cell pools. As expected, abundant transcripts in the 5- and 10-cell samples were detected by RT-qPCR in the single-cell isolates, while lower abundance messages were not. Using the same stringency, 16,039 probes were positive on the patient single-cell arrays. Cluster analysis showed that all 10 DTC grouped together within each patient.

CONCLUSIONS

A transcriptomic profile can be reliably obtained from a single cell using commercially available technology. As expected, fewer amplified genes are detected from a single-cell sample than from pooled-cell samples, however this method can be used to reliably obtain a transcriptomic profile from DTC isolated from the bone marrow of patients with PCa.

摘要

背景

循环肿瘤细胞(CTC)和播散肿瘤细胞(DTC)的检测和分离受到所检测到和分离到的细胞数量的限制(通常<10 个)。为了确定一种商业上可获得的技术是否可以提供单个前列腺癌(PCa)细胞的转录组谱,我们对细胞周期同步的 C4-2B PCa 细胞进行了单传代克隆选择和培养。使用显微镜下的倒置显微镜在直接可视化下使用微操作器分离了十组单个、五组或十组细胞。此外,从两名转移性 PCa 患者的骨髓中获得了两组每组 10 个个体的 DTC。使用 WT-Ovation™One-Direct Amplification System 扩增 RNA。将扩增的材料杂交到 44K 全人类基因表达微阵列上。使用平均 Alexa Fluor®3 信号强度>300 的高严格性阈值用于基因检测。使用实时 PCR(RT-qPCR)验证了选定基因的相对表达水平。

结果

使用这种方法,从 10 细胞池、5 细胞池和单细胞中分别有 22410、20423 和 17009 个探针在芯片上呈阳性。与 10 细胞池相比,单细胞分析的基因检测的灵敏度和特异性分别为 0.739 和 0.972,与 5 细胞池相比,灵敏度和特异性分别为 0.814 和 0.979,表明假阳性率低。在 10000 对随机选择的基因对中,单细胞和 5 细胞池之间的 Pearson 相关系数为 0.875,单细胞和 10 细胞池之间的 Pearson 相关系数为 0.783。正如预期的那样,5-和 10 细胞样本中的丰富转录本通过 RT-qPCR 在单细胞分离物中检测到,而低丰度的消息则未检测到。使用相同的严格性,在患者单细胞芯片上有 16039 个探针呈阳性。聚类分析表明,每个患者的 10 个 DTC 都在组内聚集在一起。

结论

使用市售技术可以从单个细胞中可靠地获得转录组谱。正如预期的那样,从单细胞样本中检测到的扩增基因比从池细胞样本中检测到的基因少,但是该方法可用于从 PCa 患者骨髓中分离的 DTC 中可靠地获得转录组谱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b190/3599075/78a973737dcf/1471-2199-14-6-1.jpg

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