Scanometric microRNA array profiling of prostate cancer markers using spherical nucleic acid-gold nanoparticle conjugates.

Scanometric microRNA array profiling of prostate cancer markers using spherical nucleic acid-gold nanoparticle conjugates.
复制标题

使用球形核酸 - 金纳米粒子结合物的前列腺癌标记物的扫描microRNA阵列分析。

DOI:
10.1021/ac3004055
复制
发表时间:
2012-05-01
影响因子:
7.4
通讯作者:
Mirkin, Chad A.
Mirkin, Chad A.
中科院分区:
化学1区
文献类型:
--
作者:
Alhasan, Ali H.;Kim, Dae Y.;Daniel, Weston L.;Watson, Erin;Meeks, Joshua J.;Thaxton, C. Shad;Mirkin, Chad A.

文献摘要

参考文献

被引文献

相似文献

我们报告了一种新型 Scanometric MicroRNA (Scano-miR) 平台的开发,用于检测相对低丰度的 miRNA,具有高特异性和可重复性。 Scano-miR 系统能够以单核苷酸错配特异性检测血清中 1 fM 浓度的 miRNA。事实上,与基于分子荧光团的检测系统相比,它对 miRNA 靶标的灵敏度更高,在相同条件下无法检测到 88% 的低丰度 miRNA 靶标。 Scano-miR 平台在高密度阵列格式中的应用证明了其对各种生物样品的高通量和多重 miRNA 分析的实用性。为了评估 Scano-miR 系统的准确性,我们分析了前列腺癌 (CaP) 患者样本的 miRNA 图谱,前列腺癌是最常见的非皮肤恶性肿瘤,也是美国男性癌症死亡的第二大原因。该平台在检测与 CaP 相关的解除管制的 miRNA 时表现出 98.8% 的准确度,这证明了其在分析和识别临床和研究生物标志物方面的潜在用途。
We report the development of a novel Scanometric MicroRNA (Scano-miR) platform for the detection of relatively low abundance miRNAs with high specificity and reproducibility. The Scano-miR system was able to detect 1 fM concentrations of miRNA in serum with single nucleotide mismatch specificity. Indeed, it provides increased sensitivity for miRNA targets compared to molecular fluorophore-based detection systems, where 88% of the low abundance miRNA targets could not be detected under identical conditions. The application of the Scano-miR platform to high density array formats demonstrates its utility for high throughput and multiplexed miRNA profiling from various biological samples. To assess the accuracy of the Scano-miR system, we analyzed the miRNA profiles of samples from victims of prostate cancer (CaP), the most common noncutaneous malignancy and the second leading cause of cancer death among American men. The platform exhibits 98.8% accuracy when detecting deregulated miRNAs involved in CaP, which demonstrates its potential utility in profiling and identifying clinical and research biomarkers.
DOI: 10.1038/nature03702
发表时间: 2005-06-09
期刊: NATURE
影响因子: 64.8
作者:
Lu, J;Getz, G;Golub, TR
通讯作者: Golub, TR
DOI: 10.1038/382607a0
发表时间: 1996-08-15
期刊: NATURE
影响因子: 64.8
作者:
Mirkin, CA;Letsinger, RL;Storhoff, JJ
通讯作者: Storhoff, JJ
DOI: 10.1186/1756-0500-3-10
发表时间: 2010-01-19
期刊: BMC research notes
影响因子: 1.8
作者:
Feng G;Du P;Krett NL;Tessel M;Rosen S;Kibbe WA;Lin SM
通讯作者: Lin SM
DOI: 10.1073/pnas.0804549105
发表时间: 2008-07-29
影响因子: 11.1
作者:
Mitchell, Patrick S.;Parkin, Rachael K.;Tewari, Muneesh
通讯作者: Tewari, Muneesh
DOI: 10.1016/0092-8674(93)90529-y
发表时间: 1993-12-03
期刊: CELL
影响因子: 64.5
作者:
LEE, RC;FEINBAUM, RL;AMBROS, V
通讯作者: AMBROS, V