Department of Chemistry, University of Massachusetts, 710 North Pleasant Street, Amherst, Massachusetts 01003, USA.
Nat Chem. 2009 Sep;1(6):461-5. doi: 10.1038/nchem.334.
There is a direct correlation between protein levels and disease states in human serum, which makes it an attractive target for sensors and diagnostics. However, this is challenging because serum features more than 20,000 proteins, with an overall protein content greater than 1 mM. Here we report a sensor based on a hybrid synthetic-biomolecule that uses arrays of green fluorescent protein and nanoparticles to detect proteins at biorelevant concentrations in both buffer and human serum. Distinct and reproducible fluorescence-response patterns were obtained from five serum proteins (human serum albumin, immunoglobulin G, transferrin, fibrinogen and a-antitrypsin), both in buffer and when spiked into human serum. Using linear discriminant analysis we identified these proteins with an identification accuracy of 100% in buffer and 97% in human serum. The arrays were also able to discriminate between different concentrations of the same protein, as well as a mixture of different proteins in human serum.
血清中蛋白质水平与疾病状态直接相关，这使其成为传感器和诊断的有吸引力的目标。然而，这是具有挑战性的，因为血清中含有超过 20000 种蛋白质，总蛋白含量大于 1mM。在这里，我们报告了一种基于混合生物分子的传感器，该传感器使用绿色荧光蛋白和纳米粒子阵列在缓冲液和人血清中以生物相关浓度检测蛋白质。从五种血清蛋白（人血清白蛋白、免疫球蛋白 G、转铁蛋白、纤维蛋白原和 a1-抗胰蛋白酶）中均在缓冲液中和掺入人血清中获得了独特且可重复的荧光响应模式。使用线性判别分析，我们在缓冲液中以 100%的识别准确率和在人血清中以 97%的识别准确率鉴定了这些蛋白质。该阵列还能够区分相同蛋白质的不同浓度以及人血清中不同蛋白质的混合物。
