Sensing of proteins in human serum using conjugates of nanoparticles and green fluorescent protein.
Sensing of proteins in human serum using conjugates of nanoparticles and green fluorescent protein.
复制标题
作者：
人体血清中的蛋白质水平与疾病状态之间存在直接关联，这使得它成为传感器和诊断的一个有吸引力的目标。然而，这是具有挑战性的，因为血清中含有20,000多种蛋白质，总蛋白质含量超过1 mm。在这里，我们报告了一种基于混合合成生物分子的传感器，它使用绿色荧光蛋白纳米颗粒阵列来检测缓冲液和人血清中生物悬浮浓度的蛋白质。5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α-抗胰蛋白酶)在缓冲液中和加入到人血清中时，获得了清晰和可重现的荧光响应模式。通过线性判别分析，我们在缓冲液中的识别准确率为100%，在人血清中的识别准确率为97%。这些阵列还能够区分相同蛋白质的不同浓度以及人体血清中不同蛋白质的混合物。
There is a direct correlation between protein levels and disease states in human serum making it an attractive target for sensors and diagnostics. However this is made challenging because serum features more than 20,000 proteins with an overall protein content of greater than 1 mM. Here we report a hybrid synthetic-biomolecule based sensor that uses green fluorescent protein-nanoparticle arrays 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 α-antitrypsin) 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.