Biological Sciences Division, Department of Pathology, The University of Chicago, Chicago, Illinois, United States of America.
Proteomics Core Laboratory, Cummings Life Science Center, The University of Chicago, Chicago, Illinois, United States of America.
PLoS One. 2020 Mar 2;15(3):e0228871. doi: 10.1371/journal.pone.0228871. eCollection 2020.
Exosomes are extracellular vesicles (EVs) of ~20-200 nm diameter that shuttle DNAs, RNAs, proteins and other biomolecules between cells. The large number of biomolecules present in exosomes demands the frequent use of high-throughput analysis. This, in turn, requires technical replicates (TRs), and biological replicates (BRs) to produce accurate results. As the number and abundance of identified biomolecules varies between replicates (Rs), establishing the replicate variability predicted for the event under study is essential in determining the number of Rs required. Although there have been few reports of replicate variability in high throughput biological data, none of them focused on exosomes. Herein, we determined the replicate variability in protein profiles found in exosomes released from 3 lung adenocarcinoma cell lines, H1993, A549 and H1975. Since exosome isolates are invariably contaminated by a small percentage of ~200-300 nm microvesicles, we refer to our samples as exosome-enriched EVs (EE-EVs). We generated BRs of EE-EVs from each cell line, and divided each group into 3 TRs. All Rs were analyzed by liquid chromatography/mass spectrometry (LC/MS/MS) and customized bioinformatics and biostatistical workflows (raw data available via ProteomeXchange: PXD012798). We found that the variability among TRs as well as BRs, was largely qualitative (protein present or absent) and higher among BRs. By contrast, the quantitative (protein abundance) variability was low, save for the H1975 cell line where the quantitative variability was significant. Importantly, our replicate strategy identified 90% of the most abundant proteins, thereby establishing the utility of our approach.
外泌体是直径为 20-200nm 的细胞外囊泡 (EVs),可以在细胞间传递 DNA、RNA、蛋白质和其他生物分子。外泌体中存在大量的生物分子,这就要求频繁地进行高通量分析。这反过来又需要技术重复 (TRs) 和生物学重复 (BRs) 来产生准确的结果。由于在重复 (Rs) 之间存在的生物分子数量和丰度不同,因此确定研究事件预测的重复可变性对于确定所需的重复数量至关重要。尽管关于高通量生物数据的重复可变性已经有一些报道,但没有一个专门针对外泌体。在此,我们确定了从 3 种肺腺癌细胞系 H1993、A549 和 H1975 释放的外泌体中发现的蛋白质图谱的重复可变性。由于外泌体分离物不可避免地被少量 (~200-300nm) 微泡污染,因此我们将我们的样本称为富含外泌体的 EVs (EE-EVs)。我们从每个细胞系生成 EE-EVs 的 BR,并将每个组分为 3 个 TR。所有的 Rs 都通过液相色谱/质谱 (LC/MS/MS) 进行分析,并使用定制的生物信息学和生物统计学工作流程 (通过 ProteomeXchange 提供原始数据:PXD012798)。我们发现,TRs 和 BRs 之间的变异性主要是定性的 (存在或不存在蛋白质),并且 BRs 之间的变异性更高。相比之下,定量 (蛋白质丰度) 的变异性较低,但在 H1975 细胞系中,定量变异性很显著。重要的是,我们的重复策略识别了 90%最丰富的蛋白质,从而确立了我们方法的实用性。