Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States.
J Proteome Res. 2021 Mar 5;20(3):1676-1688. doi: 10.1021/acs.jproteome.0c00890. Epub 2021 Feb 24.
In-depth LC-MS-based proteomic profiling of limited biological and clinical samples, such as rare cells or tissue sections from laser capture microdissection or microneedle biopsies, has been problematic due, in large, to the inefficiency of sample preparation and attendant sample losses. To address this issue, we developed on-microsolid-phase extraction tip (OmSET)-based sample preparation for limited biological samples. OmSET is simple, efficient, reproducible, and scalable and is a widely accessible method for processing ∼200 to 10,000 cells. The developed method benefits from minimal sample processing volumes (1-3 μL) and conducting all sample processing steps on-membrane within a single microreactor. We first assessed the feasibility of using micro-SPE tips for nanogram-level amounts of tryptic peptides, minimized the number of required sample handling steps, and reduced the hands-on time. We then evaluated the capability of OmSET for quantitative analysis of low numbers of human monocytes. Reliable and reproducible label-free quantitation results were obtained with excellent correlations between protein abundances and the amounts of starting material ( = 0.93) and pairwise correlations between sample processing replicates ( = 0.95) along with the identification of approximately 300, 1800, and 2000 protein groups from injected ∼10, 100, and 500 cell equivalents, resulting from processing approximately 200, 2000, and 10,000 cells, respectively.
深入的基于 LC-MS 的蛋白质组学分析仅限于生物样本和临床样本,例如稀有细胞或激光捕获微切割或微针活检的组织切片,由于样品制备效率低下和伴随的样品损失,这一直是个问题。为了解决这个问题,我们开发了基于微固相萃取尖端(OmSET)的有限生物样品制备方法。OmSET 简单、高效、可重复且可扩展,是一种广泛可用的方法,可处理约 200 到 10,000 个细胞。所开发的方法受益于最小的样品处理体积(1-3 μL),并且所有样品处理步骤都在单个微反应器内的膜上进行。我们首先评估了使用微 SPE 尖端用于纳克级数量的胰蛋白酶肽的可行性,最小化了所需的样品处理步骤的数量,并减少了手工操作时间。然后,我们评估了 OmSET 用于定量分析少量人单核细胞的能力。通过与起始材料量的良好相关性( = 0.93)和样品处理重复之间的成对相关性( = 0.95),获得了可靠且可重现的无标记定量结果,以及大约 300、1800 和 2000 个蛋白质组从分别处理约 200、2000 和 10,000 个细胞的约 10、100 和 500 个细胞当量的注入中鉴定出。