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通过 plexDIA 增加蛋白质分析深度和通量的策略。

Strategies for Increasing the Depth and Throughput of Protein Analysis by plexDIA.

机构信息

Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, Massachusetts 02115, United States.

Parallel Squared Technology Institute, Watertown, Massachusetts 02472, United States.

出版信息

J Proteome Res. 2023 Mar 3;22(3):697-705. doi: 10.1021/acs.jproteome.2c00721. Epub 2023 Feb 3.

Abstract

Accurate protein quantification is key to identifying protein markers, regulatory relationships between proteins, and pathophysiological mechanisms. Realizing this potential requires sensitive and deep protein analysis of a large number of samples. Toward this goal, proteomics throughput can be increased by parallelizing the analysis of both precursors and samples using multiplexed data independent acquisition (DIA) implemented by the plexDIA framework: https://plexDIA.slavovlab.net. Here we demonstrate the improved precisions of retention time estimates within plexDIA and how this enables more accurate protein quantification. plexDIA has demonstrated multiplicative gains in throughput, and these gains may be substantially amplified by improving the multiplexing reagents, data acquisition, and interpretation. We discuss future directions for advancing plexDIA, which include engineering optimized mass-tags for high-plexDIA, introducing isotopologous carriers, and developing algorithms that utilize the regular structures of plexDIA data to improve sensitivity, proteome coverage, and quantitative accuracy. These advances in plexDIA will increase the throughput of functional proteomic assays, including quantifying protein conformations, turnover dynamics, modifications states and activities. The sensitivity of these assays will extend to single-cell analysis, thus enabling functional single-cell protein analysis.

摘要

准确的蛋白质定量是鉴定蛋白质标志物、蛋白质之间的调控关系以及病理生理机制的关键。要实现这一目标,需要对大量样本进行灵敏和深入的蛋白质分析。为了实现这一目标,可以使用 plexDIA 框架实现的多路复用数据非依赖性采集 (DIA) 来并行分析前体和样本,从而提高蛋白质组学的通量:https://plexDIA.slavovlab.net。在这里,我们展示了 plexDIA 中保留时间估计的精度提高,以及这如何实现更准确的蛋白质定量。plexDIA 已经证明了在吞吐量方面的乘法增益,并且通过改进多路复用试剂、数据采集和解释,这些增益可能会大大放大。我们讨论了推进 plexDIA 的未来方向,包括为高 plexDIA 工程优化质量标签、引入同位素载体以及开发利用 plexDIA 数据规则结构来提高灵敏度、蛋白质组覆盖和定量准确性的算法。plexDIA 的这些进展将提高功能蛋白质组学分析的通量,包括定量蛋白质构象、周转动力学、修饰状态和活性。这些测定的灵敏度将扩展到单细胞分析,从而实现功能单细胞蛋白质分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62f5/10629254/9dfec219eb44/pr2c00721_0001.jpg

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