蛋白质组学
轨道轨道
计算生物学
蛋白质组
质谱法
定量蛋白质组学
计算机科学
单细胞分析
化学
细胞
纳米技术
生物
基因
生物化学
色谱法
材料科学
作者
Valdemaras Petrosius,Pedro Aragon-Fernandez,Tabiwang N. Arrey,Nil Üresin,Benjamin Furtwängler,Hamish Stewart,Eduard Denisov,J. Petzoldt,Amelia C. Peterson,Christian Hock,Eugen Damoc,Alexander Makarov,Vlad Zabrouskov,Bo Porse,Erwin M. Schoof
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2023-06-08
被引量:34
标识
DOI:10.1101/2023.06.06.543943
摘要
Abstract The complexity of human physiology arises from well-orchestrated interactions between trillions of single cells in the body. While single-cell RNA sequencing (scRNA-seq) has enhanced our understanding of cell diversity, gene expression alone does not fully characterize cell phenotypes. Additional molecular dimensions, such as proteins, are needed to define cellular states accurately. Mass spectrometry (MS)-based proteomics has emerged as a powerful tool for comprehensive protein analysis, including single-cell applications. However, challenges remain in terms of throughput and proteomic depth, in order to maximize the biological impact of single-cell proteomics by Mass Spectrometry (scp-MS) workflows. This study leverages a novel high-resolution, accurate mass (HRAM) instrument platform, consisting of both an Orbitrap and an innovative HRAM Asymmetric Track Lossless (Astral) analyzer. The Astral analyzer offers high sensitivity and resolution through lossless ion transfer and a unique flight track design. We evaluate the performance of the Thermo Scientific Orbitrap Astral MS using Data-Independent Acquisition (DIA) and assess proteome depth and quantitative precision for ultra-low input samples. Optimal DIA method parameters for single-cell proteomics are identified, and we demonstrate the ability of the instrument to study cell cycle dynamics in Human Embryonic Kidney (HEK293) cells, and cancer cell heterogeneity in a primary Acute Myeloid Leukemia (AML) culture model.
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