@inbook{cbb0a38c97404d39b394cf2d021dbb01,
title = "Spatial Proteomics of Single Hepatocytes with Multiplexed Data-Independent Acquisition (mDIA)",
abstract = "Spatially resolved mass spectrometry-based proteomics at single-cell resolution promises to provide insights into biological heterogeneity. We describe a protocol based on multiplexed data-independent acquisition (mDIA) with dimethyl labeling to enhance proteome depth, accuracy, and throughput while minimizing costs. It enables high-quality proteome analysis of single isolated hepatocytes and utilizes liver zonation for single-cell proteomics benchmarking. This adaptable, modular protocol will promote the use of single-cell proteomics in spatial biology.",
keywords = "Hepatocytes/metabolism, Proteomics/methods, Single-Cell Analysis/methods, Animals, Proteome/analysis, Mass Spectrometry/methods, Mice, Liver/metabolism",
author = "Marvin Thielert and Weiss, {Caroline A M} and Matthias Mann and Rosenberger, {Florian A}",
note = "{\textcopyright} 2024. The Author(s).",
year = "2024",
doi = "10.1007/978-1-0716-3934-4_9",
language = "English",
volume = "2817",
series = "Methods in molecular biology (Clifton, N.J.)",
publisher = "Humana, New York, NY",
pages = "97--113",
booktitle = "Mass Spectrometry Based Single Cell Proteomics",
}