Single-Cell Proteomic Technologies: Tools in the quest for principles

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1. Verfasser: Slavov, Nikolai
Format: Preprint
Veröffentlicht: 2025
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author Slavov, Nikolai
author_facet Slavov, Nikolai
contents Over the last decade, proteomic analysis of single cells by mass spectrometry transitioned from an uncertain possibility to a set of robust and rapidly advancing technologies supporting the accurate quantification of thousands of proteins. We review the major drivers of this progress, from establishing feasibility to powerful and increasingly scalable methods. We focus on the tradeoffs and synergies of different technological solutions within a coherent conceptual framework, which projects considerable room both for throughput scaling and for extending the analysis scope to functional protein measurements. We highlight the potential of these technologies to support the development of mechanistic biophysical models and help uncover new principles.
format Preprint
id arxiv_https___arxiv_org_abs_2506_18198
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Single-Cell Proteomic Technologies: Tools in the quest for principles
Slavov, Nikolai
Quantitative Methods
Biomolecules
Molecular Networks
Over the last decade, proteomic analysis of single cells by mass spectrometry transitioned from an uncertain possibility to a set of robust and rapidly advancing technologies supporting the accurate quantification of thousands of proteins. We review the major drivers of this progress, from establishing feasibility to powerful and increasingly scalable methods. We focus on the tradeoffs and synergies of different technological solutions within a coherent conceptual framework, which projects considerable room both for throughput scaling and for extending the analysis scope to functional protein measurements. We highlight the potential of these technologies to support the development of mechanistic biophysical models and help uncover new principles.
title Single-Cell Proteomic Technologies: Tools in the quest for principles
topic Quantitative Methods
Biomolecules
Molecular Networks
url https://arxiv.org/abs/2506.18198