Simple One-step Vial-based Pretreatment for Deep Single-cell Proteomics and Its Application to Oocyte Aging
Abstract
Single-cell proteomics is a pivotal technology for studying cellular phenotypes, offering unparalleled insights into cellular heterogeneity and dynamic functions. Technical improvement in mass spectrometry instrument and sample preparation has made single-cell proteomics feasible in recent years. Yet, developing a simple and robust sample preparation method to enable deep proteomics profiling of single cells remains a significant challenge. Herein, we developed a simple one-step vial-based pretreatment (SOViP) for deep label-free single-cell proteomics. SOViP integrates all sample preparation procedures into a single step in autosampler vials, yet it is highly efficient and high-throughput. SOViP can be finished within [~]2 h, with hands-on time limited to merely a few minutes. We show that on average over 6,500 can be quantified from a single mouse oocyte using SOViP. In total 6,983 protein groups were identified from single mouse oocytes across an entire reproductive lifespan, offering a valuable proteomics resource for oocyte aging. Unique molecular characteristics of oocytes at different ages were revealed, and a classifier consisting of ten proteins demonstrated accurate age-group classification and fertility-level prediction. Although demonstrated using mouse oocytes in this study, SOViP is adaptable to rare cell samples and other large cells, including follicles and preimplantation embryo cells, among others.
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Research summary
The paper presents a novel method for single-cell proteomics that could enhance our understanding of cellular aging, specifically in oocytes. By identifying unique molecular characteristics associated with age, it contributes to the broader field of aging research. However, while the findings are solid and may aid in understanding oocyte aging, the impact is limited as it focuses on a specific cell type and does not address broader mechanisms of aging or lifespan extension.
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