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Single Cell Proteomics for Molecular Targets in Lung Cancer: High-Dimensional Data Acquisition and Analysis

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Single Cell Biomedicine

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1068))

Abstract

In the proteomic and genomic era, lung cancer researchers are increasingly under challenge with traditional protein analyzing tools. High output, multiplexed analytical procedures are in demand for disclosing the post-translational modification, molecular interactions and signaling pathways of proteins precisely, specifically, dynamically and systematically, as well as for identifying novel proteins and their functions. This could be better realized by single-cell proteomic methods than conventional proteomic methods. Using single-cell proteomic tools including flow cytometry, mass cytometry, microfluidics and chip technologies, chemical cytometry, single-cell western blotting, the quantity and functions of proteins are analyzed simultaneously. Aside from deciphering disease mechanisms, single-cell proteomic techniques facilitate the identification and screening of biomarkers, molecular targets and promising compounds as well. This review summarized single-cell proteomic tools and their use in lung cancer.

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  1. Department of Respiratory and Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China

    Zheng Wang & Xiaoju Zhang

  2. Biomedical Research Center, Zhengzhou University People’s Hospital, Zhengzhou, China

    Xiaoju Zhang

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  1. Zheng Wang
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  2. Xiaoju Zhang
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Editors and Affiliations

  1. Henan Provincial People’s Hospital, Zhengzhou, Henan, China

    Jianqin Gu

  2. Shanghai Institute of Clinical Bioinformatics, Zhongshan Hospital, Fudan University, Shanghai, China

    Xiangdong Wang

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© 2018 Springer Nature Singapore Pte Ltd.

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Wang, Z., Zhang, X. (2018). Single Cell Proteomics for Molecular Targets in Lung Cancer: High-Dimensional Data Acquisition and Analysis. In: Gu, J., Wang, X. (eds) Single Cell Biomedicine. Advances in Experimental Medicine and Biology, vol 1068. Springer, Singapore. https://doi.org/10.1007/978-981-13-0502-3_7

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