Molecularly-guided spatial proteomics captures single-cell identity and heterogeneity of the nervous system

Output Details

Single-cell proteomics is an emerging field with significant potential to characterize heterogeneity within biological tissues. It offers complementary insights to single-cell transcriptomics by revealing unbiased proteomic changes downstream of the transcriptome. Recent advancements have focused on enhancing proteome coverage and depth, mostly in cultured cell lines, and a few recent studies have explored the potential of analyzing tissue micro-samples but were limited to homogenous peripheral tissues. In this current work, we utilize the power of spatial single cell-proteomics through immunostaining-guided laser capture microdissection (LCM) coupled with LC-MS to investigate the heterogenous central nervous system. We used this method to compare neuronal populations from cortex and substantia nigra, two brain regions associated with motor and cognitive function and various neurological disorders. Moreover, we used the technique to understand the neuroimmune changes associated with stab wound injury. Finally, we focus our application on the peripheral nervous system, where we compare the proteome of the myenteric plexus cell ganglion to the nerve bundle. This study demonstrates the utility of spatial single-cell proteomics in neuroscience research toward understanding fundamental biology and the molecular drivers of neurological conditions.
Tags
  • Central Nervous System (CNS)
  • Laser capture microdissection (LCM)
  • Mass spectrometry
  • Mouse
  • PNS (Peripheral Nervous System)
  • Proteomics
  • Single-cell analysis

Meet the Authors

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    Sayan Dutta, PhD

    Key Personnel: Team Gradinaru

    California Institute of Technology

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    Marion Pang

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    Gerard Coughlin, BSc

    Key Personnel: Team Gradinaru

    California Institute of Technology

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    Sirisha Gudavalli

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    Michael L Roukes

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    Tsui-Fen Chou

  • Viviana Gradinaru, PhD

    Lead PI (Core Leadership): Team Gradinaru

    California Institute of Technology