AI Article Synopsis

  • The central nervous system (CNS) is made up of complex cells, including neurons and astrocytes, whose protein expressions are crucial for understanding their functions.
  • Traditional methods for studying these proteins involve breaking down the cells, which leads to the loss of important cellular structures and their associated proteins.
  • The new protocol uses a system called BioID2 to label proteins in intact neurons and astrocytes, allowing for the identification of proteins in specific subcellular compartments, improving research accuracy in both normal and disease states.

Article Abstract

The central nervous system (CNS) comprises diverse and morphologically complex cells. To understand the molecular basis of their physiology, it is crucial to assess proteins expressed within intact cells. Commonly used methods utilize cell dissociation and sorting to isolate specific cell types such as neurons and astrocytes, the major CNS cells. Proteins purified from isolated cells are identified by mass spectrometry-based proteomics. However, dissociation and cell-sorting methods lead to near total loss of cellular morphology, thereby losing proteins from key relevant subcompartments such as processes, end feet, dendrites and axons. Here we provide a systematic protocol for cell- and subcompartment-specific labeling and identification of proteins found within intact astrocytes and neurons in vivo. This protocol utilizes the proximity-dependent biotinylation system BioID2, selectively expressed in either astrocytes or neurons, to label proximal proteins in a cell-specific manner. BioID2 is targeted genetically to assess the subproteomes of subcellular compartments such as the plasma membrane and sites of cell-cell contacts. We describe in detail the expression methods (variable timing), stereotaxic surgeries for expression (1-2 d and then 3 weeks), in vivo protein labeling (7 d), protein isolation (2-3 d), protein identification methods (2-3 d) and data analysis (1 week). The protocol can be applied to any area of the CNS in mouse models of physiological processes and for disease-related research.

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Source
http://dx.doi.org/10.1038/s41596-023-00923-7DOI Listing

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