Literature DB >> 35315655

Deep Single-Cell-Type Proteome Profiling of Mouse Brain by Nonsurgical AAV-Mediated Proximity Labeling.

Xiaojun Sun1,2, Huan Sun1,2, Xian Han1,2,3, Ping-Chung Chen1,2, Yun Jiao1,2, Zhiping Wu1,2, Xue Zhang1,2, Zhen Wang1,2, Mingming Niu1,2, Kaiwen Yu1,2, Danting Liu1,2, Kaushik Kumar Dey1,2, Ariana Mancieri1,2, Yingxue Fu1,2, Ji-Hoon Cho4, Yuxin Li4, Suresh Poudel4, Tess C Branon5, Alice Y Ting5, Junmin Peng1,2,4.   

Abstract

Proteome profiling is a powerful tool in biological and biomedical studies, starting with samples at bulk, single-cell, or single-cell-type levels. Reliable methods for extracting specific cell-type proteomes are in need, especially for the cells (e.g., neurons) that cannot be readily isolated. Here, we present an innovative proximity labeling (PL) strategy for single-cell-type proteomics of mouse brain, in which TurboID (an engineered biotin ligase) is used to label almost all proteins in a specific cell type. This strategy bypasses the requirement of cell isolation and includes five major steps: (i) constructing recombinant adeno-associated viruses (AAVs) to express TurboID driven by cell-type-specific promoters, (ii) delivering the AAV to mouse brains by direct intravenous injection, (iii) enhancing PL labeling by biotin administration, (iv) purifying biotinylated proteins, followed by on-bead protein digestion, and (v) quantitative tandem-mass-tag (TMT) labeling. We first confirmed that TurboID can label a wide range of cellular proteins in human HEK293 cells and optimized the single-cell-type proteomic pipeline. To analyze specific brain cell types, we generated recombinant AAVs to coexpress TurboID and mCherry proteins, driven by neuron- or astrocyte-specific promoters and validated the expected cell expression by coimmunostaining of mCherry and cellular markers. Subsequent biotin purification and TMT analysis identified ∼10,000 unique proteins from a few micrograms of protein samples with excellent reproducibility. Comparative and statistical analyses indicated that these PL proteomes contain cell-type-specific cellular pathways. Although PL was originally developed for studying protein-protein interactions and subcellular proteomes, we extended it to efficiently tag the entire proteomes of specific cell types in the mouse brain using TurboID biotin ligase. This simple, effective in vivo approach should be broadly applicable to single-cell-type proteomics.

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Year:  2022        PMID: 35315655      PMCID: PMC9350993          DOI: 10.1021/acs.analchem.1c05212

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   8.008


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4.  Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer's Disease Progression.

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Review 9.  Deciphering molecular interactions by proximity labeling.

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Journal:  Front Plant Sci       Date:  2022-08-16       Impact factor: 6.627

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