Dataset Information

Cellular proteomic profiling using proximity labelling by TurboID-NES in microglial and neuronal cell lines.

ABSTRACT: Different brain cell types play distinct roles in brain development and disease via cellular mechanisms. Molecular characterization of these cellular mechanisms using cell type-specific approaches, particularly at the protein (proteomic) level, can provide biological and therapeutic insights. Conventional approaches to investigate cell type-specific proteomes from brain pose several technical barriers. To overcome these, in vivo proteomic labeling with proximity dependent biotinylation of cytosolic proteins using TurboID with a Nuclear Export Sequence (TurboID-NES), coupled with mass spectrometry (MS) of labeled proteins, has emerged as a powerful strategy to sample cell type-specific proteomes in the native state of cells without need for cellular isolation. To complement in vivo proximity labeling approaches, in vitro studies are needed to ensure that cellular proteomes using the TurboID-NES approach are representative of the whole cell proteome, and capture cellular responses to stimuli without disruption of cellular processes. We generated murine neuroblastoma (N2A) and microglial (BV2) lines stably expressing TurboID-NES to biotinylate the cellular proteome for downstream purification and analysis using MS. TurboID-NES expression and biotinylation did not significantly impact homeostatic cellular proteomes of BV2 and N2A cells, and did not affect cytokine production or mitochondrial respiration of BV2 cells under resting or lipopolysaccharide (LPS)-stimulated conditions. TurboID-NES mediated biotinylation captured 59% of BV2 and 65% of N2A proteomes under resting conditions. Acute LPS treatment significantly altered microglial proteomes, but not N2A proteomes, and the LPS effect was partly captured by analysis of the TurboID-NES-labeled proteome of BV2 cells.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Cell Culture

DISEASE(S): Inflammation

SUBMITTER: Sydney Sunna

LAB HEAD: Srikant Rangaraju

PROVIDER: PXD036744 | Pride | 2023-03-11

REPOSITORIES: Pride

ACCESS DATA

Similar Datasets

Project description:Identifying specific protein interactors and spatially or temporally restricted local proteomes contributes significantly to our understanding of cellular processes in virtually all aspects of life. Obtaining such data is challenging, especially when the protein, cell type or event of interest is rare. In recent years, different proximity labeling techniques have been developed that have greatly improved our ability to tackle these questions. However, while effective in mammalian systems, use in plants has been extremely limited due to technical challenges. Recent technological improvements in the form of two highly active versions of the biotin ligase BirA* (TurboID and miniTurboID), prompted us to test this new system on two challenging but widely asked questions in plants: what are interaction partners of low-abundant proteins and what are organellar proteomes in rare and transient cell types. To address the second question, we used nuclei of developing stomatal guard cells, which express the transcription factor FAMA, as our test case. FAMA is a master regulator of guard cell development and promotes terminal differentiation of the guard cell precursor by both activating and repressing hundreds of genes. FAMA-expressing young guard cells are rare and restricted to the epidermis of developing aerial tissues, which makes them a good model system to test TurboID applicability under material-limiting conditions. For this experiment, young Arabidopsis seedlings expressing nuclear TurboID under the FAMA or UBIQUITIN10 (UBQ10) promoter were treated with biotin to label nuclear proteomes. Col-0 wild type was used as controls for unspecific binding of proteins to the beads. Biotinylated proteins were isolated by affinity purification with streptavidin-coupled beads and identified by LC-MS/MS. By targeting TurboID to the nucleus we were able to purify nuclear proteins with relatively high specificity. Enrichment of FAMA-stage specific proteins, when nuclear TurboID was driven by the FAMA compared to the UBQ10 promoter, supports general applicability of TurboID for identification of subcellular proteomes.

Project description:Identifying specific protein interactors and spatially or temporally restricted local proteomes contributes significantly to our understanding of cellular processes in virtually all aspects of life. Obtaining such data is challenging, especially when the protein, cell type or event of interest is rare. In recent years, different proximity labeling techniques have been developed that have greatly improved our ability to tackle these questions. However, while effective in mammalian systems, use in plants has been extremely limited due to technical challenges. Recent technological improvements in the form of two highly active versions of the biotin ligase BirA* (TurboID and miniTurboID), prompted us to test this new system on two challenging but widely asked questions in plants: what are interaction partners of low-abundant proteins and what are organellar proteomes in rare and transient cell types. To address the first question, we used the transcription factor FAMA as a test case. FAMA is a master regulator of guard cell development and promotes terminal differentiation of the guard cell precursor by both activating and repressing hundreds of genes. FAMA-expressing young guard cells are rare and restricted to the epidermis of developing aerial tissues, which makes them a good model system to test TurboID applicability under material-limiting conditions. For this experiment, young Arabidopsis seedlings expressing FAMA-TurboID were treated with biotin to label FAMA complexes. Col-0 wild type and seedlings expressing nuclear TurboID under the FAMA promoter were used as controls for unspecific binding of proteins to the beads and stochastic labeling of nuclear proteins, respectively. Biotinylated proteins were isolated by affinity purification with streptavidin-coupled beads and identified by LC-MS/MS. Analysis of proteins labeled by FAMA-TurboID fusions revealed known interactors of this late stomatal lineage specific transcription factor, as well as novel proteins that could explain its dual function as an activator and repressor. Comparison with proteins obtained from classical co-immunoprecipitation approaches with FAMA showed that proximity labeling is superior for identification of meaningful interaction partners of low-abundant proteins.

Dataset Information

Cellular proteomic profiling using proximity labelling by TurboID-NES in microglial and neuronal cell lines.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure