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Efficient TurboID-based proximate labeling method for identifying terminal sialic acid glycosylation in living cells

ABSTRACT: TurboID, a mutant biotin ligase, based proximity labeling method is a new efficient technique for recognizing protein-protein interactions and has been successfully applied to living cells. Sialic acids are typically the terminal monosaccharides attached to many glycoproteins and play many important roles in many biological processes. However, the lack of enrichment methods for terminal sialic acid glycosylation in vivo hinders the identification and analysis of this glycosylation. Here, we introduced this technique to identify terminal sialic acid glycosylation in living cells. SpCBM, the carbohydrate-binding domain of sialidase from Streptococcus pneumoniae, was fused with TurboID and overexpressed in HeLa cells. After streptavidin-based purification and detection by mass spectrometry (MS), we identified 41 terminal sialic acid N-glycosylated sites and 3065 putative terminal sialic acid glycosylated proteins which many of them were located in cytoplasm and nucleus.

ORGANISM(S): Homo Sapiens

SUBMITTER: Yanting Su

PROVIDER: PXD029556 | iProX | Thu Nov 04 00:00:00 GMT 2021

REPOSITORIES: iProX

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Efficient TurboID-based proximity labelling method for identifying terminal sialic acid glycosylation in living cells.

Liu Wu W Long Yunfeng Y Bao Yongfen Y Li Yang Y Deng Mengxue M Yang Xiuyi X Zhu He H Su Yanting Y

Acta biochimica et biophysica Sinica 20221201 12

TurboID, a proximity labelling method based on mutant biotin ligase, is an efficient new technique for recognizing protein-protein interactions and has been successfully applied to living cells. Sialic acid is typically the terminal monosaccharide attached to many glycoproteins and plays many important roles in many biological processes. However, the lack of enrichment methods for terminal sialic acid glycosylation <i>in vivo</i> hinders the identification and analysis of this glycosylation. Her ...[more]

PMID: 36789692

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Project description:Classical methods of investigating protein-protein interactions (PPIs) are generally performed in non-living systems, yet in recent years new technologies utilizing proximity labeling (PL) have given researchers the tools to explore proximal PPIs in living systems. PL has distinct advantages over traditional protein interactome studies, such as the ability to identify weak and transient interactions in vitro and in vivo. Most PL studies are performed on targets within or on the cell membrane. We have adapted the original PL method to investigate PPIs within the extracellular compartment, using both BioID2 and TurboID, that we term extracellular PL (ePL). To demonstrate the utility of this modified technique, we investigate the interactome of the widely expressed matrisome protein Tissue inhibitors of metalloproteinases 2 (TIMP2). Tissue inhibitors of metalloproteinases (TIMPs) are a family of multi-functional proteins that were initially defined by their ability to inhibit the enzymatic activity of metalloproteinases (MPs), the major mediators of extracellular matrix (ECM) breakdown and turnover. TIMP2 exhibits a broad expression profile and is often abundant in both normal and diseased tissues. Understanding the functional transformation of matrisome regulators, like TIMP2, during the evolution of tissue microenvironments associated with disease progression is essential for the development of ECM targeted therapeutics. Using carboxyl- and amino-terminal fusion proteins of TIMP2 with BioID2 and TurboID, we describe the TIMP2 proximal interactome. We also illustrate how the TIMP2 interactome changes in the presence of different stimuli, in different cell types, in unique culture conditions (2D vs 3D), and with different reaction kinetics (BioID2 vs. TurboID); demonstrating the power of this technique versus classical PPI methods. We propose that the screening of matrisome targets in disease models using ePL will reveal new therapeutic targets for further comprehensive studies.

Project description:Irani2015 - Genome-scale metabolic model of P.pastoris N-glycosylation This model is described in the article: Genome-scale metabolic model of Pichia pastoris with native and humanized glycosylation of recombinant proteins. Irani ZA, Kerkhoven E, Shojaosadati SA, Nielsen J. Biotechnol. Bioeng. 2015 Oct; Abstract: Pichia pastoris is used for commercial production of human therapeutic proteins, and genome-scale models of P. pastoris metabolism have been generated in the past to study the metabolism and associated protein production by this yeast. A major challenge with clinical usage of recombinant proteins produced by P. pastoris is the difference in N-glycosylation of proteins produced by humans and this yeast. However, through metabolic engineering a P. pastoris strain capable of producing humanized N-glycosylated proteins was constructed. The current genome-scale models of P. pastoris do not address native nor humanized N-glycosylation, and we therefore developed ihGlycopastoris, an extension to the iLC915 model with both native and humanized N-glycosylation for recombinant protein production, but also an estimation of N-glycosylation of P. pastoris native proteins. This new model gives a better predictions of protein yield, demonstrates the effect of the different types of N-glycosylation of protein yield, and can be used to predict potential targets for strain improvement. The model represents a step towards a more complete description of protein production in P. pastoris, which is required for using these models to understand and optimize protein production processes. This article is protected by copyright. All rights reserved. This model is hosted on BioModels Database and identified by: MODEL1510220000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Background Plasma proteins can be modified by addition of sugar residues by non-enzymatic glycation as well as glycosylation. While glycation is a hallmark of hyperglycemia, glycosylation is a complex, enzyme-catalyzed post-translational modification by heterogeneous sugar chains and is present on a majority of plasma proteins. N-linked glycosylation occurs on asparagine residues occurring predominantly on a canonical N-glycosylation motif (Asn-X-Ser/Thr) although non-canonical N-glycosylation motifs Asn-X-Cys/Val have also been reported to be glycosylated less frequently. Albumin is the most abundant protein in human plasma whose glycation has been implicated in end-organ damage in advanced diabetes mellitus, and as such, has both diagnostic and therapeutic implications. However, albumin has long been regarded as a non-glycosylated protein owing to the absence of canonical motifs. Albumin contains two non-canonical N-glycosylation motifs, of which one was recently reported to be glycosylated with two possible attached glycans. Methods To investigate N-linked glycosylation of abundant serum proteins in greater detail, we passed healthy donor samples through a multiple affinity removal spin (MARS14) column followed by trypsin digestion of bound proteins and subsequent glycopeptide enrichment by size-exclusion chromatography (SEC) or mixed-mode anion-exchange (MAX), in parallel. Global analysis of intact glycopeptides was performed by LC-MS/MS to evaluate potential glycosylation at canonical as well as non-canonical sites. PNGase F treatment was carried out to confirm N-linked glycosylation at non-canonical sites Asn-X-Cys/Val. Glycopeptides on albumin at non-canonical sites were further characterized by MS3 fragmentation from immunoprecipitated albumin to confirm the attached glycans. To assess if the observed glycosylation was a general phenomenon, targeted analysis using parallel reaction monitoring (PRM) was carried out on an independent set of twenty human serum samples. Finally, to test whether albumin glycosylation is unique to human albumin or is a general phenomenon, bovine and rabbit serum albumins were subjected to MAX chromatography and LC-MS/MS analysis. Results We report that human albumin is modified by N-linked glycosylation at two sites, Asn68(-Glu-Val) and Asn123-(Glu-Cys), both of which occur in non-canonical N-glycosylation motifs. We detected N-glycopeptides at both sites bearing four complex mono- and bi-antennary N-linked glycans, with Hex5HexNAc4NeuAc2 and Hex5HexNAc4NeuAc1 being the most abundant glycans. These findings were validated by analyzing deglycosylated peptides and MS3-based fragmentation of glycopeptides. Glycosylation at both sites was confirmed by targeted MS in twenty donor samples. Finally, we report that the Asn residue on bovine and rabbit serum albumins that corresponds to the highly conserved Asn123 in human albumin is also N-glycosylated with complex sialylated glycans similar to those observed in human albumin. Conclusions Albumin is a conserved glycoprotein with multiple N-linked glycosylation sites. This glycosylation of albumin has potential functional implications and applications in medicine.

Dataset Information

Efficient TurboID-based proximate labeling method for identifying terminal sialic acid glycosylation in living cells

Publications

Efficient TurboID-based proximity labelling method for identifying terminal sialic acid glycosylation in living cells.

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