Dataset Information

Glycosylation analysis of TNF-alpha-induced insulin resistance

ABSTRACT: Glycoproteomics, TNF-alpha, membrane proteomics, insulin resistance, adipocyte, SILAC Insulin resistance (IR) is a complex process arising from both environmental and genetic perturbations and leads to a variety of diseases including type-2 diabetes (T2D). The expansion of adipose tissue during obesity results in secretion of proinflammatory cytokines which significantly impairs insulin sensitivity throughout the entire body. Inflammation modulates glycosylation in a variety of cell types however, an investigation of changes in glycosylation following inflammation-induced IR in adipocytes has not been performed. In the present study, we performed a quantitative N-glycomic analysis of TNF-alpha induced IR in adipocytes and identified the regulation of specific N-glycans including an increase in terminal di-galactose- and decrease in di-sialic acid-containing glycans with alpha-2,3 linkages. Quantitative analysis of the membrane-associated proteome in TNF-alpha treated adipocytes identified the regulation of specific glycosyltransferases and glycosidases which correlated with the regulated N-glycans. This included the up- and down-regulation of B4GalT5 and ST3Gal6, respectively at both the protein and mRNA level. To identify the protein and glycosylation sites modified with these regulated N-glycans, we performed a site-specific quantitative glycoproteomic analysis of enriched N-glycopeptides from TNF-alpha treated adipocytes with and without deglycosylation. The combined workflow provided a relative quantification of changes in protein abundance verses N-glycosylation occupancy verses site-specific N-glycans on a proteome-wide level. This revealed the modulation of a subset of N-glycan compositions on specific proteins including those previously associated with insulin-stimulated GLUT4 trafficking to the plasma membrane. Finally, knockdown of B4GalT5 with siRNA and analysis of released N-glycans resulted in the down-regulation of di-galactose containing glycans, confirming the involvement of this enzyme in the TNF-alpha regulated N-glycome.

INSTRUMENT(S): Orbitrap Fusion ETD, Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Fat Cell

SUBMITTER: Benjamin Parker

LAB HEAD: Benjamin Parker

PROVIDER: PXD002435 | Pride | 2015-11-09

REPOSITORIES: Pride

ACCESS DATA

Publications

Terminal Galactosylation and Sialylation Switching on Membrane Glycoproteins upon TNF-Alpha-Induced Insulin Resistance in Adipocytes.

Parker Benjamin L BL Thaysen-Andersen Morten M Fazakerley Daniel J DJ Holliday Mira M Packer Nicolle H NH James David E DE

Molecular & cellular proteomics : MCP 20151104 1

Insulin resistance (IR) is a complex pathophysiological state that arises from both environmental and genetic perturbations and leads to a variety of diseases, including type-2 diabetes (T2D). Obesity is associated with enhanced adipose tissue inflammation, which may play a role in disease progression. Inflammation modulates protein glycosylation in a variety of cell types, and this has been associated with biological dysregulation. Here, we have examined the effects of an inflammatory insult on ...[more]

PMID: 26537798

Similar Datasets

Project description:Adipocytes are dynamic cells that have critical functions to maintain body energy homeostasis. Function of adipocyte is affected by adipogenic differentiation, and exogenous stimulation of biochemical factors such as serotonin and TNF-. Serotonin (5-hydroxytriptamine, 5-HT) is a biogenic monoamine, which known to be involved in lipid metabolism in adipocytes. The TNF- is a proinflammatory cytokines involved in adipocyte biology. Here we investigated the global transcriptome alterations of porcine intramuscular adipocytes at undifferentiated preadipocyte, differentiated adipocytes state, and adipocytes after stimulation with serotonin and TNF- for 12 h by using Agilent’s Porcine (V2) one-color Gene Expression Microarray 4 × 44. Transcriptome analysis revealed that the expression of 443, 261, and 249 genes were altered after differentiation, and after serotonin and TNF- stimulation, respectively. Differentiation process of adipocytes are found to be involved with expression changes of APP, HNF4A, ESR1, EGR1, SRC, HNF1A, FN1, ALB, STAT3, CBL, CEBPB, AR, FOS, CFTR, PAN2, PTPN6, VDR, PPARG, STAT5A and NCOA3 genes which are enriched in the ‘PPAR signaling pathway’ and ‘insulin resistance pathway’. Dose-dependent serotonin stimulation resulted in a decreased fat accumulation in the adipocytes as well as decreased adipocyte proliferation. Serotonin-induced differentially expressed genes in adipocytes were participated in the significant enrichment of GPCR ligand-binding, Cell chemotaxis, blood coagulation and complement pathways, metabolism of lipid and lipoproteins, regulation of lipid metabolism by PPARA; and lipid digestion, mobilization and transport pathways. TNF-α-induced transcriptional modification follows the similar trend, and alteration of many genes shared between both serotonin- and TNF-α stimulations. Our results provide new insights of transcriptome modifications associated with adipogenesis, and exogenous stimulation of serotonin- and TNF- to the porcine intramuscular adipocytes.

Project description:This model is from the article: Mechanistic explanations for counter-intuitive phosphorylation dynamics of the insulin receptor and insulin receptor substrate-1 in response to insulin in murine adipocytes. Nyman E, Fagerholm S, Jullesson D, Strålfors P, Cedersund G. FEBS J. 2012 Jan 16. 22248283 , Abstract: Insulin signaling through insulin receptor (IR) and insulin receptor substrate-1 (IRS1) is important for insulin control of target cells. We have previously demonstrated a rapid and simultaneous overshoot behavior in the phosphorylation dynamics of IR and IRS1 in human adipocytes. Herein, we demonstrate that in murine adipocytes a similar overshoot behavior is not simultaneous for IR and IRS1. The peak of IRS1 phosphorylation, which is a direct consequence of the phosphorylation and the activation of IR, occurs earlier than the peak of IR phosphorylation. We used a conclusive modeling framework to unravel the mechanisms behind this counter-intuitive order of phosphorylation. Through a number of rejections, we demonstrate that two fundamentally different mechanisms may create the reversed order of peaks: (i) two pools of phosphorylated IR, where a large pool of internalized IR peaks late, but phosphorylation of IRS1 is governed by a small plasma membrane-localized pool of IR with an early peak, or (ii) inhibition of the IR-catalyzed phosphorylation of IRS1 by negative feedback. Although (i) may explain the reversed order, this two-pool hypothesis alone requires extensive internalization of IR, which is not supported by experimental data. However, with the additional assumption of limiting concentrations of IRS1, (i) can explain all data. Also, (ii) can explain all available data. Our findings illustrate how modeling can potentiate reasoning, to help draw nontrivial conclusions regarding competing mechanisms in signaling networks. Our work also reveals new differences between human and murine insulin signaling. Database The mathematical model described here has been submitted to the Online Cellular Systems Modelling Database and can be accessed at http://jjj.biochem.sun.ac.za/database/nyman/index.html free of charge.

Project description:The majority of cell surface and secreted proteins are modified by glycans and this glycosylation process plays an important role in the development of multicellular organisms. These glycan modifications enable communication between cells and the extracellular matrix via interactions with specific glycan-binding lectins and the regulation of receptor-mediated signalling. Glycosylation plays an important role in myogenesis and the development of muscle tissue but our molecular understanding of the precise glycans, catalytic enzymes and lectins involved remain only partially understood. Here, we quantified dynamic remodeling of the membrane-associated proteome during in vitro myogenesis. We observed wide-spread changes in the abundance of several receptors and important enzymes regulating glycosylation. Quantification of released N-linked glycans via glycomic analysis confirmed remodeling of the glycome with a switch in sialic acid linkages, and changes in di-galactosylation and paucimannosylation. Quantitative glycoproteomic analysis with stable isotope labelling, enrichment of glycopeptides and analysis via multiple fragmentation approaches identified precise glycoproteins containing these regulated glycans including integrins and growth factor receptors. Myogenesis was also associated with the regulation of several lectins including the up-regulation of Galectin-1 (LGALS1). CRISPR/Cas9-mediated deletion of Lgals1 inhibited differentiation and myotube formation suggesting an early defect in the myogenic program. We also observed similar changes in N-glycosylation and the up-regulation of LGALS1 during postnatal skeletal muscle development in mice. Finally, treatment of new-born mice with recombinant adeno-associated viruses to express LGALS1 in the musculature resulted in enhanced muscle mass. Our data will be a valuable resource to further understand the role of glycosylation and lectins on myogenesis and may aid in the development of intervention strategies aimed at promoting healthy muscle.

Dataset Information

Glycosylation analysis of TNF-alpha-induced insulin resistance

Publications

Terminal Galactosylation and Sialylation Switching on Membrane Glycoproteins upon TNF-Alpha-Induced Insulin Resistance in Adipocytes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure