Dataset Information

A COFRADIC protocol to study protein ubiquitination

ABSTRACT: We here apply the COmbined FRActional DIagonal Chromatography (COFRADIC) technology to enrich for ubiquitinated peptides and identify sites of ubiquitination by mass spectrometry. Our technology bypasses the need to ectopically overexpress tagged variants of ubiquitin and the use of sequence-biased antibodies recognizing ubiquitin remnants. In brief, all protein primary amino groups are blocked by chemical acetylation after which ubiquitin chains are proteolytically and specifically removed by the catalytic core domain of the USP2 deubiquitinase (USP2cc). As USP2cc cleaves the isopeptidyl bond between the ubiquitin C-terminus and the ɛ-amino group of the ubiquitinated lysine, this enzyme re-introduces primary ɛ-amino groups in proteins. These amino groups are then chemically modified with a handle that allows specific isolation of ubiquitinated peptides during subsequent COFRADIC chromatographic runs. Our method allowed us to identify over 8,200 endogenous ubiquitination sites in more than 3,600 different proteins in a native human Jurkat cell lysate.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Suspension Culture, T Cell

SUBMITTER: Elisabeth Stes

LAB HEAD: Kris Gevaert

PROVIDER: PXD000934 | Pride | 2016-07-08

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	E03860_2_3595_Ub2_Cofradic_QE_1.raw	Raw
	E03861_2_3595_Ub2_Cofradic_QE_2.raw	Raw
	E03862_2_3595_Ub2_Cofradic_QE_3.raw	Raw
	E03863_2_3595_Ub2_Cofradic_QE_4.raw	Raw
	E03864_2_3595_Ub2_Cofradic_QE_5.raw	Raw

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A COFRADIC protocol to study protein ubiquitination.

Stes Elisabeth E Laga Mathias M Walton Alan A Samyn Noortje N Timmerman Evy E De Smet Ive I Goormachtig Sofie S Gevaert Kris K

Journal of proteome research 20140520 6

Here, we apply the COmbined FRActional DIagonal Chromatography (COFRADIC) technology to enrich for ubiquitinated peptides and to identify sites of ubiquitination by mass spectrometry. Our technology bypasses the need to overexpress tagged variants of ubiquitin and the use of sequence-biased antibodies recognizing ubiquitin remnants. In brief, all protein primary amino groups are blocked by chemical acetylation, after which ubiquitin chains are proteolytically and specifically removed by the cata ...[more]

PMID: 24816145

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Project description:Proctor2007 - Age related decline of proteolysis, ubiquitin-proteome system This is a stochastic model of the ubiquitin-proteasome system for a generic pool of native proteins (NatP), which have a half-life of about 10 hours under normal conditions. It is assumed that these proteins are only degraded after they have lost their native structure due to a damage event. This is represented in the model by the misfolding reaction which depends on the level of reactive oxygen species (ROS) in the cell. Misfolded proteins (MisP) are first bound by an E3 ubiquitin ligase. Ubiquitin (Ub) is activated by E1 (ubiquitin-activating enzyme) and then passed to E2 (ubiquitin-conjugating enzyme). The E2 enzyme then passes the ubiquitin molecule to the E3/MisP complex with the net effect that the misfolded protein is monoubiquitinated and both E2 and E3 are released. Further ubiquitin molecules are added in a step-wise manner. When the chain of ubiquitin molecules is of length 4 or more, the polyubiquitinated misfolded protein may bind to the proteasome. The model also includes de-ubiquitinating enzymes (DUB) which cleave ubiquitin molecules from the chain in a step-wise manner. They work on chains attached to misfolded proteins both unbound and bound to the proteasomes. Misfolded proteins bound to the proteasome may be degraded releasing ubiquitin. Misfolded proteins including ubiquitinated proteins may also aggregate. Aggregates (AggP) may be sequestered (Seq_AggP) which takes them out of harm's way or they may bind to the proteasome (AggP_Proteasome). Proteasomes bound by aggregates are no longer available for protein degradation. Figure 2 and Figure 3 has been simulated using Gillespie2. This model is described in the article: An in silico model of the ubiquitin-proteasome system that incorporates normal homeostasis and age-related decline. Proctor CJ, Tsirigotis M, Gray DA. BMC Syst Biol 2007; 1: 17 Abstract: BACKGROUND: The ubiquitin-proteasome system is responsible for homeostatic degradation of intact protein substrates as well as the elimination of damaged or misfolded proteins that might otherwise aggregate. During ageing there is a decline in proteasome activity and an increase in aggregated proteins. Many neurodegenerative diseases are characterised by the presence of distinctive ubiquitin-positive inclusion bodies in affected regions of the brain. These inclusions consist of insoluble, unfolded, ubiquitinated polypeptides that fail to be targeted and degraded by the proteasome. We are using a systems biology approach to try and determine the primary event in the decline in proteolytic capacity with age and whether there is in fact a vicious cycle of inhibition, with accumulating aggregates further inhibiting proteolysis, prompting accumulation of aggregates and so on. A stochastic model of the ubiquitin-proteasome system has been developed using the Systems Biology Mark-up Language (SBML). Simulations are carried out on the BASIS (Biology of Ageing e-Science Integration and Simulation) system and the model output is compared to experimental data wherein levels of ubiquitin and ubiquitinated substrates are monitored in cultured cells under various conditions. The model can be used to predict the effects of different experimental procedures such as inhibition of the proteasome or shutting down the enzyme cascade responsible for ubiquitin conjugation. RESULTS: The model output shows good agreement with experimental data under a number of different conditions. However, our model predicts that monomeric ubiquitin pools are always depleted under conditions of proteasome inhibition, whereas experimental data show that monomeric pools were depleted in IMR-90 cells but not in ts20 cells, suggesting that cell lines vary in their ability to replenish ubiquitin pools and there is the need to incorporate ubiquitin turnover into the model. Sensitivity analysis of the model revealed which parameters have an important effect on protein turnover and aggregation kinetics. CONCLUSION: We have developed a model of the ubiquitin-proteasome system using an iterative approach of model building and validation against experimental data. Using SBML to encode the model ensures that it can be easily modified and extended as more data become available. Important aspects to be included in subsequent models are details of ubiquitin turnover, models of autophagy, the inclusion of a pool of short-lived proteins and further details of the aggregation process. This model is hosted on BioModels Database and identified by: BIOMD0000000105. 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.