A Proteome-wide, Quantitative Survey of In Vivo Ubiquitylation Sites Reveals Widespread Regulatory Roles
01 Oct 2011-Molecular & Cellular Proteomics (American Society for Biochemistry and Molecular Biology)-Vol. 10, Iss: 10
TL;DR: This work combines single-step immunoenrichment of ubiquitylated peptides with peptide fractionation and high-resolution mass spectrometry to investigate endogenous ubiquitylation sites, and for the first time demonstrates proteome-wide, site-specific quantification of endogenous putative ubiquitylations sites.
About: This article is published in Molecular & Cellular Proteomics.The article was published on 2011-10-01 and is currently open access. It has received 854 citations till now. The article focuses on the topics: Ubiquitin.
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TL;DR: These emerging findings point to new functions for different lysine acylations and deacylating enzymes and also highlight the mechanisms by which acetylation regulates various cellular processes.
Abstract: Lysine acetylation is a conserved protein post-translational modification that links acetyl-coenzyme A metabolism and cellular signalling. Recent advances in the identification and quantification of lysine acetylation by mass spectrometry have increased our understanding of lysine acetylation, implicating it in many biological processes through the regulation of protein interactions, activity and localization. In addition, proteins are frequently modified by other types of acylations, such as formylation, butyrylation, propionylation, succinylation, malonylation, myristoylation, glutarylation and crotonylation. The intricate link between lysine acylation and cellular metabolism has been clarified by the occurrence of several such metabolite-sensitive acylations and their selective removal by sirtuin deacylases. These emerging findings point to new functions for different lysine acylations and deacylating enzymes and also highlight the mechanisms by which acetylation regulates various cellular processes.
1,086 citations
TL;DR: Structural and topological analysis revealed extensive conservation of PARKIN-dependent ubiquitylation sites on cytoplasmic domains in vertebrate and Drosophila melanogaster MOM proteins, providing a resource for understanding how the PINK1–PARKIN pathway re-sculpts the proteome to support mitochondrial homeostasis.
Abstract: The PARKIN ubiquitin ligase (also known as PARK2) and its regulatory kinase PINK1 (also known as PARK6), often mutated in familial early-onset Parkinson's disease, have central roles in mitochondrial homeostasis and mitophagy. Whereas PARKIN is recruited to the mitochondrial outer membrane (MOM) upon depolarization via PINK1 action and can ubiquitylate porin, mitofusin and Miro proteins on the MOM, the full repertoire of PARKIN substrates--the PARKIN-dependent ubiquitylome--remains poorly defined. Here we use quantitative diGly capture proteomics (diGly) to elucidate the ubiquitylation site specificity and topology of PARKIN-dependent target modification in response to mitochondrial depolarization. Hundreds of dynamically regulated ubiquitylation sites in dozens of proteins were identified, with strong enrichment for MOM proteins, indicating that PARKIN dramatically alters the ubiquitylation status of the mitochondrial proteome. Using complementary interaction proteomics, we found depolarization-dependent PARKIN association with numerous MOM targets, autophagy receptors, and the proteasome. Mutation of the PARKIN active site residue C431, which has been found mutated in Parkinson's disease patients, largely disrupts these associations. Structural and topological analysis revealed extensive conservation of PARKIN-dependent ubiquitylation sites on cytoplasmic domains in vertebrate and Drosophila melanogaster MOM proteins. These studies provide a resource for understanding how the PINK1-PARKIN pathway re-sculpts the proteome to support mitochondrial homeostasis.
839 citations
TL;DR: Multiple upstream pathways regulate FOXO activity through post-translational modifications and nuclear–cytoplasmic shuttling of both FOXO and its regulators, suggesting that they function as homeostasis regulators to maintain tissueHomeostasis over time and coordinate a response to environmental changes.
Abstract: Forkhead box O (FOXO) transcription factors are involved in the regulation of the cell cycle, apoptosis and metabolism. In model organisms, FOXO activity also affects stem cell maintenance and lifespan as well as age-related diseases, such as cancer and diabetes. Multiple upstream pathways regulate FOXO activity through post-translational modifications and nuclear-cytoplasmic shuttling of both FOXO and its regulators. The diversity of this upstream regulation and the downstream effects of FOXOs suggest that they function as homeostasis regulators to maintain tissue homeostasis over time and coordinate a response to environmental changes, including growth factor deprivation, metabolic stress (starvation) and oxidative stress.
838 citations
TL;DR: The combinatorial use of diverse ubiquitin-binding domains (UBDs) in full-length proteins, selective recognition of chains with distinct linkages and length, and posttranslational modifications of Ubiquitin receptors or multivalent interactions within protein complexes illustrate a few mechanisms by which a circuitry of signaling networks can be rewired by ubiquitIn-binding proteins to control cellular functions in vivo.
Abstract: Ubiquitin acts as a versatile cellular signal that controls a wide range of biological processes including protein degradation, DNA repair, endocytosis, autophagy, transcription, immunity, and inflammation. The specificity of ubiquitin signaling is achieved by alternative conjugation signals (monoubiquitin and ubiquitin chains) and interactions with ubiquitin-binding proteins (known as ubiquitin receptors) that decode ubiquitinated target signals into biochemical cascades in the cell. Herein, we review the current knowledge pertaining to the structural and functional features of ubiquitin-binding proteins and the mechanisms by which they recognize various types of ubiquitin topologies. The combinatorial use of diverse ubiquitin-binding domains (UBDs) in full-length proteins, selective recognition of chains with distinct linkages and length, and posttranslational modifications of ubiquitin receptors or multivalent interactions within protein complexes illustrate a few mechanisms by which a circuitry of signaling networks can be rewired by ubiquitin-binding proteins to control cellular functions in vivo.
651 citations
TL;DR: MS-based proteomics is starting to mature and to deliver through a combination of developments in instrumentation, sample preparation and computational analysis, and to highlight recent applications.
Abstract: Next-generation sequencing allows the analysis of genomes, including those representing disease states. However, the causes of most disorders are multifactorial, and systems-level approaches, including the analysis of proteomes, are required for a more comprehensive understanding. The proteome is extremely multifaceted owing to splicing and protein modifications, and this is further amplified by the interconnectivity of proteins into complexes and signalling networks that are highly divergent in time and space. Proteome analysis heavily relies on mass spectrometry (MS). MS-based proteomics is starting to mature and to deliver through a combination of developments in instrumentation, sample preparation and computational analysis. Here we describe this emerging next generation of proteomics and highlight recent applications.
645 citations
References
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TL;DR: By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
Abstract: DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
31,015 citations
TL;DR: MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data, detects peaks, isotope clusters and stable amino acid isotope–labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space and achieves mass accuracy in the p.p.b. range.
Abstract: Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
12,340 citations
"A Proteome-wide, Quantitative Surve..." refers methods in this paper
...Ubiquitylated peptides were identified using MaxQuant....
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...Peptide Identification and Computational Analysis—Raw data files were analyzed using MaxQuant software (version 1.1.1.17) as described (29)....
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...Computational analysis was performed using MaxQuant (29), allowing a maximum false discovery rate of 1% at peptide and protein Proteome-wide Mapping of Endogenous Ubiquitylation Sites...
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...Peak lists were generated using MaxQuant (development version 1.0.14.3), and database searches were performed using Mascot search engine....
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...Site localization probabilities were determined by MaxQuant using PTM scoring algorithm as described previously (29, 31)....
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TL;DR: In this paper, it was shown that a simple FDR controlling procedure for independent test statistics can also control the false discovery rate when test statistics have positive regression dependency on each of the test statistics corresponding to the true null hypotheses.
Abstract: Benjamini and Hochberg suggest that the false discovery rate may be the appropriate error rate to control in many applied multiple testing problems. A simple procedure was given there as an FDR controlling procedure for independent test statistics and was shown to be much more powerful than comparable procedures which control the traditional familywise error rate. We prove that this same procedure also controls the false discovery rate when the test statistics have positive regression dependency on each of the test statistics corresponding to the true null hypotheses. This condition for positive dependency is general enough to cover many problems of practical interest, including the comparisons of many treatments with a single control, multivariate normal test statistics with positive correlation matrix and multivariate $t$. Furthermore, the test statistics may be discrete, and the tested hypotheses composite without posing special difficulties. For all other forms of dependency, a simple conservative modification of the procedure controls the false discovery rate. Thus the range of problems for which a procedure with proven FDR control can be offered is greatly increased.
9,335 citations
"A Proteome-wide, Quantitative Surve..." refers methods in this paper
...p values were calculated using nonpaired Wilcox test and adjusted for multiple comparisons (34)....
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TL;DR: The protein kinase complement of the human genome is catalogued using public and proprietary genomic, complementary DNA, and expressed sequence tag sequences to provide a starting point for comprehensive analysis of protein phosphorylation in normal and disease states and a detailed view of the current state of human genome analysis through a focus on one large gene family.
Abstract: We have catalogued the protein kinase complement of the human genome (the "kinome") using public and proprietary genomic, complementary DNA, and expressed sequence tag (EST) sequences. This provides a starting point for comprehensive analysis of protein phosphorylation in normal and disease states, as well as a detailed view of the current state of human genome analysis through a focus on one large gene family. We identify 518 putative protein kinase genes, of which 71 have not previously been reported or described as kinases, and we extend or correct the protein sequences of 56 more kinases. New genes include members of well-studied families as well as previously unidentified families, some of which are conserved in model organisms. Classification and comparison with model organism kinomes identified orthologous groups and highlighted expansions specific to human and other lineages. We also identified 106 protein kinase pseudogenes. Chromosomal mapping revealed several small clusters of kinase genes and revealed that 244 kinases map to disease loci or cancer amplicons.
7,486 citations
TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
5,653 citations
"A Proteome-wide, Quantitative Surve..." refers methods in this paper
...For SILAC labeling, cells were cultured in media containing either L-arginine and L-lysine or L-arginine-U-(13)C6(15)N4 and L-lysine-U(13)C6(15)N2 (Cambridge Isotope Laboratories, Andover, MA) as described previously (20)....
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