An Integrated Mass Spectrometry-based Proteomic Approach

Robust co-regulation of tyrosine phosphorylation sites on proteins reveals novel protein interactions

Cell signaling networks propagate information from extracellular cues via dynamic modulation of protein-protein interactions in a context-dependent manner. Networks based on receptor tyrosine kinases (RTKs), for example, phosphorylate intracellular proteins in response to extracellular ligands, resulting in dynamic protein-protein interactions that drive phenotypic changes. Most commonly used methods for discovering these protein-protein interactions, however, are optimized for detecting stable, longer-lived complexes, rather than the type of transient interactions that are essential components of dynamic signaling networks such as those mediated by RTKs. Substrate phosphorylation downstream of RTK activation modifies substrate activity and induces phospho-specific binding interactions, resulting in the formation of large transient macromolecular signaling complexes. Since protein complex formation should follow the trajectory of events that drive it, we reasoned that mining phosphoproteomic datasets for highly similar dynamic behavior of measured phosphorylation sites on different proteins could be used to predict novel, transient protein-protein interactions that had not been previously identified. We applied this method to explore signaling events downstream of EGFR stimulation. Our computational analysis of robustly co-regulated phosphorylation sites, based on multiple clustering analysis of quantitative time-resolved mass-spectrometry phosphoproteomic data, not only identified known sitewise-specific recruitment of proteins to EGFR, but also predicted novel, a priori interactions. A particularly intriguing prediction of EGFR interaction with the cytoskeleton-associated protein PDLIM1 was verified within cells using co-immunoprecipitation and in situ proximity ligation assays. Our approach thus offers a new way to discover protein-protein interactions in a dynamic context- and phosphorylation site-specific manner.

Chromatin proteins captured by ChIP-mass spectrometry are linked to dosage compensation in Drosophila

X-chromosome dosage compensation by the MSL (male-specific lethal) complex is required in Drosophila melanogaster to increase gene expression from the single male X to equal that of both female X chromosomes. Instead of focusing solely on protein complexes released from DNA, here we used chromatin-interacting protein MS (ChIP-MS) to identify MSL interactions on cross-linked chromatin. We identified MSL-enriched histone modifications, including histone H4 Lys16 acetylation and histone H3 Lys36 methylation, and CG4747, a putative Lys36-trimethylated histone H3 (H3K36me3)-binding protein. CG4747 is associated with the bodies of active genes, coincident with H3K36me3, and is mislocalized in the Set2 mutant lacking H3K36me3. CG4747 loss of function in vivo results in partial mislocalization of the MSL complex to autosomes, and RNA interference experiments confirm that CG4747 and Set2 function together to facilitate targeting of the MSL complex to active genes, validating the ChIP-MS approach.

Peptide peak intensities enhanced by cysteine modifiers and MALDI TOF MS

Two cysteine-specific modifiers we reported previously, N-ethyl maleimide (NEM) and iodoacetanilide (IAA), have been applied to the labeling of cysteine residues of peptides for the purpose of examining the enhancement of ionization efficiencies in combination with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF MS). The peak intensities of the peptides as a result of modification with these modifiers were compared with the peak intensities of peptides modified with a commercially available cysteine-specific modifier, iodoacetamide (IA). Our experiments show significant enhancement in the peak intensities of three cysteine-containing synthetic peptides modified with IAA compared to those modified with IA. The results showed a 4.5-6-fold increase as a result of modification with IAA compared to modification with IA. Furthermore, it was found that IAA modification also significantly enhanced the peak intensities of many peptides of a commercially available proteins, bovine serum albumin (BSA), compared to those modified with IA. This significant enhancement helped identify a greater number of peptides of these proteins, leading to a higher sequence coverage with greater confidence scores in identification of proteins with the use of IAA.

A universally conserved ATPase regulates the oxidative stress response in Escherichia coli

YchF is an evolutionarily conserved ATPase of unknown function. In humans, the YchF homologue hOla1 appears to influence cell proliferation and was found to be up-regulated in many tumors. A possible involvement in regulating the oxidative stress response was also suggested, but details on the underlying mechanism are lacking. For gaining insight into YchF function, we used Escherichia coli as a model organism and found that YchF overexpression resulted in H(2)O(2) hypersensitivity. This was not caused by transcriptional or translational down-regulation of H(2)O(2)-scavenging enzymes. Instead, we observed YchF-dependent inhibition of catalase activity and a direct interaction with the major E. coli catalase KatG. KatG inhibition was dependent on the ATPase activity of YchF and was regulated by post-translational modifications, most likely including an H(2)O(2)-dependent dephosphorylation. We furthermore showed that YchF expression is repressed by the transcription factor OxyR and further post-translationally modified in response to H(2)O(2). In summary, our data show that YchF functions as a novel negative regulator of the oxidative stress response in E. coli. Considering the available data on hOla1, YchF/Ola1 most likely execute similar functions in bacteria and humans, and their up-regulation inhibits the ability of the cells to scavenge damaging reactive oxygen species.

Resolving protein interactions and complexes by affinity purification followed by label-based quantitative mass spectrometry

Label-based quantitative mass spectrometry analysis of affinity purified complexes, with its built-in negative controls and relative ease of use, is an increasingly popular choice for defining protein-protein interactions and multiprotein complexes. This approach, which differentially labels proteins/peptides from two or more populations and combines them prior to analysis, permits direct comparison of a protein pulldown (e.g. affinity purified tagged protein) to that of a control pulldown (e.g. affinity purified tag alone) in a single mass spectrometry (MS) run, thus avoiding the variability inherent in separate runs. The use of quantitative techniques has been driven in large part by significant improvements in the resolution and sensitivity of high-end mass spectrometers. Importantly, the availability of commercial reagents and open source identification/quantification software has made these powerful techniques accessible to nonspecialists. Benefits and drawbacks of the most popular labeling-based approaches are discussed here, and key steps/strategies for the use of labeling in quantitative immunoprecipitation experiments detailed.

The 70S ribosome modulates the ATPase activity of Escherichia coli YchF

YchF is one of two universally conserved GTPases with unknown cellular function. As a first step toward elucidating YchF's cellular role, we performed a detailed biochemical characterization of the protein from Escherichia coli. Our data from fluorescence titrations not only confirmed the surprising finding that YchFE.coli binds adenine nucleotides more efficiently than guanine nucleotides, but also provides the first evidence suggesting that YchF assumes two distinct conformational states (ATP- and ADP-bound) consistent with the functional cycle of a typical GTPase. Based on an in vivo pull-down experiment using a His-tagged variant of YchF from E. coli (YchFE.coli), we were able to isolate a megadalton complex containing the 70S ribosome. Based on this finding, we report the successful reconstitution of a YchF•70S complex in vitro, revealing an affinity (KD) of the YchFE.coli•ADPNP complex for 70S ribosomes of 3 μM. The in vitro reconstitution data also suggests that the identity of the nucleotide-bound state of YchF (ADP or ATP) modulates its affinity for 70S ribosomes. A detailed Michaelis-Menten analysis of YchF's catalytic activity in the presence and the absence of the 70S ribosome and its subunits revealed for the first time that the 70S ribosome is able to stimulate YchF's ATPase activity (~10-fold), confirming the ribosome as part of the functional cycle of YchF. Our findings taken together with previously reported data for the human homolog of YchF (hOLA1) indicate a high level of evolutionary conservation in the enzymatic properties of YchF and suggest that the ribosome is the main functional partner of YchF not only in bacteria.

Stable isotope labeling with amino acids in Drosophila for quantifying proteins and modifications

Drosophila melanogaster is a common animal model for genetics studies, and quantitative proteomics studies of the fly are emerging. Here, we present in detail the development of a procedure to incorporate stable isotope-labeled amino acids into the fly proteome. In the method of stable isotope labeling with amino acids in Drosophila melanogaster (SILAC fly), flies were fed with SILAC-labeled yeast grown with modified media, enabling near complete labeling in a single generation. Biological variation in the proteome among individual flies was evaluated in a series of null experiments. We further applied the SILAC fly method to profile proteins from a model of fragile X syndrome, the most common cause of inherited mental retardation in human. The analysis identified a number of altered proteins in the disease model, including actin-binding protein profilin and microtubulin-associated protein futsch. The change of both proteins was validated by immunoblotting analysis. Moreover, we extended the SILAC fly strategy to study the dynamics of protein ubiquitination during the fly life span (from day 1 to day 30), by measuring the level of ubiquitin along with two major polyubiquitin chains (K48 and K63 linkages). The results show that the abundance of protein ubiquitination and the two major linkages do not change significantly within the measured age range. Together, the data demonstrate the application of the SILAC principle in D. melanogaster, facilitating the integration of powerful fly genomics with emerging proteomics.

Studying protein complexes by the yeast two-hybrid system

Protein complexes are typically analyzed by affinity purification and subsequent mass spectrometric analysis. However, in most cases the structure and topology of the complexes remains elusive from such studies. Here we investigate how the yeast two-hybrid system can be used to analyze direct interactions among proteins in a complex. First we tested all pairwise interactions among the seven proteins of Escherichia coli DNA polymerase III as well as an uncharacterized complex that includes MntR and PerR. Four and seven interactions were identified in these two complexes, respectively. In addition, we review Y2H data for three other complexes of known structure which serve as "gold-standards", namely Varicella Zoster Virus (VZV) ribonucleotide reductase (RNR), the yeast proteasome, and bacteriophage lambda. Finally, we review an Y2H analysis of the human spliceosome which may serve as an example for a dynamic mega-complex.

Gold nanoparticle-based immuno dual probes for targeting proteomics

Immunoprecipitation combined with mass spectrometry (MS) is a promising technique for targeting proteomics in characterizing submicrograms of target protein and interacting proteins in living cells. This method, however, is limited by interference arising from nonspecific binding. We report a novel gold nanoparticle (AuNP)-based immuno probe approach for immunoprecipitation. By cross-linking the antibody Fc domain to protein G covalently modified on AuNPs, the probe was fabricated and characterized to have 60 protein G and 30 immunoglobins per AuNP. We used human immunoglobin against the target and mouse immunoglobin with the same isotype (IgG) to fabricate the target and preclear probe, respectively, and termed it as the dual probe approach. Our results showed that the preclear probe (AuNP-IgG) and the target probe (AuNP-anti-ERα) share a similar panel of nonspecific binders but dramatic different specificity toward the target. Thus, using the dual probe method, we showed major nonspecific binders in the cell lysate could be largely removed without sacrificing the target protein. Compared to the conventional agarose gel-chromatography, the AuNP-based probe exhibited less nonspecific interference and higher recovery yield for ERα. Moreover, the AuNP-based probe is more inert than the agarose gel under harsh conditions and does not induce dissociation of the cross-linked IgG that could interfere with target identification. Using AuNP-based dual probes, ERα was shown to be purified from MCF-7 cells with minimum nonspecific binding. Moreover, the identity and phosphorylation sites on the C-terminus of the purified ERα could be positively confirmed by MS using only 1 mg of cellular protein.

Advancing formaldehyde cross-linking towards quantitative proteomic applications

Formaldehyde is a key fixation reagent. This review explores its application in combination with qualitative and quantitative mass spectrometry (MS). Formalin-fixed and paraffin-embedded (FFPE) tissues form a large reservoir of biologically valuable samples and their investigation by MS has only recently started. Furthermore, formaldehyde can be used to stabilise protein-protein interactions in living cells. Because formaldehyde is able to modify proteins, performing MS analysis on these samples can pose a challenge. Here we discuss the chemistry of formaldehyde cross-linking, describe the problems of and progress in these two applications and their common aspects, and evaluate the potential of these methods for the future.

Mapping the protein interaction network of the human COP9 signalosome complex using a label-free QTAX strategy

The COP9 signalosome (CSN) is a multi-subunit protein complex that performs critical roles in controlling diverse cellular and developmental processes. Aberrant regulation of the CSN complex has been shown to lead to tumorigenesis. Despite its biological significance, our current knowledge of the function and regulation of the CSN complex is very limited. To explore CSN biology, we have developed and employed a new version of the tag team-based QTAX strategy (quantitative analysis of tandem affinity purified in vivo cross-linked (X) protein complexes) by incorporating a label-free MS method for quantitation. Coupled with protein interaction network analysis, this strategy produced a comprehensive and detailed assessment of the protein interaction network of the human CSN complex. In total, we quantitatively characterized 825 putative CSN-interacting proteins, with 270 classified as core interactors (captured by all three bait purifications). Biochemical validation further confirms the validity of selected identified interactors. This work presents the most complete analysis of the CSN interaction network to date, providing an inclusive set of physical interaction data consistent with physiological roles for the CSN. Moreover, the methodology described here is a general proteomic tool for the comprehensive study of protein interaction networks.

The universally conserved prokaryotic GTPases

Members of the large superclass of P-loop GTPases share a core domain with a conserved three-dimensional structure. In eukaryotes, these proteins are implicated in various crucial cellular processes, including translation, membrane trafficking, cell cycle progression, and membrane signaling. As targets of mutation and toxins, GTPases are involved in the pathogenesis of cancer and infectious diseases. In prokaryotes also, it is hard to overestimate the importance of GTPases in cell physiology. Numerous papers have shed new light on the role of bacterial GTPases in cell cycle regulation, ribosome assembly, the stress response, and other cellular processes. Moreover, bacterial GTPases have been identified as high-potential drug targets. A key paper published over 2 decades ago stated that, "It may never again be possible to capture [GTPases] in a family portrait" (H. R. Bourne, D. A. Sanders, and F. McCormick, Nature 348:125-132, 1990) and indeed, the last 20 years have seen a tremendous increase in publications on the subject. Sequence analysis identified 13 bacterial GTPases that are conserved in at least 75% of all bacterial species. We here provide an overview of these 13 protein subfamilies, covering their cellular functions as well as cellular localization and expression levels, three-dimensional structures, biochemical properties, and gene organization. Conserved roles in eukaryotic homologs will be discussed as well. A comprehensive overview summarizing current knowledge on prokaryotic GTPases will aid in further elucidating the function of these important proteins.

Analysis of stable and transient protein-protein interactions

The assembly of proteins into defined complexes drives a plethora of cellular activities. These protein complexes often have a set of more stably interacting proteins as well as more unstable or transient interactions. Studying the in vivo components of these protein complexes is challenging as many of the techniques used for isolation result in the purification of only the most stable components and the transient interactions are lost. A technology called transient isotopic differentiation of interactions as random or targeted (transient I-DIRT) has been developed to identify these transiently interacting proteins as well as the stable interactions. Described here are the detailed methodological approaches used for a transient I-DIRT analysis of a multi-subunit complex, NuA3, that acetylates histone H3 and functions to activate gene transcription. Transcription is known to involve a concert of protein assemblies performing different activities on the chromatin/gene template, thus understanding the less stable or transient protein interactions with NuA3 will shed light onto the protein complexes that function synergistically, or antagonistically, to regulate gene transcription and chromatin remodeling.

Affinity purification of mammalian 26S proteasomes using an ubiquitin-like domain

The standard methods for the isolation of the 26S proteasomes from mammalian tissues have long involved multiple chromatographic steps. This process led to loss of loosely associated regulatory proteins or cofactors and yielded particles with low functional capacity. Here, we describe a single-step affinity purification of 26S proteasome complexes that preserves the association with many 26S proteasome-interacting proteins. Our approach uses the ubiquitin-like domain of human RAD23B as an affinity bait, which allows the rapid and gentle isolation of 26S proteasomes with high purity. This strategy does not require the genetic introduction of tagged subunits nor expensive antibodies, and therefore can be used to isolate 26S proteasomes from any mammalian tissue or yeast. This method, therefore, is an important new tool to study 26S proteasome function in various models of human diseases that are linked to changes in the ubiquitin proteasome system, for example the increased proteasomal proteolysis seen in muscle wasting or the decreased proteasomal capacity that has been reported in various neurodegenerative diseases.

Joining forces: integrating proteomics and cross-linking with the mass spectrometry of intact complexes

Protein assemblies are critical for cellular function and understanding their physical organization is the key aim of structural biology. However, applying conventional structural biology approaches is challenging for transient, dynamic, or polydisperse assemblies. There is therefore a growing demand for hybrid technologies that are able to complement classical structural biology methods and thereby broaden our arsenal for the study of these important complexes. Exciting new developments in the field of mass spectrometry and proteomics have added a new dimension to the study of protein-protein interactions and protein complex architecture. In this review, we focus on how complementary mass spectrometry-based techniques can greatly facilitate structural understanding of protein assemblies.

Calpain interacts with class IA phosphoinositide 3-kinases regulating their stability and signaling activity

Class IA phosphoinositide 3-kinases (PI3Ks) are signaling enzymes with key roles in the regulation of essential cellular functions and disease, including cancer. Accordingly, their activity is tightly controlled in cells to maintain homeostasis. The formation of multiprotein complexes is a ubiquitous mechanism to regulate enzyme activity but the contribution of protein-protein interactions to the regulation of PI3K signaling is not fully understood. We designed an affinity purification quantitative mass spectrometry strategy to identify proteins interacting dynamically with PI3K in response to pathway activation, with the view that such binding partners may have a functional role in pathway regulation. Our study reveals that calpain small subunit 1 interacts with PI3K and that the association between these proteins is lower in cells stimulated with serum compared to starved cells. Calpain and PI3K activity assays confirmed these results, thus demonstrating that active calpain heterodimers associate dynamically with PI3K. In addition, calpains were found to cleave PI3K proteins in vitro (resulting in a reduction of PI3K lipid kinase activity) and to regulate endogenous PI3K protein levels in vivo. Further investigations revealed that calpains have a role in the negative regulation of PI3K/Akt pathway activity (as measured by Akt and ribosomal S6 phosphorylation) and that their inhibition promotes cell survival during serum starvation. These results indicate that the interaction between calpain and PI3K is a novel mechanism for the regulation of class IA PI3K stability and activity.

Oxidative stress-mediated regulation of proteasome complexes

Oxidative stress has been implicated in aging and many human diseases, notably neurodegenerative disorders and various cancers. The reactive oxygen species that are generated by aerobic metabolism and environmental stressors can chemically modify proteins and alter their biological functions. Cells possess protein repair pathways to rescue oxidized proteins and restore their functions. If these repair processes fail, oxidized proteins may become cytotoxic. Cell homeostasis and viability are therefore dependent on the removal of oxidatively damaged proteins. Numerous studies have demonstrated that the proteasome plays a pivotal role in the selective recognition and degradation of oxidized proteins. Despite extensive research, oxidative stress-triggered regulation of proteasome complexes remains poorly defined. Better understanding of molecular mechanisms underlying proteasome function in response to oxidative stress will provide a basis for developing new strategies aimed at improving cell viability and recovery as well as attenuating oxidation-induced cytotoxicity associated with aging and disease. Here we highlight recent advances in the understanding of proteasome structure and function during oxidative stress and describe how cells cope with oxidative stress through proteasome-dependent degradation pathways.

Heterogeneous cardiac proteasomes: mandated by diverse substrates?

Proteasome biology has taken central stage in cardiac physiology and pathophysiology. The molecular heterogeneity of proteasome subpopulations supports the specificity of proteasome function to degrade diverse substrate repertoires. Unveiling the dynamics of proteasome function should inspire new therapeutic strategies for combating cardiac disease.

Recent advances in protein-protein interaction prediction: experimental and computational methods

INTRODUCTION

Proteins within the cell act as part of complex networks, which allow pathways and processes to function. Therefore, understanding how proteins interact is a significant area of current research.

AREAS COVERED

This review aims to present an overview of key experimental techniques (yeast two-hybrid, tandem affinity purification and protein microarrays) used to discover protein-protein interactions (PPIs), as well as to briefly discuss certain computational methods for predicting protein interactions based on gene localization, phylogenetic information, 3D structural modeling or primary protein sequence data. Due to the large-scale applicability of primary sequence-based methods, the authors have chosen to focus on this strategy for our review. There is an emphasis on a recent algorithm called Protein Interaction Prediction Engine (PIPE) that can predict global PPIs. The readers will discover recent advances both in the practical determination of protein interaction and the strategies that are available to attempt to anticipate interactions without the time and costs of experimental work.

EXPERT OPINION

Global PPI maps can help understand the biology of complex diseases and facilitate the identification of novel drug target sites. This study describes different techniques used for PPI prediction that we believe will significantly impact the development of the field in a new future. We expect to see a growing number of similar techniques capable of large-scale PPI predictions.

Stable isotope labeling with amino acids in cell culture based mass spectrometry approach to detect transient protein interactions using substrate trapping

The analysis of protein interactors in protein complexes can yield important insight into protein function and signal transduction. Thus, a reliable approach to distinguish true interactors from nonspecific interacting proteins is of utmost importance for accurate data interpretation. Although stringent purification methods are critical, challenges still remain in the selection of criteria that will permit the objective differentiation of true members of the protein complex from nonspecific background proteins. To address these challenges, we have developed a quantitative proteomic strategy combining stable isotope labeling with amino acids in cell culture (SILAC), affinity substrate trapping, and gel electrophoresis followed by liquid chromatography-tandem mass spectrometry (geLC-MS/MS) protein quantitation. ATP hydrolysis-deficient vacuolar protein sorting-associated protein 4B (Vps4B) was used as the "bait" protein which served as a substrate trap since its lack of ATP hydrolysis enzymatic activity allows the stabilization of its transiently associated interacting proteins. A significant advantage of our approach is the use of our new in-house-developed software program for SILAC-based mass spectrometry quantitation, which further facilitates the differentiation between the bait protein, endogenous bait-interacting proteins, and nonspecific binding proteins based on their protein ratios. The strategy presented herein is applicable to the analysis of other protein complexes whose compositions are dependent upon the ATP hydrolysis activity of the bait protein used in affinity purification studies.

Technologies and approaches to elucidate and model the virulence program of salmonella

Salmonella is a primary cause of enteric diseases in a variety of animals. During its evolution into a pathogenic bacterium, Salmonella acquired an elaborate regulatory network that responds to multiple environmental stimuli within host animals and integrates them resulting in fine regulation of the virulence program. The coordinated action by this regulatory network involves numerous virulence regulators, necessitating genome-wide profiling analysis to assess and combine efforts from multiple regulons. In this review we discuss recent high-throughput analytic approaches used to understand the regulatory network of Salmonella that controls virulence processes. Application of high-throughput analyses have generated large amounts of data and necessitated the development of computational approaches for data integration. Therefore, we also cover computer-aided network analyses to infer regulatory networks, and demonstrate how genome-scale data can be used to construct regulatory and metabolic systems models of Salmonella pathogenesis. Genes that are coordinately controlled by multiple virulence regulators under infectious conditions are more likely to be important for pathogenesis. Thus, reconstructing the global regulatory network during infection or, at the very least, under conditions that mimic the host cellular environment not only provides a bird's eye view of Salmonella survival strategy in response to hostile host environments but also serves as an efficient means to identify novel virulence factors that are essential for Salmonella to accomplish systemic infection in the host.

Building protein-protein interaction networks with proteomics and informatics tools

The systematic characterization of the whole interactomes of different model organisms has revealed that the eukaryotic proteome is highly interconnected. Therefore, biological research is progressively shifting away from classical approaches that focus only on a few proteins toward whole protein interaction networks to describe the relationship of proteins in biological processes. In this minireview, we survey the most common methods for the systematic identification of protein interactions and exemplify different strategies for the generation of protein interaction networks. In particular, we will focus on the recent development of protein interaction networks derived from quantitative proteomics data sets.

Unraveling the dynamics of protein interactions with quantitative mass spectrometry

Knowledge of structure and dynamics of proteins and protein complexes is important to unveil the molecular basis and mechanisms involved in most biological processes. Protein complex dynamics can be defined as the changes in the composition of a protein complex during a cellular process. Protein dynamics can be defined as conformational changes in a protein during enzyme activation, for example, when a protein binds to a ligand or when a protein binds to another protein. Mass spectrometry (MS) combined with affinity purification has become the analytical tool of choice for mapping protein-protein interaction networks and the recent developments in the quantitative proteomics field has made it possible to identify dynamically interacting proteins. Furthermore, hydrogen/deuterium exchange MS is emerging as a powerful technique to study structure and conformational dynamics of proteins or protein assemblies in solution. Methods have been developed and applied for the identification of transient and/or weak dynamic interaction partners and for the analysis of conformational dynamics of proteins or protein complexes. This review is an overview of existing and recent developments in studying the overall dynamics of in vivo protein interaction networks and protein complexes using MS-based methods.

The tandem affinity purification technology: an overview

Tandem affinity purification (TAP) is a methodology for the isolation of protein complexes from endogenous sources. It involves incorporation of a dual-affinity tag into the protein of interest and introduction of the construct into desired cell lines or organisms. Using the two affinity handles, the protein complex assembled under physiological conditions, which contains the tagged target protein and its interacting partners, can be isolated by a sequential purification scheme. Compared with single-step purification, TAP greatly reduces non-specific background and isolates protein complexes with higher purity. TAP-based protein retrieval plus mass spectrometry-based analysis has become a standard approach for identification and characterization of multi-protein complexes. The present article gives an overview of the TAP method, with a focus on its key feature-the dual-affinity tag. In addition, the application of this technology in various systems is briefly discussed.

Proteomic tools for the analysis of transient interactions between metalloproteins

Metalloproteins play major roles in cell metabolism and signalling pathways. In many cases, they show moonlighting behaviour, acting in different processes, depending on the physiological state of the cell. To understand these multitasking proteins, we need to discover the partners with which they carry out such novel functions. Although many technological and methodological tools have recently been reported for the detection of protein interactions, specific approaches to studying the interactions involving metalloproteins are not yet well developed. The task is even more challenging for metalloproteins, because they often form short-lived complexes that are difficult to detect. In this review, we gather the different proteomic techniques and biointeractomic tools reported in the literature. All of them have shown their applicability to the study of transient and weak protein-protein interactions, and are therefore suitable for metalloprotein interactions.

Xlink-identifier: an automated data analysis platform for confident identifications of chemically cross-linked peptides using tandem mass spectrometry

Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein-protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labeling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify interpeptide, intrapeptide, and deadend cross-links as well as underivatized peptides. The software streamlines data preprocessing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein-protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein-protein interactions using tandem mass spectrometry.

Proteome dynamics and proteome function of cardiac 19S proteasomes

Myocardial proteasomes are comprised of 20S core particles and 19S regulatory particles, which together carry out targeted degradation of cardiac proteins. The 19S complex is unique among the regulators of proteasomes in that it affects both the capacity and specificity of protein degradation. However, a comprehensive molecular characterization of cardiac 19S complexes is lacking. In this investigation, we tailored a multidimensional chromatography-based purification strategy to isolate structurally intact and functionally viable 19S complexes from murine hearts. Two distinct subpopulations of 19S complexes were isolated based upon (1) potency of activating 20S proteolytic activity, and (2) molecular composition using a combination of immuno-detection, two-dimensional-differential gel electrophoresis, and MS-based approaches. Heat shock protein 90 (Hsp90) was identified to be characteristic to 19S subpopulation I. The physical interaction of Hsp90 with 19S complexes was demonstrated via multiple approaches. Inhibition of Hsp90 activity using geldanamycin or BIIB021 potentiated the ability of subpopulation I to activate 20S proteasomes in the murine heart, thus demonstrating functional specificity of Hsp90 in subpopulation I. This investigation has advanced our understanding of the molecular heterogeneity of cardiac proteasomes by identifying molecularly and functionally distinct cardiac 19S complexes. The preferential association of Hsp90 with 19S subpopulation I unveils novel targets for designing proteasome-based therapeutic interventions for combating cardiac disease.

Analysis of Histone Exchange during Chromatin Purification

Central to the study of chromosome biology are techniques that permit the purification of small chromatin sections for analysis of associated DNA and proteins, including histones. Chromatin purification protocols vary greatly in the extent of chemical cross-linking used to prevent protein dissociation/re-association during isolation. Particularly for genome-wide analyses, chromatin purification requires a balanced level of fixation that captures native protein-protein and protein/DNA interactions, yet leaving chromatin sections soluble and accessible to affinity reagents. We have applied a relative quantification methodology called I-DIRT (isotopic differentiation of interactions as random or targeted) for optimizing levels of chemical cross-linking for affinity purification of cognate chromatin sections. We show that fine-tuning of chemical cross-linking is necessary for isolation of chromatin sections when minimal histone/protein exchange is required.

Quantitative profiling of in vivo-assembled RNA-protein complexes using a novel integrated proteomic approach

Identification of proteins in RNA-protein complexes is an important step toward understanding regulation of RNA-based processes. Because of the lack of appropriate methodologies, many studies have relied on the creation of in vitro assembled RNA-protein complexes using synthetic RNA and cell extracts. Such complexes may not represent authentic RNPs as they exist in living cells as synthetic RNA may not fold properly and nonspecific RNA-protein interactions can form during cell lysis and purification processes. To circumvent limitations in current approaches, we have developed a novel integrated strategy namely MS2 in vivo biotin tagged RNA affinity purification (MS2-BioTRAP) to capture bona fide in vivo-assembled RNA-protein complexes. In this method, HB-tagged bacteriophage protein MS2 and stem-loop tagged target or control RNAs are co-expressed in cells. The tight association between MS2 and the RNA stem-loop tags allows efficient HB-tag based affinity purification of authentic RNA-protein complexes. Proteins associated with target RNAs are subsequently identified and quantified using SILAC-based quantitative mass spectrometry. Here the 1.2 kb internal ribosome entry site (IRES) from lymphoid enhancer factor-1 mRNA has been used as a proof-of-principle target RNA. An IRES target was chosen because of its importance in protein translation and our limited knowledge of proteins associated with IRES function. With a conventionally translated target RNA as control, 36 IRES binding proteins have been quantitatively identified including known IRES binding factors, novel interacting proteins, translation initiation factors (eIF4A-1, eIF-2A, and eIF3g), and ribosomal subunits with known noncanonical actions (RPS19, RPS7, and RPL26). Validation studies with the small molecule eIF4A-1 inhibitor Hippuristanol shows that translation of endogenous lymphoid enhancer factor-1 mRNA is especially sensitive to eIF4A-1 activity. Our work demonstrates that MS2 in vivo biotin tagged RNA affinity purification is an effective and versatile approach that is generally applicable for other RNA-protein complexes.

A bird's-eye view of post-translational modifications in the spliceosome and their roles in spliceosome dynamics

Pre-mRNA splicing, the removal of noncoding intron sequences from the pre-mRNA, is a critical reaction in eukaryotic gene expression. Pre-mRNA splicing is carried out by a remarkable macromolecular machine, the spliceosome, which undergoes dynamic rearrangements of its RNA and protein components to assemble its catalytic center. While significant progress has been made in describing the "moving parts" of this machine, the mechanisms by which spliceosomal proteins mediate the ordered rearrangements within the spliceosome remain elusive. Here we explore recent evidence from proteomics studies revealing extensive post-translational modification of splicing factors. While the functional significance of most of these modifications remains to be characterized, we describe recent studies in which the roles of specific post-translational modifications of splicing factors have been characterized. These examples illustrate the importance of post-translational modifications in spliceosome dynamics.

Development of a novel cross-linking strategy for fast and accurate identification of cross-linked peptides of protein complexes

Knowledge of elaborate structures of protein complexes is fundamental for understanding their functions and regulations. Although cross-linking coupled with mass spectrometry (MS) has been presented as a feasible strategy for structural elucidation of large multisubunit protein complexes, this method has proven challenging because of technical difficulties in unambiguous identification of cross-linked peptides and determination of cross-linked sites by MS analysis. In this work, we developed a novel cross-linking strategy using a newly designed MS-cleavable cross-linker, disuccinimidyl sulfoxide (DSSO). DSSO contains two symmetric collision-induced dissociation (CID)-cleavable sites that allow effective identification of DSSO-cross-linked peptides based on their distinct fragmentation patterns unique to cross-linking types (i.e. interlink, intralink, and dead end). The CID-induced separation of interlinked peptides in MS/MS permits MS(3) analysis of single peptide chain fragment ions with defined modifications (due to DSSO remnants) for easy interpretation and unambiguous identification using existing database searching tools. Integration of data analyses from three generated data sets (MS, MS/MS, and MS(3)) allows high confidence identification of DSSO cross-linked peptides. The efficacy of the newly developed DSSO-based cross-linking strategy was demonstrated using model peptides and proteins. In addition, this method was successfully used for structural characterization of the yeast 20 S proteasome complex. In total, 13 non-redundant interlinked peptides of the 20 S proteasome were identified, representing the first application of an MS-cleavable cross-linker for the characterization of a multisubunit protein complex. Given its effectiveness and simplicity, this cross-linking strategy can find a broad range of applications in elucidating the structural topology of proteins and protein complexes.

Selective enrichment and identification of azide-tagged cross-linked peptides using chemical ligation and mass spectrometry

Protein-protein interaction is one of the key regulatory mechanisms for controlling protein function in various cellular processes. Chemical cross-linking coupled with mass spectrometry has proven to be a powerful method not only for mapping protein-protein interactions of all natures, including weak and transient ones, but also for determining their interaction interfaces. One critical challenge remaining in this approach is how to effectively isolate and identify cross-linked products from a complex peptide mixture. In this work, we have developed a novel strategy using conjugation chemistry for selective enrichment of cross-linked products. An azide-tagged cross-linker along with two biotinylated conjugation reagents were designed and synthesized. Cross-linking of model peptides and cytochrome c as well as enrichment of the resulting cross-linked peptides has been assessed. Selective conjugation of azide-tagged cross-linked peptides has been demonstrated using two strategies: copper catalyzed cycloaddition and Staudinger ligation. While both methods are effective, Staudinger ligation is better suited for enriching the cross-linked peptides since there are fewer issues with sample handling. LC MS(n) analysis coupled with database searching using the Protein Prospector software package allowed identification of 58 cytochrome c cross-linked peptides after enrichment and affinity purification. The new enrichment strategy developed in this work provides useful tools for facilitating identification of cross-linked peptides in a peptide mixture by MS, thus presenting a step forward in future studies of protein-protein interactions of protein complexes by cross-linking and mass spectrometry.

Elucidating the higher-order structure of biopolymers by structural probing and mass spectrometry: MS3D

Chemical probing represents a very versatile alternative for studying the structure and dynamics of substrates that are intractable by established high-resolution techniques. The implementation of MS-based strategies for the characterization of probing products has not only extended the range of applicability to virtually all types of biopolymers but has also paved the way for the introduction of new reagents that would not have been viable with traditional analytical platforms. As the availability of probing data is steadily increasing on the wings of the development of dedicated interpretation aids, powerful computational approaches have been explored to enable the effective utilization of such information to generate valid molecular models. This combination of factors has contributed to making the possibility of obtaining actual 3D structures by MS-based technologies (MS3D) a reality. Although approaches for achieving structure determination of unknown targets or assessing the dynamics of known structures may share similar reagents and development trajectories, they clearly involve distinctive experimental strategies, analytical concerns and interpretation paradigms. This Perspective offers a commentary on methods aimed at obtaining distance constraints for the modeling of full-fledged structures while highlighting common elements, salient distinctions and complementary capabilities exhibited by methods used in dynamics studies. We discuss critical factors to be addressed for completing effective structural determinations and expose possible pitfalls of chemical methods. We survey programs developed for facilitating the interpretation of experimental data and discuss possible computational strategies for translating sparse spatial constraints into all-atom models. Examples are provided to illustrate how the concerted application of very diverse probing techniques can lead to the solution of actual biological systems.

Chemical genetics screen for enhancers of rapamycin identifies a specific inhibitor of an SCF family E3 ubiquitin ligase

The target of rapamycin (TOR) plays a central role in eukaryotic cell growth control. With prevalent hyperactivation of the mammalian TOR (mTOR) pathway in human cancers, strategies to enhance TOR pathway inhibition are needed. We used a yeast-based screen to identify small-molecule enhancers of rapamycin (SMERs) and discovered an inhibitor (SMER3) of the Skp1-Cullin-F-box (SCF)(Met30) ubiquitin ligase, a member of the SCF E3-ligase family, which regulates diverse cellular processes including transcription, cell-cycle control and immune response. We show here that SMER3 inhibits SCF(Met30) in vivo and in vitro, but not the closely related SCF(Cdc4). Furthermore, we demonstrate that SMER3 diminishes binding of the F-box subunit Met30 to the SCF core complex in vivo and show evidence for SMER3 directly binding to Met30. Our results show that there is no fundamental barrier to obtaining specific inhibitors to modulate function of individual SCF complexes.

A new cross-linking strategy: protein interaction reporter (PIR) technology for protein-protein interaction studies

Chemical cross-linking coupled with mass spectrometry, an emerging approach for protein topology and interaction studies, has gained increasing interest in the past few years. A number of recent proof-of-principle studies on model proteins or protein complex systems with improved cross-linking strategies have shown great promise. However, the heterogeneity and low abundance of the cross-linked products as well as data complexity continue to pose enormous challenges for large-scale application of cross-linking approaches. A novel mass spectrometry-cleavable cross-linking strategy embodied in Protein Interaction Reporter (PIR) technology, first reported in 2005, was recently successfully applied for in vivo identification of protein-protein interactions as well as actual regions of the interacting proteins that share close proximity while present within cells. PIR technology holds great promise for achieving the ultimate goal of mapping protein interaction network at systems level using chemical cross-linking. In this review, we will briefly describe the recent progress in the field of chemical cross-linking development with an emphasis on the PIR concepts, its applications and future directions.

Characterization of the Brain 26S Proteasome and its Interacting Proteins

Proteasome-mediated proteolysis is important for synaptic plasticity, neuronal development, protein quality control, and many other processes in neurons. To define proteasome composition in brain, we affinity purified 26S proteasomes from cytosolic and synaptic compartments of the rat cortex. Using tandem mass spectrometry, we identified the standard 26S subunits and a set of 28 proteasome-interacting proteins that associated substoichiometrically and may serve as regulators or cofactors. This set differed from those in other tissues and we also found several proteins that associated only with either the cytosolic or the synaptic proteasome. The latter included the ubiquitin-binding factor TAX1BP1 and synaptic vesicle protein SNAP-25. Native gel electrophoresis revealed a higher proportion of doubly-capped 26S proteasome (19S-20S-19S) in the cortex than in the liver or kidney. To investigate the interplay between proteasome regulation and synaptic plasticity, we exposed cultured neurons to glutamate receptor agonist NMDA. Within 4 h, this agent caused a prolonged decrease in the activity of the ubiquitin-proteasome system as shown by disassembly of 26S proteasomes, decrease in ubiquitin-protein conjugates, and dissociation of the ubiquitin ligases UBE3A (E6-AP) and HUWE1 from the proteasome. Surprisingly, the regulatory 19S particles were rapidly degraded by proteasomal, not lysosomal degradation, and the dissociated E3 enzymes also degraded. Thus the content of proteasomes and their set of associated proteins can be altered by neuronal activity, in a manner likely to influence synaptic plasticity and learning.

Enrichment of O-GlcNAc modified proteins by the periodate oxidation-hydrazide resin capture approach

A chemical derivatization approach has been developed for the enrichment of O-GlcNAc modified proteins. The procedure is based on the isolation technique used for N-glycoproteins with appropriate modifications because of the differences in the two types of glycosylation: a prolonged periodate oxidation is followed by hydrazide resin capture, on-resin proteolytic digestion, and release of the modified peptides by hydroxylamine. This enrichment strategy offers a fringe benefit in mass spectrometry analysis. Upon collisional activation, the presence of the open carbohydrate ring leads to characteristic fragmentation facilitating both glycopeptide identification and site assignment. The enrichment protocol was applied to the Drosophila proteasome complex previously described as O-GlcNAc modified. The O-GlcNAc modification was located on proteasome interacting proteins, deubiquitinating enzyme Faf (CG1945) and a ubiquitin-like domain containing protein (CG7546). Three other proteins were also found GlcNAc modified, a HSP70 homologue (CG2918), scribbled (CG5462) and the 205 kDa microtubule-associated protein (CG1483). Interestingly, in the HSP70 homologue the GlcNAc modification is attached to an asparagine residue of a N-glycosylation motif.

Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry

Protein-protein interactions are important for nearly all biological processes, and it is known that aberrant protein-protein interactions can lead to human disease and cancer. Recent evidence has suggested that protein interaction interfaces describe a new class of attractive targets for drug development. Full characterization of protein interaction networks of protein complexes and their dynamics in response to various cellular cues will provide essential information for us to understand how protein complexes work together in cells to maintain cell viability and normal homeostasis. Affinity purification coupled with quantitative mass spectrometry has become the primary method for studying in vivo protein interactions of protein complexes and whole organism proteomes. Recent developments in sample preparation and affinity purification strategies allow the capture, identification, and quantification of protein interactions of protein complexes that are stable, dynamic, transient, and/or weak. Current efforts have mainly focused on generating reliable, reproducible, and high confidence protein interaction data sets for functional characterization. The availability of increasing amounts of information on protein interactions in eukaryotic systems and new bioinformatics tools allow functional analysis of quantitative protein interaction data to unravel the biological significance of the identified protein interactions. Existing studies in this area have laid a solid foundation toward generating a complete map of in vivo protein interaction networks of protein complexes in cells or tissues.

Characterization of cell cycle specific protein interaction networks of the yeast 26S proteasome complex by the QTAX strategy

Ubiquitin-proteasome dependent protein degradation plays a fundamental role in the regulation of the eukaryotic cell cycle. Cell cycle transitions between different phases are tightly regulated to prevent uncontrolled cell proliferation, which is characteristic of cancer cells. To understand cell cycle phase specific regulation of the 26S proteasome and reveal the molecular mechanisms underlying the ubiquitin-proteasome degradation pathway during cell cycle progression, we have carried out comprehensive characterization of cell cycle phase specific proteasome interacting proteins (PIPs) by QTAX analysis of synchronized yeast cells. Our efforts have generated specific proteasome interaction networks for the G1, S, and M phases of the cell cycle and identified a total of 677 PIPs, 266 of which were not previously identified from unsynchronized cells. On the basis of the dynamic changes of their SILAC ratios across the three cell cycle phases, we have employed a profile vector-based clustering approach and identified 20 functionally significant groups of PIPs, 3 of which are enriched with cell cycle related functions. This work presents the first step toward understanding how dynamic proteasome interactions are involved in various cellular pathways during the cell cycle.

Isolation of mammalian 26S proteasomes and p97/VCP complexes using the ubiquitin-like domain from HHR23B reveals novel proteasome-associated proteins

Recent studies, mainly in yeast, have identified various cofactors that associate with the 26S proteasome and appear to influence its function. To identify these proteins in different cells and physiological states, we developed a method to gently and rapidly isolate 26S proteasomes and associated proteins without the need for genetic modifications of the proteasome. This method is based on the affinity of this complex for the ubiquitin-like (UBL) domain of hHR23B and elution with a competing polypeptide containing a ubiquitin-interacting motif. Associated with 26S proteasomes from rat muscle were a variety of known proteasome-interacting proteins, activators, and ubiquitin conjugates. In addition, we identified over 40 proteins not previously known to associate with the 26S proteasome, some of which were tightly associated with the proteasome in a substoichiometric fashion, e.g., the deubiquitinating enzymes USP5/isopeptidase T and USP7/HAUSP and the ubiquitin ligases ARF-BP1/HUWE1 and p600/UBR4. By altering buffer conditions, we also purified by this approach complexes of the ATPase p97/VCP associated with its adaptor proteins Ufd1-Npl4, p47, SAKS1, and FAF1, all of which contain ubiquitin-binding motifs. These complexes were isolated with ubiquitin conjugates bound and were not previously known to bind to the UBL domain of hHR23B. These various UBL-interacting proteins, dubbed the UBL interactome, represent a network of proteins that function together in ubiquitin-dependent proteolysis, and the UBL method offers many advantages for studies of the diversity, functions, and regulation of 26S proteasomes and p97 complexes under different conditions.

Quantitative proteome analysis of the 20S proteasome of apoptotic Jurkat T cells

Regulated proteolysis plays important roles in cell biology and pathological conditions. A crosstalk exists between apoptosis and the ubiquitin-proteasome system, two pathways responsible for regulated proteolysis executed by different proteases. To investigate whether the apoptotic process also affects the 20S proteasome, we performed three independent SILAC-based quantitative proteome approaches: 1-DE/MALDI-MS, small 2-DE/MALDI-MS and large 2-DE/nano-LC-ESI-MS. Taking the results of all experiments together, no quantitative changes were observed for the α- and β-subunits of the 20S proteasome except for subunit α7. This protein was identified in two protein spots with a down-regulation of the more acidic protein species (α7a) and up-regulation of the more basic protein species (α7b) during apoptosis. The difference in these two α7 protein species could be attributed to oxidation of cysteine-41 to cysteine sulfonic acid and phosphorylation at serine-250 near the C terminus in α7a, whereas these modifications were missing in α7b. These results pointed to the biological significance of posttranslational modifications of proteasome subunit α7 after induction of apoptosis.

Effects of ethanol on the proteasome interacting proteins

Proteasome dysfunction has been repeatedly reported in alcoholic liver disease. Ethanol metabolism end-products affect the structure of the proteasome, and, therefore, change the proteasome interaction with its regulatory complexes 19S and PA28, as well as its interacting proteins. Chronic ethanol feeding alters the ubiquitin-proteasome activity by altering the interaction between the 19S and the 20S proteasome interaction. The degradation of oxidized and damaged proteins is thus decreased and leads to accumulation of insoluble protein aggregates, such as Mallory-Denk bodies. Ethanol also affects the immunoproteasome formation. PA28a/b interactions with the 20S proteasome are decreased in the proteasome fraction isolated from the liver of rats fed ethanol chronically, thus affecting the cellular antigen presentation and defense against pathogenic agents. Recently, it has been shown that ethanol also affects the proteasome interacting proteins (PIPs). Interaction of the proteasome with Ecm29 and with deubiquitinating enzymes Rpn11, UCH37, and Usp14 has been found to decrease. However, the two UBL-ubiquitin-associated domain (UBA) PIPs p62 and valosin-containing protein are upregulated when the proteasome is inhibited. The increase of these UBL-UBA proteins, as well as the increase in Hsp70 and Hsp25 levels, compensated for the proteasome failure and helped in the unfolding/docking of misfolded proteins. Chronic alcohol feeding to rats causes a significant inhibition of the proteasome pathway and this inhibition results from a decreases of the interaction between the 20S proteasome and the regulatory complexes, PIPs, and the ubiquitin system components.

Biotin tagging coupled with amino acid-coded mass tagging for efficient and precise screening of interaction proteome in mammalian cells

In mammalian cells, when tandem affinity purification approach is employed, the existence of untagged endogenous target protein and repetitive washing steps together result in overall low yield of purified/stable complexes and the loss of weakly and transiently interacting partners of biological significance. To avoid the trade-offs involving in methodological sensitivity, precision, and throughput, here we introduce an integrated method, biotin tagging coupled with amino acid-coded mass tagging, for highly sensitive and accurate screening of mammalian protein-protein interactions. Without the need of establishing a stable cell line, using a short peptide tag which could be specifically biotinylated in vivo, the biotin-tagged target/bait protein was then isolated along with its associates efficiently by streptavidin magnetic microbeads in a single step. In a pulled-down complex amino acid-coded mass tagging serves as "in-spectra" quantitative markers to distinguish those bait-specific interactors from non-specific background proteins under stringent criteria. Applying this biotin tagging coupled with amino acid-coded mass tagging approach, we first biotin-tagged in vivo a multi-functional protein family member, 14-3-3epsilon, which was expressed at close to endogenous level. Starting with approximately 20 millions of 293T cells which were significantly less than what needed for a tandem affinity purification run, 266 specific interactors of 14-3-3epsilon were identified in high confidence.

Commonly used tag combinations for tandem affinity purification

TAP (tandem affinity purification) allows rapid and clean isolation of a tagged protein along with its interacting partners from cell lysates. Initially developed in yeast, the TAP method has subsequently been adapted to other cells and organisms. In combination with MS analysis, this method has become an indispensable tool for systematic identification of target-associated protein complexes. The key feature of TAP is the use of a dual-affinity tag, which is fused to the protein of interest. The original TAP tag consisted of two IgG-binding units of Protein A of Staphylococcus aureus and the calmodulin-binding peptide. As the technique has been widely exploited, a number of alternative TAP tags based on other affinity handles have been developed. The present review gives an overview of the various tag combinations for TAP with a highlight on those alternatives that result in improved yields or unique features. The information provided should assist in the selection and development of TAP tags for specific applications.

14-3-3Tau regulates ubiquitin-independent proteasomal degradation of p21, a novel mechanism of p21 downregulation in breast cancer

14-3-3 proteins regulate many cellular functions, including proliferation. However, the detailed mechanisms by which they control the cell cycle remain to be fully elucidated. We report that one of the 14-3-3 isoforms, 14-3-3tau, is required for the G(1)/S transition through its role in ubiquitin-independent proteasomal degradation of p21. 14-3-3tau binds to p21, MDM2, and the C8 subunit of the 20S proteasome in G(1) phase and facilitates proteasomal targeting of p21. This function of 14-3-3tau may be deregulated in cancer. The overexpression of 14-3-3tau is frequently found in primary human breast cancer and correlates with lower levels of p21 and shorter patient survival. Tenascin-C, an extracellular matrix protein involved in tumor initiation and progression and a known 14-3-3tau inducer, decreases p21 and abrogates adriamycin-induced G(1)/S arrest. It has been known that p21 is required for a proper tamoxifen response in breast cancer. We show that the overexpression of 14-3-3tau inhibits tamoxifen-induced p21 induction and growth arrest in MCF7 cells. Together, the findings of our studies strongly suggest a novel oncogenic role of 14-3-3tau by downregulating p21 in breast cancer. Therefore, 14-3-3tau may be a potential therapeutic target in breast cancer.