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PubMed2006

Plant proteome analysis: a 2004-2006 update.

Since the appearance of the review entitled "Plant Proteome Analysis" in Proteomics in February 2004 (Cánovas, F. M., Dumas-Gaudot, E., Recorbert, G., Jorrín, J. et al., Proteomics 2004, 4, 285-298), about 200 original articles focusing on plant proteomics have been published. Although this represents less than 1% of the global proteomics output during this period, it nevertheless reflects an increase in activity over the period 1999-2004. These papers concern the proteome of at least 35 plant species but have concentrated mainly on thale cress (Arabidopsis thaliana) and rice (Oryza sativa). The scientific objectives have ranged from a proteomic analysis of organs, tissues, cell suspensions, or subcellular fractions to the study of plant development and response to various stresses. A number of contributions have covered PTMs and protein interactions. The dominant analytical platform has been 2-DE coupled to MS, but "second generation" techniques such as DIGE, multidimensional protein identification technology, isotope-coded affinity tags, and stable isotope labeling by amino acids in cell culture have begun to make an impact. This review aims to provide an update of the contribution of proteomics to plant biology during the period 2004-2006, and is divided into six sections: introduction, subcellular proteomes, plant development, responses to biotic and abiotic stresses, PTMs, and protein interactions. The conclusions summarize a view of the major pitfalls and challenges of plant proteomics.

Arabidopsis↗
PubMed2006

Methods for proteomics in neuroscience.

Proteomics reveals complex protein expression, function, interactions and localization in different phenotypes of neuron. As proteomics, regarded as a highly complex screening technology, moves from a theoretical approach to practical reality, neuroscientists have to determine the most-appropriate applications for this technology. Even though proteomics compliments genomics, it is in sheer contrast to the basically constant genome due to its dynamic nature. Neuroscientists have to surmount difficulties particular to the research in neuroscience; such as limited sample amounts, heterogeneous cellular compositions in samples and the fact that many proteins of interest are hydrophobic proteins. The necessity of exclusive technology, sophisticated software and skilled manpower tops the challenge. This review examines subcellular organelle isolation, protein fractionation and separation using two-dimensional gel electrophoresis (2-DGE) as well as multi-dimensional liquid chromatography (LC) followed by mass spectrometry (MS). The methods for quantifying relative gene product expression between samples (e.g., two-dimensional difference in gel electrophoresis (2D-DIGE), isotope-coded affinity tag (ICAT) and iTRAQ) are elaborated. An overview of the techniques used currently to assign post-translational modification status on a proteomics scale is also evaluated. The feasible coverage of the proteome, ability to detect unique cell components such as post-synaptic densities and membrane proteins, resource requirements and quantitative as well as qualitative reliability of different approaches is also discussed. While there are many challenges in neuroproteomics, this field promises many returns in the future.

Animals↗
PubMedDate not supplied

Proteomic snapshot analyses of preribosomal ribonucleoprotein complexes formed at various stages of ribosome biogenesis in yeast and mammalian cells.

Proteomic technologies powered by advancements in mass spectrometry and bioinformatics and coupled with accumulated genome sequence data allow a comprehensive study of cell function through large-scale and systematic protein identifications of protein constituents of the cell and tissues, as well as of multi-protein complexes that carry out many cellular function in a higher-order network in the cell. One of the most extensively analyzed cellular functions by proteomics is the production of ribosome, the protein-synthesis machinery, in the nucle(ol)us--the main site of ribosome biogenesis. The use of tagged proteins as affinity bait, coupled with mass spectrometric identification, enabled us to isolate synthetic intermediates of ribosomes that might represent snapshots of nascent ribosomes at particular stages of ribosome biogenesis and to identify their constituents--some of which showed dynamic changes for association with the intermediates at various stages of ribosome biogenesis. In this review, in conjunction with the results from yeast cells, our proteomic approach to analyze ribosome biogenesis in mammalian cells is described.

Animals↗
PubMed2004

A novel proteomic approach for specific identification of tyrosine kinase substrates using [13C]tyrosine.

Proteomic studies to find substrates of tyrosine kinases generally rely on identification of protein bands that are "pulled down" by antiphosphotyrosine antibodies from ligand-stimulated samples. One can obtain erroneous results from such experiments because of two major reasons. First, some proteins might be basally phosphorylated on tyrosine residues in the absence of ligand stimulation. Second, proteins can bind non-specifically to the antibodies or the affinity matrix. Induction of phosphorylation of proteins by ligand must therefore be confirmed by a different approach, which is not always feasible. We have developed a novel proteomic approach to identify substrates of tyrosine kinases in signaling pathways studies based on in vivo labeling of proteins with "light" (12C-labeled) or "heavy" (13C-labeled) tyrosine. This stable isotope labeling in cell culture method enables the unequivocal identification of tyrosine kinase substrates, as peptides derived from true substrates give rise to a unique signature in a mass spectrometry experiment. By using this approach, from a single experiment, we have successfully identified several known substrates of insulin signaling pathway and a novel substrate, polymerase I and transcript release factor, a protein that is implicated in the control of RNA metabolism and regulation of type I collagen promoters. This approach is amenable to high throughput global studies as it simplifies the specific identification of substrates of tyrosine kinases as well as serine/threonine kinases using mass spectrometry.

3T3-L1 Cells↗
PubMedDate not supplied

Characterization of transcription factors by mass spectrometry and the role of SELDI-MS.

Over the last decade, much progress has been made in the field of biological mass spectrometry, with numerous advances in technology, resolution, and affinity capture. The field of genomics has also been transformed by the sequencing and characterization of entire genomes. Some of the next challenges lie in understanding the relationship between the genome and the proteome, the protein complement of the genome, and in characterizing the regulatory processes involved in progressing from gene to functional protein. In this new age of proteomics, development of mass spectrometry methods to characterize transcription factors promises to add greatly to our understanding of regulatory networks that govern expression. However, at this time, regulatory networks of transcription factors are mostly uncharted territory. In this review, we summarize the latest advances in characterization of transcription factors by mass spectrometry including affinity capture, identification of complexes of DNA-binding proteins, structural characterization, determination of protein-DNA and protein-protein interactions, assessment of modification sites and metal binding, studies of functional activity, and the latest chip technologies that use SELDI-MS that allow the rapid capture and identification of transcription factors.

Animals↗
PubMed2001

New Frontiers in the Proteome Research Quantitative Proteomics.

In the past years, proteome research has achieved very exciting advances. The automation of 2DE-MS approach and the use of multidimensional liquid chromatography (LC) and tandem mass spectrometry (MS/MS) have overcome many disadvantages of two-dimensional gel electrophoresis. The stable isotope labeling and the isotope-coded affinity tags (ICAT) strategy provided an ideal method for accurately quantitating the low copy number proteins which play a key role in cells or tissues. At the same time, the research of the quantitative proteomics has been improved greatly with the development of the protein chip technology. Recent advances of the research in the quantitative proteomics and the related technologies are reviewed.

Journal Article↗
PubMed2006

Analysis of human plasma proteome by 2DE- and 2D nanoLC-based mass spectrometry.

We compared the 2DE coupled to MALDI-TOF-MS and ESI-MS/MS analysis (2DE-MS) and the on-line 2D nanoLC, followed by nanoESI-MS/MS analysis (2DLC-MS), for the separation and identification of proteins in high abundance protein-depleted human plasma. Identification of proteins in the plasma by the two methods demonstrated that the majority of the identified protein set was unique to each method. Therefore, if a comprehensive coverage of the proteome identification is desired, it is ideal to apply both methods. The 2DE-MS method is amenable to protein spot-based quantitation, whereas the 2DLC-MS method may provide an advantage of the high throughput application.

Adult↗
PubMedDate not supplied

Application of isotope coded affinity tag (ICAT) analysis for the identification of differentially expressed proteins following infection of atlantic salmon (Salmo salar) with infectious hematopoietic necrosis virus (IHNV) or Renibacterium salmoninarum (BKD).

Aquaculture and commercial fisheries worldwide suffer from significant economic loss due to diseases of net-pen reared fish. In British Columbia, infectious hematopoietic necrosis (IHN) and bacterial kidney disease (BKD) epidemics occur because there are currently no commercially available drugs or fully licensed vaccines to treat these diseases. With a better understanding of the molecular mechanisms underlying these diseases, this circumstance might be significantly improved. In the present study, we have used a proteomics approach in an effort to identify and quantitate differentially expressed proteins in the liver and kidneys of diseased and healthy Atlantic salmon (Salmo salar). Isotope coded affinity tagging (ICAT), 2D gel electrophoresis, and multidimensional liquid chromatography coupled to tandem mass spectrometry (2D-LC MS/MS) were used to identify hundreds of differentially expressed proteins. While the direct significance of changes in expression levels of many proteins remains to be elucidated, others appear to be more clearly related to the infectious process. Examples of the latter are discussed here and include, a natural killer cell enhancement factor (NKEF), procathepsin L, superoxide-producing NADPH oxidase and interferon-induced viral resistance protein Mx (IFI-Mx).

Affinity Labels↗
PubMed2006

Proteomic profiling of metalloprotease activities with cocktails of active-site probes.

Metalloproteases are a large, diverse class of enzymes involved in many physiological and disease processes. Metalloproteases are regulated by post-translational mechanisms that diminish the effectiveness of conventional genomic and proteomic methods for their functional characterization. Chemical probes directed at active sites offer a potential way to measure metalloprotease activities in biological systems; however, large variations in structure limit the scope of any single small-molecule probe aimed at profiling this enzyme class. Here, we address this problem by creating a library of metalloprotease-directed probes that show complementary target selectivity. These probes were applied as a 'cocktail' to proteomes and their labeling profiles were analyzed collectively using an advanced liquid chromatography-mass spectrometry platform. More than 20 metalloproteases were identified, including members from nearly all of the major branches of this enzyme class. These findings suggest that chemical proteomic methods can serve as a universal strategy to profile the activity of the metalloprotease superfamily in complex biological systems.

Affinity Labels↗
PubMed2026

Kv11.1 (hERG) Protein Interaction Networks Connect Endocytic Trafficking to Polygenic Influences on Cardiac Repolarization.

Polygenic scores (PGS) capture the combined effect of many common genetic variants on quantitative traits and disease risk, yet their functional consequences at the protein level remain poorly defined. Here, we integrated quantitative and interaction proteomics to resolve how polygenic liability for cardiac repolarization manifests in human cells. We studied human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) from donors with extreme PGS for QT interval duration, a clinically relevant electrophysiologic trait associated with arrhythmia risk. Global quantitative proteomics revealed increased abundance of mitochondrial proteins in high-PGS cardiomyocytes. To define protein network-level effects on a key repolarizing ion channel, we performed multiplexed affinity purification-mass spectrometry (AP-MS) of Kv11.1. While mitochondrial changes did not directly explain Kv11.1-associated complexes, interactome analysis revealed increased association of Kv11.1 with myosin motor proteins and endosomal recycling machinery in high-PGS cells. These findings suggest altered channel trafficking dynamics of Kv11.1, distinct from the trafficking defects observed in monogenic Kv11.1 variants. Together, these data show that integrating global and interaction proteomics can resolve how polygenic variation reshapes protein networks. Future work using these methods could connect genomic risk to subcellular remodeling and our work provides a generalizable framework to probe the proteomic basis of complex traits. SIGNIFICANCE STATEMENT: Polygenic scores (PGS) predict disease risk, but how biological pathways are influenced by these common variants remains difficult to define. We generated human induced pluripotent stem cells from individuals with extreme high- and low- PGS for QT interval, a key electrocardiographic measure linked to arrhythmia risk. By combining global proteomics and interactomics for a common ion channel involved in regulating the QT interval (Kv11.1) we found potential mechanisms that are influenced by common genetic traits in patients. Our work provides an approach to connect polygenic scores to pathway-level molecular mechanisms in human cells and a general framework for uncovering how complex genetic architecture drives disease-relevant biology.

AP-MS↗
PubMed2006

Use of monolithic supports in proteomics technology.

An overview on the utilization of monoliths in proteomics technology will be given. Both silica- and polymer-based monoliths have broad use for microseparation of tryptic peptides in reversed-phase (RP) mode before identification by mass spectrometry (MS) or by MS/MS. For two-dimensional (2D) LC separation of peptides before MS or MS/MS analysis, a combination of ion-exchange, usually cation-exchange (CEX) chromatography with RP chromatography on monolithic supports can be employed. Immobilized metal ion affinity chromatography monoliths with immobilized Fe3+-ions are used for the isolation of phosphopeptides. Monoliths with immobilized affinity ligands are usually applied to the rapid separation of proteins and peptides. Miniaturized reactors with immobilized proteolytic enzymes are utilized for rapid on- or offline digestion of isolated proteins or protein mixtures prior to identification by LC-MS/MS. Monoliths also have broad potential for application in sample preparation, prior to further proteomic analyses. Monolithic supports with large pore sizes can be exploited for the isolation of nanoparticles, such as cells, organelles, viruses and protein aggregates. The potential for further adoption of monolithic supports in protein separation and enrichment of low abundance proteins prior to proteolytic digestion and final LC-MS/MS protein identification will be discussed.

Chromatography, Affinity↗
PubMed2004

Proteomic analysis of glutathione S -transferases of Arabidopsis thaliana reveals differential salicylic acid-induced expression of the plant-specific phi and tau classes.

Plant glutathione S -transferases (GSTs) are a large group of multifunctional proteins that are induced by diverse stimuli. Using proteomic approaches we identified 20 GSTs at the protein level in Arabidopsis cell culture with a combination of GST antibody detection, LC-MS/MS analysis of 23-30 kDa proteins and glutathione-affinity chromatography. GSTs identified were from phi, tau, theta, zeta and DHAR sub-sections of the GST superfamily of 53 members. We have uncovered preliminary evidence for post-translational modifications of plant GSTs and show that phosphorylation is unlikely to be responsible. Detailed analysis of GST expression in response to treatment with 0.01-1 mM of the plant defence signal salicylic acid (SA) uncovered some interesting features. Firstly, GSTs appear to display class-specific concentration-dependent SA induction profiles highlighting differences between the large, plant specific phi and tau classes. Secondly, different members of the same class, while sharing similar SA dose responses, may display differences in terms of magnitude and timing of induction, further highlighting the breadth of GST gene regulation. Thirdly, closely related members of the same class ( GSTF6 and GSTF7 ), arising via tandem duplication, may be regulated differently in terms of basal expression levels and also magnitude of induction raising questions about the role of subfunctionalisation within this family. Our results reveal that GSTs exhibit class specific responses to SA treatment suggesting that several mechanisms are acting to induce GSTs upon SA treatment and hinting at class-specific functions for this large and important, yet still relatively elusive gene family.

Arabidopsis↗
PubMed2003

Identification of androgen-coregulated protein networks from the microsomes of human prostate cancer cells.

BACKGROUND: Androgens play a critical role in the development of prostate cancer-dysregulation of androgen-regulated growth pathways can led to hormone-refractory prostate cancer. A comprehensive understanding of androgen-regulated cellular processes has not been achieved to date. To this end, we have applied a large-scale proteomic approach to define cellular processes that are responsive to androgen treatment in LNCaP prostate cancer cells. RESULTS: Using isotope-coded affinity tags and mass spectrometry we identified and quantified the relative abundance levels of 1,064 proteins and found that distinct cellular processes were coregulated by androgen while others were essentially unaffected. Subsequent pharmacological perturbation of the cellular process for energy generation confirmed that androgen starvation had a profound effect on this pathway. CONCLUSIONS: Our results provide evidence for the role of androgenic hormones in coordinating the expression of critical components involved in distinct cellular processes and further establish a foundation for the comprehensive reconstruction of androgen-regulated protein networks and pathways in prostate cancer cells.

Amino Acid Sequence↗
PubMedDate not supplied

Chemical proteomic tool for ligand mapping of CYP antitargets: an NMR-compatible 3D QSAR descriptor in the Heme-Based Coordinate System.

Chemical proteomic strategies strive to probe and understand protein-ligand interactions across gene families. One gene family of particular interest in drug and xenobiotic metabolism are the cytochromes P450 (CYPs), the topic of this article. Although numerous tools exist to probe affinity of CYP-ligand interactions, fewer exist for the rapid experimental characterization of the structural nature of these interactions. As a complement to recent advances in X-ray crystallography, NMR methods are being developed that allow for fairly high throughput characterization of protein-ligand interactions. One especially promising NMR approach involves the use of paramagnetic induced relaxation effects to measure distances of ligand atoms from the heme iron in CYP enzymes. Distances obtained from these T(1) relaxation measurements can be used as a direct source of 1-dimensional structural information or to restrain a ligand docking to generate a 3-dimensional data set. To facilitate such studies, we introduce the concept of the Heme-Based Coordinate System and present how it can be used in combination with NMR T(1) relaxation data to derive 3D QSAR descriptors directly or in combination with in silico docking. These descriptors should have application in defining the binding preferences of CYP binding sites using 3D QSAR models. They are especially well-suited for the biasing of fragment assembly and combinatorial chemistry drug design strategies, to avoid fragment or reagent combinations with enhanced affinity for CYP antitargets.

Computer Simulation↗
PubMed2005

Global phosphoproteome analysis on human HepG2 hepatocytes using reversed-phase diagonal LC.

We present a phosphoproteomics approach using diagonal RP chromatography as the basic isolation principle. Phosphopeptides present in a tryptic digest of total cellular lysates were first enriched by Fe3+-immobilized metal ion affinity chromatography. Further sorting of the phosphopeptides took place in three steps. First, the resulting peptide mixture was fractionated over reversed-phase chromatography. Second, peptides present in each fraction were treated with phosphatases. Third, the dephosphorylated peptides were then more hydrophobic and shifted towards a later elution interval from the contaminating non-phosphopeptides eluting at the same position as during the primary run. Since the phosphopeptides are isolated as their dephosphorylated form, additional proof for their original phosphorylation state was obtained by split-differential 16O-18O labeling. The method was validated with alpha-casein phosphopeptides and consecutively applied on HepG2 cells. We identified 190 phosphorylated peptides from 152 different proteins. This dataset includes 38 novel protein phosphorylation sites.

Amino Acid Sequence↗
PubMed2006

Quantitation of protein phosphorylation in pregnant rat uteri using stable isotope dimethyl labeling coupled with IMAC.

Quantitative analysis of protein phosphorylation provides important insights into molecular signaling mechanisms and a better understanding of many cellular processes. In this study, we coupled stable isotope dimethyl labeling with immobilized metal affinity chromatography (IMAC) enrichment to quantify protein phosphorylation at MS-determined phosphorylation sites. The proposed method was first characterized using alpha- and beta-casein as two model phosphoproteins, and further applied to the analysis of pregnant rat uteri with and without treatment with 8-bromo-cGMP. Dimethyl labeling has several significant advantages: global, fast (within 5 min) and complete (near 100%). Our results indicate that the labeling has no adverse effect on the IMAC enrichment for tryptic peptides having single and multiple phosphorylation sites. Moreover, the enhanced a1 signal and the complete reaction by dimethyl labeling provide unequivocal identification of both the N-terminal amino acid and the number of the labeling site. Using these two criteria in data validation, which is particularly important for identifying phosphoproteins, we found that the confidence in interpreting dimethyl-labeled peptides had greatly increased. In the analysis of late gestation rat uteri, the abundance ratio between treated and un-treated phosphopeptide signals ranged from 0.51 to 1.69 with an average of around 1.01 +/- 0.25. The obtained ratio of the phosphorylation levels at Ser 15 of HSP27 was further confirmed by the consistent results obtained from Western blot analyses. Based on the analysis of the results, it is interesting to note that the activated cGMP dependent protein kinase G (PKG) seems to affect the phosphorylation of proteins associated with the inhibition of cell migration and proliferation, redistribution of actin-associated proteins, and the increase of protein synthesis in late-gestation uteri. These observations provide important evidence suggesting that activated PKG may play a critical role in the shift of pregnant uteri from proliferative to hypertrophic states.

Animals↗
PubMed2002

Overview of tag protein fusions: from molecular and biochemical fundamentals to commercial systems.

In response to the rapidly growing field of proteomics, the use of recombinant proteins has increased greatly in recent years. Recombinant hybrids containing a polypeptide fusion partner, termed affinity tag, to facilitate the purification of the target polypeptides are widely used. Many different proteins, domains, or peptides can be fused with the target protein. The advantages of using fusion proteins to facilitate purification and detection of recombinant proteins are well-recognized. Nevertheless, it is difficult to choose the right purification system for a specific protein of interest. This review gives an overview of the most frequently used and interesting systems: Arg-tag, calmodulin-binding peptide, cellulose-binding domain, DsbA, c-myc-tag, glutathione S-transferase, FLAG-tag, HAT-tag, His-tag, maltose-binding protein, NusA, S-tag, SBP-tag, Strep-tag, and thioredoxin.

Amino Acid Sequence↗
PubMed2006

Systems for the detection and analysis of protein-protein interactions.

The analysis of protein-protein interactions is important for developing a better understanding of the functional annotations of proteins that are involved in various biochemical reactions in vivo. The discovery that a protein with an unknown function binds to a protein with a known function could provide a significant clue to the cellular pathway concerning the unknown protein. Therefore, information on protein-protein interactions obtained by the comprehensive analysis of all gene products is available for the construction of interactive networks consisting of individual protein-protein interactions, which, in turn, permit elaborate biological phenomena to be understood. Systems for detecting protein-protein interactions in vitro and in vivo have been developed, and have been modified to compensate for limitations. Using these novel approaches, comprehensive and reliable information on protein-protein interactions can be determined. Systems that permit this to be achieved are described in this review.

Chromatography, Affinity↗