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At least 217 records · Page 12Linked to original sources
PubMed2003

Proteomic profiling drug-induced apoptosis in non-small cell lung carcinoma: identification of RS/DJ-1 and RhoGDIalpha.

The growing knowledge of the tight connection between apoptosis and cancer has lead to an explosion of research revolving around apoptotic induction with chemotherapeutic agents and small molecule inhibitors. The chemotherapeutic agent paclitaxel (Taxol) activates mitogen-activated protein kinase kinase (MEK)/extracellular signal-regulated kinase and, combined with MEK inhibition, synergistically enhances apoptosis. Here we implement a proteomic approach using two-dimensional gels coupled with mass spectrometry to identify proteins altered with this coordinated combination treatment. We found that the combined treatment of paclitaxel and MEK inhibitor uniquely altered the proteins RS/DJ-1 (RNA-binding regulatory subunit/DJ-1 PARK7) and RhoGDIalpha (Rho GDP-dissociation inhibitor alpha). Functional proteomic analysis by exogenous expression or short interfering RNA targeting confirmed a role in survival and apoptosis for these proteins. Analysis of primary lung tumors with matched adjacent normal tissue confirmed RS/DJ-1 overexpression in non-small cell lung carcinoma. This study shows the power of proteomic profiling coupled with functional analysis for the discovery of novel molecular targets and potential cancer cell-specific biomarkers.

Antineoplastic Combined Chemotherapy Protocols↗
PubMed2006

Structural, functional and immunologic characterization of folded subdomains in the Ro52 protein targeted in Sjögren's syndrome.

Ro52, one of the major autoantigens in the rheumatic disease Sjögren's syndrome (SS), belongs to the tripartite motif (TRIM) or RING-B-box-coiled-coil (RBCC) protein family, thus comprising an N-terminal RING, followed by a B-box and a coiled-coil region. Several different proteomic functions have been suggested for Ro52, including DNA binding, protein interactions and Zn(2+)-binding. To analyze the presence and/or absence of these functions and, in particular, map those to different subregions, the modular composition of the Ro52 protein was experimentally characterized. Two structured parts of Ro52 were identified, corresponding to the RING-B-box and the coiled-coil regions, respectively. Secondary structure analysis by circular dichroism (CD) spectroscopy indicated that the two subregions are independently structured. The entire RING-B-box region displayed Zn(2+)-dependent stabilization against proteolysis in the presence of Zn2+, indicating functional Zn(2+)-binding sites in both the RING and the B-box. However, no stabilization with DNA was detected, irrespective of Zn(2+), thus suggesting that the RING-B-box region does not bind DNA. Oligomerization of the coiled-coil was investigated by analytical ultracentrifugation and in a mammalian two-hybrid system. Both methods show weak homodimer affinity, in parity with other coiled-coil domains involved in regulatory interactions. The C-terminal B30.2 region was rapidly degraded both during cellular expression and refolding, indicating a less stable structure. Immunologic analysis of the stable protein regions with sera from patients with Sjögren's syndrome shows that immunodominant epitopes to a large extent are localized in the structurally stable parts of Ro52. The results form a basis for further Ro52 functional studies on the proteome level.

Autoantigens↗
PubMed2006

Synthesis and testing of mechanism-based protein-profiling probes for retaining endo-glycosidases.

New functional proteomics methods are required for targeting and identification of subsets of a proteome in an activity-based fashion. Glycosidases play critical roles in biology, yet a robust method for functional analysis of their activities and identities in biological proteomes is still lacking. An aryl 2-deoxy-2-fluoro xylobioside inactivator was conjugated through cleavable and noncleavable linker arms to a biotin tag, thereby yielding two new active-site-directed reagents for activity-based profiling of retaining beta-glycanases in complex proteomes. Crucially, these tagged reagents possess high specificity for their target enzymes with kinetic parameters similar to those of the untagged reagent. Western blotting showed that these reagents bind and covalently label active retaining beta-glycanases both in pure enzyme samples and in the secreted proteome of the soil bacterium Cellulomonas fimi. Such reagents therefore show great promise for future activity-based targeting of glycanases.

Affinity Labels↗
PubMed2001

Mass spectrometry for the study of protein-protein interactions.

The identification of subpicomolar amounts of protein by mass spectrometry (MS) coupled with two-dimensional methods to separate complex protein mixtures is fueling the field of proteomics, and making feasible the notion of cataloging and comparing all of the expressed proteins in a biological sample. Functional proteomics is a complementary effort aimed at the characterization of functional features of proteins, such as their interactions with other proteins. Proteins comprise modular domains, many of which are noncatalytic modules that direct protein-protein interactions. Capturing proteins of interest and their interacting proteins by using high-affinity antibodies presents a simple method to prepare relatively simple protein mixtures easily resolved in one-dimensional formats. Individual or mixtures of proteins identified as stained bands in polyacrylamide gels are subjected to in situ digestion with the protease trypsin, and the extracted peptide fragments are analyzed by MS. The quality, quantity, and complexity of the tryptic digest, the species origin of the proteins, and the quality of the corresponding databases of genomic and protein information greatly influence the subsequent MS analysis in terms of degree of difficulty and methodological approach required to make an unambiguous protein identification. In this article we report the isolation of associated proteins from a complex cell-derived lysate by using an epitope-directed antibody. The protein pICLn engineered to carry an epitope tag was purified from cultured human embryonic kidney cells, and found to associate with a variety of proteins including the spliceosomal proteins smE and smG. By application of this general approach, the systematic identification of protein complexes and assignment of protein function are possible.

Algorithms↗
PubMed2006

Functional genome and proteome analyses of cutaneous autoimmune diseases.

The use of functional genomics and proteomics technologies has dramatically increased through recent years with a special emphasis on cancer biology. However, a series of more recent reports has also addressed inflammatory diseases. These included studies on different autoimmune diseases, such as rheumatoid arthritis, lupus erythematosus, and systemic sclerosis. Gene and protein expression profiles from these studies have emphasized the role of cytokines, chemokines, and apoptosis-related molecules for the pathogenesis of autoimmune diseases. Much less is known about gene and protein patterns of these diseases in dermatology. Here we provide an overview on current knowledge about genomics and proteomics analyses of cutaneous autoimmune diseases. These diseases include psoriasis, lupus erythematosus, systemic sclerosis, vitiligo, and alopecia areata. The presented findings not only provide deeper insights into the pathogenesis of each individual disease but also show overlapping gene patterns suggestive for common pathogenic mechanisms. However, many open questions remain to be resolved since data about local gene expression pattern in affected tissues are still scarce.

Animals↗
PubMed2005

Proteomic identification of heat shock protein 90 as a candidate target for p53 mutation reactivation by PRIMA-1 in breast cancer cells.

INTRODUCTION: A loss of p53 function resulting from mutation is prevalent in human cancers. Thus, restoration of p53 function to mutant p53 using small compounds has been extensively studied for cancer therapy. We previously reported that PRIMA-1 (for 'p53 reactivation and induction of massive apoptosis') restored the transcriptional activity of p53 target genes in breast cancer cells with a p53 mutation. By using functional proteomics approach, we sought to identify molecular targets that are involved in the restoration of normal function to mutant p53. METHODS: PRIMA-1 treated cell lysates were subjected to immunoprecipitation with DO-1 primary antibody against p53 protein, and proteins bound to p53 were separated on a denaturing gel. Bands expressed differentially between control and PRIMA-1-treated cells were then identified by matrix-assisted laser desorption ionization-time-of-flight spectrometry. Protein expression in whole cell lysates and nuclear extracts were confirmed by Western blotting. The effect of combined treatment of PRIMA-1 and adriamycin in breast cancer cells was determined with a cytotoxicity assay in vitro. RESULTS: PRIMA-1 treated cells distinctly expressed a protein band of 90 kDa that was identified as heat shock protein 90 (Hsp90) by the analysis of the 90 kDa band tryptic digest. Immunoblotting with isoform-specific antibodies against Hsp90 identified this band as the alpha isoform of Hsp90 (Hsp90alpha). Co-immunoprecipitation with anti-Hsp90alpha antibody followed by immunoblotting with DO-1 confirmed that p53 and Hsp90alpha were interacting proteins. PRIMA-1 treatment also resulted in the translocation of Hsp90alpha to the nucleus by 8 hours. Treatment of cells with PRIMA-1 alone or in combination with adriamycin, a DNA-targeted agent, resulted in increased sensitivity of tumor cells. CONCLUSION: The studies demonstrate that PRIMA-1 restores the p53-Hsp90alpha interaction, enhances the translocation of the p53-Hsp90alpha complex and reactivates p53 transcriptional activity. Our preliminary evidence also suggests that PRIMA-1 could be considered in combination therapy with DNA-targeted agents for the treatment of breast cancer, especially for tumors with aberrant p53 function.

Amino Acid Substitution↗
PubMed2002

Mass spectrometry in coupling with affinity capture-release and isotope-coded affinity tags for quantitative protein analysis.

Affinity capture-release electrospray ionization mass spectrometry (ACESIMS) and isotope-coded affinity tags (ICAT) are two recently introduced techniques for the quantitation of protein activity and content with applications to clinical enzymology and functional proteomics, respectively. One common feature of these methods is that they use biotinylated tags that function as molecular handles for highly selective and reversible affinity capture of conjugates from complex biological mixtures such as cell homogenates and sub-cellular organelles. ACESIMS uses synthetic substrate conjugates specifically to target cellular enzymes that, when deficient, are the cause of genetic diseases. Multiplex determination of enzyme activities is used for the diagnosis of lysosomal storage diseases. The ICAT method relies on selective conjugation of cysteine thiol groups in proteins, followed by enzymatic digestion and quantitative analysis of peptide conjugates by mass spectrometry. Another common feature of the ACESIMS and ICAT approaches is that both use conjugates labeled with stable heavy isotopes as internal standards for quantitation. Selected applications of the ACESIMS and ICAT techniques are presented that include molecular-level diagnosis of genetic diseases in children and quantitative determination of protein expression in cells.

Affinity Labels↗
PubMed2005

Computational methods for protein-protein interaction and their application.

Protein-protein interactions play a central role in numerous processes in cell and are one of the main research fields in current functional proteomics. The increase of finished genomic sequences has greatly stimulated the progress for detecting the functions of the genes and their encoded proteins. As complementary ways to the high through-put experimental methods, various methods of bioinformatics have been developed for the study of the protein-protein interaction. These methods range from the sequence homology-based to the genomic-context based. Recently, it tends to integrate the data from different methods to build the protein-protein interaction network, and to predict the protein function from the analysis of the network structure. Efforts are ongoing to improve these methods and to search for novel aspects in genomes that could be exploited for function prediction. This review highlights the recent advances of the bioinformatics methods in protein-protein interaction researches. In the end, the application of the protein-protein interaction has also been discussed.

Computational Biology↗
PubMed2004

Dissection of the mammalian midbody proteome reveals conserved cytokinesis mechanisms.

Cytokinesis is the essential process that partitions cellular contents into daughter cells. To identify and characterize cytokinesis proteins rapidly, we used a functional proteomic and comparative genomic strategy. Midbodies were isolated from mammalian cells, proteins were identified by multidimensional protein identification technology (MudPIT), and protein function was assessed in Caenorhabditis elegans. Of 172 homologs disrupted by RNA interference, 58% displayed defects in cleavage furrow formation or completion, or germline cytokinesis. Functional dissection of the midbody demonstrated the importance of lipid rafts and vesicle trafficking pathways in cytokinesis, and the utilization of common membrane cytoskeletal components in diverse morphogenetic events in the cleavage furrow, the germline, and neurons.

Animals↗
PubMed2001

Cardiovascular proteomics: evolution and potential.

The development of proteomics is a timely one for cardiovascular research. Analyses at the organ, subcellular, and molecular levels have revealed dynamic, complex, and subtle intracellular processes associated with heart and vascular disease. The power and flexibility of proteomic analyses, which facilitate protein separation, identification, and characterization, should hasten our understanding of these processes at the protein level. Properly applied, proteomics provides researchers with cellular protein "inventories" at specific moments in time, making it ideal for documenting protein modification due to a particular disease, condition, or treatment. This is accomplished through the establishment of species- and tissue-specific protein databases, providing a foundation for subsequent proteomic studies. Evolution of proteomic techniques has permitted more thorough investigation into molecular mechanisms underlying cardiovascular disease, facilitating identification not only of modified proteins but also of the nature of their modification. Continued development should lead to functional proteomic studies, in which identification of protein modification, in conjunction with functional data from established biochemical and physiological methods, has the ability to further our understanding of the interplay between proteome change and cardiovascular disease.

Animals↗
PubMed2005

Proteomic approaches in the analysis of hypertension.

The completion of the genomic sequence and the definition of the genes provide a wealth of data to interpret cellular protein expression patterns and relate them to protein function. Proteomics is the large-scale study of proteins in the post-genomic era, aimed at identifying and characterizing protein expression, function, posttranslational modification, regulation, trafficking, interaction and structure, and their perturbation by disease and drug action. The multigenetic background and essentially unknown etiology of hypertension, makes this main killer a prime candidate for proteomic analysis. The classical proteomic approaches are based on two-dimensional gel electrophoretic protein separation and their subsequent identification and characterization by mass spectrometry analysis. However, expression level analysis may not reflect the functional state of proteins and is biased towards long-lived abundant proteins. This review describes a variety of techniques that can be used to identify low-abundance proteins that may be of more functional interest. The modification of classical two-dimensional electrophoresis in order to study post-translational modifications, e.g., phosphorylation, is also discussed.

Amino Acid Sequence↗
PubMed1999

Yeast genome evolution in the post-genome era.

The Saccharomyces cerevisiae genome sequence, augmented by new data on gene expression and function, continues to yield new findings about eukaryote genome evolution. Analysis of the duplicate gene pairs formed by whole-genome duplication indicates that selection for increased levels of gene expression was a significant factor determining which genes were retained as duplicates and which were returned to a single-copy state, possibly in addition to selection for novel gene functions. Proteome comparisons between worm and yeast show that genes for core metabolic processes are shared among eukaryotes and unchanging in function, while comparisons between different yeast species identify 'orphan' genes as the most rapidly evolving fraction of the proteome. Natural hybridisation among yeast species is frequent, but its long-term evolutionary significance is unknown.

Evolution, Molecular↗
PubMed2026

Hidden proteins encoded by non-canonical open reading frames: A review.

There is increasing evidence that translation is not limited to annotated protein-coding genes. Ribosome profiling sequencing, mass spectrometry-based proteomics, and immunopeptidomics have identified the productive translation of non-canonical open reading frames (ORFs). This suggests that the functional proteome includes not only conserved proteins but also proteins hidden in non-coding RNAs and de novo proteins. Some of these translated products are functional peptides, while others may be non-functional, potentially arising from evolutionary events. Several non-canonical ORF-encoded peptides have been found to regulate multiple physiological and pathological functions, particularly in cancer, immunity, and inflammation, indicating that they have potential as biomarkers and novel therapeutic targets. To better understand the diversity of functional peptides and translated non-canonical ORFs based on existing data, we summarize their classification according to transcriptional features and supporting evidence, including non-canonical ORFs located in ncRNAs and canonical mRNAs. This review provides a concise summary of the origin, discovery methods, and classification of non-canonical ORFs. It offers insights into the origins and functions of non-canonical ORF-encoded peptides from an evolutionary perspective, while also exploring the biological functions and regulatory mechanisms of these non-canonical ORF-encoded hidden proteins in tumorigenesis and progression.

Open Reading Frames↗
PubMed2002

Proteomic technologies in modern biomedical science.

This review highlights modern technologies employed in proteomics. Methods of sample preparations are discussed with special emphasis on the requirements for preparation of biological material, which may seriously influence the results of proteomic studies. Methods of solubilization, electrophoresis, chromatographic protein separation, and visualization of protein spots in gels are described. Modern methods of mass spectrometry used in proteomic studies include combination of protein chips with mass spectrometry. The review also describes approaches of functional proteomics, i.e., interactomics, and also bioinformatic resources used in proteomics for image analysis of 2D-gel-electrophoresis and for identification of protein sequences by mass spectra.

Biomedical Research↗
PubMed1998

Comparison of predicted and observed properties of proteins encoded in the genome of Mycobacterium tuberculosis H37Rv.

Proteome studies complement current molecular approaches through analysis of the actively translated portion of the genome (the "functional proteome"). Two-dimensional gel electrophoresis (2-DGE) utilising immobilized pH gradients of pH 2.3-5.0 and pH 6.0-11.0, developed with predetermined regions of overlap compatible with commercially available pH 4.0-7.0 gradients, permitted the display of a significant portion of the proteome of Mycobacterium tuberculosis H37Rv. A significant portion of the M. tuberculosis proteome, in the molecular mass (M(r)) window 5 kDa to 200 kDa and with isoelectric point (pI) between pH 2.3 and 11.0, was visualised for the first time. A total of 493 protein spots were effectively resolved, including 126 spots that could not be seen using standard pH 4.0-7.0 gradients. These results were used to compare the physical properties of the observed proteins to the theoretical predictions of the recently completed M. tuberculosis H37Rv genome. Most proteins were found in the pI and mass window of pH 4.0-7.0 and 10-100 kDa. Analysis of the predicted proteome revealed a bimodal pI distribution, with substantial numbers of proteins in the pI regions 4.0-7.0 and 9.0-12.0 as has been seen for the majority of completed genomes. Such data may reveal current limitations in experimental extraction and separation of extremely basic, high M(r) and hydrophobic proteins via 2-DGE. Conversely, 13 acidic proteins were observed with pI less than the lowest value predicted by the genome. In addition, a subset of small protein (< 10 kDa) were observed within the pI region of pH 5.0-8.0 that were not predicted by the complete genomic sequence, reflecting the current inability to distinguish small genes from within DNA sequence. This work represents the foundation for comparing the protein expression patterns of different pathogenic and nonpathogenic M. tuberculosis strains. The characterization of M. tuberculosis protein expression, further facilitated by the recent completion of the genome sequence, could aid in developing more effective diagnostic or therapeutic reagents.

Bacterial Proteins↗
PubMed2002

Proteomics of breast cancer: outcomes and prospects.

Breast cancer is a major public health problem. The identification of new markers to differentiate neoplastic from the normal cells, more thorough understanding of different stages of the pathology, as well as the definition of new therapeutic targets, are all of critical importance. With the completion of human genome sequencing and the introduction of mass spectrometry, combined with protein identification via advanced bioinformatics, proteomics has emerged as a valuable tool for the discovery of new molecular markers. New methods in functional proteomics have also been developed to study the intracellular signaling pathways that underline the development of breast cancer. As illustrated with the examples of fibroblast growth factor-2 and H19, an oncogenic, noncoding mRNA, proteomics have become a powerful approach for deciphering the complex signaling circuitry involved in tumor growth. Breast cancer proteomics have already identified proteins of potential clinical interest (such as the molecular chaperone 14-3-3 sigma) and technological innovations in large scale/high throughput analysis are now ushering in new prospects.

Breast Neoplasms↗
PubMed2006

Mapping the murine cardiac 26S proteasome complexes.

The importance of proteasomes in governing the intracellular protein degradation process has been increasingly recognized. Recent investigations indicate that proteasome complexes may exist in a species- and cell-type-specific fashion. To date, despite evidence linking impaired protein degradation to cardiac disease phenotypes, virtually nothing is known regarding the molecular composition, function, or regulation of cardiac proteasomes. We have taken a functional proteomic approach to characterize 26S proteasomes in the murine heart. Multidimensional chromatography was used to obtain highly purified and functionally viable cardiac 20S and 19S proteasome complexes, which were subjected to electrophoresis and tandem mass spectrometry analyses. Our data revealed complex molecular organization of cardiac 26S proteasomes, some of which are similar to what were reported in yeast, whereas others exhibit contrasting features that have not been previously identified in other species or cell types. At least 36 distinct subunits (17 of 20S and 19 of 19S) are coexpressed and assembled as 26S proteasomes in this vital cardiac organelle, whereas the expression of PA200 and 11S subunits were detected with limited participation in the 26S complexes. The 19S subunits included a new alternatively spliced isoform of Rpn10 (Rpn10b) along with its primary isoform (Rpn10a). Immunoblotting and immunocytochemistry verified the expression of key alpha and beta subunits in cardiomyocytes. The expression of 14 constitutive alpha and beta subunits in parallel with their three inducible subunits (beta1i, beta2i, and beta5i) in the normal heart was not expected; these findings represent a distinct level of structural complexity of cardiac proteasomes, significantly different from that of yeast and human erythrocytes. Furthermore, liquid chromatography/tandem mass spectroscopy characterized 3 distinct types of post-translational modifications including (1) N-terminal acetylation of 19S subunits (Rpn1, Rpn5, Rpn6, Rpt3, and Rpt6) and 20S subunits (alpha2, alpha5, alpha7, beta3, and beta4); (2) N-terminal myristoylation of a 19S subunit (Rpt2); and (3) phosphorylation of 20S subunits (eg, alpha7)). Taken together, this report presents the first comprehensive characterization of cardiac 26S proteasomes, providing critical structural and proteomic information fundamental to our future understanding of this essential protein degradation system in the normal and diseased myocardium.

Amino Acid Sequence↗
PubMed2006

A functional genomic and proteomic perspective of sea urchin calcium signaling and egg activation.

The sea urchin egg has a rich history of contributions to our understanding of fundamental questions of egg activation at fertilization. Within seconds of sperm-egg interaction, calcium is released from the egg endoplasmic reticulum, launching the zygote into the mitotic cell cycle and the developmental program. The sequence of the Strongylocentrotus purpuratus genome offers unique opportunities to apply functional genomic and proteomic approaches to investigate the repertoire and regulation of Ca(2+) signaling and homeostasis modules present in the egg and zygote. The sea urchin "calcium toolkit" as predicted by the genome is described. Emphasis is on the Ca(2+) signaling modules operating during egg activation, but the Ca(2+) signaling repertoire has ramifications for later developmental events and adult physiology as well. Presented here are the mechanisms that control the initial release of Ca(2+) at fertilization and additional signaling components predicted by the genome and found to be expressed and operating in eggs at fertilization. The initial release of Ca(2+) serves to coordinate egg activation, which is largely a phenomenon of post-translational modifications, especially dynamic protein phosphorylation. Functional proteomics can now be used to identify the phosphoproteome in general and specific kinase targets in particular. This approach is described along with findings to date. Key outstanding questions regarding the activation of the developmental program are framed in the context of what has been learned from the genome and how this knowledge can be applied to functional studies.

Animals↗