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PubMed2000

Functional genomics by mass spectrometry.

Systematic analysis of the function of genes can take place at the oligonucleotide or protein level. The latter has the advantage of being closest to function, since it is proteins that perform most of the reactions necessary for the cell. For most protein based ('proteomic') approaches to gene function, mass spectrometry is the method of choice. Mass spectrometry can now identify proteins with very high sensitivity and medium to high throughput. New instrumentation for the analysis of the proteome has been developed including a MALDI hybrid quadrupole time of flight instrument which combines advantages of the mass finger printing and peptide sequencing methods for protein identification. New approaches include the isotopic labeling of proteins to obtain accurate quantitative data by mass spectrometry, methods to analyze peptides derived from crude protein mixtures and approaches to analyze large numbers of intact proteins by mass spectrometry directly. Examples from this laboratory illustrate biological problem solving by modern mass spectrometric techniques. These include the analysis of the structure and function of the nucleolus and the analysis of signaling complexes.

Genome↗
PubMed2003

An accurate, sensitive, and scalable method to identify functional sites in protein structures.

Functional sites determine the activity and interactions of proteins and as such constitute the targets of most drugs. However, the exponential growth of sequence and structure data far exceeds the ability of experimental techniques to identify their locations and key amino acids. To fill this gap we developed a computational Evolutionary Trace method that ranks the evolutionary importance of amino acids in protein sequences. Studies show that the best-ranked residues form fewer and larger structural clusters than expected by chance and overlap with functional sites, but until now the significance of this overlap has remained qualitative. Here, we use 86 diverse protein structures, including 20 determined by the structural genomics initiative, to show that this overlap is a recurrent and statistically significant feature. An automated ET correctly identifies seven of ten functional sites by the least favorable statistical measure, and nine of ten by the most favorable one. These results quantitatively demonstrate that a large fraction of functional sites in the proteome may be accurately identified from sequence and structure. This should help focus structure-function studies, rational drug design, protein engineering, and functional annotation to the relevant regions of a protein.

Amino Acid Motifs↗
PubMed2002

Global profiling of the cell surface proteome of cancer cells uncovers an abundance of proteins with chaperone function.

There is currently limited data available pertaining to the global characterization of the cell surface proteome. We have implemented a strategy for the comprehensive profiling and identification of surface membrane proteins. This strategy has been applied to cancer cells, including the SH-SY5Y neuroblastoma, the A549 lung adenocarcinoma, the LoVo colon adenocarcinoma, and the Sup-B15 acute lymphoblastic leukemia (B cell) cell lines and ovarian tumor cells. Surface membrane proteins of viable, intact cells were subjected to biotinylation then affinity-captured and purified on monomeric avidin columns. The biotinylated proteins were eluted from the monomeric avidin columns as intact proteins and were subsequently separated by two-dimensional PAGE, transferred to polyvinylidene difluoride membranes, and visualized by hybridization with streptavidin-horseradish peroxidase. Highly reproducible, but distinct, two-dimensional patterns consisting of several hundred biotinylated proteins were obtained for the different cell populations analyzed. Identification of a subset of biotinylated proteins among the different cell populations analyzed using matrix-assisted laser desorption ionization and tandem mass spectrometry uncovered proteins with a restricted expression pattern in some cell line(s), such as CD87 and the activin receptor type IIB. We also identified more widely expressed proteins, such as CD98, and a sushi repeat-containing protein, a member of the selectin family. Remarkably, a set of proteins identified as chaperone proteins were found to be highly abundant on the cell surface, including GRP78, GRP75, HSP70, HSP60, HSP54, HSP27, and protein disulfide isomerase. Comprehensive profiling of the cell surface proteome provides an effective approach for the identification of commonly occurring proteins as well as proteins with restricted expression patterns in this compartment.

Activin Receptors, Type II↗
PubMed2006

Analysis of bronchoalveolar lavage fluid proteome from systemic sclerosis patients with or without functional, clinical and radiological signs of lung fibrosis.

Lung fibrosis is a major cause of mortality and morbidity in systemic sclerosis (SSc). However, its pathogenesis still needs to be elucidated. We examined whether the alteration of certain proteins in bronchoalveolar lavage fluid (BALF) might have a protective or a causative role in the lung fibrogenesis process. For this purpose we compared the BALF protein profile obtained from nine SSc patients with lung fibrosis (SScFib+) with that obtained from six SSc patients without pulmonary fibrosis (SScFib-) by two-dimensional gel electrophoresis (2-DE). Only spots and spot-trains that were consistently expressed in a different way in the two study groups were taken into consideration. In total, 47 spots and spot-trains, corresponding to 30 previously identified proteins in human BALF, showed no significant variation between SScFib+ patients and SScFib- patients, whereas 24 spots showed a reproducible significant variation in the two study groups. These latter spots corresponded to 11 proteins or protein fragments, including serum albumin fragments (13 spots), 5 previously recognized proteins (7 spots), and 4 proteins (3 spots) that had not been previously described in human BALF maps, namely calumenin, cytohesin-2, cystatin SN, and mitochondrial DNA topoisomerase 1 (mtDNA TOP1). Mass analysis did not determine one protein-spot. The two study groups revealed a significant difference in BALF protein composition. Whereas levels of glutathione S-transferase P (GSTP), Cu-Zn superoxide dismutase (SOD) and cystatin SN were downregulated in SScFib+ patients compared with SScFib- patients, we observed a significant upregulation of alpha1-acid glycoprotein, haptoglobin-alpha chain, calgranulin (Cal) B, cytohesin-2, calumenin, and mtDNA TOP1 in SScFib+ patients. Some of these proteins (GSTP, Cu-Zn SOD, and cystatin SN) seem to be involved in mechanisms that protect lungs against injury or inflammation, whereas others (Cal B, cytohesin-2, and calumenin) seem to be involved in mechanisms that drive lung fibrogenesis. Even if the 2-DE analysis of BALF did not provide an exhaustive identification of all BALF proteins, especially those of low molecular mass, it allows the identification of proteins that might have a role in lung fibrogenesis. Further longitudinal studies on larger cohorts of patients will be necessary to assess their usefulness as predictive markers of disease.

Bronchoalveolar Lavage Fluid↗
PubMed2004

Application of proteomics in the study of tumor metastasis.

Tumor metastasis is the dominant cause of death in cancer patients. However, the molecular and cellular mechanisms underlying tumor metastasis are still elusive. The identification of protein molecules with their expressions correlated to the metastatic process would help to understand the metastatic mechanisms and thus facilitate the development of strategies for the therapeutic interventions and clinical management of cancer. Proteomics is a systematic research approach aiming to provide the global characterization of protein expression and function under given conditions. Proteomic technology has been widely used in biomarker discovery and pathogenetic studies including tumor metastasis. This article provides a brief review of the application of proteomics in identifying molecular factors in tumor metastasis process. The combination of proteomics with other experimental approaches in biochemistry, cell biology, molecular genetics and chemistry, together with the development of new technologies and improvements in existing methodologies will continue to extend its application in studying cancer metastasis.

Gene Expression Profiling↗
PubMed2005

Annotating the human proteome.

The completion of the human genome has shifted the attention from deciphering the sequence to the identification and characterization of the encoded components. The identification and functional annotation of the proteome is here of special interest and starts with the identification of genes and transcripts as a prerequisite of proteome annotation. Gene predictions are very powerful in predicting most of the exons in a genome, but reliable gene structure predictions of both known and novel genes are dependent on existing transcript and protein information. An enormous amount of data already exists on the function of many human proteins, but this is scattered over many resources. Public domain databases are required to manage and collate this information and present it to the user community in both a human and machine readable manner.

Databases, Factual↗
PubMed2001

Proteome Analysis Database: online application of InterPro and CluSTr for the functional classification of proteins in whole genomes.

The SWISS-PROT group at EBI has developed the Proteome Analysis Database utilising existing resources and providing comparative analysis of the predicted protein coding sequences of the complete genomes of bacteria, archaea and eukaryotes (http://www.ebi.ac. uk/proteome/). The two main projects used, InterPro and CluSTr, give a new perspective on families, domains and sites and cover 31-67% (InterPro statistics) of the proteins from each of the complete genomes. CluSTr covers the three complete eukaryotic genomes and the incomplete human genome data. The Proteome Analysis Database is accompanied by a program that has been designed to carry out InterPro proteome comparisons for any one proteome against any other one or more of the proteomes in the database.

Animals↗
PubMedDate not supplied

Proteome analysis of primary neurons and astrocytes from rat cerebellum.

Neurons and astrocytes are predominant cell types in brain and have distinguished morphological and functional features. Although several proteomics studies were carried out on the brain, work on individual brain cells is limited. Generating individual proteomes of neurons and astrocytes, however, is mandatory to assign protein expression to cell types rather than to tissues. We aimed to provide maps of rat primary neurons and astrocytes using two-dimensional gel electrophoresis with subsequent in-gel digestion, followed by MALDI-TOF/TOF. 428 protein spots corresponding to 226 individual proteins in neurons and 406 protein spots representing 228 proteins in astrocytes were unambiguously identified. Proteome data include proteins from several cascades differentially expressed in neurons and astrocytes, and specific expressional patterns of antioxidant, signaling, chaperone, cytoskeleton, nucleic acid binding, proteasomal, and metabolic proteins are demonstrated. We herein present a reference database of primary rat primary neuron and astrocyte proteomes and provide an analytical tool for these structures. The concomitant expressional patterns of several protein classes are given and potential neuronal and astrocytic marker candidates are presented.

Animals↗
PubMed2005

Systems toxicology: applications of toxicogenomics, transcriptomics, proteomics and metabolomics in toxicology.

Toxicogenomics can facilitate the identification and characterization of toxicity, as illustrated in this review. Toxicogenomics, the application of the functional genomics technologies (transcriptomics, proteomics and metabolomics) in toxicology enables the study of adverse effects of xenobiotic substances in relation to structure and activity of the genome. The advantages and limitations of the different technologies are evaluated, and the prospects for integration of the technologies into a systems biology or systems toxicology approach are discussed. Applications of toxicogenomics in various laboratories around the world show that the crucial steps and sequence of events at the molecular level can be studied to provide detailed insights into mechanisms of toxic action. Toxicogenomics allowed for more sensitive and earlier detection of adverse effects in (animal) toxicity studies. Furthermore, the effects of exposure to mixtures could be studied in more detail. This review argues that in the (near) future, human health risk assessment will truly benefit from toxicogenomics (systems toxicology).

Animals↗
PubMed2002

Advances in quantitative proteomics using stable isotope tags.

A great deal of current biological and clinical research is directed at the interpretation of the information contained in the human genome sequence in terms of the structure, function and control of biological systems and processes. Proteomics, the systematic analysis of proteins, is becoming a critical component in this endeavor because proteomic measurements are carried out directly on proteins--the catalysts and effectors of essentially all biological functions. To detect changes in protein profiles that might provide important diagnostic or functional insights, proteomic analyses necessarily have to be quantitative. This article summarizes recent technological advances in quantitative proteomics.

Animals↗
PubMed2002

Separation and identification of human heart proteins.

Heart failure is not a uniform disease entity, but a syndrome with various causes, including hypertension, ischemia and congenital heart disease, cardiomyopathy, myocarditis and intoxication. During the recent years a number of molecular and cellular alterations have been identified in the diseased heart, but a direct causative link between these changes and functional impairment, medical responsiveness, progression of the disease and the patients' outcome remains to be established. After an accumulation of large amounts of DNA sequence data in genomic projects, scientists have now turned their attention to the central executors of all programs of life, the proteins. In complementation of the genomic initiatives, proteomics based approaches have lined up not only for large-scale identification of proteins and their post-translational modifications, but also to study the function of protein complexes, protein-protein interactions and regulatory and signalling cascades in the cellular network. In concert with genomic data functional proteomics will hold the key for a better understanding and therapeutical management of cardiovascular diseases in the future.

Humans↗
PubMed2006

Novel approaches to analyse glomerular proteins from smallest scale murine and human samples using DIGE saturation labelling.

Loss of renal function is often associated with the injury of kidney glomeruli. It is therefore necessary to understand the mechanisms leading to progressive glomerular diseases; this may be addressed using proteomics. Until now, however, analysis of the glomeruli proteome using 2-DE has been technically hampered by low protein yields from scarce samples. To circumvent this problem, we developed a procedure which allows the human and mouse glomeruli proteome to be analysed. In this study, two different approaches were used to isolate mouse and human glomerular protein from kidney cortex. Mouse glomeruli were extracted by embolisation magnetic beads into the glomerular capillaries. Laser capture microdissection (LCM) was utilised to harvest glomeruli from human biopsy material. Human and murine samples were analysed using a fluorescence saturation labelling technique. Using 3 microg mouse glomerular protein a total of 2900 spots were resolved for differential proteome analysis. Moreover, it was also demonstrated for the first time that only ten glomeruli (0.5 microg) picked by LCM from a slide of a human kidney biopsy material were sufficient to visualise 900 spots. This novel strategy paves the way for future experiments aimed at investigating functional proteomics of glomerular diseases in humans and in mice.

Animals↗
PubMed2003

Proteomics and transcriptomics analyses of secretagogin down-regulation in human non-functional pituitary adenomas.

In order to explore the presence of, and the potential role of, secretagogin in human pituitary adenomas, an analytical strategy that integrated comparative proteomics and comparative transcriptomics was used to detect the protein and the mRNA expression, respectively, of secretagogin in human non-functional pituitary adenomas compared to controls. Proteomics methods included two-dimensional gel electrophoresis, 2D gel image analysis, mass spectrometry [matrix-assisted laser desorption/ionization-time of flight-peptide mass fingerprinting (MALDI-TOF PMF) and liquid chromatography-electrospray ionization-quadrupole-ion trap tandem mass spectrometry (LC-ESI-Q-IT MS/MS)], and database analysis. Transcriptomics methods included the GeneChip microarray, image processing, and data analysis. The proteomics and transcriptomics data demonstrated that secretagogin was significantly down-regulated at the protein and mRNA levels, respectively, in the human non-functional (NF) pituitary adenomas (NF-, LH+, FSH+, and FSH+ + LH+). For the secretagogin protein, the expression level was NF- < FSH+ + LH+ < FSH+ < LH+ < Control, with a range of down-regulation of 2.2-6.9 fold in non-functional pituitary adenomas compared to controls, with a significant difference (p < 0.001). For secretagogin mRNA, the expression level was NF- < LH+ < FSH+ + LH+ < FSH+ < Control, with a range of down-regulation of 1.8-18.6 fold in non-functional pituitary adenomas compared to controls that was significant (p < 0.05). The secretagogin protein expression correlated significantly with its mRNA expression. Those results suggest that secretagogin might play a role in human non-functional pituitary adenomas. This novel finding may provide clues to clarify the basic molecular mechanisms of pituitary adenoma formation, and to identify new tumor-related markers.

Adenoma↗
PubMed2004

[Recent advances of protein phosphorylation in proteome].

With the advent of post-genomic era, it is an important task to study the expression, modification and interaction of the total proteins in cells, tissue and organs for proteomics in biological organism. The protein phosphorylation is one of the most popular mechanisms in signal transduction and enzyme modulation. It is estimated that about 2% of the total genes encoded 500 kinases and 100 phosphatases in human genome. As the key point of expression modulation in prokaryotic and eukaryotic cells, the protein phosphorylation and dephosphorylation may help to reveal the status of the life system at the molecular level. The phosphorylation in proteome remains challenging for functional genomics. In the present review, some new advances such as identification and characterization of protein phosphorylation in proteome are summarized.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2005

Functional Genomics meets neurodegenerative disorders Part I: transcriptomic and proteomic technology.

Transcriptomics and proteomics are increasingly applied to gain a mechanistic insight into neurodegenerative disorders. These techniques not only identify distinct, differentially expressed mRNAs and proteins but are also employed to dissect signaling pathways and reveal networks by using an integrated approach. In part I of this back-to-back review, technical aspects are discussed: in the transcriptomics section, which includes enrichment by laser microcapture dissection, we comment on qRT-PCR, SAGE, subtractive hybridization, differential display and microarrays, including software packages. In the proteomics section we discuss two-dimensional (2D) gel electrophoresis, liquid chromatography, methods to label and enrich specific proteins or peptides, and different types of mass spectrometers. These tools have been applied to a range of neurodegenerative disorders and are discussed and integrated in part II (Functional Genomics meets neurodegenerative disorders. Part II: application and data integration).

Animals↗
PubMed2002

Proteomic analysis of the Arabidopsis thaliana cell wall.

With the completion of the Arabidopsis genome, many hypothetical proteins have been predicted without any information on their expression, subcellular localisation and function. We have performed proteomic analysis of proteins sequentially extracted from enriched Arabidopsis cell wall fractions and separated by two-dimensional gel electrophoresis (2-DE). The proteins were identified by peptide mass fingerprinting using matrix-assisted laser desorption/ionisation-time of flight (MALDI-TOF) mass spectrometry and genomic database searches. This is part of a targeted exercise to establish the entire Arabidopsis secretome database. We report evidence for new proteins of unknown function whose existence had been predicted from genomic sequences and, furthermore, localise them to the cell wall. In addition, we observed an unexpected presence in the cell wall preparations of proteins whose known biochemical activity has never been associated with this compartment hitherto. We discuss the implications of these findings and present results suggesting a possible involvement of cell wall kinases in plant responses to pathogen attack.

Arabidopsis↗
PubMed2005

System, trends and perspectives of proteomics in dicot plants Part II: Proteomes of the complex developmental stages.

This review is devoted to the proteomes of the complex developmental stages of dicotyledoneous (dicot) plant materials. The two core technologies, two-dimensional gel electrophoresis (2-DGE) and mass spectrometry (MS), independently or in combination with each other, are propelling dicot plant proteomics to new discoveries and functions, with the establishment of tissue-specific and organelle proteomes, mostly in Arabidopsis thaliana and Medicago truncatula, revealing their complexity and specificity. These experimental proteomes have provided a good start towards the establishment of high-density 2-DGE reference maps and peptide mass fingerprint databases, for not only the model dicot plants, A. thaliana and M. truncatula, but also other important dicot plants, which will serve as a basis for proteomes of many other dicot plants and plant materials.

Arabidopsis↗