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Biomic study of human myeloid leukemia cells differentiation to macrophages using DNA array, proteomic, and bioinformatic analytical methods.

A biomic approach by integrating three independent methods, DNA microarray, proteomics and bioinformatics, is used to study the differentiation of human myeloid leukemia cell line HL-60 into macrophages when induced by 12-O-tetradecanoyl-phorbol-13-acetate (TPA). Analysis of gene expression changes at the RNA level using cDNA against an array of 6033 human genes showed that 5950 (98.6%) of the genes were expressed in the HL-60 cells. A total of 624 genes (10.5%) were found to be regulated during HL-60 cell differentiation. Most of these genes have not been previously associated with HL-60 cells and include genes encoded for secreted proteins as well as genes involved in cell adhesion, signaling transduction, and metabolism. Protein analysis using two-dimensional gel electrophoresis showed a total of 682 distinct protein spots; 136 spots (19.9%) exhibited quantitative changes between HL-60 control and macrophages. These differentially expressed proteins were identified by mass spectrometry. We developed a bioinformatics program, the Bulk Gene Search System (BGSS, http://www.sinica.edu.tw:8900/perl/genequery.pl) to search for the functions of genes and proteins identified by cDNA microarrays and proteomics. The identified regulated proteins and genes were classified into seven groups according to subcellular locations and functions. This powerful holistic biomic approach using cDNA microarray, proteomics coupled to bioinformatics can provide in-depth information on the impact and importance of the regulated genes and proteins for HL-60 differentiation.

Cell Differentiation↗

Proteome analysis of human stomach tissue: separation of soluble proteins by two-dimensional polyacrylamide gel electrophoresis and identification by mass spectrometry.

Two-dimensional gel electrophoresis (2-DE) maps for human stomach tissue proteins have been prepared by displaying the protein components of the tissue by 2-DE and identifying them using mass spectrometry. This will enable us to present an overview of the proteins expressed in human stomach tissues and lays the basis for subsequent comparative proteome analysis studies with gastric diseases such as gastric cancer. In this study, 2-DE maps of soluble fraction proteins were prepared on two gel images with partially overlapping pH ranges of 4-7 and 6-9. On the gels covering pH 4-7 and pH 6-9, about 900 and 600 protein spots were detected by silver staining, respectively. For protein identification, proteins spots on micropreparative gels stained with colloidal Coomassie Brilliant Blue G-250 were excised, digested in-gel with trypsin, and analyzed by peptide mass fingerprinting with delayed extraction-matrix assisted laser desorption/ionization-mass spectrometry (DE-MALDI-MS). In all, 243 protein spots (168 spots in acidic map and 75 spots in basic map) corresponding to 136 different proteins were identified. Besides these principal maps, overview maps (displayed on pH 3-10 gels) for total homogenate and soluble fraction, are also presented with some identifications mapped on them. Based on the 2-DE maps presented in this study, a 2-DE database for human stomach tissue proteome has been constructed and is available at http://proteome.gsnu.ac.kr/DB/2DPAGE/Stomach/. The 2-DE maps and the database resulting from this study will serve important resources for subsequent proteomic studies for analyzing the normal protein variability in healthy tissues and specific protein variations in diseased tissues.

Databases, Protein↗

Phospho-proteomics: evaluation of the use of enzymatic de-phosphorylation and differential mass spectrometric peptide mass mapping for site specific phosphorylation assignment in proteins separated by gel electrophoresis.

Detection of phosphorylated proteins as well as assignment of the phosphorylated sites in such proteins is a major challenge in proteomics. In the present study we evaluate the use of enzymatic de-phosphorylation in combination with differential peptide mass mapping for identification of phosphorylated peptides in peptide mixtures derived from in-gel digested phospho-proteins. Phospho-peptides could be identified provided that improved sample preparation methods prior to mass spectrometric analysis were used. An attempt to identify the proteins visualized by [32P] autoradiography in a proteomics study and their phosphorylation sites, demonstrated that protein identification was possible whereas reliable identification of the phospho-peptides requires more protein than normally available in our proteomics studies.

Alkaline Phosphatase↗

Proteome studies of human cerebrospinal fluid and brain tissue using a preparative two-dimensional electrophoresis approach prior to mass spectrometry.

A preparative proteomic approach, involving liquid phase isoelectric focusing (IEF) in combination with one-dimensional electrophoresis and electroelution followed by mass spectrometry and database searches, was found to be an important tool for identifying low-abundant proteins (microgram/L) in human cerebrospinal fluid (CSF) and membrane proteins in human frontal cortex. Several neuron-related proteins, such as amyloid precursor-like protein, chromogranins A and B, glial fibrillary acid protein, beta-trace, transthyretin, ubiquitin, and cystatin C, were identified in CSF. Several types of proteins were also characterized from a detergent-solubilized human frontal cortex homogenate including membrane proteins such as synaptophysin, syntaxin and Na+/K+ ATPase. One-third of the identified proteins have not previously been identified in human CSF or human frontal cortex using proteomic techniques. The absence of these proteins in two-dimensional electrophoresis maps might be due to insufficient amounts or low solubility. The advantages of using preparative liquid phase electrophoretic separations for identifying proteins from complex biological mixtures are speed of analysis, high loadability in the IEF separation, nondiscrimination of membrane proteins or low abundance proteins, yielding sufficient amounts for characterization by mass spectrometry. The use of this strategy in proteome studies of CSF/brain tissue is expected to offer new perspectives in studies of the pathology of neurodegenerative diseases, and reveal new potential markers for brain disorders.

Brain Chemistry↗

Comparative proteomics of bacterial pathogens.

The monitoring of gene expression via the technologies encompassed under the term 'proteomics' allows proteins of significance to be related to phenotypes associated with strain variability, environmental influences and the effects of genetic manipulation. The characterizations of these molecules are routinely performed utilising two-dimensional (2-D) gel electrophoresis in association with mass spectrometry for the identification of proteins. Pathogenic bacteria are suitable for proteomic comparisons in the aim of elucidating proteins with vaccine and diagnostic applications, as well as determining novel targets for drug design and the effects of these drugs on cellular physiology. Strains exhibiting diverse phenotypes including antibiotic or chemical resistances, altered mode of pathogenicity, or differential capability of growth in similar environments, can be compared via protein differential display to correlate relative protein abundances associated with these conditions. Technically, proteins are 'mapped' on 2-D arrays under 'standard' conditions and visually compared to arrays of proteins from a variety of test conditions. High-throughput technologies allow molecules of significance to be elucidated rapidly from within complex mixtures using a combination of cellular pre fractionation to determine cellular location and pathway predictions to aid in overcoming the limitations of 2-D gel technology for the analysis of whole proteomes.

Bacteria↗

Proteomic analysis of rare molecular species of translated polypeptides from a mouse fetal thymus cDNA library.

Proteomic patterns from an ordered cDNA library of mouse fetal thymus origin of an overall complexity of 1536 clones are described. Patterns have been analyzed at 96, 12, or 8 clones in a mixture, or as individual clones. Clones yield in some instances a single spot, in other cases a complex cluster or family of spots is formed. The determination of the clonal address (a six-digit number, indicating the interception of three pooling dimensions) by inspection of pools of 8, 12 or 16 clones is a reliable approach; nevertheless a complete proof consists in retrieving the clone and then submitting to transcription, translation and proteomic analysis. The spot clusters are meaningful clone identifiers; cluster components (families of polypeptides) are characteristic of individual clones and are independent of clones coexisting (and being co-expressed) in a given pool. A 'cluster' originates from a single cloned message and might be due to post-translational modification (offered by the reticuleocyte machinery) or as a result of programmed degradation. Thirteen clones or families of clonal products are shown, and the heterogeneity of the 'appearance' of clones is documented. In about half, the assignment of a clonal polypeptide product to a storage well position has failed; this might be due to a variety of considerations elaborated herein. The arguments are presented, that analysis of abundant proteins of a cell (activated lymphocyte) comprises 'classical proteomics', but for the analysis of the rare molecular species of proteins, Poissonian approaches of replicable material have to be used.

Animals↗

Identification of tumor antigens in renal cell carcinoma by serological proteome analysis.

We have investigated the suitability of proteomics for identification of tumor-associated antigens. First, we compared the proteomes of nontumorous kidney and renal cell carcinoma (RCC) by two-dimensional gel electrophoresis (2-DE) and silver staining. Protein patterns were markedly different (approximately 800 spots in RCCs versus approximately 1400 spots in kidney). 2-DE immunoblotting revealed five RCC-specific spots, reproducibly reactive with RCC-patient but not healthy donor control sera. Two of these antigens were isolated by preparative 2-DE, and identified by Edman sequencing of tryptic peptides. The first antigen, smooth muscle protein 22-alpha (SM22-alpha), is an actin-binding protein of unknown function predominantly expressed in smooth muscle cells. In situ hybridization revealed that SM22-alpha is not expressed in the malignant cells but in mesenchymal cells of the tumor stroma. The second antigen represents carbonic anhydrase I (CAI), an isoform usually not expressed in kidney. Interestingly, a different isoform (CAXII) has previously been identified by serological expression cloning as an antigen overexpressed in some RCCs. In additional assays, antibodies to recombinant CAI or SM22-alpha were detected in sera from 3/11 or 5/11 RCC patients, respectively, whereas sera from 13 healthy individuals did not react. In conclusion, serological proteome analysis may be a new tool for the identification of tumor-associated antigens.

Amino Acid Sequence↗

Similarity of the Escherichia coli proteome upon completion of different biopharmaceutical fermentation processes.

A comprehensive view of the physiological state of Escherichia coli cells at the completion of fermentation processes for biopharmaceutical production was attained via two-dimensional gel electrophoretic analysis of cellular proteins. For high cell density fermentations in which phosphate is depleted to induce recombinant protein expression from the alkaline phosphatase promoter, proteome analysis confirms that phosphate limitation occurs. Known phosphate starvation inducible proteins are observed at high levels; these include the periplasmic phosphate binding protein and the periplasmic phosphonate binding protein. The phn (EcoK) locus of these E. coli K-12 strains remains cryptic, as demonstrated by failure to grow with phosphonate as the sole phosphorus source. Proteome analysis also provided evidence that cells utilize alternative carbon and energy sources during these fermentation processes. To address regulatory issues in the biopharmaceutical industry, comparative electrophoretic analyses were conducted on a qualitative basis for four different fermentation processes. Using this approach, the protein profiles for these processes were found to be highly similar, with the vast majority (85-90%) of proteins detected in all profiles. The observed similarity in proteomes suggests that multiproduct host cell protein immunoassays are a feasible means of quantifying host-derived polypeptides from a variety of biopharmaceutical fermentation processes.

Biopharmaceutics↗

New approaches to proteomic analysis of breast cancer.

Proteomic based approaches are beginning to be utilized to study the natural history and treatment of breast cancer. A variety of proteomics approaches are under study, and are summarized herein. Two-dimensional gel electrophoresis (2D-PAGE) is still the foundation of most proteomics studies. We present an analysis of 2D-PAGE studies reported to date in breast cancer, including those examining normal/tumor differences and selected populations of breast cells. Newer technologies such as laser capture microdissection and highly sensitive mass spectrometry methods are currently being used together to identify greater numbers of lower abundance proteins that are differentially expressed between defined cell populations. Novel technologies still in developmental phases will enable identification of validated targets in small biopsy specimens, including high density protein arrays, antibody arrays and lysate arrays. Surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) analysis enables the high throughput characterization of lysates from very few tumor cells and may be best suited for clinical biomarker studies. We present SELDI-TOF data herein to show the accuracy of the method in a small cohort of breast tumors, as well as its potential discriminatory capability. Such technologies are expected to supplement our armamentarium of mRNA-based assays, and provide critical information on protein levels and post-translational modifications.

Breast Neoplasms↗

Proteomic analysis of the brain in Alzheimer's disease: molecular phenotype of a complex disease process.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder accounting for about 50% of all dementias, yet its pathogenic mechanisms remain poorly understood. In order to provide a more complete picture of pathogenesis in AD, we analysed six human brain regions for alterations in their proteomes. Quantitative proteome analysis was used to compare signals corresponding to individual proteins between post mortem brain tissues from persons with AD, and those from age-matched nondemented control (NC) tissues. In severely injured brain regions, 76 proteins were differentially expressed in AD hippocampus compared with NC, 62 proteins were differentially expressed in temporal cortex, and 39 proteins were differentially expressed in entorhinal cortex. Significant differences were also present in relatively spared regions. Thus, 34 proteins were differentially expressed in AD cerebellum compared with NC, 125 proteins were differentially expressed in cingulate gyrus, and 75 proteins were differentially expressed in sensorimotor cortex. The identity of 37 of these proteins was determined, and the possible relevance of changes in key pathogenic pathways analysed. These studies provide a unique snapshot illustrating the complexity of interrelated disease mechanisms at work in a complex, multifactorial disease, and show that comparative proteome analysis is a method with the power to develop important new insights into pathogenic mechanisms in the dementias.

Alzheimer Disease↗

Towards complete analysis of the platelet proteome.

Platelets exert a crucial function in haemostasis, wound repair, and the formation of vascular plugs, underlying thrombotic diseases such as stroke and myocardial infarction. Analysis of platelet biochemistry is largely dependent on protein analysis as platelets are anucleated cells providing little analytical target for DNA or RNA based strategies. Here we present data from our analysis of the human platelet proteome, the entire set of proteins building a platelet at a given point in time. Proteins were separated by two-dimensional electrophoresis (2-DE) using broad and narrow range pH gradients in the isoelectric focusing step. Consequently, a high-resolution 2-DE proteome map has been generated that comprises approximately 2300 different protein features. From the 536 protein features detected in the 4-5 pI range 284 features were identified by electrospray ionisation time of flight tandem mass spectrometry. These 284 proteins originate from 123 different open reading frames. This includes the five human proteins KIAA0193, KIAA0573, KIAA0830, WUGSC:H_DJ0777O23 protein, and cytokine receptor related protein 4, all isolated for the first time. The data are discussed with regard to proteome characteristics, protein function, and the high prevalence of signalling molecules. This study contributes to a more thorough and holistic understanding of platelet biology, helping to build the basis for future identification of new drug targets and therapeutic strategies.

Blood Platelets↗

An accurate mass tag strategy for quantitative and high-throughput proteome measurements.

We describe and demonstrate a global strategy that extends the sensitivity, dynamic range, comprehensiveness, and throughput of proteomic measurements based upon the use of peptide "accurate mass tags" (AMTs) produced by global protein enzymatic digestion. The two-stage strategy exploits Fourier transform-ion cyclotron resonance (FT-ICR) mass spectrometry to validate peptide AMTs for a specific organism, tissue or cell type from "potential mass tags" identified using conventional tandem mass spectrometry (MS/MS) methods, providing greater confidence in identifications as well as the basis for subsequent measurements without the need for MS/MS, and thus with greater sensitivity and increased throughput. A single high resolution capillary liquid chromatography separation combined with high sensitivity, high resolution and accurate FT-ICR measurements has been shown capable of characterizing peptide mixtures of significantly more than 10(5) components with mass accuracies of < 1 ppm, sufficient for broad protein identification using AMTs. Other attractions of the approach include the broad and relatively unbiased proteome coverage, the capability for exploiting stable isotope labeling methods to realize high precision for relative protein abundance measurements, and the projected potential for study of mammalian proteomes when combined with additional sample fractionation. Using this strategy, in our first application we have been able to identify AMTs for >60% of the potentially expressed proteins in the organism Deinococcus radiodurans.

Amino Acid Sequence↗

Analysis of the proteome in the human pituitary.

The pituitary is the master endocrine gland responsible for the regulation of various physiologic and metabolic processes. Proteomics offers an efficient means for a comprehensive analysis of pituitary protein expression. This paper reports on the application of proteomics for the mapping of major proteins in a normal (control) pituitary. Pituitary proteins were separated by two-dimensional gel electrophoresis with immobilized pH 3-10 gradient strips. Major protein spots that were visualized in the two-dimensional gel by silver staining were excised, and the proteins in these spots were digested with trypsin. The tryptic digests were analyzed by mass spectrometry, and the mass spectrometric data were used to identify the proteins through searches of the SWISS-PROT or NCBInr protein sequence databases. The majority of the proteins were identified on the basis of peptide mass fingerprinting data obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Several proteins were also characterized based on product-ion spectra measured by post-source decay analysis and/or liquid chromatography-electrospray-quadrupole ion trap mass spectrometry. To date, 62 prominent protein spots, corresponding to 38 different proteins, were identified. The identified proteins include important pituitary hormones, structural proteins, enzymes, and other proteins. The protein identification data were used to establish a two-dimensional reference database of the human pituitary, which can be accessed over the Internet (http://www.utmem.edu/proteomics). This database will serve as a tool for further proteomics studies of pituitary protein expression in health and disease.

Computational Biology↗

Proteomic analysis of rat soleus muscle undergoing hindlimb suspension-induced atrophy and reweighting hypertrophy.

A proteomic analysis was performed comparing normal rat soleus muscle to soleus muscle that had undergone either 0.5, 1, 2, 4, 7, 10 and 14 days of hindlimb suspension-induced atrophy or hindlimb suspension-induced atrophied soleus muscle that had undergone 1 hour, 8 hour, 1 day, 2 day, 4 day and 7 days of reweighting-induced hypertrophy. Muscle mass measurements demonstrated continual loss of soleus mass occurred throughout the 21 days of hindlimb suspension; following reweighting, atrophied soleus muscle mass increased dramatically between 8 hours and 1 day post reweighting. Proteomic analysis of normal and atrophied soleus muscle demonstrated statistically significant changes in the relative levels of 29 soleus proteins. Reweighting following atrophy demonstrated statistically significant changes in the relative levels of 15 soleus proteins. Protein identification using mass spectrometry was attempted for all differentially regulated proteins from both atrophied and hypertrophied soleus muscle. Five differentially regulated proteins from the hindlimb suspended atrophied soleus muscle were identified while five proteins were identified in the reweighting-induced hypertrophied soleus muscles. The identified proteins could be generally grouped together as metabolic proteins, chaperone proteins and contractile apparatus proteins. Together these data demonstrate that coordinated temporally regulated changes in the skeletal muscle proteome occur during disuse-induced soleus muscle atrophy and reweighting hypertrophy.

Amino Acid Sequence↗

Identification of vaccine candidate antigens of Staphylococcus aureus by serological proteome analysis.

In this study we applied serological proteome analysis (Klade, C. S. et al. Proteomics 2001, 1, 890-898) for identification of bacterial vaccine candidate antigens. First, approximately one hundred sera from healthy individuals and patients suffering from Staphylococcus aureus infections were screened for antibodies against staphylococcal lysates and recombinant proteins representing surface antigens. Two pools (healthy donors, patients) each consisting of five sera with the highest antiproteinaceous IgG reactivity were selected. Second, S. aureus COL was grown under different conditions and the number of antigens expressed was monitored by Western blot analysis. Third, surface proteins were enriched by digesting the bacterial cell wall under isotonic conditions and subsequent removal of protoplasts. These protein preparations were resolved by two-dimensional electrophoresis (2-DE) (pI 4-7). 2-DE immunoblotting using the preselected serum pools at 1:10 000-1:100 000 dilutions revealed a number of highly immunogenic staphylococcal proteins. Twenty-one spots were isolated by preparative 2-DE, and analysed by matrix-assisted laser desorption/ionization mass spectrometry and tandem mass spectrometry sequencing of tryptic peptides. This led to the identification of 15 proteins including known and novel vaccine candidates. Seroreactivity of several antigens including serine-aspartate repeat containing protein D, immuno-dominant staphylococcal antigen and a novel 309 amino acid lipoprotein was independently confirmed by enzyme-linked immunosorbent assay and Western blot analysis of purified recombinant proteins. In conclusion, serological proteome analysis proved to be a powerful tool for the identification of novel staphylococcal antigens, which provide a basis for rational vaccine design.

Adult↗

A survey of the plant mitochondrial proteome in relation to development.

To expand the functional analysis of plant mitochondria, we have undertaken the building of the proteome of pea mitochondria purified from leaves (green and etiolated), roots and seeds. In the first stage, we focused our proteomic exploration on the soluble protein complement of the green leaf mitochondria. We used traditional two-dimensional polyacrylamide gel electrophoresis, in combination with size exclusion chromatography as a third dimension, to identify the major proteins and further resolve their macromolecular complexity. The two-dimensional map of soluble proteins of green leaf mitochondria revealed 433 spots (with Coomassie blue staining) and around 73% of the proteins (in mass) were identified using three different approaches: Edman degradation, matrix-assisted laser desorption/ionization mass spectrometry and electrospray ionization tandem mass spectrometry. Quite a lot of the polypeptides were present in multiforms which indicated the presence of isoforms or the occurrence of post-translational modifications. Among these proteins, we uncovered an abundant family that was identified as aldehyde dehydrogenases, representing approximately 7.5% of the soluble proteins. The comparative analysis of soluble mitochondrial proteomes led to the identification of a number of proteins which were specifically present in root or in seed mitochondria, thus revealing the impact of tissue differentiation at the mitochondrial level.

Cell Fractionation↗

Profiling the alkaline membrane proteome of Caulobacter crescentus with two-dimensional electrophoresis and mass spectrometry.

Attempts at protein profiling in the alkaline pH region using isoelectric focusing have often proved difficult, greatly limiting the scope of proteome analysis. We investigated several parameters using custom pH 8-11 immobilized pH gradients to separate a Caulobacter crescentus membrane preparation. These included sample application, quenching endoosomotic flow and gel matrix composition. Among these factors, the sample application position was the predominant parameter to affect two-dimensional gel quality. Separated proteins were silver stained and profiled using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. The use of a prototype MALDI-Q-Tof mass spectrometer assisted identification of several proteins by providing highly informative peptide fragmentation data from the sample digests. Thirty-two unique alkaline proteins were identified in this study, which complements our previously described C. crescentus membrane proteome. Our experiments point towards new options for proteomic researchers aiming to both extend the scope of analysis, and simplify methods of identifying proteins with high confidence.

2-Propanol↗

Proteome analysis of a Lactococcus lactis strain overexpressing gapA suggests that the gene product is an auxiliary glyceraldehyde 3-phosphate dehydrogenase.

The sequence of the genome from the Lactococcus lactis subspecies lactis strain IL1403 shows the presence of two reading frames, gapA and gapB, putatively encoding glyceraldehyde 3-phosphate dehydrogenase (GAPDH). Previous proteomic analysis of the L. lactis subspecies cremoris strain MG1363 has revealed two neighbouring protein spots, GapBI and GapBII, with amino terminal sequences identical to the product of gapA from the L. lactis subspecies cremoris strain LM0230 and that of the two IL1403 sequences. In order to assign the two protein spots to their respective genes we constructed an L. lactis strain that overexpessed the gapA gene derived from MG1363 upon nisin induction. Compared to the wild-type, the overexpressing strain had a 3.4-fold elevated level of specific GAPDH activity when grown in the presence of nisin. In both MG1363 and the gapA overexpressing strain the GAPDH activity was specific for NAD. No NADP dependent activity was detected. Proteome analysis of the gapA overexpressing strain revealed two new protein spots, GapAI and GapAII, not previously detected in proteome analysis of MG1363. Results from mass spectrometry analysis of GapA and GapB and comparison with the deduced protein sequences for the GAPDH isozymes from the genome sequence of strain IL1403 allowed us to assign GapA and GapB to their apparent IL1403 homologues encoded by gapA and gapB, respectively. Furthermore, we suggest that a homologue of a gapB product, represented by GapB, is the main source of GAPDH activity in L. lactis during normal growth.

Amino Acid Sequence↗