Proteome analysis of a human uveal melanoma primary cell culture by 2-DE and MS

We present here the first proteomics analysis of uveal melanoma (UM) cells. These cells represent a good model for the identification of polypeptide markers, which could be developed as diagnostic tools. UM is the most common primary intraocular tumour in adults. In contrast to other cancers, the survival rate of patients with this malignancy has changed little over the past few decades; a better understanding of the molecular biology of UM oncogenesis and metastasis is needed to build the basis for the identification of novel drug targets. In the study presented here, proteins from a UM primary cell culture were separated by 2-DE using a pI 3-10 gradient; 270 spots were analysed by LC-MS/MS, identifying 683 proteins derived from 393 different genes. Of those, 69 (18%) are related to cancer processes involving cell division, proliferation, invasion, metastasis, oncogenesis, drug resistance and others. To our knowledge, 96% of the proteins identified, including 16 hypothetical proteins, have never been reported in UM before. This study represents the first step towards the establishment of a UM protein database as a valuable resource for the study of this malignancy.     

Multidimensional analysis of the insoluble sub-proteome of Oceanobacillus iheyensis HTE831, an alkaliphilic and halotolerant deep-sea bacterium isolated from the Iheya ridge

We report the first proteomic analysis of the insoluble sub-proteome of the alkaliphilic and halotolerant deep-sea bacterium Oceanobacillus iheyensis HTE831. A multidimensional gel-based and gel-free analysis was utilised and a total of 4352 peptides were initially identified by automated MS/MS identification software. Automated curation of this list using PROVALT reduced our peptide list to 467 uniquely identified peptides that resulted in the positive identification of 153 proteins. These identified proteins were functionally classified and physiochemically characterised. Of 26 proteins identified as hypothetical conserved, we have assigned function to all but four. A total of 41 proteins were predicted to possess signal peptides. In silico investigation of these proteins allowed us to identify three of the five bacterial classes of signal peptide, namely: (i) twin-arginine translocation; (ii) Sec-type and (iii) lipoprotein transport. Our proteomic strategy has also allowed us to identify, at neutral pH, a number of proteins described previously as belonging to two putative transport systems believed to be of importance in the alkaliphilic adaptation of O. iheyensis HTE831.     

Mapping phosphoproteins in Neisseria meningitidis serogroup A

To investigate the phosphorylation capability of serogroup A Neisseria meningitidis (MenA) and to implement our knowledge in meningococcal biology and in bacterial post-translational modifications, cell extracts were separated by 2-DE and 51 novel phosphoproteins were revealed by the use of the highly specific Ser/Thr/Tyr-phosphorylated proteins staining by Pro-Q Diamond and identified by MALDI-ToF/MS. Our results indicate that phosphorylation in MenA is comparable to that of other bacterial species. A first functional characterization of the identified modified proteins was also given, in order to understand their role in meningococcal physiopathology.     

Proteomic analysis of spore wall proteins and identification of two spore wall proteins from Nosema bombycis (Microsporidia)

Microsporidia are fungal-like unicellular eukaryotes which develop as obligate intracellular parasites. They differentiate into resistant spores that are protected by a thick spore wall composed of a glycoprotein-rich outer layer or exospore and a chitin-rich inner layer or endospore. In this study performed on the silkworm pathogen Nosema bombycis, we analyzed the spore wall proteins (SWPs) by proteomic-based approaches, MALDI-TOF MS and LC-MS/MS, and 14 hypothetical spore wall proteins (HSWPs) or peptides were obtained in total. Furthermore, we have examined the SWPs by SDS-PAGE and three main spore wall peptides were detected with molecular weights of 32.7 kDa (SWP32), 30.4 kDa (SWP30), and 25.3 kDa (SWP25), respectively. By N-terminal amino acid residue sequencing, and searching the genomic DNA shotgun database of N. bombycis, the complete ORFs of SWP30 and SWP32 were obtained, which encode for a 278- and a 316-amino acid peptide, respectively. Mouse polyclonal antibodies were raised against SWP30 and SWP32 recombinant proteins produced in Escherichia coli, and the results of indirect immunofluorescence assay (IFA) and immunoelectron microscopy (IEM) analyses indicated SWP30 to be an endosporal protein while SWP32 was shown to be an exosporal protein. Both SWP30 and SWP32 are included in the 14 HSWPs identified by MS, confirming the results of the proteomic-based approaches.     

Shotgun proteomic analysis of human-induced sputum

Induced sputum is a readily accessible biological fluid whose composition may alter as a consequence of disease. To date, however, the proteins that routinely populate this biofluid are largely unknown, in part due to the technical difficulties in processing such mucin-rich samples. To provide a catalogue of sputum proteins, we have surveyed the proteome of human-induced sputum (sputome). A combination of 2-D gel analysis and GeLC-MS/MS allowed a total of 191 human proteins to be confidently assigned. In addition to the expected components, several hitherto unreported proteins were found to be present, including three members of the annexin family, kallikreins 1 and 11, and peroxiredoxins 1, 2 and 5. Other sets of proteins identified included four proteins previously annotated as hypothetical or conserved hypothetical. Taken together, these data represent the first extensive survey of the proteome of induced sputum and provide a platform for future identification of biomarkers of lung disease.     

Sequence similarity-driven proteomics in organisms with unknown genomes by LC-MS/MS and automated de novo sequencing

LC-MS/MS analysis on a linear ion trap LTQ mass spectrometer, combined with data processing, stringent, and sequence-similarity database searching tools, was employed in a layered manner to identify proteins in organisms with unsequenced genomes. Highly specific stringent searches (MASCOT) were applied as a first layer screen to identify either known (i.e. present in a database) proteins, or unknown proteins sharing identical peptides with related database sequences. Once the confidently matched spectra were removed, the remainder was filtered against a nonannotated library of background spectra that cleaned up the dataset from spectra of common protein and chemical contaminants. The rectified spectral dataset was further subjected to rapid batch de novo interpretation by PepNovo software, followed by the MS BLAST sequence-similarity search that used multiple redundant and partially accurate candidate peptide sequences. Importantly, a single dataset was acquired at the uncompromised sensitivity with no need of manual selection of MS/MS spectra for subsequent de novo interpretation. This approach enabled a completely automated identification of novel proteins that were, otherwise, missed by conventional database searches.     

A reference map and identification of porcine testis proteins using 2-DE and MS

The development of the testis is essential for maturation of male mammals. A complete understanding of proteins expressed in the testis will provide biological information on many reproductive dysfunctions in males. The purposes of this study were to apply a proteomic approach to investigating protein composition and to establish a 2-D PAGE reference map for porcine testis proteins. MALDI-TOF MS was performed for protein identification. When 1 mg of total proteins was assayed by 2-D PAGE and stained with colloidal CBB, more than 400 proteins with a pI of pH 3-10 and M(r) of 10-200 kDa could be detected. Protein expression varied among individuals, with CV between 4.7 and 131.5%. A total of 447 protein spots were excised for identification, among which 337 spots were identified by searching the mass spectra against the NCBInr database. Identification of the remaining 110 spots was unsuccessful. A 2-D PAGE-based porcine testis protein database has been constructed on the basis of the results and will be published on the WWW. This database should be valuable for investigating the developmental biology and pathology of porcine testis.     

Phanerochaete chrysosporium soluble proteome as a prelude for the analysis of heavy metal stress response

A 2-D reference map in pI range 3-10 was constructed for the soluble protein fraction of Phanerochaete chrysosporium growing vegetatively under standard conditions. Functional annotation could be made for 517 spots out of 720 that were subjected to MALDI-TOF-MS analysis, according to the specific accession numbers from the P. chrysosporium genomic database. Further analysis of the data revealed 314 distinct ORFs, 118 of which yielded multiple spots on the master gel. Functional classification of the proteins was made according to the eukaryote orthologous groups defined in the organism's genome website. The functional class of PTMs, protein turnover and chaperones was represented with the highest number (63) of the identified ORFs. Six proteins were assigned to the hypothetical proteins and 29 were predicted to have a signal peptide sequence. Subcellular localization predictions were also made for the identified proteins. Of the protein spots detected on the master gel, 380 were found to be probably phosphorylated and 96 of these matched to the identified proteins. The reference map was efficiently used in the identification of the proteins differentially expressed under cadmium and copper stress. Three new ribosomal proteins as well as zinc-containing alcohol dehydrogenase, glucose-6-phosphate isomerase, flavonol/cinnamoyl-CoA reductase, H+-transporting two-sector ATPase, ribosomal protein S7, ribosomal protein S21e, elongation factor EF-1 alpha subunit were demonstrated as the most strongly induced.     

Application of both high-performance liquid chromatography combined with tandem mass spectrometry shotgun and 2-D polyacrylamide gel electrophoresis for streptococcal exoproteins gave reliable proteomic data

Streptococci secrete a large number of exoproteins including virulence-associated toxins and enzymes. To construct a reliable database of streptococcal exoproteins, we integrated the results that were derived from two approaches: LC-based shotgun proteomic analysis and 2-D PAGE-based proteomic analysis. We identified 74 and 82 proteins by LC-based and gel-based analysis, respectively. Forty-five proteins were identified by both methods. In addition, two proteins, one identified by both methods and the other only by LC-based shotgun analysis, were newly annotated. We therefore found the importance of combinational analysis by the two methods for the construction of a more reliable database.     

Towards the proteome of the marine bacterium Rhodopirellula baltica: mapping the soluble proteins

The marine bacterium Rhodopirellula baltica, a member of the phylum Planctomycetes, has distinct morphological properties and contributes to remineralization of biomass in the natural environment. On the basis of its recently determined complete genome we investigated its proteome by 2-DE and established a reference 2-DE gel for the soluble protein fraction. Approximately 1000 protein spots were excised from a colloidal Coomassie-stained gel (pH 4-7), analyzed by MALDI-MS and identified by PMF. The non-redundant data set contained 626 distinct protein spots, corresponding to 558 different genes. The identified proteins were classified into role categories according to their predicted functions. The experimentally determined and the theoretically predicted proteomes were compared. Proteins, which were most abundant in 2-DE gels and the coding genes of which were also predicted to be highly expressed, could be linked mainly to housekeeping functions in glycolysis, tricarboxic acid cycle, amino acid biosynthesis, protein quality control and translation. Absence of predictable signal peptides indicated a localization of these proteins in the intracellular compartment, the pirellulosome. Among the identified proteins, 146 contained a predicted signal peptide suggesting their translocation. Some proteins were detected in more than one spot on the gel, indicating post-translational modification. In addition to identifying proteins present in the published sequence database for R. baltica, an alternative approach was used, in which the mass spectrometric data was searched against a maximal ORF set, allowing the identification of four previously unpredicted ORFs. The 2-DE reference map presented here will serve as framework for further experiments to study differential gene expression of R. baltica in response to external stimuli or cellular development and compartmentalization.     

The first protein map of Synechococcus sp. strain PCC 7942

The first protein map was developed of Synechococcus sp. strain PCC 7942, a model organism for studies of photosynthesis, prokaryotic circadian rhythms, cell division, carbon-concentrating mechanisms, and adaptive responses to a variety of stresses. The proteome was analyzed by two-dimensional gel electrophoresis with subsequent MALDI-TOF mass spectroscopy and database analysis. Of the 140 analyzed protein spots, 110 were successfully identified as 62 different proteins, many of which occurred as multiple spots on the gel. The identified proteins participate in the major metabolic and cellular processes in cyanobacterial cells during the exponential growth phase. In addition, 14 proteins which were previously either unknown or considered to be hypothetical were shown to be true gene products in Synechococcus sp. strain PCC 7942. These results may be helpful for the annotation of the recently sequenced genome of this cyanobacterium, as well as for biochemical and physiological studies of Synechococcus.     

Proteomic analysis of rat pheochromocytoma PC12 cells

PC12 cell line is well documented and widely applied as many kinds of models in neurobiological and neurochemical studies. Yet a thorough proteomic analysis has not been performed so far. Here we report the construction of a large-scale 2-D protein database for PC12 cells. The proteins extracted from PC12 cells were separated by 2-DE and identified by MALDI-TOF/TOF MS. A total of 1080 protein spots, excised from three different 2-D gels, were identified with high confidence. These proteins represent 474 different gene products, mainly binding proteins and enzymes. Three hundred and seven identified protein spots were located in the low-molecular weight region below 20 kDa. This database today represents one of the largest 2-D databases for higher eukaryotic cell proteomes and for low-molecular weight proteins. In addition, fragment ion spectra obtained by TOF/TOF confirmed that calcylin in PC12 cells was N-acetylated. The database of PC12 proteome is expected to be a powerful tool for neuroscientists.     

Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures

A novel database search algorithm is presented for the qualitative identification of proteins over a wide dynamic range, both in simple and complex biological samples. The algorithm has been designed for the analysis of data originating from data independent acquisitions, whereby multiple precursor ions are fragmented simultaneously. Measurements used by the algorithm include retention time, ion intensities, charge state, and accurate masses on both precursor and product ions from LC‐MS data. The search algorithm uses an iterative process whereby each iteration incrementally increases the selectivity, specificity, and sensitivity of the overall strategy. Increased specificity is obtained by utilizing a subset database search approach, whereby for each subsequent stage of the search, only those peptides from securely identified proteins are queried. Tentative peptide and protein identifications are ranked and scored by their relative correlation to a number of models of known and empirically derived physicochemical attributes of proteins and peptides. In addition, the algorithm utilizes decoy database techniques for automatically determining the false positive identification rates. The search algorithm has been tested by comparing the search results from a four‐protein mixture, the same four‐protein mixture spiked into a complex biological background, and a variety of other “system” type protein digest mixtures. The method was validated independently by data dependent methods, while concurrently relying on replication and selectivity. Comparisons were also performed with other commercially and publicly available peptide fragmentation search algorithms. The presented results demonstrate the ability to correctly identify peptides and proteins from data independent acquisition strategies with high sensitivity and specificity. They also illustrate a more comprehensive analysis of the samples studied; providing approximately 20% more protein identifications, compared to a more conventional data directed approach using the same identification criteria, with a concurrent increase in both sequence coverage and the number of modified peptides.     

Proteomic analysis of the cerebrospinal fluid of patients with lumbar disk herniation

To better understand the pathophysiologic mechanisms underlying spinal nerve root injury induced by lumbar disk herniation (LDH), comparative proteomic analysis of cerebrospinal fluid (CSF) between patients with LDH (the experiment group) and the otherwise healthy patients who had had implants removed from healed fractures in the lower limbs (the control group) was carried out using 2-DE followed by LC-IT-MS and database searching. Image analysis of silver-stained 2-DE gels revealed that 15 protein spots showed significant differential expression between the two groups of CSF samples (p < 0.05). After searching the database we found that in CSF of LDH patients, the expression of cystatin C, apolipoprotein A-IV, vitamin D-binding protein, neurofilament triplet L protein, IgG, tetranectin, and hemoglobin were elevated. However, ProSAAS, prostagladin D2 synthase, creatine kinase B, superoxide dismutase 1 and peroxiredoxin 2 were decreased. The subsequent ELISA measured the concentration of tetranectin, vitamin D-binding protein and cystatin C and confirmed the results of proteomic analysis. These identified proteins are involved in the pathophysiological process of spinal nerve root injury caused by herniated lumbar disk. The functional implications of the alterations in the levels of these proteins are discussed in this paper.     

Proteomic analysis of larval integument, trachea and adult scale from the silkworm, Bombyx mori

Multidimensional LC-tandem MS was used to investigate the protein compositions of three tissues of silkworm, Bombyx mori. A total of 162, 259, and 175 peptides from silkworm larval integument and trachea, and adult scale obtained by database search were matched to 48, 51, and 40 proteins, respectively. Forty-one cuticular proteins were identified from three tissues and covered all five cuticular protein families of silkworm. In the adult scale, all seven cuticular proteins were identified for the first time in the final pellet after SDS extraction. The majority of cuticular proteins were found in each tissue differentially, suggesting that tissue-specific cuticular proteins were involved in the building of the specialized tissues. Seventy-three non-cuticular proteins were also identified in this analysis mainly including muscular proteins, proteinases, inhibitors, transport proteins, and redox-related proteins.     

A top-down proteomics approach for differentiating thermal resistant strains of Enterobacter sakazakii

Thermal tolerance has been identified as an important factor relevant to the pathogenicity of Enterobacter sakazakii in human neonates. To identify a biomarker specific for this phenotypic trait, intact protein expression profiles of 12 strains of E. sakazakii were obtained using liquid chromatography mass spectrometry. Proteins were extracted from the bacterial cells, separated by reversed-phase liquid chromatography and mass analyzed. At the end of the chromatography run, the uncharged masses of the multiply charged proteins were determined via automated software routines. The resulting data provided an accurate mass expression profile of the proteins found in the individual strains. From the individual expression profiles, it was possible to identify unique proteins corresponding to strains with thermal resistance. One protein found only in the thermal tolerant strains was sequenced and identified as homologous to a hypothetical protein found in the thermal tolerant bacteria, Methylobacillus flagellatus KT. The protein sequence of this protein was then used to reverse-engineer PCR primers for the gene sequence associated with the protein. In all cases, only thermal tolerant strains of E. sakazakii produced amplified PCR products, demonstrating the specificity of this biomarker.     

Proteomic approach for identification and characterization of novel immunostimulatory proteins from soluble antigens of Leishmania donovani promastigotes

Visceral leishmaniasis (VL) caused by Leishmania donovani is a major parasitic disease prevalent in endemic regions of Bihar in India. In the absence of good chemotherapeutic options, there is a need to develop an effective vaccine against VL which should be dependent on the generation of a T helper type 1 (Th1) immune response. We have shown that soluble proteins from promastigote of a new clinical isolate of L. donovani (2001) ranging from 68 to 97.4 kDa (F2 fraction), induce Th1 responses in the peripheral blood mononuclear cells of cured Leishmania patients and hamsters and also showed significant prophylactic potential. To understand the nature of F2 proteins, it was further characterized using 2-DE, MALDI-TOF and MALDI-TOF/TOF-MS. In all, 63 spots were cut from a CBB stained gel for analysis and data was retrieved for 52 spots. A total of 33 proteins were identified including six hypothetical/unknown proteins. Major immunostimulatory proteins were identified as elongation factor-2, p45, heat shock protein (HSP)70, HSP83, aldolase, enolase, triosephosphate isomerase, protein disulfideisomerase and calreticulin. This study substantiates the usefulness of proteomics in characterizing a complex protein fraction (F2) map of soluble L. donovani promastigote antigen identified as Th1 stimulatory for its potential as vaccine targets against VL.     

Protein recovery and identification from the gulf killifish, Fundulus grandis: comparing snap-frozen and RNAlater® preserved tissues

Reliable proteomic analysis of biological tissues requires sampling approaches that preserve proteins as close to their in vivo state as possible. In the current study, the patterns of protein abundance in one‐dimensional (1‐D) gels were assessed for five tissues of the gulf killifish, Fundulus grandis, following snap‐freezing tissues in liquid nitrogen or immersion of fresh tissues in RNAlater^®. In liver and heart, the protein profiles in 1‐D gels were better preserved by snap‐freezing, while in gill, the 1‐D protein profile was better preserved by immersion in RNAlater^®. In skeletal muscle and brain, the two approaches yielded similar patterns of protein abundance. LC‐MS/MS analyses and database searching resulted in the identification of 17 proteins in liver and 12 proteins in gill. Identified proteins include enzymes of energy metabolism, structural proteins, and proteins serving other biological functions. These protein identifications for a species without a sequenced genome demonstrate the utility of F. grandis as a model organism for environmental proteomic studies in vertebrates.     

In silico analysis of DosR regulon proteins of Mycobacterium tuberculosis

One of the challenges faced by Mycobacterium tuberculosis (M. tuberculosis) in dormancy is hypoxia. DosR/DevR of M. tuberculosis is a two component dormancy survival response regulator which induces the expression of 48 genes. In this study, we have used DosR regulon proteins of M. tuberculosis H37Rv as the query set and performed a comprehensive homology search against the non-redundant database. Homologs were found in environmental mycobacteria, environmental bacteria and archaebacteria. Analysis of genomic context of DosR regulon revealed that they are distributed as nine blocks in the genome of M. tuberculosis with many transposases and integrases in their vicinity. Further, we classified DosR regulon proteins into eight functional categories. One of the hypothetical proteins Rv1998c could probably be a methylisocitrate lyase or a phosphonomutase. Another hypothetical protein, Rv0572 was found only in mycobacteria. Insights gained in this study can potentially aid in the development of novel therapeutic interventions.     

Physical and computational analysis of the yeast Kluyveromyces lactis secreted proteome

Secretion of proteins is the most common approach to protein expression in Kluyveromyces lactis. A proteomic analysis was performed on spent fermentation medium following bioreactor propagation of a wild-type industrial strain to identify proteins naturally secreted by K. lactis cells. Multidimensional separations were conducted and RP online ESI-MS/MS analysis identified 81 secreted proteins. In addition, an in silico analysis predicted 178 K. lactis proteins to be secreted via the general secretory pathway (GSP). These two datasets were compared and approximately 70% of the K. lactis proteins detected in the culture medium possessed a GSP sequence. The detected proteins included those involved with cell wall structure and synthesis, carbohydrate metabolism, and proteolysis, a result that may have significant bearing on heterologous protein expression. Additionally, both the experimental and in silico datasets were compared to similar, previously published datasets for Candida albicans. With the methodology presented here, we provide the deepest penetration into a yeast secretome yet reported.