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Comparative genomics on FGF8, FGF17, and FGF18 orthologs.

FGF and WNT signaling pathways network together during embryogenesis and carcinogenesis. Among 22 FGF family members within human and rodents genomes, FGF20 orthologs are evolutionarily conserved targets of the WNT/beta-catenin signaling pathway. FGF8, FGF17, and FGF18 constitute one of FGF subfamilies. Here, comparative proteomics and comparative genomics analyses on FGF8, FGF17, and FGF18 orthologs were performed. Rat Fgf8 and Fgf17 genes, consisting of five exons, were located within AC096326.7 and AC097410.12 genome sequences, respectively. FGF8, FGF17, and FGF18 orthologs were FGF family members with the N-terminal signal peptide. Human FGF8 isoform F showed 90.6% total-amino-acid identity with rat Fgf8 (268 aa). Human FGF17 showed 98.6% total-amino-acid identity with rat Fgf17 (216 aa). Human FGF18 also showed 98.6 total-amino-acid identity with rat Fgf18. FBXW1 (betaTRCP1 or BTRC1)-FGF8-NPM3 locus at human chromosome 10q24.32, FBXW11 (betaTRCP2 or BTRC2)-FGF18-NPM1 locus at human chromosome 5q35.1, and FGF17-NPM2 locus at human chromosome 8p21.3 were paralogous regions within the human genome. FGF8 mRNA was expressed in DMSO-treated embryonic stem (ES) cells. FGF17 mRNA was expressed in ES cells differentiated to an early endodermal phenotype. FGF18 mRNA was expressed in fetal lung, fetal heart, lung carcinoid, colorectal cancer, and ovarian cancer. FGF18 promoter with double TCF/LEF binding sites rather than FGF8 promoter and FGF17 promoter was more conserved between human and rodents. These facts indicate that FGF18 orthologs were evolutionarily conserved targets of the WNT/beta-catenin signaling pathway.

Amino Acid Sequence↗

Comparative genomics on BMP4 orthologs.

Bone morphogenetic proteins (BMPs) are implicated in cell-fate determination of embryonic stem (ES) cells and cancer cells. GREM1 (CKTSF1B1 or DAND2) and CER1 (Cerberus 1 or DAND4) are cysteine knot superfamily proteins, functioning as secreted-type BMP antagonists. BMP4 is preferentially expressed in diffuse-type gastric cancer cells. Here, vertebrate BMP4 orthologs were identified and characterized by using bioinformatics for comparative proteomics and comparative genomics analyses. Baboon BMP4 gene within AC153751.2 genome sequence encoded a 408-aa protein, showing A152V and S298P amino-acid substitutions compared with human BMP4. Cow Bmp4, bat Bmp4 and zebrafish bmp4 genes were located within AC149774.2, AC156788.2 and CR391996.2 genome sequences, respectively. Human BMP4 showed 99.5%, 98.0%, 97.8%, 97.1%, 96.3%, 83.3% and 71.1% total-amino-acid identity with baboon BMP4, cow Bmp4, bat Bmp4, mouse Bmp4, rat Bmp4, chicken bmp4 and zebrafish bmp4, respectively. Human BMP4 gene was found consisting of six exons, including novel exon 1C, and known exons 1 (1A or I), 1B (II), 2 (III), 3 (IV) and 4 (V). Forty human BMP4 ESTs started from exon 1, seven from intron 1 (5'-flanking region of exon 2), and two from exon 1C. Fourteen mouse Bmp4 ESTs started from exon 1, and one from intron 1. The 5'-flanking region of exon 1 and exon 1 itself, but not exons 1C and 1B, were well conserved between human BMP4 and rodent Bmp4 genes. The major promoter region of human BMP4 and rodent Bmp4 genes were located within the 5'-flanking region of exon 1. FOXA2, OLF1, and MYC-binding sites were conserved among the major promoter region of human, baboon, cow, bat, mouse and rat BMP4 orthologs.

Amino Acid Sequence↗

Improved 2D nano-LC/MS for proteomics applications: a comparative analysis using yeast proteome.

The most commonly used method for protein identification with two-dimensional (2D) online liquid chromatography-mass spectrometry (LC/MS) involves the elution of digest peptides from a strong cation exchange column by an injected salt step gradient of increasing salt concentration followed by reversed phase separation. However, in this approach ion exchange chromatography does not perform to its fullest extent, primarily because the injected volume of salt solution is not optimized to the SCX column. To improve the performance of strong cation exchange chromatography, we developed a new method for 2D online nano-LC/MS that replaces the injected salt step gradient with an optimized semicontinuous pumped salt gradient. The viability of this method is demonstrated in the results of a comparative analysis of a complex tryptic digest of the yeast proteome using the injected salt solution method and the semicontinuous pump salt method. The semicontinuous pump salt method compares favorably with the commonly used injection method and also with an offline 2D-LC method.

Chromatography, Ion Exchange↗

Domain graph of Arabidopsis proteome by comparative analysis.

The domain graph of domains and domain combinations of Arabidopsis thaliana is established based on pfam 14.0 database and analyzed via comparison with 10 eukaryotic, 30 bacterial, and 16 archaeal proteomes. The comparative analysis of the domain graphs provides a useful platform for revealing global insights on the evolution of plant kingdom. More importantly, it is a powerful tool for searching not only the possible new function of both plant-specific and nonspecific domains via specific domain combinations in Arabidopsis thaliana but also the functional role of unknown domains. As an example, we present the functional link between ubiquitin and Myb_DNA-binding domains via Bromodomain as the plant specific evidence for the association between transcription and ubiquitin. We further show that PentatricoPeptide Repeats (PPR) proteins have plant-specific links with a wide variety of domains responsible for RNA binding/metabolism, modulation of protein-protein interactions, ubiquitin-conjugation, cell growth/maintenance, catalysis, and others. This further supports the recently proposed association of PPR proteins with specific RNA transcripts and defined effector proteins. Moreover, the domain graph built from tissue-specific genes is frequently associated with DNA binding domains, suggesting that the differentiation of tissue cell types is contributed mostly by tissue-specific transcriptional process. DOGMA (DOmain Graph via coMparitive analysis for Arabidopsis thaliana) is available on-line with a variety of search tools at http://theory.med.buffalo.edu/DOGMA. The database, which allows user-specified search for plant specific domains and their combinations, will be useful as an additional tool for annotation of the proteins that play specific roles in plants and other organisms.

Arabidopsis↗

[Comparative chemical proteomics: simultaneous identification of disease-specific protein targets and their small molecule-binding partners, suitable as drug candidates].

The simultaneous identification of disease-specific protein targets and their small molecule binding partners, suitable as drug candidates, could radically reduce the timeline and costs of drug discovery and development. Comparative chemical proteomics provides a novel approach to achieve this goal through rapid detection of overexpressed proteins in diseased samples by the application of small molecule microarrays. The interacting small molecules enables direct affinity-based isolation and identification of the proteins. In the present paper we report comparative chemical proteomics studies on melanocytes and melanoma cell-lines, which led to the identification of 3 overexpressed proteins (e.g. -tubulin) together with their small molecule binding partner.

Carrier Proteins↗

The synaptic vesicle proteome: a comparative study in membrane protein identification.

A proteomic analysis of the synaptic vesicle was undertaken to obtain a better understanding of vesicle regulation. Synaptic vesicles primarily consist of integral membrane proteins that are not well resolved on traditional isoelectric focusing/two-dimensional gel electrophoresis (IEF/2-DE) gels and are resistant to in-gel digestion with trypsin thereby reducing the number of peptides available for mass spectrometric analysis. To address these limitations, two complementary 2-DE methods were investigated in the proteome analysis: (a) IEF/sodium dodecyl sulfate-polyacrylamide gel electrophoresis (IEF/SDS-PAGE) for resolution of soluble proteins and, (b) Benzyl hexadecyl ammonium chloride/SDS-PAGE (16-BAC/SDS-PAGE) for resolution of integral membrane proteins. The IEF/SDS-PAGE method provided superior resolution of soluble proteins, but could only resolve membrane proteins with a single transmembrane domain. The 16-BAC/SDS-PAGE method improved separation, resolution and identification of integral membrane proteins with up to 12 transmembrane domains. Trypsin digestion of the integral membrane proteins was poor and fewer peptides were identified from these proteins. Analysis of both the peptide mass fingerprint and the tandem mass spectra using electrospray ionization quadrupole-time of flight mass spectrometry led to the positive identification of integral membrane proteins. Using both 2-DE separation methods, a total of 36 proteins were identified including seven integral membrane proteins, 17 vesicle regulatory proteins and four proteins whose function in vesicles is not yet known.

Cell Membrane↗

Comparative plasma proteome analysis of lymphoma-bearing SJL mice.

In SJL mice, growth of RcsX lymphoma cells induces an inflammatory response by stimulating V(beta)16+ T cells. During inflammation, various serum protein levels can increase (e.g., acute phase reactants) or decrease (e.g., albumin), and most of these altered proteins are thus potential biomarkers. Although blood plasma is a valuable and promising sample for biomarker discovery for diseases or for novel drug targets, its proteome is complex. To address this, we have focused on a comprehensive comparison of the plasma proteomes from normal and RcsX-tumor-bearing SJL mice using the 1D-Gel-LC-MS/MS method after removing albumin and immunoglobulins. This analysis resulted in the identification of a total of 1079 nonredundant mouse plasma proteins; more than 480 in normal and 790 in RcsX-tumor-bearing SJL mouse plasma. Of these, only 191 proteins were found in common. The molecular weights ranged from 2 to 876 kDa, covering the pI values between 4.22 and 12.09, and included proteins with predicted transmembrane domains. By comparing the plasma proteomic profile of normal and RcsX-tumor-bearing SJL mice, we found significant changes in the levels of many proteins in RcsX-tumor-bearing mouse plasma. Most of the up-regulated proteins were identified as acute-phase proteins (APPs). Also, several unique proteins i.e., haptoglobin, proteosome subunits, fetuin-B, 14-3-3 zeta, MAGE-B4 antigen, etc, were found only in the tumor-bearing mouse plasma; either secreted, shed by membrane vesicles, or externalized due to cell death. These results affirm the effectiveness of this approach for protein identification from small samples, and for comparative proteomics in potential animal models of human disorders.

14-3-3 Proteins↗

Tissue Molecular Anatomy Project (TMAP): an expression database for comparative cancer proteomics.

By mining publicly accessible databases, we have developed a collection of tissue-specific predictive protein expression maps as a function of cancer histological state. Data analysis is applied to the differential expression of gene products in pooled libraries from the normal to the altered state(s). We wish to report the initial results of our survey across different tissues and explore the extent to which this comparative approach may help uncover panels of potential biomarkers of tumorigenesis which would warrant further examination in the laboratory.

Databases, Protein↗

Presentation of differentially regulated proteins within a web-accessible proteome database system of microorganisms.

Web-accessible proteome databases represent indispensable tools for quantitative and comparative proteomics research. The majority of two-dimensional gel electrophoresis (2-DE) databases contains clickable 2-DE gel images and descriptive textual information such as protein name, Mr/pI values, methods of identification, cellular localization and other information on proteins. Although a great part of the work in comparative proteomics consists of the analysis of 2-DE gels using image analysis approaches, most proteome databases lack the ability to present protein abundance data and their alterations within experiments via the web. Now, differentially regulated proteins detected in microbial experiments by quantitative gel image analysis are presented in a web-accessible relational database DIFF (Differentially Regulated Proteins). The DIFF database is a part of the proteome database system for microbial research available at http://www.mpiib-berlin.mpg.de/2D-PAGE.

Bacterial Proteins↗

Tackling the plant proteome: practical approaches, hurdles and experimental tools.

The study of complex biological questions through comparative proteomics is becoming increasingly attractive to plant biologists as the rapidly expanding plant genomic and expressed sequence tag databases provide improved opportunities for protein identification. This review focuses on practical issues associated with comparative proteomic analysis, including the challenges of effective protein extraction and separation from plant tissues, the pros and cons of two-dimensional gel-based analysis and the problems of identifying proteins from species that are not recognized models for functional genomic studies. Specific points are illustrated using data from an ongoing study of the tomato and pepper fruit proteomes.

Electrophoresis, Gel, Two-Dimensional↗

Double standards in quantitative proteomics: direct comparative assessment of difference in gel electrophoresis and metabolic stable isotope labeling.

Quantitative protein expression profiling is a crucial part of proteomics and requires methods that are able to efficiently provide accurate and reproducible differential expression values for proteins in two or more biological samples. In this report we evaluate in a direct comparative assessment two state-of-the-art quantitative proteomic approaches, namely difference in gel electrophoresis (DiGE) and metabolic stable isotope labeling. Therefore, Saccharomyces cerevisiae was grown under well defined experimental conditions in chemostats under two single nutrient-limited growth conditions using (14)N- or (15)N-labeled ammonium sulfate as the single nitrogen source. Following lysis and protein extraction from the two yeast samples, the proteins were fluorescently labeled using different fluorescent CyDyes. Subsequently, the yeast samples were mixed, and the proteins were separated by two-dimensional gel electrophoresis. Following in-gel digestion, the resulting peptides were analyzed by mass spectrometry using a MALDI-TOF mass spectrometer. Relative ratios in protein expression between these two yeast samples were determined using both DiGE and metabolic stable isotope labeling. Focusing on a small, albeit representative, set of proteins covering the whole gel range, including some protein isoforms and ranging from low to high abundance, we observe that the correlation between these two methods of quantification is good with the differential ratios determined following the equation R(Met.Lab.) = 0.98R(DiGE) with r(2) = 0.89. Although the correlation between DiGE and metabolic stable isotope labeling is exceptionally good, we do observe and discuss (dis)advantages of both methods as well as in relation to other (quantitative) approaches.

Electrophoresis, Gel, Two-Dimensional↗

Comparative genomics on Sonic hedgehog orthologs.

Sonic hedgehog (SHH), Indian hedgehog (IHH), and Desert hedgehog (DHH) are key molecules for the integrome network in oncology and regenerative medicine. Soluble Hedgehog ligands bind to Patched receptor to activate Smoothened seven-transmembrane receptor with Frizzled domain. KIF27 and KIF7 are human homologs of Drosophila Costal-2 (Cos2), associating with Smoothened, GLI homolog, Fused, and microtubule. Smoothened activation leads to GLI1, GLI2, or GLI3-dependent transcription of Hedgehog target genes. Here, comparative proteomics analyses and comparative genomics analyses on SHH orthologs were performed by using bioinformatics. Human SHH representative transcript was assembled by using BX461534 EST, NM_000193.2 RefSeq, AA503654 EST, and AC078834.5 genome sequence. Human SHH mRNA was expressed in fetal brain, infant brain, and also in colorectal cancer. Chimpanzee SHH gene, consisting of three exons, was located within AC147335.2 genome sequence. Human SHH and chimpanzee SHH (462 aa) showed E284G and T416P amino-acid substitutions. Vertebrate SHH orthologs shared the common domain architecture, consisting of N-terminal signal peptide, Hedgehog signaling domain, Hint domain, and C-terminal HPLGMxxxxS motif. Evolutionarily conserved SHH promoter region (nucleotide position 104429-104083 of human genome sequence AC078834.5) was identified. Double bHLH binding sites, CCAAT box, and TATA box were conserved among human SHH promoter, chimpanzee SHH promoter, rat Shh promoter, and mouse Shh promoter.

Amino Acid Motifs↗

The human pituitary proteome: the characterization of differentially expressed proteins in an adenoma compared to a control.

In order to clarify the basic molecular mechanisms that participate in the formation of human pituitary macroadenomas, this study, for the first time, describes the comparative proteomics between a pituitary adenoma tissue and a control tissue. A vertical, two-dimensional polyacrylamide gel electrophoresis system and PDQuest image analysis software were used to provide a high level of between-gel reproducibility and electrophoretic separation to accurately locate each differentially expressed protein. Mass spectrometry (MALDI-TOF and LC-ESI-Q-IT) and protein databases were used to characterize each differentially expressed protein. A total of 137 differential gel spots (37 increased spot volumes, 39 decreased, 19 new and 42 lost) were found when we compared an adenoma proteome to a control proteome. Seventy-one spots (20 increased, 27 decreased, 13 new, 11 lost), representing 39 differentially regulated proteins, were identified. Five differentially regulated proteins (prolactin, cellular retinoic acid-binding protein II, G-protein beta subunit 3, secretagogin and calreticulin) were also validated with results from a comparative transcriptomics study of pituitary adenomas and controls. The functional characteristics of these differentially expressed proteins provide a differential proteomic profile between a pituitary adenoma and a control.

Adenoma↗

Global investigation of p53-induced apoptosis through quantitative proteomic profiling using comparative amino acid-coded tagging.

p53-induced apoptosis plays a pivotal role in the suppression of tumorigenesis, and mutations in p53 have been found in more than 50% of human tumors. By comparing the proteome of a human colorectal cancer cell transfected with inducible p53 (DLD-1.p53) with that of the control DLD-1 cell line using amino acid-coded mass tagging (AACT)-assisted mass spectrometry, we have broadly identified proteins that are upregulated at the execution stage of the p53-mediated apoptosis. In cell culturing, the deuterium-labeled (heavy) amino acids were incorporated into the proteome of the induced DLD-1.p53 cells, whereas the DLD-1.vector cells were grown in the unlabeled medium. In high-throughput LC-ESI-MS/MS analyses, the AACT-containing peptides were paired with their unlabeled counterparts, and their relative spectral intensities, reflecting the differential protein expression, were quantified. In addition, our novel AACT-MS method utilized a number of different heavy amino acids as internal markers that significantly increased the peptide sequence coverage for both quantitation and identification purposes. As a result, we were able to identify differentially regulated protein isozymes that would be difficult to distinguish by ICAT-MS methods and to obtain a large dataset of the proteins with altered expression in the late stage of p53-induced apoptosis. The regulated proteins we identified are associated with several distinct functional categories: cell cycle arrest and p53 binding, protein chaperoning, plasma membrane dynamics, stress response, antioxidant enzymes, and anaerobic glycolysis. This result suggests that the p53-induced apoptosis involves the systematic activation of multiple pathways that are glycolysis-relevant, energy-dependent, oxidative stress-mediated, and possibly mediated through interorganelle crosstalks.

Amino Acid Sequence↗

Application of mycobacterial proteomics to vaccine design: improved protection by Mycobacterium bovis BCG prime-Rv3407 DNA boost vaccination against tuberculosis.

Information from comparative proteome analysis of Mycobacterium tuberculosis and Mycobacterium bovis bacillus Calmette-Guerin (BCG) principally allows prediction of potential vaccine candidates. Thirty-six M. tuberculosis DNA vaccine candidates identified by comparative proteome analysis were evaluated in the mouse model for protection against low-dose aerosol M. tuberculosis infection. We identified the DNA vaccine candidate Rv3407 as a protective antigen and analyzed putative major histocompatibility complex class I epitopes by computational predictions and gamma interferon Elispot assays. Importantly, we discovered that the DNA vaccine Rv3407 improved the efficacy of BCG vaccination in a heterologous prime-boost vaccination protocol. Our data demonstrate the rationale of a combination of proteomics, epitope prediction, and broad screening of putative antigens for identification of novel DNA vaccine candidates. Furthermore, our experiments show that heterologous prime-boost vaccination with a defined antigen boost "on top" of a BCG primer provides superior protection against tuberculosis over vaccination with BCG alone.

Animals↗

Proteomic analysis of the human pathogen Trypanosoma cruzi.

Trypanosoma cruzi, the protozoan that causes Chagas disease, possesses a complex life cycle involving different developmental stages. Experimental conditions for two-dimensional electrophoresis (2-DE) analysis of T. cruzi trypomastigote, amastigote and epimastigote proteomes were optimized. Comparative proteome analysis of the cell-cycle stages were carried out, revealing that few proteins included in the 2-DE maps displayed significant differential expression among the three developmental forms of the parasite. In order to identify landmark proteins, spots from the trypomastigote 2-DE map were subjected to matrix-assisted laser desorption/ionization-time of flight mass spectrometry peptide mass fingerprinting, resulting in 26 identifications that corresponded to 19 different proteins. Among the identified polypeptides, there were heat shock proteins (HSP; chaperones, HSP 60, HSP 70 and HSP 90), elongation factors, glycolytic pathway enzymes (enolase, pyruvate kinase and 2,3 bisphosphoglycerate mutase) and structural proteins (KMP 11, tubulin and paraflagellar rod components). The relative expression of the identified proteins in the 2-DE maps of the T. cruzi developmental stages is also presented.

Animals↗

Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics.

A crucial issue in comparative proteomics is the accurate quantification of differences in protein expression levels. To achieve this, several methods have been developed in which proteins are labeled with stable isotopes either in vivo via metabolic labeling or in vitro by protein derivatization. Although metabolic labeling is the only way to obtain labeling of all proteins, it has thus far only been applied to single- celled organisms and cells in culture. Here we describe quantitative 15N metabolic labeling of the multicellular organisms Caenorhabditis elegans, a nematode, and Drosophila melanogaster, the common fruit fly, achieved by feeding them on 15N-labeled Escherichia coli and yeast, respectively. The relative abundance of individual proteins obtained from different samples can then be determined by mass spectrometry (MS). The applicability of the method is exemplified by the comparison of protein expression levels in two C. elegans strains, one with and one without a germ line. The methodology described provides tools for accurate quantitative proteomic studies in these model organisms.

Animals↗

Between-gel reproducibility of the human cerebrospinal fluid proteome.

This manuscript describes the between-gel reproducibility of the two-dimensional gel electrophoresis analysis of the human lumbar cerebrospinal fluid (CSF) proteome. This reproducibility study is a necessary component for our long-term research program that uses comparative proteomics to analyze lumbar CSF samples in a study of human idiopathic low back pain. A Protein-Plus Dodeca Cell electrophoresis apparatus and PDQuest software were used to measure the level of between-gel reproducibility of the CSF proteome. One pooled CSF sample was used to evaluate the level of within-sample, between-gel reproducibility, and a set of seven different CSF samples (CSF-1 to 7) was used to test the level of within-group and between-group variability. Differentially expressed proteins (six CSF samples versus the designated control, CSF-3) were characterized with mass spectrometry. The number of spots found in the pooled CSF sample was 490 +/- 30 (n = 10 gels); the percentage of protein spots found in those 10 gels was 92 +/- 6%, with a coefficient of variation of 6%; and a positive coefficient of correlation (r = 0.82) was found. In order to test the proof-of-principle, that set of seven CSF samples served as a test of our ability to perform reproducibility comparative proteomics, and to detect differentially expressed proteins within that set of test samples. One sample (CSF-3) served as the control for the other six to locate the differentially expressed proteins. A comparison of fifteen differentially expressed proteins found in that set of test CSF samples correlated with pathology. Matrix-assisted laser desorption/ionization-time-of-flight and electrospray ionization quadrupole ion trap mass spectrometry were used to characterize thirteen of those fifteen differentially expressed proteins. These results (reproducibility, protein characterization, set of test samples, and proof-of-principle) suggest that the analysis of human CSF two-dimensional gels can achieve a high level of within-sample and between-sample reproducibility, and that PDQuest software can measure the relative protein abundance in the human CSF proteome.

Adult↗