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PubMed2006

Comparative proteomic analysis of nucleic acid-binding proteins in ten human tumor cell lines.

Failure in regulation of genes involved in growth and division of cells may result in pathological conditions, particularly cancer. Regulation is exerted at various levels of the transcriptional and post-transcriptional processes involving mainly nucleic acid-binding proteins. Here, we systematically explored the proteome of ten different cell lines in search for proteins potentially serving as molecular markers and/or targets for monitoring prognostic outcome and clinical therapies. High-throughput analysis, two-dimensional electrophoresis coupled to matrix-assisted laser desorption/ionization mass spectrometry, identified 72 nucleotide-binding proteins and their interacting partners, which were differentially expressed in the cell lines investigated. Out of the 72 identified proteins, 33 of them were specifically expressed in a single cell line (for e.g., replication protein A 32 kDa, transcription intermediary factor 1, heterogeneous ribonucleoproteins). Moreover, tumor-related proteins including breast carcinoma amplified sequence 2, zinc finger proteins, chromobox protein homologs were identified in individual cell lines. The present findings demonstrate that rich protein information can be obtained by means of proteomic analysis for better understanding of oncogenesis and pathogenesis in a global way, which in turn represents the basis for the rational designs of diagnostic and therapeutic methods.

Biomarkers, Tumor↗
PubMed2006

[Comparative proteome analysis of hepatoma cells at subcellular level].

The subcellular proteome strategy can complement the separation power of two-dimensional electrophoresis, a step for subcellular fractionation is introduced before electrophoresis is conducted, and more proteins will be displayed in two-dimensional gels. A comparative analysis of proteomic profiling of mitochondria and nuclei was conducted between hepatoma cell and hepatocyte, in order to find more information involved in cancer development. The cultured hepatoma cell line QGY-7703 and hepatocyte line LO2 were used as research models in this work. Subcellular fractionation for mitochondrion and nucleus were done by ultracentrifugation, then two-dimensional electrophoresis was applied to the separation of mitochondrial and nuclear proteins, imaging analysis for the selection of differentially-expressed protein spots, and MALDI-TOF-MS for the identification of proteins. 54 spots from electrophoresis gels were selected as differentially-expressed protein for MS analysis which resulted in identification for 22 proteins. Among the 22 differentially-expressed proteins, 17 show a up-regulated expression and 5 show a down-regulated expression. These differentially-expressed proteins found in this work have a wide coverage of functions which are related to energy metabolism, cytosheleton, protein biosynthesis, pre-mRNA splicing and processing, apoptosis regulation. These results imply that cancer cell has experienced a fundamental change in structure and metabolism pattern.

Carcinoma, Hepatocellular↗
PubMed2005

Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry.

The combined method of LC-MS/MS is increasingly being used to explore differences in the proteomic composition of complex biological systems. The reliability and utility of such comparative protein expression profiling studies is critically dependent on an accurate and rigorous assessment of quantitative changes in the relative abundance of the myriad of proteins typically present in a biological sample such as blood or tissue. In this review, we provide an overview of key statistical and computational issues relevant to bottom-up shotgun global proteomic analysis, with an emphasis on methods that can be applied to improve the dependability of biological inferences drawn from large proteomic datasets. Focusing on a start-to-finish approach, we address the following topics: 1) low-level data processing steps, such as formation of a data matrix, filtering, and baseline subtraction to minimize noise, 2) mid-level processing steps, such as data normalization, alignment in time, peak detection, peak quantification, peak matching, and error models, to facilitate profile comparisons; and, 3) high-level processing steps such as sample classification and biomarker discovery, and related topics such as significance testing, multiple testing, and choice of feature space. We report on approaches that have recently been developed for these steps, discussing their merits and limitations, and propose areas deserving of further research.

Animals↗
PubMed2026

Divergent evolutionary strategies in spider venoms: A comparative proteomic profiling of four sympatric species from Yunnan.

Spider venoms comprise complex cocktails of bioactive molecules evolved for predation and defense, representing a valuable resource for biological research and pharmaceutical discovery. In this study, we performed a systematic analysis of venom gland extracts from four common spider species indigenous to Yunnan, China: Agelena limbata, Hippasa lycosina, Lycosa grahami, and Sinopoda pengi. Using an integrated transcriptomic and proteomic targeted profiling approach, we successfully annotated 141 distinct toxins. Comparative analysis revealed significant interspecific heterogeneity, suggesting distinct evolutionary trajectories and "weapon system economics." Both A. limbata and L. grahami exhibited a "peptide-dominant" profile anchored by neurotoxic peptides and isomerases, optimized for rapid chemical paralysis. In contrast, S. pengi displayed a distinct "protein-dominant" signature enriched with high-molecular-weight enzymes and CAP superfamily proteins, likely functioning to facilitate tissue degradation and toxin diffusion. Occupying an intermediate position, H. lycosina demonstrated a hybrid composition. These findings suggest that although these species share the same geographical range, their venom systems have undergone divergent evolutionary adaptations driven by specific ecological niches and hunting strategies. This study represents the first systematic proteomic characterization of these venom components, providing a valuable reservoir of molecular candidates while highlighting the bioinformatic nuances of analyzing whole-gland homogenates.

Animals↗
PubMed2004

Comparative proteome analysis of thalamus in MK-801-treated rats.

Two-dimensional gel-electrophoresis in combination with mass spectrometry is a powerful approach to compare protein expression in brain tissues. Using this proteomic approach, and based on the hypothesis that schizophrenia involves hypoglutamergic brain function, alterations in protein levels in the thalamus of rats treated with the N-methyl-D-aspartate (NMDA) receptor antagonist [+]-5-methyl-10,11-dihydro-5H-dibenzo-[a,d]-cycloheptene-5,10-iminehydrogenmaleate (MK-801), as compared to saline-treated animals, were assessed in an unbiased fashion. The rats were divided into two groups; group 1 (short-term treated) and group 2 (long-term treated). In group 1, the levels of seven proteins were increased and four proteins reduced. In group 2, the levels of six proteins were reduced. Several of the altered proteins (heat shock proteins 60 and 72, albumin, dihydropyrimidinase related protein-2, aldolase c, and malate dehydrogenase) have previously been connected to schizophrenia. Alterations of other proteins (dihydrolipoamide acetyltransferase component of pyruvate dehydrogenase complex E2, guanine deaminase, alpha-enolase, aconitase, ATP-synthase and alpha-internexin), have not, to the best of our knowledge, earlier been implicated in schizophrenia pathology. Our results show the high potential of using proteomic methods for the validation of animal models of schizophrenia and to identify new proteins involved in the pathophysiological mechanisms of schizophrenia.

Animals↗
PubMed2005

Signal maps for mass spectrometry-based comparative proteomics.

Mass spectrometry-based proteomic experiments, in combination with liquid chromatography-based separation, can be used to compare complex biological samples across multiple conditions. These comparisons are usually performed on the level of protein lists generated from individual experiments. Unfortunately given the current technologies, these lists typically cover only a small fraction of the total protein content, making global comparisons extremely limited. Recently approaches have been suggested that are built on the comparison of computationally built feature lists instead of protein identifications. Although these approaches promise to capture a bigger spectrum of the proteins present in a complex mixture, their success is strongly dependent on the correctness of the identified features and the aligned retention times of these features across multiple experiments. In this experimental-computational study, we went one step further and performed the comparisons directly on the signal level. First signal maps were constructed that associate the experimental signals across multiple experiments. Then a feature detection algorithm used this integrated information to identify those features that are discriminating or common across multiple experiments. At the core of our approach is a score function that faithfully recognizes mass spectra from similar peptide mixtures and an algorithm that produces an optimal alignment (time warping) of the liquid chromatography experiments on the basis of raw MS signal, making minimal assumptions on the underlying data. We provide experimental evidence that suggests uniqueness and correctness of the resulting signal maps even on low accuracy mass spectrometers. These maps can be used for a variety of proteomic analyses. Here we illustrate the use of signal maps for the discovery of diagnostic biomarkers. An imple-mentation of our algorithm is available on our Web server.

Algorithms↗
PubMed2002

Comparative proteome analysis of Brucella melitensis vaccine strain Rev 1 and a virulent strain, 16M.

The genus Brucella consists of bacterial pathogens that cause brucellosis, a major zoonotic disease characterized by undulant fever and neurological disorders in humans. Among the different Brucella species, Brucella melitensis is considered the most virulent. Despite successful use in animals, the vaccine strains remain infectious for humans. To understand the mechanism of virulence in B. melitensis, the proteome of vaccine strain Rev 1 was analyzed by two-dimensional gel electrophoresis and compared to that of virulent strain 16M. The two strains were grown under identical laboratory conditions. Computer-assisted analysis of the two B. melitensis proteomes revealed proteins expressed in either 16M or Rev 1, as well as up- or down-regulation of proteins specific for each of these strains. These proteins were identified by peptide mass fingerprinting. It was found that certain metabolic pathways may be deregulated in Rev 1. Expression of an immunogenic 31-kDa outer membrane protein, proteins utilized for iron acquisition, and those that play a role in sugar binding, lipid degradation, and amino acid binding was altered in Rev 1.

Bacterial Proteins↗
PubMed2002

Comparative proteome bioinformatics: identification of a whole complement of putative protein tyrosine kinases in the model flowering plant Arabidopsis thaliana.

Phosphorylation by protein tyrosine kinases is crucial to the control of growth and development of multicellular eukaryotes, including humans, and it also seems to play an important role in multicellular prokaryotes. A plant tyrosine-specific kinase has not been identified yet; hence, plants have been suggested to share with unicellular eukaryote yeast a tyrosine phosphorylation system where a limited number of stress proteins are tyrosyl-phosphorylated only by a few dual-specificity (serine/threonine and tyrosine) kinases. However, preliminary evidence obtained so far suggests that tyrosine phosphorylation in plants depends on the developmental conditions. Since sequencing of the genome of the model flowering plant Arabidopsis thaliana has been recently completed, we have performed a bioinformatic screening of the whole Arabidopsis proteome to identify a model complement of bona fide protein tyrosine kinases. In silico analyses suggest that < 4% of Arabidopsis kinases are tyrosine-specific kinases, whose gene expression has been assessed by a preliminary polymerase chain reaction screening of an Arabidopsis cDNA library. Finally, immunological evidence confirms that the number of Arabidopsis proteins specifically phosphorylated on tyrosine residues is much higher than in yeast.

Amino Acid Sequence↗
PubMedDate not supplied

Evaluation of metabolic labeling for comparative proteomics in breast cancer cells.

Protein expression patterns in the cytosol of MCF-7 cells resistant to adriamycin and to adriamycin/verapamil were compared to that of the parental MCF-7 cell line and to each other using metabolic labeling and two-dimensional gel electrophoresis. Growing the parental MCF-7 cell line in 13C6-arginine- and 13C6-lysine-enriched medium resulted in C-terminal labeling of all tryptic peptides. The culture media was optimized for the incorporation of these labeled amino acids under conditions that also supported cell growth. Protein abundances were found to be distinctive in MCF-7 cells resistant to adriamycin and those selected for resistance to both adriamycin and verapamil.

Annexins↗
PubMed2004

Comparative proteomic analysis of planktonic and immobilized Pseudomonas aeruginosa cells: a multivariate statistical approach.

The protein maps of Pseudomonas aeruginosa cells from two natural (attached) and one artificial (gel-entrapped) immobilized-cell (IC) systems, together with their free (suspended) counterparts, were compared after incubation for 18 or 48 h in a minimal salt medium. Principal component analysis (PCA) was used to interpret the variations in protein spot densities that were observed on electropherogram obtained by two-dimensional electrophoresis (2-DE). PCA of the 2-DE data, a matrix of 933 rows (observations, i.e., spot density values) and 12 columns (variables, i.e., incubation conditions), in which observations were standardized horizontally, extracted four principal components (PCs) accounting for 78.75% of the variability in the protein expression profiles. PC1 opposed the two modes of growth (planktonic and immobilized) while PC2 discriminated between the incubation times of free cell cultures. The incubation conditions of ICs, including the immobilization procedure (entrapment vs attachment) and the nature of the biofilm substratum, were fairly separated in PC3xPC4. The dependence of the protein patterns on the cell immobilization process was further illustrated by the identification of a number of peptides whose amount remained unchanged or was altered in ICs compared to free bacteria. These results reinforce the topical assertion that bacteria in the immobilized state display a specific physiological behavior but also question the existence of a unique IC phenotype.

Bacterial Proteins↗
PubMed2004

PSORTb v.2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis.

MOTIVATION: PSORTb v.1.1 is the most precise bacterial localization prediction tool available. However, the program's predictive coverage and recall are low and the method is only applicable to Gram-negative bacteria. The goals of the present work are as follows: increase PSORTb's coverage while maintaining the existing precision level, expand it to include Gram-positive bacteria and then carry out a comparative analysis of localization. RESULTS: An expanded database of proteins of known localization and new modules using frequent subsequence-based support vector machines was introduced into PSORTb v.2.0. The program attains a precision of 96% for Gram-positive and Gram-negative bacteria and predictive coverage comparable to other tools for whole proteome analysis. We show that the proportion of proteins at each localization is remarkably consistent across species, even in species with varying proteome size. AVAILABILITY: Web-based version: http://www.psort.org/psortb. Standalone version: Available through the website under GNU General Public License. CONTACT: psort-mail@sfu.ca, brinkman@sfu.ca SUPPLEMENTARY INFORMATION: http://www.psort.org/psortb/supplementaryinfo.html.

Algorithms↗
PubMed2005

Comparative proteomic analysis of intra- and interindividual variation in human cerebrospinal fluid.

Cerebrospinal fluid (CSF) is a potential source of biomarkers for many disorders of the central nervous system, including Alzheimer disease (AD). Prior to comparing CSF samples between individuals to identify patterns of disease-associated proteins, it is important to examine variation within individuals over a short period of time so that one can better interpret potential changes in CSF between individuals as well as changes within a given individual over a longer time span. In this study, we analyzed 12 CSF samples, composed of pairs of samples from six individuals, obtained 2 weeks apart. Multiaffinity depletion, two-dimensional DIGE, and tandem mass spectrometry were used. A number of proteins whose abundance varied between the two time points was identified for each individual. Some of these proteins were commonly identified in multiple individuals. More importantly, despite the intraindividual variations, hierarchical clustering and multidimensional scaling analysis of the proteomic profiles revealed that two CSF samples from the same individual cluster the closest together and that the between-subject variability is much larger than the within-subject variability. Among the six subjects, comparison between the four cognitively normal and the two very mildly demented subjects also yielded some proteins that have been identified in previous AD biomarker studies. These results validate our method of identifying differences in proteomic profiles of CSF samples and have important implications for the design of CSF biomarker studies for AD and other central nervous system disorders.

Cerebrospinal Fluid Proteins↗
PubMed2007

A comparative proteome and phosphoproteome analysis of differentially regulated proteins during fertilization in the self-incompatible species Solanum chacoense Bitt.

We have used 2-DE for a time-course study of the changes in protein and phosphoprotein expression that occur immediately after fertilization in Solanum chacoense. The phosphorylation status of the detected proteins was determined with three methods: in vivo labeling, immunodetection, and phosphoprotein-specific staining. Using a pI range of 4-7, 262 phosphorylated proteins could be mapped to the 619 proteins detected by Sypro Ruby staining, representing 42% of the total proteins. Among these phosphoproteins, antibodies detected 184 proteins from which 78 were also detected with either of the other two methods (42%). Pro-Q Diamond phosphoprotein stain detected 111 proteins, of which 76 were also detected with either of the other two methods (68%). The 32P in vivo labeling method detected 90 spots from which 78 were also detected with either of other two methods (87%). On comparing before and after fertilization profiles, 38 proteins and phosphoproteins presented a reproducible change in their accumulation profiles. Among these, 24 spots were selected and analyzed by LC-MS/MS using a hybrid quadrupole-TOF (Q-TOF) instrument. Peptide data were searched against publicly available protein and EST databases, and the putative roles of the identified proteins in early fertilization events are discussed.

Fertilization↗
PubMed2002

Comparative proteomic analysis of extracellular proteins of Edwardsiella tarda.

A comparison of extracellular proteins of virulent and avirulent Edwardsiella tarda strains revealed several major, virulent-strain-specific proteins. Proteomic analysis identified two of the proteins in the virulent strain PPD130/91 as flagellin and SseB, which are virulence factors in bacterial pathogens. PCR amplification and DNA sequencing confirmed the presence of the genes that encode these proteins. Our results clearly demonstrated the potency of the proteomic approach in identifying virulence factors.

Amino Acid Sequence↗
PubMed2004

Comparative proteomic analysis of GS-NS0 murine myeloma cell lines with varying recombinant monoclonal antibody production rate.

We have employed an inverse engineering strategy based on quantitative proteome analysis to identify changes in intracellular protein abundance that correlate with increased specific recombinant monoclonal antibody production (qMab) by engineered murine myeloma (NS0) cells. Four homogeneous NS0 cell lines differing in qMab were isolated from a pool of primary transfectants. The proteome of each stably transfected cell line was analyzed at mid-exponential growth phase by two-dimensional gel electrophoresis (2D-PAGE) and individual protein spot volume data derived from digitized gel images were compared statistically. To identify changes in protein abundance associated with qMab datasets were screened for proteins that exhibited either a linear correlation with cell line qMab or a conserved change in abundance specific only to the cell line with highest qMab. Several proteins with altered abundance were identified by mass spectrometry. Proteins exhibiting a significant increase in abundance with increasing qMab included molecular chaperones known to interact directly with nascent immunoglobulins during their folding and assembly (e.g., BiP, endoplasmin, protein disulfide isomerase). 2D-PAGE analysis showed that in all cell lines Mab light chain was more abundant than heavy chain, indicating that this is a likely prerequisite for efficient Mab production. In summary, these data reveal both the adaptive responses and molecular mechanisms enabling mammalian cells in culture to achieve high-level recombinant monoclonal antibody production.

Adaptation, Physiological↗
PubMed2026

Comparative proteomic analysis reveals the pathological mechanisms of overuse achilles tendinopathy and the therapeutic mechanisms of ESWT and PRP.

BACKGROUND: Achilles tendinopathy is a common musculoskeletal disorder with limited self-repair capacity. Although extracorporeal shock wave therapy (ESWT) and platelet-rich plasma (PRP) are widely used, their therapeutic mechanisms remain unclear. METHODS: A rat model of overuse Achilles tendinopathy was established by uphill treadmill running. Tendon morphology and structure were assessed by ultrasound and histology, and proteomic profiling was performed to identify differentially expressed proteins (DEPs) and enriched pathways. RESULTS: Ultrasound revealed subcutaneous edematous infiltration after overuse, and histology showed disorganized collagen fibers and altered cellular density. Compared with the normal group, the injury group showed 429 DEPs, which were enriched in pathways related to actin cytoskeleton and complement and coagulation cascades. Both ESWT and PRP treatments ameliorated these overuse-induced pathological changes. Compared with the rest group, the ESWT group showed 30 DEPs, while the PRP group showed 244, with 17 DEPs overlapping between the two comparisons. In the ESWT group, enriched pathways included actin cytoskeleton organization, protein stabilization, and sulfur metabolism. In the PRP group, enriched pathways included Fc&#x3b3;R-mediated phagocytosis, lysosome, and endoplasmic reticulum protein processing. Compared with the normal group, the ESWT group showed 32 DEPs, whereas the PRP group showed only one (Serpina6), which was the only protein shared between the two comparisons. CONCLUSION: ESWT and PRP improve tendon healing in overuse Achilles tendinopathy through different molecular mechanisms. The PRP group showed a proteomic profile more similar to the normal group than the ESWT group. These findings provide a molecular basis for optimizing clinical treatment strategies.

Animals↗
PubMed2006

Comparative proteomic analysis to study molecular events during gonad development in mice.

Sex determination represents a critical bifurcation in the road of embryonic development. It is based on a finely regulated network of gene activity, as well as protein-protein interactions and activation or silencing of signaling pathways. Despite the identification of a number of critical genes, many aspects of the molecular cascade that drives the differentiation of the embryonic gonad into either a testis or an ovary remain poorly understood. To identify new proteins involved in this cascade, we employed two-dimensional gel electrophoresis and mass spectrometry to compare the protein expression profiles of fetal mouse testes and ovaries. Three proteins, hnRPA1, TRA1, and HSC71, were found to be expressed in a male-specific manner and this expression was confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR) and in situ hybridization. Moreover, HSC71 was found to be hyperphosphorylated in male compared to female gonads, emphasizing the advantage of the proteomic approach in allowing the detection of posttranslational modifications.

Animals↗