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PubMed2006

Characterization of the mouse brain proteome using global proteomic analysis complemented with cysteinyl-peptide enrichment.

We report a global proteomic approach for analyzing brain tissue and for the first time a comprehensive characterization of the whole mouse brain proteome. Preparation of the whole brain sample incorporated a highly efficient cysteinyl-peptide enrichment (CPE) technique to complement a global enzymatic digestion method. Both the global and the cysteinyl-enriched peptide samples were analyzed by SCX fractionation coupled with reversed phase LC-MS/MS analysis. A total of 48,328 different peptides were confidently identified (>98% confidence level), covering 7792 nonredundant proteins ( approximately 34% of the predicted mouse proteome). A total of 1564 and 1859 proteins were identified exclusively from the cysteinyl-peptide and the global peptide samples, respectively, corresponding to 25% and 31% improvements in proteome coverage compared to analysis of only the global peptide or cysteinyl-peptide samples. The identified proteins provide a broad representation of the mouse proteome with little bias evident due to protein pI, molecular weight, and/or cellular localization. Approximately 26% of the identified proteins with gene ontology (GO) annotations were membrane proteins, with 1447 proteins predicted to have transmembrane domains, and many of the membrane proteins were found to be involved in transport and cell signaling. The MS/MS spectrum count information for the identified proteins was used to provide a measure of relative protein abundances. The mouse brain peptide/protein database generated from this study represents the most comprehensive proteome coverage for the mammalian brain to date, and the basis for future quantitative brain proteomic studies using mouse models. The proteomic approach presented here may have broad applications for rapid proteomic analyses of various mouse models of human brain diseases.

Animals↗
PubMed2006

Quantitative proteomics reveals posttranslational control as a regulatory factor in primary hematopoietic stem cells.

The proteome is determined by rates of transcription, translation, and protein turnover. Definition of stem cell populations therefore requires a stem cell proteome signature. However, the limit to the number of primary cells available has restricted extensive proteomic analysis. We present a mass spectrometric method using an isobaric covalent modification of peptides for relative quantification (iTRAQ), which was employed to compare the proteomes of approximately 1 million long-term reconstituting hematopoietic stem cells (Lin(-)Sca(+)Kit(+); LSK(+)) and non-long-term reconstituting progenitor cells (Lin(-)Sca(+)Kit(-); LSK(-)), respectively. Extensive 2-dimensional liquid chromatography (LC) peptide separation prior to mass spectrometry (MS) enabled enhanced proteome coverage with relative quantification of 948 proteins. Of the 145 changes in the proteome, 54% were not seen in the transcriptome. Hypoxia-related changes in proteins controlling metabolism and oxidative protection were observed, indicating that LSK(+) cells are adapted for anaerobic environments. This approach can define proteomic changes in primary samples, thereby characterizing the molecular signature of stem cells and their progeny.

Animals↗
PubMed2025

Plasma Proteomic Profiles of Pediatric Patients With Human Herpesvirus 6B Encephalitis Following Umbilical Cord Blood Transplantation.

Human herpesvirus 6B (HHV-6B) encephalitis is a rare but severe complication of hematopoietic cell transplantation. This study investigated the pathogenesis of HHV-6B encephalitis by comparing plasma proteomic profiles of four pediatric patients with HHV-6B encephalitis to three with asymptomatic HHV-6B reactivation following umbilical cord blood transplantation (UCBT). Plasma proteomic profiling was conducted using liquid chromatography-mass spectrometry. Overall, 260 proteins were identified and quantified in plasma samples. At the onset of HHV-6B encephalitis and asymptomatic reactivation, 20 and 24 proteins, respectively, were significantly upregulated compared to their respective pre-onset levels. Of these, 11 proteins were uniquely upregulated in HHV-6B encephalitis. S100-A9 and S100-A8 were the most and second-most upregulated proteins in HHV-6B encephalitis, respectively. Elevated plasma S100A8/A9 heterodimer levels were confirmed via enzyme-linked immunosorbent assay in three of the four patients with HHV-6B encephalitis. Pathway analysis identified neutrophil degranulation as the most enriched category among upregulated proteins in HHV-6B encephalitis. Additionally, proteins related to the protein-lipid complex remodeling pathway were more prominently upregulated in HHV-6B encephalitis than in asymptomatic reactivation. Proteomic analysis revealed distinct plasma protein profiles between HHV-6B encephalitis and asymptomatic HHV-6B reactivation in pediatric UCBT recipients. The inflammatory response mediated by S100A8/A9 proteins may play a critical role in the pathogenesis of HHV-6B encephalitis. These findings indicate that proteomic analysis may provide novel insights into the host response to HHV-6B reactivation and the subsequent development of HHV-6B encephalitis.

Humans↗
PubMed2007

Protein expression in a Drosophila model of Parkinson's disease.

Liquid chromatographies coupled to mass spectrometry and database analysis techniques are used to carry out a large-scale proteome characterization for a Drosophila model of Parkinson's disease. Semiquantitative analysis is performed on A30P alpha-synuclein expressing transgenic Drosophila and a control lacking the gene at presymptomatic, early, and advanced disease stages. Changes in gene expression at the level of the proteome are compared with changes reported from published transcriptome measurements. A summary of the comparison indicates that approximately 44% of transcripts that show changes can also be observed as proteins. However, the patterns of change in protein expression vary substantially compared with the patterns of change observed for corresponding transcripts. In addition, the expression changes of many genes are observed for only transcripts or proteins. Proteome measurements provide evidence for dysregulation of a group of proteins associated with the actin cytoskeleton and mitochondrion at presymptomatic and early disease stages that may presage the development of later symptoms. Overall, the proteome measurements provide a view of gene expression that is highly complementary to the insights obtained from the transcriptome.

Animals↗
PubMed2006

Plasmodium post-genomics: better the bug you know?

Since the publication of the sequence of the genome of Plasmodium falciparum, the major causative agent of human malaria, many post-genomic studies have been completed. Invaluably, these data can now be analysed comparatively owing to the availability of a significant amount of genome-sequence data from several closely related model species of Plasmodium and accompanying global proteome and transcriptome studies. This review summarizes our current knowledge and how this has already been--and will continue to be--exploited in the search for vaccines and drugs against this most significant infectious disease of the tropics.

Animals↗
PubMedDate not supplied

Ribosomal protein P2: a potential molecular target for antisense therapy of human malignancies.

BACKGROUND: Ribosomal protein P2 is an important component of protein translation machinery. We hypothesized that antisense-mediated depletion may disrupt the proteome of cancer cells. This study includes experiments to ascertain whether this could be a useful approach for cancer therapies. MATERIALS AND METHODS: MIA PaCa-2 and BxPC-3 cells were transfected with P2-antisense oligonucleotide or controls. Growth was assayed using MTT. Protein P2 was measured using Western blotting. Proteomes were compared using two-dimensional electrophoresis and changes were characterized by mass spectrometry. A macroarray was used to identify cancers which may be vulnerable. RESULTS: Antisense-P2 reduced P2 levels by 63% (p < 0.05) and inhibited BxPC-3 growth to 65% of control (p < 0.05). Seventeen (5.4%) proteins changed on two-dimensional electrophoresis including Rho C, translationally-controlled tumor protein, vinculin, LDH, ribosomal protein L23a, F-actin capping protein and eIF-3. Breast cancer underexpressed P2 compared to normal tissue (p < 0.001). CONCLUSION: Antisense-P2 technology has potential to slow growth of cancer cells. This effect is mediated through multiple proteomic changes.

Base Sequence↗
PubMed2004

Proteome-level differences between auxinic-herbicide-susceptible and -resistant wild mustard (Sinapis arvensis L.).

To identify proteins that may be involved in mediating auxinic herbicide resistance (i.e., resistance to dicamba, picloram, 2,4-D), we compared the proteomes of an auxinic-herbicide-susceptible (S) and -resistant (R) wild mustard (Sinapis arvensis L.) biotype at different developmental stages. Using two-dimensional electrophoresis and mass spectrometry, we identified 11 seedling and leaf proteins that showed reproducible differences in expression between the S and the R wild mustard biotype following application of dicamba. Our proteome-level studies revealed the increased expression of the enzyme peptidylprolyl cis-trans isomerase (PPIase), which has recently been implicated in auxin signal transduction. Juglone, an inhibitor of PPIase, interfered with the normal ability of R seeds to germinate in the presence of dicamba, whereas S seeds did not germinate in the presence of dicamba or dicamba plus juglone. When R and S plants (3-4 leaf stage) were treated with dicamba, S showed typical auxinic herbicide effects (e.g., epinasty) whereas R did not. However, the concomitant application of dicamba and juglone to greenhouse-grown R plants produced morphological changes that were consistent with known auxinic-herbicide-induced symptoms. This is the first report suggesting the potential involvement of differential expression of PPIase in mediating auxinic herbicide resistance.

Dicamba↗
PubMed2002

Proteomic analysis of human eosinophil activation mediated by mast cells, granulocyte macrophage colony stimulating factor and tumor necrosis factor alpha.

We assessed mast cell influence on eosinophils, the prominent cells in late and chronic allergic reactions, by comparing the proteomic pattern of eosinophils incubated with mast cells, tumor necrosis factor alpha (TNF-alpha) or granulocyte macrophage colony stimulating factor (GM-CSF). Eosinophils were incubated with the human mast cell line HMC-1 cellular sonicate and their survival and GM-CSF production were evaluated. For proteomic studies, eosinophils were cultured with HMC-1 sonicate, TNF-alpha or GM-CSF in the presence of [(35)S]methionine, solubilized and submitted to isolelectric focusing separation and sodium dodecyl sulfate polyacrylamide gel electrophoresis in the ISODALT system, followed by radiofluorography and computer image analysis. HMC-1-incubated eosinophils displayed increased survival partly mediated by mast cell-associated TNF-alpha, and produced GM-CSF. Metabolically labeled eosinophils incubated with either HMC-1, TNF-alpha or GM-CSF released eosinophil peroxidase. Comparison of two-dimensional gel spots from the eosinophils revealed that each of the three activating signals yielded a distinctly different proteomic pattern of labeled polypeptides. GM-CSF provided the strongest signal and the highest rate of protein synthesis (1,018 spots) followed by TNF-alpha (747 spots) and HMC-1 sonicate (611 spots). A portion of spots differed both in terms of quality and quantity. Although each stimulus induced similar functional effects, the resulting biosynthetic programs of the eosinophils greatly differed. The presented proteomic analysis is the first step in the exploration of molecular mechanisms involved in eosinophil activation.

Autocrine Communication↗
PubMedDate not supplied

DTASelect and Contrast: tools for assembling and comparing protein identifications from shotgun proteomics.

The components of complex peptide mixtures can be separated by liquid chromatography, fragmented by tandem mass spectrometry, and identified by the SEQUEST algorithm. Inferring a mixture's source proteins requires that the identified peptides be reassociated. This process becomes more challenging as the number of peptides increases. DTASelect, a new software package, assembles SEQUEST identifications and highlights the most significant matches. The accompanying Contrast tool compares DTASelect results from multiple experiments. The two programs improve the speed and precision of proteomic data analysis.

Algorithms↗
PubMed2006

Proteomics profiling of epidermal mucus secretion of a cichlid (Symphysodon aequifasciata) demonstrating parental care behavior.

The discus fish (Symphysodon aequifasciata) is a cichlid demonstrating advanced mode of parental care towards fry. Both male and female fish utilized epidermal mucus secreted from specialized epidermal cells to feed developing fry. We utilized proteomics to compare protein profile from parental and nonparental fish. Gel analysis revealed a total of 35 spots that were up-regulated in parental mucus. In tandem, another 18 spots were uniquely expressed in parental mucus. MS analysis of these spots identified proteins such as fructose biphosphate aldolase, nucleoside diphosphate kinase, and heat shock proteins, which are essential to support energy provision, cell repair and proliferation, stress mediation, and defense mechanism in parental fish during parental-care period. Concurrently, the detection of several antioxidant-related proteins such as thioredoxin peroxidase and hemopexin suggests a need to overcome oxidative stress during hypermucosal production in parental-care behavior. A C-type lectin was also found to be uniquely expressed in parental mucus and could have important role in providing antimicrobial defense to both parental fish and fry. In summary, our study shows that discus mucus proteome undergoes changes in protein expression during parental-care period.

Amino Acid Sequence↗
PubMed2026

Community-driven advances in computational mass spectrometry: The perspective of EuBIC-MS members.

Advances in data acquisition, artificial intelligence, and integrative bioinformatics are driving the rapid evolution of computational mass spectrometry, and in turn, transforming modern proteomics, metabolomics, and lipidomics. These developments have greatly increased the scale and complexity of mass spectrometry data, underscoring the importance of evolving accurate, transparent, efficient and reproducible data processing workflows. Addressing these challenges requires collaborative innovation that brings together expertise in software engineering, statistics, and biology. The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS), an initiative of the European Proteomics Association (EuPA), fosters a culture of open, community-driven development through its biennial Developers Meetings and Winter Schools. This commentary summarizes the scientific background and outcomes of the EuBIC-MS Developers Meeting 2025, which took place in Novacella, Italy. Three keynote presentations highlighted major frontiers in the field: deep proteome and phosphoproteome profiling, text mining for protein-protein interaction extraction, and scalable proteomics for AI-driven drug discovery. Seven community-selected hackathons addressed emerging challenges such as single-cell proteomics data analysis, FAIR metadata extraction, deep learning frameworks, R-Python interoperability, and DIA validation. Together, these efforts demonstrate the potential for scientific and technical innovation to arise from open collaboration, and highlight how community-driven initiatives can accelerate progress in computational mass spectrometry. SIGNIFICANCE: Modern proteomics increasingly depends on computational advances to translate complex, high-dimensional data into biological knowledge. The EuBIC-MS Developers Meeting 2025 exemplifies how community-driven collaboration can directly accelerate this process by bringing together experts from bioinformatics, statistics, and experimental proteomics to co-develop open, interoperable, and reproducible analytical tools. By fostering shared software frameworks, transparent benchmarking, and collaborative problem solving, the EuBIC-MS community helps ensure that technological innovation translates into reliable biological insights. This collaborative model strengthens the foundation for quantitative, system-level understanding of proteomes and establishes a sustainable path for integrating artificial intelligence and next-generation data acquisition into routine biological discovery. This commentary shows some current highlights in the field of computational mass spectrometry and community-based approaches undertaken during the most recent Developers Meeting to solve these challenges. The approaches discussed and initiated during the meeting - ranging from deep proteome profiling and phosphosite mapping to text mining, single-cell data analysis, and FAIR metadata extraction - address key bottlenecks that currently limit the biological interpretability and comparability of proteomics data.

Mass Spectrometry↗
PubMed2004

Proteomics in aging-related research.

Aging is characterized by changes in a variety of cellular phenotypes, which in turn are caused by alterations in the concentrations, compositions, and interactions of cellular proteins. The characterization of these age-associated protein alterations and of their effect on the ability of the organism to maintain homeostasis is thus of critical importance. Proteomics is an emerging scientific discipline that focuses on the determination and analysis of the entire protein complement of a cell (termed the proteome) and of its distribution within the cell. Proteomic analysis provides information about the levels of protein expression under a variety of conditions and about the nature of posttranscriptional modifications, and reveals specific protein complexes. By comparing the proteomes of young and old cells under a variety of conditions, detailed information on the molecular basis of their different phenotypes can be obtained. Although still under development, this scientific discipline holds great promise for aging-related research.

Aging↗
PubMed2006

Specific changes in the proteomic pattern produced by the BRCA1-Ser1841Asn missense mutation.

BRCA1 is a nuclear phosphoprotein that plays a key role in many cell functions, including DNA repair, control of transcription, recombination and cell cycle homeostasis. Inherited missense mutations in the BRCA1 gene may predispose to breast and ovarian cancer, but the molecular mechanisms underlying BRCA1-induced tumorigenesis are still to be elucidated. Functional studies performed so far have contributed to the characterization of several single-nucleotide variants, mostly located at the BRCT domain, but very little is known about modifications in the protein pattern occurring in cells carrying these mutations. To shed more light in the molecular events triggered by missense mutations affecting breast cancer susceptibility genes, we have analyzed the whole cell proteome of stably transfected HeLa cell lines bearing three distinct single aminoacid changes in the BRCA1 protein (Ser1841Asn, Met1775Arg and Trp1837Arg) by means of liquid chromatography coupled to tandem-mass spectrometry. The results show that the Met1775Arg and the Trp1837Arg do not produce significant changes in the proteomic pattern compared to cells transfected with the wild-type BRCA1 cDNA. On the other hand, a different profile is detected in the BRCA1 Ser1841Asn-bearing cell line. In this particular subset, our attention has been focused on two proteins--the tumor protein D52 (TD52) and the folate receptor alpha (FOL1)--whose expression has been already reported to be upregulated in breast cancer, as well as in other tumors. Our findings indicate that Ser1841Asn BRCA1 mutation is able to activate specific protein pathways that are not triggered by other single aminoacid changes and pinpoint to the role TD52 and FOL1 as potential markers in breast cancer patients carrying this particular BRCA1 gene alteration.

Amino Acid Substitution↗
PubMed2006

Proteome and transcriptome analysis of 5-fluoro-2'-deoxyuridine-induced cell death mechanisms.

5-Fluoro-2'-deoxyuridine (FUdR) inhibits thymidylate synthase. The inhibition of thymidylate synthase causes an imbalance of intracellular deoxyribonucleoside triphosphate (dNTP) pools which subsequently induced cell death. We have been investigated the molecular mechanisms of cell death in mouse mammary tumor FM3A cells, F28-7 strain and its mutant F28-7-A strain, after treated with FUdR. We have previously been reported that F28-7 strain induced DNA cleavage into chromosomal sized fragments and subsequently develop necrosis, but F28-7-A strain induced DNA cleavage into oligonucleosomal sized fragments and subsequently develop apoptosis after treated with FUdR. In this report, in order to understand the molecular mechanisms of regulate of two differential cell death necrosis and apoptosis, we identify cell death regulator by using proteome and transcriptome analysis. When compared with the proteome from F28-7 strain and F28-7-A strain, it was found that ten proteins were increased and six proteins were decreased in F28-7-A strain. Furthermore, transcriptome analysis shows that 127 genes were increased and 181 genes were decreased in F28-7-A strain. These differentially expressed proteins and genes were involved in various cellular processes such as cell cycle regulation, apoptosis, proliferation, and differentiation. These two techniques clarified numerous features in F28-7 strain and F28-7-A strain. Our results revealed that numerous features indicated the coordinated regulation of molecular networks from various aspects of necrosis or apoptosis at the proteome and transcriptome levels.

Animals↗
PubMed2006

The proteome of central and peripheral retina with progression of age-related macular degeneration.

PURPOSE: A growing understanding of the molecular events in age-related macular degeneration (AMD) has lead to targeted therapies for a select group of patients with advanced AMD. Development of therapies for the earlier stages requires further elucidation of disease mechanisms. In this study, a proteomics approach was used to identify proteins that had altered content in human donor eyes with progression of AMD. METHODS: The early molecular events associated with AMD were identified by comparing the proteome of the macular and peripheral neurosensory retina during four progressive stages of AMD. Proteins were resolved and quantified by two-dimensional gel electrophoresis. Twenty-six proteins exhibited changes in content and were identified by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry. Two-dimensional (2-D) and semiquantitative one-dimensional (1-D) Western blot analyses were used to determine whether changes identified by proteomic analysis were specific for a protein subpopulation or representative of the entire protein population. RESULTS: Twenty-six proteins were identified that exhibited changes at disease onset or with progression (indicating potential causal mechanisms) and at end-stage disease (indicating potential secondary consequences). These proteins are involved in key functional pathways, such as microtubule regulation and protection from stress-induced protein unfolding. Approximately 60% of the proteins exhibited changes specific to either the macula or periphery, with the remaining 40% changing in both regions. These results imply that both the macula and periphery are affected by AMD. CONCLUSIONS: This study provides the first direct evidence of AMD stage- and region-specific changes in retinal protein levels and highlights potential novel, disease-related proteins and biochemical pathways for future studies of AMD.

Adult↗
PubMed2006

Proteomic identification of potential target proteins regulated by an ASK1-mediated proteolysis pathway.

The ASK1 (ARABIDOPSIS SKP1-LIKE) protein is a critical component of the SCF (Skp1-Cullin-F box protein) ubiquitin ligase complexes that recruit target proteins for degradation by the 26S proteosome. To investigate proteins that are affected by the ASK1-mediated proteolysis pathway in Arabidopsis flowers, we compared the proteomes of the Arabidopsis wild type and ask1 mutant flower buds using two-dimensional electrophoresis (2-DE). Ten protein spots with higher or lower abundance in the ask1 mutant flowers compared to wild type flowers were excised and subjected to further mass spectrometry (MS) analysis. The results showed that they were proteins involved in photomorphogenesis, circadian oscillation, post-translation process, stress-responses and cell expansion or elongation, suggesting that those processes were affected in the ask1 mutant. The transcript levels of these genes were also compared based on the Affymetrix gene chip microarray data. No significant difference was observed for most of the genes, suggesting that the proteins with elevated levels of accumulation in the ask1 mutant could be candidate targets regulated by an ASK1-mediated proteolysis pathway. These results help to elucidate the pleiotropic functions of ASK1 in Arabidopsis developmental processes and also demonstrate the importance and necessity of studying protein levels with respect to gene functions.

Arabidopsis↗
PubMed2006

A proteomic study of Methylobacterium extorquens reveals a response regulator essential for epiphytic growth.

Aerial plant surfaces are colonized by diverse bacteria such as the ubiquitous Methylobacterium spp. The specific physiological traits as well as the underlying regulatory mechanisms for bacterial plant colonization are largely unknown. The purpose of this study was to identify proteins produced specifically in the phyllosphere by comparing the proteome of Methylobacterium extorquens colonizing the leaves either with that of bacteria colonizing the roots or with that of bacteria growing on synthetic medium. We identified 45 proteins that were more abundant in M. extorquens present on plant surfaces as compared with bacteria growing on synthetic medium, including 9 proteins that were more abundant on leaves compared with roots. Among the proteins induced during epiphytic growth, we found enzymes involved in methanol utilization, prominent stress proteins, and proteins of unknown function. In addition, we detected a previously undescribed type of two-domain response regulator, named PhyR, that consists of an N-terminal sigma factor (RpoE)-like domain and a C-terminal receiver domain and is predicted to be present in essentially all Alphaproteobacteria. The importance of PhyR was demonstrated through phenotypic tests of a deletion mutant strain shown to be deficient in plant colonization. Among PhyR-regulated gene products, we found a number of general stress proteins and, in particular, proteins known to be involved in the oxidative stress response such as KatE, SodA, AhpC, Ohr, Trx, and Dps. The PhyR-regulated gene products partially overlap with the bacterial in planta-induced proteome, suggesting that PhyR is a key regulator for adaptation to epiphytic life of M. extorquens.

Arabidopsis↗
PubMed2003

Proteome analysis of diploid, tetraploid and hexaploid wheat: towards understanding genome interaction in protein expression.

Hexaploid wheat (Triticum aestivum L.) is derived from a complex hybridization procedure involving three diploid species carrying the A, B and D genomes. The proteome patterns of diploid, tetraploid and hexaploid wheat were analyzed to explore the genome interaction in protein expression. At least two species from each of the diploid and tetraploid were used to compare their proteome maps with a hexaploid wheat cv. Chinese Spring. The ancestral cultivars were selected based on their history of closeness with the cultivated wheat. Proteins were extracted from seed flour and separated by two-dimensional electrophoresis (2-DE) with isoelectric focusing of pH range from 4-10. 2-DE maps of cultivated and ancestral species were analyzed by computer assisted image analyzer. The region of high molecular weight glutenin subunits of hexaploid wheat showed similarity with those of the diploid donors, BB and DD genomes. The omega gliadin, which is controlled by B genome in common wheat, was assumed to have evolved as a result of interaction between AA and BB genomes. The low molecular weight glutenins and alpha and beta gliadin regions were contributed by the three genomes. This result suggests that the function of donor genomes particularly in the expression of proteins in hexaploid wheat is not totally independent; rather it is the product of interactions among the diploid genomes in the hexaploid nuclear constitutions. The expression of nonstorage proteins was affected substantially due to the removal of the D genome from hexaploid constitution. Location of the structural gene controlling one of the alpha amylase inhibitor proteins in the nonstorage protein region was identified in the short arm of chromosome 3D.

Chromosome Aberrations↗