An update on medium- and low-abundant blood plasma proteome of horse

The main objectives of the study were to: (1) deeply analyse the serum protein composition of Equus caballus, (2) assess the effectiveness of the high-abundant protein depletion and improve the concentration of medium- and low-abundant proteins. The analysis were performed on the blood plasma of three healthy part-Arabian mares. The implementation of two-dimensional electrophoresis and matrix-assisted laser desorption/ionisation – time of flight mass spectrometry allowed us to establish a horse plasma proteome map. Serum proteins were resolved at pH 4 to 7, followed by 12% SDS-PAGE. As a result 136 spots were successfully identified, representing the products of 46 unique genes. Of these, 22 gene products have not been previously identified in horse serum/plasma samples using proteomic tools. Gene ontology analysis showed that almost 30% of all identified gene products belong to the coagulation and complement cascades. These results can undoubtedly serve as a useful and prospective prerequisite for the future analysis of horse plasma proteome changes in different physiological and pathophysiological conditions. The use of the medium- and low-abundant protein enrichment tool increased their abundance and allowed us to identify a higher number of protein gene products. The highest depletion efficiency was observed for the most abundant plasma proteins, that is albumin, IgG heavy chains and serotransferrin.     

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.     

Mechanisms regulating proteostasis are involved in sympatric speciation of the blind mole rat,Spalax galili

Genome-wide analysis demonstrates extensive genomic adaptive complexes involved in sympatric speciation between blind mole rats (Spalax galili) in abutting populations living in basalt and chalk soils. Among the gene ontology (GO) enrichment, musculature and metabolism stood out in basalt dwellers while nutrition and neurogenetics were highlighted in chalk residents. Measurements of mechanisms regulating protein homeostasis inspired by these GO terms suggest that at the proteomic level there is also a habitat/soil-type driven divergence with the basalt residents exhibiting higher proteasome activity whereas elevated levels of markers of autophagy are evident in the chalk inhabitants.     

Evolutionary conservation of the polyproline II conformation surrounding intrinsically disordered phosphorylation sites

Intrinsically disordered (ID) proteins function in the absence of a unique stable structure and appear to challenge the classic structure-function paradigm. The extent to which ID proteins take advantage of subtle conformational biases to perform functions, and whether signals for such mechanism can be identified in proteome-wide studies is not well understood. Of particular interest is the polyproline II (PII) conformation, suggested to be highly populated in unfolded proteins. We experimentally determine a complete calorimetric propensity scale for the PII conformation. Projection of the scale into representative eukaryotic proteomes reveals significant PII bias in regions coding for ID proteins. Importantly, enrichment of PII in ID proteins, or protein segments, is also captured by other PII scales, indicating that this enrichment is robustly encoded and universally detectable regardless of the method of PII propensity determination. Gene ontology (GO) terms obtained using our PII scale and other scales demonstrate a consensus for molecular functions performed by high PII proteins across the proteome. Perhaps the most striking result of the GO analysis is conserved enrichment (P < 10⁻⁸) of phosphorylation sites in high PII regions found by all PII scales. Subsequent conformational analysis reveals a phosphorylation-dependent modulation of PII, suggestive of a conserved “tunability” within these regions. In summary, the application of an experimentally determined polyproline II (PII) propensity scale to proteome-wide sequence analysis and gene ontology reveals an enrichment of PII bias near disordered phosphorylation sites that is conserved throughout eukaryotes.     

Informatics-assisted protein profiling in a transgenic mouse model of amyotrophic lateral sclerosis

One of the causes of amyotrophic lateral sclerosis (ALS) is due to mutations in Cu,Zn-superoxide dismutase (SOD1). The mutant protein exhibits a toxic gain of function that adversely affects the function of neurons in the spinal cord, brain stem, and motor cortex. A proteomic analysis of protein expression in a widely used mouse model of ALS was undertaken to identify differences in protein expression in the spinal cords of mice expressing a mutant protein with the G93A mutation found in human ALS. Protein profiling was done on soluble and particulate fractions of spinal cord extracts using high throughput two-dimensional liquid chromatography coupled to tandem mass spectrometry. An integrated proteomics-informatics platform was used to identify relevant differences in protein expression based upon the abundance of peptides identified by database searching of mass spectrometry data. Changes in the expression of proteins associated with mitochondria were particularly prevalent in spinal cord proteins from both mutant G93A-SOD1 and wild-type SOD1 transgenic mice. G93A-SOD1 mouse spinal cord also exhibited differences in proteins associated with metabolism, protein kinase regulation, antioxidant activity, and lysosomes. Using gene ontology analysis, we found an overlap of changes in mRNA expression in presymptomatic mice (from microarray analysis) in three different gene categories. These included selected protein kinase signaling systems, ATP-driven ion transport, and neurotransmission. Therefore, alterations in selected cellular processes are detectable before symptomatic onset in ALS mouse models. However, in late stage disease, mRNA expression analysis did not reveal significant changes in mitochondrial gene expression but did reveal concordant changes in lipid metabolism, lysosomes, and the regulation of neurotransmission. Thus, concordance of proteomic and mRNA expression data within multiple categories validates the use of gene ontology analysis to compare different types of "omic" data.     

In planta chemical cross‐linking and mass spectrometry analysis of protein structure and interaction in Arabidopsis

Site‐specific chemical cross‐linking in combination with mass spectrometry analysis has emerged as a powerful proteomic approach for studying the three‐dimensional structure of protein complexes and in mapping protein–protein interactions (PPIs). Building on the success of MS analysis of in vitro cross‐linked proteins, which has been widely used to investigate specific interactions of bait proteins and their targets in various organisms, we report a workflow for in vivo chemical cross‐linking and MS analysis in a multicellular eukaryote. This approach optimizes the in vivo protein cross‐linking conditions in Arabidopsis thaliana, establishes a MudPIT procedure for the enrichment of cross‐linked peptides, and develops an integrated software program, exhaustive cross‐linked peptides identification tool (ECL), to identify the MS spectra of in planta chemical cross‐linked peptides. In total, two pairs of in vivo cross‐linked peptides of high confidence have been identified from two independent biological replicates. This work demarks the beginning of an alternative proteomic approach in the study of in vivo protein tertiary structure and PPIs in multicellular eukaryotes.     

Temporal proteomic analysis of IGF‐1R signalling in MCF‐7 breast adenocarcinoma cells

Dysregulation of the insulin‐like growth factor 1 receptor signalling network is implicated in tumour growth and resistance to chemotherapy. We explored proteomic changes resulting from insulin‐like growth factor 1 stimulation of MCF‐7 adenocarcinoma cells as a function of time. Quantitative analysis using iTRAQ? reagents and 2‐D LC‐MS/MS analysis of three biological replicates resulted in the identification of 899 proteins (p≤0.05) with an estimated mean false‐positive rate of 2.6%. Quantitative protein expression was obtained from 681 proteins. Further analysis by supervised k‐means clustering identified five temporal clusters, which were submitted to the FuncAssociate server to assign overrepresented gene ontology terms. Proteins associated with vesicle transport were significantly overrepresented. We further analyzed our data set for proteins showing temporal significance using the software, extraction and analysis of differential gene expression, resulting in 20 significantly and temporally changing proteins (p≤0.1). These significant proteins play roles in, among others, altered glucose metabolism (lactate dehydrogenase A and pyruvate kinase M1/M2) and cellular stress (nascent polypeptide‐associated complex subunit α and heat shock (HSC70) proteins). We used multiple reaction monitoring to validate these interesting proteins and have revealed several differences in relative peptide expression corresponding to protein isoforms and variants.     

Subproteome analysis of the neutrophil cytoskeleton

Neutrophils play a key role in the early host‐defense mechanisms due to their capacity to migrate into inflamed tissues and phagocytose microorganisms. The cytoskeleton has an essential role in these neutrophil functions, however, its composition is still poorly understood. We separately analyzed different cytoskeletal compartments: cytosolic skeleton, phagosome membrane skeleton, and plasma membrane skeleton. Using a proteomic approach, 138 nonredundant proteins were identified. Proteins not previously known to associate with the skeleton were: n‐acetylglucosamine kinase, phosphoglycerate mutase 1, prohibitin, ficolin‐1, phosphogluconate dehydrogenase, glucosidase, transketolase, major vault protein, valosin‐containing protein, aldehyde dehydrogenase, and lung cancer‐related protein‐8 (LCRP8). The majority of these proteins can be classified as energy metabolism enzymes. Such a finding was interesting because neutrophil energy metabolism is unusual, mainly relying on glycolysis. The enrichment of phosphoglycerate mutase in cytosolic skeleton was additionally indicated by the use of Western blotting. This is the broadest subcellular investigation to date of the neutrophil cytoskeletal proteome and the first proteomic analysis in any cell type of the phagosome skeleton. The association of metabolic enzymes with cytoskeleton is suggestive of the importance of their localized enrichment and macromolecular organization in neutrophils.     

An immunoaffinity purification method for the proteomic analysis of ubiquitinated protein complexes

Protein ubiquitination plays an important role in the regulation of many cellular processes, including protein degradation, cell cycle regulation, apoptosis, and DNA repair. To study the ubiquitin proteome we have established an immunoaffinity purification method for the proteomic analysis of endogenously ubiquitinated protein complexes. A strong, specific enrichment of ubiquitinated factors was achieved using the FK2 antibody bound to protein G-beaded agarose, which recognizes monoubiquitinated and polyubiquitinated conjugates. Mass spectrometric analysis of two FK2 immunoprecipitations (IPs) resulted in the identification of 296 FK2-specific proteins in both experiments. The isolation of ubiquitinated and ubiquitination-related proteins was confirmed by pathway analyses (using Ingenuity Pathway Analysis and Gene Ontology-annotation enrichment). Additionally, comparing the proteins that specifically came down in the FK2 IP with databases of ubiquitinated proteins showed that a high percentage of proteins in our enriched fraction was indeed ubiquitinated. Finally, assessment of protein–protein interactions revealed that significantly more FK2-specific proteins were residing in protein complexes than in random protein sets. This method, which is capable of isolating both endogenously ubiquitinated proteins and their interacting proteins, can be widely used for unraveling ubiquitin-mediated protein regulation in various cell systems and tissues when comparing different cellular states.     

iTRAQ‐based quantitative proteomic analysis gives insight into sexually different metabolic processes of poplars under nitrogen and phosphorus deficiencies

Male and female poplars (Populus cathayana Rehd.) respond differently to nitrogen (N) and phosphorus (P) deficiencies. In this study, an iTRAQ‐based quantitative proteomic analysis was performed. N and P deficiencies caused 189 and 144 proteins to change in abundance in males and 244 and 464 in females, respectively. Compared to N‐ and P‐deficient males, both N‐ and P‐deficient females showed a wider range of changes in proteins that are involved in amino acid, carbohydrate and protein metabolism, and the sexual differences were significant. When comparing the effects of N‐ and P‐deficiencies, N‐deficient females expressed more changes in proteins that are involved in stress responses and gene expression regulation, while P‐deficient females showed more changes in proteins that are involved in energy and lipid metabolism, stress responses and gene expression regulation. The quantitative RT‐PCR analysis of stress‐related proteins showed that males have a better expression correlation between mRNA and protein levels than do females. This study shows that P. cathayana females are more sensitive and have more rapid metabolic mechanisms when responding to N and P deficiencies than do males, and P deficiency has a wider range of effects on females than does N deficiency.     

Proteomic analysis of age-dependent changes in protein solubility identifies genes that modulate lifespan

While it is generally recognized that misfolding of specific proteins can cause late‐onset disease, the contribution of protein aggregation to the normal aging process is less well understood. To address this issue, a mass spectrometry‐based proteomic analysis was performed to identify proteins that adopt sodium dodecyl sulfate (SDS)‐insoluble conformations during aging in Caenorhabditis elegans. SDS‐insoluble proteins extracted from young and aged C. elegans were chemically labeled by isobaric tagging for relative and absolute quantification (iTRAQ) and identified by liquid chromatography and mass spectrometry. Two hundred and three proteins were identified as being significantly enriched in an SDS‐insoluble fraction in aged nematodes and were largely absent from a similar protein fraction in young nematodes. The SDS‐insoluble fraction in aged animals contains a diverse range of proteins including a large number of ribosomal proteins. Gene ontology analysis revealed highly significant enrichments for energy production and translation functions. Expression of genes encoding insoluble proteins observed in aged nematodes was knocked down using RNAi, and effects on lifespan were measured. 41% of genes tested were shown to extend lifespan after RNAi treatment, compared with 18% in a control group of genes. These data indicate that genes encoding proteins that become insoluble with age are enriched for modifiers of lifespan. This demonstrates that proteomic approaches can be used to identify genes that modify lifespan. Finally, these observations indicate that the accumulation of insoluble proteins with diverse functions may be a general feature of aging.     

Targeted tissue proteomic analysis of human astrocytomas

Complicating proteomic analysis of whole tissues is the obvious problem of cell heterogeneity in tissues, which often results in misleading or confusing molecular findings. Thus, the coupling of tissue microdissection for tumor cell enrichment with capillary isotachophoresis-based selective analyte concentration not only serves as a synergistic strategy to characterize low abundance proteins, but it can also be employed to conduct comparative proteomic studies of human astrocytomas. A set of fresh frozen brain biopsies were selectively microdissected to provide an enriched, high quality, and reproducible sample of tumor cells. Despite sharing many common proteins, there are significant differences in the protein expression level among different grades of astrocytomas. A large number of proteins, such as plasma membrane proteins EGFR and Erbb2, are up-regulated in glioblastoma. Besides facilitating the prioritization of follow-on biomarker selection and validation, comparative proteomics involving measurements in changes of pathways are expected to reveal the molecular relationships among different pathological grades of gliomas and potential molecular mechanisms that drive gliomagenesis.     

Identification and characterisation of differentially expressed leaf proteins among Vitis species

Grapes are commercially grown worldwide for fresh fruit and wine. They are mainly classified into bunch and muscadine grapes. These species differ in their sugar content and composition, photosynthetic efficiency and tolerance to abiotic and biotic stresses. Grape berry relies on carbohydrates produced during photosynthesis to support its development and composition. In view of the unique physiology and genetic make‐up of muscadine grape, a proteomics study was performed to increase our knowledge of Vitis leaf proteome in order to improve enological and disease tolerance characteristics of grape species. A high throughput two‐dimensional gel electrophoresis (2‐DE) was conducted on muscadine, bunch and hybrid bunch leaf proteins. The differentially expressed proteins were excised from 2‐DE gels, subjected to in‐gel trypsin digestion, and analysed in MALDI/TOF mass spectrometer. The mass spectra were collected and protein identification was performed by searching against Viridiplantae database using Matrix Science algorithm. Proteins were mapped to universal protein resource to study gene ontology. We have discovered >255 proteins with pIs between 3.5 and 8.0 and molecular weight between 12 and 100 kDa among the Vitis species. Comparative analysis of leaf proteome showed that 54 polypeptides varied qualitatively and quantitatively among the three Vitis species studied. Of these, seven proteins were unique to muscadine, two proteins were present in both muscadine and bunch, while 28 proteins were common to all the three species. Bioinformatic analysis of these proteins showed that they are involved in signal transduction pathway, transport of metabolites, energy metabolism, protein trafficking, photosynthesis and defence. We have also identified proteins unique to muscadine grape that are involved in defence and stress tolerance. In addition, photosynthesis‐related proteins were found to be more abundant in Vitis vinifera grape compared to other Vitis species.