Proteome Analysis of Diseased Joints from Mice Suffering from Collagen-Induced Arthritis

Distinct Ezrin Truncations Differentiate Metastases in Sentinel Lymph Nodes from Unaffected Lymph Node Tissues, from Primary Breast Tumors, and from Healthy Glandular Breast Tissues

BACKGROUND

Lymph node metastasis status is a prognostic factor for further lymph node involvement and for patient survival in breast cancer patients. Frozen section analysis of lymph nodes is a reliable method for detection of macro-metastases. However, this method is far less effective in detecting micro-metastases, requesting improved diagnostic procedures.

METHODS

We investigated expression and truncation of ezrin in (i) sentinel lymph node metastases, (ii) unaffected axillary lymph nodes, (iii) primary breast tumors, and (iv) healthy glandular breast tissues using 2D gel electrophoresis, SDS-PAGE, and mass spectrometry in addition to Western blotting.

RESULTS

Full-length ezrin (E1; amino acids 1-586) is present in all four investigated tissues. Two truncated ezrin forms, one missing about the first hundred amino acids (E2a) and the other lacking about 150 C-terminal amino acids (E2b) were detectable in primary tumor tissues and in sentinel lymph node metastases but not in glandular tissues. Strikingly, an ezrin truncation (E3) which consists approximately of amino acids 238-586 was found strongly expressed in all sentinel lymph node metastases. Moreover, an N-terminal ezrin fragment (E4) that consists approximately of amino acids 1-273 was identified in sentinel lymph node metastases as well.

CONCLUSIONS

We show for the first time the existence of tissue-dependent specific ezrin truncations. The distinguished strong Western blot staining of ezrin E3 in sentinel lymph node metastases underlines its capability to substantiate the occurrence of lymph node (micro)metastases in breast cancer patients.

The Proteome Profiles of the Cerebellum of Juvenile, Adult and Aged Rats--An Ontogenetic Study

In this study, we searched for proteins that change their expression in the cerebellum (Ce) of rats during ontogenesis. This study focuses on the question of whether specific proteins exist which are differentially expressed with regard to postnatal stages of development. A better characterization of the microenvironment and its development may result from these study findings. A differential two-dimensional polyacrylamide gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analysis of the samples revealed that the number of proteins of the functional classes differed depending on the developmental stages. Especially members of the functional classes of biosynthesis, regulatory proteins, chaperones and structural proteins show the highest differential expression within the analyzed stages of development. Therefore, members of these functional protein groups seem to be involved in the development and differentiation of the Ce within the analyzed development stages. In this study, changes in the expression of proteins in the Ce at different postnatal developmental stages (postnatal days (P) 7, 90, and 637) could be observed. At the same time, an identification of proteins which are involved in cell migration and differentiation was possible. Especially proteins involved in processes of the biosynthesis and regulation, the dynamic organization of the cytoskeleton as well as chaperones showed a high amount of differentially expressed proteins between the analyzed dates.

The proteome profiles of the olfactory bulb of juvenile, adult and aged rats - an ontogenetic study

Background

In this study, we searched for proteins that change their expression in the olfactory bulb (oB) of rats during ontogenesis. Up to now, protein expression differences in the developing animal are not fully understood. Our investigation focused on the question whether specific proteins exist which are only expressed during different development stages. This might lead to a better characterization of the microenvironment and to a better determination of factors and candidates that influence the differentiation of neuronal progenitor cells.

Results

After analyzing the samples by two-dimensional polyacrylamide gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), it could be shown that the number of expressed proteins differs depending on the developmental stages. Especially members of the functional classes, like proteins of biosynthesis, regulatory proteins and structural proteins, show the highest differential expression in the stages of development analyzed.

Conclusion

In this study, quantitative changes in the expression of proteins in the oB at different developmental stages (postnatal days (P) 7, 90 and 637) could be observed. Furthermore, the expression of many proteins was found at specific developmental stages. It was possible to identify these proteins which are involved in processes like support of cell migration and differentiation.

Electronic supplementary material

The online version of this article (doi:10.1186/s12953-014-0058-x) contains supplementary material, which is available to authorized users.

Quantitative proteomic analysis of synovial tissue from rats with collagen-induced arthritis

The pathway networks involved in RA pathological process were analyzed by Ingenuity pathway analysis (IPA).

Proteomics-based investigations of animal models of disease

Cells contain a large yet, constant genome, which contains all the coding information necessary to sustain cellular physiology. However, proteins are the end products of genes, and hence dictate the phenotype of cells and tissues. Therefore, proteomics can provide key information for the elucidation of physiological and pathophysiological mechanisms by identifying the protein profile from cells and tissues. The relatively novel techniques used for the study of proteomics thus have the potential to improve diagnostic, prognostic, as well as therapeutic avenues. In this review, we first discuss the benefits of animal models over the use of human samples for the proteomic analysis of human disease. Next, we aim to demonstrate the potential of proteomics in the elucidation of disease mechanisms that may not be possible by other conventional technologies. Following this, we describe the use of proteomics for the analysis of PTM and protein interactions in animal models and their relevance to the study of human disease. Finally, we discuss the development of clinical biomarkers for the early diagnosis of disease via proteomic analysis of animal models. We also discuss the development of standard proteomes and relate how this data will benefit future proteomic research. A comprehensive review of all animal models used in conjunction with proteomics is beyond the scope of this manuscript. Therefore, we aimed to cover a large breadth of topics, which together, demonstrate the potential of proteomics as a powerful tool in biomedical research.

Application for proteomic techniques in studying osteoarthritis: a review

After the genomic era, proteomic corresponds to a wide variety of techniques that study the protein content of cells, tissue, or organism and that allow the isolation of protein of interest. It offers the choice between gel-based and gel-free methods or shotgun proteomics. Applications of proteomic technology may concern three principal objectives in several biomedical or clinical domains of research as in osteoarthritis: (i) to understand the physiopathology or underlying mechanisms leading to a disease or associated with a particular model, (ii), to find disease-specific biomarker, and (iii) to identify new therapeutic targets. This review aimed at gathering most of the data regarding the proteomic techniques and their applications to osteoarthritis research. It also reported technical limitations and solutions, as for example for sample preparation. Proteomics open wide perspectives in biochemical research but many technical matters still remain to be solved.

Mass spectrometric characterization of protein structure details refines the proteome signature for invasive ductal breast carcinoma

Early diagnosis as well as individualized therapies are necessary to reduce the mortality of breast cancer, and personalized patient care strategies rely on novel prognostic or predictive factors. In this study, with six breast cancer patients, 2D gel analysis was applied for studying protein expression differences in order to distinguish invasive ductal breast carcinoma, the most frequent breast tumor subtype, from control samples. In total, 1203 protein spots were assembled in a 2D reference gel. Differentially abundant spots were subjected to peptide mass fingerprinting for protein identification. Twenty proteins with their corresponding 38 differentially expressed 2D gel spots were contained in our previously reported proteome signature, suggesting that distinct protein forms were contributing. In-depth MS/MS measurements enabled analyses of protein structure details of selected proteins. In protein spots that significantly contributed to our signature, we found that glyceraldehyde-3-phosphate dehydrogenase was N-terminally truncated, pyruvate kinase M2 and nucleoside diphosphate kinase A but not other isoforms of these proteins were of importance, and nucleophosmin phosphorylation at serine residues 106 and 125 were clearly identified. Principle component analysis and hierarchical clustering with normalized quantitative data from the 38 spots resulted in accurate separation of tumor from control samples. Thus, separation of tissue samples as in our initial proteome signature could be confirmed even with a different proteome analysis platform. In addition, detailed protein structure investigations enabled refining our proteome signature for invasive ductal breast carcinoma, opening the way to structure-/function studies with respect to disease processes and/or therapeutic intervention.

MS characterization of qualitative protein polymorphisms in the spinal cords of inbred mouse strains

The spinal cord proteomes of two inbred mouse strains with different susceptibility to experimental autoimmune encephalomyelitis (EAE), a mouse model of multiple sclerosis, were investigated by 2-DE and MALDI-MS. A proteome map comprising 304 different protein species was established. Using 2-D fluorescence difference gel electrophoresis, a comparison of the mouse strains revealed 26 qualitatively polymorphic proteins with altered electrophoretic mobility. MS analyses and DNA sequencing were applied to characterize their structural differences and 14 single amino acid substitutions were identified. Moreover, analysis of selectively enriched phosphopeptides from the neurofilament heavy polypeptide of both mouse strains revealed a high degree of diversity in the phosphorylated C-terminal domains of this protein. The described approach is capable to structurally characterize qualitative protein polymorphisms, whereas their functional significance remains to be elucidated. For some proteins formerly associated with experimental autoimmune encephalomyelitis and/or multiple sclerosis structural polymorphisms are described here, which may be subjected to further investigations. In addition, this work should be of general interest for proteomic analysis of inbred strains, because it shows potentials and constraints in the use of 2-DE analysis and MALDI-MS to detect and characterize structural protein polymorphisms.

Towards a proteome signature for invasive ductal breast carcinoma derived from label-free nanoscale LC-MS protein expression profiling of tumorous and glandular tissue

As more and more alternative treatments become available for breast carcinoma, there is a need to stratify patients and individual molecular information seems to be suitable for this purpose. In this study, we applied label-free protein quantitation by nanoscale LC-MS and investigated whether this approach could be used for defining a proteome signature for invasive ductal breast carcinoma. Tissue samples from healthy breast and tumor were collected from three patients. Protein identifications were based on LC-MS peptide fragmentation data which were obtained simultaneously to the quantitative information. Hereby, an invasive ductal breast carcinoma proteome signature was generated which contains 60 protein entries. The on-column concentrations for osteoinductive factor, vimentin, GAP-DH, and NDKA are provided as examples. These proteins represent distinctive gene ontology groups of differentially expressed proteins and are discussed as risk markers for primary tumor pathogenesis. The developed methodology has been found well applicable in a clinical environment in which standard operating procedures can be kept; a prerequisite for the definition of molecular parameter sets that shall be capable for stratification of patients.

Immunomodulatory effects of holothurian triterpene glycosides on mammalian splenocytes determined by mass spectrometric proteome analysis

Spleen is a prime organ in which immuno-stimulation takes place in mammalians. Proteome analysis was used to investigate the elicited effects on mouse splenocytes upon exposure to holothurian triterpene glycosides. Cucumarioside A(2)-2, and Frondoside A, respectively, have been used to in-vitro stimulate primary splenocyte cultures. Differential protein expression was monitored by 2D gel analysis and proteins in spots of interest were identified by MALDI ToF MS and nano LC-ESI Q-ToF MS/MS, respectively. Differential image analysis of gels from control vs. gels from stimulated primary splenocyte cultures showed that approximately thirty protein spots were differentially expressed. Prime examples of differentially expressed proteins are NSFL1 cofactor p47 and hnRNP K (down-regulated), as well as Septin-2, NADH dehydrogenase [ubiquinone] iron-sulfur protein 3, and GRB2-related adaptor protein 2 (up-regulated). Immuno-analytical assays confirmed differential protein expression. Together with results from proliferation and cell adhesion assays, our results show that cellular proliferation is stimulated by holothurian triterpene glycosides. In conclusion, holothurian triterpene glycosides are thought to express their immuno-stimulatory effects by enhancing the natural cellular defense barrier that is necessary to fight pathogens and for which lymphocytes and splenocytes have to be recruited constantly due to limited lifetimes of B-cells and T-cells in the body.

Proteomic analysis of the E2F1 response in p53-negative cancer cells: new aspects in the regulation of cell survival and death

E2F1 is an essential transcription factor that regulates cell-cycle progression and apoptosis. Overexpression of E2F1 sensitizes neoplastic cells to apoptosis and leads to tumor growth suppression, making it an interesting target for anticancer therapy. Use of E2F1 as a therapeutic, however, requires a detailed knowledge of the mechanisms by which it controls cellular proliferation and apoptosis, and of other potential E2F1 activities. In this study, a differential proteome analysis was performed to identify proteins associated with E2F1 activity in inducible p53-deficient Saos-2ERE2F1 osteosarcoma cells. 2-DE revealed a distinct protein profile at 32 h after E2F1 activation. Thirty-three proteins were reproducibly identified as either up-regulated or down-regulated. Proteins were identified by MALDI-MS. They included hitherto unknown E2F1 target proteins of cytoskeletal origin, chaperones, enzymes, proteasomal proteins, and several heterogeneous nuclear ribonucleoproteins, suggesting its role in the ER-stress response, protein degradation, and modulation of pre-mRNA splicing. Protein analysis-derived results were verified by Western blot using representative protein candidates. Thirteen identified proteins were the products of genes known to be cancer related. Thus, proteome analysis provides new information about the complexity of E2F1 activities in human cancer cells that may be considered when using E2F1 as a drug.

Rheumatoid arthritis, a complex multifactorial disease: on the way toward individualized medicine

With the availability of the human genome sequence and those of related species like chimpanzee, mouse, and rat, data driven research for tackling the molecular grounds of rheumatoid arthritis (RA), a multifactorial polygenic disease, can be considered a realistic challenge to the scientific community. A comprehensive research strategy is presented enabling the integration of multiple research efforts on studying autoimmunity by so called systems biology approaches. An integrative scientific concept is discussed of how to unravel molecular mechanisms of complex diseases by making use of state-of-the-art methodologies in functional and comparative genomics. A continuous interchange of data-driven and hypothesis-driven research is adjoined to determine the nature of rheumatic diseases with autoimmune background. Instead of studying single genes and proteins, RNA and protein microarray profiles are currently obtained in numerous research projects producing read-outs termed gene signatures rather than DNA and/or protein markers. A comprehensive study of the RNA, protein, and metabolite regimes is undertaken that eventually will lead to a "holistic" view of how all respective molecules, pathways and cells themselves interact with each other. Some of the above mentioned research aspects have already been studied by the authors, hopefully leading to new diagnostics and therapeutics in the future.

Differential proteome analysis of tonsils from children with chronic tonsillitis or with hyperplasia reveals disease-associated protein expression differences

A proteomic approach has been used to establish a proteome map and differentiate between the protein composition of tonsils from patients with chronic tonsillitis (CT) and that of tonsils with hyperplasia (HPL). Two-dimensional gel analysis was performed with material from four patients with HPL and five patients with CT. An average of approximately 600 spots were detected in each gel. A total of 127 different proteins were identified in 158 spots analyzed by mass spectrometry. Our study revealed disease-associated differences between protein abundance for two protein spots, an HSP27 isoform and UMP-CMP kinase. Both protein spots were more abundant in the CT group. HSP27 ELISA was performed for 32 patients, 12 belonging to the HPL group and 20 to the CT group. ELISA could not be used to differentiate HSP27 isoforms nor to distinguish CT from HPL. HSP27 was found to migrate to two further protein spots in the 2D gels. The differently expressed HSP27 isoform migrated as the most acidic of all the HSP27 isoforms detected, indicating the highest degree of phosphorylation. The sum of all three HSP27 abundances in the gels from the CT group was not different from that of the HPL group, consistent with the ELISA results. Our results suggest that phosphorylation differences caused the observed migration differences of HSP27. Together with the UMP-CMP kinase abundance differences, we conclude that kinase and/or phosphatase activity are different in CT and HPL.

[Research strategies towards a holistic characterization of rheumatoid arthritis--a systems biology approach]

Genome-wide screening methods used in functional genomics (genome, transcriptome, proteome and metabolom analysis) have increasingly been conducted in integrative research platforms to enable a comprehensive holistic characterization of multifactorial polygenic diseases. First results of this research strategy demonstrate that extended data sets are compiled whose quality is ensured by the application of standard operating procedures (SOPs) and the integration of specific laboratory information management systems (LIMS). Experimental data derived from this technology and methodology platform are obtained by applying standardized sampling procedures followed by comprehensive experimental validation and bioinformatic comparisons with the world knowledge publicly available. This research strategy should finally lead to a holistic understanding of the pathogenesis presented in rheumatoid arthritis by identifying disease-associated regulatory networks (pathways) and assigning them to cell populations involved in the disease mechanisms. In addition, it has to be investigated to what extent genetic as well as epigenetic factors direct disease initiation and progression in potential conjunction with environmental impacts (infections, smoking, etc.).

Rheumatology: a close encounter with proteomics

Proteomics is a fast-growing discipline in biomedicine that can be defined as the large-scale characterization of the entire protein complement of a cell, tissue or organism. Because protein levels and function may be critically dependent upon post-transcriptional mechanisms (e.g. post-translational modifications), there has been significant interest in directly examining protein structure and function. It is now clear that proteomics studies may unmask previously unknown functions of proteins or protein interactions. However, proteomics in the field of rheumatology is still in its infancy. This review guides the reader through the consecutive steps of a proteomics study and provides an outline of the applications in the field of rheumatology, which may range from proteome analyses of biological fluids of rheumatic diseases to identify possible new diagnostic tools, towards more pathophysiological studies on target tissues, such as synovial tissue or articular cartilage. Proteomics has great potential in the field of rheumatology and will no doubt have a great impact on our molecular understanding of these complex diseases.

4th meeting of the EU research network EUROME: from the identification of genes and cellular networks in murine models of arthritis to novel therapeutic intervention strategies in rheumatoid arthritis, London, UK, 9 March 2004

Rheumatoid arthritis (RA) is a common human disease with a prevalence of about 1% in most parts of the world. At the time of symptom onset it is difficult to predict the severity of subsequent disease course. After 2 years joint erosions are seen in most patients, and most patients become clinically disabled within 20 years. A recent meeting at the Kennedy Institute of Rheumatology (Imperial College, London) brought together representatives from several European centres of excellence, to discuss research funded by the EU Framework 5 Quality of Life Programme. This research network combines gene and protein expression profiling with different animal models of RA to identify cells, genes and pathways contributing to arthritis initiation, progression and chronicity. The studies discussed highlight the reality that collaboration between different research groups is the basis of groundbreaking research and, it is hoped, eventual new therapies for RA.

Proteome analysis reveals disease-associated marker proteins to differentiate RA patients from other inflammatory joint diseases with the potential to monitor anti-TNFα therapy

New experimental approaches of molecular medicine such as transcriptome and proteome analysis have been implemented in rheumatology research. Two-dimensional gel electrophoresis in combination with mass spectrometry was used to visualize and to identify proteins in synovial fluid (SF) and plasma samples from patients with rheumatoid arthritis (RA) and osteoarthritis (OA). The small calcium binding protein S100A9 (MRP14) was identified as a discriminatory marker protein in SF by global proteomic analysis. To confirm these results and to examine the reproducibility and the applicability as a diagnostic marker, levels of the S100A8 (MRP8)/A9 (MRP14) heterocomplex in plasma and in synovial fluid were validated from patients with RA, OA, and other inflammatory joint diseases using enzyme immunoassay techniques. It was found that plasma levels of the S100A8/A9 heterocomplex correlate well with levels in SF, and hence, determination of plasma levels can be used to distinguish RA patients from patients with other inflammatory joint diseases, as well as from OA patients and controls. Initial studies on RA patients also indicate that plasma levels of the S100A8/A9 heterocomplex are a useful marker in monitoring anti TNFalpha therapy.