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At least 1,153 records · Page 64Linked to original sources
PubMed2006

Clinically relevant oral cancer model for serum proteomic eavesdropping on the tumour microenvironment.

BACKGROUND: Serum proteomics has enormous potential in the identification of biomarkers and the development of new therapies for oral cancer. Current efforts are limited by the lack of a control subject. The human-mouse chimeric model offers a solution. OBJECTIVES: To develop and test two orthotopic xenograft mouse models of human oral squamous cell carcinoma for research in serum proteomics. METHODS: Advanced human oral cancer from three patients was implanted orthotopically into the tongues of 19 SCID and 4 RAG2/gamma(c) knockout (KO) mice. Adjacent normal tissue from each patient was also implanted into nine SCID and 4 RAG2/gamma(c) KO mice. The models were compared for tissue take, the presence of metastasis, and histologic invasiveness. Mouse serum was preserved for studies in serum proteomics. RESULTS: Tumour tissue was successfully implanted into SCID and RAG2/gamma(c) mice, and the invasiveness was confirmed pathologically. Three of the control mice demonstrated the persistence of normal tissue more than 1 month after implantation. This is the first time that this has been reported. The larger size of the RAG2/gamma(c) KO mouse facilitated serum collection for serum proteomics. CONCLUSIONS: Both RAG2/gamma(c) KO and SCID mouse are able to reliably engraft human oral cancer. Engraftment of normal oral tissue was less reliable. This is the first in vivo model allowing identification of proteins released from the tumour microenvironment.

Aged↗
PubMedDate not supplied

UV-induced melanoma cell lines and their potential for proteome analysis: a review.

We have established cell lines from benign cutaneous melanocytic lesions and from melanoma-affected lymph nodes of monodelphis domestica, the laboratory opossum (a South American marsupial now widely maintained in captive colonies for experimental purposes). Unlike melanoma cell lines currently available from humans and other mammals, the opossum lines are derived from cells transformed in vivo by experimentally controlled exposure to ultraviolet B (UVB) radiation of known spectral composition. Differences in the patterns of protein expression among cell lines at different stages of the UVB-induced melanoma cascade can be identified by proteome analysis and will provide a useful basis for comparisons with human and mouse melanoma cell lines. Powerful new two-dimensional (2D) gel electrophoresis technologies and sophisticated bioinformatics programs make it possible to carry out qualitative and quantitative analyses of the entire protein complement expressed by the genome (proteome) of a specific cell type. One area of biology particularly well suited to proteome analysis is carcinogenesis. It is now feasible, for example, to attempt to characterize the full repertoire of proteins, including all the antigenic determinants at the cell surface and in the cytosol, during the carcinogenic cascade from normal progenitor cells, to benign tumor cells, and finally, to highly invasive metastatic cells. Proteome analyses have been initiated with the cell lines from M. domestica.

Animals↗
PubMed2006

Cancer proteomics and its application to discovery of therapy response markers in human cancer.

The administration of chemotherapy either alone or in combination with radiotherapy is an important factor in reducing the mortality and morbidity of cancer patients. Resistance to both chemotherapy and radiotherapy represents a major obstacle to a successful outcome. The identification of novel biomarkers that can be used to predict treatment response would allow therapy to be tailored on an individual patient basis. Although the mechanisms are unclear, it is accepted that development of therapy resistance is a multifactorial phenomenon involving alterations in several cellular pathways. Proteome analysis methods are powerful tools for identifying factors associated with resistance to anticancer therapy because they facilitate the simultaneous analysis of whole proteomes. The current review describes the plethora of existing proteomic approaches and details the studies that have identified biomarkers that may be useful in the prediction of clinical response to anticancer therapy.

Biomarkers, Tumor↗
PubMedDate not supplied

Proteomic snapshot analyses of preribosomal ribonucleoprotein complexes formed at various stages of ribosome biogenesis in yeast and mammalian cells.

Proteomic technologies powered by advancements in mass spectrometry and bioinformatics and coupled with accumulated genome sequence data allow a comprehensive study of cell function through large-scale and systematic protein identifications of protein constituents of the cell and tissues, as well as of multi-protein complexes that carry out many cellular function in a higher-order network in the cell. One of the most extensively analyzed cellular functions by proteomics is the production of ribosome, the protein-synthesis machinery, in the nucle(ol)us--the main site of ribosome biogenesis. The use of tagged proteins as affinity bait, coupled with mass spectrometric identification, enabled us to isolate synthetic intermediates of ribosomes that might represent snapshots of nascent ribosomes at particular stages of ribosome biogenesis and to identify their constituents--some of which showed dynamic changes for association with the intermediates at various stages of ribosome biogenesis. In this review, in conjunction with the results from yeast cells, our proteomic approach to analyze ribosome biogenesis in mammalian cells is described.

Animals↗
PubMedDate not supplied

Proteomics and regulomics: the yin and yang of functional genomics.

Protein analysis is a field of research with a long history. Recently, the development of a series of proteomics approaches, i.e., simultaneous analyses on all or a majority of proteins in a cell at a given state, has reinvigorated protein analyses. Mass Spectrometry also developed into one of the most versatile technical tools supporting or even enabling many proteomics-oriented approaches, providing a convenient link between experimental protein analysis and the corresponding amino acid sequences. Thus direct links to the genomic sequence can be established, which opens the door for a synergistic combination with genomic sequence analysis. This review focuses especially on aspects of genome-wide transcription control, regulomics in analogy to all the other -omics, and how a combination of MS-based proteomics with in silico regulomics analyses can produce synergistic effects in the quest to understand how cells function. This is illustrated on a real life example showing how the MS-analysis and in silico promoter analysis can extend the list of candidates for signaling pathways, here the MAP kinase pathway.

Energy Metabolism↗
PubMedDate not supplied

Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Proteomics has recently demonstrated utility for increasing the understanding of cellular processes on the molecular level as a component of systems biology approaches and for identifying potential biomarkers of various disease states. The large amount of data generated by utilizing high efficiency (e.g., chromatographic) separations coupled with high mass accuracy mass spectrometry for high-throughput proteomics analyses presents challenges related to data processing, analysis, and display. This review focuses on recent advances in nanoLC-FTICR-MS-based proteomics approaches and the accompanying data processing tools that have been developed to display and interpret the large volumes of data being produced.

Animals↗
PubMedDate not supplied

Proteolytic 18O-labeling strategies for quantitative proteomics.

A number of proteomic techniques have been developed to quantify proteins in biological systems. This review focuses on the quantitative proteomic technique known as "proteolytic 18O-labeling." This technique utilizes a protease and H(2)18O to produce labeled peptides, with subsequent chromatographic and mass spectrometric analysis to identify and quantify (relative) the proteins from which the peptides originated. The technique determines the ratio of individual protein's expression level between two samples relative to each other, and can be used to quantitatively examine protein expression (comparative proteomics) and post-translational modifications, and to study protein-protein interactions. The present review discusses various aspects of the 18O-labeling technique, including: its history, the advantages and disadvantages of the proteolytic 18O-labeling technique compared to other techniques, enzymatic considerations, the problem of variable incorporation of 18O atoms into peptides with a discussion on recent advancements of the technique to overcome it, computational tools to interpret the data, and a review of the biological applications.

Gene Expression Profiling↗
PubMed2024

Mass Spectrometry-Based Proteomics for Assessing Epitranscriptomic Regulations.

Epitranscriptomics is a rapidly evolving field that explores chemical modifications in RNA and how they contribute to dynamic and reversible regulations of gene expression. These modifications, for example, N6-methyladenosine (m6A), are crucial in various RNA metabolic processes, including splicing, stability, subcellular localization, and translation efficiency of mRNAs. Mass spectrometry-based proteomics has become an indispensable tool in unraveling the complexities of epitranscriptomics, offering high-throughput, precise protein identification, and accurate quantification of differential protein expression. Over the past two decades, advances in mass spectrometry, including the improvement of high-resolution mass spectrometers and innovative sample preparation methods, have allowed researchers to perform in-depth analyses of epitranscriptomic regulations. This review focuses on the applications of bottom-up proteomics in the field of epitranscriptomics, particularly in identifying and quantifying epitranscriptomic reader, writer, and eraser (RWE) proteins and in characterizing their functions, posttranslational modifications, and interactions with other proteins. Together, by leveraging modern proteomics, researchers can gain deep insights into the intricate regulatory networks of RNA modifications, advancing fundamental biology, and fostering potential therapeutic applications.

Proteomics↗
PubMed2026

Sex-Specific Renal Proteomic Responses to Mycotoxins and Their Mitigation by Bioactive Food Ingredients.

This study aimed to evaluate sex-related differences in kidney toxicity induced by aflatoxin B1 (AFB1) and ochratoxin A (OTA), administered either individually or in combination, and to investigate the mitigating potential of fermented whey (FW) and pumpkin (P) using a proteomic approach in a sub-chronic rat model. Diets naturally contaminated with AFB1 and OTA fungal producers, or enriched with FW and P, were administered to 120 Wistar rats for 28 days. Afterwards, kidneys were collected and subjected to protein extraction and digestion to peptides. For proteomic analysis, peptides were separated using an LC-QTOF-MS system, and differentially expressed proteins between control and treated groups were statistically filtered (p&#xa0;<&#xa0;0.05) to distinguish sex-related differences between males and females. Proteomic analysis revealed that non-supplemented diets induced significant protein alterations, with male kidneys showing greater sensitivity to mycotoxin exposure, particularly to OTA, and exhibiting a distinct expression pattern compared with females. Notably, FW and FW&#xa0;+&#xa0;P supplementation mitigated these adverse effects by reducing the number of differentially expressed proteins, stabilizing mitochondrial function, and enhancing xenobiotic metabolism pathways. These findings underscore the importance of sex-specific factors in evaluating the protective potential of bioactive ingredients against mycotoxin-induced renal injury.

Animals↗
PubMed2003

An approach to the proteomic analysis of a breast cancer cell line (SKBR-3).

This report describes the profiling of proteins in a sample prepared by laser capture microdissection (LCM) from a breast cancer cell line (SKBR-3). This experimental approach serves as a model system for proteomic studies on selected tissue samples and for studies of specific cell types. The captured cells were isolated in a dehydrated and reduced state and solubilized with a denaturing buffer. After dilution the protein mixture was digested with trypsin and the resulting peptide mixture was fractionated by reversed phase HPLC (RPLC) and analyzed on an ion trap mass spectrometer. A key part of this study is the combination of the LCM process with an extraction/digestion procedure that allowed effective solubilization of a significant part of the cellular sample in a single step. The identity of the peptides was determined by tandem mass spectrometry measurements in which the resulting spectra were compared with genomic and proteomic databases and protein identifications were made. While only peptides with a high probability assignment were used, the interpretation of mass spectral fragmentation patterns were also confirmed by manual interpretation of the spectra. Also, for the more abundant proteins the initial protein assignment from the best match peptide was strengthened by the observation of additional confirmatory peptide identifications. Another selection criteria was correlation of the mass spectrometric studies with clinical and genomic studies of potential cancer markers in tumor samples. This proteomic study allowed identification of the following proteins: human receptor protein kinase HER-2 or ERBB-2 and related kinases HER-3 and HER-4, the gene products from breast cancer type I and II susceptibility genes and cytoskeletal components such as cytokeratins 8, 18 and 19. Other proteins include fibroblast growth factor receptor variants (FGFR-2&4) and T-lymphoma invasion and metastasis inducing protein 1 (TIAM1). In addition several nonreceptor protein kinases YES, FAK and JAK-1 and 3 were identified. Since the study was performed on a limited number of cells (approximately 10,000) it raises the possibility of such studies being performed on individual patient samples prepared by needle biopsy.

Biomarkers, Tumor↗
PubMed2003

Proteome analysis of male gametophyte development in rice anthers.

We used proteomic analysis to investigate the changing patterns of protein synthesis during pollen development in anthers from rice plants grown under strictly controlled growth conditions. Cytological analysis and external growth measurements such as anther length, auricle distances and days before flowering were used to determine pollen developmental stages. This allowed the collection of synchronous anther materials representing six discrete pollen developmental stages. Proteins were extracted from the anther samples and separated by two-dimensional gel electrophoresis to produce proteome maps. The anther proteome maps of different developmental stages were compared and 150 protein spots, which were changed consistently during development, were analysed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry to produce peptide mass fingerprint (PMF) data. Database searches using these PMF data revealed the identities of 40 of the protein spots analyzed. These 40 proteins represent 33 unique gene products. Four protein spots that could not be identified by PMF analysis were analysed by N-terminal microsequencing. Multiple charge-isoforms of vacuolar acid invertase, fructokinase, beta-expansin and profilin were identified. These proteins are closely associated with sugar metabolism, cell elongation and cell expansion, all of which are cell activities that are essential to pollen germination. The existence of multiple isoforms of the same proteins suggests that during the process of pollen development some kind of post-translational modification of these proteins occurs.

Amino Acid Sequence↗
PubMed2004

In vivo uniform (15)N-isotope labelling of plants: using the greenhouse for structural proteomics.

Isotope labelling of proteins is important for progress in the field of structural proteomics. It enables the utilisation of the power of nuclear magnetic resonance spectroscopy (NMR) for the characterisation of the three-dimensional structures and corresponding dynamical features of proteins. The usual approach to obtain isotopically labelled protein molecules is by expressing the corresponding gene in bacterial or yeast host organisms, which grow on isotope-enriched media. This method has several drawbacks. Here, we demonstrate that it is possible to fully label a plant with (15)N-isotopes. The advantage of in vivo labelling of higher organisms is that all constituting proteins are labelled and become available as functional, post-translationally modified, correctly folded proteins. A hydroponics set-up was used to create the first example of a uniformly (15)N-labelled (> 98%) plant species, the potato plant (Solanum tuberosum L., cv. Elkana). Two plants were grown at low costs using potassium-[(15)N]-nitrate as the sole nitrogen source. At harvest time, a total of 3.6 kg of potato tubers and 1.6 kg of foliage, stolons and roots were collected, all of which were fully (15)N-labelled. Gram quantities of soluble (15)N-labelled proteins (composed mainly of the glycoprotein patatin and Kunitz-type protease inhibitors) were isolated from the tubers. NMR results on the complete proteome of potato sap and on an isolated protease inhibitor illustrate the success of the labelling procedure. The presented method of isotope labelling is easily modified to label other plants. Its envisioned impact in the field of structural proteomics of plants is discussed.

Carbon Isotopes↗
PubMed2003

Overcoming technical variation and biological variation in quantitative proteomics.

Quantitative proteomics investigates physiology at the molecular level by measuring relative differences in protein expression between samples under different experimental conditions. A major obstacle to reliably determining quantitative changes in protein expression is to overcome error imposed by technical variation and biological variation. In drug discovery and development the issue of biological variation often rises in concordance with the developmental stage of research, spanning from in vitro assays to clinical trials. In this paper we present case studies to raise awareness to the issues of technical variation and biological variation and the impact this places on applying quantitative proteomics. We defined the degree of technical variation from the process of two-dimensional electrophoresis as 20-30% coefficient of variation. On the other hand, biological variation observed experiment-to-experiment showed a broader degree of variation depending upon the sample type. This was demonstrated with case studies where variation was monitored across experiments with bacteria, established cell lines, primary cultures, and with drug treated human subjects. We discuss technical variation and biological variation as key factors to consider during experimental design, and offer insight into preparing experiments that overcome this challenge to provide statistically significant outcomes for conducting quantitative proteomic research.

Animals↗
PubMed2003

High-throughput proteomic analysis of human infiltrating ductal carcinoma of the breast.

Large-scale proteomics will play a critical role in the rapid display, identification and validation of new protein targets, and elucidation of the underlying molecular events that are associated with disease development, progression and severity. However, because the proteome of most organisms are significantly more complex than the genome, the comprehensive analysis of protein expression changes will require an analytical effort beyond the capacity of standard laboratory equipment. We describe the first high-throughput proteomic analysis of human breast infiltrating ductal carcinoma (IDCA) using OCT (optimal cutting temperature) embedded biopsies, two-dimensional difference gel electrophoresis (2-D DIGE) technology and a fully automated spot handling workstation. Total proteins from four breast IDCAs (Stage I, IIA, IIB and IIIA) were individually compared to protein from non-neoplastic tissue obtained from a female donor with no personal or family history of breast cancer. We detected differences in protein abundance that ranged from 14.8% in stage I IDCA versus normal, to 30.6% in stage IIB IDCA versus normal. A total of 524 proteins that showed > or = three-fold difference in abundance between IDCA and normal tissue were picked, processed and identified by mass spectrometry. Out of the proteins picked, approximately 80% were unambiguously assigned identities by matrix-assisted laser desorbtion/ionization-time of flight mass spectrometry or liquid chromatography-tandem mass spectrometry in the first pass. Bioinformatics tools were also used to mine databases to determine if the identified proteins are involved in important pathways and/or interact with other proteins. Gelsolin, vinculin, lumican, alpha-1-antitrypsin, heat shock protein-60, cytokeratin-18, transferrin, enolase-1 and beta-actin, showed differential abundance between IDCA and normal tissue, but the trend was not consistent in all samples. Out of the proteins with database hits, only heat shock protein-70 (more abundant) and peroxiredoxin-2 (less abundant) displayed the same trend in all the IDCAs examined. This preliminary study demonstrates quantitative and qualitative differences in protein abundance between breast IDCAs and reveals 2-D DIGE portraits that may be a reflection of the histological and pathological status of breast IDCA.

Adult↗
PubMed2003

Profiling of the cell surface proteome.

The in depth-mining of the proteome necessitates the comprehensive analysis of proteins in individual subcellular compartments to uncover interesting patterns of protein expression that include assessment of protein location, trafficking and of post-translational modifications that are location specific. One of the compartments of substantial interest from a diagnostic and therapeutic point of view is the plasma membrane which contains intrinsic membrane proteins and other proteins expressed on the cell surface. Technologies are currently available for the comprehensive profiling of the cell surface proteome that rely on protein tagging of intact cells. Studies are emerging that point to unexpected patterns of expression of specific proteins on the cell surface, with a common occurrence of proteins previously considered to occur predominantly in other compartments, notably the endoplasmic reticulum. The profiling of the cell surface and plasma membrane proteomes will likely provide novel insights and uncover disease related alterations.

ADP-ribosyl Cyclase↗
PubMed2004

Proteomic analysis of lymph.

This report provides the first proteomic analysis of normal ovine lymph. By establishing the fact that lymph is more than an ultrafiltrate of blood plasma, it documents that the lymph proteome contains an array of proteins that differentiates it from plasma. The protein chip technology, surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS), two-dimensional gel electrophoresis (2-D PAGE) and MS, were employed to examine the protein expression profiles of ovine lymph. Using a weak cation exchange chip surface to assay lymph and plasma samples by SELDI-TOF-MS showed that the analysis of peak maps from lymph contained three protein peaks that were found only in lymph, while analysis of peak maps from plasma samples showed that five protein peaks were found only in plasma. Lymph and plasma samples showed eight peaks that were common to both. There were also more ions present in plasma than in lymph, which is consistent with the 2-D PAGE analysis. MS analysis of a large number of protein spots from 2-D PAGE gels of lymph produced MS/MS sequences for 18 proteins that were identified by searching against a comprehensive protein sequence database. As in plasma, large protein spots of albumin dominated the protein pattern in lymph. Other major proteins identified in 2-D PAGE gels of lymph included, fibrinogen alpha- and beta-chains, immunoglobulin G (IgG) heavy chain, serotransferrin precursor, lactoferrin, and apolipoprotein A-1. Two proteins that were identified and were differentially expressed in lymph were glial fibrillary astrocyte acidic protein and neutrophil cytosol factor-1. By bringing the technologies of proteomics to bear on the analysis of lymph, it is possible to detect proteins in lymph that are quantitatively and qualitatively differentially expressed from those of plasma.

Animals↗
PubMed2004

Comparative proteome analysis of Hansenula polymorpha DL1 and A16.

Proteomic responses of methylotrophic yeasts (Hansenula polymorpha DL1 and A16) to growth medium tuning by carbon source shift (glycerol-->methanol) were monitored and analyzed by two-dimensional gel electrophoresis. Through comparative analyses of two-dimensional gels, intracellular yeast proteins with complex expression patterns were systematically sorted into: (1) proteins that are commonly expressed with comparable high abundance in both strains; (2) strain-specific proteins that are expressed at high level only in a particular strain; (3) strain-specific and methanol-induced proteins that are expressed only in the presence of methanol; and (4) strain-specific and constitutively-expressed proteins that are expressed consistently irrespective of carbon source shift without extreme change in expression level. Among the DL1-specific proteins belonging to group four, the four proteins showing the highest expression levels in the course of the fermentation process were identified as: glucose-6-phosphate dehydrogenase, isocitrate lyase, succinyl-CoA synthetase, and glycerol-3-phosphate dehydrogenase. From these results, it is suggested that DL1 has distinct metabolic characteristics including enhanced metabolic activities both in glycerol uptake and the glyoxylate bypass cycle, as compared to A16. This is likely to explain why the DL1 strain shows a significantly higher rate of glycerol and methanol consumption during the fermentation process. Our systematic approach to the analysis of proteomic responses and the detailed analysis results reported here will be useful to better understand the global physiology of H. polymorpha, as proteome databases for various methylotrophic yeasts are established.

Carbon↗
PubMed2004

Evaluation of an integrated strategy for proteomic profiling of skeletal muscle.

Proteomic analysis of skeletal muscle presents particular challenges when trying to identify valid biomarkers of phenotypic change in small biopsies from genetically diverse human subjects. Currently, two-dimensional (2-D) gel electrophoresis and mass spectrometry are the chosen analytical strategies but 2-D gels are not appropriate for analyzing proteins less than 11 kDa, they can suffer from problems of reproducibility and in routine use are not a viable high-throughput technique. We have evaluated an integrated proteomic strategy employing Ciphergen ProteinChip arrays, one-dimensional polyacrylamide gel electrophoresis and mass spectrometry. Protein fingerprints characteristic of fast and slow contracting muscles from normal and kyphoscoliosis (ky) mutant mice were obtained from Ciphergen protein arrays. Eight statistically validated protein biomarkers have so far been identified capable of discriminating fast from slow muscle. Five of these showed further differential expression in ky versus normal BDL soleus muscles. Several biomarkers have been formally identified, and were myosin light chain isoforms shown previously to be expressed differentially by fast versus slow skeletal muscles. This integrated experimental approach using a model mouse muscle system shows the potential of Ciphergen protein array technology for proteomic analysis of small proteins in small muscle samples and its applicability for phenotypic characterization of skeletal muscle in general.

Animals↗