Discordant protein and mRNA expression in lung adenocarcinomas

Toxicogenomics in drug development

Toxicogenomics represents the merging of toxicology with technologies that have been developed, together with bioinformatics, to identify and quantify global gene expression changes. It represents a new paradigm in drug development and risk assessment, which promises to generate a wealth of information towards an increased understanding of the molecular mechanisms that lead to drug toxicity and efficacy, and of DNA polymorphisms responsible for individual susceptibility to toxicity. Gene expression profiling, through the use of DNA microarray and proteomic technologies will aid in establishing links between expression profiles, mode of action and traditional toxic endpoints. Such patterns of gene expression, or 'molecular fingerprints' could be used as diagnostic or predictive markers of exposure, that is characteristic of a specific mechanism of induction of that toxic or efficacious effect. It is anticipated that toxicogenomics will be increasingly integrated into all phases of the drug development process particularly in mechanistic and predictive toxicology, and biomarker discovery. This review provides an overview of the expression profiling technologies applied in toxicogenomics. and discusses the promises as well as the future challenges of applying this discipline to the drug development process.

A proteomic approach to the identification of cytochrome P450 isoforms in male and female rat liver by nanoscale liquid chromatography-electrospray ionization-tandem mass spectrometry

Nanoscale reversed-phase liquid chromatography (LC) combined with electrospray ionization-tandem mass spectrometry (ESI-MS/MS) has been used as a method for the direct identification of multiple cytochrome P450 (P450) isoforms found in male and female rat liver. In this targeted proteomic approach, rat liver microsomes were subjected to sodium dodecyl sulfate-polyacrylamide gel electrophoresis followed by in-gel tryptic digestion of the proteins present in the 48- to 62-kDa bands. The resultant peptides were extracted and analyzed by LC-ESI-MS/MS. P450 identifications were made by searching the MS/MS data against a rat protein database containing 21,576 entries including 47 P450s using Sequest software (Thermo Electron, Hemel Hempstead, UK). Twenty-four P450 isoforms from the subfamilies 1A, 2A, 2B, 2C, 2D, 2E, 3A, 4A, 4F, CYP17, and CYP19 were positively identified in rat liver.

Expression and functional proteomics studies in colorectal cancer

Cell dysfunction results from multiple rather than from single gene interactions in the majority of colorectal cancers (CRC). Proteins, not mRNA, are the functional molecules in the cell, and the relationship between gene expression measured at the mRNA level and the corresponding protein level is not linear. Current proteomics tools allow for the determination of post-translational modifications, and hence the presence of protein isoforms--some of them being disease-relevant. Thus, proteomics approaches are a welcome complement to traditional genetic approaches. In CRC, expression proteomics studies were carried out with colorectal cell lines, whole tissue biopsies, and purified epithelial cells. For CRC, two-dimensional electrophoresis reference maps, protein, and membrane protein databases are available on the internet. Functional proteomics studies have been performed to better understand signaling pathways, to characterize the molecular targets of novel drugs, and to identify tumor-associated antigens in CRC. The increasing use of proteomics technologies, when addressing clinical problems, will accelerate the evolution towards personalized medicine in CRC.

Cellular responses to ErbB-2 overexpression in human mammary luminal epithelial cells: comparison of mRNA and protein expression

Microarray analysis offers a powerful tool for studying the mechanisms of cellular transformation, although the correlation between mRNA and protein expression is largely unknown. In this study, a microarray analysis was performed to compare transcription in response to overexpression of the ErbB-2 receptor tyrosine kinase in a model mammary luminal epithelial cell system, and in response to the ErbB-specific growth factor heregulin β1. We sought to validate mRNA changes by monitoring changes at the protein level using a parallel proteomics strategy, and report a surprisingly high correlation between transcription and translation for the subset of genes studied. We further characterised the identified targets and relate differential expression to changes in the biological properties of ErbB-2-overexpressing cells. We found differential regulation of several key cell cycle modulators, including cyclin D2, and downregulation of a large number of interferon-inducible genes, consistent with increased proliferation of the ErbB-2-overexpressing cells. Furthermore, differential expression of genes involved in extracellular matrix modelling and cellular adhesion was linked to altered adhesion of these cells. Finally, we provide evidence for enhanced autocrine activation of MAPK signalling and the AP-1 transcription complex. Together, we have identified changes that are likely to drive proliferation and anchorage-independent growth of ErbB-2- overexpressing cancer cells.

Simultaneous Quantification of Human Cardiac α- and β-Myosin Heavy Chain Proteins by MALDI-TOF Mass Spectrometry

We have developed a novel method for quantifying protein isoforms, in both relative and absolute terms, based on MALDI-TOF mass spectrometry. The utility of the approach is demonstrated by quantifying the alpha and beta protein isoforms of myosin heavy chain (MyHC) in human atrial tissue. Alpha-MyHC (726-741) and beta-MyHC (724-739) were identified as isoform-specific tryptic peptides. A calibration curve was constructed by plotting ion current ratios against molar ratios of the two peptides prepared synthetically. MyHC was digested by trypsin and the ion current ratio determined for the two tryptic peptides. The ion current ratio was converted to the peptide ratio and hence the isoform ratio by reference to the standard curve. The accuracy of the method was confirmed by a comparison between these results and those determined by an established method of MyHC isoform ratio determination. So that the molar ratio could be converted to absolute values, a third peptide, an analogue of the two peptides being measured, was synthesized for use as an internal standard (IS). The measured ion current ratios of synthetic alpha-MyHC (726-741), beta-MyHC (724-739), and IS peptides were used to generate standard curves. A known quantity of the IS was added to the MyHC digests. The measured ion current ratios were converted to the actual quantities of the isoform-specific peptides and hence the actual quantity of each protein isoform by reference to the standard curves. This method is of general applicability, especially when isoform quantification is required.

Fluorogenic Derivatization Reagents Suitable for Isolation and Identification of Cysteine-Containing Proteins Utilizing High-Performance Liquid Chromatography−Tandem Mass Spectrometry

The fluorogenic derivatization reagents with a positive charge, 4-(dimethylaminoethylaminosulfonyl)-7-chloro-2,1,3-benzoxadiazole (DAABD-Cl) and 7-chloro-2,1,3-benzoxadiazole-4-sulfonylaminoethyltrimethylammonium chloride (TAABD-Cl), are proposed for use in proteomics studies. Following derivatization of protein mixtures with these reagents, a series of standard processes of isolation, digestion, and identification of the proteins were performed utilizing high-performance liquid chromatography-fluorescence detection and tandem mass spectrometry with the probability-based protein identification algorithm. Both DAABD and TAABD derivatives were detected fluorometrically at the femtomole level and showed more than 100-fold improvement in sensitivity compared to the underivatized original compounds with an electrospray ionization ion trap mass spectrometer analysis. The modification of the MASCOT database search system memorized with the fragment information of a DAABD-attached Cys residue allowed the identification of the proteolytic peptide fragments of the derivatized bovine serum albumin (BSA) with an estimated 38% sequence coverage of BSA. Utilizing DAABD-Cl as a derivatization reagent, identification of several proteins was also possible in a soluble extract of Caenorhabditis elegans (10 microg of protein). Consequently, for identification of proteins in the complex matrixes of proteins, DAABD-Cl could be a more appropriate reagent than ammonium 7-fluoro-2,1,3-benzoxadiazole-4-sulfonate as reported previously.

Altered gene expression in acute systemic inflammation detected by complete coverage of the human liver transcriptome

The goal of the current study was to provide complete coverage of the liver transcriptome with human probes corresponding to every gene expressed in embryonic, adult, and/or cancerous liver. We developed dedicated tools, namely, the Liverpool nylon array of complementary DNA (cDNA) probes for approximately 10,000 nonredundant genes and the LiverTools database. Inflammation-induced transcriptome changes were studied in liver tissue samples from patients with an acute systemic inflammation and from control subjects. One hundred and fifty-four messenger RNAs (mRNA) correlated statistically with the extent of inflammation. Of these, 134 mRNA samples were not associated previously with an acute-phase (AP) response. The hepatocyte origin and proinflammatory cytokine responsiveness of these mRNAs were confirmed by quantitative reverse-transcription polymerase chain reaction (Q-RT-PCR) in cytokine-challenged hepatoma cells. The corresponding gene promoters were enriched in potential binding sites for inflammation-driven transcription factors in the liver. Some of the corresponding proteins may provide novel blood markers of clinical relevance. The mRNAs whose level is most correlated with the AP extent (P <.05) were enriched in intracellular signaling molecules, transcription factors, glycosylation enzymes, and up-regulated plasma proteins. In conclusion, the hepatocyte responded to the AP extent by fine tuning some mRNA levels, controlling most, if not all, intracellular events from early signaling to the final secretion of proteins involved in innate immunity. Supplementary material for this article can be found on the HEPATOLOGY website (http://interscience.wiley.com/jpages/0270-9139/suppmat/index.html).

Epidermal and Hair Follicle Progenitor Cells Express Melanoma-Associated Chondroitin Sulfate Proteoglycan Core Protein

Basal keratinocytes in the epidermis and hair follicle are biologically heterogeneous but must include a stable subpopulation of epidermal stem cells. In animal models these can be identified by their retention of radioactive label due to their slow cycle (label-retaining cells) but human studies largely depend on in vitro characterization of colony forming efficiency and clonogenicity. Differential integrin expression has been used to detect cells of increased proliferative potential but further stem cell markers are urgently required for in vivo and in vitro characterization. Using LHM2, a monoclonal antibody reacting with a high molecular weight melanoma-associated proteoglycan core protein, a subset of basal keratinocytes in both the interfollicular epidermis and the hair follicle has been identified. Coexpression of melanoma-associated chondroitin sulfate proteoglycan with keratins 15 and 19 as well as beta 1 and alpha 6 integrins has been examined in adult and fetal human skin from hair bearing, nonhair bearing, and palmoplantar regions. Although melanoma-associated chondroitin sulfate proteoglycan coexpression with a subset of beta 1 integrin bright basal keratinocytes within the epidermis suggests that melanoma-associated chondroitin sulfate proteoglycan colocalizes with epidermal stem cells, melanoma-associated chondroitin sulfate proteoglycan expression within the hair follicle was more complex and multiple subpopulations of basal outer root sheath keratinocytes are described. These data suggest that epithelial compartmentalization of the outer root sheath is more complex than interfollicular epidermis and further supports the hypothesis that more than one hair follicle stem cell compartment may exist.

Genome-Scale Analysis of Lung Cancer Progression

Among cancers, lung cancer is the single biggest killer in the US. It is estimated that lung cancer was responsible for 171900 newly diagnosed cases of cancer in the US in 2003, and for 157200 deaths. Over many years, however, there has been little improvement in the clinical outcome of lung cancer, and any improvement in the incidence or mortality from lung cancer can largely be attributed to smoking cessation and not to the success of therapy. The histopathology of lung cancer reveals that it is a disease with many faces. Lung cancer is often nonresponsive to traditional therapy, leaving few, if any, alternatives in the management of the advanced stages of the disease. The molecular pathogenesis of lung cancer, only recently illuminated, involves numerous molecular and cell biological changes revealing a very complex disease progression. Large-scale mRNA expression analysis has been recently used to classify lung cancers molecularly. These techniques have been used successfully to differentiate lung cancer histotypes based on patterns of genes expressed. The use of protein analysis to this end has also been attempted, with limited correlation with RNA experiments. This likely reflects the limited sensitivity of the technologies and complex, poorly understood post-synthesis protein modifications. In any event, there have been great strides made in understanding the nature of lung cancer from a molecular perspective; these effects represent a great advancement in the diagnosis and prognosis of lung cancer. Moreover, these advances may lead to the improvement of patient survival by guiding the choice of more efficacious therapy.

Integration of proteomics and genomics in platelets: a profile of platelet proteins and platelet-specific genes

Platelets, while anucleate, contain RNA, some of which is translated into protein upon activation. Hypothesising that the platelet proteome is reflected in the transcriptome, we identified 82 proteins secreted from activated platelets and compared these, as well as published proteomic data, to the transcriptional profile. We also compared the transcriptome of platelets to other tissues to identify platelet-specific genes and used ontology to determine gene categories over-represented in platelets. RNA was isolated from highly pure platelet preparations for hybridization to Affymetrix oligonucleotide arrays. We identified 2,928 distinct messages as being present in platelets. The platelet transcriptome was compared with the proteome by relating both to UniGene clusters. Platelet proteomic data correlated well with the transcriptome, with 69% of secreted proteins detectable at the mRNA level, and similar concordance was obtained using two published datasets. While many of the most abundant mRNAs are for known platelet proteins, messages were detected for proteins not previously reported in platelets. Some of these may represent residual megakaryocyte messages; however, proteomic analysis confirmed the expression of many previously unreported genes in platelets. Transcripts for well-described platelet proteins are among the most platelet-specific messages. Ontological categories related to signal transduction, receptors, ion channels, and membranes are over-represented in platelets, while categories involved in protein synthesis are depleted. Despite the absence of gene transcription, the platelet proteome is mirrored in the transcriptome. Conversely, transcriptional analysis predicts the presence of novel proteins in the platelet. Transcriptional analysis is relevant to platelet biology, providing insights into platelet function and the mechanisms of platelet disorders.

Protein profiles associated with survival in lung adenocarcinoma

Morphologic assessment of lung tumors is informative but insufficient to adequately predict patient outcome. We previously identified transcriptional profiles that predict patient survival, and here we identify proteins associated with patient survival in lung adenocarcinoma. A total of 682 individual protein spots were quantified in 90 lung adenocarcinomas by using quantitative two-dimensional polyacrylamide gel electrophoresis analysis. A leave-one-out cross-validation procedure using the top 20 survival-associated proteins identified by Cox modeling indicated that protein profiles as a whole can predict survival in stage I tumor patients (P = 0.01). Thirty-three of 46 survival-associated proteins were identified by using mass spectrometry. Expression of 12 candidate proteins was confirmed as tumor-derived with immunohistochemical analysis and tissue microarrays. Oligonucleotide microarray results from both the same tumors and from an independent study showed mRNAs associated with survival for 11 of 27 encoded genes. Combined analysis of protein and mRNA data revealed 11 components of the glycolysis pathway as associated with poor survival. Among these candidates, phosphoglycerate kinase 1 was associated with survival in the protein study, in both mRNA studies and in an independent validation set of 117 adenocarcinomas and squamous lung tumors using tissue microarrays. Elevated levels of phosphoglycerate kinase 1 in the serum were also significantly correlated with poor outcome in a validation set of 107 patients with lung adenocarcinomas using ELISA analysis. These studies identify new prognostic biomarkers and indicate that protein expression profiles can predict the outcome of patients with early-stage lung cancer.

Protein Profiling with Cleavable Isotope-coded Affinity Tag (cICAT) Reagents

Protein expression profiles in yeast cells, in response to salinity stress, were determined using the cleavable isotope-coded affinity tag (cICAT) labeling strategy. The analysis included separation of the mixed protein samples by SDS-PAGE, followed by excision of the entire gel lane, and division of the lane into 14 gel regions. Regions were subjected to in-gel digestion, biotin affinity chromatography, and analysis by nano-scale microcapillary liquid chromatography coupled to tandem mass spectrometry. The novel (13)C-labeled ICAT reagents have identical elution profiles for labeled peptide pairs and broadly spread the distribution of labeled peptides during reversed-phase chromatography. A total of 560 proteins were identified and quantified, with 51 displaying more than 2-fold expression differences. In addition to some known proteins involved in salt stress, four RNA-binding proteins were found to be up-regulated by high salinity, suggesting that selective RNA export from the nucleus is important for the salt-stress response. Some proteins involved in amino acid synthesis, which have been observed to be up-regulated by amino acid starvation, were also found to increase their abundance on salt stress. These results indicate that salt stress and amino acid starvation cause overlapping cellular responses and are likely to be physiologically linked.

Isolation of rodent airway epithelial cell proteins facilitates in vivo proteomics studies of lung toxicity

Recent developments in genomics, proteomics, and metabolomics hold substantial promise for understanding cellular responses to toxicants. Gene expression profiling is now considered standard procedure, but numerous publications reporting a lack of correlation between mRNA and protein expression emphasize the importance of conducting parallel proteomics studies. The cellular complexity of the lung presents great challenges for in vivo proteomics, and improved isolation methods for proteins from specific lung cell phenotypes are required. To address this issue, we have developed a novel method for isolation of rodent airway epithelial cell proteins that facilitates in vivo proteomics studies of two target-cell pheno-types of the lung, Clara cells and ciliated cells. The airway epithelial cell proteins are reproducibly solubilized, leaving the underlying basement membrane and smooth muscle intact as shown by histopathological analyses. The method yields epithelial cell-specific proteins in fivefold higher concentrations and reduces the yield of nonepithelial cell proteins 13-fold compared with homogenates from microdissected airways. In addition, 36% more protein spots were detectable by two-dimensional gel electrophoresis.

Comparison of proteomic and genomic analyses of the human breast cancer cell line T47D and the antiestrogen-resistant derivative T47D-r

In search of novel mechanisms leading to the development of antiestrogen-resistance in human breast tumors, we analyzed differences in the gene and protein expression pattern of the human breast carcinoma cell line T47D and its derivative T47D-r, which is resistant toward the pure antiestrogen ZM 182780 (Faslodex trade mark, fulvestrant). Affymetrix DNA chip hybridizations on the commercially available HuGeneFL and Hu95A arrays were carried out in parallel to the proteomics analysis where the total cellular protein content of T47D or T47D-r was separated on two-dimensional gels. Thirty-eight proteins were found to be reproducibly up- or down-regulated more than 2-fold in T47D-r versus T47D in the proteomics analysis. Comparison with differential mRNA analysis revealed that 19 of these were up- or down-regulated in parallel with the corresponding mRNA molecules, among which are the protease cathepsin D, the GTPases Rab11a and MxA, and the secreted protein hAG-2. For 11 proteins, the corresponding mRNA was not found to be differentially expressed, and for eight proteins an inverse regulation was found at the mRNA level. In summary, mRNA expression data, when combined with proteomic information, provide a more detailed picture of how breast cancer cells are altered in their antiestrogen-resistant compared with the antiestrogen-sensitive state.

A Proteomic Approach for Quantitation of Phosphorylation Using Stable Isotope Labeling in Cell Culture

Posttranslational modifications are major mechanisms of regulating protein activity and function in vertebrate cells. It is essential to obtain qualitative information about posttranslational modification patterns of proteins to understand signal transduction mechanisms in greater detail. However, it is equally important to measure the dynamics of posttranslational modifications such as phosphorylation to approach signaling networks from a systems biology perspective. Despite a number of advances, methods to quantitate posttranslational modifications remain difficult to implement due to a number of factors including lack of a generic method, elaborate chemical steps, and requirement for large amounts of sample. We have previously shown that stable isotope-containing amino acids in cell culture (SILAC) can be used to differentially label growing cell populations for quantitation of protein levels. In this report, we extend the use of SILAC as a novel proteomic approach for the relative quantitation of posttranslational modifications such as phosphorylation. We have used SILAC to quantitate the extent of known phosphorylation sites as well as to identify and quantitate novel phosphorylation sites.

Molecular Fingerprinting in Human Lung Cancer

The behavior and outcome of lung cancers are highly variable, and not only is the molecular basis of this variability unknown, but neither standard histopathology nor currently available molecular markers can predict these characteristics. Accordingly, the identification of novel biomarkers to differentiate tumor from normal cells and predict tumor behavior such as pathologic stage, response to chemotherapy, and site of relapse, is of great importance in clinical practice. None of the hundreds of single markers evaluated to date have demonstrated significant clinical utility, but by surveying thousands of genes at once with use of microarrays or proteomic technologies, it is now possible to read the molecular signature of an individual patient's tumor. When the signature is mathematically analyzed, new classes of cancer can be observed and insight can be gained into prediction, prognosis, and mechanism. Although some success has been achieved with genomic approaches, proteomics-based approaches allow examination of expressed proteins of a tissue or cell type, complement the genome initiatives, and are increasingly being used to address biomedical questions. This review aims to summarize the state of the art of gene and protein expression profiling for non-small-cell lung cancer

Comparing protein abundance and mRNA expression levels on a genomic scale

Attempts to correlate protein abundance with mRNA expression levels have had variable success. We review the results of these comparisons, focusing on yeast. In the process, we survey experimental techniques for determining protein abundance, principally two-dimensional gel electrophoresis and mass-spectrometry. We also merge many of the available yeast protein-abundance datasets, using the resulting larger 'meta-dataset' to find correlations between protein and mRNA expression, both globally and within smaller categories.

Integrating proteomic and functional genomic technologies in discovery-driven translational breast cancer research

The application of state-of-the-art proteomics and functional genomics technologies to the study of cancer is rapidly shifting toward the analysis of clinically relevant samples derived from patients, as the ultimate aim of translational research is to bring basic discoveries closer to the bedside. Here we describe the essence of a long-term initiative undertaken by The Danish Centre for Translational Breast Cancer Research and currently underway for cancer biomarker discovery using fresh tissue biopsies and bio-fluids. The Centre is a virtual hub that brings together scientists working in various areas of basic cancer research such as cell cycle control, invasion and micro-environmental alterations, apoptosis, cell signaling, and immunology, with clinicians (oncologists, surgeons), pathologists, and epidemiologists, with the aim of understanding the molecular mechanisms underlying breast cancer progression and ultimately of improving patient survival and quality of life. The unifying concept behind our approach is the use of various experimental paradigms for the prospective analysis of clinically relevant samples obtained from the same patient, along with the systematic integration of the biological and clinical data.

Proteomic analysis of eIF-5A in lung adenocarcinomas

We examined the eIF-5A protein expression in 93 lung adenocarcinomas and 10 uninvolved lung samples using quantitative two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) analysis with identification by mass spectrometry and 2-D Western blots. The same tissue samples were examined for the eIF-5A mRNA expression using oligonucleotide microarrays, and the cellular localization of the eIF-5A protein was examined using immunohistochemical analysis on tissue arrays. Higher eIF-5A protein expression was present in tumors showing poor differentiation, 12/13(th) codon K-ras mutations, p53 nuclear accumulation, and tumors with positive lymphocytic response. The eIF-5A mRNA was also significantly increased in lung adenocarcinomas compared to normal lung, but the eIF-5A protein expression was not correlated to its mRNA levels indicating that the increase in the eIF-5A protein expression in lung tumors is post-transcriptionally/translationally/post-translationally regulated. Patients having a higher eIF-5A protein expression showed a relatively poorer survival suggesting the use of eIF-5A as prognostic marker in lung adenocarcinoma. Moreover, the investigation on agents that inhibit eIF-5A function is encouraged.

Direct identification of cytochrome P450 isozymes by matrix-assisted laser desorption/ionization time of flight-based proteomic approach

The main targets of our investigation were cytochrome P450 isozymes (P450), the key enzymes of the hepatic drug-metabolizing system. Current research approaches to the identification of individual P450 forms include specific P450 inhibitors or substrates, antibody-based identification, and mRNA-based expression profiling. All of these approaches suffer from one common disadvantage-they all are indirect methods. On the other hand, current developments in mass spectrometry provide a direct and reliable approach to protein identification with sensitivity in the femtomole or low picomole range. In this study we have used high-accuracy, matrix-assisted laser desorption/ionization time of flight (MALDI TOF)-based peptide mapping to perform direct identification of distinct P450 isozymes in various rat and rabbit liver microsomes. For the first time, the P450 isozyme composition of clofibrate-induced rat and phenobarbital-induced rabbit liver microsomes was determined by peptide mass fingerprinting (PMF). Application of MALDI TOF-based PMF allows differential identification of such highly homologous P450s as CYP2B1 and CYP2B2. We have found that CYP2A10 previously reported only in rabbit olfactory and respiratory nasal mucosa is present in phenobarbital (PB)-induced rabbit liver microsomes. Two other rabbit P450s, earlier identified only by screening a cDNA library, were found to be present in PB-induced rabbit liver microsomes. In summary, direct identification of P450s by proteomic technique offers advantages over other methods with regard to identification of distinct P450 isozymes and should become a standard approach for characterizing microsomes.

Ikaros isoform x is selectively expressed in myeloid differentiation

The Ikaros gene is alternately spliced to generate multiple DNA-binding and nonbinding isoforms that have been implicated as regulators of hematopoiesis, particularly in the lymphoid lineages. Although early reports of Ikaros mutant mice focused on lymphoid defects, these mice also show significant myeloid, erythroid, and stem cell defects. However, the specific Ikaros proteins expressed in these cells have not been determined. We recently described Ikaros-x (Ikx), a new Ikaros isoform that is the predominant Ikaros protein in normal human hematopoietic cells. In this study, we report that the Ikx protein is selectively expressed in human myeloid lineage cells, while Ik1 predominates in the lymphoid and erythroid lineages. Both Ik1 and Ikx proteins are expressed in early human hematopoietic cells (Lin(-)CD34(+)). Under culture conditions that promote specific lineage differentiation, Ikx is up-regulated during myeloid differentiation but down-regulated during lymphoid differentiation from human Lin(-)CD34(+) cells. We show that Ikx and other novel Ikaros splice variants identified in human studies are also expressed in murine bone marrow. In mice, as in humans, the Ikx protein is selectively expressed in the myeloid lineage. Our studies suggest that Ikaros proteins function in myeloid, as well as lymphoid, differentiation and that specific Ikaros isoforms may play a role in regulating lineage commitment decisions in mice and humans.

Hepatocyte growth factor, transforming growth factor alpha, and their receptors as combined markers of prognosis in hepatocellular carcinoma

A change in the balance between proliferation and apoptosis in the course of hepatocellular carcinoma (HCC) development and progression has been suspected. We wanted to identify related genes whose mRNA levels could provide markers of severity and prognosis after resection. The extent of cell apoptosis, proliferation, and differentiation was measured with a terminal deoxynucleotidyl transferase-mediated deoxyuridine 5-triphosphate-biotin nick-end labeling assay, and the Ki-67 index was determined in paired tumor and cirrhotic tissue samples from patients who had undergone HCC resection after diagnosis of hepatitis C-related or alcoholism-related cirrhosis. These patients included two groups with highly versus poorly differentiated tumor cells, and the latter was split into two subgroups of those with versus without early recurrence. The mRNA levels for various apoptosis-related or proliferation-related genes and those for the growth factor/receptor systems were measured by quantitative reverse transcriptase-polymerase chain reaction in paired tumor and cirrhotic liver samples from every patient, and some of the corresponding proteins were detected by immunohistochemistry. In all instances, protein expression was highly heterogeneous within groups and similar between groups. In contrast, some differences in mRNA level between tumor and cirrhotic tissues were quite informative. Low levels of hepatocyte growth factor and transforming growth factor alpha mRNAs were found concomitantly in highly differentiated tumors, whereas overexpression of mRNAs for the cognate receptors c-met and epidermal growth factor receptor were found in poorly differentiated tumors and primarily in patients with early tumor recurrence. These results argue for growth factor-dependent HCC development and provide novel and combined prognosis markers after HCC surgery.

Overexpression of oncoprotein 18 correlates with poor differentiation in lung adenocarcinomas

We examined the expression of oncoprotein 18 (Op18) in 93 lung adenocarcinomas and 10 uninvolved lung samples using quantitative two-dimensional PAGE analysis with confirmation by mass spectrometry and two-dimensional Western blot analysis. mRNA expression was examined using oligonucleotide microarrays, and the cellular localization of the Op18 protein was examined using immunohistochemical analysis of tissue microarrays. Three phosphorylated forms and one unphosphorylated form of the Op18 protein were identified and found to be overexpressed in lung adenocarcinomas as compared with normal lung. The percentage of phosphorylated to total Op18 protein isoforms increased from 3.2% in normal lung to 7.9% in lung tumors. Both the phosphorylated and unphosphorylated Op18 proteins were significantly increased in poorly differentiated tumors as compared with moderately or well differentiated lung adenocarcinomas (p<0.03), suggesting that up-regulated expression of Op18 reflects a poor differentiation status and higher cell proliferation rates. This was further verified in A549 and SKLU1 lung adenocarcinoma cell lines by examining Op18 levels and phosphorylation status following treatment that altered either cell proliferation or differentiation. The increased expression of Op18 protein was significantly correlated with its mRNA level indicating that increased transcription likely underlies elevated expression of Op18. The overexpression of Op18 proteins in poorly differentiated lung adenocarcinomas and the elevated expression of the phosphorylated forms of Op18 may offer a new target for drug- or gene-directed therapy and may have potential utility as a tumor marker.

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

Strains of mice that are susceptible to autoimmunity have provided experimental models to analyze the molecular basis for the complex multifactorial inheritance of human autoimmune disease. In this study proteins associated with collagen-induced arthritis (CIA) in mice were experimentally identified using a global proteomics approach. Two-dimensional gels of proteins from inflamed and non-inflamed joints showed a distinguished protein profile visualizing about 530 Coomassie-stained protein spots in the pH 4-7 range. A total of 76 spots were identified by peptide mass fingerprinting with good confidence. They included proteins of cytoskeletal origin, chaperones, enzymes and also some signal transduction molecules. Comparison to gels from non-inflamed paws pointed to proteins that were differentially expressed between the control and diseased state. Ferritin light chain and antioxidant protein 2 were slightly more abundant, lymphoid enhancer binding factor 1 slightly, but significantly, less abundant in inflamed paws. Fourteen of the identified proteins were the products of genes that had increased transcript levels in the diseased state. However, on the protein level no significant differences were found in comparison to the controls. This study provides us with the framework for more detailed approaches to understanding the complex disease arthritis that go beyond global proteomics.

New approaches for biomarker discovery in lung cancer

Lung cancer remains the most common cause of cancer death in the US and worldwide. Currently, there is no implemented population-based screening for lung cancer. Of all the markers identified, none have achieved sufficient diagnostic significance to reach clinical application. Here we discuss the status of lung cancer early diagnostics, and the genomic and proteomic approaches currently undertaken for biomarker discovery. We then introduce the ANTIBIOMIX approach that enables high-throughput target discovery by interrogating biological samples using a collection of thousands of polyclonal antibodies. The development of specific and sensitive diagnostic assays using patient's biological fluids, such as sputum and serum, will improve screening, monitoring of disease progression and treatment response, and surveillance for recurrence.

Gene expression profiling of endocrine tumors using DNA microarrays: progress and promise

Genomewide profiling of gene expression, made possible by the development of DNA microarray technology and more powerful by the sequencing of the human genome, has led to advances in tumor classification and biomarker discovery for the common types of human neoplasia. Application of this approach to the field of endocrine neoplasia is in its infancy, although some progress has been recently reported. In this review, the progress to date is summarized and the promise of DNA microarray analysis in conjunction with tissue array immunohistochemistry to significantly impact endocrine tumor diagnosis and prognosis is discussed.

Proteomics in translational cancer research: toward an integrated approach

Proteomics provides powerful tools for the study of clinically relevant samples in the context of translational cancer research. Here we briefly review applications of gel-based proteomics for the study of bladder and lung cancer using fresh tissue biopsies. In general, these studies have emphasized the potential of the technology for biomarker discovery, as well as for addressing the issue of cancer heterogeneity.

Proteomics goes quantitative: measuring protein abundance

Protein-based methodologies are catching up with established DNA-based methods at an astonishing speed. Recent developments in mass spectrometry enable high-throughput automated identification of proteins as is already the case with DNA sequencing methods. Furthermore, methods for the quantitation of relative protein abundance at the protein level are getting more advanced, which should complement gene expression monitoring at the mRNA level.

Dynamics of protein turnover, a missing dimension in proteomics

Functional genomic experiments frequently involve a comparison of the levels of gene expression between two or more genetic, developmental, or physiological states. Such comparisons can be carried out at either the RNA (transcriptome) or protein (proteome) level, but there is often a lack of congruence between parallel analyses using these two approaches. To fully interpret protein abundance data from proteomic experiments, it is necessary to understand the contributions made by the opposing processes of synthesis and degradation to the transition between the states compared. Thus, there is a need for reliable methods to determine the rates of turnover of individual proteins at amounts comparable to those obtained in proteomic experiments. Here, we show that stable isotope-labeled amino acids can be used to define the rate of breakdown of individual proteins by inspection of mass shifts in tryptic fragments. The approach has been applied to an analysis of abundant proteins in glucose-limited yeast cells grown in aerobic chemostat culture at steady state. The average rate of degradation of 50 proteins was 2.2%/h, although some proteins were turned over at imperceptible rates, and others had degradation rates of almost 10%/h. This range of values suggests that protein turnover is a significant missing dimension in proteomic experiments and needs to be considered when assessing protein abundance data and comparing it to the relative abundance of cognate mRNA species.