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Altered expression of FHL1, CARP, TSC-22 and P311 provide insights into complex transcriptional regulation in pacing-induced atrial fibrillation.

Atrial fibrillation (AF) is the most common progressive disease in patients with cardiac arrhythmia. AF is accompanied by complex atrial remodeling and changes in gene expression, but only a limited number of transcriptional regulators have been identified. Using a low-density cDNA array, we identified 31 genes involved in transcriptional regulation, signal transduction or structural components, which were either significantly upregulated or downregulated in porcine atria with fibrillation (induced by rapid atrial pacing at a rate of 400-600 bpm for 4 weeks that was then maintained without pacing for 2 weeks). The genes for four and a half LIM domains protein-1 (FHL1), transforming growth factor-beta (TGF-beta)-stimulated clone 22 (TSC-22), and cardiac ankyrin repeat protein (CARP) were significantly upregulated, and chromosome 5 open reading frame gene 13 (P311) was downregulated in the fibrillating atria. FHL1 and CARP play important regulatory roles in cardiac remodeling by transcriptional regulation and myofilament assembly. Induced mRNA expression of both FHL1 and CARP was also observed when cardiac H9c2 cells were treated with an adrenergic agonist. Increasing TSC-22 and marked P311 deficiency could enhance the activity of TGF-beta signaling and the upregulated TGF-beta1 and -beta2 expressions were identified in the fibrillating atria. These results implicate that observed alterations of underlying molecular events were involved in the rapid-pacing induced AF, possibly via activation of the beta-adrenergic and TGF-beta signaling.

Animals↗

High throughput assessment of cells and tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic imaging data.

Vibrational spectroscopy allows a visualization of tissue constituents based on intrinsic chemical composition and provides a potential route to obtaining diagnostic markers of diseases. Characterizations utilizing infrared vibrational spectroscopy, in particular, are conventionally low throughput in data acquisition, generally lacking in spatial resolution with the resulting data requiring intensive numerical computations to extract information. These factors impair the ability of infrared spectroscopic measurements to represent accurately the spatial heterogeneity in tissue, to incorporate robustly the diversity introduced by patient cohorts or preparative artifacts and to validate developed protocols in large population studies. In this manuscript, we demonstrate a combination of Fourier transform infrared (FTIR) spectroscopic imaging, tissue microarrays (TMAs) and fast numerical analysis as a paradigm for the rapid analysis, development and validation of high throughput spectroscopic characterization protocols. We provide an extended description of the data treatment algorithm and a discussion of various factors that may influence decision-making using this approach. Finally, a number of prostate tissue biopsies, arranged in an array modality, are employed to examine the efficacy of this approach in histologic recognition of epithelial cell polarization in patients displaying a variety of normal, malignant and hyperplastic conditions. An index of epithelial cell polarization, derived from a combined spectral and morphological analysis, is determined to be a potentially useful diagnostic marker.

Bayes Theorem↗

Identification of putative oncogenes in lung adenocarcinoma by a comprehensive functional genomic approach.

Amplification and overexpression of putative oncogenes confer growth advantages for tumor development. We used a functional genomic approach that integrated simultaneous genomic and transcript microarray, proteomics, and tissue microarray analyses to directly identify putative oncogenes in lung adenocarcinoma. We first identified 183 genes with increases in both genomic copy number and transcript in six lung adenocarcinoma cell lines. Next, we used two-dimensional polyacrylamide gel electrophoresis and mass spectrometry to identify 42 proteins that were overexpressed in the cancer cells relative to normal cells. Comparing the 183 genes with the 42 proteins, we identified four genes - PRDX1, EEF1A2, CALR, and KCIP-1 - in which elevated protein expression correlated with both increased DNA copy number and increased transcript levels (all r > 0.84, two-sided P < 0.05). These findings were validated by Southern, Northern, and Western blotting. Specific inhibition of EEF1A2 and KCIP-1 expression with siRNA in the four cell lines tested suppressed proliferation and induced apoptosis. Parallel fluorescence in situ hybridization and immunohistochemical analyses of EEF1A2 and KCIP-1 in tissue microarrays from patients with lung adenocarcinoma showed that gene amplification was associated with high protein expression for both genes and that protein overexpression was related to tumor grade, disease stage, Ki-67 expression, and a shorter survival of patients. The amplification of EEF1A2 and KCIP-1 and the presence of overexpressed protein in tumor samples strongly suggest that these genes could be oncogenes and hence potential targets for diagnosis and therapy in lung adenocarcinoma.

Adenocarcinoma↗

Induction in myeloid leukemic cells of genes that are expressed in different normal tissues.

Using DNA microarray and cluster analysis of expressed genes in a cloned line (M1-t-p53) of myeloid leukemic cells, we have analyzed the expression of genes that are preferentially expressed in different normal tissues. Clustering of 547 highly expressed genes in these leukemic cells showed 38 genes preferentially expressed in normal hematopoietic tissues and 122 other genes preferentially expressed in different normal nonhematopoietic tissues, including neuronal tissues, muscle, liver, and testis. We have also analyzed the genes whose expression in the leukemic cells changed after activation of WT p53 and treatment with the cytokine IL-6 or the calcium mobilizer thapsigargin. Of 620 such genes in the leukemic cells that were differentially expressed in normal tissues, clustering showed 80 genes that were preferentially expressed in hematopoietic tissues and 132 genes in different normal nonhematopoietic tissues that also included neuronal tissues, muscle, liver, and testis. Activation of p53 and treatment with IL-6 or thapsigargin induced different changes in the genes preferentially expressed in these normal tissues. These myeloid leukemic cells thus express genes that are expressed in normal nonhematopoietic tissues, and various treatments can reprogram these cells to induce other such nonhematopoietic genes. The results indicate that these leukemic cells share with normal hematopoietic stem cells the plasticity of differentiation to different cell types. It is suggested that this reprogramming to induce in malignant cells genes that are expressed in different normal tissues may be of clinical value in therapy.

Animals↗

Up-regulation of ALG-2 in hepatomas and lung cancer tissue.

ALG-2 was isolated in a screen for proteins involved in programmed cell death and is the first Ca(2+)-binding protein found to be directly involved in apoptosis. We have generated polyclonal antibodies that are suitable for detecting ALG-2 using different immunological methods. Three commercial antibodies against ALG-2 did neither detect mouse recombinant ALG-2 nor endogenous ALG-2 in Jurkat cell lysates, whereas our own affinity-purified antibody recognized recombinant as well as endogenous ALG-2. The specificity of the antibody was shown by preabsorbtion experiments and on ALG-2-deficient cells using Western blot analysis and immunohistochemistry. Western blot analysis of 15 different adult mouse tissues demonstrated that ALG-2 is ubiquitously expressed. We found that ALG-2 was more than threefold overexpressed in rat liver hepatoma compared to normal rat liver using Western blot analysis, a result confirmed by immunohistochemical analysis. Staining of four different lung cancer tissue microarrays including specimens of 263 patients showed that ALG-2 is mainly localized to epithelial cells and significantly up-regulated in small-cell lung cancers and in non-small-cell lung cancers. Our results lead to the conclusion that ALG-2 beside its known proapoptotic functions may be a player in survival pathways.

Animals↗

Proteomic profiling in microdissected hepatocellular carcinoma tissue using ProteinChip technology.

At present, the molecular mechanisms of hepatocellular carcinogenesis are not well understood. It is known, however, that cancer development and progression are accompanied by profound changes at the cellular and subcellular level, involving RNA/DNA and protein structure and function. Therefore, high-throughput, proteomic techniques targeting these biological molecules may provide novel insights into HCC genesis and prognosis. We characterized tissue protein profiles from 10 HCC patients using ProteinChip technology (SELDI) which is able to detect minute amounts of proteins and moreover to analyze complex protein pattern. Therefore, after histopathological examination, proteins from kryostat sections of non-tumorous hepatic tissue as well as from central and peripheral tumor areas were isolated from complete histological sections or from selected and microdissected tissue areas. Analysis on the SAX and WCX ProteinChip Arrays revealed 14-26, and 25-29 differentially expressed peaks respectively, which characterized non-tumorous and tumor tissue (p< or =0.05). One feature which allows differentiation between central tumor and peripheral tumor regions could only be detected in microdissected tissue. Using ProteinChip technology in combination with tissue microdissection it is possible to investigate complex changes at the protein level in hepatocellular cancer associated with tumor development and progression.

Biomarkers, Tumor↗

Construction of human corneal endothelial cDNA library and identification of novel active genes.

PURPOSE: To describe genes expressed in human corneal endothelial cells and identify novel genes. METHODS: Sixteen human donor corneas that had no history of corneal disease, infection, or intraocular surgery were used within 7 days of death. Total RNA was extracted from corneal endothelial cells with attached Descemet membranes. A 3'-directed cDNA library was constructed from mRNA by using a pUC19-based primer. These sequences were compared with each other to determine their frequency and were searched against GenBank for identification. To identify novel specific and abundant transcript genes in corneal endothelial cells, the novel genes were compared with an expressed sequence tag database, the expected sequence extended, and 5' rapid amplification of cDNA ends-polymerase chain reaction cloning performed. RESULTS: The human corneal endothelial cDNA library showed that the most abundant transcript was prostaglandin D2 synthase. The remaining transcript genes that were present in abundance consisted of lactate dehydrogenase-A, gene signature (GS) 3582, which is a novel gene without a known function, and matrix Gla protein. The full-length sequence of GS3582 showed similarity to genes obtained in ovary and TESTIS. CONCLUSIONS: A human corneal endothelial cDNA library was constructed. An expression profile of corneal endothelium provides probes to monitor physiologic and pathologic conditions of this tissue in terms of gene expression.

Aged↗

Determination of stromal signatures in breast carcinoma.

Many soft tissue tumors recapitulate features of normal connective tissue. We hypothesize that different types of fibroblastic tumors are representative of different populations of fibroblastic cells or different activation states of these cells. We examined two tumors with fibroblastic features, solitary fibrous tumor (SFT) and desmoid-type fibromatosis (DTF), by DNA microarray analysis and found that they have very different expression profiles, including significant differences in their patterns of expression of extracellular matrix genes and growth factors. Using immunohistochemistry and in situ hybridization on a tissue microarray, we found that genes specific for these two tumors have mutually specific expression in the stroma of nonneoplastic tissues. We defined a set of 786 gene spots whose pattern of expression distinguishes SFT from DTF. In an analysis of DNA microarray gene expression data from 295 previously published breast carcinomas, we found that expression of this gene set defined two groups of breast carcinomas with significant differences in overall survival. One of the groups had a favorable outcome and was defined by the expression of DTF genes. The other group of tumors had a poor prognosis and showed variable expression of genes enriched for SFT type. Our findings suggest that the host stromal response varies significantly among carcinomas and that gene expression patterns characteristic of soft tissue tumors can be used to discover new markers for normal connective tissue cells.

Breast Neoplasms↗

Tissue-specific microdissection coupled with ProteinChip array technologies: applications in cancer research.

Analysis of whole genomes to monitor specific changes in gene activation or changes in gene copy number due to perturbation has recently become possible using DNA chip technologies. It is now becoming apparent, however, that knowing the genetic sequence encoding a protein is not sufficient to predict the size or biological nature of a protein. This can be particularly important in cancer research where posttranslational modifications of a protein can specifically lead to the disease. To address this area, several proteomic tools have been developed. Currently the most widely used proteomics tool is two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), which can display protein expression patterns to a high degree of resolution. However, 2D-PAGE can be time consuming; the analysis is complicated and, compared with DNA techniques, is not very sensitive. Although some of these problems can be alleviated by using high-quality homogeneous samples, such as those generated using microdissection techniques, the quantity of sample is often limited and may take several days to generate sufficient material for a single 2D-PAGE analysis. As an alternative to 2D-PAGE, a preliminary study using a new technique was used to generate protein expression patterns from either whole tissue extracts or microdissected material. Surface-enhanced laser desorption and ionization allows the retention of proteins on a solid-phase chromatographic surface or ProteinChip Array with direct detection of retained proteins by time-of-flight mass spectrometry. Using this system, we analyzed tumor and normal tissue from head and neck cancer and microdissected melanoma to determine differentially expressed proteins. In particular, comparisons of the protein expression patterns from microdissected normal and tumor tissues indicated several differences, highlighting the importance of extremely defined tissue lysates for protein profiling.

Biosensing Techniques↗

Hypoxia-inducible myoglobin expression in nonmuscle tissues.

Myoglobin (Myg) is an oxygen-binding hemoprotein that is widely thought to be expressed exclusively in oxidative skeletal and cardiac myocytes, where it plays a key role in coping with chronic hypoxia. We now show in a hypoxia-tolerant fish model, that Myg is also expressed in a range of other tissues, including liver, gill, and brain. Moreover, expression of Myg transcript was substantially enhanced during chronic hypoxia, the fold-change induction being far greater in liver than muscle. By using 2D gel electrophoresis, we have confirmed that liver expresses a protein corresponding to the Myg-1 transcript and that it is significantly up-regulated during hypoxia. We have also discovered a second, unique Myg isoform, distinct from neuroglobin, which is expressed exclusively in the neural tissue but whose transcript expression was unaffected by environmental hypoxia. Both observations of nonmuscle expression and a brain-specific isoform are unprecedented, indicating that Myg may play a much wider role than previously understood and that Myg might function in the protection of tissues from deep hypoxia and ischemia as well as in reoxygenation and reperfusion injury.

Amino Acid Sequence↗

Proteomic analysis of formalin-fixed prostate cancer tissue.

Proteomic analysis of formalin-fixed paraffin-embedded (FFPE) tissue would enable retrospective biomarker investigations of this vast archive of pathologically characterized clinical samples that exist worldwide. These FFPE tissues are, however, refractory to proteomic investigations utilizing many state of the art methodologies largely due to the high level of covalently cross-linked proteins arising from formalin fixation. A novel tissue microdissection technique has been developed and combined with a method to extract soluble peptides directly from FFPE tissue for mass spectral analysis of prostate cancer (PCa) and benign prostate hyperplasia (BPH). Hundreds of proteins from PCa and BPH tissue were identified, including several known PCa markers such as prostate-specific antigen, prostatic acid phosphatase, and macrophage inhibitory cytokine-1. Quantitative proteomic profiling utilizing stable isotope labeling confirmed similar expression levels of prostate-specific antigen and prostatic acid phosphatase in BPH and PCa cells, whereas the expression of macrophage inhibitory cytokine-1 was found to be greater in PCa as compared with BPH cells.

Amino Acid Sequence↗

Molecular cloning, characterization, and tissue-specific expression of human LANCL2, a novel member of the LanC-like protein family.

We identified and characterized the cDNA coding for human LANCL2, a new member of the eukaryotic LanC-like protein family which is related to the bacterial lanthionine synthetase components C (LanC). The composite nucleotide sequence revealed a coding region of 1353 bp, a 5'-UTR of 186 bp and a 3'-UTR of 2421 bp. The deduced sequence of 450 amino acids showed 57.9% identity (74.7% similarity) when compared with the human LANCL1 homologue. In contrast to LANCL1, a unique ATP/GTP-binding site motif A was found in LANCL2. Northern blot analysis revealed the presence of two major transcripts in the brain, 4.7 kb and 4.1 kb in size, and a major 1.8 kb transcript in testis. Accordingly, expression array analysis showed prominent signals in these tissues. Because of the structural similarity to LanC, we postulate that LANCL2 may play a role as a component of a peptide-modifying complex.

Amino Acid Sequence↗

Tight junction proteins claudin-3 and claudin-4 are frequently overexpressed in ovarian cancer but not in ovarian cystadenomas.

PURPOSE: Claudin proteins represent a large family of integral membrane proteins crucial for tight junction (TJ) formation and function. Claudins have been shown to be up-regulated in various cancers and have been suggested as possible biomarkers and targets for cancer therapy. Because claudin-3 and claudin-4 have been proposed to be expressed in epithelial ovarian cancer, we have performed a detailed analysis of CLDN3 and CLDN4 expression in a panel of ovarian tumors of various subtypes and cell lines. We also investigated whether high expression of claudin-3 and claudin-4 was associated with TJ function in ovarian cancer cells. EXPERIMENTAL DESIGN: RNA was obtained from a panel of 39 microdissected epithelial ovarian tumors of various histological subtypes for real-time reverse transcription-PCR analysis. In addition, a total of 70 cases of ovarian carcinomas, ovarian cysts, and normal ovarian epithelium from a tissue array were analyzed by immunohistochemistry. Finally, a panel of cell lines was used for Western analysis of claudin expression and TJ permeability studies. RESULTS: Although expressed at low levels in some normal human tissues, including the ovary, CLDN3 and CLDN4 are highly up-regulated in epithelial ovarian cancers of all subtypes. Immunohistochemical analyses using our ovarian tissue array confirmed the high level of expression of claudin-3 and claudin-4 in the majority of ovarian carcinomas, including many tumors exhibiting cytoplasmic staining. Ovarian cystadenoma did not frequently overexpress these proteins, suggesting that the expression of these proteins is associated with malignancy. In ovarian cancer cell lines, claudin-3 and claudin-4 expression was not associated with functional TJs as measured by transepithelial electrical resistance. CONCLUSIONS: These results show that CLDN3 and CLDN4 are frequently up-regulated in ovarian tumors and cell lines and may represent novel markers for this disease. Overexpression of these genes in ovarian cancer also suggests interesting scenarios for the involvement of TJ in tumorigenesis. A better knowledge of the mechanisms underlying ovarian tumorigenesis will likely result in the development of novel approaches for the diagnosis and therapy of this deadly disease.

Blotting, Northern↗

Tissues from population-based cancer registries: a novel approach to increasing research potential.

Population-based cancer registries, such as those included in the Surveillance, Epidemiology, and End-Results (SEER) Program, offer tremendous research potential beyond traditional surveillance activities. We describe the expansion of SEER registries to gather formalin-fixed, paraffin-embedded tissue from cancer patients on a population basis. Population-based tissue banks have the advantage of providing an unbiased sampling frame for evaluating the public health impact of genes or protein targets that may be used for therapeutic or diagnostic purposes in defined communities. Such repositories provide a unique resource for testing new molecular classification schemes for cancer, validating new biologic markers of malignancy, prognosis and progression, assessing therapeutic targets, and measuring allele frequencies of cancer-associated genetic polymorphisms or germline mutations in representative samples. The assembly of tissue microarrays will allow for the use of rapid, large-scale protein-expression profiling of tumor samples while limiting depletion of this valuable resource. Access to biologic specimens through SEER registries will provide researchers with demographic, clinical, and risk factor information on cancer patients with assured data quality and completeness. Clinical outcome data, such as disease-free survival, can be correlated with previously validated prognostic markers. Furthermore, the anonymity of the study subject can be protected through rigorous standards of confidentiality. SEER-based tissue resources represent a step forward in true, population-based tissue repositories of tumors from US patients and may serve as a foundation for molecular epidemiology studies of cancer in this country.

Biomarkers, Tumor↗

Molecular alterations in pancreatic carcinoma: expression profiling shows that dysregulated expression of S100 genes is highly prevalent.

In order to expand our understanding of the molecular changes underlying the complex pathology of pancreatic malignancy, global gene expression profiling of pancreatic adenocarcinoma compared with normal pancreatic tissue was performed. Human cDNA arrays comprising 9932 elements were interrogated with fluorescence-labelled normal and adenocarcinoma samples (nine tumours, three normal pancreata, and three cell lines). The data were analysed for differential gene expression, which was confirmed by serial analysis of gene expression (SAGE), digital differential display (DDD) analysis, and immunohistochemistry for selected cases. The array data were filtered to produce lists of a total of 75 genes significantly up-regulated or down-regulated in pancreatic adenocarcinoma. Two of those showing the highest differential were members of the S100 family of Ca-binding proteins, namely S100P and S100A6, and therefore the S100 genes were studied in more detail. By immunohistochemical analysis of custom-built, pancreas-specific tissue arrays and commercially available, normal/cancer tissue arrays that included a wide variety of different tumour types, differential expression of S100P protein was found to be almost exclusive to pancreatic cancer. S100P could therefore represent a useful biomarker for pancreatic adenocarcinomas.

Adenocarcinoma↗

Gene expression profiling of women with varying degrees of cervical intraepithelial neoplasia.

OBJECTIVE: A pilot study to determine genomic microarray differences in patients with normal cervical tissue and cervical intraepithelial neoplasia (CIN) 3. MATERIALS AND METHODS: After institutional review board approval, patients referred to the University of Alabama at Birmingham Colposcopy Clinic for a loop electrosurgical excisional procedure were identified. Tissue biopsies of both normal tissue and CIN 3 from fresh loop electrosurgical excisional procedure specimens were obtained and sent to pathology for histological confirmation. Procurement of these 2 types of tissue from the same patient controls for different types of human papillomavirus infection, smoking and nutritional status, age, immunocompetency, and other microenvironment factors (i.e., the patient serves as their own control). Standard RNA extraction techniques (Qiagen, Inc., Valencia, CA) were used to prepare the tissue specimens for microarray analysis with the Affymetrix GeneChip U133A expression array (Affymetrix, Inc., Santa Clara, CA). Paired samples were eligible for microarray analysis only when both normal tissue and CIN 3 were confirmed by pathology. The data were then subsequently subjected to a log-like transformation and analyzed with a t test. For this study, p<.001 was determined to be statistically significant. RESULTS: Twenty-one pairs of both normal and CIN tissues were obtained and underwent histological evaluation followed by RNA extraction. Within the normal group, 86% were confirmed as true normals and 14% as CIN. Within the CIN group, 28.5% were found to have CIN 2, 62% were found to have CIN 3, and 9.5% had no evidence of CIN. Mean RNA content of normal samples was 2.0 microg, whereas the mean RNA content of CIN samples was significantly higher at 7.4 microg (p=006). Ultimately, 5 pairs of normal and neoplastic tissues were subjected to microarray analysis. Using a cutoff of p<.001, 24 candidate genes were identified from more than 18,000 genes. In the CIN 3 group, 14 genes were overexpressed and 10 genes were underexpressed. Of the 14 overexpressed genes, 9 were noted to have identities listed in the National Center for Biotechnology Information public domain. Five (56%) of these 9 genes were directly related to immunity-related pathways, and 3 (33%) of the 9 genes were found to be involved in cell cycle function/control. One overexpressed gene was identified as p53. CONCLUSIONS: The presence of CIN is marked by increased transcriptional activity, evident by an almost 4-fold increase in mean RNA content obtained from our CIN samples versus normal cervical tissue. Furthermore, a number of statistically significant overexpressed genes of interest related to immune function/response and cell cycle control were identified in our pilot microarray study. This data have the ability to direct future research endeavors in cervical neoplasia. Future endeavors include the use of laser capture microdissection to evaluate genomic changes strictly at the epithelial level and, as such, exclude stromal response contributions.

Adult↗