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Quantitative analysis of colorectal tissue microarrays by immunofluorescence and in situ hybridization.

The accuracy and reliability of in situ studies may be compromised by qualitative interpretations. Quantitation imposes a greater degree of objectivity, is more reproducible, and facilitates the clarity of definitions. The aim of this study was to validate the utility of laser imaging systems for the in situ quantitative analysis of gene expression in tissue microarrays. Immunofluorescence was employed to quantify the expression of the tumour suppressor p53, a marker of proliferation (Ki67), an endothelial cell marker (CD31), and the mismatch repair proteins human Mut L homologue 1 and human Mut S homologue 2 in an arrayed series of colorectal tissues (n = 110). Quantitative data on this panel of antigens were compared objectively with qualitative scoring of immunohistochemical chromogen deposition. In addition, the expression of vascular endothelial growth factor (VEGF)-A, placental growth factor, hepatocyte growth factor, and c-Met mRNA was quantified by phosphor image analysis of in situ hybridization reactions. The quantified data on p53, Ki67, and CD31 expression were significantly associated with the pathologist's score (p < or = 0.001). While hepatocyte growth factor and placental growth factor were not up-regulated, c-Met expression was increased up to 2.5-fold and the median VEGF-A expression was elevated 4-fold (p = 0.003) in this series of colorectal tumours. Laser imaging systems are therefore feasible for high-throughput, quantitative profiling of tissue microarrays.

Biomarkers, Tumor↗

Constitutive Fas ligand expression in several non-lymphoid mouse tissues: implications for immune-protection and cell turnover.

The cell surface receptor Fas (FasR, Apo-1, CD95) and its ligand (FasL) are mediators of apoptosis which have been shown to be implicated in peripheral deletion of autoimmune cells, activation-induced T cell death, and one of the two major cytolytic pathways mediated by CD8+ cytolytic T cells. Analysis of FasL expression during mouse embryogenesis and in adult tissues reveals that FasL, although initially thought to be restricted to lymphoid cells, is constitutively expressed in a wide array of non lymphoid tissues. FasL mRNA is detectable in mouse embryos from 16.5-d onwards in epithelial cells of the submaxillary gland, and neurons of the developing nervous system. In general, FasL mRNA was not detectable in characteristic sites of embryonic programmed cell death. In the adult mouse, by RNase protection analysis, FasL mRNA is detectable in all 20 tissues tested except for the heart and pancreas. Similar analysis performed simultaneously for Fas indicates that several tissues, including the thymus, lung, spleen, small intestine, liver, seminal vesicle, prostate and uterus co-express the two genes. Most tissues constitutively co-expressing Fas and FasL in the adult mouse are characterized by apoptotic cell turnover, and many of those expressing FasL are known to be immune-privileged. The pattern of FasL expression in mice suggests that FasL may be implicated in the regulation of physiological cell turnover, and the protection of tissues against potential lymphocyte mediated damage.

Animals↗

PCR-array gene expression profiling of hepatocellular carcinoma.

Many trials using DNA microarrays have been reported for various human malignancies, but an efficient molecular diagnostic system has yet to be established. Here, we adopted a high throughput quantitative PCR-array system based on adaptor-tagged competitive PCR (ATAC-PCR), as a novel technique for gene expression profiling of hepatocellular carcinoma (HCC). This PCR-array contained 3,072 genes derived from three different cDNA libraries, including 298 additional known genes suspected to be involved in hepatocarcinogenesis. Using this PCR-array with 20 pairs of liver tissues (20 HCC, 20 surrounding nontumor liver), we identified a total of 117 genes differing in expression levels in the two liver tissues. Hierarchical clustering analysis and principal component analysis with these genes revealed distinct gene expression patterns in the HBV-positive group and the HCV-positive groups. Among 117 genes, only 7 (GPAA1, TMEM9, FACL4, ADFP, MAWBP, PACE4, FOS) were common to both groups. In conclusion, this PCR-array analysis with an appropriate set of genes is considered useful for gene expression profiling of HCC, and we identified some genes which may play a common key role in hepatocarcinogenesis.

Aged↗

Analysis of local tissue-specific gene expression in cellular micropatterns.

While cellular micropatterning approaches are employed extensively in cell biology and tissue engineering, only a limited number of methods for analysis of local function in the context of a complex, microfabricated environment are currently available. The present study develops a novel strategy for analysis of local tissue-specific function in cellular micropatterns. Model hepatocytes (HepG2 cells) were seeded onto silane-modified glass slides containing robotically printed arrays of collagen type I. These model hepatocytes formed cell arrays with individual cell cluster dimensions (150 or 500 microm) corresponding in size to the printed collagen spots. Non-parenchymal cells (3T3 fibroblasts) were added to hepatocellular micropatterns to create heterotypic cocultures. Expression of hepatic phenotype in HepG2 cells was first verified by traditional techniques including intracellular staining and ELISA for albumin. In order to evaluate local liver function in the cellular microarray, individual array members composed of approximately 400 hepatocytes were retrieved using laser capture microdissection and analyzed with real-time reverse transcriptase (RT)-polymerase chain reaction (PCR). Hepatic function was assessed based on expression of four genes associated with differentiated liver phenotype: albumin, transferrin, alpha-fetoprotein, and alpha1-antitrypsin. "Titration" experiments, carried out to identify the smallest population of HepG2 cells yielding detectable mRNA levels and RT-PCR signals, showed that extraction area of 12,500 microm2 (corresponding to approximately 70 cells) provided detectable gene expression signals. All four liver-specific genes were routinely evaluated after extraction of approximately 400 HepG2 from the micropatterned surfaces. Significantly, selective retrieval and subsequent analysis of tissue-specific function was demonstrated for hepatic cells micropatterned alone and in coculture with non-parenchymal cells. In the future, methods described in this study will offer the possibility to investigate dynamic and reciprocal interactions between two or more cell types positioned on a microfabricated cell culture surface. We also envision the proposed approaches to be ideally suited for cell analysis in the context of combinatorial microenvironment.

3T3 Cells↗

Tissue-specific transgenic knockdown of Fos-related antigen 2 (Fra-2) expression mediated by dominant negative Fra-2.

Fos-related antigen 2 (Fra-2) is a member of the Fos family of immediate-early genes, most of which are rapidly induced by second messengers. All members of this family act by binding to AP-1 sites as heterodimeric complexes with other proteins. However, each appears to have a distinct role. The role and biology of Fra-2 are less well understood than those of its relatives c-Fos, Fra-1, and FosB; moreover, Fra-2 target genes remain largely unknown, as does the basis of its selective effects on transcriptional activity. To pursue these issues, we created a transgenic rat line (NATDNF2) in which a dominant negative fra-2 (DNF2) gene is strongly expressed in the pineal gland; tissue selectivity was achieved by putting the DNF2 gene under the control of the rat arylalkylamine N-acetyltransferase (AANAT) regulatory region, which targets gene expression to a very restricted set of tissues (pineal gland >> retina). Expression of AANAT is normally turned on after the onset of darkness in the rat; as a result, pineal DNF2 expression occurs only at night. This was associated with marked suppression of the nocturnal increase in fra-2 mRNA and protein levels, indicating that DNF2 expression inhibits downstream effects of Fra-2, including the maintenance of high levels of fra-2 gene expression. Analysis of 1,190 genes in the NATDNF2 pineal gland, including the AANAT gene, identified two whose expression is strongly linked to fra-2 expression: the genes encoding type II iodothyronine deiodinase and nectadrin (CD24).

3T3 Cells↗

Purification of neuronal precursors from the adult mouse brain: comprehensive gene expression analysis provides new insights into the control of cell migration, differentiation, and homeostasis.

The progeny of neural stem cells in the subventricular zone (SVZ) of the adult mammalian brain consists in polysialylated NCAM-expressing immature neurons (PSA(+) cells), which migrate to the olfactory bulb (OB) to differentiate into GABAergic interneurons. We purified murine PSA(+) cells directly from the adult brain by FACS and analyzed their gene expression profile by SAGE. Comparative analyses led to the identification of precursor-enriched genes, including Survivin, Sox-4, Meis2, Dishevelled-2, C3aR1 and Riken 3110003A17, and many so far uncharacterized transcripts. Cluster analysis showed that groups of genes involved in axon guidance and gene clusters implicated in chemotaxis are strongly upregulated, indicating a role of both cues in the control of cell migration in the adult brain. Furthermore, genes involved in apoptosis and cell proliferation are co-expressed, suggesting that the amount of precursors that is present in the adult brain is a result of an equilibrium of these processes.

Animals↗

Upstream binding factor up-regulated in hepatocellular carcinoma is related to the survival and cisplatin-sensitivity of cancer cells.

Upstream binding factor (UBF) is an RNA polymerase I-specific transcription factor. By representational difference analysis, Northern blot, and cDNA array analysis, up-regulation of UBF was detected in 12 of 17 clinical hepatocellular carcinoma samples comparing to the paired normal liver tissues. Introduction of UBF in human lung fibroblast cells that do not express UBF resulted in an accelerated rate of cell growth; on the other hand, antisense oligodeoxynucleotides (ODNs) treatment of UBF-expressing hepatoma cell lines reduced the level of UBF protein, suppressed the colony formation capacity of these cells on soft agarose, and finally caused cell death. Annexin V binding analysis suggested that anti-UBF ODN-caused cell death might involve weak apoptosis, however, DNA laddering and cleavage of poly (ADP-ribose) polymerase were not observed in these ODN-treated cells. Expression profiling of the anti-UBF ODN-treated cells using a human cDNA array revealed that the expression of 30 genes was altered in response to the inhibition of UBF expression. Notably, UBF expression could increase the cell sensitivity to the chemotherapeutic reagent cis-diaminedichloroplatinum (II). We proposed that UBF is fundamental to the survival of cells expressing the gene, and is potential as a target for screening anti-cancer drugs and an indicator in selecting chemotherapeutic reagents.

Antineoplastic Agents↗

Reduced expression of metastasis suppressor RhoGDI2 is associated with decreased survival for patients with bladder cancer.

PURPOSE: RhoGDI2 was recently shown to be a metastasis suppressor gene in models of bladder cancer. We sought to further understand its importance in human cancer by determining the level of its expression and the distribution of its encoded protein in normal human tissues and cell lines and to evaluate whether its protein expression is a determinant of human bladder cancer progression. EXPERIMENTAL DESIGN: RhoGDI2 mRNA and protein expression was evaluated in cell lines and human tissues using Affymetrix and tissue microarrays, respectively. Tissue microarrays represented most human normal adult tissues and material from 51 patients that had undergone radical cystectomy for bladder cancer. In these 51 patients, the chi(2) test was used to test for associations between RhoGDI2 and stage, grade of urothelial carcinoma, histological type, and disease-specific survival status. Cox proportional hazards regression analyses were used to estimate the effect of RhoGDI2 expression level on time to development of metastatic disease and disease-specific survival time, adjusting for grade, stage, and histological type. RESULTS: In normal tissues, there was strong RhoGDI2 protein expression in WBCs, endothelial cells, and transitional epithelium. RhoGDI2 mRNA expression was inversely related to the invasive and metastatic phenotype in human bladder cancer cell lines. In patients with bladder cancer, univariate analysis indicated that reduced tumor RhoGDI2 protein expression was associated with a lower actuarial 5-year disease-free and disease-specific survival (P = 0.01). In addition, patients with tumors that had low or absent RhoGDI2 had a shorter time to disease-specific death (P <or= 0.01). When tumor grade, stage, histological type, and RhoGDI2 staining level were examined using multivariate analysis, RhoGDI2 expression was found to be an independent predictive factor for disease-specific death (P = 0.03). CONCLUSIONS: These results suggest that RhoGDI2 is an independent predictor of prognosis for patients with bladder cancer and provide clinical evidence in support of its involvement in cancer metastasis.

Cell Line, Tumor↗

Integrative transcriptomic, spatial and functional-genomic analysis identifies a UFMylation-related vascular-stromal program and prioritizes WWTR1 in glioblastoma.

Glioblastoma (GBM) contains spatially organized stress-adaptive and vascular niches. Because transcript abundance does not measure UFM1 conjugation, we asked whether a UFMylation-related transcriptional axis identifies a reproducible tissue program and alters candidate prioritization. In 518 unique primary TCGA-GBM tumors profiled on the Affymetrix HT Human Genome U133A array, weighted gene co-expression network analysis of 8,000 variable genes yielded 12 modules. The 278-gene green module ranked first across nine prespecified traits (mean |r|=0.637). Direct overlap comprised 1/3 measurable UFMylation-core, 5/19 ER-stress/UPR, and 2/15 proteostasis genes; after excluding overlapping genes, correlations with the green eigengene remained significant (r&#x2009;=&#x2009;0.373, 0.831, 0.639, and 0.699 for UFMylation-core, ER-stress/UPR, proteostasis, and composite scores, respectively). The green score was associated with overall survival per standard-deviation increase (HR 1.17, 95% CI 1.07-1.28), although clinical adjustment attenuated the estimate. In a 10-sample single-cell dataset, sample-level scores were higher in pericytes and endothelial cells than in malignant cells. Donor-aware IvyGAP analysis supported regional organization, whereas one Visium section showed stronger concordance with ER-stress/UPR and mesenchymal scores than with the UFMylation-core score. CellChat indicated pathway-selective rather than global remodeling of inferred vascular communication. Layer ablation moved WWTR1 from rank 48 using WGCNA alone to rank 4 overall and rank 1 among non-common-essential genes after cross-platform integration. These findings define an ER-stress/mesenchymal-weighted, UFMylation-related vascular-stromal transcriptional association and nominate WWTR1 for experimental testing.

Humans↗

3-D temperature distribution in ultrasound hyperthermia with interstitial waveguide applicator.

Knowledge of temperature distribution in thermal treatment of cancerous tissue is of primary importance for the therapy success. We discuss here finite element analysis approach to obtain 3-D temperature distribution in heating with a four-applicator array. A comparison of phantom and simulation temperatures indicated that inclusion of shear component in heating with ultrasound interstitial applicators improves significantly the simulation quality factor. We included this component in simulations of 3-D temperature pattern when heating brain tissue with the array. The simulations for the tissue show that the perfusion remains a primary factor in defining the pattern.

Body Temperature↗

NYD-SP16, a novel gene associated with spermatogenesis of human testis.

By hybridizing human adult testis cDNA microarrays with human adult and embryo testis cDNA probes, a novel human testis gene NYD-SP16 was identified. NYD-SP16 expression was 6.44-fold higher in adult testis than in fetal testis. NYD-SP16 contains 1595 base pairs (bp) and a 762-bp open reading frame encoding a 254-amino acid protein with 73% amino acid sequence identity with the mouse testis homologous protein. The NYD-SP16 gene was localized to human chromosome 5q14. The deduced structure of the NYD-SP16 protein contains one transmembrane domain, which was confirmed by GFP/NYD-SP16 fusion protein expression in the cytomembrane of the transfected human choriocarcinoma JAR cells, suggesting that it is a transmembrane protein. Multiple tissue distribution indicated that NYD-SP16 mRNA is highly expressed in the testes and pancreas, with little or no expression elsewhere. Further analysis of abnormal expression in infertile male patients revealed complete absence of NYD-SP16 in the testes of patients with Sertoli-cell-only syndrome and variable expression in patients with spermatogenic arrest. Homologous gene expression in mouse testis was confirmed in spermatogenic cells by in situ hybridization. The results of cDNA microarray, in situ hybridization, and semiquantitative polymerase chain reaction in mouse testis of different stages indicated that NYD-SP16 expression is developmentally regulated. These results suggest that the putative NYD-SP16 protein may play an important role in testicular development/spermatogenesis and may be an important factor in male infertility.

Adult↗

Evaluation of a whole-genome amplification method based on adaptor-ligation PCR of randomly sheared genomic DNA.

High-throughput genetic studies often require large quantities of DNA for a variety of analyses. Developing and assessing a whole-genome amplification method is thus important, especially with the current desire for large-scale genotyping in previously collected samples for which limited DNA is available. The method we have developed, called PRSG, is based on an adaptor-ligation-mediated PCR of randomly sheared genomic DNA. An unbiased representation was evaluated by performing PCR on 2,607 exons of 367 genes, which are randomly distributed throughout the genome, on PRSG products of hundreds of individuals. An infrequent loss (<1%) of the exon sequence on the PRSG products was found. Out of 307 microsatellites on various chromosomes, 258 (84%) were amplified in both the PRSG product and an original DNA, whereas 49 (16%) microsatellites were lost only in the PRSG product. Array CGH analysis of 287 loci for measuring the relative gene copy number demonstrated that a low bias was detected. Moreover, this method was validated on 100-1,000 laser-captured cells from paraffin-embedded tissues. These data show that PRSG can provide a sufficient amount of genomic sequence for a variety of genetic analyses as well as for long-term storage for future work.

DNA Ligases↗

Comparison of gene expression profiles in neuropathic and inflammatory pain.

Molecular mechanisms underlying the differences between chronic neuropathic and inflammatory pain are still poorly understood. Identifying those differences should provide insight into the molecular mechanism underlying features unique for neuropathic pain, such as allodynia. We have performed screening for differentially expressed genes in the spinal cord in the rat models of neuropathic and inflammatory pain. Using BD Atlas Rat 4K arrays we found several differences in expression of secretion-related genes between inflammatory and neuropathic pain. Development of the latter was characterized by up-regulated expression of genes associated with immune response and microglia activation and also, to a lesser extent, with cytoskeleton rearrangement. The relative increase in abundance of four genes, intercellular adhesion molecule 1 (ICAM-1), calcitonin gene related peptide (CGRP), tissue inhibitor of metalloproteinase 1 (TIMP-1), chemokine-like receptor 1 was confirmed by reverse transcription Real-Time PCR (qPCR) validation in the spinal cord in neuropathic pain. Levels of transcripts corresponding to ICAM-1 and TIMP-1 were also increased in the dorsal root ganglia (DRG) of neuropathic rats. Our data point at the importance of immune response- and microglia activation-related genes in the development of chronic neuropathic pain, and suggest that expression of CGRP gene in the dorsal horn of the spinal cord could be involved in persistence of its symptoms.

Animals↗

Redox regulation of matrix metalloproteinase gene family in small cell lung cancer cells.

It has been implicated that reactive oxygen species (ROS) play important roles in modulating tumor progression. However, the mechanisms by which redox-regulated tumor progression are largely unknown. We previously demonstrated that reduced intracellular redox conditions could be achieved in stably transfected small cell lung cancer cells with gamma-glutamylcysteine synthetase (gamma-GCSh) cDNA which encodes a rate-limiting enzyme in the biosynthesis of glutathione (GSH), a major physiological redox regulator. In the present study, using DNA microarray analyses, we compared the expression profiles between the gamma-GCSh-transfected cells and their nontransfected counterpart. We observed downregulation of several matrix metalloproteinases (MMPs), i.e., MMPI and MMP3, and MMP10 in the transfected cells. Dot blot and Northern blot hybridizations confirmed that, among the 18 MMP gene family members and four tissue inhibitors of matrix metalloprotein family (TIMP) analyzed, the expression levels of these three MMPs were consistently reduced. Transiently increased gamma-GCSh expression using tetracycline-inducible gamma-GCSh adenoviral expression system also showed down-regulation of MMP3 and MMP10, but not MMP1. Our results demonstrated that redox regulation of MMP1, MMP3 and MMP10 expression depend upon different modes of redox manipulation. These results bear implication that antioxidant modulation of antitumor progression may be contributed at least in part by the downregulation of a subset of metrix metalloproteins.

Blotting, Northern↗

Hierarchical clustering analysis of tissue microarray immunostaining data identifies prognostically significant groups of breast carcinoma.

Prognostically relevant cluster groups, based on gene expression profiles, have been recently identified for breast cancers, lung cancers, and lymphoma. Our aim was to determine whether hierarchical clustering analysis of multiple immunomarkers (protein expression profiles) improves prognostication in patients with invasive breast cancer. A cohort of 438 sequential cases of invasive breast cancer with median follow-up of 15.4 years was selected for tissue microarray construction. A total of 31 biomarkers were tested by immunohistochemistry on these tissue arrays. The prognostic significance of individual markers was assessed by using Kaplan-Meier survival estimates and log-rank tests. Seventeen of 31 markers showed prognostic significance in univariate analysis (P < or = 0.05) and 4 markers showed a trend toward significance (P < or = 0.2). Unsupervised hierarchical clustering analysis was done by using these 21 immunomarkers, and this resulted in identification of three cluster groups with significant differences in clinical outcome. chi2 analysis showed that expression of 11 markers significantly correlated with membership in one of the three cluster groups. Unsupervised hierarchical clustering analysis with this set of 11 markers reproduced the same three prognostically significant cluster groups identified by using the larger set of markers. These cluster groups were of prognostic significance independent of lymph node metastasis, tumor size, and tumor grade in multivariate analysis (P=0.0001). The cluster groups were as powerful a prognostic indicator as lymph node status. This work demonstrates that hierarchical clustering of immunostaining data by using multiple markers can group breast cancers into classes with clinical relevance and is superior to the use of individual prognostic markers.

Adult↗

New molecular approaches to tissue analysis.

The completion of the Human Genome Project will produce new opportunities for analysis of genes and their products in human tissue. The emergence of new technologies will enable investigators to directly examine human tissues for gene deletion, transposition, and amplification. In addition, we will be able to assess the complete gene expression of a tissue by examining the mRNA species using microarray chips. The emerging technologies of laser capture microdissection and RNA amplification enables these procedures to be carried out on groups of a few hundred cells, which will facilitate the examination of heterogeneous lesions. Finally, the application of tissue arrays and the capability of obtaining protein sequences in samples of only a few femtomoles of protein using desorption mass spectroscopy will revolutionize the analysis of protein expression.

Blotting, Northern↗

Comprehensive regional and temporal gene expression profiling of the rat brain during the first 24 h after experimental stroke identifies dynamic ischemia-induced gene expression patterns, and reveals a biphasic activation of genes in surviving tissue.

In order to identify biological processes relevant for cell death and survival in the brain following stroke, the postischemic brain transcriptome was studied by a large-scale cDNA array analysis of three peri-infarct brain regions at eight time points during the first 24 h of reperfusion following middle cerebral artery occlusion in the rat. K-means cluster analysis revealed two distinct biphasic gene expression patterns that contained 44 genes (including 18 immediate early genes), involved in cell signaling and plasticity (i.e. MAP2K7, Sprouty2, Irs-2, Homer1, GPRC5B, Grasp). The first gene induction phase occurred at 0-3 h of reperfusion, and the second at 9-15 h, and was validated by in situ hybridization. Four gene clusters displayed a progressive increase in expression over time and included 50 genes linked to cell motility, lipid synthesis and trafficking (i.e. ApoD, NPC1, G3P-dehydrogenase1, and Choline kinase) or cell death-regulating genes such as mitochondrial CLIC. We conclude that a biphasic transcriptional up-regulation of the brain-derived neurotrophic factor (BDNF)-G-protein coupled receptor (GPCR)-mitogen-activated protein (MAP) kinase signaling pathways occurs in surviving tissue, concomitant with a progressive and persistent activation of cell proliferation signifying tissue regeneration, which provide the means for cell survival and postischemic brain plasticity.

Animals↗

Use of high-throughput arrays for profiling differentially expressed proteins in normal and malignant tissues.

DNA microarrays have provided researchers with a tool to detect differential expression of thousands of genes in a small sample and have clearly revolutionized the way gene expression analysis is now carried out. These microarrays are, however, confined to the detection of gene transcripts and do not permit the analysis of the translational product. This limits their potential use in research, since, after all, proteins are the business end of gene expression and the usual target of drugs. Until recently, protein detection strategies included ELISAs, Western blotting and immunohistochemistry, and were limited to the detection of a couple of proteins of interest. The recent development of protein microarrays now offers the possibility to simultaneously analyze the protein expression of several hundred proteins. Protein arrays allow us to measure the presence, biochemical characteristics and activation state of a considerable number of proteins in a single experiment. However, the formation of complex tertiary/quaternary structures and the interactions between many proteins still pose a veritable challenge for the development of high-throughput protein analysis, which might ultimately allow for the expression analysis of the whole proteome. In this review, we discuss the principle of antibody arrays and pay specific attention to the methodology of different array types. We also present a number of studies that have already shown the clinical utility of high-throughput protein assays, and which exemplify potential applications for this young and extremely promising technology.

Antibodies↗