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Gene expression profiles of human BPH (II): Optimization of laser-capture microdissection and utilization of cDNA microarray.

Laser capture microdissection (LCM) enables the dissection of heterogeneous components of tissues, helping to investigate the molecular properties of these tissues. We have reported gene expression profiles in human benign prostatic hyperplasia (BPH) using LCM and quantitative real-time PCR. In the current work, we extended the previous observations. Firstly, we studied the relationship between the number of dissected acini and amplification by PCR, and found that androgen receptor (AR) and 18S rRNA transcripts were successfully amplified from total RNA obtained from one prostate acinus. Furthermore, LCM-dissected samples were applicable to methylation-specific PCR of E-cadherin promoter gene after bisulfite modification of genomic DNA. Next, we performed cDNA microarray analysis to screen gene expression profiles in the epithelium and stroma. RNA was amplified by T7-RNA polymerase and labeled with Cy3 and Cy5. Epithelium-related or stroma-related genes were identified through cDNA microarray. We confirmed true gene expression levels by quantitative real-time PCR. In epithelium, E-cadherin and serine protease 2, Kunitz-type gene expression levels were significantly elevated, while the connective tissue growth factor gene expression level was significantly elevated in stroma. Thus, LCM-dissected samples were applicable to various molecular examinations including methylation-specific PCR and cDNA microarray, and this will contribute to a precise understanding of the molecular profiles of prostate glands.

DNA↗

PubMed2005

Laparoscopic donor nephrectomy gene expression profiling reveals upregulation of stress and ischemia associated genes compared to control kidneys.

We compared gene expression profiles from six donor kidneys prior to surgical manipulation to six kidneys removed after laparoscopic donor nephrectomy (LDN) and several hours of CO2 pneumoperitoneum. Biopsies were obtained from renal cortex and hybridized to Affymetrix HG-U133A GeneChips. For control kidneys, we identified 1380 genes present on all six samples that had a signal intensity >1,000. Functional classification of these revealed genes for cellular signaling (201; 15%), regulation of transcription (156; 11%), cellular transport (144; 10%) and cellular metabolism (111; 8%). A class comparison between the controls and LDN kidneys yielded 865 differentially expressed genes. Functional classification of the 502 genes differentially upregulated in LDN kidneys identified associations with apoptosis, cell adhesion, cell signaling, regulation of cell growth/proliferation, immune/inflammation, ischemia/stress response and proteolysis/peptidolysis. These data demonstrate an altered renal transcriptome induced by several hours of CO2 pneumoperitoneum and laparoscopic surgery characterized by upregulation of ischemia and injury associated genes.

Adult↗

PubMed2005

Gene expression profiling during the embryonic development of mouse brain using an oligonucleotide-based microarray system.

We analyzed gene expression profiles in embryonic day 12, 15, 18 and postnatal day 0 mouse brains by utilizing a GeneChip microarray. Significant differential expression was observed in 1413 of 12,422 (11.4%) represented on the chip. Then, 397 genes known to be related to neural development and functions were selected and analyzed in more detail. Clustering of the differentially expressed genes in terms of gene function and their temporal expression patterns indicated an aspect of the genetic foundation that underlies cellular events. Moreover, we identified a novel gene that encodes a putative protein kinase, Ebr kinase, which is differentially expressed in the developing brain.

Age Factors↗

PubMed2003

Expression profiling and identification of novel genes involved in myogenic differentiation.

Skeletal muscle differentiation is a complex, highly coordinated process that relies on precise temporal gene expression patterns. To better understand this cascade of transcriptional events, we used expression profiling to analyze gene expression in a 12-day time course of differentiating C2C12 myoblasts. Cluster analysis specific for time-ordered microarray experiments classified 2895 genes and ESTs with variable expression levels between proliferating and differentiating cells into 22 clusters with distinct expression patterns during myogenesis. Expression patterns for several known and novel genes were independently confirmed by real-time quantitative RT-PCR and/or Western blotting and immunofluorescence. MyoD and MEF family members exhibited unique expression kinetics that were highly coordinated with cell-cycle withdrawal regulators. Among genes with peak expression levels during cell cycle withdrawal were Vcam1, Itgb3, Itga5, Vcl, as well as Ptger4, a gene not previously associated with the process of myogenesis. One interesting uncharacterized transcript that is highly induced during myogenesis encodes several immunoglobulin repeats with sequence similarity to titin, a large sarcomeric protein. These data sets identify many additional uncharacterized transcripts that may play important functions in muscle cell proliferation and differentiation and provide a baseline for comparison with C2C12 cells expressing various mutant genes involved in myopathic disorders.

Animals↗

PubMed2006

Gene expression profiling of bovine skeletal muscle in response to and during recovery from chronic and severe undernutrition.

Gene expression profiles of LM from beef cattle that underwent significant postweaning undernutrition were studied using complementary DNA (cDNA) microarrays. After 114 d of undernutrition, the RNA from LM showed 2- to 6-fold less expression of many genes from the classes of muscle structural proteins, muscle metabolic enzymes, and extracellular matrix compared with animals on a rapid growth diet. The expression levels of these genes had mostly returned to pretreatment levels after 84 d of realimentation. The gene expression changes associated with undernutrition and BW loss showed an emphasis on downregulation of gene expression specific to fast-twitch fibers, typical of starving mammals, with a preferential atrophy of glycolytic fast-twitch fibers. We also identified a small group of genes that showed 2- to 5-fold elevated expression in LM after 114 d of undernutrition. Putative roles for these genes in atrophying skeletal muscle are regulation of myogenic differentiation (CSRP3), maintenance of mesenchymal stem cells (CYR61), modulation of membrane function (TM4SF2), prevention of oxidative damage (SESN1), and regulation of muscle protein degradation (SQSTM1). A significant increase in stearoyl-CoA desaturase (SCD) gene expression was observed in atrophying muscle, suggesting either that increased fatty acid synthesis is part of the tissue response to caloric restriction, or that SCD plays another role in energy metabolism in the mixed cellular environment of bovine skeletal muscle.

Animal Feed↗

PubMed2005

Gene expression profiling of gastric cancer by microarray combined with laser capture microdissection.

AIM: To examine the gene expression profile of gastric cancer (GC) by combination of laser capture microdissection (LCM) and microarray and to correlate the profiling with histological subtypes. METHODS: Using LCM, pure cancer cells were procured from 45 cancerous tissues. After procurement of about 5000 cells, total RNA was extracted and the quality of RNA was determined before further amplification and hybridization. One microgram of amplified RNA was converted to cDNA and hybridized to cDNA microarray. RESULTS: Among 45 cases, only 21 were qualified for their RNAs. A total of 62 arrays were performed. These included 42 arrays for cancer (21 cases with dye-swab duplication) and 20 arrays for non-tumorous cells (10 cases with dye-swab duplication) with universal reference. Analyzed data showed 504 genes were differentially expressed and could distinguish cancerous and non-cancerous groups with more than 99% accuracy. Of the 504 genes, trefoil factors 1, 2, and 3 were in the list and their expression patterns were consistent with previous reports. Immunohistochemical staining of trefoil factor 1 was also consistent with the array data. Analyses of the tumor group with these 504 genes showed that there were 3 subgroups of GC that did not correspond to any current classification system, including Lauren's classification. CONCLUSION: By using LCM, linear amplification of RNA, and cDNA microarray, we have identified a panel of genes that have the power to discriminate between GC and non-cancer groups. The new molecular classification and the identified novel genes in gastric carcinogenesis deserve further investigations to elucidate their clinicopathological significance.

Gene Expression Profiling↗

PubMed2005

RNA expression profiling of normal and tumor cells following photodynamic therapy with 5-aminolevulinic acid-induced protoporphyrin IX in vitro.

Photodynamic therapy using 5-aminolevulinic acid-induced protoporphyrin IX synthesis as a photosensitizing reagent is an encouraging modality for cancer treatment. Understanding the mechanism of tumor phototoxicity is important to provide a basis for combinatory therapy regimens. A normal cell line (UROtsa, urothelial) and two tumor cell lines (RT4, urothelial; HT29, colonic) were treated with cell line-specific LD50 doses of light after exposure to 5-aminolevulinic acid (100 microg/mL), and harvested for RNA extraction 0, 10, and 30 minutes after irradiation. The RNA was hybridized to the metg001A Affymetrix GeneChip containing 2,800 genes, focusing on cancer-related and growth regulatory targets. Comparing the gene expression profiles between the different samples, 40 genes (e.g., SOD2, LUC7A, CASP8, and DUSP1) were identified as significantly altered in comparison with the control samples, and grouped according to their gene ontology. We selected caspase-8 (CASP8) and dual specificity phosphatase 1 (DUSP1) for further validation of the array findings, and compared their expression with the expression of the immediate early gene FOS by quantitative reverse transcription-PCR. RNA expression of CASP8 stayed unchanged whereas DUSP1 RNA was up-regulated in normal and tumor cells starting 30 minutes after irradiation. In contrast, FOS RNA was found continuously up-regulated over time in all three cell lines. Induction of DUSP1 protein expression was clearly shown after 1 hour using Western blot analysis. Interestingly, no changes of caspase-8 protein expression but activation of catalytic activity was detected only in UROtsa cells starting 1 hour after photodynamic therapy, whereas no changes were seen in both tumor cell lines. According to caspase-8, the active caspase 3 fragment was found only in the normal urothelial cell line (UROtsa) 1 hour after photodynamic therapy. Combined data analysis suggests that photodynamic therapy in vitro (LD50) leads to apoptosis in UROtsa and to necrosis in the tumor cell lines, respectively. RNA expression profiling of normal and tumor cell lines following photodynamic therapy with 5-aminolevulinic acid gave insight into the major molecular mechanisms induced by photodynamic therapy.

Aminolevulinic Acid↗

PubMed2006

Methodologies for high-throughput expression profiling of microRNAs.

MicroRNAs (miRNAs) have recently emerged as important regulators of gene expression controlling central biological processes. These small, approx 22-nucleotide (nt)-long RNA molecules induce translational suppression when they are imperfectly matched to their target messenger RNA (mRNA) or direct mRNA cleavage when perfectly, or nearly perfectly, matched to their target. Direct roles in developmental processes have been described in a variety of species, and involvement in human diseases, such as cancer and diabetes, has been implied. These studies highlight the need to obtain detailed expression profiles of miRNAs in tissues, during development, and in disease. Their small size and the existence of miRNA families of related sequences pose critical problems in approaching expression analysis of miRNAs, especially using high-throughput approaches. All methodologies presented here address the special requirements for the analysis of miRNA expression using a variety of platforms, including cloning, microarrays, and microbeads. The different variables, as well as the different approaches, used by various laboratories are detailed and general recommendations are provided.

Animals↗

PubMed2003

Transcriptional gene expression profile of human esophageal squamous cell carcinoma.

To identify the genes involved in esophageal carcinogenesis, we compared gene expression profiles in esophageal squamous cell carcinoma (ESCC) and matched normal esophageal epithelial tissues. Differential display analysis revealed significant changes in the expression of 26 genes; 21 genes were upregulated and 5 genes were downregulated. The differentially expressed genes included those associated with cellular metabolism, cell structure, transcription, proliferation, apoptosis, signal transduction, complement pathway, and cell-cell adhesion. The differential expression of these genes was confirmed by reverse Northern blot analysis. Reverse transcription PCR analysis of ESCC and matched normal esophageal tissues provided the first evidence that melanoma metastasis clone D (MEMD), a gene similar to oncostatin M receptor beta, and KIAA0471 gene products are upregulated in ESCCs. Intriguingly, KIAA0471, a novel gene product, is upregulated in esophageal tumors showing nodal invasion. Identification of these differentially expressed genes in esophageal tumors adds to the repertoire of genes associated with esophageal carcinogenesis and they may thus serve as potential novel molecular targets for diagnosis and therapy. Further characterization of known and unknown differentially expressed cDNAs identified in this study may provide significant clues for understanding the molecular mechanisms underlying esophageal tumorigenesis.

Adult↗

PubMed2006

Expression profilings of 39 genes selected by ANOVA could separate precursors of murine dendritic cells and macrophages.

Dendritic cells (DCs) and macrophages share some stages in the development and function of antigen presentation. But it is difficult to separate them from their precursors. We used one-way ANOVA (analysis of variances) on murine expression profilings of several hematopoietic cells associated with DCs and macrophages to find the genes with great differences across the cell groups. These groups were the DCs from spleen, cultivated DCs, DC precursors, DC progenitors, DC progenitor cell lines, hematopoietic stem cell (HSC), and bone marrow-derived macrophages. The data of expression profilings were all downloaded from GEO and ArrayExpress database. After the normalization of 11 housekeeping genes across 42 arrays, we got 39 genes (44 probesets) by analysis of one-way ANOVA (Bonferroni step-down) with p values cutoff of 0.05. These genes (probesets) could separate the hematopoietic cells well by the methods of unsupervised hierarchical clustering and principal component analysis (PCA). The class prediction also indicated that these genes could separate the precursors of DC and macrophages with 20 arrays composed of 5 cell types with the same normalization. The accuracy rate of class prediction was 90% (18/20). The genes selected by one-way ANOVA included those of MHC (major histocompatibility complex) and defense of immunity, cell adhesion, chemokine or its receptors, and transcription factors. The results indicated that these 39 genes could separate precursors of DC and macrophages very clearly. It was suggested that these genes might represent some important molecules that related with the precursors of DCs and macrophages, and were worthy for further study.

Animals↗

PubMed2006

The effects of neuronal induction on gene expression profile in bone marrow stromal cells (BMSC)--a preliminary study using microarray analysis.

Bone marrow stromal cells (BMSC) have been anticipated as a donor for cell type for transplantation therapy in various neurological disorders. However, their neurogenic capacity still remains undetermined. In this study, we aimed to clarify whether in vitro chemical treatment promotes their neuronal differentiation on the level of gene expression. Mice BMSC were cultured with medium supplemented with DMSO, retinoic acid, and basic fibroblast growth factor, and their morphology and expression of neuronal markers were evaluated. Subsequently, using microarray and RT-PCR techniques, the treatment-induced changes in the gene expression profile were analyzed. After exposure to the medium, the BMSC simulated a neuron-like appearance and increased their immunoreactivity for nestin and Tuj-1. Microarray analysis revealed that the BMSC per se express the multilineage cellular genes, including those associated with the neuron. Chemical treatment significantly decreased the expression of genes related to mesenchymal cells and increased the expression of 5 neuron-associated genes. Microarray and RT-PCR analyses also demonstrated that the BMSC express the genes for several growth factors including NGF-beta and BDNF, indicating their therapeutic role in protecting the injured central nervous system. The present results suggest that at least a certain subpopulation of the BMSC have the potential to alter their gene expression profile in response to the surrounding environment and may possibly protect the host tissue by secreting neuroprotective factors.

Animals↗

PubMed2003

Biological threat detection via host gene expression profiling.

With the increased threat posed by biological weapons, detection techniques for biothreat pathogens are critically needed to monitor and assess the severity of the illness once exposure has occurred. Current approaches for detecting biological threats are either time-consuming or highly specific but provide little information regarding pathogenicity. Genotyping of pathogens by PCR provides a fast and definitive means for identifying pathogens, but reliance on pathogen genotypic endpoints has several limitations. Current progress in DNA microarrays technology provides an alternative way to address the issues faced by traditional detection systems through host gene expression profiles of peripheral blood cells. We discuss the advantages and critical issues facing the use of host gene expression profiling for biological threat detection.

Bioterrorism↗

PubMed2004

Gene expression profiling of purified rat retinal ganglion cells.

PURPOSE: The phenotype of specialized cells arises, in part, from their characteristic gene expression patterns. Retinal ganglion cells (RGCs) are of wide interest in neuroscience and die in glaucoma and other optic neuropathies. In this study the genes expressed by RGCs were profiled by expressed sequence tag (EST) analysis. METHODS: ESTs were generated from a cDNA library constructed from RGCs isolated by immunopanning. The RGC genes were compared with published microarray expression profiles from 13 different neural regions. Immunohistochemistry was performed by standard methods. RESULTS: Clustering of 4791 RGC ESTs identified 2360 unique gene clusters. Of these, 60% represented known genes, 27% uncharacterized genes/ESTs, and 13% novel sequence. Unexpectedly, one of the largest RGC clusters, RESP18, corresponded to a neuroendocrine-specific gene preferentially expressed in the hypothalamus. RESP18 immunoreactivity within the retina was found mainly in the RGC layer. DDAH1, a gene involved in nitric oxide metabolism, was localized to RGC and amacrine layers. Comparison of gene expression patterns across neuronal regions revealed a prominent subset of RGC genes that were overexpressed in dorsal root and trigeminal ganglia. To narrow the search for candidate disease-related genes, RGC genes were mapped to known disease loci for optic neuropathies. CONCLUSIONS: This work is one of the first efforts to profile gene expression in a purified population of retinal neurons, the RGCs. The profiling, in addition to revealing both known and novel genes underlying the RGC phenotype, also uncovered common patterns of gene expression between RGCs and other sensory ganglia.

Animals↗

PubMed2001

Identification of gene expression profiles that predict the aggressive behavior of breast cancer cells.

With the goal of identifying genes that have an expression pattern that can facilitate the diagnosis of primary breast cancers (BCs) as well as the discovery of novel drug leads for BC treatment, we used cDNA hybridization arrays to analyze the gene expression profiles (GEPs) of nine weakly invasive and four highly invasive BC cell lines. Differences in gene expression between weakly and highly invasive BC cells were identified that enabled the definition of consensus GEPs for each invasive phenotype. To determine whether the consensus GEPs, comprising 24 genes, could be used to predict the aggressiveness of previously uncharacterized cells, gene expression levels and comparative invasive and migratory characteristics of nine additional human mammary epithelial cell strains/lines were determined. The results demonstrated that the GEP of a cell line is predictive of its invasive and migratory behavior, as manifest by the morphology of its colonies when cultured on a matrix of basement membrane constituents (i.e., Matrigel). We found that the expression of keratin 19 was consistently elevated in the less aggressive BC cell lines and that vimentin and fos-related antigen-1 (FRA-1) were consistently overexpressed in the more highly aggressive BC cells. Moreover, even without these three genes, the GEP of a cell line still accurately predicted the aggressiveness of the BC cell, indicating that the expression pattern of multiple genes may be used as BC prognosticators because single markers often fail to be predictive in clinical specimens.

Animals↗

PubMed2002

Understanding inner ear development with gene expression profiling.

Understanding the development of the inner ear requires knowing the spatial and temporal pattern of gene expression, and the functions of those gene products. In the last decade, hearing research has benefited tremendously from the progress of the human and mouse genome projects, as amply illustrated by the identification of many deafness genes in both human and mouse. However, the sheer amount of information generated from the genome project has far outpaced the rate at which it is utilized. Microarray technology offers a means to quantify the expression level of transcripts at a whole-genome scale. Cross-tissue comparisons will identify genes unique to the inner ear, which will expedite the identification of new deafness genes. Microdissection and subtraction after ablation of cell types can reveal genes expressed in certain cells, such as hair cells. Expression profiling of both inner ear and other tissues, under a variety of conditions (such as during development, with drug treatment or in knock-out animals), can be used for cluster analysis to group genes of similar expression. Coexpression can suggest functional pathways and interactions between known genes, and can identify new genes in a structure or pathway. In this review we give examples for both transcription factors and cochlear structures.

Animals↗

PubMed2004

Gene expression profiling of chemically induced rat mammary gland cancer.

Exposure to carcinogens through diet, the atmosphere and other means is generally regarded as influencing human cancer risk, but the impact of specific environmental carcinogens on human breast cancer incidence is still unknown. We examined whether distinct chemical carcinogens induce a unique transcriptional profile in mammary gland cancer that is characteristic of the etiologic agent. Rat mammary gland cancers (n = 34) were generated by various carcinogens, including the food-derived heterocyclic amines 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine and 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline, 7,12-dimethylbenz[a]anthracene, N-nitrosomethylurea and 4-aminobiphenyl. The histopathology of the carcinomas was graded using a modified Scarff-Bloom-Richardson scheme and the gene expression profiles in the carcinomas were evaluated on a 10K cDNA microarray. Unsupervised hierarchical clustering analysis revealed two major clusters of carcinomas irrespective of the carcinogenic agent that distinguished two groups with different histopathological parameters (degree of differentiation, nuclear grade, mitotic activity, epithelial cell growth pattern and necrosis). Using class comparison analysis and hierarchical clustering of all carcinomas irrespective of histopathology, gene expression profiles were further shown to be statistically differentially expressed according to the carcinogenic agent. These findings indicate that the transcriptional program in carcinomas is unique to the etiologic agent and can be observed among a diverse set of carcinogens despite variations in carcinoma histopathology. The ability to use microarray analysis to discern an etiology-specific profile among a pathologically heterogeneous group of breast carcinomas may ultimately be valuable in determining the role of environmental chemical carcinogens in human breast cancer risk.

Animals↗

PubMed2004

[Changes in gene expression profiles of hydatidiform mole and choriocarcinoma as compared with trophoblast hyperplasia].

OBJECTIVE: To study the relationship of changes in gene expression profiles of hydatidiform mole and choriocarcinoma with hyperplasia of trophoblasts. METHODS: The differentially expressed genes were analyzed in two pairs of tissues of hydatidiform mole versus normal villi, and in two pairs of normal primary culture trophoblasts versus JAR cell line of chariocarcinoma, using cDNA microarray containing 4096 genes. To confirm the results of cDNA microarray analysis, expressions of some up-regulated genes related to DNA synthesis in normal villi, hydatidiform mole, and 2 choriocarcinoma cell lines (JAR and JEG-3) were examined by immunohistochemistry, immunoblotting and RT-PCR. RESULTS: A total of 89 genes were differentially expressed in all hydatidiform moles, accounting for 2.2% of the genes arrayed. Of the 89 genes, 24 were up-regulated and 65 were down-regulated. Compared with normal primary trophoblasts, there were 433 genes up-regulated and 380 genes down-regulated in JAR cell line. Forty six genes were up-regulated in both hydatidiform mole and choriocarcinoma, while 13 genes were down-regulated. Some genes associated with cell proliferative inhibition were significantly down-regulated, whereas those associated with cell proliferation, malignant transformation, metastasis and drug resistance were highly up-regulated. The expressions of thymidine kinase 1, the small subunit of ribonucleotide reductase (RRM2) were significantly increased in hydatidiform mole, JAR and JEG-3 cells. CONCLUSION: Abnormal expression of genes exists in hydatidiform mole and choriocarcinoma. Hyperplasia of trophoblasts may be related to over-expression of genes coding for synthetic enzymes.

Adult↗

PubMed2003

Expression profiling targeting chromosomes for tumor classification and prediction of clinical behavior.

Tumors are associated with altered or deregulated gene products that affect critical cellular functions. Here we assess the use of a global expression profiling technique that identifies chromosome regions corresponding to differential gene expression, termed comparative expressed sequence hybridization (CESH). CESH analysis was performed on a total of 104 tumors with a diagnosis of rhabdomyosarcoma, leiomyosarcoma, prostate cancer, and favorable-histology Wilms tumors. Through the use of the chromosome regions identified as variables, support vector machine analysis was applied to assess classification potential, and feature selection (recursive feature elimination) was used to identify the best discriminatory regions. We demonstrate that the CESH profiles have characteristic patterns in tumor groups and were also able to distinguish subgroups of rhabdomyosarcoma. The overall CESH profiles in favorable-histology Wilms tumors were found to correlate with subsequent clinical behavior. Classification by use of CESH profiles was shown to be similar in performance to previous microarray expression studies and highlighted regions for further investigation. We conclude that analysis of chromosomal expression profiles can group, subgroup, and even predict clinical behavior of tumors to a level of performance similar to that of microarray analysis. CESH is independent of selecting sequences for interrogation and is a simple, rapid, and widely accessible approach to identify clinically useful differential expression.

Breast Neoplasms↗