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A new method to remove hybridization bias for interspecies comparison of global gene expression profiles uncovers an association between mRNA sequence divergence and differential gene expression in Xenopus.

The recent sequencing of a large number of Xenopus tropicalis expressed sequences has allowed development of a high-throughput approach to study Xenopus global RNA gene expression. We examined the global gene expression similarities and differences between the historically significant Xenopus laevis model system and the increasingly used X.tropicalis model system and assessed whether an X.tropicalis microarray platform can be used for X.laevis. These closely related species were also used to investigate a more general question: is there an association between mRNA sequence divergence and differences in gene expression levels? We carried out a comprehensive comparison of global gene expression profiles using microarrays of different tissues and developmental stages of X.laevis and X.tropicalis. We (i) show that the X.tropicalis probes provide an efficacious microarray platform for X.laevis, (ii) describe methods to compare interspecies mRNA profiles that correct differences in hybridization efficiency and (iii) show independently of hybridization bias that as mRNA sequence divergence increases between X.laevis and X.tropicalis differences in mRNA expression levels also increase.

Animals↗

Gene expression profiling of human HBV- and/or HCV-associated hepatocellular carcinoma cells using expressed sequence tags.

Liver cancer is one of the leading causes of cancer death worldwide. To identify novel target genes that are related to liver carcinogenesis, we examined new genes that are differentially expressed in human hepatocellular carcinoma (HCC) cell lines and tissues based on the expressed sequence tag (EST) frequency. Eleven libraries were constructed from seven HCC cell lines and three normal liver tissue samples obtained from Korean patients. An analysis of gene expression profiles for HCC was performed using the frequency of ESTs obtained from these cDNA libraries. Genes were identified (n=120) as being either up- or down-regulated in human liver cancer cells. Among these, 14 genes (FTL, K-ALPHA1, LDHA, RPL4, ENO1, ANXA2, RPL9, RPL10, RPL13A, GNB2L1, AMBP, GC, A1BG, and SERPINC1), in addition to previously well-known liver cancer related genes, were confirmed to be differentially expressed in seven liver cancer cell lines and 17 HCC tissues by semi-quantitative RT-PCR. In addition, 73 genes, in which there was a significant difference (P>0.99) between HBV- and HCV-associated HCC cells, were selected. Of these, expression patterns of 14 (RPLP0, AKR1C, KRT8, GPX4, RPS15, ID1, RPS21, VIM, EEF1G, EIF4A1, HLA-C, FN1, CD44, and RPS10) were confirmed by semi-quantitative RT-PCR in four of HBV- and three of HCV-associated HCC cell lines. Among those genes, an immunohistochemical analysis for ANXA2 showed that it is expressed at high levels in HCC. Using an analysis of EST frequency, the newly identified genes, especially ANXA2, represent potential biomarkers for HCC and useful targets for elucidating the molecular mechanisms associated with HCC involving virological etiology.

Biomarkers, Tumor↗

Molecular characterization of human telomerase reverse transcriptase-immortalized human fibroblasts by gene expression profiling: activation of the epiregulin gene.

Reconstitution of telomerase activity by ectopic expression of telomerase reverse transcriptase (hTERT) results in an immortal phenotype in various types of normal human cells, including fibroblasts. Despite lack of transformation characteristics, it is unclear whether hTERT-immortalized cells are physiologically and biochemically the same as their normal counterparts. Here, we compared the gene expression profiles of normal and hTERT-immortalized fibroblasts by using a cDNA microarray containing 20,736 cDNA clones and identified 172 dysregulated genes or expressed sequence tags (ESTs). One of the highly expressed genes in the hTERT-immortalized fibroblasts (hTERT-BJ cells) encodes epiregulin, a potent growth factor. Blockade of epiregulin reduced the growth of hTERT-BJ cells and colony formation of hTERT-transformed fibroblasts. Moreover, inhibition of epiregulin function in immortal hTERT-BJ cells triggered a senescence program. Our results suggest that both activation of telomerase and subsequent induction of epiregulin are required for sustained cell proliferation. Given the significant difference in gene expression profiles between normal and hTERT-immortalized fibroblasts and the close relationship between epiregulin and tumorigenesis, we conclude that hTERT-immortalized cells may not replace their normal counterparts for studies of normal cell biology and that the use of hTERT for expansion of normal human cells for therapeutic purposes must be approached with caution.

Cell Division↗

Children and adults with acute lymphoblastic leukaemia have similar gene expression profiles.

OBJECTIVES: To compare the gene expression pattern in children and adults with acute lymphoblastic leukaemia (ALL) in order to improve our understanding of the difference in disease biology and prognosis. METHODS: The gene expression profiles in diagnostic samples from 29 children and 15 adults with ALL were analysed using the oligonucleotide chip Hu95ver2a, produced by Affymetrix. RESULTS: Unsupervised hierarchical cluster analysis revealed that, in spite of differences in outcome, patients clustered irrespective of age, first by T-cell or B-precursor immunophenotype, and second by cytogenetic changes within the B-precursor group. The expression pattern analysis allowed the reclassification of some samples into the proper cytogenetic group. We also showed that separate clustering of samples with the BCR/ABL translocation could be explained by different breakpoint regions in the BCR. No significant difference in gene expression was observed between samples with and without CDKN2A deletion within the B-precursor group. Analysis of different age groups revealed a similarity in expression profiles when infants with the MLL translocation and adults over 40 yr of age were compared irrespective of karyotype. CONCLUSIONS: In spite of the difference in clinical outcome, the gene expression pattern in children and adults with ALL is very similar and is primarily dependent on immunophenotype and cytogenetic aberrations. However, when age groups are compared, the expression patterns of infants and adults over 40 show a remarkable similarity.

Adult↗

Gene expression profiling in seminoma and nonseminoma.

PURPOSE: Gene expression profiles of seminoma were compared with nonseminoma to get insights into tumorigenesis. MATERIALS AND METHODS: Eleven testicular tumor biopsies (five pure seminoma, six nonseminoma; pT1N0M0 to pT2N2M1) and biopsies from unaffected sites were analyzed once per patient using a macroarray (1,176 genes). On the same patients, six genes were validated using real-time quantitative (RTQ) polymerase chain reaction (PCR). Additionally, in a separate cohort of 19 patients, 24 genes selected from the macroarray were measured using RTQ-PCR. RESULTS: (1) The agreement in gene expression was 94% between the two methods and two different patient cohorts. (2) Two features in gene expression were independent of the tumor entity: Most changes of gene expression occurred in five functional groups like "cell cycle" and "apoptosis." Genes within these groups were almost similarly (> 80%) up- or downregulated. (3) Nonseminoma were characterized by downregulated genes (75%), but in seminoma, upregulated genes (64%) prevailed. Furthermore, 64.4% of those genes that were differentially expressed in both tumor entities were usually upregulated in seminoma but downregulated in nonseminoma. A reverse pattern was found in 24.4% of such genes. Eleven percent of these genes showed a similar up- or downregulation in gene expression in both tumor entities. CONCLUSION: Seminoma in this preliminary study can be differentiated from nonseminoma due to almost opposing gene expression profiles (89% of the significantly differentially expressed genes) and are in line with the histological discrimination of both tumor entities. Underlying mechanisms and implications regarding the origin and tumor progression of both entities are discussed.

Adolescent↗

Gene expression profiles in HEK-293 cells with low or high store-operated calcium entry: can regulatory as well as regulated genes be identified?

Gene expression profiles were generated using cDNA microarray technology for clones of human embryonic kidney (HEK)-293 cells selected to have either high or low levels of store-operated Ca2+ entry (SOCE). For five high clones, three low clones, and control HEK-293 cells, duplicate Affymetrix U133A human gene arrays were run after extraction of total RNA from cells growing in the presence of serum. Of the approximately 22,000 genes represented on the microarray, 58 genes had readings at least twofold higher, while 32 genes had readings at least twofold lower, in all five high SOCE clones compared with control HEK-293 cells. In the low SOCE clones, 92 genes had readings at least twofold higher, while 58 genes had readings at least twofold lower, than in HEK-293 cells. Microarray results were confirmed for 18 selected genes by real-time RT-PCR analysis; for six of those genes, predicted changes in the low SOCE clone were confirmed by an alternative method, monitoring mRNA levels in HEK-293 with SOCE decreased by expression of small interfering (si)RNA to canonical transient receptor potential protein-1. Genes regulated by SOCE are involved in signal transduction, transcription, apoptosis, metabolism, and membrane transport. These data provide insight into the physiological role of SOCE. In addition, a potential regulator of SOCE, insulin receptor substrate (IRS)-2, has been identified. A reduction of IRS-2 levels by siRNA methods in two high clones dramatically reduced SOCE, whereas overexpression of IRS-2 in a low SOCE clone elevated SOCE.

Apoptosis↗

[The down regulation of VEGF gene expression may link to change the expression profile of genes in leukemia cell line K562].

OBJECTIVE: To explore the potential effects of anti-VEGF hairpin ribozyme gene to gene expression profiles in leukemia cell line K562. METHODS: The lipofectamine mediation was used to transfect the recombinant eukaryotic expression plasmid (pcDNA3-RZ) containing anti-VEGF hairpin ribozyme gene and the non-recombinant vector as control into K562 cells. And the positive clones were screened by G418. Ribozyme gene in K562 cells was confirmed by PCR. Fluorescent real time reverse transcription-PCR(RT-PCR) and Western blotting were employed to detect the expression of VEGF mRNA and protein in leukemia cells. cDNA microarray was used to explore the alteration of gene expression profiles when decreasing VEGF gene expression in leukemia cells. Expression of PCNA and GSN genes were verified by semi-quantitative RT-PCR. RESULTS: The pcDNA3-RZ and pcDNA3 had been transfected into the human leukemia cell line K562 and positive clones been screened by G418. Stable expression of the ribozyme gene in K562 cells was confirmed by PCR. The level of VEGF mRNA and protein decreased dramatically in K562-RZ cells when compared with K562 or K562-PC (K562 cell transfected with empty vector) cells. The gene expression profiles were changed by transfection of anti-VEGF hairpin ribozyme gene into K562 cells. Among 4096 gene clones on the microarray, 191 (4.86%) genes were detected to have the marked changes with 104 down-regulated and 87 up-regulated, that were functionally related to cell cycle progression, gene replication, metabolism, cell apoptosis, cell signal transduction, and oncogenes etc. An increased expression of GSN gene and a decreased expression of PCNA gene in K562/RZ cells have been detected by RT-PCR. CONCLUSION: Down-regulation of VEGF gene by introducing anti-VEGF hairpin ribozyme gene can alter the gene expression profiles in K562 cells, leading to change of cell growth, differentiation and apoptosis in K562/RZ cells.

Down-Regulation↗

Global gene expression profile of human cord blood-derived CD133+ cells.

Human cord blood (CB)-derived CD133+ cells carry characteristics of primitive hematopoietic cells and proffer an alternative for CD34+ cells in hematopoietic stem cell (HSC) transplantation. To characterize the CD133+ cell population on a genetic level, a global expression analysis of CD133+ cells was performed using oligonucleotide microarrays. CD133+ cells were purified from four fresh CB units by immunomagnetic selection. All four CD133+ samples showed significant similarity in their gene expression pattern, whereas they differed clearly from the CD133- control samples. In all, 690 transcripts were differentially expressed between CD133+ and CD133- cells. Of these, 393 were increased and 297 were decreased in CD133+ cells. The highest overexpression was noted in genes associated with metabolism, cellular physiological processes, cell communication, and development. A set of 257 transcripts expressed solely in the CD133+ cell population was identified. Colony-forming unit (CFU) assay was used to detect the clonal progeny of precursors present in the studied cell populations. The results demonstrate that CD133+ cells express primitive markers and possess clonogenic progenitor capacity. This study provides a gene expression profile for human CD133+ cells. It presents a set of genes that may be used to unravel the properties of the CD133+ cell population, assumed to be highly enriched in HSCs.

AC133 Antigen↗

Gene expression profiles of normal human lung cells affected by adenoviral E1B.

Adenoviruses with deletion of E1b gene can selectively replicate in cancer cells. The underlying mechanisms in tumor-selective replication of E1b-deleted adenoviruses are insufficiently understood. Identifying genes with altered expression patterns caused by the E1B proteins in virus-infected cells will further increase our understanding of E1B functions and provide insight into the tumor-selective replication of E1b-mutated adenoviruses on the molecular level. An approach based on large-scale gene array was applied to analyze molecular changes affected by viral E1B. We identified a total of 345 genes with expression changes of two-fold or greater affected by wild-type adenovirus compared with its E1b-deleted counterpart. The gene array data were confirmed by quantitative real-time PCR and Western blot. E1B proteins affect the expression of a diverse range of genes involved in cell cycle regulation, apoptosis, stress responses and angiogenesis. This is the first study of the global profile of gene expression altered by the viral E1B proteins in human lung cells, and the majority of the genes were previously not known to be affected by the viral proteins. The data presented in this study will lead to more detailed analysis of E1B functions and may also lead to development of new agents and approaches for oncolytic therapy.

Adenovirus E1B Proteins↗

[Gene expression profiling of diffuse-type gastric cancer by cDNA microarray].

OBJECTIVE: To identify cancer-related genes in diffuse-type gastric cancer and to explore its molecular mechanism by cDNA microarray analysis. METHODS: A total of 22 pairs of diffuse-type gastric cancer tissue and the corresponding normal mucosa were taken and freshly frozen. cDNA microarray with 14,592 genes/ESTs was used. Genes were considered to be up- or down-regulated when the fluorescent intensity ratio between tumor and normal mucosa was over 2-fold in over 50% of the samples (P < 0.05). Hierarchical clustering of regulated genes was performed as a measure to study expressional similarity. Validation of array results was carried out by real time quantitative PCR (QPCR). RESULTS: Compared with those of corresponding normal mucosa, there were a total of 153 genes/ESTs up-regulated and 204 down-regulated in diffuse-type gastric cancer. Hierarchical clustering demonstrated that the genes belonging to the same subgroup displayed similar function. Most of the overexpressed genes were those related to cell adhesion, cell motility, matrix reconstruction, cell proliferation and/or signal transduction; while genes related to defense response, toxicoid metabolism, DNA repairing, nuclear-cytoplasmic transport and/or anti-apoptosis made up the main list of the underexpressed genes. Seven genes showed higher expression in TNM (T I + T II) group than in (T III + T IV) group. QPCR confirmed the array analysis results. CONCLUSION: Gene expression profiling by cDNA microarray analysis provides not only molecular understanding of biological properties of cancer, but may also be helpful in discovering new diagnostic markers and therapeutic targets in gastric adenocarcinoma.

Adenocarcinoma↗

A multiplex branched DNA assay for parallel quantitative gene expression profiling.

We describe a novel method to quantitatively measure messenger RNA (mRNA) expression of multiple genes directly from crude cell lysates and tissue homogenates without the need for RNA purification or target amplification. The multiplex branched DNA (bDNA) assay adapts the bDNA technology to the Luminex fluorescent bead-based platform through the use of cooperative hybridization, which ensures an exceptionally high degree of assay specificity. Using in vitro transcribed RNA as reference standards, we demonstrated that the assay is highly specific, with cross-reactivity less than 0.2%. We also determined that the assay detection sensitivity is 25,000 RNA transcripts with intra- and interplate coefficients of variance of less than 10% and less than 15%, respectively. Using three 10-gene panels designed to measure proinflammatory and apoptosis responses, we demonstrated sensitive and specific multiplex gene expression profiling directly from cell lysates. The gene expression change data demonstrate a high correlation coefficient (R(2)=0.94) compared with measurements obtained using the single-plex bDNA assay. Thus, the multiplex bDNA assay provides a powerful means to quantify the gene expression profile of a defined set of target genes in large sample populations.

Alternative Splicing↗

Effects of carbonic anhydrase VIII deficiency on cerebellar gene expression profiles in the wdl mouse.

Recently, the waddles (wdl) mouse was identified as a carbonic anhydrase VIII (Car8) mutant. The mutation is associated with marked deficiency of Car8, an inositol triphosphate receptor 1-binding protein expressed at high levels in cerebellar Purkinje cells. To help unravel the molecular aberrations contributing to motor dysfunction in wdl mice, cerebellar gene expression profiles were examined in the mutants and their wild-type littermates. Genes involved in signaling, cell division, zinc ion-binding, synapse integrity and plasticity were downregulated in wdl mice. Several of the upregulated genes encode proteins that function in the Golgi apparatus which suggests that Car8 deficiency has important effects on synaptic vesicle formation and transport.

Animals↗

[DNA microarrays and papillary thyroid carcinoma gene expression profile].

The paper presents gene expression profile analysis with DNA microarrays and compares two core technological platforms used for this purpose - high density oligonucleotide microarrays and cDNA microarrays. With this background recent results of papillary thyroid carcinoma analysis with DNA microarrays are presented.

Animals↗

Ascidian gene-expression profiles.

With the advent of gene-expression profiling, a large number of genes can now be investigated simultaneously during critical stages of development. This approach will be particularly informative in studies of ascidians, basal chordates whose genomes and embryology are uniquely suited for mapping developmental gene networks.

Animals↗

Gene expression profiling of cathepsin D, metallothioneins-1 and -2, osteopontin, and tenascin-C in a mouse spinal cord injury model by cDNA microarray analysis.

The purpose of this study was to use a cDNA microarray to identify new genes involved in healing of spinal cord injury. C57BL/6 mice (7-8 weeks, male) were subjected to spinal cord compression injury (SCI) at the T7/8 level (20 g, 5 min; SCI group). For the control group, mice underwent only laminectomy. Mice were killed at 1, 3 and 7 days. cDNA transcribed from mRNA was hybridized to NIA mice 15K microarrays at each time point. We found 84 genes showing significant expressional changes, including higher and lower expression levels in the SCI groups than in the control [more than 1.0 or less than -1.0 using log ratio (base 2)]. Five genes were selected for further quantitative gene expression analysis by real-time reverse transcription (RT)-PCR. For histological examination, we applied in situ hybridization and fluorescence immunohistochemistry. Cathepsin D, metallothionein-1 (MT-1), metallothionein-2 (MT-2), osteopontin (OPN), and tenascin-C were selected for quantitative and histological analysis. Microarray analysis revealed that SCI led to the up-regulation of OPN and cathepsin D expression at 7 days and also of MT-1, MT-2, and tenascin-C expression at 1 day. Tenascin-C was re-up-regulated at 7 days. These values agreed with those of real-time RT-PCR analysis. By double labeling with in situ hybridization and fluorescence immunohistochemistry, MT-1, MT-2 and tenascin-C expression was observed in neurons and glial cells at 1 day, whereas at 7 days the main MT-2 and tenascin-C expression was found in fibronectin-positive fibroblasts. The main cathepsin D and OPN expression was observed in activated macrophages/microglia at 3 and 7 days. The five genes picked up by microarray gene expression profiling were shown to exhibit temporal and spatial changes of expression after SCI. This system is potentially useful for identifying genes that are involved in the response to SCI.

Animals↗

Gene expression profiling in lymph node-positive and lymph node-negative colorectal cancer.

PURPOSE: To identify the genes involved in the carcinogenesis and progression of colorectal cancer, we analyzed the gene-expression profiles of colorectal cancer cells from 12 tumors with corresponding noncancerous colonic epithelia using a cDNA microarray representing 4,08 genes. METHODS: We classified both samples and genes by using a two-way clustering analysis and identified genes that were differentially expressed in the cancerous and noncancerous tissues. Genes associated with lymph node metastasis were identified by means of the supervised learning technique. RESULTS: Differentially expressed genes (77 up-regulated and 45 down-regulated genes) were identified in more than 75 percent of the tumors. The functional categories of these genes belonged to signal transduction (19 percent), metabolism (17 percent), cell structure/motility (14 percent), cell cycle (13 percent), and gene protein expression (13 percent). The gene expression pattern of reverse transcriptase polymerase chain reaction (RT-PCR) results from randomly selected genes shows a pattern similar to that of cDNA microarray. Moreover, the gene expression patterns observed were similar to those reported previously, suggesting rare racial differences. Sixty genes possibly associated with lymph node metastasis in colorectal cancer were selected on the basis of clinicopathological data obtained by performing signal-to-noise calculations. "Leave-one-out" cross-validation testing correctly classified 10 of 12 patients (83.3 percent) as having colorectal cancer with lymph node metastasis vs. those without metastasis. CONCLUSIONS: These results provide not only a new molecular basis for understanding the biologic properties of colorectal cancer, including lymph node metastasis, but also provide a resource for future development of therapeutic targets and diagnostic markers for colorectal cancer.

Adenocarcinoma↗

Integration of HapMap-based SNP pattern analysis and gene expression profiling reveals common SNP profiles for cancer therapy outcome predictor genes.

Recent completion of the initial phase of a haplotype map of human genome (www.hapmap.org) provides opportunity for integrative analysis on a genome-wide scale of microarray-based gene expression profiling and SNP variation patterns for discovery of cancer-causing genes and genetic markers of therapy outcome. Here we applied this approach for analysis of SNPs of cancer-associated genes, expression profiles of which predicts the likelihood of treatment failure and death after therapy in patients diagnosed with multiple types of cancer. Unexpectedly, this analysis reveals a common SNP pattern for a majority (60 of 74; 81%) of analyzed cancer treatment outcome predictor (CTOP) genes. Our analysis suggests that heritable germ-line genetic variations driven by geographically localized form of natural selection determining population differentiations may have a significant impact on cancer treatment outcome by influencing the individual's gene expression profile. We demonstrate a translational utility of this approach by building a highly informative CTOP algorithm combining prognostic power of multiple gene expression-based CTOP models derived from signatures of oncogenic pathways associated with activation of BMI1; Myc; Her2/neu; Ras; beta-catenin; Suz12; E2F; and CCND1 oncogenes. Application of a CTOP algorithm to large databases of early-stage breast and prostate tumors identifies cancer patients with 100% probability of a cure with existing cancer therapies as well as patients with nearly 100% likelihood of treatment failure, thus providing a clinically feasible framework essential for introduction of rational evidence-based individualized therapy selection and prescription protocols. Our analysis indicates that genetic determinants of human disease susceptibility and severity are encoded by population differentiation SNP variants. Evolution of these SNPs is driven by geographically-localized form of natural selection causing population differentiation. Recent analysis identifies a class of SNPs regulating gene expression in normal individuals and likely determining unique genome-wide expression profiles of each individual. We propose that critical disease-causing combinations of SNP variants arise from SNPs regulating mRNA levels and determining genome-wide haplotype patterns of individual's disease susceptibility.

Biomarkers, Tumor↗

Gene expression profiling following in utero exposure to phthalate esters reveals new gene targets in the etiology of testicular dysgenesis.

Male reproductive tract abnormalities associated with testicular dysgenesis in humans also occur in male rats exposed gestationally to some phthalate esters. We examined global gene expression in the fetal testis of the rat following in utero exposure to a panel of phthalate esters. Pregnant Sprague-Dawley rats were treated by gavage daily from Gestational Days 12 through 19 with corn oil vehicle (1 ml/kg) or diethyl phthalate (DEP), dimethyl phthalate (DMP), dioctyl tere-phthalate (DOTP), dibutyl phthalate (DBP), diethylhexyl phthalate (DEHP), dipentyl phthalate (DPP), or benzyl butyl phthalate (BBP) at 500 mg/kg per day. Testes were isolated on Gestational Day 19, and global changes in gene expression were determined. Of the approximately 30 000 genes queried, expression of 391 genes was significantly altered following exposure to the developmentally toxic phthalates (DBP, BBP, DPP, and DEHP) relative to the control. The developmentally toxic phthalates were indistinguishable in their effects on global gene expression. No significant changes in gene expression were detected in the nondevelopmentally toxic phthalate group (DMP, DEP, and DOTP). Gene pathways disrupted include those previously identified as targets for DBP, including cholesterol transport and steroidogenesis, as well as newly identified pathways involved in intracellular lipid and cholesterol homeostasis, insulin signaling, transcriptional regulation, and oxidative stress. Additional gene targets include alpha inhibin, which is essential for normal Sertoli cell development, and genes involved with communication between Sertoli cells and gonocytes. The common targeting of these genes by a select group of phthalates indicates a role for their associated molecular pathways in testicular development and offers new insight into the molecular mechanisms of testicular dysgenesis.

Animals↗