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PubMed2005

Gene expression profile analysis of mouse colon embryonic development.

During late embryogenesis, the mouse colon develops from a pseudostratified, undifferentiated endoderm to a single-layered columnar epithelium with accompanying mesenchymal maturation. To identify regulatory genetic programs underlying these morphological changes, we profiled gene expression of the developing mouse colon by microarray from embryonic day (E)13.5 to E18.5. Unbiased cluster analysis of 13,484 cDNA elements revealed two distinct groups of genes whose expression changes reflect the dynamic morphological events of the epithelium and mesenchyme during this period. Additional analyses revealed two subsets of genes whose expression is either upregulated or downregulated over the same developmental period. Of those genes whose expression increases from E13.5 to E18.5 (n = 158), known functions include acquisition and/or maintenance of colonic differentiation. Genes whose transcription is downregulated over this period (n = 49) have demonstrated roles in nuclear organization, transcriptional regulation, and cell proliferation. These results provide the basis for a molecular portrait of colonic development during late embryogenesis and should be a valuable resource for investigators interested in colonic development and neoplasia, as well as comparative organogenesis.

Animals↗

PubMed2002

Expression profiling of B cell chronic lymphocytic leukemia suggests deficient CD1-mediated immunity, polarized cytokine response, altered adhesion and increased intracellular protein transport and processing of leukemic cells.

We used oligonucleotide microarrays to profile the expression of chronic lymphocytic leukemia (CLL) B cells from eight patients compared with CD5-expressing normal B cells from four donors and with pooled normal circulating B cells. Of 6790 genes examined, we identified 87 genes that were differentially expressed at least two-fold between CLL and the normal B cells. CLL cells significantly down-regulated transcripts from CD1c and CD1d genes, which encode proteins known to present lipid antigen and mediate innate and adaptive immunity. The expression pattern was also consistent with reduced signaling by interferon gamma but increased response to interleukin 4 in leukemic cells. CLL cells increased the expression of several collagen-associated extracellular matrix and adhesion molecules, up-regulated many genes involved in intracellular protein transport and processing, while downregulating genes involved in proliferation and metabolism. Based on the expression pattern, we propose that CLL-B cells prolong their survival through increased interaction with survival factors such as IL-4, and through various mechanisms of evading the immune response, such as turning off the expression of CD1c and CD1d, reducing immunogenic response to interferon gamma, inactivating T cell in B-T interaction and increasing the expression of immunoglobulin receptors which neutralize antibody-dependent cell-mediated cytotoxicity.

Adult↗

PubMed2000

Microarray expression profiling identifies genes with altered expression in HDL-deficient mice.

Based on the assumption that severe alterations in the expression of genes known to be involved in high-density lipoprotein (HDL) metabolism may affect the expression of other genes, we screened an array of >5000 mouse expressed sequence tags for altered gene expression in the livers of two lines of mice with dramatic decreases in HDL plasma concentrations. Labeled cDNA from livers of apolipoprotein AI (apoAI)-knockout mice, scavenger receptor BI (SR-BI) transgenic mice, and control mice were cohybridized to microarrays. Two-sample t statistics were used to identify genes with altered expression levels in the knockout or transgenic mice compared with control mice. In the SR-BI group we found nine array elements representing at least five genes that were significantly altered on the basis of an adjusted P value < 0.05. In the apoAI-knockout group, eight array elements representing four genes were altered compared with the control group (adjusted P < 0.05). Several of the genes identified in the SR-BI transgenic suggest altered sterol metabolism and oxidative processes. These studies illustrate the use of multiple-testing methods for the identification of genes with altered expression in replicated microarray experiments.

Animals↗

PubMed2000

Gene expression profile in mouse myocardium after ischemia.

This study was designed to elaborate a molecular profile of expressed genes during ischemic injury to the mouse heart after surgical constriction of the left coronary artery without reperfusion. A mouse cDNA array containing 588 known genes was used to compare gene expression in heart RNA after 24-h ischemia with control tissue. Alterations in gene expression on the array were supported by relative reverse transcription-polymerase chain reaction analysis after timed periods of ischemia. Decreased levels of the cell cycle regulator p18ink4 and the oxidative responsive gene glutathione S-transferase were accompanied by an upregulation of the genes associated with cardiac muscle development, alpha-myosin heavy chain and fetal myosin alkali light chain. Other stress responses elicited by cardiac injury included an induction of Egr-1 and Egr-3 transcription factors, as well as the apoptotic regulator Bax. Altogether, these findings indicate that expression of genes associated with a fetal transcription program may be involved with the post ischemic remodeling process in heart ventricles.

Animals↗

PubMed2006

Expression profiles of cIRF6, cLHX6 and cLHX7 in the facial primordia suggest specific roles during primary palatogenesis.

BACKGROUND: The LIM-homeodomain transcription factors LHX7 and LHX6 have been implicated in palatogenesis in mice and thus may also contribute to the incidence of isolated palatal clefts and/or clefts of the lip and primary palate (CL/P) in humans. Causative mutations in the transcription factor IRF6 have also been identified in two allelic CL/P syndromes and common polymorphisms in the same gene are significantly associated with non-syndromal CL/P in different populations. RESULTS: Here we report the isolation of chick orthologues of LHX7, LHX6 and IRF6 and the first characterisation of their profiles of expression during morphogenesis of the midface with emphasis on the period around formation of the primary palate. LHX7 and LHX6 expression was restricted to the ectomesenchyme immediately underlying the ectoderm of the maxillary and mandibular primordia as well as to the lateral globular projections of the medial nasal process, again underlying the pre-fusion primary palatal epithelia. In contrast, IRF6 expression was restricted to surface epithelia, with elevated levels around the frontonasal process, the maxillary primordia, and the nasal pits. Elsewhere, high expression was also evident in the egg tooth primordium and in the apical ectodermal ridge of the developing limbs. CONCLUSION: The restricted expression of both LHX genes and IRF6 in the facial primordia suggests roles for these gene products in promoting directed outgrowth and fusion of the primary palate. The manipulability, minimal cost and susceptibility of chicks to CL/P will enable more detailed investigations into how perturbations of IRF6, LHX6 and LHX7 contribute to common orofacial clefts.

Amino Acid Sequence↗

PubMed2003

Analysis of the mutational effects of the COP/DET/FUS loci on genome expression profiles reveals their overlapping yet not identical roles in regulating Arabidopsis seedling development.

Microarray gene expression profiling was used to examine the role of pleiotropic COP/DET/FUS loci as well as other partially photomorphogenic loci during Arabidopsis seedling development and genome expression regulation. Four types of lethal, pleiotropic cop/det/fus mutants exhibit qualitatively similar gene expression profiles, yet each has specific differences. Mutations in COP1 and DET1 show the most similar genome expression profiles, while the mutations in the COP9 signalosome (CSN) and COP10 exhibit increasingly diverged genome expression profiles in both darkness and light. The genome expression profiles of the viable mutants of COP1 and DET1 in darkness mimic those of the physiological light-regulated genome expression profiles, whereas the genome expression profiles of representative lethal mutants belong to another clade and significantly diverge from the normal light control of genome expression. Instead, these lethal pleiotropic mutants show genome expression profiles similar to those from seedlings growth under high light intensity stress. Distinct lethal pleiotropic cop/det/fus mutants also result in distinct expression profiles in the small portion of genes examined and exhibit similar relatedness in both light and darkness. The partial cop/det/fus mutants affected expression of both light regulated and non-light regulated genes. Our results suggest that pleiotropic COP/DET/FUS loci control is largely overlapping but also has separable roles in plant development. The partially photomorphogenic loci regulate a subset of photomorphogenic responses as well as other non-light regulated processes.

Arabidopsis↗

PubMed2002

Expression profiling of pectinolytic genes from Aspergillus niger.

The expression of 26 pectinolytic genes from Aspergillus niger was studied in a wild type strain and a CreA derepressed strain, under 16 different growth conditions, to obtain an expression profile for each gene. These expression profiles were then submitted to cluster analysis to identify subsets of genes with similar expression profiles. With the exception of the feruloyl esterase encoding genes, all genes were expressed in the presence of D-galacturonic acid, polygalacturonate, and/or sugar beet pectin. Despite this general observation five distinct groups of genes were identified. The major group consisted of 12 genes of which the corresponding enzymes act on the pectin backbone and for which the expression, in general, is higher after 8 and 24 h of incubation, than after 2 or 4 h. Two other groups of genes encoding pectin main chain acting enzymes were detected. Two additional groups contained genes encoding L-arabinose and D-galactose releasing enzymes, and ferulic acid releasing enzymes, respectively. The genes encoding beta-galactosidase and the L-arabinose releasing enzymes were not only expressed in the presence of D-galacturonic acid, but also in the presence of L-arabinose, suggesting that they are under the control of two regulatory systems. Similarly, the rhamnogalacturonan acetylesterase encoding gene was not only expressed in the presence of D-galacturonic acid, polygalacturonate and sugar beet pectin, but also in the presence of L-rhamnose. The data presented provides indications for a general pectinolytic regulatory system responding to D-galacturonic acid or a metabolite derived from it. In addition, subsets of pectinolytic genes are expressed in response to the presence of L-arabinose, L-rhamnose or ferulic acid.

Aspergillus niger↗

PubMed2002

Microdissection is essential for gene expression profiling of clinically resected cancer tissues.

The gene expression array method enables us to achieve expression profiling with thousands of genes. Clinically resected bulk cancer tissues, however, contain not only cancer cells but also stromal cells, which may affect gene expression profiling and hamper accurate analysis of the cancer cells per se. Therefore, a procedure for dissecting specific cells, such as laser capture microdissection, is neededfor the clinical application of a gene expression array. There has been no study actually comparing 2 gene expression profiles, one obtained using RNA extractedfrom cancer cells by laser capture microdissection and one obtained using RNA extractedfrom bulk cancer tissues. Wefirst demonstrated the difference in expression patterns between them, without any amplification procedures. In addition, differential expression analysis between tumor and nontumor tissue yielded quite different patterns between the 2 methods. We conclude that microdissection is essential for gene expression profiling of clinical specimens.

Dissection↗

PubMed2005

Identification of differentially expressed genes in psoriasis using expression profiling approaches.

To identify differentially expressed genes which play causal roles in pathogenesis and maintenance for psoriasis, we used BodyMapping and introduced amplified fragment length polymorphism approaches. From the BodyMap database, we selected 2007 genes which specifically expressed in epithelial tissues. Among 2007 genes, we surveyed genes which differentially expressed in involved or uninvolved psoriatic lesional skin samples compared with atopic dermatitis, mycosis fungoides, and normal skin samples. As a result of surveying 2007 genes, 241 genes were differentially expressed only in involved psoriatic skin but not in the other samples. Hierarchical cluster analysis of gene expression profiles showed that 13 independent psoriatic-involved skin samples clustered tightly together, reflecting highly similar expression profiles. Using the same 2007 gene set, we examined gene expression levels in five serial lesions from distal uninvolved psoriatic skin to involved psoriatic plaque. We identified seven genes such as alpha-1-microglobulin/bikunin precursor, calnexin, claudin 1, leucine zipper down-regulated in cancer 1, tyrosinase-related protein 1, Yes-associated protein 1, and unc-13-like protein (Coleonyx elegans) which show high-expression levels only in uninvolved psoriatic lesions. These seven genes, which were reported to be related to apoptosis or antiproliferation, might have causal roles in pathophysiology in psoriasis.

Apoptosis↗

PubMed2004

Gene expression profiling in human endometrial cancer tissue samples: utility and diagnostic value.

OBJECTIVE: Recently, gene expression profiling techniques have been used on several human cancers to classify tumor subgroups with a specific biological behavior, which were previously undetected by the conventional histopathologic staging systems. In the current study, the clinical usefulness and prognostic value of gene expression profiling in human endometrial carcinomas were studied. METHODS: A macro cDNA array, containing cDNAs of 588 genes selected from different areas of cancer research, was used to generate gene expression profiles of tumor tissue samples. The gene expression profiles of 12 endometrial cancers, 3 benign (e.g. noncancer) endometrial tissue samples and 3 myometrial tissue samples, taken from human surgical specimen, were compared. RESULTS: The efficacy to generate a gene expression profile of these tissue samples was 77%. The RNA samples could be randomly taken from the tissue samples and were highly reproducible. Cluster analysis of gene expression profiles of the different samples showed that the benign endometrial and the myometrial samples clustered separately from the tumor samples, indicating that the gene expression profiles were tissue specific and not patient specific. Cluster analysis of the tumor samples revealed two distinct tumor clusters. Ranking of the tumors in the two clusters showed high similarity with the histopathologic classification [International Federation of Gynecology and Obstetrics (FIGO) grading]. CONCLUSION: Classification of endometrial tumors on basis of their gene expression profiles showed similarity with the FIGO grading system.

Adult↗

PubMed2005

Gene expression profiling of the irinotecan pathway in colorectal cancer.

The exact mechanism responsible for large variation of response to chemotherapy remains unclear. This study profiled the gene expression for the entire irinotecan pathway to provide insights into individualized cancer therapy. The RNA expressions of 24 irinotecan pathway genes were measured in paired tumor and normal tissues from 52 patients with Dukes' C colorectal cancer using a real-time quantitative reverse transcription-PCR assay. The relative expression levels across the 24 pathway genes varied considerably, with a 441-fold range from highest to lowest expression levels for the tumor tissues and a 934-fold range for the normal tissues. Interpatient variability was also quite large, with a 33.6 median fold change in the tumor tissue genes and a 30.1 median fold change in the normal tissue genes. Six of the 24 irinotecan pathway genes had dramatically lower expression levels in the tumor samples than did the genes in the normal tissues (median range, 1.28-4.39 folds; P = 0.001-0.029). Eight genes had significantly higher levels (median range, 1.35-2.42 folds; P = 0.001-0.011). Using hierarchical clustering, three gene clusters and three patient groups were observed with high similarity indices by the RNA expressions in colorectal tumors. The three patient groups had no unique clinical pathologic features but could be differentiated by the statistically significant differences in RNA expression level of seven genes. Our study indicates that gene expression profiling could be valuable for predicting tumor response to chemotherapy and for tailoring therapy to individual cancer patients.

Antineoplastic Agents, Phytogenic↗

PubMed2002

The t(14;18) defines a unique subset of diffuse large B-cell lymphoma with a germinal center B-cell gene expression profile.

Recently we have identified subgroups of de novo primary diffuse large B-cell lymphoma (DLBCL) based on complementary DNA microarray-generated gene expression profiles. To correlate the gene expression profiles with cytogenetic abnormalities in these DLBCLs, we examined the occurrence of the t(14;18)(q32;q21) in the 2 distinctive subgroups of DLBCL: one with the germinal center B-cell gene expression signature and the other with the activated B cell-like gene expression signature. The t(14;18) was detected in 7 of 35 cases (20%). All 7 t(14;18)-positive cases had a germinal center B-cell gene expression profile, representing 35% of the cases in this subgroup, and 6 of these 7 cases had very similar gene expression profiles. The expression of bcl-2 and bcl-6 proteins was not significantly different between the t(14;18)-positive and -negative cases, whereas CD10 was detected only in the group with the germinal center B-cell expression profile, and CD10 was most frequently expressed in the t(14;18)-positive cases. This study supports the validity of subdividing DLBCL into 2 major subgroups by gene expression profiling, with the t(14;18) being an important event in the pathogenesis of a subset of DLBCL arising from germinal center B cells. CD10 protein expression is useful in identifying cases of DLBCL with a germinal center B-cell gene expression profile and is often expressed in cases with the t(14;18).

Chromosome Mapping↗

PubMed2004

Monitoring therapy with gene expression profiling reveals physiological differences in drug action.

Gene expression profiling has become a versatile tool for biomedical research, which allows the assessment of a wide variety of basic questions in cellular regulation, in particular when a large number of molecular parameters have changed. There are various applications in drug research for which gene expression profiling is a very suitable approach. This includes: target identification, target validation, validation of drug specificity and monitoring of drug action during therapy. The focus of this article is the therapy monitoring and the interpretation of the gene expression profiles in respect to physiological differences of drug action. As an example, we will discuss changes in gene expression in blood samples from CML patients treated with the tyrosine kinase inhibitor (imatinib mesylate) and compare the observed effects on gene expression with the effects of IFNalpha treatment. In comparison with other examples of therapy monitoring the potential of this application of gene expression profiling for optimizing individual therapy will be discussed.

Animals↗

PubMed2004

Comparison of basal gene expression profiles and effects of hepatocarcinogens on gene expression in cultured primary human hepatocytes and HepG2 cells.

Toxicogenomics is a relatively new discipline of toxicology. Microarrays and bioinformatics tools are being used successfully to understand the effects of toxicants on in vivo and in vitro model systems, and to gain a better understanding of the relevance of in vitro models commonly used in toxicological studies. In this study, cDNA filter arrays were used to determine the basal expression patterns of human cultured primary hepatocytes from different male donors; compare the gene expression profile of HepG2 to that of primary hepatocytes; and analyze the effects of three genotoxic hepatocarcinogens; aflatoxin B(1) (AFB(1)), 2-acetylaminofluorene (2AAF), and dimethylnitrosamine (DMN), as well as one non-gentoxic hepatotoxin, acetaminophen (APAP) on gene expression in both in vitro systems. Real-time PCR was used to verify differential gene expression for selected genes. Of the approximately 31,000 genes screened, 3-6% were expressed in primary hepatocytes cultured on matrigel for 16 h. Of these genes, 867 were expressed in cultured hepatocytes from all donors. HepG2 cells expressed about 98% of the genes detectable in cultured primary hepatocytes, however, 31% of the HepG2 transcriptome was unique to the cell line. A number of these genes are expressed in human liver but expression is apparently lost during culture. There was considerable variability in the response to chemical carcinogen exposure in primary hepatocytes from different donors. The transcription factors, E2F1 and ID1 mRNA were increased three-fold and six-fold (P < 0.05, P < 0.01), respectively, in AFB(1) treated primary human hepatocytes but were not altered in HepG2. ID1 expression was also increased by dimethylnitrosamine, acetylaminofluorene and acetaminophen in both primary hepatocytes and HepG2. Identification of genes that are expressed in primary hepatocytes from most donors, as well as those genes with variable expression, will aid in understanding the variability in human reactions to drugs and chemicals. This study suggests that identification of biomarkers of exposure to some chemicals may be possible in the human through microarray analysis, despite the variability in responses.

Carcinogens↗

PubMed2006

Inference of gene regulatory networks and compound mode of action from time course gene expression profiles.

MOTIVATION: Time series expression experiments are an increasingly popular method for studying a wide range of biological systems. Here we developed an algorithm that can infer the local network of gene-gene interactions surrounding a gene of interest. This is achieved by a perturbation of the gene of interest and subsequently measuring the gene expression profiles at multiple time points. We applied this algorithm to computer simulated data and to experimental data on a nine gene network in Escherichia coli. RESULTS: In this paper we show that it is possible to recover the gene regulatory network from a time series data of gene expression following a perturbation to the cell. We show this both on simulated data and on a nine gene subnetwork part of the DNA-damage response pathway (SOS pathway) in the bacteria E. coli. CONTACT: dibernardo@tigem.it SUPLEMENTARY INFORMATION: Supplementary data are available at http://dibernado.tigem.it

Algorithms↗

PubMed2004

DBRF-MEGN method: an algorithm for deducing minimum equivalent gene networks from large-scale gene expression profiles of gene deletion mutants.

MOTIVATION: Large-scale gene expression profiles measured in gene deletion mutants are invaluable sources for identifying gene regulatory networks. Signed directed graph (SDG) is the most common representation of gene networks in genetics and cell biology. However, no practical procedure that deduces SDGs consistent with such profiles has been developed. RESULTS: We developed the DBRF-MEGN (difference-based regulation finding-minimum equivalent gene network) method in which an algorithm deduces the most parsimonious SDGs consistent with expression profiles of gene deletion mutants. Positive (or negative) directed edges representing positive (or negative) gene regulations are deduced by comparing the gene expression level between the wild-type and mutant. The most parsimonious SDGs are deduced using graph theoretical procedures. Compensation for excess removal of edges by restoring a minimum number of edges makes the method applicable to cyclic gene networks. Use of independent groups of edges greatly reduces the computational cost, thus making the method applicable to large-scale expression profiles. We confirmed the applicability of our method by applying it to the gene expression profiles of 265 Saccharomyces cerevisiae deletion mutants, and we confirmed our method's validity by comparing the pheromone response pathway, general amino acid control system, and copper and iron homeostasis system deduced by our method with those reported in the literature. Interpretation of the gene network deduced from the S. cerevisiae expression profiles by using our method led to the prediction of 132 transcriptional targets and modulators of transcriptional activity of 18 transcriptional regulators. AVAILABILITY: The software is available on request.

Algorithms↗

PubMed2002

Gene expression profiling of human GV oocytes: an analysis of a profile obtained by Serial Analysis of Gene Expression (SAGE).

A gene expression profile of the human GV oocyte has recently been established by Serial Analysis of Gene Expression (SAGE). A significant number of the genes identified in this profile had not previously been associated with mammalian oocytes. We sought to confirm gene matches by RT-PCR amplification of candidate transcripts using mouse eggs. Attention focused on receptors, proteins involved in apoptosis, and cytoskeletal proteins. Two receptors found in the human catalogue, CCR6 and PAR3, were not found in mouse eggs, whereas myosin light chain, LLGL, beta-actin, 5HT receptor, bad, bak, DFF45, and Caspase homologue (cash) were. Individual SAGEtags can match more than one gene and, in some cases, more than ten. Examination of transcript sequences that generate multiple gene assignments identified a common denominator of short interspersed elements or Alu sequences. For reasons which are, as yet, unclear, the human GV oocyte SAGE catalogue contains relatively high abundances of SAGEtags in Alu sequences. This may reflect normal expression of Alu-containing genes in eggs or upregulated expression of Alu elements following stress. The degeneracy of gene matches in SAGE generated by Alu sequences makes independent confirmation of candidate genes essential.

3' Untranslated Regions↗

PubMed2001

Inferring subnetworks from perturbed expression profiles.

Genome-wide expression profiles of genetic mutants provide a wide variety of measurements of cellular responses to perturbations. Typical analysis of such data identifies genes affected by perturbation and uses clustering to group genes of similar function. In this paper we discover a finer structure of interactions between genes, such as causality, mediation, activation, and inhibition by using a Bayesian network framework. We extend this framework to correctly handle perturbations, and to identify significant subnetworks of interacting genes. We apply this method to expression data of S. cerevisiae mutants and uncover a variety of structured metabolic, signaling and regulatory pathways.

Bayes Theorem↗