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Expression profiles of acute lymphoblastic and myeloblastic leukemias with ALL-1 rearrangements.

The ALL-1 gene is directly involved in 5-10% of acute lymphoblastic leukemias (ALLs) and acute myeloid leukemias (AMLs) by fusion to other genes or through internal rearrangements. DNA microarrays were used to determine expression profiles of ALLs and AMLs with ALL-1 rearrangements. These profiles distinguish those tumors from other ALLs and AMLs. The expression patterns of ALL-1-associated tumors, in particular ALLs, involve oncogenes, tumor suppressors, antiapoptotic genes, drug-resistance genes, etc., and correlate with the aggressive nature of the tumors. The genes whose expression differentiates between ALLs with and without ALL-1 rearrangement were further divided into several groups, enabling separation of ALL-1-associated ALLs into two subclasses. One of the groups included 43 genes that exhibited expression profiles closely linked to ALLs with ALL-1 rearrangements. Further, there were evident differences between the expression profiles of AMLs in which ALL-1 had undergone fusion to other genes and AMLs with partial duplication of ALL-1. The extensive analysis described here pinpointed genes that might have a direct role in pathogenesis.

Chromosome Aberrations↗

Towards Arabidopsis genome analysis: monitoring expression profiles of 1400 genes using cDNA microarrays.

cDNA microarrays containing 1443 Arabidopsis thaliana genes were analyzed for expression profiles in major organs of Arabidopsis plants. Novel expression profiles were identified for many coding sequences with putative gene identifications. Expression patterns of novel sequences provided clues to their possible functions. The results demonstrate how microarrays containing a large number of Arabidopsis genes can provide a powerful tool for plant gene discovery, functional analysis and elucidation of genetic regulatory networks.

Arabidopsis↗

Gene expression profiling of embryo-derived stem cells reveals candidate genes associated with pluripotency and lineage specificity.

Large-scale gene expression profiling was performed on embryo-derived stem cell lines to identify molecular signatures of pluripotency and lineage specificity. Analysis of pluripotent embryonic stem (ES) cells, extraembryonic-restricted trophoblast stem (TS) cells, and terminally-differentiated mouse embryo fibroblast (MEF) cells identified expression profiles unique to each cell type, as well as genes common only to ES and TS cells. Whereas most of the MEF-specific genes had been characterized previously, the majority (67%) of the ES-specific genes were novel and did not include known differentiated cell markers. Comparison with microarray data from embryonic material demonstrated that ES-specific genes were underrepresented in all stages sampled, whereas TS-specific genes included known placental markers. Investigation of four novel TS-specific genes showed trophoblast-restricted expression in cell lines and in vivo, whereas one uncharacterized ES-specific gene, Esg-1, was found to be exclusively associated with pluripotency. We suggest that pluripotency requires a set of genes not expressed in other cell types, whereas lineage-restricted stem cells, like TS cells, express genes predictive of their differentiated lineage.

Animals↗

Expression profile of active genes in human periodontal ligament and isolation of PLAP-1, a novel SLRP family gene.

Periodontal ligament (PDL) is one of the most important tissues in maintaining the homeostasis of tooth and tooth-supporting tissue, periodontium. In this study, we investigated the expression profile of active genes in the human PDL obtained by collecting sequences with a 3'-directed cDNA library, which faithfully represents the composition of the mRNA population. We succeeded in obtaining a total of 1752 cDNA sequences by sequencing randomly selected clones and identified a total of 1318 different species as gene signatures (GS) by their sequence identity, 344 of which were known genes in the GenBank, and 974 of which were new genes. The resulting expression profile showed that collagen type I and type III were the most abundant genes and that osteogenesis-related proteins, such as SPARC/osteonectin and osteoblast specific factor 2, were highly expressed. By comparing the expression profile of PDL with 44 profiles similarly obtained with unrelated human cell/tissue, nine novel genes, which are probably expressed specifically in PDL, were discovered. Among them, we cloned a full-length cDNA of GS5096, which is frequently expressed in freshly-isolated periodontal tissue. We found that it encodes a novel protein, which is a new member of the class I small leucine-rich repeat proteoglycan family, and designated it PLAP-1 (periodontal ligament associated protein-1). PLAP-1 mRNA expression was confirmed in in vitro-maintained PDL cells and was enhanced during the course of the cytodifferentiation of the PDL cells into mineralized tissue-forming cells such as osteoblasts and cementoblasts. These findings suggest the involvement of PLAP-1 in the mineralized matrix formation in PDL tissues.

Amino Acid Sequence↗

[Gene expression profiling using improved SAGE].

Serial analysis of gene expression(SAGE) is an experimental technique designed to gain a direct and quantitative measure of gene expression. The SAGE method is based on the isolation of unique sequence tags(9-10 bp in length) from individual mRNAs and serial concatenation of tags into long DNA molecules for lump-sum sequencing. The SAGE-method can be applied to the studies exploring virtually any kinds of biological phenomena in which changes in cellular transcription are responsible. SAGE is a highly competent technology that can not only give a global gene expression profile of a particular type of cell or tissue, but also facilitate identification a set of specific genes related to the cellular conditions by comparing the profiles constructed for a pair of cells maintained under different conditions. However, the original SAGE method contains several serious intrinsic problems, such as procedural difficulty in library construction, extremely short cDNA tags, and so forth. We therefore modified the procedure to overcome these drawbacks, and applied the improved method to analyze various biological phenomena. In this review, we present an outline of the method, and describe several studies performed using the method as a major strategic tool.

Gene Expression Profiling↗

Analysis of 2,3,7,8-tetrachlorodibenzo-p-dioxin-induced gene expression profile in vivo using pathway-specific cDNA arrays.

In the current study, we used pathway-specific cDNA arrays to detect the transcriptional signature induced by 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) in vivo by studying simultaneously the expression profiles of 83 genes involved in apoptosis, cytokine production and angiogenesis. To this end, C57BL/6 mice were injected i.p. with 50 microg/kg body weight of TCDD and 1 or 3 days later, the thymus was analyzed for gene expression profiles. In the thymus, 23 out of 37 apoptotic genes screened were up-regulated by TCDD by a factor of two or more when compared to the vehicle-treated controls. In contrast, in the spleen, 20 out of 22 and in the liver, 16 out of 37 apoptotic genes were up-regulated. In the thymus, several genes encoding caspases, and members of the TNF family, including Fas ligand, were induced. Also, in the thymus, eight out of 23, and in the spleen, six out of 23 cytokine genes were up-regulated. In the liver and to a lesser extent in the thymus, certain angiogenesis genes were induced while others were repressed. When mice were injected with 0.1, 1, 10 or 50 microg/kg body weight of TCDD and the thymus was analyzed for apoptotic genes 1 day later, a dose-dependent response was not seen with most apoptotic genes. However, certain apoptotic genes were induced in the thymus even at low doses of 0.1 microg/kg body weight of TCDD. These data demonstrate that TCDD alters the expression of a large array of genes involved in apoptosis, cytokine production and angiogenesis. Thus, pathway-specific cDNA arrays may help in the identification of specific gene expression profiles induced by xenobiotics and to delineate the molecular mechanisms of toxicity.

Animals↗

Gene expression profile after intense second messenger activation in cortical primary neurones.

Numerous stimuli induce immediate early gene (IEG) expression in neurones, but a comprehensive overview of the late-response genes is lacking. Therefore we aimed to identify changes in the neuronal gene expression profile following intense stimulation. Forskolin and 12-O-tetradecanoylphorbol-13-acetate (TPA), direct activators of intracellular second messengers, were applied to primary cultured cortical neurones. The gene expression profiles were analyzed on Affymetrix DNA chips which cover around 8000 rat genes. Out of these, 95 genes (1.2%) were increased at least three-fold, and 43 genes (0.5%) were at least three-fold decreased. The gene chip results were verified by testing 15 of the altered genes by quantitative real-time PCR. The majority of the up-regulated genes were transcription factors, neurotrophic factors or (putative) neuropeptides. Furthermore, there were marked changes in intracellular signal processing enzymes and in postsynaptic structural proteins (e.g. vesl, arc, narp), which have been implicated in synaptic plasticity. Notably, classical players in neurotransmission or plasticity such as glutamate and GABA receptors or voltage-gated ion channels were not increased. It is likely that the increased production of components of intracellular signalling and of postsynaptic proteins is involved in neuronal plasticity.

Animals↗

Gene expression profiling of multiple histone deacetylase (HDAC) inhibitors: defining a common gene set produced by HDAC inhibition in T24 and MDA carcinoma cell lines.

Acetylation of histones in chromatin is one mechanism involved in the regulation of gene transcription and is tightly controlled by the balance of acetyltransferase and deacetylase (HDAC) activities. In cancer, some genes are repressed by the inappropriate recruitment of HDACs, e.g., tumor suppressor genes. To understand the genomic effects of HDAC inhibition on gene transcription we studied the gene expression profiles of T24 bladder and MDA breast carcinoma cells treated with three HDAC inhibitors, suberoylanilide hydroxamic acid, trichostatin A, and MS-27-275. The gene expression profiles of the HDAC inhibitors were generally similar to one another and differed substantially from those produced by structurally related inactive analogues; consequently, the changes in gene expression are mechanism-based. Hierarchical clustering of expression profiles demonstrated a greater similarity between the two hydroxamate-containing inhibitors (suberoylanilide hydroxamic acid and trichostatin A) than with MS-27-275. This difference was also supported by cell phenotypic experiments. As many genes were down-regulated as up-regulated by HDAC inhibitor treatment. Comparison of the data sets defined a common ("core") set of 13 genes regulated by all of the HDAC inhibitors in three cell lines, 8 up-regulated and 5 down-regulated. Ten of 13 genes were confirmed in dose response studies in T24 cells by quantitative-PCR. The core regulated genes are involved predominantly in cell cycle/apoptosis and DNA synthesis in response to HDAC inhibitors. These data will aide in understanding the complex set of events in cells in response to chromatin remodeling induced by HDAC inhibition, which may be responsible for antitumor effects.

Benzamides↗

Expression profiling of mRNA obtained from single identified crustacean motor neurons: determination of specificity of hybridization.

The purpose of this study was to determine if the technique of expression profiling would allow us to determine the changes in the abundance of certain mRNAs in identifiable, single neurons as a result of heightened electrical activity. In doing so we developed an approach to test the specificity of hybridization in expression profiling. Messenger RNA from single identified crayfish motor neurons was amplified by ligation-mediated reverse transcription PCR and hybridized by dot-blotting to 45 target cDNAs from different species. As a test of specificity, the hybridization was repeated using unlabelled cDNAs, the dots were excised, and the hybridized nucleic acids were re-amplified, cloned, and sequenced to confirm their identity. By cloning and sequencing the re-amplified product for each cDNA examined, one can determine the degree of background hybridization as compared to homologous hybridization. False positive results were also observed when a species-specific cDNA and highly stringent hybridization conditions were used. Our results demonstrate that ligation-mediated PCR is a useful technique for checking the specificity of expression profiling. This approach can easily be adapted to any situation when confirmation of the specificity of nucleic acid hybridization is required. During this study, part of a novel crayfish neuronal actin cDNA was cloned and sequenced.

Animals↗

Can molecular mechanisms of biological processes be extracted from expression profiles? Case study: endothelial contribution to tumor-induced angiogenesis.

Whereas the genome contains all potential developmental programs, expression profiles permit the determination of genes that are actively transcribed under defined physiological conditions. In this article, the idea of extracting biological mechanisms from expression data is tested. Molecular processes of the endothelial contribution to angiogenesis are derived from recently published expression profiles. The analysis reveals the sensitivity limits of experimental detection of transcriptional changes and how sequence-analytic techniques can help to identify the function of genes in question. We conclude that the transcripts (http://mendel.imp.univie.ac.at/SEQUENCES/TEMS/) found to be up-regulated in angiogenesis are involved in extracellular matrix remodeling, cellular migration, adhesion, cell-cell communication rather than in angiogenesis initiation or integrative control. Comparison with tissue-specific patterns of EST occurrence shows that, indeed, the presumptive tumor-specific endothelial markers are more generally expressed by cell types involved in migration and matrix remodeling processes. This exemplary study demonstrates how bioinformatics approaches can be helpful in deriving mechanistic information from diverse sources of experimental data.

Animals↗

Carbohydrate expression profile of colorectal cancer cells is relevant to metastatic pattern and prognosis.

Carbohydrate expression of cancer cells is closely related to the metastatic nature of colorectal cancer. In the present study we investigated the relevance of carbohydrate expression profiles of colorectal cancer cells in the primary lesion to metastatic distribution patterns as well as prognosis in 134 cases. Carbohydrate expression was estimated by histochemistry with 17 kinds of lectins and 3 kinds of Lewis-related monoclonal antibodies (MAbs), and correlations between the staining and clinicopathological parameters were examined. The results showed that lymphatic invasion, lymph node metastasis, and peritoneal metastasis correlated with staining with lectins that bind galactose/N-acetylgalactosamine residues (Gal/GalNAc) such as Maclura pomifera (MPA), Arachis hypogaea (PNA), Helix pomatia (HPA), and Vicia villosa (VVA). In contrast, hepatic metastasis correlated with staining with Anguilla anguilla lectin (AAA), anti-LewisX (LEX-2), anti-sialyl Lewisa (NS 19-9), and anti-sialyl-dimeric LewisX (FH-6) MAbs, all of which bind preferentially to fucosylated carbohydrate chains. The five-year survival rate of patients was related to the staining of cancers with MPA, HPA, FH-6 or NS19-9, and MPA- and FH-6 staining were independent prognostic factors. We conclude that carbohydrate expression profiles of cancer cells are relevant to the route of tumor cell dissemination, metastatic pattern as well as prognosis of colorectal cancer.

Adenocarcinoma↗

Expression profiling of ductal carcinoma in situ by laser capture microdissection and high-density oligonucleotide arrays.

Gene expression profiling through the use of nucleic acid arrays is a powerful method for the molecular classification of human neoplasms. Laser capture microdissection is an equally useful technique to selectively isolate defined cell populations from heterogeneous histological tissue sections. In this report, we demonstrate how a modest use of laser capture microdissection is sufficient to isolate nanogram quantities of high-quality RNA. Together with the use of several internal standards and microcapillary electrophoresis of input RNA, two rounds of linear molecular amplification have been used to generate sufficient quantities of labeled target for hybridization to high-density oligonucleotide expression arrays. Results demonstrate that the technique is reproducible, generates only modest biasing of the original transcript population, and is comparable to the sensitivity achieved with standard methodology. Using this approach, we have compared the expression profiles of nonmalignant human breast epithelium and adjacent ductal carcinoma in situ lesions from breast cancer patients. Several genes, previously implicated in human breast cancer progression, demonstrate differential expression among the microdissected cell populations.

Breast↗

Tandem arrayed ligation of expressed sequence tags (TALEST): a new method for generating global gene expression profiles.

We have developed a new and simple method for quantitatively analyzing global gene expression profiles from cells or tissues. The process, called TALEST, or tandem arrayed ligation of expressed sequence tags, employs an oligonucleotide adapter containing a type IIs restriction enzyme site to facilitate the generation of short (16 bp) ESTs of fixed position in the mRNA. These ESTs are flanked by GC-clamped punctuation sequences which render them resistant to thermal denaturation, allowing their concatenation into long arrays and subsequent recognition and analysis by high-throughput DNA sequencing. A major advantage of the TALEST technique is the avoidance of PCR in all stages of the process and hence the attendant sequence-specific amplification biases that are inherent in other gene expression profiling methods such as SAGE, Differential Display, AFLP, etc. which rely on PCR.

Adult↗

[Gene expression profiling in prostatic cancer].

Basic aspects of the biology and molecular alterations in prostate carcinoma remain poorly understood. New diagnostic and prognostic markers for prostate carcinoma may add additional information to current histopathological diagnosis. In order to achieve these goals, a comprehensive gene expression analysis was performed on non-metastasizing, untreated prostate cancer tissues. RNA expression profiles of approximately 12,600 sequences from 26 human prostate tissues (17 adenocarcinomas and 9 normal adjacent to cancer tissues) were investigated using high-density oligonucleotide microarray technology (Affymetrix). We identified 63 genes which were significantly increased (at least 2.5-fold) and 153 genes which were decreased (at least 2.5-fold). Upregulated genes included several which had not yet been described, such as the genes encoding the specific granule protein (SGP28), several members of the histone family, and the alpha-methylacyl-CoA racemase, but also previously reported ones such as hepsin, LIM domain kinase 2, and carcinoma-associated antigen GA733-2. Laser capture-microdissection of epithelial and stromal compartments from cancer and histologically normal specimens followed by an amplification protocol for low amounts of RNA (< 0.1 microgram) allowed us to distinguish between gene expression profiles characteristic of epithelial cells and those typical of stroma. Most of the genes identified in bulk tumor material as upregulated were indeed overexpressed in cancerous epithelium rather than in the stromal compartment. DNA microarray data for up- and downregulated genes were confirmed by quantitative RT-PCR. We demonstrated that development of prostate cancer is associated with downregulation as well as upregulation of genes that show complex differential regulation in epithelia and stroma. Some of the alterations in gene expression identified in this study may prove useful in development of novel diagnostic and therapeutic strategies. Gene expression profiling of microdissected tumor cells in prostate biopsies may supplement histopathologic diagnosis.

Adenocarcinoma↗

Gene expression profiling of the pH response in Escherichia coli.

Escherichia coli MG1655 acid-inducible genes were identified by whole-genome expression profiling. Cultures were grown to the mid-logarithmic phase on acidified glucose minimal medium, conditions that induce glutamate-dependent acid resistance (AR), while the other AR systems are either repressed or not induced. A total of 28 genes were induced in at least two of three experiments in which the gene expression profiles of cells grown in acid (pH 5.5 or 4.5) were compared to those of cells grown at pH 7.4. As expected, the genes encoding glutamate decarboxylase, gadA and gadB, were significantly induced. Interestingly, two acid-inducible genes code for small basic proteins with pIs of >10.5, and six code for small acidic proteins with pIs ranging from 5.7 to 4.0; the roles of these small basic and acidic proteins in acid resistance are unknown. The acid-induced genes represented only five functional grouping categories, including eight genes involved in metabolism, nine associated with cell envelope structures or modifications, two encoding chaperones, six regulatory genes, and six unknown genes. It is unlikely that all of these genes are involved in the glutamate-dependent AR. However, nine acid-inducible genes are clustered in the gadA region, including hdeA, which encodes a putative periplasmic chaperone, and four putative regulatory genes. One of these putative regulators, yhiE, was shown to significantly increase acid resistance when overexpressed in cells that had not been preinduced by growth at pH 5.5, and mutation of yhiE decreased acid resistance; yhiE could therefore encode an activator of AR genes. Thus, the acid-inducible genes clustered in the gadA region appear to be involved in glutatmate-dependent acid resistance, although their specific roles remain to be elucidated.

Culture Media↗

Expression profile of genes from 12p in testicular germ cell tumors of adolescents and adults associated with i(12p) and amplification at 12p11.2-p12.1.

Gain of 12p material is invariably associated with testicular germ cell tumors (TGCTs) of adolescents and adults, most usually as an isochromosome 12p. We analyzed TGCTs with i(12p) using a global approach to expression profiling targeting chromosomes (comparative expressed sequence hybridization, CESH). This indicated overexpression of genes from 12p11.2-p12.1 relative to testis tissue and fibroblasts. The nonseminoma subtype showed higher levels of expression than seminomas. Notably, 12p11.2-p12.1 is amplified in about 10% of TGCTs and CESH analysis of such amplicon cases showed high levels of overexpression from this region. Microarray analysis, including cDNA clones representing most UniGene clusters from 12p11.2-p12.1, was applied to DNA and RNA from 5 TGCTs with amplification of 12p11.2-p12.1 and seven TGCTs with gain of the entire short arm of chromosome 12. Expression profiles were consistent with the CESH data and overexpression of EST595078, MRPS35 and LDHB at 12p11.2-p12.1 was detected in most TGCTs. High-level overexpression of BCAT1 was specific to nonseminomas and overexpression of genes such as CMAS, EKI1, KRAS2, SURB7 and various ESTs correlated with their amplification. Genes such as CCND2, GLU3, LRP6 and HPH1 at 12p13 were also overexpressed. The overexpressed sequences identified, particularly those in the region amplified, represent candidate genes for involvement in TGCT development.

Adolescent↗

Changes in gene expression profiles in developing B cells of murine bone marrow.

Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow.

Animals↗

Gene expression profile in the regenerating rat liver after partial hepatectomy.

BACKGROUND/AIMS: When a loss of hepatic mass occurs, the expression of a large number of genes is either induced or altered, accompanying hepatocyte proliferation. In the present study, we made an in-house cDNA microarray containing 4608 elements (Liver chip), and analyzed extensively gene expression profiles of the regenerating liver after 70% partial hepatectomy (PHx) in rats. METHODS: RNAs were prepared from three rat livers at each time point (taken at 0, 6, 12, 18, 24, 48, 72 h, and 1 week after PHx). Using the liver chip, we performed large-scale analysis of gene expression during liver regeneration. Elements either up- or down-regulated more than twofold at one or more time points were selected. RESULTS: Among the 4608, 382 were identified. Using cluster analysis, we found great similarity between gene-expression profiles at 12 and 18 h after PHx as well as between 48 and 72 h after PHx. We also found that there are at least six distinct temporal patterns of gene expression in the regenerating rat liver after PHx. CONCLUSIONS: These results indicated that microarray analysis is a powerful approach for monitoring molecular events in the regenerating liver.

Animals↗