SEARCH · PubMed Health

Results for “Gene Expression Profiling”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 487 records · Page 27Linked to original sources

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

Gene expression profiling of mammary gland development reveals putative roles for death receptors and immune mediators in post-lactational regression.

INTRODUCTION: In order to gain a better understanding of the molecular processes that underlie apoptosis and tissue regression in mammary gland, we undertook a large-scale analysis of transcriptional changes during the mouse mammary pregnancy cycle, with emphasis on the transition from lactation to involution. METHOD: Affymetrix microarrays, representing 8618 genes, were used to compare mammary tissue from 12 time points (one virgin, three gestation, three lactation and five involution stages). Six animals were used for each time point. Common patterns of gene expression across all time points were identified and related to biological function. RESULTS: The majority of significantly induced genes in involution were also differentially regulated at earlier stages in the pregnancy cycle. This included a marked increase in inflammatory mediators during involution and at parturition, which correlated with leukaemia inhibitory factor-Stat3 (signal transducer and activator of signalling-3) signalling. Before involution, expected increases in cell proliferation, biosynthesis and metabolism-related genes were observed. During involution, the first 24 hours after weaning was characterized by a transient increase in expression of components of the death receptor pathways of apoptosis, inflammatory cytokines and acute phase response genes. After 24 hours, regulators of intrinsic apoptosis were induced in conjunction with markers of phagocyte activity, matrix proteases, suppressors of neutrophils and soluble components of specific and innate immunity. CONCLUSION: We provide a resource of mouse mammary gene expression data for download or online analysis. Here we highlight the sequential induction of distinct apoptosis pathways in involution and the stimulation of immunomodulatory signals, which probably suppress the potentially damaging effects of a cellular inflammatory response while maintaining an appropriate antimicrobial and phagocytic environment.

Acute-Phase Reaction↗

PubMed2005

Differential effects of Gq alpha, G14 alpha, and G15 alpha on vascular smooth muscle cell survival and gene expression profiles.

Gqalpha family members (Gqalpha, G11alpha, G14alpha, and G15/16alpha) stimulate phospholipase Cbeta (PLCbeta) and inositol lipid signaling but differ markedly in amino acid sequence and tissue distribution predicting unappreciated functional diversity. To examine functional differences, we compared the signaling properties of Gqalpha, G14alpha, and G15alpha and their cellular responses in vascular smooth muscle cells (VSMC). Constitutively active forms of Gqalpha, G14alpha, or G15alpha elicit markedly different responses when introduced to VSMC. Whereas each Galpha stimulated PLCbeta to similar extents when expressed at equal protein levels, Gqalpha and G14alpha but not G15alpha initiated profound cell death within 48 h. This response was the result of activation of apoptotic pathways, because Gqalpha and G14alpha, but not G15alpha, stimulated caspase-3 activation and did not alter phospho-Akt, a regulator of cell survival pathways. Gqalpha and G14alpha stimulate nuclear factor of activated T cell (NFAT) activation in VSMC, but Galpha-induced cell death seems independent of PKC, InsP(3)/Ca(2+), and NFAT, in that pharmacological inhibitors of these pathways did not block cell death. Gene expression analysis indicates that Gqalpha, G14alpha, and G15alpha each elicit markedly different profiles of altered gene sets in VSMC after 24 h. Whereas all three Galpha stimulated changes (> or =2-fold) in 50 shared mRNA, Gqalpha and G14alpha (but not G15alpha) stimulated changes in 221 shared mRNA, many of which are reported to be pro-apoptotic and/or involved with TNF-alpha signaling. We were surprised to find that each Galpha also stimulated changes in nonoverlapping Galpha-specific gene sets. These findings demonstrate that Gqalpha family members activate both overlapping and distinct signaling pathways and are more functionally diverse than previously thought.

Animals↗

PubMedDate not supplied

Characterization of cellular pathways involved in glioblastoma response to the chemotherapeutic agent 1, 3-bis(2-chloroethyl)-1-nitrosourea (BCNU) by gene expression profiling.

The effectiveness of chemotherapy for human cancers is limited by pharmacokinetic parameters such as variation in metabolism and is determined by the cellular response. In this work, we aimed to gain a more holistic understanding of the molecular basis of glioma response to the DNA-alkylating agent 1, 3-bis(2-chloroethyl)-1-nitrosourea (BCNU) by using a systematic approach: we investigated the expression of 588 genes with various cellular functions in a BCNU-resistant glioblastoma cell line and a BCNU-sensitive subline before and after treatment with BCNU. Our gene expression profiling revealed major differences in gene expression between these two cell lines, especially after treatment with BCNU. One striking example was that BCNU decreased the expression of six DNA-repair genes in sensitive but not in resistant cells. In sensitive cells, BCNU treatment resulted in the induction of two MAP kinase genes; this finding suggests that the specific response to BCNU in sensitive cells may involve the Jun kinase signal transduction pathway. After BCNU treatment, marked induction of tumor necrosis factor was detected only in sensitive cells, suggesting that tumor necrosis factor is a mediator of BCNU-induced cell death. Bcl-2 family members were not altered by BCNU in sensitive cells, suggesting that BCNU-induced cell death may be independent of the bcl-2 pathway. Results of the present study demonstrate that gene expression profiling may facilitate identification of cellular pathways associated with specific responses to chemotherapeutic agents and contribute to an understanding of the molecular basis of drug action.

Antineoplastic Agents, Alkylating↗

PubMed2004

Photo-caged agonists of the nuclear receptors RARgamma and TRbeta provide unique time-dependent gene expression profiles for light-activated gene patterning.

Light-activated gene expression systems hold promise as new tools for studying spatial and temporal gene patterning in multicellular systems. Photo-caged forms of nuclear receptor agonists have recently been shown to mediate photo-dependent transcription in mammalian cells, however, because intracellularly released agonists can rapidly diffuse out of cells, the photo-initiated transcription response is only transient and limited to only a few hours in reported examples. Herein we describe a photo-caged thyroid hormone receptor agonist that provides a robust 36 h transcription response to a single irradiation event. These findings are in contrast to a closely related system, which uses a caged retinoic acid receptor agonist, which provides only a short transcription response. Comparison of the two systems, show that the duration of transcription response is not controlled by the rate of diffusion of free ligand out of the cell, but perhaps by the duration of ligand-induced transcription/stability of the active transcription complex.

Gene Expression Profiling↗

PubMed2003

Gene expression profile of Campylobacter jejuni in response to growth temperature variation.

The foodborne pathogen Campylobacter jejuni is the primary causative agent of gastroenteritis in humans. In the present study a whole genome microarray of C. jejuni was constructed and validated. These DNA microarrays were used to measure changes in transcription levels over time, as C. jejuni cells responded to a temperature increase from 37 to 42 degrees C. Approximately 20% of the C. jejuni genes were significantly up- or downregulated over a 50-min period after the temperature increase. The global change in C. jejuni transcriptome was found to be essentially transient, with only a small subset of genes still differentially expressed after 50 min. A substantial number of genes with a downregulated coexpression pattern were found to encode for ribosomal proteins. This suggests a short growth arrest upon temperature stress, allowing the bacteria to reshuffle their energy toward survival and adaptation to the new growth temperature. Genes encoding chaperones, chaperonins, and heat shock proteins displayed the most dramatic and rapid upregulation immediately after the temperature change. Interestingly, genes encoding proteins involved in membrane structure modification were differentially expressed, either up- or downregulated, suggesting a different protein membrane makeup at the two different growth temperatures. Overall, these data provide new insights into the primary response of C. jejuni to surmount a sudden temperature upshift, allowing the bacterium to survive and adapt its transcriptome to a new steady state.

Bacterial Proteins↗

PubMed2006

Preliminary analysis of gene expression profiles in HepG2 cell line induced by different genotype core proteins of HCV.

In present investigation, we constructed recombinants expressing the HCV genotypes 1b, 2a, and 4d core proteins, and established human hepatocellular carcinoma (HepG2) cell line that expressed various genotype core proteins. The gene expression profiles in the cells expressing different HCV genotype core proteins were compared with those in the control by microarray analysis. In data analysis, a threshold was set to eliminate all genes that were not increased or decreased by 2.5-fold change in a comparison between the transfected cells and control cells. The preliminary microarray analysis suggests that the gene expression profiles regulated by three kinds of genotype core proteins are mainly involved in transport, signal transduction, regulation of transcription, protease activity, etc., and that some pathogenesis/oncogenesis gene expressions are up/down- regulated simultaneously in the HepG2 cell line. The data suggest that each core protein has its gene expressions profile and that the profiles are implicated in HCV replication and pathogenesis, which may open up a novel way to understand the function of the HCV variant core proteins biological and their pathogenic mechanism.

Blotting, Western↗

PubMed2003

Gene expression profile changes in NB4 cells induced by realgar.

OBJECTIVES: To compare the gene expression profiles of acute promyelocytic leukemia cell line NB(4) before and after 12 hours of realgar treatment using cDNA microarray. METHODS: Two cDNA probes were prepared through reverse transcription from mRNA of both untreated and realgar treated NB(4) cells. The probes were labeled with Cy3 and Cy5 fluorescence dyes individually, hybridized with cDNA microarray representing 1003 different human genes, and scanned for fluorescent intensity. The genes were screened through the analysis of the difference in two gene expression profiles. RESULTS: The analysis of gene expression profiles indicates that 9 genes were up-regulated and 37 genes were down-regulated. Among the 9 up-regulated genes, 2 genes were involved in a proteasome degradation pathway. Some genes related to protein synthesis, signal transduction and cell receptors were down-regulated. CONCLUSION: PSMC2 and PSMD1 genes may play an important role in the apoptosis and partial differentiation of NB(4) cells.

Arsenicals↗

PubMed2005

Antimetastatic gene expression profiles mediated by retinoic acid receptor beta 2 in MDA-MB-435 breast cancer cells.

BACKGROUND: The retinoic acid receptor beta 2 (RARbeta2) gene modulates proliferation and survival of cultured human breast cancer cells. Previously we showed that ectopic expression of RARbeta2 in a mouse xenograft model prevented metastasis, even in the absence of the ligand, all-trans retinoic acid. We investigated both cultured cells and xenograft tumors in order to delineate the gene expression profiles responsible for an antimetastatic phenotype. METHODS: RNA from MDA-MB-435 human breast cancer cells transduced with RARbeta2 or empty retroviral vector (LXSN) was analyzed using Agilent Human 1A Oligo microarrays. The one hundred probes with the greatest differential intensity (p < 0.004, jointly) were determined by selecting the top median log ratios from eight-paired microarrays. Validation of differences in expression was done using Northern blot analysis and quantitative RT-PCR (qRT-PCR). We determined expression of selected genes in xenograft tumors. RESULTS: RARbeta2 cells exhibit gene profiles with overrepresentation of genes from Xq28 (p = 2 x 10(-8)), a cytogenetic region that contains a large portion of the cancer/testis antigen gene family. Other functions or factors impacted by the presence of exogenous RARbeta2 include mediators of the immune response and transcriptional regulatory mechanisms. Thirteen of fifteen (87%) of the genes evaluated in xenograft tumors were consistent with differences we found in the cell cultures (p = 0.007). CONCLUSION: Antimetastatic RARbeta2 signalling, direct or indirect, results in an elevation of expression for genes such as tumor-cell antigens (CTAG1 and CTAG2), those involved in innate immune response (e.g., RIG-I/DDX58), and tumor suppressor functions (e.g., TYRP1). Genes whose expression is diminished by RARbeta2 signalling include cell adhesion functions (e.g, CD164) nutritional or metabolic processes (e.g., FABP6), and the transcription factor, JUN.

Animals↗

PubMed2003

Gene expression profile in diabetic KK/Ta mice.

BACKGROUND: To identify susceptibility genes for diabetic nephropathy, GeneChip Expression Analysis was employed to survey the gene expression profile of diabetic KK/Ta mouse kidneys. METHODS: Kidneys from three KK/Ta and two BALB/c mice at 20 weeks of age were dissected. Total RNA was extracted and labeled for hybridizing to the Affymetrix Murine Genome U74Av2 array. The gene expression profile was compared between KK/Ta and BALB/c mice using GeneChip expression analysis software. Competitive reverse transcription-polymerase chain reaction (RT-PCR) was used to confirm the results of GeneChip for a selected number of genes. RESULTS: Out of 12,490 probe pairs present on GeneChip, 98 known genes and 31 expressed sequence tags (ESTs) were found to be differentially expressed between KK/Ta and BALB/c kidneys. Twenty-one known genes and seven ESTs that increased in expression and 77 known genes and 24 ESTs that decreased in KK/Ta kidneys were identified. These genes are related to renal function, extracellular matrix expansion and degradation, signal transduction, transcription regulation, ion transport, glucose and lipid metabolism, and protein synthesis and degradation. In the vicinity of UA-1 (quantitative trait locus for the development of albuminuria in KK/Ta mice), candidate genes that showed differential expression were identified, including the Sdc4 gene for syndecan-4, Ahcy gene for S-adenosylhomocysteine hydrolase, Sstr4 gene for somatostatin receptor 4, and MafB gene for Kreisler leucine zipper protein. CONCLUSION: The gene expression profile in KK/Ta kidneys is different from that in age-matched BALB/c kidneys. Altered gene expressions in the vicinity of UA-1 may be responsible for the development of albuminuria in diabetic KK/Ta mice.

Adenosylhomocysteinase↗

PubMed2005

Gene expression profiling using RNA extracted from whole blood: technologies and clinical applications.

Gene expression profiling promises to provide an insight into normal biologic and pathologic processes with the hope of predicting disease outcome or indicating individualized courses of therapy. The entire process for gene expression profiling from clinical samples consists of sample collection, transport and storage of clinical sample, isolation of nucleic acids, enzymatic modification of nucleic acids, detection and data analysis. All steps exert an influence on the quality, accuracy and reliability of the final result. A standardization of the entire process from sample collection to nucleic acid analysis is therefore required in order to achieve reliable gene expression results. After providing a general overview of technologies for gene expression profiling and respective caveats, this review will focus on clinical applications of blood sample profiling.

Acute Disease↗

PubMed2006

Gene expression profiling reveals reproducible human lung adenocarcinoma subtypes in multiple independent patient cohorts.

PURPOSE: Published reports suggest that DNA microarrays identify clinically meaningful subtypes of lung adenocarcinomas not recognizable by other routine tests. This report is an investigation of the reproducibility of the reported tumor subtypes. METHODS: Three independent cohorts of patients with lung cancer were evaluated using a variety of DNA microarray assays. Using the integrative correlations method, a subset of genes was selected, the reliability of which was acceptable across the different DNA microarray platforms. Tumor subtypes were selected using consensus clustering and genes distinguishing subtypes were identified using the weighted difference statistic. Gene lists were compared across cohorts using centroids and gene set enrichment analysis. RESULTS: Cohorts of 31, 72, and 128 adenocarcinomas were generated for a total of 231 microarrays, each with 2,553 reliable genes. Three adenocarcinoma subtypes were identified in each cohort. These were named bronchioid, squamoid, and magnoid according to their respective correlations with gene expression patterns from histologically defined bronchioalveolar carcinoma, squamous cell carcinoma, and large-cell carcinoma. Tumor subtypes were distinguishable by many hundreds of genes, and lists generated in one cohort were predictive of tumor subtypes in the two other cohorts. Tumor subtypes correlated with clinically relevant covariates, including stage-specific survival and metastatic pattern. Most notably, bronchioid tumors were correlated with improved survival in early-stage disease, whereas squamoid tumors were associated with better survival in advanced disease. CONCLUSION: DNA microarray analysis of lung adenocarcinomas identified reproducible tumor subtypes which differ significantly in clinically important behaviors such as stage-specific survival.

Adenocarcinoma↗

PubMed2004

ESTs, cDNA microarrays, and gene expression profiling: tools for dissecting plant physiology and development.

Gene expression profiling holds tremendous promise for dissecting the regulatory mechanisms and transcriptional networks that underlie biological processes. Here we provide details of approaches used by others and ourselves for gene expression profiling in plants with emphasis on cDNA microarrays and discussion of both experimental design and downstream analysis. We focus on methods and techniques emphasizing fabrication of cDNA microarrays, fluorescent labeling, cDNA hybridization, experimental design, and data processing. We include specific examples that demonstrate how this technology can be used to further our understanding of plant physiology and development (specifically fruit development and ripening) and for comparative genomics by comparing transcriptome activity in tomato and pepper fruit.

DNA, Complementary↗

PubMed2005

CD34 expression in native human acute myelogenous leukemia blasts: differences in CD34 membrane molecule expression are associated with different gene expression profiles.

BACKGROUND: The stem cell marker CD34 is expressed by leukemia blasts only for a subset of patients with acute myelogenous leukemia (AML). It is still controversial as to whether CD34 expression (defined as at least 10-20% positive cells) has any prognostic effect in patients with AML who receive intensive chemotherapy. The present study investigated whether gene expression profiling could be used to further subclassify CD34(+) AML cell populations. METHODS: AML blasts derived from 25 patients were examined; these patients were randomly selected from a larger consecutive group of patients. CD34 protein expression was determined by flow cytometry and expressed as the percentage of positive cells. Gene expression profiles were determined by complementary DNA microarrays. RESULTS: By unsupervised hierarchical clustering our patients could be grouped into two or three major subsets depending on the methodologic approach before clustering analysis (filtering or flooring of data, respectively). However, both approaches identified a cluster characterized by high gene expression and membrane molecule level of CD34. When using the floored expression profiles, the patient cluster characterized by increased CD34 gene expression was also characterized by a high percentage of CD34(+) cells (median 82%, range 56-100%) compared with the two other major clusters (median 19%, range <1-55%), but three of four outpatients also showed a high percentage of CD34(+) cells. CONCLUSION: A major proportion of patients with AML and high CD34 expression (usually >80% CD34(+) cells; nearly all patients had >50% positive cells) showed similarities in gene expression profile. In contrast, patients with lower CD34 expression often had a profile similar to those of patients regarded as CD34(-) according to conventional criteria. Our results suggest that the possible prognostic effect of CD34 expression should be reevaluated in clinical studies using additional or alternative cutoff values to describe CD34 expression.

Adult↗

PubMed2003

Analyzing tumor gene expression profiles.

A brief introduction to high throughput technologies for measuring and analyzing gene expression is given. Various supervised and unsupervised data mining methods for analyzing the produced high-dimensional data are discussed. The main emphasis is on supervised machine learning methods for classification and prediction of tumor gene expression profiles. Furthermore, methods to rank the genes according to their importance for the classification are explored. The approaches are illustrated by exploratory studies using two examples of retrospective clinical data from routine tests; diagnostic prediction of small round blue cell tumors (SRBCT) of childhood and determining the estrogen receptor (ER) status of sporadic breast cancer. The classification performance is gauged using blind tests. These studies demonstrate the feasibility of machine learning-based molecular cancer classification.

Adult↗

PubMed2005

Do blood cells mimic gene expression profile alterations known to occur in muscular adaptation to endurance training?

Exercise is known to upregulate mRNA synthesis for carnitine palmitoyl transferase1 (CPT1) and possibly also other mitochondrial carnitine acyltransferases in muscle tissue. The aim of this study was to test whether such an adaptation of oxidative metabolism in skeletal muscle is a systemic process and consequently, also affects other cells. Messenger RNA levels of five genes [carnitine palmitoyl transferases 1 and 2 (CPT1 and CPT2), carnitine acetyltransferase (CRAT), carnitine palmitoyltransferase 2 (CPT2), microsomal carnitine palmitoyltransferase (GRP58) and organic cation transporter (OCTN2)] were determined with quantitative real time polymerase chain reaction (PCR) in blood cells and in muscle biopsy samples from six cross country skiers before and 6 months after a high volume/low intensity exercise training, when training had elicited a significantly slower rate of lactate accumulation. Quantitative real time PCR showed that levels of mRNA in blood cells correlated significantly (CPT1B: P< 0.001) with those in muscle tissue from the same donors. After 6-months training, there was a 15-fold upregulation of CPT1B mRNA, a six to ninefold increase of CRAT mRNA, of CPT2 mRNA, GRP58 mRNA, and of OCTN2 mRNA. The observation of a concordant stimulation of CPT1, CPT2, CRAT, GRP58 and OCTN2 transcription in blood cells and muscle tissue after 6-month-endurance training leads the hypothesis of a common stimulation mechanism other than direct mechanical stress or local chemical environment, but rather humoral factors.

Adaptation, Physiological↗

PubMed2003

Gene-expression profiles of human tumor xenografts in nude mice treated orally with the EGFR tyrosine kinase inhibitor ZD1839.

To date, no single or multiple molecular markers have been successful in predicting sensitivity of individual patients to anti-cancer drugs. As the nature of a specific cancer is considered to be defined by the proteins being expressed in the tumor cells, systematic analysis of gene-expression profiles may provide information reflecting sensitivity of a given tumor to certain drugs. Recent progress in genome technology has enabled us to examine expression profiles of thousands of genes in a single experiment. We used this approach to examine 13 xenografts of human tumors implanted into nude mice for sensitivity to an orally active, selective epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), ZD1839 (Iressa). To identify genes that might be associated with sensitivity to this drug we used a cDNA microarray representing 23,040 genes to analyze expression profiles of the 13 xenografts and identified 114 genes whose expression levels correlated significantly with sensitivity of the tumors to ZD1839. We then investigated alteration of expression profiles in response to the ZD1839 treatment in four non-small cell lung cancer (NSCLC) xenografts, of which two (LC6 and LC11) were sensitive and the other two (Lu116 and L27) were resistant to this EGFR-TKI. Systematic analysis of expression at various time points during oral treatment for 14 days, compared with corresponding untreated samples, identified a set of genes whose expression levels changed in the two sensitive tumors but not in the two resistant tumors. The data obtained here should provide useful information on the molecular mechanism underlying clinical responses to EGFR-TKIs, aid the development of novel therapies for lung cancer, and potentially identify predictive molecular markers for sensitivity to ZD1839.

Administration, Oral↗

PubMed2002

Mouse glioma gene expression profiling identifies novel human glioma-associated genes.

Based on previous studies demonstrating increased RAS activity in human astrocytomas, we developed a transgenic mouse model (B8) that targets an activated RAS molecule to astrocytes. Within 3 to 4 months after birth, these mice develop high-grade astrocytomas that are histologically identical to human astrocytomas. To characterize genetic events associated with B8 mouse astrocytoma formation, we employed comparative gene expression profiling of wild-type cultured mouse astrocytes, non-neoplastic B8 astrocytes, B8 astrocytoma cultures, and two other astrocytoma cultures from independently derived RAS transgenic mouse lines. We identified several classes of gene expression changes, including those associated with the non-neoplastic state in the B8 transgenic mouse, those associated with astrocytoma formation, and those specifically associated with only one of the three independently derived transgenic mouse astrocytomas. Differential expression of several unique genes was confirmed at the protein level in both the RAS transgenic mouse astrocytomas and two human glioblastoma multiforme cell lines. Furthermore, reexpression of one of these downregulated astrocytoma-associated proteins, GAP43, resulted in C6 glioma cell growth suppression. The use of this transgenic mouse model to identify novel genetic changes that might underlie the pathogenesis of human high-grade astrocytomas provides a unique opportunity to discover future targets for brain tumor therapy.

Animals↗