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Results for “Expression profiling”

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At least 1,423 records · Page 79Linked to original sources

PubMed2006

[Difference of gene expression profiles between HL-60/VCR and HL-60 cells detected by human genome genechip].

This study was aimed to detect the gene expression profile changes between human acute leukemia cell line HL-60 and VCR-resistance HL-60, and to investigate the underlying mechanisms of MDR by using genechip technology. In experiments, mRNA were harvested using TrizoL reagent from these two cell lines, through RT-PCR, the biotinylated nucleotide were incorporated into the cRNA during the in vitro transcription reaction. The high quality RNA was hybridized to the gene expression array--human genome U133A developed by Affymetrix. It was scanned by G2500A GeneArray Scanner and the acquired image was analysed by a series of softwares. The results showed that 5,507 genes were differentially expressed between human acute leukemia cell line HL-60 and VCR-resistant HL-60. Compared with HL-60, 3,100 genes were up-regulated and 2,407 genes were down-regulated in VCR-resistant cell line. These genes were involved in different cell activities such as growth regulation and signal transduction. Among the genes with remarkable differential expression between the two cell lines, 435 were up-regulated and 605 were down-regulated. It is concluded that many different kinds of genes are involved in the mechanism of MDR and there is an intricate molecular network that controls the sensitivity of leukemia cells to the chemotherapeutic agents. Genechip is an efficient tool for parallel gene expression analysis.

Drug Resistance, Neoplasm↗

PubMed2002

Gene expression profiling for pharmaceutical toxicology screening.

Advances in medicinal chemistry and high-throughput pharmacological screening are creating a multitude of potential lead compounds. There is also heightened concern about drug-induced toxicity, which is all too often uncovered late in development or at the post marketing stage. Together, these factors have created a need for novel approaches to screen for toxicity. There have been technological advances that enable study of changes in the gene expression profile caused by toxic insults and important steps made toward unraveling target organ toxicity at the molecular level. Thus, gene expression profile-based screens hold the promise to revolutionize the way in which compounds are selected for development. For screens focused on specific mechanisms of toxicity, reporter gene systems have proven utility, albeit modest because of our limited knowledge of which genes are true surrogate markers for toxicity. For broader forecasts of toxicity, DNA microarrays hold great promise for delivering practical gene expression profile screens (GEPS). For this promise to be realized, however, a number of technological hurdles must be cleared: (i) cost; (ii) reproducibility; (iii) throughput; and (iv) data analysis. Of equal if not greater importance, issues relating to the test systems used, the requisite number of genes to be studied and the size and scope of the database upon which forecasts will be based must be addressed. At present, the proof-of-concept for GEPS for toxicity is in hand, and we are poised to realize the goal of creating practical GEPS for application in compound prioritization.

Animals↗

PubMed2006

[Effect of realgar on the gene expression profile of multiple myeloma cell line RPMI 8226].

OBJECTIVE: To explore the effect of realgar on the gene expression profiles of multiple myeloma cell line RPMI 8226 by apply cDNA microarray. METHODS: The gene expression of RPMI 8226 cells before and after 48 hours of realgar treatment was determined with a cDNA microarray representing 4096 human genes. RESULTS: At the mRNA level, 164 genes were differentially altered; 53 genes were up-regulated; and 111 genes were down-regulated. CONCLUSION: The realgar treatment to RPMI 8226 cell line may induce a number of gene changes. Many genes may be involved in the pathogenesis of multiple myeloma. BTG1, ALK1, and TXNIP genes may play an important role in the apoptosis and differentiation of RPMI 8226 cells.

Arsenicals↗

PubMed2006

Gene expression profiling of human mast cell subtypes: an in silico study.

BACKGROUND: Human mast cells (MCs) were classified into at least two subtypes, i.e., tryptase- and chymase-positive MCs (MC(TC)) and tryptase-only-positive MCs (MC(T)). However, differences in global molecular expression between these subtypes are unknown. METHODS: We analyzed public microarray data of MC subtypes derived from various tissues and those of peripheral blood granulocytes by using hierarchical clustering methods to understand the global gene expression profiles. RESULTS: All the transcripts subjected to this clustering analysis were classified into two large clusters, i.e., MC-preferential or granulocyte-preferential. In the original works, MCs from tonsil, lung and skin had been cultured for more than several weeks to obtain highly viable and pure cell populations, and these MCs retained their typical profiles such as intensities of chymase protein expression. Most of the transcripts were commonly expressed by these MC subtypes. However, tonsil-derived MCs and skin-derived MCs but not lung-derived MCs expressed high levels of chymase (CMA1) as expected for the properties of MC(TC) and MC(T). These CMA1-high MCs and CMA1-low MCs respectively expressed distinct sets of transcripts as small gene clusters as well as CMA-1 even after being cultured in the absence of a tissue environment. CONCLUSIONS: The MC lineage seems to be far from the granulocyte lineages including basophils. CMA1-high MCs (MC(TC)) and CMA1-low MCs (MC(T)) can be regarded as differentiated MC subtypes. As such, importance of data analysis studies will be increasing along with the accumulation of global molecular data in the public database.

Cells, Cultured↗

PubMed2004

Expression profiles of zinc transporters in rodent placental models.

Zinc is a vital metal that is a structural and functional component of many proteins. The precise mechanism of zinc transport in the placenta remains unclear. In this study, we investigated the expression of zinc transporters (ZnTs) in the mouse placenta and in two rat trophoblast cell lines, TR-TBT cells, which are syncytiotrophoblast cells of the labyrinth zone, and Rcho-1 cells, which retain trophoblast cell features and differentiate into trophoblast giant cells of the junctional zone. All of the ZnTs that have been identified in mice (ZnT1-7) were detected in the mouse placenta by RT-PCR. The expression profiles of ZnTs in the placenta during pregnancy were different. The mRNA levels of ZnTs, with the exception of ZnT7, did not change during pregnancy. The ZnT7 mRNA level in placenta was elevated during pregnancy. In TR-TBT cells, ZnT1, ZnT3 and ZnT4 were detected by RT-PCR analysis. In Rcho-1 cells, all of the ZnTs that have been identified in rats (ZnT1-4) were detected by RT-PCR analysis. There were no differences between the mRNA expression levels of ZnT family members in undifferentiated Rcho-1 cells and differentiated Rcho-1 cells. This is the first report of expression profiles of ZnTs during differentiation of the placenta in the mouse placenta and rat placental cell models.

Animals↗

PubMed2006

Sequence biases in large scale gene expression profiling data.

We present the results of a simple, statistical assay that measures the G+C content sensitivity bias of gene expression experiments without the requirement of a duplicate experiment. We analyse five gene expression profiling methods: Affymetrix GeneChip, Long Serial Analysis of Gene Expression (LongSAGE), LongSAGELite, 'Classic' Massively Parallel Signature Sequencing (MPSS) and 'Signature' MPSS. We demonstrate the methods have systematic and random errors leading to a different G+C content sensitivity. The relationship between this experimental error and the G+C content of the probe set or tag that identifies each gene influences whether the gene is detected and, if detected, the level of gene expression measured. LongSAGE has the least bias, while Signature MPSS shows a strong bias to G+C rich tags and Affymetrix data show different bias depending on the data processing method (MAS 5.0, RMA or GC-RMA). The bias in the Affymetrix data primarily impacts genes expressed at lower levels. Despite the larger sampling of the MPSS library, SAGE identifies significantly more genes (60% more RefSeq genes in a single comparison).

Animals↗

PubMed2001

Expression profiling of gastric adenocarcinoma using cDNA array.

To investigate the expression profile of gastric adenocarcinoma, cDNA array experiments were performed using Atlas Human Cancer 1.2 K Array (Clontech Laboratories, Palo Alto, CA) on nine xenografted and two primary gastric cancer samples. The expression of the tumor samples was compared to that of two normal gastric epithelial tissues. The expression pattern of the primary tumors was similar to that of xenografted tumors. The up-regulated genes had expression ratios ranging from 2.5 to 16, whereas the down-regulated genes had a range from -2.5 to -16. No variation in gene expression was detected in the analysis of the xenografted tumors versus the primary tumors, indicating that the xenografts represented the primary tumors well. Thirty-eight genes showed altered gene expression in 5 or more samples (>45%). Thirty-one genes were up-regulated and seven genes were down-regulated. The most abundantly up-regulated genes (ratio >5) included genes such as S100A4, CDK4, MMP14 and beta catenin. The GIF was markedly down-regulated (ratio < -10). To confirm our findings, six genes (three up- and three down-regulated) were selected for semi-quantitative RT-PCR analysis. The RT-PCR results were consistent with the array findings. Our approach revealed that several genes are abnormally expressed in gastric cancer and found that genes known to interact in several common molecular pathway(s) were consistently altered.

Adenocarcinoma↗

PubMed2004

Incongruent expression profiles between human and mouse orthologous genes suggest widespread neutral evolution of transcription control.

Rapid rates of evolution can signify either a lack of selective constraint and the consequent accumulation of neutral alleles, or positive Darwinian selection driving the fixation of advantageous alleles. Based on a comparison of 1,350 orthologous gene pairs from human and mouse, we show that the evolution of gene expression profiles is so rapid that it is comparable to that of paralogous gene pairs or randomly paired genes. The expression divergence in the entire set of orthologous pairs neither strongly correlates with sequence divergence, nor focuses in any particular tissue. Moreover, comparing tissue expressions across the orthologous gene pairs, we observe that any human tissue is more similar to any other human tissue examined than to its corresponding mouse tissue. Collectively, these results indicate that, while some differences in expression profiles may be due to adaptive evolution, the levels of divergence are mostly compatible with a neutral mode of evolution, in which a mutation for ectopic expression may rise to fixation by random drift without significantly affecting the fitness. A disturbing corollary of these findings is that knowledge of where the gene is expressed may not carry information about its function.

Animals↗

PubMed2005

Analysis of tumor-host interactions by gene expression profiling of lung adenocarcinoma xenografts identifies genes involved in tumor formation.

Tumor cell lines are relied on extensively for cancer investigations, yet cultured cells in an in vitro environment differ considerably in behavior compared with those of the same cancer cells that proliferate and form tumors in vivo. To uncover gene expression changes related to tumor formation, gene expression profiles of human lung adenocarcinoma (A549) cells grown as lung tumors in immune-compromised mice were compared with profiles of the same cells grown in vitro. Additionally, profiles of uninvolved adjacent mouse tissue were determined. A profound interplay between cancer cells and the host was shown that affected a complex protein interaction network involving processes of extracellular interaction, growth factor signaling, hemostasis, immune response, and transcriptional regulation. Growth in vivo of A549 cells, which carry an activating k-ras mutation, induced changes in gene expression that corresponded highly to a pattern characteristic of human lung tumors with k-ras mutation. Cytokines interleukin-4, interleukin-6, and IFN-gamma each induced distinct in vitro genomic responses in cancer cells that emulated many of the changes in gene expression observed in vivo. Genes that were both selectively induced in vivo and overexpressed in human lung adenocarcinoma tumors included CSPG2, which has not been associated previously with tumor formation. Knockdown in A549 of CSPG2 by RNA interference significantly inhibited tumor growth in vivo but not in vitro. Thus, analysis of tumor xenografts by gene expression profiling has the potential for identifying genes involved in tumor development that may not be expressed in cancer cells grown in vitro.

Adenocarcinoma↗

PubMed2002

Expression profiles of 109 apoptosis pathway-related genes in 82 mouse tissues and experimental conditions.

Apoptosis is an important process in development and tissue homeostasis. To understand the similarities and differences in the apoptosis machinery in different normal, developmental, and diseased tissues, the expression profiles of 109 apoptosis-pathway-related genes in 82 mouse tissues and experimental conditions were examined using Incyte Mouse GEMI cDNA arrays. It has been found that the compositions of the apoptotic machinery vary among different tissues, developmental stages, and disease states, with subsets of apoptotic genes co-ordinately expressed in the 82 tissues and experimental conditions. Additional genes whose expression profiles resemble selected genes from the 109 apoptotic gene list were also identified. This study provides valuable information on possible molecular mechanisms of differential apoptotic responses to developmental signals, environmental stimuli, and therapeutic treatments in tissue-specific manner.

Animals↗

PubMed2001

Identification of genes induced in peripheral nerve after injury. Expression profiling and novel gene discovery.

Peripheral nerve injury results in axonal degeneration and in phenotypic changes of the surrounding Schwann cells, whose presence is critical for nerve regeneration. To identify genes induced after nerve injury in Schwann cells, we developed a strategy that included differential screening of a subtractive library enriched for cDNAs expressed in injured nerve, sequence analysis, and expression profiling. By using real time quantitative reverse transcriptase-polymerase chain reaction, we found that injury-induced genes could be categorized into four temporal expression patterns. Among the clones we identified were a number that were homologous only to expressed sequence tags in the data base. These were stratified based on their expression profile, presence of identifiable sequence motifs, homologies to other proteins, and evolutionary conservation. We chose one representative gene, nin283, to analyze in detail. The nin283 gene encodes a 227-residue protein containing both a zinc finger and a RING finger motif. nin283 is highly expressed in the central nervous system, particularly in the developing cortical plate in embryos. It is also expressed in peripheral ganglia and is induced by nerve growth factor in PC12 cells. Subcellular localization analysis demonstrated that Nin283 is located in the endosome/lysosome compartment, suggesting that it may participate in ubiquitin-mediated protein modification.

Amino Acid Motifs↗

PubMed2006

Gene expression profiling in cervical cancer: an exploration of intratumor heterogeneity.

PURPOSE: To explore intratumor heterogeneity in gene expression profiles from patients with cervical cancer. EXPERIMENTAL DESIGN: A total of 33 biopsies were obtained from 11 patients, sampling between two and five different areas for each tumor. The extracted RNA was hybridized onto the Affymetrix U133 Plus 2.0 oligonucleotide chip. The variance of expression within a patient (W), between patients (B) and the total variance (T = W + B) were calculated for each ProbeSet, and the ratio W/T was used as a measure of intratumor heterogeneity. Gene Ontology functional analysis was done to assess the function of genes that had high W/T (top 10%) and low W/T (bottom 10%) values. RESULTS: In total, 448 ProbeSets (2.2% of the total) had W/T < 0.10, indicating low intratumor heterogeneity, and 537 ProbeSets (2.7% of the total) had W/T > 0.90, indicating high intratumor heterogeneity. In total 14,473 ProbeSets (72.4%) had higher intertumor than intratumor heterogeneity (W/T < 0.5). Genes with low intratumor heterogeneity were characterized by a statistically significant enrichment of immune-related functions (P < 0.0001). Genes with high intratumor heterogeneity were characterized by a significant tendency towards nuclear localization and nucleic acid binding (both P < 0.0001). For genes with W/T > 0.5, more than six biopsies would be required to minimize the intratumoral heterogeneity to <0.15; if W/T is 0.3 to 0.4, four biopsies are required; and for low W/T of 0.16 to 0.3, only two to three biopsies would be needed. CONCLUSION: Although the intratumor heterogeneity was low for the majority of the tested ProbeSets, for many genes, multiple biopsies are required to obtain a reliable estimate of gene expression.

Adenocarcinoma↗

PubMed2003

Heat-stress-dependency and developmental modulation of gene expression: the potential of house-keeping genes as internal standards in mRNA expression profiling using real-time RT-PCR.

The potential of different house-keeping genes for their use as internal standards of gene expression under changing environmental conditions and in different organs of plants was assessed. Using real-time PCR mRNA levels were precisely quantified for preselected actin and ribosomal protein genes in Arabidopsis thaliana (L.) Heinh. and Nicotiana tabacum L. grown at normal temperature and following heat stress. In tobacco leaves the mRNA levels of the constitutively expressed ribosomal protein gene Nt-L25 and the actin genes Nt-ACT9 and At-ACT66 were strongly reduced (to approximately 10%) during heat stress. Heat stress applied at the temperature optimum (37 degrees C) for elicitation of a heat stress response to Arabidopsis leaves resulted in a strong induction (several thousand-fold) of the mRNA heat shock protein genes, At-HSP17.6 and At-HSP18.2. Concomitantly, the mRNA levels of constitutively expressed actin 2 (At-ACT2) and ribosomal protein L23 (At-L23a) genes were reduced to approximately 50% of the levels in leaves incubated at room temperature. Conversely, under severe heat stress conditions (44 degrees C), the induction of At-HSP17.6 and At-HSP18.2 mRNAs was insignificant, the mRNA levels of At-ACT2 remained at approximately the same levels as in leaves incubated at room temperature, whereas the mRNA level of At-L23 declined. The mRNA levels of At-ACT2 and At-L23a examined in stem, flower and siliques of Arabidopsis plants grown under non-stress condition showed differential alterations; the mRNA level of ribosomal protein L23 correlates with the metabolic activity of tissues. The potential use of house-keeping gene expression as standards in expression profiling and the mechanisms modulating the mRNA levels are discussed.

Actins↗

PubMed2006

Renal gene expression profiling using kinin B1 and B2 receptor knockout mice reveals comparable modulation of functionally related genes.

The kinin B2 receptor, which is constitutively expressed in a large number of tissues, mediates most of the known effects of bradykinin (BK). Normally undetectable in healthy tissues, the B1 receptor is strongly over-expressed under pathological conditions. BK is an important mediator in renal homeostasis and is mainly known for its natriuretic and vasodilatory effects. Recent data evidenced a role for BK in many other biological processes, such as apoptosis, development, extracellular matrix regulation and angiogenesis. In a first step to better understand how BK and its receptors could be involved in such a large variety of biological effects, we used microarray analysis to identify, under physiological conditions, the global renal gene expression profile in mice lacking either the kinin B1 or B2 receptor. Microarray experiments were performed using Agilent Mouse Oligonucleotide Microarrays (21,000 genes/microarray). Interestingly, there was a considerable number of mostly downregulated genes in both BK null mouse models compared with wild-type mice. Furthermore, a number of genes that are known to be implicated in renal physiology and/or pathology were differentially expressed in the BK null mice, which is indicative of the important role of both BK receptors in renal function.

Animals↗

PubMed2005

Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models.

BACKGROUND: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases statistical power of detecting differentially expressed genes and allows assessment of heterogeneity. The challenge, however, is in designing and implementing efficient analytic methodologies for combination of data generated by different research groups. RESULTS: We extended traditional effect size models to combine information from different microarray datasets by incorporating a quality measure for each gene in each study into the effect size estimation. We illustrated our method by integrating two datasets generated using different Affymetrix oligonucleotide types. Our results indicate that the proposed quality-adjusted weighting strategy for modelling inter-study variation of gene expression profiles not only increases consistency and decreases heterogeneous results between these two datasets, but also identifies many more differentially expressed genes than methods proposed previously. CONCLUSION: Data integration and synthesis is becoming increasingly important. We live in a high-throughput era where technologies constantly change leaving behind a trail of data with different forms, shapes and sizes. Statistical and computational methodologies are therefore critical for extracting the most out of these related but not identical sources of data.

Algorithms↗

PubMed2005

Differential gene expression profiling between wild-type and ALAS2-null erythroblasts: identification of novel heme-regulated genes.

To identify erythroid-specific heme-regulated genes, we performed differential expression analysis between wild-type and heme-deficient erythroblasts, which had been prepared from wild-type and erythroid-specific delta-aminolevulinate synthase-null mouse ES cells, respectively. Among 8737 clones on cDNA array, 40 cDNA clones, including 34 unknown ESTs, were first selected by their high expression profiles in wild-type erythroblasts, and evaluated further for their erythroid-lineage specificity, expression in hematopoietic tissues in vivo, and heme-dependent expression, which yielded 11, 4, and 4 genes, respectively. Because of the selection strategy employed, the final 4 were considered as the newly identified erythroid-specific heme-regulated genes. These 4 genes were uncoupling protein 2, nucleolar spindle-associated protein, cellular nucleic acid-binding protein, and a novel acetyltransferase-like protein. These findings thus suggest that heme may regulate a wide variety of hitherto unrecognized genes, and further analysis of these genes may clarify their role in erythroid cell differentiation.

5-Aminolevulinate Synthetase↗

PubMed2002

Expression profile of proteins involved in the xenotransplantability of non-small cell lung cancers into athymic nude mice.

The aim of this study was to evaluate the expression profile of proteins involved in growing of human non-small cell lung cancer (NSCLC) in athymic nude mice. The expressions of 20 gene products in primary NSCLC of 170 patients were analyzed and the proteins were correlated with the transplantability of the carcinomas in nude mice. There was no relationship between xenotransplantability of human non-small cell lung cancer in nude mice and histology, stage or lymph node involvement. Of the analyzed proliferative factors PCNA, cyclin A, cyclin D, cdk2, cdk4 and cell cycle phases only cyclin D, cdk4 and the cell cycle phases were up-regulated in growing carcinomas. There was also a correlation between the apoptotic indices and the take rate in nude mice. Concerning microvessel density and angiogenic factors only VEGF showed a relation to xenotransplantability. Of the proto-oncogenes and suppressor gene products N-RAS, P53, FOS and JUN revealed a relationship to the take rate of NSCLC, while such a relationship was not found with MYC, ERBB-1 and ERBB-2. In a second step, a hierarchical cluster analysis was carried out. The resulting clusters were correlated with the take rate of the carcinomas in nude mice. The expression of JUN, N-RAS, FOS, cyclin D, and cdk4 were significantly different in both groups with non- overlapping confidence intervals. Thus, the up-regulation of the proteins JUN, N-RAS, FOS, cyclin D and cdk4 predicts the growth of NSCLC in nude mice.

Animals↗

PubMed2001

Gene expression profile analysis by DNA microarrays: promise and pitfalls.

DNA microarrays represent a technological intersection between biology and computers that enables gene expression analysis in human tissues on a genome-wide scale. This application can be expected to prove extremely valuable for the study of the genetic basis of complex diseases. Despite the enormous promise of this revolutionary technology, there are several issues and possible pitfalls that may undermine the authority of the microarray platform. We discuss some of the conceptual, practical, statistical, and logistical issues surrounding the use of microarrays for gene expression profiling. These issues include the imprecise definition of normal in expression comparisons; the cellular and subcellular heterogeneity of the tissues being studied; the difficulty in establishing the statistically valid comparability of arrays; the logistical logjam in analysis, presentation, and archiving of the vast quantities of data generated; and the need for confirmational studies that address the functional relevance of findings. Although several complicated issues must be resolved, the potential payoff remains large.

Gene Expression Profiling↗