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Results for “Gene expression analysis”

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At least 73 records · Page 4Linked to original sources
PubMed2005

A class of models for analyzing GeneChip gene expression analysis array data.

BACKGROUND: Various analytical methods exist that first quantify gene expression and then analyze differentially expressed genes from Affymetrix GeneChip gene expression analysis array data. These methods differ in the choice of probe measure (quantification of probe hybridization), summarizing multiple probe intensities into a gene expression value, and analysis of differential gene expression. Research papers that describe these methods focus on performance, and how their approaches differ from others. To better understand the common features and differences between various methods, and to evaluate their impact on the results of gene expression analysis, we describe a class of models, referred to as generalized probe models (GPMs), which encompass various currently available methods. RESULTS: Using an empirical dataset, we compared different formulations of GPMs, and GPMs with three other commonly used methods, i.e. MAS 5.0, dChip, and RMA. The comparison shows that, on a genome-wide scale , different methods yield similar results if the same probe measures are chosen. CONCLUSION: In this paper we present a general framework, i.e. GPMs, which encompasses various methods. GPMs permit the use of a wide range of probe measures and facilitate appropriate comparison between commonly used methods. We demonstrate that the dissimilar results stem primarily from different choice of probe measures, rather than other factors.

Algorithms↗
PubMed2006

Use of iris pigment epithelium to replace retinal pigment epithelium in age-related macular degeneration: a gene expression analysis.

OBJECTIVE: To determine the gene expression profiles of primary retinal pigment epithelium (RPE) and iris pigment epithelium (IPE) using microarrays. METHODS: Primary RPE and IPE from 6 human donor eyes were collected, and total RNA was isolated. Differences in gene expression were determined using a human genechip (human U95Av2 [12 600 probes]; Affymetrix Inc, Santa Clara, Calif). RESULTS: Hierarchical cluster analysis differentiated the gene expression profiles of RPE and IPE clusters into 2 distinct groups. A mean +/- SD of 5308 +/- 416 gene probes were expressed in RPE vs 6130 +/- 205 in IPE. Sixty-eight genes were expressed only in RPE; 154 genes were expressed only in IPE. Twenty-two additional genes had greater than 3-fold increased expression in RPE vs IPE, and 147 genes had greater than 3-fold decreased expression in RPE vs IPE. CONCLUSION: There are major differences in the gene expression profiles of primary RPE vs IPE. Clinical Relevance The different gene expression profiles of primary RPE vs IPE harvested from the same donor eyes infer that it may be difficult for IPE to replace all aspects of damaged RPE function in transplantation studies.

Aged↗
PubMed2004

A method for gene expression analysis by oligonucleotide arrays from minute biological materials.

Gene expression profiling has been widely used in identifying differentially expressed genes. One of the most popular formats is oligonucleotide array. A limitation of oligonucleotide arrays is the requirement of relatively large amounts of biological starting materials for gene expression analysis. We have developed a simple method for gene expression profiling from very small amounts of biological material by combining exponential (PCR) and linear (T7 RNA polymerase) amplification. By modifying the widely used SMART protocol, we combined T7 promoter ligation and PCR amplification in one step and generated around 0.5 microg of PCRcDNA from 30 ng of total RNA in a single PCR. The PCRcDNA was in vitro transcribed by T7 RNA polymerase to generate complementary RNA (cRNA), which then was used to hybridize Affymetrix GeneChips. Our results demonstrated a linear correlation between the PCR amplification and the conventional linear amplification in gene expression ratios of individual transcript species between two different RNA preparations. The method was further validated by TaqMan reactions. Moreover, both linear and PCR methods showed some inherent bias as to which transcripts were detected, suggesting that using both in parallel may provide a more comprehensive coverage of the transcriptome present in a given sample.

Base Sequence↗
PubMed2001

Gene expression analysis in human renal allograft biopsy samples using high-density oligoarray technology.

BACKGROUND: High-density oligoarray technology is a novel method for screening the expression of thousands of genes in a small tissue sample. Oligoarray analysis of genes expressed during human renal allograft rejection has not been reported previously. METHODS: Seven human renal allograft biopsies with histologic evidence of acute cellular rejection and three renal allograft biopsies without evidence of rejection (control) were analyzed for the expression of 6800 human genes using high-density oligoarrays (GeneChip, Affymetrix, Santa Clara, CA). Quantitative expression of gene transcripts was determined and a comparison analysis between acute rejection and control biopsy samples was performed. Up-regulation of a specific gene transcript during acute rejection was considered to be significant if transcript abundance increased fourfold or more relative to control biopsy samples. RESULTS: Comparison analysis revealed that between 32 and 219 gene transcripts are up-regulated (>fourfold) during acute rejection. Of these transcripts, only four (human monokine induced by interferon-gamma, T-cell receptor active beta-chain protein, interleukin-2 stimulated phosphoprotein, and RING4 (a transporter involved in antigen presentation)) were consistently up-regulated in each acute rejection sample relative to at least two of three control biopsy samples. Six other genes were up-regulated in six of seven acute rejection samples. These were interferon-stimulated growth factor-3, complement factor 3, nicotinamide N-methyltransferase, macrophage inflammatory protein-3beta, myeloid differentiation protein, and CD18. Only two gene transcripts were down-regulated in five of seven acute rejection samples. Significant up-regulation of cytotoxic T-cell effector molecules, previously reported as markers of acute renal rejection in humans, was not detected. CONCLUSIONS: High-density oligoarray technology is useful for screening gene expression in transplanted tissues undergoing acute rejection. Because this method does not rely on a priori knowledge of which genes are involved in acute rejection, it is likely to yield novel insights into the mechanisms and diagnosis of rejection.

ATP Binding Cassette Transporter, Subfamily B, Mem↗
PubMed2004

Phenotypic and microarray gene expression analysis of tri-dimensional raft-modeled human head and neck squamous cell carcinoma.

OBJECTIVES: To describe the phenotypic and gene expression differences in monolayer and tri-dimensional cultures systems. METHODS: Normal oral epithelial cells (NOEC), primary head and neck squamous cell carcinoma (HNSCC), and HNSCC cell lines were used to create and study modeled tri-dimensional tissue. Using cDNA microarray analysis, monolayer and raft-modeled tri-dimensional HNSCC cell lines were compared. RESULTS: NOEC, HNSCC, and both together can be modeled with tri-dimensional differentiation and cytokeratin characteristics analogous to in vivo tissue. Modeling of primary HNSCC resulted in a morphology of invasive HNSCC with areas of direct collagen invasion and MMP2 expression. Gene array analysis suggests that the individual cell lines themselves are the primary gene expression predictor and not the presence of tri-dimensional tissue architecture. CONCLUSIONS: This tissue culture modeling system approximates the differentiation and tri-dimensional structure of in vivo tissues, and that raft modeled tri-dimensional HNSCC does not have a significantly different gene expression profile than the corresponding monolayer culture.

Carcinoma, Squamous Cell↗
PubMed2006

Comparative gene expression analysis reveals a characteristic molecular profile of the superior olivary complex.

The superior olivary complex (SOC) is a very conspicuous structure in the mammalian auditory brainstem. It represents the first binaural processing center and is important for sound localization in the azimuth and in feedback regulation of cochlear function. In order to define molecular determinants of the SOC, which are of potential functional relevance, we have performed a comprehensive analysis of its transcriptome by serial analysis of gene expression in adult rats. Here, we performed a detailed analysis of the SOC's gene expression profile compared to that of two other neural tissues, the striatum and the hippocampus, and with extraocular muscle tissue. This tested the hypothesis that SOC-specific or significantly upregulated transcripts provide candidates for the specific function of auditory neurons. Thirty-three genes were significantly upregulated in the SOC when compared to the two other neural tissues. Thirteen encoded proteins involved in neurotransmission, including action potential propagation, exocytosis, and myelination; five genes are important for the energy metabolism, and five transcripts are unknown or poorly characterized and have yet to be described in the nervous system. The comparison of functional gene classes indicates that the SOC has the highest energy demand of the three neural tissues, yet protein turnover is apparently not increased. This suggests a high energy demand for fueling auditory neurotransmission. Such a demand may have implications on auditory-specific tasks and relate to central auditory processing disorders. Ultimately, these data provide new avenues to foster investigations of auditory function and to advance molecular physiology in the central auditory system.

Animals↗
PubMed1991

Control of bacteriophage P2 gene expression: analysis of transcription of the ogr gene.

The bacteriophage P2 ogr gene encodes an 8.3-kDa protein that is a positive effector of P2 late gene transcription. The ogr gene is preceded by a promoter sequence (Pogr) resembling a normal Escherichia coli promoter and is located just downstream of a late transcription unit. We analyzed the kinetics and regulation of ogr gene transcription by using an ogr-specific antisense RNA probe in an S1 mapping assay. During a normal P2 infection, ogr gene transcription starts from Pogr at an intermediate time between the onset of early and late transcription. At late times after infection the ogr gene is cotranscribed with the late FETUD operon; the ogr gene product thus positively regulates its own synthesis from the P2 late promoter PF. Expression of the P2 late genes also requires P2 DNA replication. Complementation experiments and transcriptional analysis show that a nonreplicating P2 phage expresses the ogr gene from Pogr but is unable to transcribe the late genes. A P2 ogr-defective phage makes an increased level of ogr mRNA, consistent with autogenous control from Pogr. Transcription of the ogr gene in the prophage of a P2 heteroimmune lysogen is stimulated after infection with P2, suggesting that Pogr is under indirect immunity control and is activated by a yet-unidentified P2 early gene product during infection.

Coliphages↗
PubMed2006

Gene expression analysis of wild Leishmania major isolates: identification of genes preferentially expressed in amastigotes.

Trying to identify virulence genes of wild Leishmania (L.) major parasites, the species responsible for zoonotic cutaneous leishmaniasis, we compared, using differential display technique, gene expression in two L. major isolates obtained from human lesions and characterized by their contrasting pathogenicity in the BALB/c mouse model. The analysis was performed on amastigotes derived from BALB/c mice lesions. A total of 13 different clones were identified, but the use of reverse transcription and real-time polymerase chain reaction technique did not allow us to confirm any of these clones as differentially expressed. However, the fact that we used the amastigote stage of the parasite led us the identification of amastigote-specific genes, essentially (8 among 13). They are overexpressed, two to seven times, in amastigotes relative to promastigotes. Sequence analysis revealed that two of them namely LPG3 and the ATP dependent RNA helicase correspond to previously described amastigote-specific genes. The others correspond to genes involved in important biological process. Their better characterization could help the development of new drugs targeting the processes in which these molecules are involved.

Animals↗
PubMed2006

Gene expression analysis of dendritic/Langerhans cells and Langerhans cell histiocytosis.

Langerhans cell histiocytosis (LCH) is a neoplastic disorder that results in clonal proliferation of cells with a Langerhans cell (LC) phenotype. The pathogenesis of LCH is still poorly understood. In the present study, serial analysis of gene expression (SAGE) was applied to LCs generated from umbilical cord blood CD34+ progenitor cells to identify LC-specific genes and the expression of these genes in LCH was investigated. Besides the expression of several genes known to be highly expressed in LCs and LCH such as CD1a, LYZ, and CD207, high expression of genes not previously reported to be expressed in LCs, such as GSN, MMP12, CCL17, and CCL22, was also identified. Further analysis of these genes by quantitative RT-PCR revealed high expression of FSCN1 and GSN in all 12 LCH cases analysed; of CD207, MMP12, CCL22, and CD1a in the majority of these cases; and CCL17 in three of the 12 cases. Immunohistochemistry confirmed protein expression in the majority of cases. The expression of MMP12 was most abundant in multi-system LCH, which is the LCH type with the worst prognosis. This suggests that expression of MMP12 may play a role in the progression of LCH. These data reveal new insight into the pathology of LCH and provide new starting points for further investigation of this clonal proliferative disorder.

Antigens, CD↗
PubMed2005

Novel plasmids for gene expression analysis and for genetic manipulation in the gastric pathogen Helicobacter pylori.

To facilitate gene expression analysis in the human gastric pathogen Helicobacter pylori, we constructed the plasmids pHPLAC-KAN and pHPLAC-CAT containing a promoterless Escherichia coli lacZ gene located upstream from the antibiotic resistance genes aphA-3 or cat, respectively. The suitability of the plasmids for H. pylori mutagenesis and gene expression analysis was evaluated by plasmid integration into the genome of H. pylori strain 1061 by single homologous recombination, using the rpl9 gene encoding ribosomal protein L9 as target. By monitoring beta-galactosidase production from the resulting rpl9::lacZ fusion, it was demonstrated that H. pylori rpl9 displays the classical growth phase-dependent regulation of components of the protein synthesis machinery, as beta-galactosidase production dropped fivefold in the stationary growth phase. The plasmids described in this study extend our methodological repertoire for genetic modification and molecular analysis of H. pylori, and may also be of use for other bacteria, as the resistance cassettes and the lacZ gene are active in the related Campylobacter species.

Bacterial Proteins↗
PubMed2006

Global gene expression analysis of iron-inducible genes in Magnetospirillum magneticum AMB-1.

Iron uptake systems were identified by global expression profiling of Magnetospirillum magneticum AMB-1. feo, tpd, and ftr, which encode ferrous iron transporters, were up-regulated under iron-rich conditions. The concomitant rapid iron uptake and magnetite formation suggest that these uptake systems serve as iron supply lines for magnetosome synthesis.

Ferrosoferric Oxide↗
PubMed2004

A method for cross-species gene expression analysis with high-density oligonucleotide arrays.

DNA microarrays have been widely used in gene expression analysis of biological processes. Due to a lack of sequence information, the applications have been largely restricted to humans and a few model organisms. Presented within this study are results of the cross-species hybridization with Affymetrix human high-density oligonucleotide arrays or GeneChip using distantly related mammalian species; cattle, pig and dog. Based on the unique feature of the Affymetrix GeneChip where every gene is represented by multiple probes, we hypothesized that sequence conservation within mammals is high enough to generate sufficient signals from some of the probes for expression analysis. We demonstrated that while overall hybridization signals are low for cross-species hybridization, a few probes of most genes still generated signals equivalent to the same-species hybridization. By masking the poorly hybridized probes electronically, the remaining probes provided reliable data for gene expression analysis. We developed an algorithm to select the reliable probes for analysis utilizing the match/mismatch feature of GeneChip. When comparing gene expression between two tissues using the selected probes, we found a linear correlation between the cross-species and same-species hybridization. In addition, we validated cross-species hybridization results by quantitative PCR using randomly selected genes. The method shown herein could be applied to both plant and animal research.

Algorithms↗
PubMed2004

Gold nanoparticle probe-based gene expression analysis with unamplified total human RNA.

Microarray-based gene expression analysis plays a pivotal role in modern biology and is poised to enter the field of molecular diagnostics. Current microarray-based gene expression systems typically require enzymatic conversion of mRNA into labeled cDNA or cRNA. Conversion to cRNA involves a target amplification step that overcomes the low sensitivity associated with commonly used fluorescent detection methods. Herein, we present a novel enzyme-free, microarray-based gene expression system that uses unamplified total human RNA sample as the target nucleic acid. The detection of microarray-bound RNA molecules is accomplished by targeting the poly-A tail with an oligo-dT20 modified gold nanoparticle probe, signal amplification by autometallography, and subsequent measurement of nanoparticle-mediated light scattering. The high sensitivity afforded by the nanoparticle probes allows differential gene expression from as little as 0.5 microg unamplified total human RNA in a 2 h hybridization without the need for elaborate sample labeling steps.

Biosensing Techniques↗
PubMed2003

A rapid and effective method of extracting fully intact RNA from thermophilic geobacilli that is suitable for gene expression analysis.

Extraction of intact RNA is essential for quantitative gene expression analysis. Isolating high quality RNA from gram-positive bacteria is known to be problematic particularly from organisms that have optimal growth temperatures greater than 45 degrees C. We report a novel extraction protocol for the rapid isolation of fully intact RNA from thermophilic Geobacillus thermoleovorans using a lysing matrix containing a mixture of ceramic and glass beads, triisopropylnaphthalene sulfonic acid (TNS), and p-4-aminosalicyclic acid (PAS). Combining both detergents, TNS and PAS, appeared to increase denaturation of RNases at thermophilic temperatures. Gel electrophoresis revealed that only RNA isolated using the TNS-PAS procedure demonstrated sharp, undegraded 23S, 16S, and 5S ribosomal RNA bands. RNA extracted from geobacilli using commercially available kits was extensively degraded and was not suitable for detecting gene expression. Total RNA yields extracted with the TNS-PAS protocol were greater than eightfold higher than those obtained with available kits. Critically, it was also shown that only RNA isolated with the TNS-PAS-based method was suitable for monitoring thermophile gene expression patterns using RT-PCR analysis.

Aminosalicylic Acid↗
PubMed2006

Real-time gene expression analysis in human xenografts for evaluation of histone deacetylase inhibitors.

Real-time analysis of gene expression in experimental tumor models represents a major tool to document disease biology and evaluate disease treatment. However, monitoring gene regulation in vivo still is an emerging field, and thus far it has not been linked to long-term tumor growth and disease outcome. In this report, we describe the development and validation of a fluorescence-based gene expression model driven by the promoter of the cyclin-dependent kinase inhibitor p21waf1,cip1. The latter is a key regulator of tumor cell proliferation and a major determinant in the response to many anticancer agents such as histone deacetylase inhibitors. In response to histone deacetylase inhibitors, induction of fluorescence in A2780 ovarian tumors could be monitored in living mice in a noninvasive real-time manner using whole-body imaging. Single p.o. administration of the histone deacetylase inhibitor MS-275 significantly induces tumor fluorescence in a time- and dose-dependent manner, which accurately predicted long-term antitumoral efficacy in individual mice following extended treatment. These findings illustrate that this technology allows monitoring of the biological response induced by treatment with histone deacetylase inhibitors. In addition to providing experimental pharmacokinetic/pharmacodynamic markers for investigational drugs, this model provides insight into the kinetics of in vivo regulation of transcription, which plays a key role in causing and maintaining the uncontrolled proliferation of tumor tissue.

Animals↗
PubMed2000

Fundamentals of DNA hybridization arrays for gene expression analysis.

DNA hybridization arrays [also known as macroarrays, microarrays and/or high-density oligonucleotide arrays (Gene Chips)] bring gene expression analysis to a genomic scale by permitting investigators to simultaneously examine changes in the expression of literally thousands of genes. For hybridization arrays, the general approach is to immobilize gene-specific sequences (probes) on a solid state matrix (nylon membranes, glass microscope slides, silicon/ceramic chips). These sequences are then queried with labeled copies of nucleic acids from biological samples (targets). The underlying theory is that the greater the expression of a gene, the greater the amount of labeled target, and hence, the greater output signal. In spite of the simplicity of the experimental design, there are at least four different platforms and several different approaches to processing and labeling the biological samples. Moreover, investigators must also determine whether they will utilize commercially available arrays or generate their own. This review will cover the status of the hybridization array field with an eye toward underlying principles and available technologies. Future developments and technological trends will also be evaluated.

Cluster Analysis↗