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Results for “expression analysis”

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PubMed2006

Gene expression analysis of distinct populations of cells isolated from mouse and human inner ear FFPE tissue using laser capture microdissection--a technical report based on preliminary findings.

Laser Capture Microdissection (LCM) allows microscopic procurement of specific cell types from tissue sections that can then be used for gene expression analysis. We first tested this method with sections of adult mouse inner ears and subsequently applied it to human inner ear sections. The morphology of the various cell types within the inner ear is well preserved in formalin fixed paraffin embedded (FFPE) sections, making it easier to identify cell types and their boundaries. Recovery of good quality RNA from FFPE sections can be challenging, however, recent studies in cancer research demonstrated that it is possible to carry out gene expression analysis of FFPE material. Thus, a method developed using mouse FFPE tissue can be applied to human archival temporal bones. This is important because the majority of human temporal bone banks have specimens preserved in formalin and a technique for retrospective analysis of human archival ear tissue is needed. We used mouse FFPE inner ear sections to procure distinct populations of cells from the various functional domains (organ of Corti, spiral ganglion, etc.) by LCM. RNA was extracted from captured cells, amplified, and assessed for quality. Expression of selected genes was tested by RT-PCR. In addition to housekeeping genes, we were able to detect cell type specific markers, such as Myosin 7a, p27(kip1) and neurofilament gene transcripts that confirmed the likely composition of cells in the sample. We also tested the method described above on FFPE sections from human crista ampullaris. These sections were approximately a year old. Populations of cells from the epithelium and stroma were collected and analyzed independently for gene expression. The method described here has potential use in many areas of hearing research. For example, following exposure to noise, ototoxic drugs or age, it would be highly desirable to analyze gene expression profiles of selected populations of cells within the organ of Corti or spiral ganglion cells rather than a mixed population of cells from whole inner ear tissue. Also, this method can be applied for analysis of human archival ear tissue.

Animals↗

PubMed2005

Gene expression analysis using a modified HiCEP method applicable to prokaryotes: a study of the response of Rhodococcus to isoniazid and ethambutol.

We established a novel method to analyze the gene expression of prokaryotes by modifying and optimizing the HiCEP (high coverage gene expression analysis) method, which was originally developed for eukaryotic gene expression profiling. Following the removal of abundant rRNA, the mRNA of prokaryotic cells was enzymatically polyadenylated and subjected to HiCEP analysis. This method was highly reproducible due to selective PCR that was performed by using adaptor specific primers. We confirmed induction of tipA and induction or suppression of cspA, which are genes that are obtained from distinctive actinomycetes and responded to thiostrepton and temperature stress, respectively. Further, we applied this method to explore the gene expression profile of Rhodococcus erythropolis in response to drugs that inhibit cell wall synthetic pathways, and we were able to identify 35 upregulated genes. Among these genes, we confirmed the upregulation of 22 genes by using RT-PCR (reverse transcriptase-polymerase chain reaction). Some of these genes are involved in the synthesis of mycolic acid and arabinogalactan, suggesting a cell response to drug treatment by regulation of the genes involved in cell wall synthesis. This method could prove to be a useful technique for gene expression analysis of prokaryotes, particularly nonmodel strains with unknown genome sequences.

Antitubercular Agents↗

PubMed2001

Quantitative gene expression analysis in microdissected archival formalin-fixed and paraffin-embedded tumor tissue.

Formalin-fixed, paraffin-embedded tissue is the most widely available material for retrospective clinical studies. In combination with the potential of genomics, these tissues represent an invaluable resource for the elucidation of disease mechanisms and validation of differentially expressed genes as novel therapeutic targets or prognostic indicators. We describe here an approach that, in combination with laser-assisted microdissection allows quantitative gene expression analysis in formalin-fixed, paraffin-embedded archival tissue. Using an optimized RNA microscale extraction procedure in conjunction with real-time quantitative reverse transcriptase-polymerase chain reaction based on fluorogenic TaqMan methodology, we analyzed the expression of a panel of cancer-relevant genes, EGF-R, HER-2/neu, FGF-R4, p21/WAF1/Cip1, MDM2, and HPRT and PGK as controls. We demonstrate that expression level determinations from formalin-fixed, paraffin-embedded tissues are accurate and reproducible. Measurements were comparable to those obtained with matching fresh-frozen tissue and neither fixation grade nor time significantly affected the results. Laser microdissection studies with 5-microm thick sections and defined numbers of tumor cells demonstrated that reproducible quantitation of specific mRNAs can be achieved with only 50 cells. We applied our approach to HER-2/neu quantitative gene expression analysis in 54 microdissected tumor and nonneoplastic archival samples from patients with Barrett's esophageal adenocarcinoma and showed that the results matched those obtained in parallel by fluorescence in situ hybridization and immunohistochemistry. Thus, the combination of laser-assisted microdissection and real-time TaqMan reverse transcriptase-polymerase chain reaction opens new avenues for the investigation and clinical validation of gene expression changes in archival tissue specimens.

Animals↗

PubMed2003

Yeast genome-wide expression analysis identifies a strong ergosterol and oxidative stress response during the initial stages of an industrial lager fermentation.

Genome-wide expression analysis of an industrial strain of Saccharomyces cerevisiae during the initial stages of an industrial lager fermentation identified a strong response from genes involved in the biosynthesis of ergosterol and oxidative stress protection. The induction of the ERG genes was confirmed by Northern analysis and was found to be complemented by a rapid accumulation of ergosterol over the initial 6-h fermentation period. From a test of the metabolic activity of deletion mutants in the ergosterol biosynthesis pathway, it was found that ergosterol is an important factor in restoring the fermentative capacity of the cell after storage. Additionally, similar ERG10 and TRR1 gene expression patterns over the initial 24-h fermentation period highlighted a possible interaction between ergosterol biosynthesis and the oxidative stress response. Further analysis showed that erg mutants producing altered sterols were highly sensitive to oxidative stress-generating compounds. Here we show that genome-wide expression analysis can be used in the commercial environment and was successful in identifying environmental conditions that are important in industrial yeast fermentation.

Ergosterol↗

PubMed2004

Integrated assessment by multiple gene expression analysis of quercetin bioactivity on anticancer-related mechanisms in colon cancer cells in vitro.

BACKGROUND: Many different mechanisms are involved in nutrient-related prevention of colon cancer. In this study, a comprehensive assessment of the spectrum of possible biological actions of the bioactive compound quercetin is made using multiple gene expression analysis. Quercetin is a flavonoid that can inhibit proliferation of tumor cells and reduce the number of aberrant crypt foci, although increase of number of colon tumors was also reported. AIM OF THE STUDY: In order to elucidate possible mechanisms involved in its mode of action the effect of quercetin on expression of 4000 human genes in Caco-2 cells was studied and related to functional effects. METHODS: Caco-2 cells were exposed to 5 or 50 microM quercetin for 48 hours, differential expression of 4000 human genes was studied using microarrays and related to functional effects. Differentially expressed genes were categorized in seven functional groups: cell cycle and differentiation, apoptosis, tumor suppressor genes and oncogenes, cell adhesion and cell-cell interaction, transcription, signal transduction and energy metabolism. Also, cell proliferation and cell cycle distribution were measured. RESULTS: Quercetin (5 microM) downregulated expression of cell cycle genes (for example CDC6, CDK4 and cyclin D1), downregulated cell proliferation and induced cell cycle arrest in Caco-2 cells. After exposure to 50 microM quercetin cell proliferation decreased to 51.3% of control, and further decrease of the percentage of cells in the G1 phase coincided with an increase of the percentage of cells in the sub-G1 phase. Quercetin upregulated expression of several tumor suppressor genes. In addition, genes involved in signal transduction pathways like beta catenin/TCF signalling and MAPK signal transduction were influenced by quercetin. CONCLUSIONS: This study shows that large-scale gene expression analysis in combination with functional assays yields a considerable amount of information on (anti-)carcinogenic potential of food components like quercetin.

Antineoplastic Agents↗

PubMed2001

[Differential expression analysis and cloning of murine thymic aged-related genes].

OBJECTIVE: Differential expression analysis and cloning of murine thymic aged-related genes. METHODS: Different expressions of thymic mRNAs from 1- and 10-month old mice were analyzed via DDRT-PCR and different expression sequence tags (ESTs) were obtained, following by identification with Northern Blotting, DNA sequencing, as well as screening of cDNA library. RESULTS: It was found that there would be a significant difference of gene expression in murine thymuses. Gene expression of some genes were exclusive in thymus from 1 or 10-month old mice, while some expressed different with age. 108 differential display cDNA fragments were recovered, among which 31 were positive for hybridization by Northern blot. After sequenced, 14 ESTs were found to share high homology to known genes, whereas remaining 17 were novel. A murine thymic cDNA library was screened by using one cDNA fragment that expressed with higher level in total RNA of 1-month old murine thymic tissues than 10-month old. Finally, one 1,470 bp fragment was cloned and showed a 99% of homology to murine transketolase. CONCLUSION: Expression of murine thymic genes has displayed a marked difference with age. These genes might be participated in thymic atrophy.

Aging↗

PubMedDate not supplied

In situ gene expression analysis of cancer using laser capture microdissection, microarrays and real time quantitative PCR.

The simultaneous development of laser capture microdissection (LCM) and high-throughput mRNA analysis platforms has provided a significant technological advance in the world of cancer biology. The combination of such technologies provides a unique and powerful opportunity to directly assess the in situ molecular genetic events that are associated with initiation and progression of human malignancies. Despite these technological advances, the integration of LCM with high-throughput gene expression analysis has been met with various challenges. The goal of this review is to highlight some of the obstacles that we have faced and continue to face as we try to optimally apply LCM to in situ gene expression analysis.

Gene Expression Regulation, Neoplastic↗

PubMed2005

Identification of novel biomarkers for Niemann-Pick disease using gene expression analysis of acid sphingomyelinase knockout mice.

Although several therapies are available or being developed for lysosomal storage disorders (LSDs), assessment of therapeutic efficacy is challenged by the lack of markers to assess disease progression and severity. This is particularly true for rare diseases such as LSDs, since natural history data from human populations are often lacking. Herein we describe the use of gene expression analysis in the acid sphingomyelinase-deficient mouse model (ASMKO) of Types A and B Niemann-Pick disease (NPD) to identify novel serum biomarkers. We used microarray and real-time PCR analyses to compare mRNA expression in ASMKO and normal mice in two important sites of pathology, lung and brain, and from these data identified and validated several potential biomarkers. The cytokine MIP-1alpha was markedly elevated in ASMKO mouse serum, and following enzyme replacement therapy (ERT) it was reduced to normal levels. Total iron levels were similarly elevated in ASMKO mice, reflective of the elevated ferritin light chain transcript, and decreased to normal after ERT. Serum growth hormone levels were also elevated in ASMKO mice and were reduced to normal after brain-directed gene therapy, but not ERT. These studies illustrate the value of gene expression analysis for the identification of biomarkers, and provide new insight into the pathobiology of NPD.

Animals↗

PubMed2005

Paracoccidioides brasiliensis presents two different cDNAs encoding homologues of the fructose 1,6-biphosphate aldolase: protein isolation, cloning of the cDNAs and genes, structural, phylogenetic, and expression analysis.

A proteomic approach was used to identify a 39 kDa antigen of Paracoccidioides brasiliensis. Amino acid sequences of the N-terminal and of endoproteinase Lys-C digested peptides revealed the protein to be a fructose 1,6-biphosphate aldolase (FBA) Class II of P. brasiliensis. Two cDNA homologues, Pbfba1 and Pbfba2, were cloned and characterized. Pbfba1 encoded a predicted polypeptide of 360 amino acids that was highly homologous in the primary structure to the same enzyme from fungi and bacteria. The other DNA, Pbfba2, encoded a polypeptide predicted to be 363 amino acids. The sequence of Pbfba2 differed significantly from Pbfba1. Phylogenetic and molecular analysis supports the concept of gene duplication for FBAs in P. brasiliensis, constituting a two-member family. Expression analysis demonstrated differential expression for both fbas genes in P. brasiliensis cells.

Amino Acid Sequence↗

PubMed2004

Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis.

Classification analysis of microarray gene expression data has been widely used to uncover biological features and to distinguish closely related cell types that often appear in the diagnosis of cancer. However, the number of dimensions of gene expression data is often very high, e.g., in the hundreds or thousands. Accurate and efficient classification of such high-dimensional data remains a contemporary challenge. In this paper, we propose a comprehensive vertical sample-based KNN/LSVM classification approach with weights optimized by genetic algorithms for high-dimensional data. Experiments on common gene expression datasets demonstrated that our approach can achieve high accuracy and efficiency at the same time. The improvement of speed is mainly related to the vertical data representation, P-tree,Patents are pending on the P-tree technology. This work is partially supported by GSA Grant ACT#:K96130308. and its optimized logical algebra. The high accuracy is due to the combination of a KNN majority voting approach and a local support vector machine approach that makes optimal decisions at the local level. As a result, our approach could be a powerful tool for high-dimensional gene expression data analysis.

Algorithms↗

PubMed2001

An integrated approach for genome-wide gene expression analysis.

Since efficient and relatively cheap methods were developed for determining biosequences, a lot of biosequence data has been generated. As the main problem in molecular biology is the analysis of the data instead of the data acquisition, part of the study of computational biology is to extract all kinds of meaningful information from the sequences. Computer-assisted methods have become very important in analyzing biosequence data. However, most of the current computer-assisted methods are limited to finding motifs. Genes can be regulated in many ways, including combinations of regulatory elements. This research is aimed at developing a new integrated system for genome-wide gene expression analysis. This research begins with a new motif-finding method, using a new objective function combining multiple well defined components and an improved stochastic iterative sampling strategy. Combinatorial motif analysis is accomplished by constructive induction that analyzes potential motif combinations. We then apply standard inductive learning algorithms to generate hypotheses for different gene behaviors. A genome-wide gene expression analysis demonstrated the value of this novel integrated system.

Algorithms↗

PubMed2006

Gene expression analysis of cardiovascular diseases: novel insights into biology and clinical applications.

Although the contribution of genetics to complex cardiovascular diseases such as atherosclerosis has been accepted for quite some time, full and detailed knowledge of the individual causative genes has been elusive. With the advent of genomic technologies and methods, the necessary tools are now available to begin pinpointing the genes that contribute to disease susceptibility and progression. One approach being applied extensively in candidate gene discovery is gene expression analysis of human and animal tissues using microarrays. The genes identified by these genomic studies provide valuable insight into disease biology and represent the initial steps toward the development of diagnostic tests and therapeutic strategies that will substantially improve human health. This paper highlights the progress that has been made in using gene expression analysis cardiovascular genomic research and the potential for applying these findings in clinical medicine.

Animals↗

PubMed2000

Large scale gene expression analysis of cholesterol-loaded macrophages.

We conducted large scale gene expression analysis of the response of macrophages to exposure to oxidized low density lipoprotein (Ox-LDL). Much of the vessel wall lesion of atherosclerosis is composed of macrophages that have become engorged with cholesterol. These resulting "foam cells" contribute to the progression of vascular disease through several pathways. As a potential model of foam cell formation, we treated THP-1 cells with 12-O-tetradecanoylphorbol 13-acetate to differentiate them into a macrophage-like phenotype and subsequently treated them with oxidized low density lipoprotein for various time periods. RNA from Ox-LDL treated and time-matched control untreated cells was hybridized to microarrays containing 9808 human genes. 268 genes were found to be at least 2-fold regulated at one or more time points. These regulation patterns were classified into seven clusters of expression profiles. The data is discussed in terms of the overall pattern of gene expression, the thematic classification of the responding genes, and the clustering of functional groups in distinct expression patterns. The magnitude and the temporal patterns of gene expression identified known and novel molecular components of the cellular response that are implicated in the growth, survival, migratory, inflammatory, and matrix remodeling activity of vessel wall macrophages. In particular, the role of nuclear receptors in mediating the gene expression modulation by Ox-LDL is highlighted.

Cell Line↗

PubMed2006

Porcine Parkin: molecular cloning of PARK2 cDNA, expression analysis, and identification of a splicing variant.

Parkin, encoded by the PARK2 gene, is an E3 ligase which functions as an integral component of the cytoplasmic ubiquitin/proteasomal protein degradation pathway. Mutations in the PARK2 gene, resulting in the loss of parkin function, leads to autosomal recessive juvenile Parkinsonism (AR-JP). This work reports the cloning and characterization of the porcine (Sus scrofa) PARK2 cDNA (SsPARK2) and splicing variants hereof. The PARK2 cDNA was amplified by the reverse transcriptase polymerase chain reaction (RT-PCR) using oligonucleotide primers derived from in silico sequences. The porcine PARK2 cDNA codes for a protein of 461 amino acids which shows a high similarity to orangutan (91%), human (86%), and to rat (82%) parkin. A splicing variant of the porcine PARK2 with a complete deletion of exon 9 was also identified. Expression analysis by quantitative real-time RT-PCR revealed presence of PARK2 transcript in all examined organs and tissues. Differential expression was observed, with very high levels of PARK2 mRNA in cerebellum, heart, and kidney. In addition, expression analysis showed that porcine PARK2 transcripts could be detected early in embryo development in different brain regions. The porcine PARK2 orthologue was mapped to chromosome 1p24-25. Single nucleotide polymorphism (SNP) analysis revealed seven SNPs in the porcine PARK2 gene, one missense and one silent mutation in exon 7 and five SNPs in intron 7.

Alleles↗

PubMed2004

Reliability of t7-based mRNA linear amplification validated by gene expression analysis of human kidney cells using cDNA microarrays.

Genome wide gene expression analysis by cDNA microarrays is often limited by minute amounts of starting RNA. We therefore tested an optimized linear RNA amplification protocol using the RiboAmp amplification kit in the setting of cDNA microarrays. We isolated mRNA from a human kidney cell line (HK-2; ATCC) and from Universal Human Reference RNA (STR; Stratagene). After performing one and two rounds of linear RNA amplification, respectively, the amplified RNAs were co-hybridized to cDNA microarrays. Linearity and reproducibility of the individual experiments were then assessed by calculating the Pearson correlation. The intra-amplification consistency showed a correlation of 0.968 for the first round, 0.907 for the second round and 0.912 for two successive rounds of amplification. If the first round was compared to unamplified material, r was 0.925. The second round amplification yielded a correlation of 0.897 if compared to unamplified mRNA. Two rounds of amplification starting from 200 pg of mRNA compared to unamplified material resulted in a correlation of 0.868. These results indicate that linear amplification using RiboAmp kit yields amplified RNA with a high degree of linearity and reproducibility.

Cell Line↗

PubMed2005

Gene expression analysis of human epidermal keratinocytes after N-acetyl L-cysteine treatment demonstrates cell cycle arrest and increased differentiation.

OBJECTIVES: Several cancer prevention programmes have previously been executed using treatment of antioxidant compounds. The antioxidant N-acetyl L-cysteine (NAC), a membrane-permeable aminothiol, is a sulfhydryl reductant reducing oxidised glutathione, as well as being a precursor of intracellular cysteine and glutathione. A previous report based on the cellular response to NAC treatment showed that NAC induced a 10-fold more rapid differentiation in normal primary keratinocytes as well as a reversion of a colon carcinoma cell line from neoplastic proliferation to apical-basolateral differentiation. In order to investigate molecular events underlying the changes in proliferation and differentiation induced by NAC treatment, we performed global gene expression analysis of normal human epidermal keratinocytes in a time series. METHODS: Treated samples were compared to untreated samples through a reference design using a spotted cDNA array comprising approximately 30,000 features. B statistics was used to identify differentially expressed genes, and RT-PCR of a selected set of genes was performed to verify differential expression. RESULTS: The number of differentially expressed genes increased over time, starting with 0 at 30 min, 73 at 3 h and increasing to 952 genes at 48 h. Results of the expression analysis showed arrest of the cell cycle and an upregulation of cytoskeletal reorganisation, implicating increased differentiation. A comparison to gene ontology groups indicated downregulation of a large number of genes involved in cell proliferation and regulation of the cell cycle. CONCLUSIONS: A significant fraction of the differentially expressed genes could be classified according to their role in the differentiation process, demonstrating that NAC regulates the conversion from proliferation to differentiation at a transcriptional level.

Acetylcysteine↗

PubMed2001

Azurin involved in alcohol oxidation system in Pseudomonas putida HK5: expression analysis and gene cloning.

Expression of azurin in Pseudomonas putida HK5 was examined by immunoblot analysis. Similar amounts of azurin were found in the cells grown into the stationary phase on any carbon sources, including LB medium without alcohol, where no quinoprotein alcohol dehydrogenases appeared. In the early exponential phase, the highest amount of azurin was found in the cells grown on 1-butanol, but here was none in the case of LB medium, suggesting that expression of azurin is cooperative with that of the alcohol oxidase system, especially the system including quinohemoprotein alcohol dehydrogenase IIB. The azurin gene (azu) was cloned and sequenced. azu is monocistronic, and in its promoter region, FNR-binding consensus sequence was found. However, its relative position suggests different transcriptional regulation from that in azu of P. aeruginosa. The molecular weight of the mature protein without copper ion calculated from the amino acid sequence was consistent with the value of the purified azurin measured by mass spectrometry.

Alcohols↗

PubMed2002

YMD: a microarray database for large-scale gene expression analysis.

The use of microarray technology to perform parallel analysis of the expression pattern of a large number of genes in a single experiment has created a new frontier of medical research. The vast amount of gene expression data generated from multiple microarray experiments requires a robust database system that allows efficient data storage, retrieval, secure access, data dissemination, and integrated data analyses. To address the growing needs of microarray researchers at Yale and their collaborators, we have built the Yale Microarray Database (YMD). YMD is Web-accessible with the following features: (i) a Web program that tracks DNA samples between source plates and arrays, (ii) the capability of finding common genes/clones across different array platforms, (iii) an image file server, (iv) laboratory-based user management and access privileges, (v) project management, (vi) template data entry, (vii) linking gene expression data to annotation databases for functional analysis. YMD is currently being used on a pilot basis by several laboratories for different organisms and array platforms.

Databases, Nucleic Acid↗