PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Protein Array Analysis”

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 127 records · Page 7Linked to original sources

Gene-expression profiles in hereditary breast cancer.

BACKGROUND: Many cases of hereditary breast cancer are due to mutations in either the BRCA1 or the BRCA2 gene. The histopathological changes in these cancers are often characteristic of the mutant gene. We hypothesized that the genes expressed by these two types of tumors are also distinctive, perhaps allowing us to identify cases of hereditary breast cancer on the basis of gene-expression profiles. METHODS: RNA from samples of primary tumor from seven carriers of the BRCA1 mutation, seven carriers of the BRCA2 mutation, and seven patients with sporadic cases of breast cancer was compared with a microarray of 6512 complementary DNA clones of 5361 genes. Statistical analyses were used to identify a set of genes that could distinguish the BRCA1 genotype from the BRCA2 genotype. RESULTS: Permutation analysis of multivariate classification functions established that the gene-expression profiles of tumors with BRCA1 mutations, tumors with BRCA2 mutations, and sporadic tumors differed significantly from each other. An analysis of variance between the levels of gene expression and the genotype of the samples identified 176 genes that were differentially expressed in tumors with BRCA1 mutations and tumors with BRCA2 mutations. Given the known properties of some of the genes in this panel, our findings indicate that there are functional differences between breast tumors with BRCA1 mutations and those with BRCA2 mutations. CONCLUSIONS: Significantly different groups of genes are expressed by breast cancers with BRCA1 mutations and breast cancers with BRCA2 mutations. Our results suggest that a heritable mutation influences the gene-expression profile of the cancer.

Algorithms↗

Gene expression in the brain across the sleep-waking cycle.

Sleep and waking differ significantly in terms of behavior, metabolism, and neuronal activity. Recent evidence indicates that sleep and waking also differ with respect to the expression of certain genes. To systematically investigate such changes, we used mRNA differential display and cDNA microarrays to screen approximately 10000 transcripts expressed in the cerebral cortex of rats after 8 h of sleep, spontaneous waking, or sleep deprivation. We found that 44 genes had higher mRNA levels after waking and/or sleep deprivation relative to sleep, while 10 were upregulated after sleep. Known genes that were upregulated in waking and sleep deprivation can be grouped into the following categories: immediate early genes/transcription factors (Arc, CHOP, IER5, NGFI-A, NGFI-B, N-Ras, Stat3), genes related to energy metabolism (glucose type I transporter Glut1, Vgf), growth factors/adhesion molecules (BDNF, TrkB, F3 adhesion molecule), chaperones/heat shock proteins (BiP, ERP72, GRP75, HSP60, HSP70), vesicle- and synapse-related genes (chromogranin C, synaptotagmin IV), neurotransmitter/hormone receptors (adrenergic receptor alpha(1A) and beta(2), GABA(A) receptor beta(3), glutamate NMDA receptor 2A, glutamate AMPA receptor GluR2 and GluR3, nicotinic acetylcholine receptor beta(2), thyroid hormone receptor TRbeta), neurotransmitter transporters (glutamate/aspartate transporter GLAST, Na(+)/Cl(-) transporter NTT4/Rxt1), enzymes (aryl sulfotransferase, c-jun N-terminal kinase 1, serum/glucocorticoid-induced serine/threonine kinase), and a miscellaneous group (calmodulin, cyclin D2, LMO-4, metallothionein 3). Several other genes that were upregulated in waking and all the genes upregulated in sleep, with the exception of the one coding for membrane protein E25, did not match any known sequence. Thus, significant changes in gene expression occur across behavioral states, which are likely to affect basic cellular functions such as RNA and protein synthesis, neural plasticity, neurotransmission, and metabolism.

Animals↗

Differential gene expression in mesothelioma.

To investigate the molecular events controlling malignant transformation of human pleural cells, we compared constitutive gene expression of mesothelioma cells to that of pleural cells. Using cDNA microarray and high-density filter array, we assessed expression levels of > 6500 genes. Most of the highly expressed transcripts were common to both cell lines and included genes associated with stress response and DNA repair, outcomes consistent with the radio- and chemo-resistance of mesothelioma. Interestingly, of the fewer than 300 genes that differed between cell lines, most functioned in (i) macromolecule stability, (ii) cell adhesion and recognition, (iii) cell migration (invasiveness), and (iv) extended cell division. Expression levels of several of these genes were confirmed by RT-PCR and could be useful as diagnostic markers of human mesothelioma.

Cell Adhesion↗

In vitro selection of nucleic acids for diagnostic applications.

In vitro selection methods have proven to be extraordinarily adept at generating a wide variety of nucleic acid-binding species (aptamers) and catalysts (ribozymes). To date, selected nucleic acids have primarily been of academic interest. However, just as antibodies have proven utility as 'universal receptors' that can be crafted against a huge variety of ligands and can be readily adapted to diagnostic assays, aptamers may yet find application in assays. A new class of research reagents, aptazymes, are not mere mimics of antibodies but in fact allow the direct transduction of molecular recognition to catalysis. Aptamers and aptazymes may prove to be uniquely useful for the development of chip arrays for the detection and quantitation of a wide range of molecules in organismal proteomes and metabolomes.

Animals↗

Decreased expression of striatal signaling genes in a mouse model of Huntington's disease.

To understand gene expression changes mediated by a polyglutamine repeat expansion in the human huntingtin protein, we used oligonucleotide DNA arrays to profile approximately 6000 striatal mRNAs in the R6/2 mouse, a transgenic Huntington's disease (HD) model. We found diminished levels of mRNAs encoding components of the neurotransmitter, calcium and retinoid signaling pathways at both early and late symptomatic time points (6 and 12 weeks of age). We observed similar changes in gene expression in another HD mouse model (N171-82Q). These results demonstrate that mutant huntingtin directly or indirectly reduces the expression of a distinct set of genes involved in signaling pathways known to be critical to striatal neuron function.

Adenylyl Cyclases↗

Isolation of translationally controlled mRNAs by differential screening.

Translationalregulation plays an important role in the control of gene expression. Changes in translation initiation rates are the most common translation-regulating mechanisms, resulting in alterations in mRNA loading of ribosomes. This differential mobilization of mRNAs onto polyribosomes was used in differential screening to directly identify cDNAs whose transcripts are translationally controlled during antigenic stimulation of primary human T lymphocytes. Ribosome-free and polysome-bound mRNAs were prepared from quiescent and activated T cells and used as templates to synthesize four cDNA pools. These in turn were used as probes to hybridize four identical replicas of a T cell library or, alternatively, four cDNA arrays. Translational activation was indicated by redistribution of the hybridization signals from the ribosome-free fraction in resting T cells to the polysome-associated fraction in activated T cells. Translational repression corresponded to the opposite hybridization pattern. Fifty-two cDNAs were identified as translationally controlled by screening 472 genes in a cDNA array; 12 additional ones were obtained by screening a cDNA library. Several of the transcripts corresponded to mRNAs previously reported to be translationally controlled, thus validating the method. For the majority, however, such regulation had not yet been described. Translational control was verified for representative examples by demonstrating the redistribution of the corresponding mRNAs on polysome gradients in response to T cell activation. Our strategy therefore provides an efficient tool to directly isolate or identify translationally controlled mRNAs in a variety of physiological situations. Moreover, differential screening using arrays enables simultaneous analysis of both transcriptional and translational regulation, further enhancing the power of gene expression analysis.

Cells, Cultured↗

Blood-brain barrier genomics.

The blood-brain barrier (BBB) is formed by the brain microvascular endothelium, and the unique transport properties of the BBB are derived from tissue-specific gene expression within this cell. The current studies developed a gene microarray approach specific for the BBB by purifying the initial mRNA from isolated rat brain capillaries to generate tester cDNA. A polymerase chain reaction-based subtraction cloning method, suppression subtractive hybridization (SSH), was used, and the BBB cDNA was subtracted with driver cDNA produced from mRNA isolated from rat liver and kidney. Screening 5% of the subtracted tester cDNA resulted in identification of 50 gene products and more than 80% of those were selectively expressed at the BBB; these included novel gene sequences not found in existing databases, ESTs, and known genes that were not known to be selectively expressed at the BBB. Genes in the latter category include tissue plasminogen activator, insulin-like growth factor-2, PC-3 gene product, myelin basic protein, regulator of G protein signaling 5, utrophin, IkappaB, connexin-45, the class I major histocompatibility complex, the rat homologue of the transcription factors hbrm or EZH1, and organic anion transporting polypeptide type 2. Knowledge of tissue-specific gene expression at the BBB could lead to new targets for brain drug delivery and could elucidate mechanisms of brain pathology at the microvascular level.

Animals↗

Rapid cloning of metK encoding methionine adenosyltransferase from Corynebacterium glutamicum by screening a genomic library on a high density colony-array.

The genes SAM1 and SAM2 encoding the two different methionine adenosyltransferases (EC 2.5.1.6) in Saccharomyces cerevisiae were used as templates to generate specific DNA-probes. This heterologous mixture of DNA-probes was hybridized under low stringency hybridization conditions to a Corynebacterium glutamicum colony-array representing the complete genome. Subsequently, one genomic fragment was isolated which contained the C. glutamicum methionine adenosyltransferase gene metK (1.224 kb). When overproduced in Escherichia coli, MetK (44.2 kDa) of C. glutamicum had methionine adenosyltransferase activity. In addition, overexpression of metK in C. glutamicum led to an increased intracellular S-adenosylmethionine concentration. The metK transcript was detected by reverse transcription PCR in C. glutamicum cells in the exponential growth phase but not in the stationary phase.

Blotting, Southern↗

Genomics. Plant biology in 2010.

The completion of the Arabidopsis sequence will be followed by a new ten-year project that will determine the function of all angiosperm genes. Funding for the U.S. component of this multinational project will originate from a new initiative from the U.S. National Science Foundation called the 2010 Project. Progress toward completion of this ambitious project will necessitate significant changes in how the plant biology community selects and approaches research objectives. The plan envisions that the project will facilitate the development of a computational model of a virtual plant that will allow predictive queries about basic mechanisms underlying plant growth and development.

Arabidopsis↗

Molecular profiling of breast cancer: portraits but not physiognomy.

Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.

Breast Neoplasms↗

Effector genes altered in MCF-7 human breast cancer cells after exposure to fractionated ionizing radiation.

Understanding the molecular mechanisms involved in the response of tumors to fractionated exposures to ionizing radiation is important for improving radiotherapy and/or radiochemotherapy. In the present study, we examined the expression of stress-related genes in an MCF-7 cell population (MCF-IR20) that has been derived through treatment with fractionated irradiation (2 Gy per fraction with a total dose of 40 Gy). MCF-IR20 cells showed a 1.6-fold increase in sensitization with dose at 10% isosurvival in a clonogenic assay, and a reduced growth delay ( approximately 15 h compared to approximately 27 h), compared to the parental MCF-7 cells treated with a single dose of 5 Gy. To determine which effector genes were altered in the MCF-IR20 cells, the expression of stress-related effector genes was measured using a filter with 588 genes (Clontech) that included major elements involved in cell cycle control, DNA repair, and apoptosis. Compared to MCF-7 cells that were not exposed to fractionated radiation, 19 genes were up- regulated (2.2-5.1-fold) and 4 were down-regulated (2.7-3.4- fold) in the MCF-IR20 cells. In agreement with the array results, 6 up-regulated genes tested by RT-PCR showed elevated expression. Also, activities of the stress-related transcription factors NFKB, TP53 and AP1 showed a 1.2-4.5-fold increase after a single dose of 5 Gy in MCF-IR20 cells compared with parental MCF-7 cells. However, when the radioresistant MCF-IR20 cell were cultured for more than 12 passages after fractionated irradiation (MCF-RV), radioresistance was lost, with the radiosensitivity being the same as the parental MCF- 7 cells. Interestingly, expression levels of CCNB1, CD9 and CDKN1A in MCF-RV cells returned to levels expressed by the parental cells, whereas the expression levels of three other genes, MSH2, MSH6 and RPA remained elevated. To determine if any of the changes in gene expression could be responsible for the induced radioresistance, CCNB1 and CDKN1A, both of which were up-regulated in MCF-IR20 cells and down-regulated in MCF-RV cells, were studied further by transfection with antisense oligonucleotides. Antisense of CCNB1 significantly reduced the clonogenic survival of MCF- IR20 cells at doses of 5 and 10 Gy, from 42% to 26% and from 5.7% to 1.0%, respectively. Antisense of CDKN1A, however, had no effect on radiation survival of MCF-IR20 cells. In summary, these results suggest that stress-related effector genes are altered in cells after treatment with fractionated irradiation, and that up-regulation of CCNB1 is responsible, at least in part, for radioresistance after fractionated irradiation.

Adenocarcinoma↗

Multicolor fluorescent differential display.

Differential display and DNA microarray have emerged as the two most popular methods for gene expression profiling. Here, we developed a multicolor fluorescent differential display (FDD) method that combines the virtues of both differential display in signal amplification and DNA microarray in signal analysis. As in DNA microarray, RNA samples being compared can be labeled with either a red or green fluorescent dye and displayed in a single lane, allowing convenient scoring and quantification of the differentially expressed messages. In addition, the multicolor FDD has a built-in signal proofreading capability that is achieved by labeling each RNA sample from a comparative study with both red and green fluorescent dyes followed by their reciprocal mixings in color. Thus, the multicolor FDD provides a platform upon which a sensitive and accurate gene expression profiling by differential display can be automated and digitally analyzed. It is envisioned that cDNAs generated by the multicolor FDD may also be used directly as probes for DNA microarray, allowing an integration of the two most widely used technologies for comprehensive analysis of gene expression.

Animals↗

Differential gene expression of hepatocellular carcinoma using cDNA microarray analysis.

A cDNA microarray technique, which allows simultaneous analysis of differential expression of mRNA of over 4000 known human genes, was utilized to study the gene expression in 10 pairs of HCC and nontumorous tissues from ethnic Chinese patients in Hong Kong. A total of 211 genes were found to be highly expressed and 147 genes were downregulated in more than 1 out of 10 of the HCC pairs. The results were significant by two-tailed Wilcoxon test (P < or = 0.05 with 95% confidence) on the intensity of each DNA spot of the 10 HCC pairs. Six genes were highly expressed and 10 genes were downregulated in more than 30% of HCC pairs. Results are consistent with other published reports using traditional differential display, subtractive hybridization, or immunohistochemical staining methods. We also detected that beta-actin and glyceraldehyde 3-phosphate dehydrogenase (G3PDH), which have been commonly used as an internal standard control in mRNA expression studies, were highly expressed in HCC when compared with nontumorous tissue. It is concluded that cDNA microarray analysis is an effective method in the detection of differential gene expression in HCC.

Actins↗

Detection of cytochrome P450 and other drug-metabolizing enzyme mRNAs in peripheral blood mononuclear cells using DNA arrays.

The purpose of this study was to determine whether the expression of cytochrome P450 (CYP) enzyme mRNAs, other drug-metabolizing enzyme mRNAs, and transporter mRNAs can be detected using DNA arrays. Total RNA was isolated from peripheral blood mononuclear cells of 10 multiple sclerosis patients and 10 age- and sex-matched controls. The mRNA was reverse transcribed to radiolabeled cDNA, and the resultant cDNA was used to probe a DNA array containing several thousand known human genes. The signals corresponding to several CYPs, drug-metabolizing, and transporter mRNAs was substantially above background. The results demonstrate that the DNA array technique has the sensitivity and the selectivity for applications in the pharmaceutical sciences. The mean values for mRNAs of specific CYPs and drug-metabolizing enzymes in peripheral blood cells were compared with reported values for liver. The capabilities of DNA arrays may prove useful for characterizing CYP expression in a variety of clinical samples.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

Identification of transforming growth factor-beta1-binding protein overexpression in carmustine-resistant glioma cells by MRNA differential display.

BACKGROUND: The authors previously demonstrated the presence of cells in primary human malignant gliomas that intrinsically are resistant to carmustine (BCNU). Numerous studies have identified mechanisms of therapy resistance in these cells; however, the authors' work and that of others suggest that additional mechanisms of resistance exist. METHODS: The authors identified a glioma cell line that lacks detectable methylguanine methyltransferase expression and does not alter its expression of glutathione-S-transferase-pi in response to BCNU chemotherapy. This cell line was used in mRNA differential display experiments to identify genes involved in what to the authors' knowledge were previously undescribed mechanisms of resistance. RESULTS: The overexpression of the gene encoding the transforming growth factor latency binding protein was demonstrated in glioma cells selected for resistance to BCNU, compared with their parental unselected cells. CONCLUSIONS: Transforming growth factor-beta1 has pleiotropic functions in transformed and normal cells. Although activation of TGF-beta1 does not appear to be a causative factor in BCNU resistance in the current study, it may be involved in the growth of these resistant cells.

Aged↗