Molecular analysis of structural abnormalities in papillary thyroid carcinoma gene

Rearrangements of the RET proto-oncogene (RET/PTC) and BRAF gene mutations are the major genetic alterations in the etiopathogenesis of papillary thyroid carcinoma (PTC). We have analyzed a series of 118 benign and malignant follicular cell-derived thyroid tumors for RET/PTC rearrangements and BRAF gene mutations. Oncogenic rearrangements of RET proto-oncogene was revealed by semiquantitative RT-PCR of simultaneously generated fragments corresponding to tyrosine kinase (TK) and extracellular RET domains. The clear quantitative shift toward the TK fragment is indicative for the presence of RET rearrangements. The overall frequency of RET/PTC rearrangements in PTC was 14% (12 of 85), including 7 RET/PTC1, 2 RET/PTC3, 1 deltaRFP/RET and 2 apparently uncharacterized rearrangements. The most common T1796A transversion in BRAF gene was detected in 55 of 91 PTC (60%) using mutant-allele-specific PCR. We also identified two additional mutations: the substitution G1753A (E585K) and a case of 12-bp deletion in BRAF exon 15. Moreover, there was no overlap between PTC harboring BRAF and RET/PTC mutations, which altogether were present in 75.8% of cases (69 of 91). Taken together, our observations are consistent with the notion that BRAF mutations appear to be an alternative pathway to oncogenic MAPK activation in PTCs without RET/PTC activation. Neither RET/PTC rearrangements nor BRAF muta-tions were detected in any of 3 follicular thyroid carcinomas, 11 follicular adenomas and 13 nodular goiters. The high prevalence of BRAF mutations and RET/PTC rearrangements in PTCs and the specificity of these alterations to PTC make them potentially important markers for the preoperative tumor diagnosis.     

The application of DNA microarrays in gene expression analysis

DNA microarray technology is a new and powerful technology that will substantially increase the speed of molecular biological research. This paper gives a survey of DNA microarray technology and its use in gene expression studies. The technical aspects and their potential improvements are discussed. These comprise array manufacturing and design, array hybridisation, scanning, and data handling. Furthermore, it is discussed how DNA microarrays can be applied in the working fields of: safety, functionality and health of food and gene discovery and pathway engineering in plants.     

Using DNA microarrays to study gene expression in closely related species

MOTIVATION: Comparisons of gene expression levels within and between species have become a central tool in the study of the genetic basis for phenotypic variation, as well as in the study of the evolution of gene regulation. DNA microarrays are a key technology that enables these studies. Currently, however, microarrays are only available for a small number of species. Thus, in order to study gene expression levels in species for which microarrays are not available, researchers face three sets of choices: (i) use a microarray designed for another species, but only compare gene expression levels within species, (ii) construct a new microarray for every species whose gene expression profiles will be compared or (iii) build a multi-species microarray with probes from each species of interest. Here, we use data collected using a multi-primate cDNA array to evaluate the reliability of each approach. RESULTS: We find that, for inter-species comparisons, estimates of expression differences based on multi-species microarrays are more accurate than those based on multiple species-specific arrays. We also demonstrate that within-species expression differences can be estimated using a microarray for a closely related species, without discernible loss of information. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

Monitoring gene expression in mixed microbial communities by using DNA microarrays

A DNA microarray to monitor the expression of bacterial metabolic genes within mixed microbial communities was designed and tested. Total RNA was extracted from pure and mixed cultures containing the 2,4-dichlorophenoxyacetic acid (2,4-D)-degrading bacterium Ralstonia eutropha JMP134, and the inducing agent 2,4-D. Induction of the 2,4-D catabolic genes present in this organism was readily detected 4, 7, and 24 h after the addition of 2,4-D. This strain was diluted into a constructed mixed microbial community derived from a laboratory scale sequencing batch reactor. Induction of two of five 2,4-D catabolic genes (tfdA and tfdC) from populations of JMP134 as low as 10(5) cells/ml was clearly detected against a background of 10(8) cells/ml. Induction of two others (tfdB and tfdE) was detected from populations of 10(6) cells/ml in the same background; however, the last gene, tfdF, showed no significant induction due to high variability. In another experiment, the induction of resin acid degradative genes was statistically detectable in sludge-fed pulp mill effluent exposed to dehydroabietic acid in batch experiments. We conclude that microarrays will be useful tools for the detection of bacterial gene expression in wastewaters and other complex systems.     

Nuclear envelope organization in papillary thyroid carcinoma

Papillary thyroid carcinomas (PTCs) have characteristic nuclear shape changes compared to follicular-type thyroid epithelium. We tested the hypothesis that the altered nuclear shape results from altered distribution or expression of the major structural proteins of the nuclear envelope. Lamin A, lamin B1, lamin C, lamin B receptor (LBR), lamina-associated polypeptide 2 (LAP2), emerin, and nuclear pores were examined. PTC's with typical nuclear features by H&E were compared to non-neoplastic thyroid and follicular neoplasms using confocal microscopy, and semi-quantitative immunoblotting. Lamin A/C, lamin B1, LAP2, emerin, and nuclear pores all extend throughout the grooves and intranuclear inclusions of PTC. Their distribution and fluorescent intensity is not predictably altered relative to nuclear envelope irregularities. By immunoblotting, the abundance (per cell) and electrophoretic mobilities of lamin A, lamin B1, lamin C, emerin, and LAP2 proteins do not distinguish PTC, normal thyroid, or follicular neoplasms. These results do not support previously published predictions that lamin A/C expression is related to a loss of proliferative activity. At least three LAP2 isoforms are identified in normal and neoplastic thyroid. LBR is sparse or undetectable in all the thyroid samples. The results suggest that the irregular nuclear shape of PTC is not determined by these nuclear envelope structural proteins per se. We review the structure of the nuclear envelope, the major factors that determine nuclear shape, and the possible functional consequences of its alteration in PTC.     

Cutting-edge technology. I. Global gene expression profiling using DNA microarrays

Having the complete human genomic sequence poses a new challenge: to use genomic structural information to display and analyze biological processes on a genome-wide scale to assign gene function. DNA microarrays are a miniaturized, ordered arrangement of nucleic acid fragments from individual genes located at defined positions on a solid support, enabling the analysis of thousands of genes in parallel by specific hybridization. This review describes technical aspects, discusses relevant applications, and suggests factors affecting the use of this technology and how it fits in the grand scheme of meeting the needs of the postgenomic era.     

Proliferative activity of papillary carcinoma and benign papillary hyperplasia of thyroid follicular cells

Papillary structures of follicular cells are observed in nodular goiter, cysts, hyperplastic areas of follicular tumors, Graves' disease, thyroiditis and carcinomas. The distinction of papillary carcinomas from benign lesions has important implication for clinical management. The aim of the study was to test a marker of proliferation activity (MIB-1) in the diagnosis of benign and malignant thyroid papillary proliferation. The study was carried out in 98 women with papillary carcinoma, nodular goiter. intracystic proliferation. Graves' disease and hyperplastic areas of follicular benign tumors. The formalin fixed, paraffin-embedded specimens were microscopically examined using HE staining and immunostaining with MIB-1 antibody (DAKO). The proliferative index (PI) was significantly higher in malignant than in benign papillary hyperplasia. Our results may provide additional information for differential papillary proliferation diagnosis by FNAB.     

Glycosylation and post-translational modification gene expression analysis by DNA microarrays for cultured mammalian cells

DNA microarray analysis of gene expression has become a valuable tool for bioprocessing research aimed at improving therapeutic protein yields. The highly parallel nature of DNA microarray technology allows researchers to assess hundreds of gene simultaneously, essentially enabling genome-wide snapshots. The quality and amount of therapeutic proteins produced by cultured mammalian cells rely heavily on the culture environment. In order to implement beneficial changes to the culture environment, a better understanding of the relationship between the product quality and culture environment must be developed. By analyzing gene expression levels under various environmental conditions, light can be shed on the underlying mechanisms. This paper describes a method for evaluating gene expression changes for cultured NS0 cells, a mouse-derived myeloma cell line, under culture environment conditions, such as ammonia buildup, known to affect product quality. These procedures can be easily adapted to other environmental conditions and any mammalian cell lines cultured in suspension, so long as a sufficient number of gene sequences are publicly available.     

Experimental design for gene expression microarrays

We examine experimental design issues arising with gene expression microarray technology. Microarray experiments have multiple sources of variation, and experimental plans should ensure that effects of interest are not confounded with ancillary effects. A commonly used design is shown to violate this principle and to be generally inefficient. We explore the connection between microarray designs and classical block design and use a family of ANOVA models as a guide to choosing a design. We combine principles of good design and A-optimality to give a general set of recommendations for design with microarrays. These recommendations are illustrated in detail for one kind of experimental objective, where we also give the results of a computer search for good designs.