Identification of genes associated with tumorigenesis of meibomian cell carcinoma by microarray analysis

Meibomian cell carcinoma (MCC) is a malignant tumor of the meibomian glands located in the eyelids. No information exists on the cytogenctic and genetic aspects of MCC. There is no report on the gene expression profile of MCC. Thus there is a need, for both scientific and clinical reasons, to identify genes and pathways that are involved in the development and progression of MCC. We analyzed the gene expression profile of MCC by the microarray technique. Forty-four genes were upregulated and 149 genes were downregulated in MCC. Differential expression data were confirmed for 5 genes by semiquantitative RT-PCR in MCC tumors: GTF2H4, RBM12, UBE2D3, DDX17, and LZTS1. We found dysregulation of two major pathways in MCC: MAPK and JAK/STAT. Clusters of genes on chromosomes 1, 12, and 19 were dysregUlated in MCC. The data presented here will facilitate the identification of specific markers and therapeutic targets for the treatment of MCC patients. (c) 2007 Elsevier Inc. All rights reserved.

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line

Background: Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions have often been challenging. Methods: We integrated here genome-wide copy number data with gene expression data and non-sense mediated mRNA decay rates in breast cancer cell lines to prioritize gene candidates that are likely to be tumour suppressor genes inactivated by bi-allelic genetic events. The candidates were sequenced to identify potential mutations. Results: This integrated genomic approach led to the identification of RIC8A at 11p15 as a putative candidate target gene for the genomic deletion in the ZR-75-1 breast cancer cell line. We identified a truncating mutation in this cell line, leading to loss of expression and rapid decay of the transcript. We screened 127 breast cancers for RIC8A mutations, but did not find any pathogenic mutations. No promoter hypermethylation in these tumours was detected either. However, analysis of gene expression data from breast tumours identified a small group of aggressive tumours that displayed low levels of RIC8A transcripts. qRT-PCR analysis of 38 breast tumours showed a strong association between low RIC8A expression and the presence of TP53 mutations (P = 0.006). Conclusion: We demonstrate a data integration strategy leading to the identification of RIC8A as a gene undergoing a classical double-hit genetic inactivation in a breast cancer cell line, as well as in vivo evidence of loss of RIC8A expression in a subgroup of aggressive TP53 mutant breast cancers.

Microbial identification by detection of ligation probes on DNA microarray

Microbes in natural and artificial environments as well as in the human body are a key part of the functional properties of these complex systems. The presence or absence of certain microbial taxa is a correlate of functional status like risk of disease or course of metabolic processes of a microbial community. As microbes are highly diverse and mostly notcultivable, molecular markers like gene sequences are a potential basis for detection and identification of key types. The goal of this thesis was to study molecular methods for identification of microbial DNA in order to develop a tool for analysis of environmental and clinical DNA samples. Particular emphasis was placed on specificity of detection which is a major challenge when analyzing complex microbial communities. The approach taken in this study was the application and optimization of enzymatic ligation of DNA probes coupled with microarray read-out for high-throughput microbial profiling. The results show that fungal phylotypes and human papillomavirus genotypes could be accurately identified from pools of PCR amplicons generated from purified sample DNA. Approximately 1 ng/μl of sample DNA was needed for representative PCR amplification as measured by comparisons between clone sequencing and microarray. A minimum of 0,25 amol/μl of PCR amplicons was detectable from amongst 5 ng/μl of background DNA, suggesting that the detection limit of the test comprising of ligation reaction followed by microarray read-out was approximately 0,04%. Detection from sample DNA directly was shown to be feasible with probes forming a circular molecule upon ligation followed by PCR amplification of the probe. In this approach, the minimum detectable relative amount of target genome was found to be 1% of all genomes in the sample as estimated from 454 deep sequencing results. Signal-to-noise of contact printed microarrays could be improved by using an internal microarray hybridization control oligonucleotide probe together with a computational algorithm. The algorithm was based on identification of a bias in the microarray data and correction of the bias as shown by simulated and real data. The results further suggest semiquantitative detection to be possible by ligation detection, allowing estimation of target abundance in a sample. However, in practise, comprehensive sequence information of full length rRNA genes is needed to support probe design with complex samples. This study shows that DNA microarray has the potential for an accurate microbial diagnostic platform to take advantage of increasing sequence data and to replace traditional, less efficient methods that still dominate routine testing in laboratories. The data suggests that ligation reaction based microarray assay can be optimized to a degree that allows good signal-tonoise and semiquantitative detection.

Novel Functions of (p)ppGpp and Cyclic di-GMP in Mycobacterial Physiology Revealed by Phenotype Microarray Analysis of Wild-Type and Isogenic Strains of Mycobacterium smegmatis

The bacterial second messengers (p)ppGpp and bis-(3'-5')-cyclic dimeric GMP (c-di-GMP) regulate important functions, such as transcription, virulence, biofilm formation, and quorum sensing. In mycobacteria, they regulate long-term survival during starvation, pathogenicity, and dormancy. Recently, a Pseudomonas aeruginosa strain lacking (p) ppGpp was shown to be sensitive to multiple classes of antibiotics and defective in biofilm formation. We were interested to find out whether Mycobacterium smegmatis strains lacking the gene for either (p)ppGpp synthesis (Delta rel(Msm)) or c-di-GMP synthesis (Delta dcpA) would display similar phenotypes. We used phenotype microarray technology to compare the growth of the wild-type and the knockout strains in the presence of several antibiotics. Surprisingly, the Delta rel(Msm) and Delta dcpA strains showed enhanced survival in the presence of many antibiotics, but they were defective in biofilm formation. These strains also displayed altered surface properties, like impaired sliding motility, rough colony morphology, and increased aggregation in liquid cultures. Biofilm formation and surface properties are associated with the presence of glycopeptidolipids (GPLs) in the cell walls of M. smegmatis. Thin-layer chromatography analysis of various cell wall fractions revealed that the levels of GPLs and polar lipids were reduced in the knockout strains. As a result, the cell walls of the knockout strains were significantly more hydrophobic than those of the wild type and the complemented strains. We hypothesize that reduced levels of GPLs and polar lipids may contribute to the antibiotic resistance shown by the knockout strains. Altogether, our data suggest that (p)ppGpp and c-di-GMP may be involved in the metabolism of glycopeptidolipids and polar lipids in M. smegmatis.

Independent component analysis of microarray data in the study of endometrial cancer.

Gene microarray technology is highly effective in screening for differential gene expression and has hence become a popular tool in the molecular investigation of cancer. When applied to tumours, molecular characteristics may be correlated with clinical features such as response to chemotherapy. Exploitation of the huge amount of data generated by microarrays is difficult, however, and constitutes a major challenge in the advancement of this methodology. Independent component analysis (ICA), a modern statistical method, allows us to better understand data in such complex and noisy measurement environments. The technique has the potential to significantly increase the quality of the resulting data and improve the biological validity of subsequent analysis. We performed microarray experiments on 31 postmenopausal endometrial biopsies, comprising 11 benign and 20 malignant samples. We compared ICA to the established methods of principal component analysis (PCA), Cyber-T, and SAM. We show that ICA generated patterns that clearly characterized the malignant samples studied, in contrast to PCA. Moreover, ICA improved the biological validity of the genes identified as differentially expressed in endometrial carcinoma, compared to those found by Cyber-T and SAM. In particular, several genes involved in lipid metabolism that are differentially expressed in endometrial carcinoma were only found using this method. This report highlights the potential of ICA in the analysis of microarray data.

Estudo de polimorfismos nos genes TP53 e p21(WAF1) e do perfil imunohistoquímico das proteínas p53, p21(WAF1), p16(INK4a) e ciclina D1 pela técnica de Tissue Microarray (TMA) e sua importância para o desenvolvimento e/ou severidade das neoplasias cervicais

O câncer de colo do útero é o terceiro tipo de câncer mais frequente em mulheres no mundo, e a infecção persistente pelo papilomavirus humano (HPV) oncogênico é condição necessária, mas não suficiente para seu desenvolvimento. As oncoproteínas virais E6 e E7 interferem direta ou indiretamente na ação de várias proteínas celulares. Entretanto, as variantes proteicas, resultantes de polimorfismos genéticos, podem apresentar comportamento distinto mediante a infecção pelo HPV. O objetivo deste estudo foi avaliar possíveis associações entre polimorfismos nos genes TP53 (p53 PIN3, p53 72C>G) e p21 (p21 31C>A) e o desenvolvimento de neoplasias cervicais, considerando os níveis de expressão das proteínas p53, p21, p16 e ciclina D1, e fatores de risco clássicos para o câncer cervical. Foram selecionadas 466 mulheres residentes no Rio de Janeiro, 281 com diagnóstico histopatológico de neoplasia cervical de baixo (LSIL) e alto grau (HSIL) e câncer (grupo de casos) e 185 sem história atual ou pregressa de alteração citológica do colo uterino (grupo controle). A técnica de PCR-RFLP (reação em cadeia da polimerase - polimorfismo de comprimento de fragmento de restrição), foi empregada na análise dos polimorfismos p53 72C>G e p21 31C>A, usando as enzimas de restrição BstUI e BsmaI, respectivamente. A avaliação do polimorfismo p53 PIN3 (duplicação de 16 pb) foi feita por meio da análise eletroforética direta dos produtos de PCR. A expressão das proteínas p53, p21, p16, ciclina D1 e Ki-67 e a pesquisa de anticorpos anti-HPV 16 e HPV pool foram avaliadas por imunohistoquímica (Tissue Microarray - TMA) em 196 biópsias do grupo de casos. O grupo controle se mostrou em equilíbrio de Hardy-Weinberg em relação aos três polimorfismos avaliados. As distribuições genotípicas e alélicas relativas a p53 PIN3 e p53 72C>G nos grupos controles e de casos não apresentaram diferenças significativas, embora o genótipo p53 72CC tenha aumentado o risco atribuído ao uso de contraceptivos das pacientes apresentarem lesões mais severas (OR=4,33; IC 95%=1,19-15,83). O genótipo p21 31CA(Ser/Arg) conferiu proteção ao desenvolvimento de HSIL ou câncer (OR=0,61, IC 95%=0,39-0,97), e modificou o efeito de fatores de risco associados à severidade das lesões. A interação multiplicativa de alelos mostrou que a combinação p53 PIN3A1, p53 72C(Pro) e p21 31C(Ser), representou risco (OR=1,67, IC95%=1,03-2,72) e a combinação p53 PIN3A1, p53 72C(Pro) e p21 31A(Arg) conferiu efeito protetor (OR=0,26, IC95%=0,08-0,78) para o desenvolvimento de HSIL e câncer cervical. Observou-se correlação positiva da expressão de p16 e p21 e negativa da ciclina D1 com o grau da lesão. A distribuição epitelial de p16, Ki-67, p21 e p53 se mostrou associada à severidade da lesão. Os polimorfismos analisados não apresentaram associação com a expressão dos biomarcadores ou positividade para HPV. Nossos resultados sugerem a importância do polimorfismo p21 31C>A para o desenvolvimento das neoplasias cervicais e ausência de correlação dos polimorfismos p53 PIN3 e p53 72C>G com a carcinogênese cervical, embora alguns genótipos tenham se comportado como modificadores de risco. Nossos resultados de TMA corroboram o potencial de uso de biomarcadores do ciclo celular para diferenciar as lesões precursoras do câncer cervical.

A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series.

Understanding the regulatory mechanisms that are responsible for an organism's response to environmental change is an important issue in molecular biology. A first and important step towards this goal is to detect genes whose expression levels are affected by altered external conditions. A range of methods to test for differential gene expression, both in static as well as in time-course experiments, have been proposed. While these tests answer the question whether a gene is differentially expressed, they do not explicitly address the question when a gene is differentially expressed, although this information may provide insights into the course and causal structure of regulatory programs. In this article, we propose a two-sample test for identifying intervals of differential gene expression in microarray time series. Our approach is based on Gaussian process regression, can deal with arbitrary numbers of replicates, and is robust with respect to outliers. We apply our algorithm to study the response of Arabidopsis thaliana genes to an infection by a fungal pathogen using a microarray time series dataset covering 30,336 gene probes at 24 observed time points. In classification experiments, our test compares favorably with existing methods and provides additional insights into time-dependent differential expression.