A Brassica exon array for whole-transcript gene expression profiling

Affymetrix GeneChip (R) arrays are used widely to study transcriptional changes in response to developmental and environmental stimuli. GeneChip (R) arrays comprise multiple 25-mer oligonucleotide probes per gene and retain certain advantages over direct sequencing. For plants, there are several public GeneChip (R) arrays whose probes are localised primarily in 39 exons. Plant whole-transcript (WT) GeneChip (R) arrays are not yet publicly available, although WT resolution is needed to study complex crop genomes such as Brassica, which are typified by segmental duplications containing paralogous genes and/or allopolyploidy. Available sequence data were sampled from the Brassica A and C genomes, and 142,997 gene models identified. The assembled gene models were then used to establish a comprehensive public WT exon array for transcriptomics studies. The Affymetrix GeneChip (R) Brassica Exon 1.0 ST Array is a 5 mu M feature size array, containing 2.4 million 25-base oligonucleotide probes representing 135,201 gene models, with 15 probes per gene distributed among exons. Discrimination of the gene models was based on an E-value cut-off of 1E(-5), with <= 98 sequence identity. The 135 k Brassica Exon Array was validated by quantifying transcriptome differences between leaf and root tissue from a reference Brassica rapa line (R-o-18), and categorisation by Gene Ontologies (GO) based on gene orthology with Arabidopsis thaliana. Technical validation involved comparison of the exon array with a 60-mer array platform using the same starting RNA samples. The 135 k Brassica Exon Array is a robust platform. All data relating to the array design and probe identities are available in the public domain and are curated within the BrassEnsembl genome viewer at http://www.brassica.info/BrassEnsembl/index.html.

Performances de la puce exon et son application dans l’analyse de l’épissage alternatif associé à la métastase du cancer de sein

Nous montrons l’utilisation de la puce exon d’Affymetrix pour l’analyse simultanée de l’expression des gènes et de la variation d’isoformes. Nous avons utilisé les échantillons d’ARN du cerveau et des tissus de référence qui ont été antérieurement utilisés dans l’étude du consortium MicroArray Quality Control (MAQC). Nous démontrons une forte concordance de la quantification de l’expression des gènes entre trois plateformes d’expression populaires à savoir la puce exon d’Affymetrix, la puce Illumina et la puce U133A d’Affymetrix. Plus intéressant nous montrons que la majorité des discordances entre les trois plateformes résulterait des positions différentes des sondes à travers les plateformes et que les variations d’isoforme exactes ne peuvent être identifiées que par la puce exon. Nous avons détecté avec succès, entre les tissus de référence et ceux du cerveau, une centaine de cas d’évènements d’épissage alternatif. La puce exon est requise dans l’analyse de l’épissage alternatif associé aux pathologies telles que les cancers et les troubles neurologiques. Comme application de cette technologie, nous avons analysé les variations d’épissage dans la métastase du cancer de sein développé dans le model de la souris. Nous avons utilisé une gamme bien définie de trois lignées de tumeur mammaire ayant différents potentiels métastatiques. Par des analyses statistiques, nous avons répertorié 2623 transcripts présentant des variations d’expression et d’isoformes entre les types de tumeur. Une analyse du réseau de gènes montre qu’environ la moitié d’entre eux est impliquée dans plusieurs activités cellulaires, ainsi que dans nombreux cancers et désordres génétiques.

Meta-analysis of prostate cancer gene expression data identifies a novel discriminatory signature enriched for glycosylating enzymes

BACKGROUND: Tumorigenesis is characterised by changes in transcriptional control. Extensive transcript expression data have been acquired over the last decade and used to classify prostate cancers. Prostate cancer is, however, a heterogeneous multifocal cancer and this poses challenges in identifying robust transcript biomarkers.

METHODS: In this study, we have undertaken a meta-analysis of publicly available transcriptomic data spanning datasets and technologies from the last decade and encompassing laser capture microdissected and macrodissected sample sets.

RESULTS: We identified a 33 gene signature that can discriminate between benign tissue controls and localised prostate cancers irrespective of detection platform or dissection status. These genes were significantly overexpressed in localised prostate cancer versus benign tissue in at least three datasets within the Oncomine Compendium of Expression Array Data. In addition, they were also overexpressed in a recent exon-array dataset as well a prostate cancer RNA-seq dataset generated as part of the The Cancer Genomics Atlas (TCGA) initiative. Biologically, glycosylation was the single enriched process associated with this 33 gene signature, encompassing four glycosylating enzymes. We went on to evaluate the performance of this signature against three individual markers of prostate cancer, v-ets avian erythroblastosis virus E26 oncogene homolog (ERG) expression, prostate specific antigen (PSA) expression and androgen receptor (AR) expression in an additional independent dataset. Our signature had greater discriminatory power than these markers both for localised cancer and metastatic disease relative to benign tissue, or in the case of metastasis, also localised prostate cancer.

CONCLUSION: In conclusion, robust transcript biomarkers are present within datasets assembled over many years and cohorts and our study provides both examples and a strategy for refining and comparing datasets to obtain additional markers as more data are generated.

Impacto das mutações somáticas pontuais em regiões reguladoras de Splicing em linhagens tumorais de mama

O evento de splicing alternativo tem como resultado a geração de diversos produtos a partir do precursor do RNA mensageiro de um único gene, sendo o responsável, assim, pelo aumento da variedade de transcritos e proteínas existentes em uma célula. Estima-se que cerca de 90% dos genes humanos estejam sujeitos a este tipo de processamento. O funcionamento adequado do processo de splicing depende do reconhecimento correto dos limites entre trechos intrônicos e exônicos pela maquinaria enzimática, que se dá através do reconhecimento de diversos sinais, como os sítios de splicing 3’ e 5’, o trato de polipirimidina, a seqüência “branch”, e pequenas seqüências presentes em exons e introns, próximas aos sítios de splicing, que promovem ou inibem a inclusão de trechos na fita de RNA madura. É fato comprovado por diversos estudos que mutações nas seqüências sinalizadoras de splicing podem modificar o padrão de processamento de um gene. Acreditase que variações genéticas individuais possam modificar a suceptibilidade a diversas doenças, entre elas o câncer, que trata-se, atualmente, da doença que mais gera óbitos no mundo (13% do total). Recentemente, Sjoblom et al. (2006) e Wood et al. (2007) mapearam mutações não silenciosas encontradas em 1718 genes em linhagens de câncer de mama e colorretal. Neste trabalho, investigamos os efeitos dessas mutações somáticas presentes em câncer no padrão de splicing celular. Para tanto, nos focamos nas 201 mutações encontradas em quatro linhagens de câncer de mama (HCC1954, HCC1599, HCC1143 e HCC2157). A partir dos dados obtidos pela técnica de “Exon Array” (Affymetrix) e do mapeamento das mutações, foi realizada uma seleção dos genes aonde haviam mutações e eventos de splicing alternativos específicos a somente uma das linhagens celular, e cuja distância... (Resumo completo, clicar acesso eletrônico abaixo)

Glioma-specific alternative RNA splicing: A role for polypyrimidine tract binding protein-1

Alternative RNA splicing plays an integral role in cell fate determination and function, especially in the cells of the brain. Errors in RNA processing contribute to diseases such as cancer, where it leads to the production of oncogenic proteins or the loss of tumor suppressors. In silica mining suggests that hundreds of splice isoforms are misexpressed in the glial cell-derived glioma. However, there is little experimental evidence of the prevalence and contribution of these changes and whether they contribute to the formation and progression of this devastating malignancy. To determine the frequency of these aberrant events, global profiling of alternative RNA splice patterns in glioma and nontumor brain was conducted using an exon array. Most splicing changes were less than 5-fold in magnitude and 14 cassette exon events were validated, including 7 previously published events. To determine the possible causes of missplicing, the differential expression levels of splicing factors in these two tissues were also analyzed. Six RNA splicing factors had greater than 2-fold changes in expression. The highest differentially expressed factor was polypyrimidine tract binding protein-1 (PTB). Evaluation by immunohistochemistry determined that this factor was elevated in both early and late stages of glioma. Glial cell-specific PTB expression in the adult brain led me to examine the role of PTB in gliomagenesis. Downregulation of PTB slowed glioma cell proliferation and migration and enhanced cell adhesion to fibronectin and vitronectin. To determine whether PTB was affecting these processes through splicing, genome-wide exon expression levels were correlated with PTB levels. Surprisingly, previously reported PTB target transcripts were insensitive to changes in PTB levels in both patient samples and PTB-depleted glioma cells. Only one validated glioma-specific splice target, RTN4/Nogo, had a significant PTB-mediated splicing change. Downregulation of PTB enhanced inclusion of its alternative exon 3, which encodes an auxiliary domain within a neurite inhibitor protein. Overexpression of this splice isoform in glioma cells slowed proliferation in a manner similar to that observed in PTB knockdown cells. In summary, aberrant expression of splicing factors such as PTB in glioma may elicit changes in splicing patterns that enhance tumorigenesis. ^

A Kallikrein 15 (KLK15) single nucleotide polymorphism located close to a novel exon shows evidence of association with poor ovarian cancer survival

KLK15 over-expression is reported to be a significant predictor of reduced progression-free survival and overall survival in ovarian cancer. Our aim was to analyse the KLK15 gene for putative functional single nucleotide polymorphisms (SNPs) and assess the association of these and KLK15 HapMap tag SNPs with ovarian cancer survival. Results In silico analysis was performed to identify KLK15 regulatory elements and to classify potentially functional SNPs in these regions. After SNP validation and identification by DNA sequencing of ovarian cancer cell lines and aggressive ovarian cancer patients, 9 SNPs were shortlisted and genotyped using the Sequenom iPLEX Mass Array platform in a cohort of Australian ovarian cancer patients (N = 319). In the Australian dataset we observed significantly worse survival for the KLK15 rs266851 SNP in a dominant model (Hazard Ratio (HR) 1.42, 95% CI 1.02-1.96). This association was observed in the same direction in two independent datasets, with a combined HR for the three studies of 1.16 (1.00-1.34). This SNP lies 15bp downstream of a novel exon and is predicted to be involved in mRNA splicing. The mutant allele is also predicted to abrogate an HSF-2 binding site. Conclusions We provide evidence of association for the SNP rs266851 with ovarian cancer survival. Our results provide the impetus for downstream functional assays and additional independent validation studies to assess the role of KLK15 regulatory SNPs and KLK15 isoforms with alternative intracellular functional roles in ovarian cancer survival.

The proximal first exon architecture of the murine ghrelin gene is highly similar to its human orthologue

BACKGROUND: The murine ghrelin gene (Ghrl), originally sequenced from stomach tissue, contains five exons and a single transcription start site in a short, 19 bp first exon (exon 0). We recently isolated several novel first exons of the human ghrelin gene and found evidence of a complex transcriptional repertoire. In this report, we examined the 5' exons of the murine ghrelin orthologue in a range of tissues using 5' RACE. -----FINDINGS: 5' RACE revealed two transcription start sites (TSSs) in exon 0 and four TSSs in intron 0, which correspond to 5' extensions of exon 1. Using quantitative, real-time RT-PCR (qRT-PCR), we demonstrated that extended exon 1 containing Ghrl transcripts are largely confined to the spleen, adrenal gland, stomach, and skin. -----CONCLUSION: We demonstrate that multiple transcription start sites are present in exon 0 and an extended exon 1 of the murine ghrelin gene, similar to the proximal first exon organisation of its human orthologue. The identification of several transcription start sites in intron 0 of mouse ghrelin (resulting in an extension of exon 1) raises the possibility that developmental-, cell- and tissue-specific Ghrl mRNA species are created by employing alternative promoters and further studies of the murine ghrelin gene are warranted.

New modal feed network for a compact monopole array with isolated ports

An element spacing of less than half a wavelength introduces strong mutual coupling between the ports of compact antenna arrays. The strong coupling causes significant system performance degradation. A decoupling network may compensate for the mutual coupling. Alternatively, port decoupling can be achieved using a modal feed network. In response to an input signal at one of the input ports, this feed network excites the antenna elements in accordance with one of the eigenvectors of the array scattering parameter matrix. In this paper, a novel 4-element monopole array is described. The feed network of the array is implemented as a planar ring-type circuit in stripline with four coupled line sections. The new configuration offers a significant reduction in size, resulting in a very compact array.

Microphone array shape calibration in diffuse noise fields

This correspondence presents a microphone array shape calibration procedure for diffuse noise environments. The procedure estimates intermicrophone distances by fitting the measured noise coherence with its theoretical model and then estimates the array geometry using classical multidimensional scaling. The technique is validated on noise recordings from two office environments.

Air vehicle simulator : An application for a cable array robot

The development of autonomous air vehicles can be an expensive research pursuit. To alleviate some of the financial burden of this process, we have constructed a system consisting of four winches each attached to a central pod (the simulated air vehicle) via cables - a cable-array robot. The system is capable of precisely controlling the three dimensional position of the pod allowing effective testing of sensing and control strategies before experimentation on a free-flying vehicle. In this paper, we present a brief overview of the system and provide a practical control strategy for such a system. ©2005 IEEE.