Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Wild-type and COUP-TFI-/- newborn inner ear microarrays

ABSTRACT: In order to establish a list of candidate direct COUP-TFI gene targets in the inner ear, we analyzed the differential gene expression profiles of the wild-type and the COUP-TFIâ/â P0 inner ears. We performed a total of 8 microarray experiments using Affymetrix MG-U74Av2 chips, including 2 biological and 2 experimental replicates per genotype sample. Due to limiting RNA yields from the newborn inner ear, each microarray chip was hybridized with an RNA pool from multiple tissue samples. We analyzed our data using two different algorithms: GC-Robust Multi-Array (GCRMA) and dChip. Each normalized expression dataset was subsequently analyzed by 2-way ANOVA, evaluating both genotype and experimental effects. This statistical approach allowed us to 1) account for an experimental effect observed in the expression value of many genes, therefore increasing the power of the analysis, and 2) filter out potential expression differences due to contamination during dissections (contaminating genes would present as probes with a significant interaction p-value). Using this methodology, the gene hits from the GCRMA-normalized expression dataset consisted of 256 genes with a significant genotype effect (p<0.01) and no interaction (p>0.01). Similar cutoffs applied on the dChip-normalized dataset resulted in 250 significant gene hits. Within both groups, COUP-TFI has the lowest genotype p-value, validating our statistical approach.

ORGANISM(S): Mus musculus

SUBMITTER: Scott Pletcher

PROVIDER: E-GEOD-16744 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Genome-wide analysis of binding sites and direct target genes of the orphan nuclear receptor NR2F1/COUP-TFI.

Montemayor Celina C Montemayor Oscar A OA Ridgeway Alex A Lin Feng F Wheeler David A DA Pletcher Scott D SD Pereira Fred A FA

PloS one 20100127 1

<h4>Background</h4>Identification of bona fide direct nuclear receptor gene targets has been challenging but essential for understanding regulation of organismal physiological processes.<h4>Results</h4>We describe a methodology to identify transcription factor binding sites and target genes in vivo by intersecting microarray data, computational binding site queries, and evolutionary conservation. We provide detailed experimental validation of each step and, as a proof of principle, utilize the m ...[more]

PMID: 20111703

Similar Datasets

Project description:The debate on the origin and evolution of flowers has recently entered the field of developmental genetics, with focus on the design of the ancestral floral regulatory program. Flowers can differ dramatically among angiosperm lineages, but in general, sterile perianth organs surrounding stamens (male reproductive organs) and carpels (female reproductive organs) constitute the basic floral structure. However, the basal angiosperm lineages exhibit spectacular diversity in the number, arrangement, and structure, of floral organs, while the evolutionarily derived monocot and eudicot lineages share a far more uniform floral ground plan. As such, regulatory mechanisms underlying the archetypal floral plan, for instance that of the eudicot genetic model Arabidopsis thaliana, are unlikely to apply to the original flowers. Here we show that broadly overlapping transcriptional programs characterise the floral transcriptome of the basal angiosperm Persea americana (avocado), while floral gene expression domains are typically organ-specific in Arabidopsis. Our findings extend the âfading bordersâ model for basal angiosperms from organ identity genes to the downstream floral transcriptome, and suggest that the combinatorial mechanism for organ identity may not operate in basal angiosperms as it does in Arabidopsis. Furthermore, fading expression of components of the stamen transcriptome in central and peripheral regions of Persea flowers resembles the developmental program of the hypothesized gymnosperm âfloral progenitorâ. Accordingly, in contrast to the canalized organ-specific regulatory apparatus of Arabidopsis, floral development may have been originally regulated by overlapping transcriptional cascades with fading gradients of influence from focal to bordering organs. Expression profiles of inflorescence buds, pre-meiotic floral buds, inner and outer tepals, stamens, carpels, initiating fruit, and leaves were assessed in an interwoven double loop design for eight samples with 16 arrays. Sample materials were collected from two individuals (biological replicates) cultivated on the University of Floridaâs Gainesville campus, and RNA was isolated twice for technical replication. Thus, four RNA extractions from each of the eight tissue types listed above were individually labeled with Cy3 (twice) or Cy5 (twice) and hybridized with four other Cy3 or Cy5 labeled samples as a dual channel array system.

Project description:Using data from high-density genomic profiling arrays, we describe the profiles of somatic copy-number aberrations (SCNAs) in 486 adenocarcinomas across all three major digestive organs, including 296 gastric and esophageal cancers. This analysis revealed that although patterns of broad, chromosome arm-level alterations are similar across the three types of adenocarcinoma, focal genomic amplifications are substantially more prevalent in gastric/esophageal adenocarcinoma. A statistical analysis identified 64 regions of significantly recurrent amplification and deletion, including those shared across these tumors and those uniquely significant in adenocarcinomas from a single organ. Among significantly amplified genes are those encoding therapeutically targetable kinases such as ERBB2, FGFR1, FGFR2, EGFR, and MET, events noted in 14% of colorectal adenocarcinomas and 37% of gastric/esophageal tumors suggesting that analysis of genomic amplification will be a critical source of biomarkers to guide therapies in upper gastrointestinal adenocarcinomas. While many of the other significant loci of amplifications implicate genes recognized to play roles in gastrointestinal and other cancers, other loci point to regions that may harbor novel genes contributing to these cancers. One such event is a recurrent focal deletion present in 15% of esophageal adenocarcinomas, which we narrow to a single likely target, the Runt transcription factor subunit RUNX1. Indeed, reintroduction of RUNX1 into a cell model with this deletion inhibited anchorage-independent growth. Overall, these results demonstrate genomic features common to these tumors and identify key differences that reflect distinctive biology and potential opportunities for therapeutic intervention. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from 87 cancer DNAs derived from primary tumor tissues, as well as from DNA obtained from 1,480 normal DNA samples. Signal intensities were normalized to raw copy number estimates using the tangent normalization method, as described in Beroukhim et al., In Press and Mermel et al., In preparation. The 250K Sty data from this submission were combined with data for 128 colon adenocarcinomas (Firestein et al, Nature 2008) and segmented using GLAD. These segmented data were then combined with segmented SNP 6.0 data for 62 colon, 97 gastric and 112 esophageal adenocarcinomas using common markers to anchor the segments. Data analysis across samples was performed using this GISTIC 2.0 algorithm (Mermel C et al, Genome Biology 2011).

Project description:Using criteria based on known examples, we identified approximately 1.7 million and 2.4 million sequences encoding putative miRNA precursor (stem-loop) structures in the mouse and human genomes, respectively, as well as large numbers of such structures in the genomes of fish, fruitfly and nematode worm. These predictions were then tested using high density custom microarrays containing modified oligonucleotides interrogated with purified small RNAs from different tissues. We found that 19% of 4,006 randomly chosen mouse predictions and 40% of 1,859 randomly chosen human predictions gave positive signals with small RNA isolated from whole 10-12 day embryos and a mixture of brain and testis, respectively, 84% of which hybridized to only one strand of the predicted stem-loop structure, whereas only 2% and 12% of equivalent random mouse and human predictions were positive. There was no difference in the validation rates between sequences exhibiting conservation and those that did not. High validation rates were also observed with predictions from fish, fly and worm genomes. Northern blot analysis of the array-positive mouse predictions confirmed that the vast majority of these sequences were detectable as small RNAs whose sizes ranged from 20-110 nucleotides. Taking into account false negative rates of the prediction and detection of known miRNAs, and assuming that this holds for other small RNAs, we estimate that there are 1 million small RNAs expressed in mouse and 3 million small RNAs in human. Keywords: genomic survey of small RNAs Stemloops were identified in the mouse and human genome using RNALfold with a window size of 110nt. Folding energy and other criteria were used to filter the structures into a set of miRNA-like stems. Stems were chosen randomly and probes designed against the stem regions. Stems were called present if one of the stem probes was more than 4 standard deviations above the signal distribution of mRNA degradation contamination probes designed against GAPDH and beta-actin.

Dataset Information

Wild-type and COUP-TFI-/- newborn inner ear microarrays

Publications

Genome-wide analysis of binding sites and direct target genes of the orphan nuclear receptor NR2F1/COUP-TFI.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure