Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Pilot-study for a novel universal tool for detection of oncogenic fusion transcripts

ABSTRACT: A novel oligonucleotide microarray design is described whereby one can screen for all known oncogenic fusion transcripts by one microarray hybridization. Measurements of chimeric transcript junctions are combined with exon-wise measurements of individual fusion partners. Keywords: Nimblegen custom-design

ORGANISM(S): Homo sapiens

PROVIDER: GSE14435 | GEO | 2009/01/19

SECONDARY ACCESSION(S): PRJNA111769

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Pilot-study for a novel universal tool for detection of oncogenic fusion transcripts

Project description:A novel oligonucleotide microarray design is described whereby one can screen for all known oncogenic fusion transcripts by one microarray hybridization. Measurements of chimeric transcript junctions are combined with exon-wise measurements of individual fusion partners. Keywords: Nimblegen custom-design The pilot data included a design with 68,861 oligonucleotide probes covering all combinations of chimeric exon-exon junctions from 275 pairs of fusion genes, as well as sets of oligos internal to all the exons of the fusion partners. Proof of principle was demonstrated by detection of known fusion genes (such as TCF3:PBX1, ETV6:RUNX1, and TMPRSS2:ERG) from six positive controls consisting of leukemia cell lines and prostate cancer biopsies.

2010-05-06 | E-GEOD-14435 | biostudies-arrayexpress

Hereditary Hearing Loss SNP-Microarray Pilot Study

Project description:Objectives: Despite recent advancements in diagnostic tools, the genomic landscape of hereditary hearing loss remains largely uncharacterized. One strategy to understand genome-wide aberrations includes the analysis of copy number variation that can be mapped using SNP-microarray technology. A growing collection of literature has begun to uncover the importance of copy number variation in hereditary hearing loss. This pilot study underpins a larger effort that involves the stage-wise analysis of hearing loss patients, many of whom have advanced to high-throughput sequencing analysis. Data description: Our data originate from Infinium HumanOmni1-Quad v1.0 SNP-microarrays (Illumina) that provide useful markers for genome-wide association studies and copy number variation analysis. This dataset comprises a cohort of 108 individuals (99 with hearing loss, 9 normal hearing family members) for the purpose of understanding the genetic contribution of copy number variations to hereditary hearing loss.

2018-03-06 | GSE111131 | GEO

Gene expression profiling as a tool for sediment risk assessment: a pilot study using Caenorhabditis elegans whole genome microarrays

Project description:Toxicity of river sediments are assessed using whole sediment toxicity tests with benthic organisms. The challenge, however, is the differentiation between multiple effects caused by complex contaminant mixtures and the unspecific toxicity endpoints such as survival, growth or reproduction. Moreover, natural sediment properties, such as grain size distribution and organic carbon content, can influence the test parameters by masking pollutant toxicity. The use of gene expression profiling facilitates the identification of transcriptional changes at the molecular level that are specific to the bioavailable fraction of pollutants. The nematode Caenorhabditis elegans is ideally suited for these purposes, as (i) it can be exposed to whole sediments, and (ii) its genome is fully sequenced and widely annotated. In this pilot study we exposed C. elegans for 48 h to three sediments varying in degree of contamination with e.g. heavy metals and organic pollutants. Following the exposure period, gene expression was profiled using a whole genome DNA-microarray approach. Whole genome DNA microarray experiments were performed using a common reference design to identify differentially expressed genes in nematodes exposed to one of three river sediments of differing pollution level. Each sample consists of the 5 “biological replicates”.

2008-06-25 | E-GEOD-11837 | biostudies-arrayexpress

Gene expression in normal tissues to validate the first generation porcine oligonucleotide microarray

Project description:Lung, liver, muscle (Semitendinosus), small intestine (duodenum; approximately 5 cm from stomach) were collected from six cross-bred white pigs (three 15 week old and three 17 week old). Total RNAs were isolated from these tissues to study gene expression by using the first generation of porcine long oligonucleotide microarray. In the experimental design, tissue samples from the six animals were assigned to six loops (three for younger animals and three for older animals). One sample from each of the four tissues from a single animal was used in each loop. The order of the tissues in each loop was varied so that all pairs of tissues were represented together on a slide an equal number of times. Dye balance was used throughout so that each tissue was measured an equal number of times with each dye. Data from 48 measurements from 24 slides were collected, with 12 measurements for each tissue. The mixed model included fixed effects for dye, tissue, animal age, and age-by-tissue interaction as well as random effects for slide, animal, and animal-by-tissue interaction. Genes with expression significantly higher in one tissue than in each of the others will be referred to as tissue-selective genes. To identify such genes, pair-wise comparisons of normalized signal intensities between tissues were conducted as part of our mixed model analyses for each gene. Keywords: repeat sample

2005-03-05 | GSE2335 | GEO

Identification of genes differentially expressed during half-head regeneration in Schmidtea mediterranea

Project description:We used Nimblegen arrays with design 2007-11-06_Smed_ESTs_4_exp to measure changes in gene expression during a timecourse of regeneration of one side of the head in Schmidtea mediterranea flatworms. Following amputation of one side of the head, samples were collected from both the regeneration blastema and non-regenerating side of the head on days 2, 3, and 4 post-amputation. Gene expression in these samples was compared to that in non-regenerating control samples collected at the time of amputation.

2014-12-01 | GSE62551 | GEO

CIP: Obesity-Diabetes Familial Risk

Project description:<p>The VIVA LA FAMILIA Study was designed to identify genetic variants influencing childhood obesity and its comorbidities in the Hispanic population. Family recruitment and phenotyping were conducted in 2000-2005 in Houston, TX. All enrolled children (n=1030) and parents gave written informed consent or assent. The protocol was approved by the Institutional Review Boards for Human Subject Research for Baylor College of Medicine and Affiliated Hospitals and for Texas Biomedical Research Institute. The VIVA LA FAMILIA study design and methodology have been described in detail (Butte NF, 2006). Each family was ascertained on an obese proband, defined as a BMI > 95th percentile, between the ages 4-19 y. The cross-sectional, longitudinal study design consisted of baseline measurements, with a one-year. GWAS was performed using the Illumina HumanOmni1 v1.0 BeadChips on 815 children from 263 Hispanic families and HumanOmni 2.5-8v1 on an additional 43 children. Exome sequencing is being performed on 822 children using NimbleGen capture, followed by Illumina DNA sequencing.</p> <p>Butte NF, Cai G, Cole SA, Comuzzie AG. Viva la Familia Study: genetic and environmental contributions to childhood obesity and its comorbidities in Hispanic population. Am J Clin Nutr 2006;84(3):646-54. PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/16960181" target="_blank">16960181</a></p>

| phs000616 | dbGaP

Easy-Prime: a machine learning–based prime editor design tool

Project description:We developed ML-based methods to optimize PE design

2021-07-26 | GSE175955 | GEO

Contribution of unique genes by individual cell lines to Universal Mouse Reference RNA

Project description:RNA from 11 individual mouse cell lines were reverse-transcribed to cDNA, labeled with Cy5 and cohybridized with Cy3-labeled UMRR onto 7,500-spot mouse oligo microarrays (UNC). The data was analyzed using GeneTraffic software. 300-1000 spots out of 8,000 were flagged on each microarray and excluded from further analysis. Spots with hybridization signals in Cy5 channel higher than 1000 and with Cy5/Cy3 ratio greater than 2 were collected and the number of spots with these characteristics on only one microarray was determined. A reference experiment design type is where all samples are compared to a common reference. Keywords: reference_design

2006-01-05 | GSE3974 | GEO

Next Generation DNA sequencing of telomere fusion events isolated from HCT116 LIG3-/-:mL3, HCT116 LIG4-/-, WT HCT116 and MRC5HPVE6E7 cells

Project description:We characterized the DNA sequences spanning telomere fusion junctions focusing on XpYp:17p inter-chromosomal events in HCT116 LIG3-/-:mL3, HCT116 LIG4-/-, WT HCT116 and MRC5HPVE6E7 cells.

2014-07-30 | E-MTAB-2769 | biostudies-arrayexpress

Universal correction of enzymatic sequence bias

Project description:Coupling molecular biology to high throughput sequencing has revolutionized the study of biology. Molecular genomics techniques are continually refined to provide higher resolution mapping of nucleic acid interactions and nucleic acid structure. These assays are converging on single-nucleotide resolution measurements, but the sequence preferences of molecular biology enzymes can interfere with the accurate interpretation of the data. Enzymatic sequence preferences manifest more prominently as the resolution of these assays increase. We developed seqOutBias to seek out enzymatic sequence bias from experimental data and scale individual sequence reads to correct the bias. We show that this software efficiently and successfully corrects the sequence bias resulting from DNase-seq, TACh-seq, ATAC-seq, MNase-seq, and PRO-seq data.

2016-12-21 | GSE92674 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data