Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

47 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of human breast epithelial tissue

ABSTRACT:

ORGANISM(S): Homo sapiens

SUBMITTER: Anita Grigoriadis

PROVIDER: E-TABM-657 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Identification of differentially expressed sense and antisense transcript pairs in breast epithelial tissues.

Grigoriadis Anita A Oliver Gavin R GR Tanney Austin A Kendrick Howard H Smalley Matt J MJ Jat Parmjit P Neville A Munro AM

BMC genomics 20090717

<h4>Background</h4>More than 20% of human transcripts have naturally occurring antisense products (or natural antisense transcripts--NATs), some of which may play a key role in a range of human diseases. To date, several databases of in silico defined human sense-antisense (SAS) pairs have appeared, however no study has focused on differential expression of SAS pairs in breast tissue. We therefore investigated the expression levels of sense and antisense transcripts in normal and malignant human ...[more]

PMID: 19615061

Similar Datasets

Comparative genomic hybridization of human breast cancer cell lines

Project description:AM_BreastCancerCellLineExpressionaCGH

2009-02-03 | E-TABM-593 | biostudies-arrayexpress

Transcription profiling of purified populations of normal human breast luminal and myoepithelial cells

Project description:Purified populations of normal human breast luminal and myoepithelial cells were compared with cDNA microarray analysis.

2004-05-04 | E-MEXP-36 | biostudies-arrayexpress

Transcription profiling of normal and malignant human breast epithelial cells

Project description:Multiple genome-wide microarrays have been used to analyse the transcriptomes of immunomagnetically separated normal human luminal epithelial and myoepithelial cells, as well as primary malignant breast epithelial cells.

2006-09-29 | E-TABM-66 | biostudies-arrayexpress

Transcription profiling of patients with diffuse large B-cell lymphoma who do or do not respond to treatment to identify biological markers of sensivity to high-clinical-risk-adapted therapy

Project description:Microarray technology was used to identify new predictive biomarkers in samples of clinically homogeneus patients.

2008-10-26 | E-TABM-364 | biostudies-arrayexpress

Transcription profiling of human nodal peripheral T-cell lymphomas

Project description:Microarray technology was used to monitor the level of expression of 7,657 human genes in a set of 35 nodal peripheral T-cell lymphomas.

2007-01-30 | E-TABM-191 | biostudies-arrayexpress

Transcription profiling and idenrification of gene expression signatures associated with favourable or unfavourable treatment response and clinical outcome of Hodgkin lymphoma patients

Project description:Identification of gene expression signatures associated with favourable or unfavourable treatment response and clinical outcome of Hodgkin lymphoma patients.

2006-06-01 | E-MEXP-507 | biostudies-arrayexpress

Chromatin immunoprecipitation of human lymphoblastic cell line GM06990 using anti Histone H3K4me1, H3K4me2, H3K4me3, H3ac and H4ac antibodies using an ENCODE array

Project description:ENCODE ChIP/chip study using lymphoblastic cell line GM06990 and anti Histone H3K4me1, H3K4me2, H3K4me3, H3ac and H4ac antibodies.

2005-06-13 | E-MEXP-269 | biostudies-arrayexpress

Chromatin immunoprecipitation of activated yeast signal transduction protein kinases

Project description:Cellular signal transduction pathways modify gene expression programs in response to changes in the environment, but the mechanisms by which they regulate populations of genes under their control are not entirely understood. We present evidence that most mitogen-activated protein kinases and protein kinase A subunits become physically associated with the genes they regulate in the yeast genome. The ability to detect this interaction of signaling kinases with target genes can be used to map more precisely and comprehensively the regulatory circuitry that eukaryotic cells use to respond to their environment.

2006-07-28 | E-TABM-98 | biostudies-arrayexpress

Transcription profiling of wild type, sco1 and sco2 knock out mutants of S. cerevisiae BY4741 in early response to different doses of oleic acid

Project description:This experiment describes the transcriptional response to oleic acid as a sole carbon source of yeast strains differing in their respiratory competence: the BY4741 wild type strain is considered as normal, sco1 knock out mutant is respiratory deficient and sco2 knock out mutant has a better respiratory competence then the wild type strain. The three strains underwent metabolic shift from 2% glucose as a carbon source to oleic acid at both standard (0.1%) and high (5%) concentration. The transcriptional profiling comprises two time points after metabolic shift: 2 hours and 5 hours. mRNA levels were compared with reference growth condition: exponential phase in 2% glucose. The purpose of this experiment is to gain deeper insight in the relationship between fatty acid metabolism and respiratory metabolism.

2011-01-31 | E-TABM-614 | biostudies-arrayexpress