E-AFMX-4 - Transcription profiling by array of mouse cell types and tissues (GNF/Novartis)

Released on 16 February 2005, last updated on 2 June 2014
Mus musculus
Samples (122)
Array (1)
Protocols (5)
The tissue-specific pattern of mRNA expression can indicate important clues about gene function. High-density oligonucleotide arrays offer the opportunity to examine patterns of gene expression on a genome scale. Toward this end, we have designed custom arrays that interrogate the expression of the vast majority of protein-encoding human and mouse genes and have used them to profile a panel of 79 human and 61 mouse tissues. The resulting data set provides the expression patterns for thousands of predicted genes, as well as known and poorly characterized genes, from mice and humans. We have explored this data set for global trends in gene expression, evaluated commonly used lines of evidence in gene prediction methodologies, and investigated patterns indicative of chromosomal organization of transcription. We describe hundreds of regions of correlated transcription and show that some are subject to both tissue and parental allele-specific expression, suggesting a link between spatial expression and imprinting.
Experiment types
transcription profiling by array, organism part comparison, transcription profiling
A gene atlas of the mouse and human protein-encoding transcriptomes. Andrew I. Su, Tim Wiltshire, Serge Batalov, Hilmar Lapp, Keith A. Ching, David Block, Jie Zhang, Richard Soden, Mimi Hayakawa, Gabriel Kreiman, Michael P. Cooke, John R. Walker, and John B. Hogenesch.
Selection upon genome architecture: conservation of functional neighborhoods with changing genes. Al-Shahrour F, Minguez P, Marqués-Bonet T, Gazave E, Navarro A, Dopazo J. :e1000953 (2010), PMID:20949098
Investigation descriptionE-AFMX-4.idf.txt
Sample and data relationshipE-AFMX-4.sdrf.txt
Raw data (4)E-AFMX-4.raw.1.zip, E-AFMX-4.raw.2.zip, E-AFMX-4.raw.3.zip, E-AFMX-4.raw.4.zip
Processed data (1)E-AFMX-4.processed.1.zip
Array designA-AFFY-39.adf.txt