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GSE28736
Mus musculus
5 Downloadable Samples
Description
compare wild type and Batf-/- B cells activated for 0 1 or 2 days in vitro.
Publication Title
The transcription factor BATF controls the global regulators of class-switch recombination in both B cells and T cells.
Sample Metadata Fields
Specimen part
View Samples GSE9460- Mus musculus
- 21 Downloadable Samples
Description
expression analysis from a genetically engineered mouse model of osteosarcoma
Publication Title
Conditional mouse osteosarcoma, dependent on p53 loss and potentiated by loss of Rb, mimics the human disease.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 10 Downloadable Samples
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
SIRT1 redistribution on chromatin promotes genomic stability but alters gene expression during aging.
Sample Metadata Fields
Sex, Age
View Samples- Mus musculus
- 12 Downloadable Samples
Description
Amplification of MYCN is the most prominent genetic marker of high-stage neuroblastoma, a childhood tumor originating from the neural crest. We generated a cell line (mNB-A1) from tumors developed in transgenic mouse and treated these cells with DMSO (n=6), the BRD4-inhibitor JQ1 (n=3) or the AURKA-inhibitor MLN8237 (n=3) for 24 h.
Publication Title
A Cre-conditional MYCN-driven neuroblastoma mouse model as an improved tool for preclinical studies.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Mus musculus
- 10 Downloadable Samples
Description
Aging is associated with major nuclear changes affecting genomic integrity and gene expression. Here we compare the gene expression profiles in the neocortex of young (5 months old) and old (30 months old) B6xC3 F1 mice.
Publication Title
SIRT1 redistribution on chromatin promotes genomic stability but alters gene expression during aging.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 22 Downloadable Samples
Illumina Genome Analyzer, Illumina Genome Analyzer IIx
Description
We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states. Overall design: Examination of blood component in 20 different time points over 1.5 years which includes 2 disease state and 18 healty state Related exome studies at: SRX083314 SRX083313 SRX083312 SRX083311
Publication Title
Personal omics profiling reveals dynamic molecular and medical phenotypes.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples