Ontology highlight
ABSTRACT:
PROVIDER: PRJNA98933 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Comparison of gene expression data from human and mouse breast cancers: Identification of conserved breast tumor genes
| PRJNA104185 | ENA
Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.
2023-03-11 | PXD037900 | Pride
Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.
2023-03-11 | PXD037920 | Pride
Project description:This SuperSeries is composed of the following subset Series:; GSE6581: Expression data from mammary glands of transgenic mice; GSE6596: Comparison of gene expression data from human and mouse breast cancers: Identification of conserved breast tumor genes Experiment Overall Design: Refer to individual Series
2008-06-15 | E-GEOD-6772 | biostudies-arrayexpress
Project description:Epigenetic portraits of human breast cancers (expression data)
| PRJNA129577 | ENA
Project description:Gene expression profiling of 30 human breast cancers
| PRJNA114161 | ENA
Project description:Expression data from premalignant breast cancers
| PRJNA100411 | ENA
Project description:The aim of our work was the comparison of human and mouse gene expression data and to identify a conserved breast tumor gene set. The results encourage the usefulness of transgenic mice as a model for human breast cancer formation and therapy. Keywords: Comparison of gene expression data
2007-01-12 | GSE6596 | GEO
Project description:A large number of DNA copy number alterations (CNAs) exist in human breast cancers, and thus characterizing the most frequent ones is key to advancing therapeutics because it is likely that these recurrent CNAs contain breast tumor ‘drivers’ (i.e. causal genes). Here, we have comprehensively profiled a large set of human breast tumors and mouse models of mammary cancers using DNA copy number and gene expression microarrays. By using an across species genetic conservation approach, we identified common altered regions/genes that were similarly altered in both human and mouse breast tumors; additionally, we further demonstrate that many of these conserved CNA regions are also expression-subtype specific, such as the common gain of 1q21-23, or loss of 5q in mouse and human Basal-like cancers. Published functional studies further validated likely driver genes from these regions including Nicastrin (NCSTN) on 1q23 in Basal-like breast cancers. The ability to integrate copy number, and expression data, from mouse and human breast tumors identified at least 25 regions of shared subtype specific alternations, which has identified a number of known drivers and a few regions that merit additional studies.
2014-12-31 | GSE52173 | GEO
Project description:Epigenetic portraits of human breast cancers (methylation data)
| PRJNA129579 | ENA