Sentence examples for brain gene expression data from inspiring English sources

Interestingly, a recent co-expression network analysis of microarray-based brain gene expression data revealed perturbations in developmental processes in schizophrenia [33].

Expression QTL (eQTL) were established using the HXB/BXH RI brain gene expression data.

Brain gene expression data also provides ample comparisons with previously published findings, mostly focusing on brain tissue gene expression in primitively and advanced eusocial species [ 9, 18].

We analyzed this signature with respect to normal aging brain gene expression data, cell type specificity, microglial polarization and gliosis, revealing novel insights into the neurodegenerative process.

We also tested gene expression overlap with brain gene expression data from nurse/forager, i.e. genes known to be upregulated in nurse brains as compared to forager brains and the other way round [ 41].

To minimize the influence of these factors, we used highly reproducible and validated brain gene expression data sets from a recent meta-analysis of publicly available brain expression data [ 12].

Brain gene-expression data from all six stages in Group 2 studies was normalized together to improve the adjustment for technical variation.

Brain (striatum) gene expression data were obtained using the Illumina Mouse WG 6.1 array, and the data sets were interrogated using a weighted gene co-expression network analysis (WGCNA).

To validate our original observation that the BD-L metagene is enriched in breast cancer-derived brain metastases, gene expression data from an independent cohort consisting of 615 primary breast cancer specimens as well as breast cancer metastasis specimens from brain (n = 19), lung (n = 18), liver (n = 5), and bone (n = 15) was assessed for correlation with BD-L[ 29].

The Allen Brain Atlas in situ hybridization (ISH) data sets (Jones et al., 2009) represent a potentially valuable alternative source of high-throughput brain region-specific gene expression data for such purposes.

Using whole brain whole genome gene expression data from Allen Human Brain Atlas (AHBA) and imaging genetics data from Alzheimer's Disease Neuroimaging Initiative (ADNI) as test beds, we present a novel IGEA framework and conduct a proof-of-concept study to explore high-level imaging genetic associations based on brain wide genome-wide association study (BWGWAS) results.