Sentence examples for microarray database containing from inspiring English sources

To assess this possibility, we assembled a microarray database containing samples associated with a diverse range of 24 cell types (see Methods).

To identify this subset of genes, we screened the expression of these 34 sequences in a separate microarray database containing the expression profile of 30 different colorectal cancer lines assessed using the same 9216-sequence chipschips (Mariadason et al, 2003; the full database is available at http://sequence.aecom.yu.edu/bioinf/Augenlicht/default.html).html

Gene expression data were extracted from the microarray database containing 126 samples (90 gastric cancers, 14 lymph node metastasis and 22 non-tumour gastric mucosae) based on a 3-fold signal above background ratio for either channel and with 80% good data [ 14].

The fact that most microarray databases contain fewer than 200 samples accentuates the problem.

A published microarray gene expression database containing data on 174 tumor samples from ten tissues was mined, enabling the identification of classes of genes whose expression correlates significantly with the intractability, or tractability, to therapy of tumors derived from such tissues.

Recently, the Connectivity Map (CMAP) database containing microarray expression data from cultured cell lines (e.g., human breast cancer cell line MCF-7) treated with bioactive small molecules with known mechanism of action and disease application has been described [17].

Interestingly, a search into the AtGenExpress database containing microarray expression data of Arabidopsis genes revealed that At5g06800 is mostly expressed in tissues lacking chloroplasts such as roots and to a lesser extent pollen and flower organs [ 42].

Our hypothesis was derived from the "Connectivity map" (cMAP) analysis, which is based on the comparison between the database containing microarray expression data (Affymetrix HG-U133A array) from cultured cell lines (e.g., MCF-7) treated with 1,309 bioactive compounds with known mechanism of action [ 13] and our SWT expression data [ 12].

We evaluated the markers for their diagnostic potential using a set of microarray data of the GeneSapiens database containing 147 normal prostate and 329 prostate cancer tissues.

For in silico validation of the genes, a database containing processed GEO microarray samples was established as described earlier (Gyorffy and Schafer, 2009).

Each tissue core was assigned a unique tissue microarray (TMA) location number that was linked to a database containing other clinicopathologic data.