Sentence examples for basis of expression profiles from inspiring English sources

In this study the TFactor enrichment analysis was performed on two sets of EC-restricted genes categorized on the basis of expression profiles; the sets of genes are highly expressed in i); all EC types (pan EC), ii); only in HMVEC.

These findings demonstrated that in addition to the presence of an insertion element, two isolates could be differentiated on the basis of expression profiles.

Hence, on the basis of expression profiles AtDCL3 and OsDCL3b share similar expression domains, although the encoded proteins possess highly divergent dsRBb domains and could therefore be interacting with different RNA substrates.

Unlike the study conducted by Stephens and coworkers [ 15], we did not observe enrichment of nonsynonymous changes relative to synonymous changes in our set of 21 genes chosen on the basis of expression profiles.

On the basis of expression profiles, genes were grouped by using self-organizing maps (SOM) and distance matrix Euclidian on rows (developmental expression) and both rows and columns (stress expression) with 100 maximum iterations.

Although we know a lot about chemotherapy resistance, sometimes it is difficult to explain response of cancer cells to cytostatic drugs on the basis of expression profile of genes involved in drug resistance.

The goal of this study was to classify SERMs on the basis of gene expression profiles of breast cancer cells expressing either wtERα (D351) or mutant351ERα (D351Y) after exposure to SERMs for 24 h.

Here, we report improved methods for in vitro maturation of cumulus-free human oocytes by supplemented culture media with ovarian paracrine/autocrine growth factors that were selected on the basis of gene expression profiles of single human oocytes and associated cumulus cells.

The unsupervised clustering results strongly suggest that cancer tissues may be distinguished from each other on the basis of the expression profiles of 12 or less chromatin modifier genes.

The aim of the current study was to build a q-PCR-based computational model able to preoperatively diagnose benign and malignant thyroid tumors on the basis of the expression profiles of the genes mentioned above (KIT, SYNGR2, C21orf4, Hs.296031, Hs.24183, CDH1, LSM7), plus two other genes (TC1, NATH) known to be involved in thyroid carcinogenesis from the literature [ 8- 10].

This classification is not fully consistent with the clustering of genes on the basis of their expression profiles in the absence of an inhibitor.