Sentence examples for discriminated gene expression from inspiring English sources

Instead, Moylan and colleagues analysed and discriminated gene expression profiles in liver biopsies from low-risk, mild, and severe NAFLD patients (according to fibrosis stage) to identify processes that are differentially activated and that might represent novel biomarkers or therapeutic targets for the treatment of patients at high risk for NAFLD-related mortality [ 119].

We have therefore systematically compared four groups of patients of different disorders, with significant overlap in clinical and pathological characteristics with controls and searched for discriminating gene expression patterns as well as common denominators for more than a single disease.

These observations confirm that the flax oligo-array platform is able to accurately discriminate gene expression profiles in different tissues.

Prior to analysis, we formatted the discriminating gene expression values from the test datasets onto spreadsheets according to software instruction, and subsequently applied the data to the software.

These studies have been somewhat limited by the inability to discriminate gene expression from all three individual (A, B and D) homoeoloci.

The use of sixteen subjects (n =  8/group) for gene array analysis was sufficient as it yielded discriminating gene expression profiles with high number of DEGs with stringent P values.

The discriminating gene expression responses triggered by the Hb degradation and LDL peroxidation products, respectively, suggest that not only the extracellular reactions and toxic species but also the cellular signaling pathways clearly differ between these two principal mechanisms of Hb toxicity.

Consequently, classic microarray analysis approaches might not produce optimal results, because they tend to discriminate gene expression profiles on the basis of the experimental settings in which they have been produced rather than on the basis of the stimuli they are responding to (for example a drug treatment).

To identify whether both risk groups could be discriminated using gene expression of HSP90, we constructed Kaplan Meier survival estimates for two equally large groups with "low" and "normal", based on the median HSP90 expression.

Microarray data analysis revealed a set of 204 discriminating genes possessing expression levels which could influence differential chemotherapy response between the two groups.

Thus, any discriminating gene-expression signature had to be sustained over this time interval.