Sentence examples for using genomic profiling to from inspiring English sources

Numedii is using genomic profiling to reposition drug compounds already approved by the FDA.

The advantages of using genomic profiling to estimate pathway activity in tumor samples over standard biochemical methods include the ability to measure multiple pathways simultaneously in an individual sample and the ability to profile a large number of tumors to uncover novel patterns of pathway deregulation.

Using genomic profiling, at least six breast cancer intrinsic subtypes have been identified on the basis of their distinct molecular signatures rather than their clinical or histopathologic behavior: luminal A, luminal B, HER2+, basal-like, normal breast-like and the most recently recognized claudin-low [ 2, 12, 42, 43].

Hypermethylation of CGI promoters was classically believed to directly drive carcinogenesis by silencing tumor suppressor genes 8. Studies using genomic profiling technologies have conclusively demonstrated that this is not the case for the vast majority of aberrantly hypermethylated genes, as they are already silenced in the corresponding normal cells that give rise to cancer 11– 11.

We compared 73 meningiomas presenting as sporadic solitary (64), sporadic multiple (5) and familial multiple (4) tumors using genomic profiling by array comparative genomic hybridization (array CGH).

SAFB1 (like hnRNPs and SR proteins) can bind RNA via its N-terminal RNA recognition motifs; however, these interactions have not yet been investigated using genomic profiling techniques.

However, all these studies did confirm that AS/SpA cases could be reliably distinguished from healthy controls using genomic profiling [ 20- 23].

Using genomic profiling with OncoMap coupled with an analytical mutation-calling algorithm and orthogonal validation step, numerous mutations have been identified in genomic DNA from both frozen and FFPE tumor tissue with a high degree of specificity and sensitivity[ 21].

In this study, we developed a DIGRE model to predict synergistic effects of drug combinations using genomic profiles.

Alternatively, using genomic profiles of known OGs and TSGs as a reference, machine learning based predictors can be trained to identify cancer genes [ 19].

The goal of the study was to predict the treatment effects of pairwise combination of these 14 drugs using genomic profiles before and after treatment with each individual drug.