Not exact matches
As new oncogenic
driver genes are
identified, the testing process becomes less efficient because more
genes need to be analyzed in limited amounts of tumor tissue.
Scientists have not been able to
identify clearcut
drivers for TNBC but there has been some evidence that the JAK2
gene may play a role.
Using genetic and epigenetic analyses coupled with powerful perturbation technologies to test
gene functions in human cells and mouse models, we hope to
identify the critical
drivers of this disease and the basis for therapeutic responses.
Invivoscribe's clinical laboratories also offer comprehensive MyAML ®, MyHeme ®, MyMRD ®, and custom
gene panels, that when used in combination with Invivoscribe's proprietary MyInformatics ® Software can
identify and track primary
driver mutations as well as the subclonal architecture and emergence of new
driver mutations in patients with hematologic disease.
First Major
Gene Mutation for Hereditary Prostate Cancer Found After a 20 - year quest to find a genetic
driver for prostate cancer that strikes men at younger ages and runs in families, researchers have
identified a rare, inherited mutation linked to a significantly higher risk of the disease.
Invivoscribe also offers comprehensive MyAML ®, MyHeme ®, MyMRD ®, and custom
gene panels, that when used in combination with Invivoscribe's proprietary MyInformatics ® Software can
identify and track primary
driver mutations as well as the subclonal architecture and emergence of new
driver mutations in patients with hematologic disease.
Here we present a rapid genome - wide approach capable of
identifying multiple genetic
drivers of medically relevant phenotypes within malaria parasites via a single experiment at single
gene or allele resolution.
Here, we performed forward genetic screening in mice using Sleeping Beauty transposon mutagenesis to
identify candidate BC
driver genes in an unbiased manner, using a stabilized N - terminal truncated β - catenin
gene as a sensitizer.
361/11: 00 Systematic analysis of mutation distribution in three dimensional protein structures
identifies cancer
driver genes.
The authors
identify ten sub-regions based on differential
gene expression, combining the expression patterns of GAL4
driver lines and RNA seq. of dissected segments of the gut.