Gene Expression
Genomics Primer
Gene panel predicts response to mepolizumab among children with asthma
SAN DIEGO — The relative expressions of three genes associated with the airway predicted mepolizumab response among urban children with asthma, according to a study presented at the American Thoracic Society International Conference.
Semaglutide may change perception, brain response to sweet tastes
BOSTON — In a proof-of-concept study, women with obesity who took semaglutide reported enhanced taste perception, and researchers observed altered gene expression in their tongues and their brain reward response related to sweet tastes.
Quest Diagnostics released new gene expression test for melanoma risk prediction
Quest Diagnostics has launched MelaNodal Predict, an advanced predictive gene expression test for patients with melanoma, the company announced in a press release.
Gene expression analysis effective in melanoma detection in skin of color
In patients with Fitzpatrick skin types IV through VI, gene expression analysis can help rule out melanoma, according to a poster presented at the Winter Clinical Dermatology Conference.
Gene expression profiling may reduce unnecessary biopsies in melanoma
Clinical gene expression profiling may be able to better identify melanoma patients who can safely forgo sentinel lymph node biopsy compared with current recommended conventions, according to a study.
The importance of molecular endocrinology: A conversation with Mitchell A. Lazar, MD, PhD
Mitchell A. Lazar, MD, PhD, has always been interested in organic chemistry, biochemistry and mental illness, which led him to delve into research on the regulation of gene expression in response to hormones, metabolites and drugs.
Gene expression profiling may help in skin cancer management
Understanding the types of gene expression profiling available may help practitioners integrate these tools into their practices, according to a study.
VIDEO: Gene expression algorithm helps identify basal cell carcinoma biomarkers
NEW ORLEANS — A machine learning algorithm was able to differentiate between basal cell and squamous cell carcinomas by identifying biomarkers, according to a poster presented here.
Gene expression may potentially be used to stratify patients with systemic sclerosis
It may be possible to use the signature of classical and non-classical circulating monocytes to stratify patients with systemic sclerosis and predict disease severity and outcomes, according to data published in Arthritis & Rheumatology.