Autor: bygadmin
-
Histone acetylation, transcription factor dynamics contribute to gene expression in brain development
No man is an island, and no neuron is either: complex, intricate connections between and among brain cells are needed for the brain to do its job correctly. Now, researchers from Japan have uncovered a fundamental mechanism that lets neurons know when and how to form these connections. In the study «Repetitive CREB-DNA interactions at…
-
Unraveling the mystery of hereditary diffuse gastric cancer
Gastric cancer, a significant global health burden, claims more than 7% of cancer-related deaths annually. Although only 1%–3% of cases have a genetic basis, understanding these genetic drivers is crucial for developing preventative strategies. Gastric cancer, a formidable foe in the global health arena, casts a long shadow over millions of lives each year. While…
-
Revealing how an ancient genetic invader inhabits our DNA
Billions of years ago, as primitive lifeforms were becoming more complex, a selfish genetic component became a sort of genome colonizer. Using a copy-and-paste mechanism, this pernicious bit of code replicated and inserted itself again and again into a variety of genomes. Over time, all eukaryotic organisms inherited the code—including us. In fact, this ancient…
-
El 18% de los hombres con cáncer de mama tienen mutaciones en el gen BRCA
El riesgo promedio de los hombres de ser diagnosticados con cáncer de mama en algún momento de su vida es de aproximadamente uno de cada 1000. Según los datos extraídos del Registro Nacional de Cáncer de Mama en el Varón, cerca del 18 por ciento de estos pacientes varones presentan mutaciones en los genes de riesgo…
-
Unlocking the human genome: Innovative machine learning tool predicts functional consequences of genetic variants
Model accelerates genetic research toward more tailored treatments Date:December 14, 2023Source:The Mount Sinai Hospital / Mount Sinai School of MedicineSummary:In a novel study, researchers introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants across the genome. Unlike current methods that predominantly focus on loss of function, LoGoFunc distinguishes among different types…