What’s been going on in the life sciences world this week? Check out Week in Brief for an overview of the biggest news from the last seven days.
Researchers have developed an AI model that can identify altered genes in a cell by analysing images of chromatin structure. This machine learning tool bridges the gap between cell imaging and molecular biology, offering a faster and cheaper way to understand disease genetics and predict drug targets compared to traditional sequencing methods.
Scientists have engineered more efficient CRISPR-associated transposases that can insert entire healthy genes into human cells. This advancement overcomes previous limitations, offering a new strategy for that could address multiple mutations for a single genetic disease.
Scientists have engineered a small bacterial enzyme into an programmable tool for DNA editing, which, due to its compact nature, could be more efficiently delivered to cells. By modifying the enzyme based on its natural evolution and AI-driven structural predictions, they created a more active, specific editor.
A study of nearly 10,000 parent-child trios has revealed that a child’s genetic ancestry and their parents’ lifestyle choices are correlated with the development of new mutations. While paternal age remains the most significant factor, the research shows that parental smoking habits play a significant role in the development of de novo mutations.
A study of over 50,000 OCD patients has revealed 30 genomic regions linked to the debilitating condition. OCD shares genetic risk with a range of other mental health conditions, including anxiety and depression, with these findings pointing towards potential future treatment avenues.
An infant suffering from a severe genetic disease has become the first person to receive personalised CRISPR-based gene therapy designed to correct his specific mutations. This bespoke treatment, developed rapidly by an international team, aims to mend his body’s inability to process protein, offering a potential path for treating other rare genetic conditions.
Scientists have mapped the genome of Brazil’s highly admixed population, incorporating African, Native American and European ancestries. This extensive genetic database reveals key information about the nation’s history and identifies over 8 million previously unknown genetic factors, many of which are relevant to the health of Brazil’s diverse populace.
Research has identified a crucial protein, dynamin 1, as a key driver of ovarian cancer metastasis, the main cause of death from this disease. DNM1 plays a role in promoting the cancer cells’ ability to spread, and this finding offers a promising new target for more effective treatments.
Researchers have discovered that a nine-amino-acid “microexon” inserted into a neuronal protein is vital for brain development and memory. When this microexon was missing in mice, it led to fewer “learning spines” in their brain cells and impaired memory.
Researchers have developed a computational tool called DiffInvex, which tracks how genetic changes lead to healthy cells evolving into tumours. By analysing over 11,000 human genomes, DiffInvex has identified the mechanisms some cancers use to resist treatment, revealing key genes that drive this resistance.
