The mechanism of PARP inhibitor action is identified
New findings will enable the development of safer PARP inhibitors that inhibit PARP’s enzymatic activity without trapping it on DNA.
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New findings will enable the development of safer PARP inhibitors that inhibit PARP’s enzymatic activity without trapping it on DNA.
In this Q&A, Aki Ko, CEO and co-founder of Elixirgen Therapeutics, elucidates how their new mRNA technology could potentially restore muscle function in those suffering from Duchenne muscular dystrophy.
Scientists have reported a promising technique, based on somatic cell nuclear transfer, to treat infertility.
Researchers have developed an algorithm which could improve diagnostics of ovarian high-grade serous carcinoma.
Researchers find that the RAD51 protein prevents genomic duplications that could arise from reactivated origins.
Dr Amber Van Laar shares her remarkable journey in STEM. From a childhood fascination with science and medicine to a pivotal role as VP Clinical Development, AskBio. In this interview, she explores the profound impact of her early exposure to neuro-oncology, the challenges faced as a physician-scientist, and the pursuit…
Researchers have developed the world’s first animal model with A-to-G mtDNA edits achieved using engineered TALEDs.
Researchers suggest that DA histology slowly emerges by accumulating burdens of DNA damage and copy number aberrations.
A deep learning model developed using circulating cell-free DNA outperformed traditional screening methods for gestational diabetes mellitus.
For the first time, mitochondrial DNA mutations could be used with immunotherapy to increase the chances of successful treatments.
PLK4 inhibition could be a novel therapeutic for an acute myeloid leukaemia subtype carrying the TP53 mutation.
Researchers have made surprising and important findings that may influence organoid and cell reprogramming studies.
Researchers explored the effects of loops and 3D genome organisation on gene silencing, and found that ‘cohesinopathies’ may be linked it.
The ML algorithm explores how genetic mutations collectively influence a tumour’s reaction to drugs impeding DNA replication.
Disruptions in TP53 and RB1 are key influencers that cause changes in the risk of mutations across chromosomes.