When the MDM2 gene acts with a specific protein found in cancer cells’ mitochondria, it can lead to cancer cell death. The study which discovered this fact, published by Mount Sinai researchers in Molecular Cell journal, could open new treatment opportunities for cancer patients in the future.
Disruptive science can have a significant impact outside of our own domains of research and into our personal lives. Keeping abreast of these developments can help prepare and inspire.
The ATDC gene has been identified as necessary for the development of pancreatic cancer. Deleting the gene in pancreatic cells led to “one of the most profound blocks of tumour formation ever observed in a well-known mice model engineered to develop pancreatic ductal adenocarcinoma”.
Two molecules which switch off CRISPR could be used to make gene editing therapies safer in the future. Harvard University’s Amit Choudhary and his colleagues said the molecules could stop CRISPR making unintended changes to DNA, potentially harming the individual.
Network algorithms can improve cancer treatment effectiveness by better determining how genes interact, researchers from the University of Sussex have found. The algorithm built by the scientists, Slant, uses current data to find patterns associated with being part of a synthetic lethal interaction.
Questions around legality, protecting privacy and ensuring quality of data in DNA sequencing all need answering, a symposium recently held at the University of Minnesota has announced. LawSeq, a $2 million project looking to solve the issue of privacy and legality in sequencing, is exploring how to ensure the legal world catches up with current science.
A new polygenic risk score tested data from 300,000 people to forecast risk of obesity. The study found that 10% of adults with the highest genetic risk were 25 times more likely to become severely obese than the 10% whose genes were most likely to keep them slim.
Genetic research is a big data problem without researchers generally having access to this “big” genomic and medical data. Not only has it been nearly impossible to access enough relevant data to support research, but analysing the data has been slow and challenging due to its sheer volume. To counter this, in recent years a number of pharmaceutical companies have announced large-scale collaborations around genomic data to uncover novel drug targets, validate existing drug pipelines, predict response, and expand therapeutics use. We discuss some of the biggest and most recent.
Front Line Genomics’ “Biodata Analysis and Management – Genome Analytics, Interoperability, and Data Life Cycle” report isn’t just an update of our old Genomic Data 101 guides: packed with new information on AI and machine learning,. data discoverability and data interoperability, it is much much more.
Two companies with access to data from the 100,000 Genomes Project have identified patients with previously undiscovered life-threatening kidney and neurological diseases. The companies, Alexion and BioMarin, were part of Genomic England’s Discovery Forum, which grants certain industry research proposals access to data from the project after vetting.
Initial Study on Plasma Samples and Liquid Biopsy Potential Completed by Genomics England, Inivata and Thermo Fisher Scientific
The first stage of a collaboration between Genomics England, Inivata and Thermo Fisher Scientific looking to assess the suitability of circulating tumour DNA (ctDNA) samples collected during the 100,000 Genomes Project has now concluded. The collaboration was also created to objectively evaluate liquid biopsy market offerings and find evidence for implementing that technology in healthcare for better disease treatment and prevention.
Cambridge and London researchers have created a database of DNA mutation “fingerprints” which can be used to determine the environmental factors contributing to a patient’s tumour. The study, published in Cell journal, can determine 41 different environmental agents linked to cancer, including the traces left in lung tumours by chemicals linked particularly to tobacco smoke.
Compression software company Petagene has announced the addition of “Petagene Protect” to its suite of genomic data projects, giving users the ability to encrypt and manage access to genomic data, as well as ensuring compliance with all relevant regulations.
The rules that cells use to determine which genes they must activate and under what conditions have been further uncovered by scientists at New York University. The findings develop the understanding around how gene variants affect phenotypic traits.
A team from the Wellcome Trust Sanger Institute and Broad Institute have used CRISPR-Cas9 to identify key genes required for cancer survival. Over 18,000 genes from 30 different cancer types were screened, a computational framework then developed to prioritise the 600 most promising drug development targets.
Scientists at the University of California San Diego have created a new version of a gene drive which could lead to spreading specific, favourably genetic variants through a population. This “allelic drive” uses a guide RNA to direct CRISPR to cut undesired gene variants and replace them with better versions of the gene.