Genomics
Multiomics approach profiles molecular characteristics of glioblastoma
A team of more than 40 investigators has created a profile of the genes, proteins, infiltrating cells, and signaling pathways of the deadly brain cancer glioblastoma. The findings could lead to better patient care, according to the authors of a new study published February 11 in Cancer Cell. Read More
Researchers use modified CRISPR tool to manipulate the epigenome
Bioengineers have developed a new way to engineer the human epigenome (chemical changes in the DNA) using a modified CRISPR-Cas9 system to target and activate proteins in the chromosome. This research, published in Nature Communications on February 9, expands on synthetic genome tools. Read More
New synthetic biology approach may improve delivery of programmable medicines
Programmable medicines that can be controlled by synthetic genetic components are not yet a clinical reality. But synthetic components can now be reconfigured so they don't overwhelm host cells, moving the technology a step closer to clinical reality, according to new research published February 8 in Nature Communications. Read More
Deep-learning approach points the way to faster COVID-19 vaccines
A novel deep neural network can target the most promising multiepitope COVID-19 vaccine candidates in a matter of seconds. The new artificial intelligence framework, which was described in Scientific Reports on February 5, may give scientists an edge in the race against SARS-CoV-2 and its variants by reducing the time from vaccine design to clinical trials. Read More
Recurrent deletions help SARS-CoV-2 mutate to escape antibodies
Researchers have identified a pattern of deletions in the spike glycoprotein of the SARS-CoV-2 virus that can prevent antibody binding, which is part of the body's immune response to a foreign virus. These deletions occur as a recurring pattern of evolution, according to a study published in Science on February 3. Read More
Researchers innovate drug discovery screening techniques
Researchers from around the globe gathered to discuss innovations in laboratory techniques such as phenotypic profiling and flow cytometry for drug discovery applications at the Society for Laboratory Automation and Screening 2021 virtual meeting. Read More
Machine learning improves COVID-19 drug repurposing efforts
A novel machine-learning technique leverages gene expression data to improve drug repurposing and can even predict interactions between drug candidates and targets based on incomplete data. The framework, which was described in Nature Machine Learning on February 1, was applied to drug repurposing for COVID-19 to generate potential lead compounds in line with clinical evidence. Read More
SARS-CoV-2 mutation doesn't affect viral spread, but may limit therapies
As SARS-CoV-2 spreads around the globe, mutations of the virus are inevitable. An international team of researchers sought to define the effects of a specific receptor-binding motif mutation on viral fitness, clinical outcomes, and resistance to therapeutic antibodies. The findings of the study were published on January 28 in Cell. Read More
Preclinical lung imaging offers effective evaluation of drug candidates
Drug discovery and development are arduous and costly endeavors, with nine in 10 drug candidates failing to gain approval. Preclinical imaging can help pharmaceutical companies more effectively evaluate drug candidates, in particular for respiratory diseases. Read More
Not all genome editing tools are equal: CRISPR vs. TALEN
In recent years, a number of novel genome editing tools have emerged, although not all of these tools are equal in terms of efficiency and accuracy, according to a new study published in Nature Communications on January 27. The study observed different DNA search proteins to identify the specific ways that they find target sequences in the genome. Read More
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