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RNA editing events influence gene expression and phenotypic manifestation Combining computational mining of big data with experimental testing in the lab, researchers at Children's Hospital of Philadelphia (CHOP) have identified RNA editing events that influence gene expression and, in turn, the phenotypic manifestation of that expression. In analyzing so-called A-to-I RNA editing, in which the adenosine of an RNA molecule is chemically modified into an inosine, the researchers describe how a single nucleotide change by RNA editing can have large downstream effects. The findings were publishe...

Working under a Health Canada research license, the Aging-US authors developed over 800 new C. sativa cultivars and hypothesized that high-CBD C. sativa extracts may be used to down-regulate ACE2 expression in target COVID-19 tissues. Using artificial 3D human models of oral, airway and intestinal tissues, they identified 13 high-CBD C. sativa extracts that decrease ACE2 protein levels. Some C. sativa extracts down-regulate serine protease TMPRSS2, another critical protein required for SARS-CoV-2 entry into host cells. While their most effective extracts require further large-scale valid...

New research by a team of scientists at University Hospital RWTH Aachen in Germany and Erasmus Medical Centre in The Netherlands characterized changes in CD8+ T cells in response to SARS-CoV-2.

Using decision theory for precise choice of breast cancer treatment The precise choice of treatment for breast cancer depends upon the status of the hormone receptors (for estrogen and progesterone). Their conventional determination by means of immunohistochemistry (IHC) is associated with a certain error rate, which can be reduced by adding genomic data. Even conventional statistics can bring about a notable improvement but now it is possible to use decision theory to optimally combine diagnostic findings, particularly where they are contradictory. This is the finding of a recent study condu...

Quantifying Isolated Nuclei from Mouse Brain Using the CellDrop™ FL Automated Cell Counter Isolating nuclei is an essential step in both single nuclear RNA-sequencing and ATAC-sequencing workflows. It is important to ensure that samples obtained during library preparation are non-clustered and debris-free, but nuclei isolated from tissue samples in areas like the brain are prone to high debris in comparison with samples obtained from cultured cells. It is also important that nuclei are accurately counted for single cell analysis, even in instances where debris does not impact upon library p...