Gene expression analysis reveals a novel, integrated molecular mechanism for much of the pathogenesis of COVID-19 that provides therapeutic intervention points that can be addressed with existing approved pharmaceuticals.
Applying deep learning technology for the large-scale curation of symptoms from unstructured EHR clinical notes accurately predicts the differential signals of COVID-19 diagnosis over the week preceding typical PCR testing.
One α-synuclein strain inhibited proteasome activity and induced apparent pathologies, while the other did not, indicating a strain-dependent toxicity of α-synuclein aggregates, which support a prion-like behavior of α-synuclein.
Isotope tracing into macromolecules enables functional analysis of metabolism in specific cell populations in tumors and provides insight into metabolic differences between cancer and stromal cells in their endogenous microenvironment.
An unbiased model for the self-organisation of the Golgi apparatus displays either anterograde vesicular transport or cisternal maturation depending on ratios of budding, fusion and biochemical conversion rates.