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An in vivo cellular reprogramming strategy to generate epithelial cells from wound mesenchymal cells promotes healing and provides a new avenue for the treatment of nonhealing wounds.
To address a critical roadblock that can occur in translational and clinical research, the National Cancer Institute and the Food and Drug Administration, in coordination with the DREAM Challenges, are launching the first computational challenge using multi-omics datasets to detect and correct specimen mislabeling.
Enhancer profiling of breast tumors reveals that chromatin regulatory elements contribute to the clonal fitness landscape, treatment resistance and phenotypic divergence.
Machine learning can be used for computer-aided diagnosis of acute neurological events and retinal disease and can be incorporated into conventional clinical workflows to improve health outcomes.
Impaired de novo NAD+ biosynthesis predisposes to acute kidney injury, and augmenting NAD+ metabolism with oral nicotinamide supplementation may prevent acute kidney injury.
Distinct routes of immunization elicit different antibody isotypes and functions associated with protection against SIV infection that converge on phagocytosis as a candidate protective mechanism of independent SIV vaccines.
The antidiabetic action of metformin raises heptocyte intracellular AMP levels, causing allosteric inhibition of fructose-1,6-bisphosphatase and thus reductions in gluconeogenesis.
Stool microbiota composition correlates with the ethnic backgrounds of people living in the same city, suggesting that geographical location and ethnicity have distinct effects on microbiota.
In-depth methylation analysis of formalin-fixed paraffin-embedded glioblastoma samples demonstrates heterogeneity between primary and recurring tumors and enables prediction of composition of the tumor microenvironment and insights into progression.
iPSC-derived motor neurons from over 30 heterogeneous sporadic ALS cases exhibit pathologies correlated with clinical disease progression, are more similar to FUS/TDP-43 familial ALS than SOD1-ALS and are corrected by repurposing of ropinirole.
An algorithm-selected gene signature focused on tumor immune evasion and suppression predicts response to immune checkpoint blockade in melanoma, exceeding the accuracy of current clinical biomarkers.
CRISPR–Cas9-mediated gene editing of TSC1 and TSC2 in human pluripotent stem cells is used to investigate the contribution of tuberous sclerosis complex–mechanistic target of rapamycin complex 1 signaling to human neural development in two-dimensional monolayer and three-dimensional spheroid models of the neurodevelopmental disorder tuberous sclerosis complex.
A gene signature identified in spontaneously regressing neuroblastoma identifies responders to immune checkpoint blockade among patients with melanoma with accuracy superior to previously reported biomarkers.