5759 papers
The paper introduces SCMG, a graph-learning framework that integrates multi-omics data with stage-resolved single-cell epithelial profiles to outperform existing methods in prioritizing cancer driver genes and linking candidate rankings to patient outcomes.
Combining CSF1R inhibition with cranial radiotherapy leads to the sustained replacement of homeostatic microglia by monocyte-derived cells and accelerated astrocytic reactivity, without mitigating radiation-induced loss of neurogenesis or oligodendrocytes.
This study reveals that chronic hyperglycemia drives adipose tissue fibrosis and metabolic dysfunction by promoting the O-GlcNAcylation of APPBP2, which triggers the ubiquitination and proteasomal degradation of the transcriptional regulator PRDM16, a mechanism that can be therapeutically targeted via the APPBP2S561N variant to preserve PRDM16 stability and improve metabolic health independently of thermogenesis.
Reanalyzing rice nested association mapping data demonstrates that phenotyping a small portion (5–15%) of a target family and incorporating those records into genomic prediction models significantly improves within-family predictive ability and selected-line yield compared to relying solely on other families or model flexibility alone.
This study demonstrates that the age-related decline in cortical bone fracture toughness is driven by the combined effects of local tissue deterioration in glycosaminoglycan content and the increasing accumulation of older, degraded tissue within the bone matrix as donor age advances.
The Panviral integrated indexed Primer (PiiP) assay enables rapid, same-day viral genomic surveillance in resource-limited field settings by combining broadly reactive primers with portable Oxford Nanopore sequencing and offline analysis, as demonstrated by its successful deployment in a Cambodian live bird market.
This large-scale study utilizes Mendelian randomization to systematically map 1,943 potential causal associations between 630 gut microbial traits and 925 diseases, revealing disease-specific microbial clustering and identifying the Burkholderiales-IDL-TG axis as a key metabolic pathway linking gut microbiota to ischemic cardiovascular disease.
This study demonstrates that the size-only treatment hold threshold derived from non-spatial ODE models fails to prevent premature progression in spatial agent-based models, and while incorporating measurement history and tumor geometry offers marginal improvements in drug-free time, these gains are inconsistent and fail to reliably meet safety tolerances across all testing intervals.
This study demonstrates that while three competently configured 3D deep learning pipelines achieve similarly high accuracy in segmenting infant brains with negligible differences driven by retraining or cross-validation, a simple consensus approach effectively eliminates rare segmentation failures, highlighting the critical need to report variability and failure rates rather than relying solely on mean Dice scores.
By distinguishing between the reporting of any experience and the recall of specific content, this study reveals that the lower frequency of contentful dream reports after NREM awakening compared to REM is primarily driven by fewer reports of any experience rather than a failure to recall content within those reports.