Results 151 to 160 of about 265,914 (253)

CXCL10/SLC11A1 Axis Exacerbates Septic Liver Injury by Regulating Neutrophil Extracellular Traps Formation to Drive Macrophage Pro‑Inflammatory Polarization

open access: yesAdvanced Science, EarlyView.
In sepsis‐induced liver injury, marked neutrophil infiltration correlates with disease severity. Neutrophil SLC11A1 drives intracellular Fe2+ and ROS via the Fenton reaction, promoting NETs formation. Hepatocyte‐derived CXCL10 recruits neutrophils and activates the JAK/STAT1/SLC11A1 axis, enhancing NETs‐mediated inflammation.
Haiping Lin   +8 more
wiley   +1 more source

<i>optimade-maker</i>: automated generation of interoperable materials APIs from static datasets.

open access: yesDigit Discov
Eimre K   +7 more
europepmc   +1 more source

Multi‐tissue Metabolic GWAS and Drought‐Responsive Multi‐omics Reveal the Genetic Basis of the Quinoa Metabolome

open access: yesAdvanced Science, EarlyView.
A multi‐omics framework combining multitissue genome‐wide association studies, metabolomics, transcriptomics, proteomics, and functional validation uncovers the genetic basis of specialized metabolism in quinoa. The study identifies hundreds of metabolite‐associated loci, prioritizes candidate genes for saponin, betalain, and flavonoid biosynthesis ...
Julia von Steimker   +11 more
wiley   +1 more source

Modulation of Lung Adenocarcinoma by Phosphorylated FOXN3‐Mediated Transcriptional Inactivation of p53

open access: yesAdvanced Science, EarlyView.
In non‐tumorous lung tissues, FOXN3 promotes the transcriptional activation of p53 by facilitating its recruitment to target promoters, thereby suppressing lung tumorigenesis through activation of the p53 signaling pathway. Conversely, in lung adenocarcinoma tissues, hyperphosphorylated FOXN3 dissociates from the promoters of p53‐responsive genes and ...
Jinjin Yu   +16 more
wiley   +1 more source

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank. [PDF]

open access: yesFront Bioinform
Fonseca N   +11 more
europepmc   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy