Results 111 to 120 of about 1,021,862 (272)
Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan +8 more
wiley +1 more source
fairadapt: Causal Reasoning for Fair Data Preprocessing
Machine learning algorithms are useful for various prediction tasks, but they can also learn how to discriminate, based on gender, race or other sensitive attributes.
Drago Plečko +2 more
doaj +1 more source
Vascular normalization confers an endothelial immune suppressive gene expression profile
We compare the immunoregulatory gene expression profiles of healthy endothelial cells or endothelial cells from tumors having a normalized endothelium (low leakage) with that of wild‐type tumors (high leakage) and observe that the wild‐type tumor endothelium exhibits immunostimulatory properties.
Liqun He, Michael Welsh
wiley +1 more source
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis +20 more
wiley +1 more source
A mechanistic explanation is central to scientific inquiry; however, learners often struggle to link macroscopic observations with submicroscopic interactions.
Mehmet Polat
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
A variety of questions in causal inference can be represented as probability distributions over hypothetical worlds where idealized randomized experiments known as interventions have taken place.
Tian, Jin, Shpitser, Ilya
core +1 more source
On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery
Large Language Models (LLMs) can reason about causality by leveraging vast pre-trained knowledge and text descriptions of datasets, demonstrating their effectiveness even when data is scarce.
Chanhui Lee +12 more
doaj +1 more source

