Results 171 to 180 of about 5,192,011 (281)

Responsibility modelling for risk analysis [PDF]

open access: yes, 2009
Lock, R., Sommerville, I., Storer, T.
core   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

open access: yesFEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde   +3 more
wiley   +1 more source

Research methods in humanitarian logistics [PDF]

open access: yesJournal of Humanitarian Logistics and Supply Chain Management, 2019
Gyongyi Kovacs   +3 more
doaj   +1 more source

PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines

open access: yesFEBS Open Bio, EarlyView.
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart   +7 more
wiley   +1 more source

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

open access: yesFEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda   +12 more
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

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