Results 171 to 180 of about 1,189,521 (278)

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

FEBS 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, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

Unpaired image to image translation for source free domain adaptation in semantic segmentation. [PDF]

Sci Rep
An J, He Z, Guo J, Wang J, Lin Z, Liang H, Tan J, Su W.   +7 more
europepmc   +1 more source

Bright-field to fluorescence microscopy image translation for cell nuclei health quantification. [PDF]

Biol Imaging, 2023
Wang R, Butt D, Cross S, Verkade P, Achim A.   +4 more
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Similarity and quality metrics for MR image-to-image translation. [PDF]

Sci Rep
Dohmen M, Klemens MA, Baltruschat IM, Truong T, Lenga M.   +4 more
europepmc   +1 more source

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

FEBS 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, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

2.5D Multi-View Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-Count PET Reconstruction With CT-Less Attenuation Correction. [PDF]

IEEE Trans Med Imaging
Chen T, Hou J, Zhou Y, Xie H, Chen X, Liu Q, Guo X, Xia M, Duncan JS, Liu C, Zhou B.   +10 more
europepmc   +1 more source

Progressively Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. [PDF]

Sensors (Basel), 2023
Lee HY, Li YH, Lee TH, Aslam MS.
europepmc   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model. [PDF]

Mach Learn Sci Technol
Li Y, Shao HC, Qian X, Zhang Y.
europepmc   +1 more source