Results 201 to 210 of about 4,331,631 (311)

Intracapsular Extraction [PDF]

British Journal of Ophthalmology, 1931
openaire   +2 more sources

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

Improving Peach Fruit Yield and Quality Using Foliar Application of Nano Chelated Zinc and Seaweed Extract (<i>Spirulina platensis</i>): A Multivariate Analysis Approach. [PDF]

Food Sci Nutr
Dawood AI, Waheeb SA, Majeed LSA, Meftahizadeh H.   +3 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

Safety and efficacy of a feed additive consisting of an extract from the dried leaves of <i>Hedera helix</i> L. (common ivy extract) and thymol for all animal species and categories except poultry, ornamental birds and all aquatic animal species (FEFANA asbl). [PDF]

EFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa RE, Azimonti G, Bonos E, Christensen H, Durjava M, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Theodoridou K, Bastos ML, Benfenati E, Brantom P, Chesson A, Schlatter J, Westendorf J, Manini P, Dusemund B.   +22 more
europepmc   +1 more source

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

FEBS 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, Manon Van den Abbeel, Christoph Schifflers, Karim Bouhjar, Andrea Scarmelotto, Alexis Khelfi, Anne‐Catherine Wera, Carine Michiels   +7 more
wiley   +1 more source

Xanthine Oxidase Inhibitory Potential of <i>Achillea santolina</i> Methanolic Extract with ROS Modulation in HepG2 Cells. [PDF]

Int J Mol Sci
Althaher AR, Awadallah MW, Qattoum MN.
europepmc   +1 more source

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

FEBS 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, Satoru Sugimoto, Chiharu Cho, Madoka Konishi, Nozomi Inoue, Satoshi Miyagaki, Yasuhiro Kawabe, Takuro Okamura, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Masakazu Shinohara, Tomoko Iehara   +12 more
wiley   +1 more source

Comparative <i>in vitro</i> antibacterial activity of herbal extracts from <i>Piper betle</i> L., <i>Bauhinia scandens</i> L. and <i>Chromolaena odorata</i> against <i>Staphylococcus aureus</i>, <i>Escherichia coli</i> and <i>Pseudomonas aeruginosa</i>. [PDF]

PeerJ
Kong S, Wongsanit J, Krajanglikit P, Pinniam N, Jara P, Jala S, Thongyuan S, Tulayakul P.   +7 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