Palaeopolyploidy, Spatial Structure and Conservation Genetics of the Narrow Steppe Plant Vella pseudocytisus subsp. paui (Vellinae, Cruciferae) [PDF]
Ernesto Pérez‐Collazos+1 more
openalex +1 more source
β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio+11 more
wiley +1 more source
Conservation Genetics and Hybridisation of the Forbes’ Parakeet (Cyanoramphus Forbesi) in the Chatham Islands [PDF]
Chi‐Hang Chan
openalex +1 more source
The Regulation of Trace Metal Elements in Cancer Ferroptosis
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang+5 more
wiley +1 more source
Conservation genetics in the USGS [PDF]
Ruth Jacobs+5 more
openaire +2 more sources
A Brief History of the New World Flying Squirrels: Phylogeny, Biogeography, and Conservation Genetics [PDF]
Brian S. Arbogast
openalex +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Editorial: Challenges and prospects for conservation genetics at XXI century. [PDF]
Amavet P, Fernández GP, Solís Neffa V.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Endangered with High Dispersal Abilities: Conservation Genetics of <i>Himantoglossum metlesicsianum</i> (Teschner) <i>P. Delforge</i> (Orchidaceae) in the Canary Islands. [PDF]
González Negrín R+3 more
europepmc +1 more source