Results 151 to 160 of about 553,202 (296)
Disentangling drivers behind fungal diversity gradients along altitude and latitude. [PDF]
Barbi F +21 more
europepmc +1 more source
RNA‐binding protein RBMS1: A new target for cancer diagnosis and treatment
This schematic illustrates the diverse regulatory roles of RNA‐binding motif single‐stranded interacting protein 1 (RBMS1) across multiple human cancers. In breast cancer, RBMS1 stabilizes B4GALT1 mRNA to promote PD‐L1 glycosylation, modulating tumor immune escape and immunotherapy efficacy.
Xingda Run +7 more
wiley +1 more source
Mountains are not like poles for symbiotic and saprotrophic soil fungi. [PDF]
Kennedy PG, Smith ME.
europepmc +1 more source
Doxorubicin induces cardiac and skeletal muscle atrophy by upregulating E3 ubiquitin ligases, inhibiting myogenic regulatory factors, and activating necroptosis. Cardiac atrophy can further exacerbate cardiotoxicity. 6‐Shogaol negatively regulates these processes and attenuates doxorubicin‐induced cardiac and skeletal muscle atrophy.
Xipeng Sun +5 more
wiley +1 more source
L’intégration des tests génétiques dans la prise en charge de la patientèle atteinte de sclérose latérale amyotrophique : un moment critique. [PDF]
Breiner A, Schellenberg KL, Shoesmith C.
europepmc +1 more source
Geomorphic Responses to Post‐Grazing Recovery and Stream Restoration in Semiarid Grassland Streams
ABSTRACT Semiarid grassland streams are sensitive to land use, climate, extreme discharges, and internal geomorphic thresholds that drive episodic erosion. Rooted in a process‐based philosophy and commonly applied to historically wood‐rich, beaver‐modified systems, low‐tech process‐based restoration using structures is increasingly being extended to ...
Owen Richardson, Ellen Wohl
wiley +1 more source
Predictive value of obesity-related indices for incident type 2 diabetes mellitus: a longitudinal study of the Fukushima Health Database 2015-2021. [PDF]
Ma E +7 more
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source

