Results 261 to 270 of about 821,591 (309)
Chromosome number instability in Phalaris L.
Maria Teresa Schifino+2 more
openalex +2 more sources
Genomic Variation Underpins Genetic Divergence and Differing Salt Resilience in Sesbania bispinosa
Sesbania, a leguminous halophyte, thrives in saline soils. Comparative genomics reveals key genomic variations—particularly chromosomal inversions—are identified as contributors to population differentiation and salt resilience. These findings advance the understanding of genomic variation driving evolution and phenotypic differentiation and offer ...
Gai Huang+13 more
wiley +1 more source
Pollen Size and Variability as Related to Chromosome Number and Speciation in the Genus Camellia
W. L. Ackerman, Katsuhiko Kondo
openalex +2 more sources
Arsenic trioxide transformed acute promyelocytic leukemia therapy and shows promise against HIV. A new method to solubilize the mineral realgar produces different arsenic species depleting the main arsenic target, nuclear PML protein, and retaining effects on leukemic and HIV reservoir cells, while minimizing off‐target damage.
Bojana Lucic+20 more
wiley +1 more source
A change in chromosome number due to cytomixis in an interspecific hybrid of Coix L.
A. B. Sapre, D. S. Deshpande
openalex +2 more sources
A self‐propelled nanomedicine delivery system forms DMCU nanoparticles in the bladder via in situ polymerization of dopamine hydrochloride, Mn2+, cGAMP, and urease. The urease‐driven propulsion enhances retention and drug delivery. These nanoparticles activate the STING pathway, stimulating dendritic cells and T cells to boost anti‐bladder cancer ...
Lei Peng+9 more
wiley +1 more source
Loss of STARD7 Triggers Metabolic Reprogramming and Cell Cycle Arrest in Breast Cancer
Breast cancer cells undergo metabolic and transcriptomic reprogramming to support aberrant cell proliferation. Their mitochondria rely on the transfer of phosphatidylcholine from the endoplasmic reticulum to their membranes by STARD7, a candidate upregulated in breast cancer, to be functional.
Ewelina Dondajewska+18 more
wiley +1 more source
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai+8 more
wiley +1 more source