Results 51 to 60 of about 118,614 (242)
Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities
ABSTRACT Glioblastoma, the most aggressive and lethal form of brain cancer, is defined by profound genomic instability, with Chromosomal Instability (CIN) playing a central role in driving tumor progression, therapy resistance, and poor prognosis. CIN is characterized by numerical and structural alterations, is driven by mechanisms such as mitotic ...
Amarnath Pal +3 more
wiley +1 more source
Ecological Adaptation Mechanisms Underlying Successful Plant Reproduction
During floral induction, various environmental and endogenous signals converge to regulate the florigen protein, which is transported from leaves to the SAM to initiate flowering. Within the SAM, a complex network of receptor kinases and small peptides orchestrates floral development with high spatiotemporal precision.
Hang Zhao +8 more
wiley +1 more source
The archaeo-eukaryotic GINS proteins and the archaeal primase catalytic subunit PriS share a common domain [PDF]
This work was funded by the Scottish Universities Life Sciences Alliance (SULSA).Primase and GINS are essential factors for chromosomal DNA replication in eukaryotic and archaeal cells.
Agnieszka Swiatek +5 more
core +1 more source
ABSTRACT Viruses often hijack host developmental programs to promote infection, but the mechanistic links between reproductive regulation and antiviral immunity remain incompletely understood. Here, we identify a virus‐triggered hierarchical degradation cascade that links antiviral immunity and fertility regulation in rice. We show that the rice grassy
Yuansheng Wu +13 more
wiley +1 more source
Improving grain yield potential in rice is an important step toward addressing global food security challenges. The meta-QTL analysis offers stable and robust QTLs irrespective of the genetic background of mapping populations and phenotype environment ...
Kelvin Dodzi Aloryi +5 more
doaj +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
The MADS-box genes expressed in the inflorescence of Orchis italica (Orchidaceae).
The Orchidaceae family, which is one of the most species-rich flowering plant families, includes species with highly diversified and specialized flower shapes.
Maria Carmen Valoroso +2 more
doaj +1 more source
Selaginella genome analysis – entering the ‘homoplasy heaven’ of the MADS world
In flowering plants, arguably the most significant transcription factors regulating development are MADS-domain proteins, encoded by Type I and Type II MADS-box genes. Type II genes are divided into the MIKCC and MIKC* groups. In angiosperms, these types
Lydia eGramzow +6 more
doaj +1 more source
AGAMOUS controls GIANT KILLER, a multifunctional chromatin modifier in reproductive organ patterning and differentiation. [PDF]
The Arabidopsis homeotic protein AGAMOUS (AG), a MADS domain transcription factor, specifies reproductive organ identity during flower development. Using a binding assay and expression analysis, we identified a direct target of AG, GIANT KILLER (GIK ...
Kian-Hong Ng, Hao Yu, Toshiro Ito
doaj +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source

