Results 101 to 110 of about 4,376,990 (279)
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
On the strong metric generators of strong product graphs
, 2013 12 ...
Kuziak, Dorota +2 more
openaire +2 more sources
FEBS Letters, EarlyView.This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source
FEBS Letters, EarlyView.Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source
A Sharp Lower Bound For The Generalized 3-Edge-Connectivity Of Strong Product Graphs
Discussiones Mathematicae Graph Theory, 2017 The generalized k-connectivity κk(G) of a graph G, mentioned by Hager in 1985, is a natural generalization of the path-version of the classical connectivity. As a natural counterpart of this concept, Li et al.
Sun Yuefang
doaj +1 more source
Strong products ofϰ-critical graphs [PDF]
Aequationes Mathematicae, 1993 LetG[H] be the lexicographic product and letG ⊠H be the strong product of the graphsG andH. It is proved that, ifG is aϰ-critical graph, then, for any graphH, $$\chi (G[H]) \leqslant \chi (H)(\chi (G) - 1) + \left[ {\frac{{\chi (H)}}{{\alpha (G)}}} \right ...
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Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Strong products of Kneser graphs
Discrete Mathematics, 1994 For a (simple, undirected) graph \(G = (V(G), E(G))\), let \(\chi(G)\) and \(\omega(G)\) denote the chromatic number and the clique number, respectively. A subgraph \(H\) of \(G\) is a retract of \(G\) iff there is an edge-preserving map \(h : V(G) \to V(H)\) with \(h(x) = x\) for all \(x \in V(H)\).
Klavžar, Sandi, Milutinović, Uroš
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Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source