Results 101 to 110 of about 457,473 (310)
RKIP, a metastasis suppressor protein, modulates key oncogenic pathways in lung adenocarcinoma. In silico analyses linked low RKIP expression to poor survival. Functional studies revealed RKIP overexpression reduces tumor aggressiveness and enhances sensitivity to EGFR‐targeted therapies, while its loss promotes resistance.
Ana Raquel‐Cunha +10 more
wiley +1 more source
Network selection: a method for ranked lists selection. [PDF]
We consider the problem of finding the set of rankings that best represents a given group of orderings on the same collection of elements (preference lists). This problem arises from social choice and voting theory, in which each voter gives a preference
Luisa Cutillo +2 more
doaj +1 more source
Rank of divisors on graphs: an algebro-geometric analysis [PDF]
The divisor theory for graphs is compared to the theory of linear series on curves through the correspondence associating a curve to its dual graph.
Caporaso, Lucia
core
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Higher-rank graphs and the graded $K$-theory of Kumjian-Pask Algebras
This paper lays out the foundations of graded $K$-theory for Leavitt algebras associated with higher-rank graphs, also known as Kumjian-Pask algebras, establishing it as a potential tool for their classification. For a row-finite $k$-graph $Λ$ without sources, we show that there exists a $\mathbb{Z}[\mathbb{Z}^k]$-module isomorphism between the graded
Hazrat, Roozbeh +3 more
openaire +2 more sources
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
An arbitrary segmentation method for loss allocation in power grids with distributed generation
The issue of network loss allocation is crucial for the economic operation of power grids, as fair distribution ensures that participants allocate the cost of losses in proportion to their actual contributions.
Wenqiang Tao +3 more
doaj +1 more source
Constructing and Classifying Fully Irreducible Outer Automorphisms of Free Groups
The main theorem of this document emulates, in the context of Out(F_r) theory, a mapping class group theorem (by H. Masur and J. Smillie) that determines precisely which index lists arise from pseudo-Anosov mapping classes.
Pfaff, Catherine
core +1 more source
Emerging role of ARHGAP29 in melanoma cell phenotype switching
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster +3 more
wiley +1 more source
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser +14 more
wiley +1 more source

