Results 51 to 60 of about 32,903 (262)
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
On the second minimizing graph in the set of complements of trees
AKCE International Journal of Graphs and Combinatorics, 2019 Let G be a graph of order n and A(G)=[ai,j]be its adjacency matrix such that ai,j=1 if viis adjacent to vjand ai,j=0 otherwise, where 1≤i,j≤n. In a certain family of graphs, a graph is called minimizing (or second minimizing) if the least eigenvalue of ...
M. Javaid
doaj +1 more source
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Minimum eigenvalue of the complement of tricyclic graphs with n-4 pendent vertexes
Journal of Hebei University of Science and Technology, 2019 In order to discuss the minimum eigenvalue of adjacency matrix in the class of complementary graphs of the tricyclic graph with a given order of n and n－4 pendent vertexes, the unique graph whose minimum eigenvalue reaches the minimum is characterized ...
Hongjuan JU, Yingjie LEI
doaj +1 more source
Hierarchical data structures for flowchart
Scientific Reports, 2023 Flowcharts have broad applications in the fields of software development, engineering design, and scientific experimentation. Current flowchart data structure is mainly based on the adjacency list, cross-linked list, and adjacency matrix of the graph ...
Peng Zhang, Wenzhang Dou, Huaping Liu
doaj +1 more source
Reducing Rank of the Adjacency Matrix by Graph Modification
Theoretical Computer Science, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Syed Mohammad Meesum +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
On Distinct Inertias of Lanzhou Matrices Versus Adjacency Matrices in Some Graph Classes
Journal of MathematicsThe Lanzhou matrix is a recently introduced graph matrix that depends on the adjacency relation and on the degrees of each vertex in the graph and its complement, thereby providing a spectral perspective on graph structure that differs from the classical
Madhumitha K. V. +3 more
doaj +1 more source
Determinantal properties of Boolean graphs using recursive approach
AKCE International Journal of Graphs and CombinatoricsThe aim of this paper is to study the determinant and inverse of the adjacency matrices of weighted and directed versions of Boolean graphs. Our approach is recursive. We describe the adjacency matrix of a weighted Boolean graph in terms of the adjacency
Gahininath Sonawane +2 more
doaj +1 more source
CEACAM1 participation in breast cancer progression
Molecular Oncology, EarlyView.In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source