Results 61 to 70 of about 137,715 (267)

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular 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

Amino acid adjacency matrix.

open access: yes, 2016
The 20×20 amino acid adjacency matrix of the given βTM protein segment is shown. The matrix elements representing the frequency of the corresponding amino acid pairs in the segment are highlighted.
Marjana Novič (158377)   +1 more
core   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

open access: yesFEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point   +7 more
wiley   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

open access: yesFEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero   +5 more
wiley   +1 more source

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

open access: yesFEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim   +4 more
wiley   +1 more source

Investigation of continuous-time quantum walk via spectral distribution associated with adjacency matrix [PDF]

open access: yes, 2005
Using the spectral distribution associated with the adjacency matrix of graphs, we introduce a new method of calculation of amplitudes of continuous-time quantum walk on some rather important graphs, such as line, cycle graph C n , complete graph K n ...
M. Jafarizadeh, S. Salimi
semanticscholar   +1 more source

The motif adjacency Matrix.

open access: yes, 2013
In this article, motifs are denoted by a motif specification which can be deduced from its adjacency matrix as indicated by the red arrow.
Pieter Audenaert (404604)   +5 more
core   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

open access: yesFEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Maxima of the Aα-Index of Non-Bipartite C3-Free Graphs for 1/2 < α < 1

open access: yesMathematics
In 2017, Nikiforov defined the Aα-matrix of the graph G as Aα(G)=αD(G)+(1−α)A(G),0≤α≤1, which merges the diagonal degree matrix D(G) and the adjacency matrix A(G). In this paper, we characterize the graphs which attain the maximum Aα-index among triangle-
Haixia Zhang, Yu Lei
doaj   +1 more source

Adjacency matrix FD analysis.

open access: yes, 2020
A: Visualization of the fractal dimension of functional connectivity networks as determined by FracLac analysis of the isomorphic two-dimensional adjacency matrix.
Paola Finoia (645563)   +8 more
core   +1 more source

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