Results 321 to 330 of about 5,259,649 (407)

BMP antagonist CHRDL2 enhances the cancer stem‐cell phenotype and increases chemotherapy resistance in colorectal cancer

Molecular Oncology, EarlyView.
Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley   +1 more source

Multi-omic approach to characterize the venom of the parasitic wasp Cotesia congregata (Hymenoptera: Braconidae). [PDF]

BMC Genomics
Moreau SJM, Marchal L, Boulain H, Musset K, Labas V, Tomas D, Gauthier J, Drezen JM.   +7 more
europepmc   +1 more source

Simultaneous inhibition of TRIM24 and TRIM28 sensitises prostate cancer cells to antiandrogen therapy, decreasing VEGF signalling and angiogenesis

Molecular Oncology, EarlyView.
TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach, Nilesh Chatterjee, Kellie Spahr, Gilberto Serrano de Almeida, Anabel Varela‐Carver, Taimur T. Shah, Mathias Winkler, Hashim U. Ahmed, Charlotte L. Bevan   +8 more
wiley   +1 more source

Structural Homology Fails to Predict Secretion Efficiency in <i>Pichia pastoris</i>: Divergent Responses of Architecturally Similar scFvs to Multi-Parametric Genetic Engineering. [PDF]

Int J Mol Sci
Wang N, Xiao Y, Liu X, Li Y, Yu D, Guo J, Lu P, Zhang X.   +7 more
europepmc   +1 more source

Understanding and measuring mechanical signals in the tumor stroma

FEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz, Chiara Cimmino, Maurizio Ventre, Alessandra Cambi   +3 more
wiley   +1 more source

Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction. [PDF]

MethodsX
Koparde SA, Kothari S, Adsure S, Vhatkar KN, Kimbahune VV.   +4 more
europepmc   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Synchronized Visualization and Analysis of Intracellular Trafficking and Maturation of <i>Orthoflavivirus</i> Subviral Particles. [PDF]

Bio Protoc
Ishida K, Morita E.
europepmc   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

MAFcounter: an efficient tool for counting the occurrences of k-mers in MAF files. [PDF]

BMC Bioinformatics
Patsakis M, Provatas K, Karatzikos A, Koilakos C, Mouratidis I, Georgakopoulos-Soares I.   +5 more
europepmc   +1 more source