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Application of artificial intelligence in basic research on tumor drug resistance
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Neurosolutions feed forward artificial neural network (ann) neurosolutions 6
<t>ANN</t> analysis identifies target genes <t>of</t> <t>Wnt</t> signaling during AT2-to-AT1 TD. a Genes identified by ANN analysis depicting the strength of influence. b Gene expression of target genes measured by Affymetrix array. c Gene expression levels of Wnt pathway target genes measured in 3D lung re-aggregate cultures after Wnt ligand treatment ( n = 3). Independent t-test, * p < 0.05. d 3D lung aggregate tissues were treated with Wnt4, Wnt5a and Wnt7a ligands then sectioned and stained with anti-ITGAV antibody (pseudo-green), while nuclei were stained DAPI (blue). Size bar is 50 μm. Representative of three independent biological repeats ( n = 3). e Densitometry of ITGAV staining ( n = 3). Independent t-test, * p < 0.05. f Densitometry of ITGAV staining ( n = 3) of the core and the outer layer of the Wnt5a treated 3D lung tissue aggregate cultures ( n = 3). Mann-Whitney test * p < 0.05, ** p < 0.01, *** p < 0.001
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Application of artificial intelligence in basic research on tumor drug resistance

Journal: Molecular Cancer

Article Title: Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges

doi: 10.1186/s12943-025-02321-x

Figure Lengend Snippet: Application of artificial intelligence in basic research on tumor drug resistance

Article Snippet: RNA-seq data from DepMap and TCGA datasets , TransCell (Self-Encoders + Migration Learning + Deep Feedforward Neural Networks) , External validation on proteomic data in CellMinerCDB and RNA-seq data in NCI60 cell line , TransCell improved drug susceptibility prediction performance by more than 50% , [ ] .

Techniques: Biomarker Discovery, Binding Assay, Fluorescence, Kinase Assay, Immunohistochemistry, Quantitative RT-PCR, Staining, Knockdown, CRISPR, Mutagenesis, Knock-Out, Activation Assay, Expressing, Reverse Transcription Polymerase Chain Reaction, Migration, Gene Expression, Plasmid Preparation, Injection, Selection, Histone Deacetylase Assay, Imaging, Cytometry

Available databases on tumor drug resistance

Journal: Molecular Cancer

Article Title: Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges

doi: 10.1186/s12943-025-02321-x

Figure Lengend Snippet: Available databases on tumor drug resistance

Article Snippet: RNA-seq data from DepMap and TCGA datasets , TransCell (Self-Encoders + Migration Learning + Deep Feedforward Neural Networks) , External validation on proteomic data in CellMinerCDB and RNA-seq data in NCI60 cell line , TransCell improved drug susceptibility prediction performance by more than 50% , [ ] .

Techniques: Expressing, Mutagenesis, Drug discovery, Biomarker Discovery

ANN analysis identifies target genes of Wnt signaling during AT2-to-AT1 TD. a Genes identified by ANN analysis depicting the strength of influence. b Gene expression of target genes measured by Affymetrix array. c Gene expression levels of Wnt pathway target genes measured in 3D lung re-aggregate cultures after Wnt ligand treatment ( n = 3). Independent t-test, * p < 0.05. d 3D lung aggregate tissues were treated with Wnt4, Wnt5a and Wnt7a ligands then sectioned and stained with anti-ITGAV antibody (pseudo-green), while nuclei were stained DAPI (blue). Size bar is 50 μm. Representative of three independent biological repeats ( n = 3). e Densitometry of ITGAV staining ( n = 3). Independent t-test, * p < 0.05. f Densitometry of ITGAV staining ( n = 3) of the core and the outer layer of the Wnt5a treated 3D lung tissue aggregate cultures ( n = 3). Mann-Whitney test * p < 0.05, ** p < 0.01, *** p < 0.001

Journal: Respiratory Research

Article Title: Wnt signaling regulates trans-differentiation of stem cell like type 2 alveolar epithelial cells to type 1 epithelial cells

doi: 10.1186/s12931-019-1176-x

Figure Lengend Snippet: ANN analysis identifies target genes of Wnt signaling during AT2-to-AT1 TD. a Genes identified by ANN analysis depicting the strength of influence. b Gene expression of target genes measured by Affymetrix array. c Gene expression levels of Wnt pathway target genes measured in 3D lung re-aggregate cultures after Wnt ligand treatment ( n = 3). Independent t-test, * p < 0.05. d 3D lung aggregate tissues were treated with Wnt4, Wnt5a and Wnt7a ligands then sectioned and stained with anti-ITGAV antibody (pseudo-green), while nuclei were stained DAPI (blue). Size bar is 50 μm. Representative of three independent biological repeats ( n = 3). e Densitometry of ITGAV staining ( n = 3). Independent t-test, * p < 0.05. f Densitometry of ITGAV staining ( n = 3) of the core and the outer layer of the Wnt5a treated 3D lung tissue aggregate cultures ( n = 3). Mann-Whitney test * p < 0.05, ** p < 0.01, *** p < 0.001

Article Snippet: Evaluation of Wnt signaling pathway on AT2-to-AT1 TD was carried out using a feed forward artificial neural network (ANN) (Neurosolutions 6, NeuroDimension Inc.) software.

Techniques: Gene Expression, Staining, MANN-WHITNEY