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Agilent technologies
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Genomictree Inc
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Agilent technologies
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Arraystar inc
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Illumina Inc
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Human Protein Atlas
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Image Search Results
Journal: International Journal of Molecular Sciences
Article Title: Effects and Mechanism of Particulate Matter on Tendon Healing Based on Integrated Analysis of DNA Methylation and RNA Sequencing Data in a Rat Model
doi: 10.3390/ijms23158170
Figure Lengend Snippet: ( A ) Kyoto Encyclopedia of Genes and Genome (KEGG) pathways associated with the significantly upregulated and downregulated differentially expressed genes (DEGs) between particulate matter (PM)-exposed and control (non-PM) rats ( p < 0.05). ( B ) Canonical pathways with significant Z-scores (>2) identified using ingenuity pathway analysis. Heatmaps showing the DEGs in the ( C ) cAMP response element-binding protein (CREB) and ( D ) cAMP signaling pathways. ( E ) Schematic diagram showing the methods and criteria for gene analysis. ( F ) Venn diagram showing the combined DNA methylation and transcriptome data. The red circle indicates 67 genes exhibiting hypomethylated/upregulated expression. ( G ) The top five KEGG pathways associated with the hypomethylated/upregulated genes.
Article Snippet: A
Techniques: Control, Binding Assay, Protein-Protein interactions, DNA Methylation Assay, Expressing
Journal: Experimental Hematology & Oncology
Article Title: METTL3 modulates m6A modification of CDC25B and promotes head and neck squamous cell carcinoma malignant progression
doi: 10.1186/s40164-022-00256-3
Figure Lengend Snippet: METTL3 high expression is associated with poor prognosis of HNSCC patients. A Dot blot assay was conducted with mRNA extracted from HNSCC tissues and paired paracancerous normal tissues using an anti-m6A antibody, and MB (methylene blue) staining served as the loading control (representative images in left panel). The relative m6A contents on mRNA in HNSCC tissues and paired normal normal tissues were calculated (right panel, n = 7). B TCGA data showed that METTL3 expression was significantly upregulated in HNSCC (n = 520) than normal tissue (n = 44). C Disease-free survival (RFS) of HNSCC patients based on METTL3 expression obtained from GEPIA website ( http://gepia.cancer-pku.cn/ ). D The levels of METTL3 expression in HNSCC and paired normal tissues were measured by qRT-PCR (n = 10). E METTL3 protein levels were measured in HNSCC tissues and paired normal tissues by western blotting (n = 7). F METTL3 expression was significantly upregulated in HNSCC compared with the paired paracancerous normal tissue by IHC staining (n = 5, scale bars = 100 μm). G Kaplan–Meier OS analysis of HNSCC patients based on METTL3 expression measured by IHC of tissue microarray (n = 100). H Univariate Cox regression analysis was conducted in HNSCC patients (n = 100). All bars correspond to 95% confidence intervals. I Multivariate Cox regression analysis was conducted in HNSCC patients (n = 100). J The time-dependent receiver operating characteristic (ROC) analysis for the clinical risk score (TNM stage), the METTL3 risk score, and the combined METTL3 and clinical risk scores in HNSCC cohort
Article Snippet: After hybridizing these cRNAs onto a Arraystar
Techniques: Expressing, Dot Blot, Staining, Quantitative RT-PCR, Western Blot, Immunohistochemistry, Microarray
Journal: Experimental Hematology & Oncology
Article Title: METTL3 modulates m6A modification of CDC25B and promotes head and neck squamous cell carcinoma malignant progression
doi: 10.1186/s40164-022-00256-3
Figure Lengend Snippet: METTL3 mediates the m6A modification on CDC25B mRNA in HNSCC. A m6A-mRNA epitranscriptomic microarray showed signal pathways in which most differentially expressed gene enriched in METTL3 knockdown cells (SAS), DE represents differentially expressed. B m6A-mRNA epitranscriptomic microarray showed signal pathways in which most differentially methylated genes enriched in METTL3 knockdown cells (SAS), DM represents differentially methylated. C m6A-mRNA epitranscriptomic microarray showed an overlap of the total differentially expressed gene, total differentially methylated gene, and differentially expressed and methylated gene enriched in the cell cycle pathway. D Genes selected from the overlap were used for qRT-PCR in METTL3 knockdown and their corresponding control cells, and CDC25B was the most significantly downregulated gene upon knockdown of METTL3. E , F CDC25B mRNA expression was confirmed by qRT-PCR in METTL3 knockdown (FaDu) and METTL3 overexpression (Hep2) cells. G CDC25B protein level was measured by western blot assay in METTL3 knockdown SAS cells. H CDC25B protein level was measured by western blot assay in METTL3 knockdown FaDu cells. I CDC25B protein level was measured by western blot assay in METTL3 overexpressed Hep2 cells. J MeRIP-qPCR was conducted to detect the m6A level of CDC25B mRNA in METTL3 knockdown (SAS) cells. K MeRIP-qPCR was conducted to detect the m6A level of CDC25B mRNA in METTL3 knockdown (FaDu) cells. L , M The levels of CDC25B expression in METTL3 knockdown and their corresponding control cells treated with actinomycin D (5 μg/mL) at the indicated time points were detected by qRT-PCR. The data are the means ± SD of three independent experiments. */# p < 0.05; **/## p < 0.01; ***/### p < 0.001; ****/#### p < 0.0001
Article Snippet: After hybridizing these cRNAs onto a Arraystar
Techniques: Modification, Microarray, Methylation, Quantitative RT-PCR, Expressing, Over Expression, Western Blot
Journal: Cancers
Article Title: The Obscure Potential of AHNAK2
doi: 10.3390/cancers14030528
Figure Lengend Snippet: A collection of all oncological studies of AHNAK2 with associated findings. (GC: gastric cancer; BC: bladder cancer; LUAD: lung adenocarcinoma; PTC: papillary thyroid cancer; TC: thyroid carcinoma; CPTAC: clinical proteomic tumour analysis consortium; and GTex: genotype-tissue expression).
Article Snippet: Analysis of five Oncomine databases found increased AHNAK2 mRNA expression in lung cancer compared to normal tissue, and
Techniques: Expressing, Microarray, In Silico, Immunohistochemistry, Knockdown, Migration, Inhibition, DNA Methylation Assay, Methylation, Fourier Transform Infrared Spectroscopy, Chromatography, Mass Spectrometry, Biomarker Discovery, Staining, In Vitro