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CEM Corporation human exon microarray analysis
Human Exon Microarray Analysis, supplied by CEM Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/expression+microarray+analysis/gene+expression+microarray+analysis/pmc08877913-312-21-20
Average 90 stars, based on 1 article reviews
human exon microarray analysis - by Bioz Stars, 2026-10
90/100 stars

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Microarray:

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. The microarray data obtained in the present study are available in the following database. (1) Human exon microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193574) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193574 ; (2) Human gene expression microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193576) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193576 . ..

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEMControl), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Data Availability Statement: The microarray data obtained in the present study are available in the following database. (1) Human exon microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193574) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193574; (2) Human gene expression microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193576) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193576. ..

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEM-Control), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Article Title: Vesicular Stomatitis Virus Transcription Is Inhibited by TRIM69 in the Interferon-Induced Antiviral State
Article Snippet: .. The 400 most-IFN- -inducible ISGs were chosen using a compilation of microarray data from 293T, HT1080, CEM, Jurkat, MT2, MT4, C8166, Hut R5, H9, Sup T1, U937, THP-1, K562, HL60, and KG1a cells (Table 1). ..

Gene Expression:

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. The microarray data obtained in the present study are available in the following database. (1) Human exon microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193574) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193574 ; (2) Human gene expression microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193576) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193576 . ..

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEMControl), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Data Availability Statement: The microarray data obtained in the present study are available in the following database. (1) Human exon microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193574) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193574; (2) Human gene expression microarray analysis in CEM cells overexpressing HTLV-1 Rex GEO (GSE193576) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193576. ..

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEM-Control), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Article Title: Single-cell analysis identifies conserved features of immune dysfunction in simulated microgravity and spaceflight
Article Snippet: The fluorescence was measured with a Pherastar FSx (BMG Labtech Inc., Cary, NC) microplate reader with the excitation wavelength at 495 nm, and emission at 530 nm. .. Gene expression data from the NASA Twins study was provided by Cem Meydan in the Mason Lab in csv format and organized by Dr. Afshin Beheshti as normalized mean counts for four immune cell types. .. Samples were sent to the Stanford Human Immune Monitoring Center and MILLIPLEX 48 Plex Premixed Magnetic Bead Panel (MilliporeSigma, Burlington, MA) was performed per the manufacturers’ instructions.

other:

Article Title: Cancer cell metabolic plasticity allows resistance to NAMPT inhibition but invariably induces dependence on LDHA.
Article Snippet: List of gene expression from genome wide analysis in CCRF-CEM cells. (XLSX 44303 kb) Additional file 4: Figure S2.

Expressing:

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEMControl), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEM-Control), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Functional Assay:

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEMControl), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.

Article Title: Exploring New Functional Aspects of HTLV-1 RNA-Binding Protein Rex: How Does Rex Control Viral Replication?
Article Snippet: .. Briefly, the whole dataset of gene expression microarray analysis, i.e., data of all probes with expression levels (CEM-Rex against CEM-Control), were input to “Protein with Value/Ranks” application of STRING (v11.5) to perform the Functional Enrichment Analysis (FEA, hereafter). .. The results were returned as lists of terms in various databases such as Gene Ontology, KEGG, Pathways, Reactome, COMPARTMENTS, UniProt, Pfam, and InterPro, which are significantly enriched with our gene expression data.



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NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by <t>microarray</t> analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.
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Image Search Results


NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by microarray analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.

Journal: Journal of Experimental Botany

Article Title: NAC61 regulates late- and post-ripening osmotic, oxidative, and biotic stress responses in grapevine

doi: 10.1093/jxb/erad507

Figure Lengend Snippet: NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by microarray analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.

Article Snippet: The cDNA synthesis, labelling, hybridization, and washing steps were performed according to the Agilent Microarray-Based Gene Expression Analysis Guide ( https://www.agilent.com/cs/library/usermanuals/Public/G4140-90040_GeneExpression_OneColor_6.9.pdf ).

Techniques: Expressing, Microarray