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dna microarray laser scanner (dna microarray scanner ba  (Agilent technologies)


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    Agilent technologies dna microarray laser scanner (dna microarray scanner ba
    <t>Microarray</t> analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool
    Dna Microarray Laser Scanner (Dna Microarray Scanner Ba, supplied by Agilent technologies, 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/result/dna microarray laser scanner (dna microarray scanner ba/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    dna microarray laser scanner (dna microarray scanner ba - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "Regulation of KLRC and Ceacam gene expression by miR-141 supports cell proliferation and metastasis in cervical cancer cells"

    Article Title: Regulation of KLRC and Ceacam gene expression by miR-141 supports cell proliferation and metastasis in cervical cancer cells

    Journal: BMC Cancer

    doi: 10.1186/s12885-024-12794-6

    Microarray analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool
    Figure Legend Snippet: Microarray analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool

    Techniques Used: Microarray, Transfection, Plasmid Preparation, Expressing, Over Expression, Control, Binding Assay, In Silico

    The prediction information between miR-141 and targeted genes identified by microarray analysis using in-silico miRWalk tool
    Figure Legend Snippet: The prediction information between miR-141 and targeted genes identified by microarray analysis using in-silico miRWalk tool

    Techniques Used: Microarray, Binding Assay



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    <t>Microarray</t> analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool
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    <t>Microarray</t> analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool
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    Flow chart of <t>microarray</t> data analysis. The agilent single color microarray platform was used having more than 58,000 transcripts and further data processing was done using agilent GeneSpring software followed by pathway analysis using GSEA database. Numbers in parentheses illustrates number of pathways enriched in each category using GSEA database. DEGs-Differentially expressed genes, ANOVA-Analysis of variance, BP-Biological pathway, CC-Cellular component, MF-Molecular function.
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    Microarray analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool

    Journal: BMC Cancer

    Article Title: Regulation of KLRC and Ceacam gene expression by miR-141 supports cell proliferation and metastasis in cervical cancer cells

    doi: 10.1186/s12885-024-12794-6

    Figure Lengend Snippet: Microarray analysis of transfected HeLa cells with miR-141 overexpressing vector. A Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using a miRNA library from Exiqon. B Microarray analysis of gene expression in HeLa cells transfected with miR-141 overexpression vs. cells transfected with the control vector using oligonucleotides from Ambion. The blue color indicates the sustained gene expression, the red indicates the upregulated genes, and the green indicates the downregulated genes. C The expression of the most relevant genes to cervical cancer indicates the upregulated genes in red columns and downregulated genes in green. Error bars indicate the STD between Exiqon and Ambion data. D The potential binding sites of miR-141 within the 3 − UTR of KLRC1 and coding sequences of KLRC3, CAM3, and that carried out in-silico by miRWalk online tool

    Article Snippet: The microarray experiments were scanned using a DNA microarray laser scanner (DNA Microarray Scanner BA, Agilent Technologies) at 5 µm resolution using Ambion ship and Exiqon ship according to the manufacturer’s instructions.

    Techniques: Microarray, Transfection, Plasmid Preparation, Expressing, Over Expression, Control, Binding Assay, In Silico

    The prediction information between miR-141 and targeted genes identified by microarray analysis using in-silico miRWalk tool

    Journal: BMC Cancer

    Article Title: Regulation of KLRC and Ceacam gene expression by miR-141 supports cell proliferation and metastasis in cervical cancer cells

    doi: 10.1186/s12885-024-12794-6

    Figure Lengend Snippet: The prediction information between miR-141 and targeted genes identified by microarray analysis using in-silico miRWalk tool

    Article Snippet: The microarray experiments were scanned using a DNA microarray laser scanner (DNA Microarray Scanner BA, Agilent Technologies) at 5 µm resolution using Ambion ship and Exiqon ship according to the manufacturer’s instructions.

    Techniques: Microarray, Binding Assay

    Flow chart of microarray data analysis. The agilent single color microarray platform was used having more than 58,000 transcripts and further data processing was done using agilent GeneSpring software followed by pathway analysis using GSEA database. Numbers in parentheses illustrates number of pathways enriched in each category using GSEA database. DEGs-Differentially expressed genes, ANOVA-Analysis of variance, BP-Biological pathway, CC-Cellular component, MF-Molecular function.

    Journal: bioRxiv

    Article Title: Synovial fluid transcriptome dynamics in osteoarthritis progression: Implications in pathogenesis

    doi: 10.1101/2024.06.24.600143

    Figure Lengend Snippet: Flow chart of microarray data analysis. The agilent single color microarray platform was used having more than 58,000 transcripts and further data processing was done using agilent GeneSpring software followed by pathway analysis using GSEA database. Numbers in parentheses illustrates number of pathways enriched in each category using GSEA database. DEGs-Differentially expressed genes, ANOVA-Analysis of variance, BP-Biological pathway, CC-Cellular component, MF-Molecular function.

    Article Snippet: Following hybridization, the array slides were washed and scanned with an Agilent SureScan High-Resolution DNA Microarray Scanner.

    Techniques: Microarray, Software