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qiaseq mirna primary quantification processing workflow  (Qiagen)


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    Qiagen qiaseq mirna primary quantification processing workflow
    Qiaseq Mirna Primary Quantification Processing Workflow, supplied by Qiagen, 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/quantification+workflow/qiaseq+mirna+quantification+tool/pm33785202-99-9-22
    Average 90 stars, based on 1 article reviews
    qiaseq mirna primary quantification processing workflow - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Sequencing:

    Article Title: Gastroesophageal circulating tumor cell crosstalk with peripheral immune system guides CTC survival and proliferation.
    Article Snippet: Library pools were diluted to 1.5 pM and sequenced using NextSeq 500/550 High Output Kit v2.5 75 cycles flow cell (Cat. N° 20024906, Illumina, San Diego, CA, USA) on NextSeq 500 platform (Illumina). .. Sequencing data analysis: raw data (FASTQ) were analyzed according to the QIAseq miRNA Primary Quantification pipeline using the GeneGlobe Data Analysis Center (available at https:// geneglobe.qiagen.com/us/analyze Qiagen, Hilden Germany). ..

    Article Title: Gastroesophageal circulating tumor cell crosstalk with peripheral immune system guides CTC survival and proliferation
    Article Snippet: Library pools were diluted to 1.5 pM and sequenced using NextSeq 500/550 High Output Kit v2.5 75 cycles flow cell (Cat. N° 20024906, Illumina, San Diego, CA, USA) on NextSeq 500 platform (Illumina). .. Sequencing data analysis: raw data (FASTQ) were analyzed according to the QIAseq miRNA Primary Quantification pipeline using the GeneGlobe Data Analysis Center (available at https://geneglobe.qiagen.com/us/analyze Qiagen, Hilden Germany). ..

    Control:

    Article Title: miRNA signatures underlie chemoresistance in the gemcitabine-resistant pancreatic ductal adenocarcinoma cell line MIA PaCa-2 GR
    Article Snippet: All sequencing data were demultiplexed and converted to fastq files using bcl2fastq (Illumina Inc., San Diego, CA). .. After quality control with the FastQC tool, fastq files were processed using the QIAseq miRNA quantification feature provided by QIAGEN’s GeneGlobe Data Analysis Center (Qiagen, Germantown, MD). ..

    RNA Sequencing:

    Article Title: Statistical modeling of extracellular vesicle cargo to predict clinical trial outcomes for hypoplastic left heart syndrome
    Article Snippet: We conducted RNA library preparation and sequencing at the Emory Yerkes Nonhuman Primate Genomics core (Illumina NovaSeq 6000). .. Small RNA sequencing files were aligned using the Qiagen GeneGlobe console with QIAseq miRNA Quantification tool. ..

    other:

    Article Title: Exploration of microRNAs from blood extracellular vesicles as biomarkers of exposure to polycyclic aromatic hydrocarbons.
    Article Snippet: Exposure to polycyclic aromatic hydrocarbons (PAHs), ubiquitously environmental contaminant, leads to the development of major toxic effects on human health, such as carcinogenic and immunosuppressive alterations reported for the most studied PAH, i.e., benzo(a)pyrene (B(a)P).. In order to assess the risk associated with this exposure, it is necessary to have predictive biomarkers.. Thus, extracellular vesicles (EVs) and their microRNA (miRNA) contents, have recently been proposed as potentially interesting biomarkers in Toxicology.



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    Image Search Results


    Schematic overview of the workflow for 2D and 3D analysis of hiPSC-derived neurospheres. (A) Generation of neurospheres from hiPSC, followed by fixation and preparation for either 2D cryosectioning or 3D tissue clearing. (B) Cleared neurospheres are embedded in agarose for light-sheet fluorescence microscopy, producing a Z-stack of ~ 300–500 optical sections at 3 μm intervals, depending on spheroid size and maturation. (C) Quantification workflow in Imaris using the spot detection function to enumerate positive cells across the entire spheroid, providing precise volumetric data rather than estimates from a single section. Illustrations were created with BioRender.

    Journal: Scientific Reports

    Article Title: Contribution of tissue clearing and 3D image analysis to in vitro modeling of human cortical development

    doi: 10.1038/s41598-026-41741-7

    Figure Lengend Snippet: Schematic overview of the workflow for 2D and 3D analysis of hiPSC-derived neurospheres. (A) Generation of neurospheres from hiPSC, followed by fixation and preparation for either 2D cryosectioning or 3D tissue clearing. (B) Cleared neurospheres are embedded in agarose for light-sheet fluorescence microscopy, producing a Z-stack of ~ 300–500 optical sections at 3 μm intervals, depending on spheroid size and maturation. (C) Quantification workflow in Imaris using the spot detection function to enumerate positive cells across the entire spheroid, providing precise volumetric data rather than estimates from a single section. Illustrations were created with BioRender.

    Article Snippet: Fig. 1 Schematic overview of the workflow for 2D and 3D analysis of hiPSC-derived neurospheres. (A) Generation of neurospheres from hiPSC, followed by fixation and preparation for either 2D cryosectioning or 3D tissue clearing. (B) Cleared neurospheres are embedded in agarose for light-sheet fluorescence microscopy, producing a Z-stack of ~ 300–500 optical sections at 3 μm intervals, depending on spheroid size and maturation. (C) Quantification workflow in Imaris using the spot detection function to enumerate positive cells across the entire spheroid, providing precise volumetric data rather than estimates from a single section.

    Techniques: Derivative Assay, Fluorescence, Microscopy