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dsp virus spin kit  (Qiagen)


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    Structured Review

    Qiagen dsp virus spin kit
    Data obtained from the chosen articles.
    Dsp Virus Spin Kit, supplied by Qiagen, used in various techniques. Bioz Stars score: 95/100, based on 130 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cell+transcriptomic+sequencing+dataset/QIAamp+DSP+Virus+Spin+Kit/pmc07886636-48-53-52
    Average 95 stars, based on 130 article reviews
    dsp virus spin kit - by Bioz Stars, 2026-11
    95/100 stars

    Images

    1) Product Images from "Sampling methods and assays applied in SARS-CoV-2 exposure assessment"

    Article Title: Sampling methods and assays applied in SARS-CoV-2 exposure assessment

    Journal: The Science of the Total Environment

    doi: 10.1016/j.scitotenv.2021.145903

    Data obtained from the chosen articles.
    Figure Legend Snippet: Data obtained from the chosen articles.

    Techniques Used: Sampling, Lysis, RNA Extraction, Environmental Monitoring, Virus, Multiplex Assay, Northern Blot, Marker, RNA Detection, Isolation, Membrane, Control, Environmental Sampling, Amplification, Transmission Assay, Aerosol, Diagnostic Assay, Infection, Sterility, Real-time Polymerase Chain Reaction, Nested PCR, Reverse Transcription, Extraction, Purification, Digital PCR, Preserving, Quantitative RT-PCR, cDNA Synthesis, Magnetic Beads, Incubation, Modification, One Step RT-PCR, Cell Culture, Sequencing

    Related Articles

    Virus:

    Article Title: Genomic profiling of AKT1 and NRAS mutations using NGS in Egyptian hepatocellular carcinoma
    Article Snippet: .. We next used the QIAamp ® DSP Virus Spin Kit, Version 1 (QIAGEN, Hilden, Germany) to extract cell-free DNA (cfDNA) from plasma according to the manufacturer’s instructions. .. This investigation was facilitated by the use of primers from the Ion AmpliSeq Cancer Hotspot Panel v2 (primer pool) (catalog number 4475346, Thermo Scientific, USA).

    Article Title: Association of Human Cytomegalovirus exposure with tuberculosis disease in South African adults with presumptive tuberculosis
    Article Snippet: .. HCMV DNAemia was determined by extracting viral DNA using QIAamp DSP Virus Spin kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. .. Real-time qPCR was done using artus CMV RG PCR kit (Qiagen, Hilden, Germany) on the QuantStudio5 platform using the following parameters: hot start enzyme activation at 95°C for 10 minutes, denaturation at 95°C for 15 seconds, annealing at 65°C for 30 seconds, and extension at 72°C for 20 seconds.

    Article Title: High hepatitis E virus prevalence in pig slurry samples from the north-western region of Germany
    Article Snippet: .. Viral RNA was extracted from a sample volume of 200 μL using the QiAmp MiniElute Virus Spin Kit (Qiagen, Hilden, Germany). .. HEV RNA copies were quantified by one-step quantitative real-time PCR (qRTPCR) (ViiATM 7 Real-Time PCR System Life Technologies, Carlsbad, CA) with HEV specific primers and probes (JVHEVF 5′GGTGGTTTCTGGGGTGAC; JVHEVR 5′AGGGGTTGGTTGGATGAA, TaqMan minor grove binding probe JVHEVPh 5′FAM-TGATTCTCAGCCCTTCGC-MGB).

    Article Title: A standardized protocol for the detection of arboviruses in different Aedes mosquito species in North Borneo Sabah, Malaysia
    Article Snippet: .. This protocol was adapted to the Qiagen QIAamp DSP Virus Spin Kit (Qiagen, Germany), which we used to further improve RNA recovery to ensure high sensitivity for virus detection even with a relatively small number of samples. ..

    Article Title: Genomic profiling of AKT1 and NRAS mutations using NGS in Egyptian hepatocellular carcinoma.
    Article Snippet: .. We next used the QIAamp® DSP Virus Spin Kit, Version 1 (QIAGEN, Hilden, Germany) to extract cell-free DNA (cfDNA) from plasma according to the manufacturer’s instructions. .. This investigation was facilitated by the use of primers from the Ion AmpliSeq Cancer Hotspot Panel v2 (primer pool) (catalog number 4475346, Thermo Scientific, USA).

    Article Title: High hepatitis E virus prevalence in pig slurry samples from the north-western region of Germany
    Article Snippet: The flow through was pipetted on top of an 8–40 % linear iodixanol/sucrose (OptiPrep, Progen Biotechnik, Heidelberg, Germany) gradient which was ultracentrifuged in a SW55 Ti rotor (Beckmann Coulter, Krefeld, Germany) at 43200 rpm and 4 ◦C for 18 h. 20 fractions á 250 μL were taken from bottom to top for each sample analyzed and the density was determined by refractometry. .. Viral RNA was purified from each fraction using the QiAmp MiniElute Virus Spin Kit (Qiagen) followed by qRT-PCR to quantify HEV RNA copy numbers as described above. ..

    Clinical Proteomics:

    Article Title: Genomic profiling of AKT1 and NRAS mutations using NGS in Egyptian hepatocellular carcinoma
    Article Snippet: .. We next used the QIAamp ® DSP Virus Spin Kit, Version 1 (QIAGEN, Hilden, Germany) to extract cell-free DNA (cfDNA) from plasma according to the manufacturer’s instructions. .. This investigation was facilitated by the use of primers from the Ion AmpliSeq Cancer Hotspot Panel v2 (primer pool) (catalog number 4475346, Thermo Scientific, USA).

    Article Title: Genomic profiling of AKT1 and NRAS mutations using NGS in Egyptian hepatocellular carcinoma.
    Article Snippet: .. We next used the QIAamp® DSP Virus Spin Kit, Version 1 (QIAGEN, Hilden, Germany) to extract cell-free DNA (cfDNA) from plasma according to the manufacturer’s instructions. .. This investigation was facilitated by the use of primers from the Ion AmpliSeq Cancer Hotspot Panel v2 (primer pool) (catalog number 4475346, Thermo Scientific, USA).

    other:

    Article Title: A standardized protocol for the detection of arboviruses in different Aedes mosquito species in North Borneo Sabah, Malaysia
    Article Snippet: Reagents/tools , 1. Qiagen QIAamp DSP Virus Spin Kit 2. Smith Scientific Tissue Grinding Pestle 3. 70 % ethanol 4. Vortex mixer 5. Legend Micro 21 Centrifuge 6. BioRad CFX-96 Real-Time PCR.

    Article Title:
    Article Snippet: Comparison with predicate: Similarities and Differences Item Device Predicate FluChip-8G Influenza A+B Assay (K182513) CDC Human Influenza Virus Real-Time PCR Diagnostic Panel (K172091) Measurand Influenza RNA Same Viruses Detected Influenza A and B viruses Same Influenza A subtype Differentiation • Seasonal influenza A/H1N1pdm09 • Seasonal influenza A/H3N2 • “Non-seasonal” influenza A • Same • Same • Influenza A/H5 (Asian Lineage) Influenza B lineage Differentiation • Influenza B/Victoria • Influenza B/Yamagata Same Assay Type Qualitative Same CLIA Complexity High Same Sample Type Nasal swab and nasopharyngeal swab specimens Upper respiratory tract specimens, including nasal swabs and nasopharyngeal swabs; lower respiratory tract specimens Sample Preparation Method Nucleic Acid Extraction Same Detection Technology Fluorescence Same Technological Principles RT-PCR followed by endpoint detection by microarray via nucleic acid probes and fluorescence Real-time RT-PCR via nucleic acid probes and fluorescence Nucleic Acid Extraction QIAamp DSP Virus Spin Kit • QIAamp Viral RNA Mini Kit, Qiagen • QIAcube with QIAamp Viral RNA Mini Kit • MagNA Pure Compact—Total Nucleic Acid Kit, Roche • MagNA Pure Compact—RNA Isolation Kit, Roche • MagNA Pure LC—RNA Isolation Kit II, Roche • NucliSENS easyMAG, bioMerieux Controls • Internal Control in each specimen • External positive control processed with each batch • External negative control processed with each batch Same Amplification Reagents Quanta Biosciences qScript One-Step RTPCR Kit • Quanta Biosciences qScript One-Step qRT-PCR Kit, low ROX • Invitrogen SuperScript III Platinum One-Step Quantitative RT-PCR Kit Similarities and Differences Item Device Predicate FluChip-8G Influenza A+B Assay (K182513) CDC Human Influenza Virus Real-Time PCR Diagnostic Panel (K172091) Results Interpretation Automated test interpretation via neural network-based algorithm using fluorescence intensities Manual test interpretation via Ct value determined from fluorescence intensities Instrumentation FluChip-8G Imaging System Applied Biosystems 7500 Dx Real-Time PCR Instrument K. Standard/Guidance Document Referenced (if applicable): None L. Test Principle: The FluChip-8G Influenza A+B Assay (FC8G assay) includes a multiplex primer mix to amplify the hemagglutinin (HA), neuraminidase (NA), matrix (M), non-structural (NS), and nucleoprotein (NP) gene segments of all influenza A viruses, as well as the hemagglutinin (HA) and neuraminidase (NA) gene segments of all influenza B viruses, and a portion of the 18s gene present in eukaryotic cells as an endogenous internal control.

    Purification:

    Article Title: High hepatitis E virus prevalence in pig slurry samples from the north-western region of Germany
    Article Snippet: The flow through was pipetted on top of an 8–40 % linear iodixanol/sucrose (OptiPrep, Progen Biotechnik, Heidelberg, Germany) gradient which was ultracentrifuged in a SW55 Ti rotor (Beckmann Coulter, Krefeld, Germany) at 43200 rpm and 4 ◦C for 18 h. 20 fractions á 250 μL were taken from bottom to top for each sample analyzed and the density was determined by refractometry. .. Viral RNA was purified from each fraction using the QiAmp MiniElute Virus Spin Kit (Qiagen) followed by qRT-PCR to quantify HEV RNA copy numbers as described above. ..

    Quantitative RT-PCR:

    Article Title: High hepatitis E virus prevalence in pig slurry samples from the north-western region of Germany
    Article Snippet: The flow through was pipetted on top of an 8–40 % linear iodixanol/sucrose (OptiPrep, Progen Biotechnik, Heidelberg, Germany) gradient which was ultracentrifuged in a SW55 Ti rotor (Beckmann Coulter, Krefeld, Germany) at 43200 rpm and 4 ◦C for 18 h. 20 fractions á 250 μL were taken from bottom to top for each sample analyzed and the density was determined by refractometry. .. Viral RNA was purified from each fraction using the QiAmp MiniElute Virus Spin Kit (Qiagen) followed by qRT-PCR to quantify HEV RNA copy numbers as described above. ..



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    <t>Transcriptomic</t> and TME characteristics associated with ECMSig in TCGA-GBM cohort (A) Volcano plot showing DEGs between ECMSig-high and ECMSig-low groups. Red dots: upregulated in high-risk; blue dots: upregulated in low-risk. Benjamini-Hochberg adjusted. (B) Gene set enrichment analysis (GSEA) plots showing enrichment of hallmark pathways. Pathways enriched in ECMSig-high and ECMSig-low groups are shown with their running enrichment scores (ESs) and ranked gene lists. Benjamini-Hochberg adjusted. (C) Heatmap showing the activity scores of selected oncogenic and tumor-related signaling pathways (rows) across TCGA-GBM samples (columns), annotated by ECMSig group and ECMSig score. Red indicates high activity, blue indicates low activity. ∗ p < 0.05. Wilcoxon signed-rank test. (D) Heatmap depicting the estimated infiltration levels of various immune and stromal cell types (rows) in TCGA-GBM samples (columns), stratified by ECMSig group and score. Red indicates high infiltration, blue indicates low infiltration. Cells significantly highly infiltrated in ECMSig-high are labeled in red, and those high in ECMSig-low group are in blue. ∗q < 0.05, ∗∗q < 0.01, ∗∗∗q < 0.001. Wilcoxon signed-rank test. Benjamini-Hochberg adjusted. (E and F) Scatterplots showing the spearman correlation between ECMSig score and (E) Macrophage_XCELL infiltration score and (F) immune_score_XCELL. The blue line represents the linear regression fit with 95% confidence interval bands. Spearman correlation test.
    Cell Transcriptomic Sequencing Dataset, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Transcriptomic and TME characteristics associated with ECMSig in TCGA-GBM cohort (A) Volcano plot showing DEGs between ECMSig-high and ECMSig-low groups. Red dots: upregulated in high-risk; blue dots: upregulated in low-risk. Benjamini-Hochberg adjusted. (B) Gene set enrichment analysis (GSEA) plots showing enrichment of hallmark pathways. Pathways enriched in ECMSig-high and ECMSig-low groups are shown with their running enrichment scores (ESs) and ranked gene lists. Benjamini-Hochberg adjusted. (C) Heatmap showing the activity scores of selected oncogenic and tumor-related signaling pathways (rows) across TCGA-GBM samples (columns), annotated by ECMSig group and ECMSig score. Red indicates high activity, blue indicates low activity. ∗ p < 0.05. Wilcoxon signed-rank test. (D) Heatmap depicting the estimated infiltration levels of various immune and stromal cell types (rows) in TCGA-GBM samples (columns), stratified by ECMSig group and score. Red indicates high infiltration, blue indicates low infiltration. Cells significantly highly infiltrated in ECMSig-high are labeled in red, and those high in ECMSig-low group are in blue. ∗q < 0.05, ∗∗q < 0.01, ∗∗∗q < 0.001. Wilcoxon signed-rank test. Benjamini-Hochberg adjusted. (E and F) Scatterplots showing the spearman correlation between ECMSig score and (E) Macrophage_XCELL infiltration score and (F) immune_score_XCELL. The blue line represents the linear regression fit with 95% confidence interval bands. Spearman correlation test.

    Journal: iScience

    Article Title: Multi-omics profiling-derived signature links cellular ecosystem to glioblastoma prognosis

    doi: 10.1016/j.isci.2026.115982

    Figure Lengend Snippet: Transcriptomic and TME characteristics associated with ECMSig in TCGA-GBM cohort (A) Volcano plot showing DEGs between ECMSig-high and ECMSig-low groups. Red dots: upregulated in high-risk; blue dots: upregulated in low-risk. Benjamini-Hochberg adjusted. (B) Gene set enrichment analysis (GSEA) plots showing enrichment of hallmark pathways. Pathways enriched in ECMSig-high and ECMSig-low groups are shown with their running enrichment scores (ESs) and ranked gene lists. Benjamini-Hochberg adjusted. (C) Heatmap showing the activity scores of selected oncogenic and tumor-related signaling pathways (rows) across TCGA-GBM samples (columns), annotated by ECMSig group and ECMSig score. Red indicates high activity, blue indicates low activity. ∗ p < 0.05. Wilcoxon signed-rank test. (D) Heatmap depicting the estimated infiltration levels of various immune and stromal cell types (rows) in TCGA-GBM samples (columns), stratified by ECMSig group and score. Red indicates high infiltration, blue indicates low infiltration. Cells significantly highly infiltrated in ECMSig-high are labeled in red, and those high in ECMSig-low group are in blue. ∗q < 0.05, ∗∗q < 0.01, ∗∗∗q < 0.001. Wilcoxon signed-rank test. Benjamini-Hochberg adjusted. (E and F) Scatterplots showing the spearman correlation between ECMSig score and (E) Macrophage_XCELL infiltration score and (F) immune_score_XCELL. The blue line represents the linear regression fit with 95% confidence interval bands. Spearman correlation test.

    Article Snippet: The single-cell transcriptomic sequencing dataset utilizing technology from the 10X Genomics platform was available under the accession number GEO: GSE182109 at the Gene Expression Omnibus (GEO) repository.

    Techniques: Activity Assay, Protein-Protein interactions, Labeling

    Single-cell RNA sequencing analysis revealing ECMSig expression across cell types and identification of prognostically relevant cell states in GBM (A) UMAP visualization of major cell types identified in GBM scRNA-seq data. (B) Dot plot showing the scaled average expression (color intensity) and percentage of cells expressing (dot size) canonical marker genes for each major cell type. (C) Dot plot showing the scaled average expression and percentage of cells expressing the seven ECMSig genes across major cell types. (D) UMAP plots showing the expression levels of individual ECMSig genes and overall ECMSig score across all cells. (E–G) UMAP plots illustrating Scissor-identified prognostically unfavorable (Scissor_Pos, red dashed circle) and favorable (Scissor_Neg, blue dashed circle; Scissor_Others, gray) cell subpopulations within (E) tumor cells, (F) myeloid cells, and (G) endothelial cells. (H–K) Violin plots comparing ECMSig scores among tumor cells grouped by Scissor status (H) and tumor type (I), and myeloid cells (J) or endothelial cells (K) grouped by Scissor status. ∗∗∗∗ p < 0.0001. Wilcoxon signed-rank test. (L) Dot plot showing differentially expressed marker genes between myeloid Scissor_Pos and other myeloid cells. Dot size indicates the fraction of cells in the group expressing the gene; color indicates average expression level.

    Journal: iScience

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    doi: 10.1016/j.isci.2026.115982

    Figure Lengend Snippet: Single-cell RNA sequencing analysis revealing ECMSig expression across cell types and identification of prognostically relevant cell states in GBM (A) UMAP visualization of major cell types identified in GBM scRNA-seq data. (B) Dot plot showing the scaled average expression (color intensity) and percentage of cells expressing (dot size) canonical marker genes for each major cell type. (C) Dot plot showing the scaled average expression and percentage of cells expressing the seven ECMSig genes across major cell types. (D) UMAP plots showing the expression levels of individual ECMSig genes and overall ECMSig score across all cells. (E–G) UMAP plots illustrating Scissor-identified prognostically unfavorable (Scissor_Pos, red dashed circle) and favorable (Scissor_Neg, blue dashed circle; Scissor_Others, gray) cell subpopulations within (E) tumor cells, (F) myeloid cells, and (G) endothelial cells. (H–K) Violin plots comparing ECMSig scores among tumor cells grouped by Scissor status (H) and tumor type (I), and myeloid cells (J) or endothelial cells (K) grouped by Scissor status. ∗∗∗∗ p < 0.0001. Wilcoxon signed-rank test. (L) Dot plot showing differentially expressed marker genes between myeloid Scissor_Pos and other myeloid cells. Dot size indicates the fraction of cells in the group expressing the gene; color indicates average expression level.

    Article Snippet: The single-cell transcriptomic sequencing dataset utilizing technology from the 10X Genomics platform was available under the accession number GEO: GSE182109 at the Gene Expression Omnibus (GEO) repository.

    Techniques: Single Cell, RNA Sequencing, Expressing, Marker

    Spatial transcriptomic analysis revealing co-localization of ECMSig, hypoxia, Scissor-Positive cells, and pericytes in GBM (A) Spatial feature plots for four GBM samples. Each row represents a sample. Columns show spatial heatmaps of: ECMSig score, hypoxia signature score, tumor Scissor_Pos signature score, myeloid Scissor_Pos signature score, endothelial Scissor Pos signature score, and pericyte marker signature score. Color scale indicates scaled expression or score (low to high). Each dot represents a spatial barcoded spot.

    Journal: iScience

    Article Title: Multi-omics profiling-derived signature links cellular ecosystem to glioblastoma prognosis

    doi: 10.1016/j.isci.2026.115982

    Figure Lengend Snippet: Spatial transcriptomic analysis revealing co-localization of ECMSig, hypoxia, Scissor-Positive cells, and pericytes in GBM (A) Spatial feature plots for four GBM samples. Each row represents a sample. Columns show spatial heatmaps of: ECMSig score, hypoxia signature score, tumor Scissor_Pos signature score, myeloid Scissor_Pos signature score, endothelial Scissor Pos signature score, and pericyte marker signature score. Color scale indicates scaled expression or score (low to high). Each dot represents a spatial barcoded spot.

    Article Snippet: The single-cell transcriptomic sequencing dataset utilizing technology from the 10X Genomics platform was available under the accession number GEO: GSE182109 at the Gene Expression Omnibus (GEO) repository.

    Techniques: Marker, Expressing