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rneasy mini kit  (Qiagen)


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    Structured Review

    Qiagen rneasy mini kit
    KEY RESOURCES TABLE
    Rneasy Mini Kit, supplied by Qiagen, used in various techniques. Bioz Stars score: 99/100, based on 40657 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cell+transcriptomic+sequencing+dataset/RNeasy+Mini+Kit/pmc09059228-58-0-4
    Average 99 stars, based on 40657 article reviews
    rneasy mini kit - by Bioz Stars, 2026-10
    99/100 stars

    Images

    1) Product Images from "Oncogenic Vav1-Myo1f induces therapeutically targetable macrophage-rich tumor microenvironment in peripheral T cell lymphoma"

    Article Title: Oncogenic Vav1-Myo1f induces therapeutically targetable macrophage-rich tumor microenvironment in peripheral T cell lymphoma

    Journal: Cell reports

    doi: 10.1016/j.celrep.2022.110695

    KEY RESOURCES TABLE
    Figure Legend Snippet: KEY RESOURCES TABLE

    Techniques Used: Control, Recombinant, Adjuvant, Extraction, Liposomes, Plasmid Preparation, Cell Isolation, Cell Viability Assay, Reverse Transcription, Sequencing, Software

    Related Articles

    RNA Extraction:

    Article Title: Inhibition of heparan sulfate synthesis by resveratrol in mucopolysaccharidosis type I and IIIB
    Article Snippet: Following 24 h incubation, cells were homogenized and lysed with a QIAshredder column (Cat#79656, Qiagen, Venlo, The Netherlands), with the use of a solution containing guanidine isothiocyanate and β-mercaptoethanol. .. RNA extraction was performed using the RNeasy Mini kit (Cat74106, Qiagen, Venlo, The Netherlands) and treatedt with Turbo DNase (Cat#AM1907, Invitrogen Thermo Fisher Scientific, Waltham, Massachusetts, USA), according to the manufacturers’ instructions. .. The quality of isolated RNA samples was assessed by NanoDrop.

    Isolation:

    Article Title: Decline of chaperone-mediated autophagy in aging impairs macrophage clearance of senescent cells.
    Article Snippet: .. RNA was isolated using TRIzol (Thermo Fisher, 15596018) and RNeasy Mini kit (QIAGEN, 74106) following manufacturers’ instructions. .. RNA (1 μg) was reverse transcribed into complementary DNA using QuantiTect Reverse Transcription kit (QIAGEN, 205314).

    Article Title: Human norovirus infection does not induce serotonin secretion in human intestinal organoids.
    Article Snippet: .. Briefly, total RNA was extracted from each well using either the RNAeasy minikit (#74106, Qiagen) or the Kingfisher flex purification system and Magmax-96 viral RNA isolation kit (#4462359, Applied Biosystems) and used for RT-qPCR. ..

    Synthesized:

    Article Title: Immobilzation‐Induced Muscle Atrophy Exacerbates Vascular Calcification and Abdominal Aortic Aneurysms Through Irisin Downregulation
    Article Snippet: Nuclei were counterstained with DAPI (Sigma‐Aldrich). .. Total RNA was extracted using RNeasy Mini Kits (#74106; Qiagen, Hilden, Germany) and cDNA was synthesized using Omniscript RT Kits (#205110; Qiagen) and oligo(dT) primers (Invitrogen, USA). .. Quantitative real‐time PCR was performed using Fast SYBR Green Master Mix on a StepOnePlus system (Applied Biosystems, USA).

    Purification:

    Article Title: Human norovirus infection does not induce serotonin secretion in human intestinal organoids.
    Article Snippet: .. Briefly, total RNA was extracted from each well using either the RNAeasy minikit (#74106, Qiagen) or the Kingfisher flex purification system and Magmax-96 viral RNA isolation kit (#4462359, Applied Biosystems) and used for RT-qPCR. ..

    Sequencing:

    Article Title: Topoisomerase-Based CDH17 Antibody Drug Conjugates Overcome P-gp Resistance but Undergo Target Mediated Clearance in Colorectal Cancer
    Article Snippet: .. Posi ve hybridomas were subcloned and an body sequencing performed using RNA extracted from hybridoma cells (RNeasy Mini kit, Qiagen, 74106, RRID: SCR_008585). .. cDNA was synthesized from these RNAs using High-Capacity cDNA Reverse Transcrip on Kit (ThermoFisher Scien fic, 4368814, RRID:SCR_025219) and sequencing was performed by Laragen Inc.



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    cell transcriptomic sequencing dataset  (10X Genomics)
    86
    10X Genomics cell transcriptomic sequencing dataset
    <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
    https://www.bioz.com/product/cell+transcriptomic+sequencing+dataset/cell+copy+genomic+number+profiling+single+technologies/pmc13197639-319-1-9
    Average 86 stars, based on 1 article reviews
    cell transcriptomic sequencing dataset - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    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

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

    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