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2010 protoscript ii reverse transcriptase new england biolabs  (New England Biolabs)


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    New England Biolabs 2010 protoscript ii reverse transcriptase new england biolabs
    2010 Protoscript Ii Reverse Transcriptase New England Biolabs, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 98/100, based on 1456 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cell+transcriptomic+sequencing+dataset/ProtoScript+II+Reverse+Transcriptase/pm30388410-239-191-196
    Average 98 stars, based on 1456 article reviews
    2010 protoscript ii reverse transcriptase new england biolabs - by Bioz Stars, 2026-10
    98/100 stars

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    Related Articles

    Reverse Transcription:

    Article Title: Experimental Confirmation of the Role of the α1–α2 Hairpin PVY VPg in eIF4E Interaction
    Article Snippet: .. cDNA was obtained using ProtoScript II Reverse Transcriptase (NEB, Milton Park, Oxfordshire, UK) according to the manual instructions. ..

    Article Title: Human immunodeficiency virus-associated gut microbiome impacts systemic immunodeficiency and susceptibility to opportunistic gut infection.
    Article Snippet: The gut microbiome of people living with human immunodeficiency virus (PLWH) has been characterized, but its role in influencing host immunity and associated clinical features are unclear.. Here we used shotgun metagenomics to characterize the faecal microbiome of two geographically distinct cohorts of PLWH and healthy controls in Israel and Ethiopia.. We uncovered disease-specific, geographically divergent microbial patterns including a shift from Bacteroides to Prevotella species in an Israeli cohort and multiple Enterobacteriaceae species including Escherichia coli and Klebsiella quasivariicola in an Ethiopian cohort.

    Article Title: Apolipoprotein D modulates obesity-linked inflammation and metabolic syndrome development in a sex dependent manner.
    Article Snippet: 142 2.6 RT-qPCR analysis 143 RNA was extracted with TRIzol reagent (Invitrogen, cat#15596026). .. and reverse transcription (RT) was 144 done using 1 ug RNA with the Protoscript II reverse transcriptase mix (NEB, cat# M0368S) following the 145 manufacturer’s instructions. .. Quantitative PCR was done using the Luna Universal qPCR Master Mix (NEB, 146 cat# M3003S) and in the LightCycler 480 thermocycler.

    Article Title: Integrating clinical diagnostics with interventional genetics for neurodevelopmental disorders.
    Article Snippet: ARTICLE Integrating clinical diagnostics with interventional genetics for neurodevelopmental disorders

    Article Title: The conserved nematode pheromone ascr#18 primes plant immunity.
    Article Snippet: DNA contamination was removed by treatment with DNase I (Invitrogen, USA). .. First-strand cDNA was synthetized from 50 ng of mRNA using ProtoScript II Reverse Transcriptase (NEB, USA). .. The qRT-PCR assay was carried out in CFX96 Real-Time System (Bio-Rad, USA), and transcripts were amplified using iTaqTM Universal SYBR Green Supermix (Bio-Rad) from 1 μL of 20X diluted cDNA in a total of 20 μL reaction using 1 μL of each 10 μM gene-specific primers (see Supplementary Table S3).

    Article Title: Unmasking the common enemy: drug resistance mechanisms across three different EGFR inhibitor generations are associated with co-targetable alterations in extracellular matrix signaling.
    Article Snippet: Droplet digital PCR (ddPCR) oils and ddPCR supermix for probes (no dUTP) were obtained from Bio-Rad Laboratories (Hercules, CA, USA). .. Q5® Hot Start High-Fidelity DNA Polymerase (supplied with 5X Q5® Reaction Buffer and 5X Q5® High GC Enhancer), ProtoScript® II Reverse Transcriptase and Deoxynucleotide (dNTP) Solution Mix (for ddPCR assay) were obtained from New England Biolabs (Ipswich, MA, USA). .. NucleoSpin Gel and PCR Clean‐up Kit was purchased from Macherey-Nagel (Düren, Germany).

    Article Title: FvTFL1 reverses the function of FvGI-FvCO-FvFT1 pathway in the photoperiodic flowering of woodland strawberry
    Article Snippet: .. Protoscript II reverse transcriptase kit (NEB, US) was used for cDNA synthesis. qRT-PCR was performed using a LightCycler 480 SYBR Green I Master kit (Roche Diagnostics, 555 Indianapolis, US) in a Roche LightCycler 480 (Roche Diagnostics, Indianapolis US), as described in Mouhu et al ., (2009) . ..

    cDNA Synthesis:

    Article Title: FvTFL1 reverses the function of FvGI-FvCO-FvFT1 pathway in the photoperiodic flowering of woodland strawberry
    Article Snippet: .. Protoscript II reverse transcriptase kit (NEB, US) was used for cDNA synthesis. qRT-PCR was performed using a LightCycler 480 SYBR Green I Master kit (Roche Diagnostics, 555 Indianapolis, US) in a Roche LightCycler 480 (Roche Diagnostics, Indianapolis US), as described in Mouhu et al ., (2009) . ..

    Quantitative RT-PCR:

    Article Title: FvTFL1 reverses the function of FvGI-FvCO-FvFT1 pathway in the photoperiodic flowering of woodland strawberry
    Article Snippet: .. Protoscript II reverse transcriptase kit (NEB, US) was used for cDNA synthesis. qRT-PCR was performed using a LightCycler 480 SYBR Green I Master kit (Roche Diagnostics, 555 Indianapolis, US) in a Roche LightCycler 480 (Roche Diagnostics, Indianapolis US), as described in Mouhu et al ., (2009) . ..

    SYBR Green Assay:

    Article Title: FvTFL1 reverses the function of FvGI-FvCO-FvFT1 pathway in the photoperiodic flowering of woodland strawberry
    Article Snippet: .. Protoscript II reverse transcriptase kit (NEB, US) was used for cDNA synthesis. qRT-PCR was performed using a LightCycler 480 SYBR Green I Master kit (Roche Diagnostics, 555 Indianapolis, US) in a Roche LightCycler 480 (Roche Diagnostics, Indianapolis US), as described in Mouhu et al ., (2009) . ..

    other:

    Article Title: Near‐Source Wastewater Surveillance of SARS‐CoV‐2, Influenza A, and Respiratory Syncytial Virus With Spatiotemporal Evaluation of Pepper Mild Mottle Virus as a Fecal Indicator
    Article Snippet: The protocol was modified to process 0.3 mL of concentrate with 0.6 mL of lysis buffer, yielding a 0.1‐mL elution. cDNA synthesis followed the NEB #M0368 protocol (New England Biolabs, MA, USA) with dNTP and random hexamer volumes specified in Table .



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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
    https://www.bioz.com/product/cell+transcriptomic+sequencing+dataset/cell+copy+genomic+number+profiling+single+technologies/pmc13197639-319-1-9
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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.

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    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