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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 1466 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 1466 article reviews
    2010 protoscript ii reverse transcriptase new england biolabs - by Bioz Stars, 2026-11
    98/100 stars

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    Reverse Transcription:

    Article Title: Neurobiological alterations and autism-like phenotype in mice following regulatory-limit exposure to fungicides in drinking water
    Article Snippet: RNAs were extracted and purified using the Direct-Zol RNA MiniPrep kit (Zymo research, Irvine, USA). .. cDNA was synthetized using the ProtoScript II Reverse Transcriptase kit (New England BioLabs, Evry-Courcouronnes, France). .. qRT-PCR was performed in quadruplets on a CFX384 Touch Real-Time PCR Detection System (Biorad, Marnes-la-Coquette, France) using iQ-SYBR Green supermix (Bio-Rad) kit with 0.25 μl cDNA in a 12 μl final volume in Hard-Shell Thin-Wall 384-Well Skirted PCR Plates (Bio-rad).

    Article Title: Molecular Epidemiological Investigation of Salmonid Alphavirus Genotype 2 (SAV2) Emergence on the Helgeland Coast of Norway in 2023
    Article Snippet: .. Between 100 and 400 ng of extracted nucleic acid was used for cDNA synthesis with ProtoScript II Reverse Transcriptase (New England Biolabs, NEB, Ipswich, MA, USA). .. Reverse transcription was performed at 42 ◦C for 60 min, followed by enzyme inactivation at 80 ◦C for 5 min. PCR amplification was performed using LongAmp Taq 2× Master Mix (NEB).

    Article Title: Analytical Performance of the EasyPGX Ready NTRK Fusion Assay for Detecting Tumor-Agnostic NTRK Gene Fusions in Solid Tumors
    Article Snippet: Targeted RNA Sequencing (RNA-Seq) For all available tumor specimens, fusion transcript detection covering 507 genes frequently associated with oncogenic chromosomal rearrangements in cancer was performed based on hybrid-capture next-generation sequencing (NGS) using the TruSight RNA Fusion Panel (RS-304-1002 and RS-304-1003, Illumina, San Diego, CA, USA) as the diagnostic benchmark reference method. .. First-strand cDNA synthesis was conducted using random hexamers and ProtoScript II Reverse Transcriptase (M0368, New England Biolabs, Ipswich, MA, USA). .. All purification and size selection steps were performed using Agencourt AMPure XP magnetic beads (A63881, Beckman Coulter, Brea, CA, USA).

    Article Title: TIME FOR COFFEE coordinates phase separation and chromatin regulation for salt tolerance.
    Article Snippet: For mRNA expression analysis, 10 μg of total RNA was treated with the TURBO DNA- free Kit (Thermo Fisher Scientific, AM1907) to remove any contaminating DNA. .. Then, 1 μg of RNA was reverse transcribed into cDNA using an oligo(dT) primer and ProtoScript II reverse transcriptase (NEB, no. M0368L). .. Quantitative PCR was performed on a CFX96 RealTime System (Bio- Rad) with SYBR Green Master Mix (Bio- Rad).

    Article Title: Endogenous targets of Zuo1-mediated mRNA surveillance encode proteins with higher predicted disorder
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER DisEMBL Linding et al.15 RRID:SCR_003070 HSF1base Kovács et al.31 RRID:SCR_015530 R v4.3.2 R Core Team RRID:SCR_001905 Python v4.3.2 Python Software Foundation RRID:SCR_008394 Other Thick-wall polycarbonate tube Beckman Coulter 343778 TLA120.2 rotor Beckman Coulter TLA120.2 4–15% Criterion TGX gel Biorad 5671084 Spex 6775 freezing grinding mill Spex sample prep N/A Qubit Fluorometer 2.0 Invitrogen RRID:SCR_020553 Illumina NovaSeq X Plus Illumina RRID:SCR_024568 iScience 29, 117945, November 20, 2026 11 Yeast kit (Qiagen 334215) according to the manufacturer’s instructions. .. Ligated RNA samples were reverse transcribed using Protoscript II RT (NEB M0368). ..

    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: ATF4 Modulates Group 1 mGluR-Dependent molecular signaling, hippocampal plasticity and behavior.
    Article Snippet: Real-time quantitative reverse transcription PCR (RT-qPCR) The total RNA from cultured neurons was obtained with TRIzol reagent (Life Technologies). .. A total of 2 μg RNA was used for reverse transcription using ProtoScript II Reverse Transcriptase (New England Biolabs, NEB). .. The cDNA was subsequently diluted and analyzed by real-time PCR (Bio-Rad) with Luna Universal qPCR Master Mix (NEB).

    cDNA Synthesis:

    Article Title: Molecular Epidemiological Investigation of Salmonid Alphavirus Genotype 2 (SAV2) Emergence on the Helgeland Coast of Norway in 2023
    Article Snippet: .. Between 100 and 400 ng of extracted nucleic acid was used for cDNA synthesis with ProtoScript II Reverse Transcriptase (New England Biolabs, NEB, Ipswich, MA, USA). .. Reverse transcription was performed at 42 ◦C for 60 min, followed by enzyme inactivation at 80 ◦C for 5 min. PCR amplification was performed using LongAmp Taq 2× Master Mix (NEB).

    Article Title: Analytical Performance of the EasyPGX Ready NTRK Fusion Assay for Detecting Tumor-Agnostic NTRK Gene Fusions in Solid Tumors
    Article Snippet: Targeted RNA Sequencing (RNA-Seq) For all available tumor specimens, fusion transcript detection covering 507 genes frequently associated with oncogenic chromosomal rearrangements in cancer was performed based on hybrid-capture next-generation sequencing (NGS) using the TruSight RNA Fusion Panel (RS-304-1002 and RS-304-1003, Illumina, San Diego, CA, USA) as the diagnostic benchmark reference method. .. First-strand cDNA synthesis was conducted using random hexamers and ProtoScript II Reverse Transcriptase (M0368, New England Biolabs, Ipswich, MA, USA). .. All purification and size selection steps were performed using Agencourt AMPure XP magnetic beads (A63881, Beckman Coulter, Brea, CA, USA).



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    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, 2026-11
    86/100 stars
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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

    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