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ampliseq transcriptome human gene expression panel  (Illumina Inc)


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    Structured Review

    Illumina Inc ampliseq transcriptome human gene expression panel
    Ampliseq Transcriptome Human Gene Expression Panel, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 94/100, based on 33 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/transcriptome/AmpliSeq+Transcriptome+Human+Gene+Expression+Panel+for+Illumina/pm33141922-53-16-26
    Average 94 stars, based on 33 article reviews
    ampliseq transcriptome human gene expression panel - by Bioz Stars, 2026-09
    94/100 stars

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    Related Articles

    Gene Expression:

    Article Title: Stratifying IVF population endometria using a prognosis gradient independent of endometrial timing
    Article Snippet: .. Samples were sequenced using the AmpliSeq for Illumina ® Transcriptome Human Gene Expression Panel (Illumina, San Diego, USA). ..

    Article Title: Machine Learning-Based Gene Expression Analysis to Identify Prognostic Biomarkers in Upper Tract Urothelial Carcinoma
    Article Snippet: .. RNA was extracted from formalin-fixed paraffin-embedded tissues and sequenced using the Ion AmpliSeqTM Transcriptome Human Gene Expression Kit on an Illumina HiSeq 2500 platform. ..

    Article Title: Identification of Specific Biomarkers for Anaplastic Thyroid Carcinoma Through Spatial Transcriptomic and Immunohistochemical Profiling.
    Article Snippet: Anaplastic thyroid carcinoma (ATC) is an aggressive malignancy with a poor prognosis.. Despite its rarity, identifying predictive molecular markers that distinguish ATC from follicular cell-derived non-anaplastic thyroid carcinomas is critical for improving diagnosis and treatment strategies.. This study aimed to identify and validate key mRNA and protein markers associated with ATC progression and dedifferentiation.

    Article Title: A liquid biopsy-RNAseq method for monitoring the expression of genes involved in drug disposition: Proof-of-concept application to cholestatic liver disease.
    Article Snippet: Reverse transcription was performed with 3.5 μL of each cfRNA sample using AmpliSeq cDNA Synthesis for Illumina (San Diego, CA, USA). .. The complementary DNA (cDNA, 5 μL) was used in target amplification by polymerase chain reaction (PCR, 16 cycles) using AmpliSeq Transcriptome Human Gene Expression Panel and AmpliSeq HiFi Mix (Illumina). ..

    Article Title: Endometrial cortisol level and its relationship with psychological stress, molecular tissue changes, and clinical outcomes in infertile women
    Article Snippet: Complementary DNA was synthesized using the PrimeScript Reagent Kit (Perfect Real Time, Takara, Shiga, Japan) on a T3000 thermocycler (Biometra, Dublin, Ireland). .. Samples were sequenced using the AmpliSeq for Illumina ® Transcriptome Human Gene Expression Panel in a NextSeq 500/550 system. .. Expression of selected genes was evaluated with quantitative real-time PCR (RT-qPCR) using specific primers (Invitrogen, Waltham, MA, USA) (Supplementary Table 1).

    Article Title: SARS-CoV-2 pathogenesis in angiotensin II induced heart-on-a-chip disease model and exosome screening
    Article Snippet: Bulk mRNA was extracted by PicoPureTM RNA Isolation Kit (Thermofisher Scientific) following cell pellet RNA extraction protocol, for RNA sequencing. .. Targeted whole transcriptome sequencing was done using the AmpliSeq for Illumina Transcriptome Human Gene Expression Panel (Illumina, Inc) following the manufacturer’s recommendations. ..

    Article Title: Endometrial cortisol level and its relationship with psychological stress, molecular tissue changes, and clinical outcomes in infertile women.
    Article Snippet: Complementary DNA was synthesized using the AR TIC LE IN PR ES S PrimeScript Reagent Kit (Perfect Real Time, Takara, Shiga, Japan) on a T3000 thermocycler (Biometra, Dublin, Ireland). .. Samples were sequenced using the AmpliSeq for Illumina® Transcriptome Human Gene Expression Panel in a NextSeq 500/550 system. .. Expression of selected genes was evaluated with quantitative real-time PCR (RTqPCR) using specific primers (Invitrogen, Waltham, MA, USA) (Supplementary Table 1).

    Formalin-fixed Paraffin-Embedded:

    Article Title: Machine Learning-Based Gene Expression Analysis to Identify Prognostic Biomarkers in Upper Tract Urothelial Carcinoma
    Article Snippet: .. RNA was extracted from formalin-fixed paraffin-embedded tissues and sequenced using the Ion AmpliSeqTM Transcriptome Human Gene Expression Kit on an Illumina HiSeq 2500 platform. ..

    Amplification:

    Article Title: A liquid biopsy-RNAseq method for monitoring the expression of genes involved in drug disposition: Proof-of-concept application to cholestatic liver disease.
    Article Snippet: Reverse transcription was performed with 3.5 μL of each cfRNA sample using AmpliSeq cDNA Synthesis for Illumina (San Diego, CA, USA). .. The complementary DNA (cDNA, 5 μL) was used in target amplification by polymerase chain reaction (PCR, 16 cycles) using AmpliSeq Transcriptome Human Gene Expression Panel and AmpliSeq HiFi Mix (Illumina). ..

    Polymerase Chain Reaction:

    Article Title: A liquid biopsy-RNAseq method for monitoring the expression of genes involved in drug disposition: Proof-of-concept application to cholestatic liver disease.
    Article Snippet: Reverse transcription was performed with 3.5 μL of each cfRNA sample using AmpliSeq cDNA Synthesis for Illumina (San Diego, CA, USA). .. The complementary DNA (cDNA, 5 μL) was used in target amplification by polymerase chain reaction (PCR, 16 cycles) using AmpliSeq Transcriptome Human Gene Expression Panel and AmpliSeq HiFi Mix (Illumina). ..

    Sequencing:

    Article Title: SARS-CoV-2 pathogenesis in angiotensin II induced heart-on-a-chip disease model and exosome screening
    Article Snippet: Bulk mRNA was extracted by PicoPureTM RNA Isolation Kit (Thermofisher Scientific) following cell pellet RNA extraction protocol, for RNA sequencing. .. Targeted whole transcriptome sequencing was done using the AmpliSeq for Illumina Transcriptome Human Gene Expression Panel (Illumina, Inc) following the manufacturer’s recommendations. ..



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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.
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    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