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split pipe  (Parse Biosciences)

 
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    Parse Biosciences split pipe
    Split Pipe, supplied by Parse Biosciences, 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/result/split pipe/product/Parse Biosciences
    Average 86 stars, based on 1 article reviews
    split pipe - by Bioz Stars, 2026-06
    86/100 stars

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    (A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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    (A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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    (A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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    Average 86 stars, based on 1 article reviews
    split pipe pipeline - by Bioz Stars, 2026-06
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    (A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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    (A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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    (A) Workflow schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.

    Journal: bioRxiv

    Article Title: High throughput single-cell RNA sequencing of intact adult cardiomyocytes and non-myocytes using a split-pool approach

    doi: 10.64898/2026.04.28.721288

    Figure Lengend Snippet: (A) Workflow schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.

    Article Snippet: Upstream processing was performed on AWS using the Parse Biosciences split-pipe workflow with default parameters.

    Techniques: Sequencing, Control