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read 1 custom primer  (Illumina Inc)


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    Illumina Inc read 1 custom primer
    Read 1 Custom Primer, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/read+1+custom+primer/truseq+read+1/pm40447637-522-3-16
    Average 90 stars, based on 1 article reviews
    read 1 custom primer - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: CRISPR screen decodes SWI/SNF chromatin remodeling complex assembly.
    Article Snippet: After extraction of nuclear proteins, 25 μl of V5-Trap magnetic beads (chromoTek,M-270)werewashed three timeswith ice cold wash buffer (50mM Tris-HCl pH7.5, 150mM NaCl, 0.1% NP-40, 1mM EDTA).

    Sequencing:

    Article Title: CRISPR screen decodes SWI/SNF chromatin remodeling complex assembly
    Article Snippet: .. 12 ul of Read 1 custom primer (Supplementary Data ) at 100 uM were added to Illumina Read 1 primers (position 24 on NovaSeq cluster cartridge) before sequencing with paired-end 50 settings. ..

    Article Title: CRISPR screen decodes SWI/SNF chromatin remodeling complex assembly
    Article Snippet: Fixed cells were washed with DPBS (Gibco, 14190-094), air dried for 5 min and stained with Giemsa solution (Sigma-Aldrich, 48900-500ML-F) for 5 min. After washing with H 2 0 the plates were scanned on the Cytation 5 plate imager (BioTek). .. 12 ul of Read 1 custom primer (Supplementary table 6) at 100 uM were added to Illumina Read 1 primers (position 24 on NovaSeq cluster cartridge) before sequencing with paired-end 50 settings. .. At the desired time point 50 μl of ATPlite reagent (PerkinElmer, 6016943) was added to each well containing 50 μl of mESC medium.



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    (a–c) Effects of <t>sequencing</t> depth on (a) the number of detected genes and transcript counts per single cell, (b) the number of detected PLA products and their UMI counts, and (c) the number of detected proteins and protein UMI counts in 10x-based Prox-seq. (d) Effects of sequencing depth on automated cell type annotation based on mRNA data with singleR package. The cell type annotation at the maximum sequencing depth is used as the ground truth annotation. (e) Effects of sequencing depth on the number of detected protein complexes. Clusters were identified using mRNA data (see Extended Data Fig. 7). Clusters 0 and 3 were chosen as examples because they had the most number of cells per cluster. In (a–e), the sequencing results of the mRNA and PLA product libraries from the 10x PBMC experiment were downsampled to 10%, 20%, 40%, 60%, and 80% to simulate different sequencing depths. (f, g) Effects of sequencing depth on (f) the number of detected PLA products and their UMI counts, and (g) the number of detected proteins and protein UMI counts in plate-based Prox-seq. In (f, g), the sequencing results of the mRNA and PLA product libraries from the plate-based PBMC experiment were downsampled to 0.5%, 1%, 5%, 10%, 25%, 50%, and 75% to simulate different sequencing depths. The red dashed lines in (e, f) indicate 10,000 mean reads per cell.
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    (a–c) Effects of sequencing depth on (a) the number of detected genes and transcript counts per single cell, (b) the number of detected PLA products and their UMI counts, and (c) the number of detected proteins and protein UMI counts in 10x-based Prox-seq. (d) Effects of sequencing depth on automated cell type annotation based on mRNA data with singleR package. The cell type annotation at the maximum sequencing depth is used as the ground truth annotation. (e) Effects of sequencing depth on the number of detected protein complexes. Clusters were identified using mRNA data (see Extended Data Fig. 7). Clusters 0 and 3 were chosen as examples because they had the most number of cells per cluster. In (a–e), the sequencing results of the mRNA and PLA product libraries from the 10x PBMC experiment were downsampled to 10%, 20%, 40%, 60%, and 80% to simulate different sequencing depths. (f, g) Effects of sequencing depth on (f) the number of detected PLA products and their UMI counts, and (g) the number of detected proteins and protein UMI counts in plate-based Prox-seq. In (f, g), the sequencing results of the mRNA and PLA product libraries from the plate-based PBMC experiment were downsampled to 0.5%, 1%, 5%, 10%, 25%, 50%, and 75% to simulate different sequencing depths. The red dashed lines in (e, f) indicate 10,000 mean reads per cell.

    Journal: Nature methods

    Article Title: Quantification of extracellular proteins, protein complexes and mRNAs in single cells by proximity sequencing

    doi: 10.1038/s41592-022-01684-z

    Figure Lengend Snippet: (a–c) Effects of sequencing depth on (a) the number of detected genes and transcript counts per single cell, (b) the number of detected PLA products and their UMI counts, and (c) the number of detected proteins and protein UMI counts in 10x-based Prox-seq. (d) Effects of sequencing depth on automated cell type annotation based on mRNA data with singleR package. The cell type annotation at the maximum sequencing depth is used as the ground truth annotation. (e) Effects of sequencing depth on the number of detected protein complexes. Clusters were identified using mRNA data (see Extended Data Fig. 7). Clusters 0 and 3 were chosen as examples because they had the most number of cells per cluster. In (a–e), the sequencing results of the mRNA and PLA product libraries from the 10x PBMC experiment were downsampled to 10%, 20%, 40%, 60%, and 80% to simulate different sequencing depths. (f, g) Effects of sequencing depth on (f) the number of detected PLA products and their UMI counts, and (g) the number of detected proteins and protein UMI counts in plate-based Prox-seq. In (f, g), the sequencing results of the mRNA and PLA product libraries from the plate-based PBMC experiment were downsampled to 0.5%, 1%, 5%, 10%, 25%, 50%, and 75% to simulate different sequencing depths. The red dashed lines in (e, f) indicate 10,000 mean reads per cell.

    Article Snippet: Custom read 1 sequencing primer (SmartPLA_Read1), custom i5 index read primer (SmartPLA_i5Read) and custom i7 index read primer (SmartPLA_i7Read) were used according to Illumina’s instructions.

    Techniques: Sequencing