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fluidigm c1 systems smartseq 48  (fluidigm)


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    Structured Review

    fluidigm fluidigm c1 systems smartseq 48
    Fluidigm C1 Systems Smartseq 48, supplied by fluidigm, used in various techniques. Bioz Stars score: 96/100, based on 2081 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fluidigm+c1+systems+smartseq+48/C1/10__1097_slash_ico__0000000000003938-163-81-81
    Average 96 stars, based on 2081 article reviews
    fluidigm c1 systems smartseq 48 - by Bioz Stars, 2026-09
    96/100 stars

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    Single Cell:

    Article Title: Single-Cell RNA Sequencing of Murine Limbal Epithelia Reveals Gas1 as a Novel Stem/Progenitor Cell Marker for the Corneal Epithelium
    Article Snippet: .. However, this technique lacks the resolution necessary to identify rare cells or those with genes expressed at low levels.42 First performed in 2009 on mouse blastocysts,43 scRNA-seq has been widely used to study cell populations using a variety of methods (reviewed in44 and45) and has even been explored, but not used, in diagnostics.46 Several platforms are available to analyze the transcriptome of single cells, including SmartSeq-2 (used herein), 10X Chromium (10X Genomics, Pleasanton, CA), massively parallel RNA single-cell sequencing (MARSseq),47 the Fluidigm C1 systems SmartSeq,48 and mRNA Seq HT.45 Although Smart-seq v4 was recently used,49 the most common modality to evaluate the corneal epithelium has been 10X, likely because of its low cost, ability to analyze thousands of cells in a single reaction, and ease of sample preparation.13,34,50 However, this approach precludes preselecting cells for downstream analyses, potentially omitting rare populations and thus suffering from selection bias, and Copyright © 2025 The Author(s). .. Published by Wolters Kluwer Health, Inc. www.corneajrnl.com | 9 the inability to detect more than 500 to 1000 genes/single cell.45 The SmartSeq-2 technique we employed is a platebased assay that captures full-length transcripts,25 with the added capacity to produce ;1,000,000 reads/cell and the ability to amplify low-abundance genes.51 This allows higher per-cell transcript detection sensitivity, that is particularly useful for low abundance genes.

    Sequencing:

    Article Title: Single-Cell RNA Sequencing of Murine Limbal Epithelia Reveals Gas1 as a Novel Stem/Progenitor Cell Marker for the Corneal Epithelium
    Article Snippet: .. However, this technique lacks the resolution necessary to identify rare cells or those with genes expressed at low levels.42 First performed in 2009 on mouse blastocysts,43 scRNA-seq has been widely used to study cell populations using a variety of methods (reviewed in44 and45) and has even been explored, but not used, in diagnostics.46 Several platforms are available to analyze the transcriptome of single cells, including SmartSeq-2 (used herein), 10X Chromium (10X Genomics, Pleasanton, CA), massively parallel RNA single-cell sequencing (MARSseq),47 the Fluidigm C1 systems SmartSeq,48 and mRNA Seq HT.45 Although Smart-seq v4 was recently used,49 the most common modality to evaluate the corneal epithelium has been 10X, likely because of its low cost, ability to analyze thousands of cells in a single reaction, and ease of sample preparation.13,34,50 However, this approach precludes preselecting cells for downstream analyses, potentially omitting rare populations and thus suffering from selection bias, and Copyright © 2025 The Author(s). .. Published by Wolters Kluwer Health, Inc. www.corneajrnl.com | 9 the inability to detect more than 500 to 1000 genes/single cell.45 The SmartSeq-2 technique we employed is a platebased assay that captures full-length transcripts,25 with the added capacity to produce ;1,000,000 reads/cell and the ability to amplify low-abundance genes.51 This allows higher per-cell transcript detection sensitivity, that is particularly useful for low abundance genes.

    Selection:

    Article Title: Single-Cell RNA Sequencing of Murine Limbal Epithelia Reveals Gas1 as a Novel Stem/Progenitor Cell Marker for the Corneal Epithelium
    Article Snippet: .. However, this technique lacks the resolution necessary to identify rare cells or those with genes expressed at low levels.42 First performed in 2009 on mouse blastocysts,43 scRNA-seq has been widely used to study cell populations using a variety of methods (reviewed in44 and45) and has even been explored, but not used, in diagnostics.46 Several platforms are available to analyze the transcriptome of single cells, including SmartSeq-2 (used herein), 10X Chromium (10X Genomics, Pleasanton, CA), massively parallel RNA single-cell sequencing (MARSseq),47 the Fluidigm C1 systems SmartSeq,48 and mRNA Seq HT.45 Although Smart-seq v4 was recently used,49 the most common modality to evaluate the corneal epithelium has been 10X, likely because of its low cost, ability to analyze thousands of cells in a single reaction, and ease of sample preparation.13,34,50 However, this approach precludes preselecting cells for downstream analyses, potentially omitting rare populations and thus suffering from selection bias, and Copyright © 2025 The Author(s). .. Published by Wolters Kluwer Health, Inc. www.corneajrnl.com | 9 the inability to detect more than 500 to 1000 genes/single cell.45 The SmartSeq-2 technique we employed is a platebased assay that captures full-length transcripts,25 with the added capacity to produce ;1,000,000 reads/cell and the ability to amplify low-abundance genes.51 This allows higher per-cell transcript detection sensitivity, that is particularly useful for low abundance genes.



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    96
    fluidigm fluidigm c1 systems smartseq 48
    Fluidigm C1 Systems Smartseq 48, supplied by fluidigm, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fluidigm+c1+systems+smartseq+48/C1/10__1097_slash_ico__0000000000003938-163-81-81
    Average 96 stars, based on 1 article reviews
    fluidigm c1 systems smartseq 48 - by Bioz Stars, 2026-09
    96/100 stars
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