Achieve improved variant detection in single cell sequencing Sample to Insight Trademarks: QIAGEN ® , Sample to Insight ® , REPLI-g ® (QIAGEN Group). For up-to-date licensing information and product-specific disclaimers, see the respective kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN Technical Services or your local distributor. © 2016 QIAGEN, all rights reserved. PROM-9403-001 1101136 ¹ Zhang, C.-Z. et al. (2015) Calibrating genomic and allelic coverage bias in single-cell sequencing, Nat. Comm. 6, 6822. “ For clinical samples with a limited number of cells, such as fine-needle aspirates or circulating tumour cells, the most interesting genetic variants are shared among the cells, … it is most efficient to perform ‘census-based variant detection’ from multiplexed sequencing of independently amplified single-cell DNA libraries, each sequenced to modest depths (~1x ).“ 1 No need for you to sequence at high depth as required in bulk sample variant detection Why is single cell variant detection in cancer important? • Facilitates your identification of tumor subpopulation and founder mutations • Enables you to analyze circulating cells for non-invasive monitoring and early detection • Simplifies your understanding of tumor phylogenetic trees and cell lineages Census-based variant detection: increase variant detection power and reduce false positives from library preparation¹ Pool single cell libraries Sequence at modest depth (~1x per cell) Uniform genome coverage during whole genome amplification is required Prepare single cell libraries from multiple single cells AGTCAGTCCCTTAAGGCCTTAGTTTTAA >30x AGTCAGTCCCTTAAGGCCTTAGTTTTAA ~1x Library # 1 Library # 2 Library # 3 Accept (variant allele detected in ≥2 libraries) Reject (variant allele detected in 1 library only) Accurate variant detection in rare cells – feasible and affordable Spotlight With REPLI-g ® Single Cell Kits, you can achieve highly uniform and comprehensive coverage with superior accuracy

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Achieve improved variant detectionin single cell sequencing

Sample to Insight

Trademarks: QIAGEN®, Sample to Insight®, REPLI-g® (QIAGEN Group). For up-to-date licensing information and product-specific disclaimers, see the respective kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN Technical Services or your local distributor.© 2016 QIAGEN, all rights reserved. PROM-9403-001

1101136

¹ Zhang, C.-Z. et al. (2015) Calibrating genomic and allelic coverage bias in single-cell sequencing, Nat. Comm. 6, 6822.

“ For clinical samples with a limited number of cells, such as fine-needle aspirates or circulating tumour cells, the most interesting genetic variants are shared among the cells, … it is most efficient to perform ‘census-based variant detection’ from multiplexed sequencing of independently amplified single-cell DNA libraries, each sequenced to modest depths (~1x ).“1

No need for you to sequence at high depth as required in bulk sample variant detection

Why is single cell variant detection in cancer important?

• Facilitates your identification of tumor subpopulation and founder mutations

• Enables you to analyze circulating cells for non-invasive monitoring and early detection

• Simplifies your understanding of tumor phylogenetic trees and cell lineages

Census-based variant detection: increase variant detection power and reduce false

positives from library preparation¹

Pool single cell librariesSequence at modest depth (~1x per cell)

Uniform genome coverage during whole genome amplification is required

Prepare single cell libraries from multiple single cells

AGTCAGTCCCTTAAGGCCTTAGTTTTAA >30x

AGTCAGTCCCTTAAGGCCTTAGTTTTAA ~1x