Post on 14-Jan-2017
Achieve improved variant detectionin single cell sequencing
Sample to Insight
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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
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
SpotlightWith REPLI-g® Single Cell Kits,you can achieve highly uniformand comprehensive coverage
with superior accuracy