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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
Published on: January 10, 2019
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Single-Cell Genome and Transcriptome Sequencing Library Construction Using Combination of MDA and Nextera Library
Ioanna Andreou1, Christian Korfhage1, Nan Fang1
1QIAGEN, Hilden, Germany.
Current Protocols in Molecular Biology
|November 28, 2019
Summary
Single-cell sequencing enables detailed analysis of individual cells, overcoming challenges of small sample sizes through advanced amplification techniques for robust genome and transcriptome insights.
Area of Science:
- Life science and medicine
- Genomics
- Molecular biology
Background:
- Single-cell analysis is crucial for understanding cellular heterogeneity in tissues and populations.
- Traditional genome and transcriptome sequencing require substantial starting material, posing challenges for individual cells.
- Degradation, sample loss, and contamination significantly impact sequence quality from minute samples.
Purpose of the Study:
- To describe a comprehensive workflow for single-cell sequencing.
- To address the technical hurdles in analyzing individual cells.
- To enable the study of rare cell types and uncover subtle biological variations.
Main Methods:
- Cell lysis protocols optimized for minimal sample input.
- Multiple Displacement Amplification (MDA)-based whole-genome amplification.
- MDA-based whole-transcriptome amplification.
- Next-generation sequencing (NGS) library preparation.
Main Results:
- Demonstration of a robust workflow from single cells to NGS data.
- Mitigation of challenges related to sample degradation and loss.
- Enabling the discovery of clonal mutations and cryptic cell types.
Conclusions:
- Single-cell sequencing, supported by advanced amplification, is vital for detailed biological discovery.
- The described workflow facilitates the study of cellular heterogeneity and rare biological features.
- This approach enhances the robustness and quality of sequencing data from individual cells.
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