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Single-Cell DNA-Seq and RNA-Seq in Cancer Using the C1 System.
Masahide Seki1, Ayako Suzuki2, Sarun Sereewattanawoot2
1Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan. mseki@edu.k.u-tokyo.ac.jp.
Advances in Experimental Medicine and Biology
|April 11, 2019
Summary
This study details protocols for single-cell whole genome amplification (WGA) and whole transcriptome amplification (WTA) using the C1 system. These methods enable comprehensive analysis of cancer cell heterogeneity at the genomic and transcriptomic levels.
Area of Science:
- Cancer Biology
- Genomics
- Molecular Biology
Background:
- Cancer cells exhibit heterogeneous phenotypes, allowing adaptation to diverse environments.
- This heterogeneity arises from single-cell level variations in genome, transcriptome, and epigenome.
- Understanding single-cell variations is crucial for cancer research.
Purpose of the Study:
- To describe standardized protocols for single-cell whole genome amplification (WGA) and whole transcriptome amplification (WTA).
- To outline methods for sequence library preparation from amplified single-cell DNA and cDNA.
- To provide guidance on computational analysis of single-cell cancer data.
Main Methods:
- Utilized the C1 system for automated single-cell capture.
- Performed whole genome amplification (WGA) using MDA.
- Conducted whole transcriptome amplification (WTA) using Smart-Seq.
Main Results:
- Established robust protocols for WGA and WTA from individual cancer cells.
- Developed procedures for preparing sequencing libraries from amplified single-cell genetic material.
- Outlined computational approaches for analyzing single-cell cancer data.
Conclusions:
- The C1 system facilitates efficient single-cell amplification for genomic and transcriptomic analysis.
- These protocols support in-depth investigation of cancer cell heterogeneity.
- Standardized methods are essential for reliable single-cell data analysis in cancer research.
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