scTrio-seq
Single-Cell Triple Omics Sequencing
scTrio-Seq can analyze genomic CNVs, the DNA methylome, and the transcriptome of an individual mammalian cell simultaneousl. This approach is an extension of previous methods, such as scMT-seq (Hu et al., 2016)
Advantages:
- Accurately analyzes the mechanism by which the transcriptome, genome, and DNA methylome regulate each other
- CNVs can be identified reliably using scRRBS data
Disadvantages:
- Lower transcriptome coverage than scMT-seq
- Results in 3′-biased transcriptome
Reagents:
Illumina Library prep and Array Kit Selector
Reviews:
Bock C., Farlik M. and Sheffield N. C. Multi-Omics of Single Cells: Strategies and Applications. Trends Biotechnol. 2016;34:605-608
Poirion O. B., Zhu X., Ching T. and Garmire L. Single-Cell Transcriptomics Bioinformatics and Computational Challenges. Frontiers in Genetics. 2016;7:163
Cheow L. F., Courtois E. T., Tan Y., et al. Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nat Methods. 2016;13:833-836
Picelli S. Single-cell RNA-sequencing: The future of genome biology is now. RNA Biol. 2016;1-14
Qian M., Wang D. C., Chen H. and Cheng Y. Detection of single cell heterogeneity in cancer. Semin Cell Dev Biol.
References:
Hou Y., Guo H., Cao C., Li X., Hu B., et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 2016;26:304-319
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History: scTrio-seq
Revision by sbrumpton on 2017-06-21 07:50:21 - Show/Hide
Single-Cell Triple Omics Sequencing
scTrio-Seq can analyze genomic CNVs, the DNA methylome, and the transcriptome of an individual mammalian cell simultaneousl. This approach is an extension of previous methods, such as scMT-seq (Hu et al., 2016)
Advantages:- Accurately analyzes the mechanism by which the transcriptome, genome, and DNA methylome regulate each other
- CNVs can be identified reliably using scRRBS data
Disadvantages:- Lower transcriptome coverage than scMT-seq
- Results in 3'-biased transcriptome
Reagents:Illumina Library prep and Array Kit SelectorReviews:Bock C., Farlik M. and Sheffield N. C. Multi-Omics of Single Cells: Strategies and Applications. Trends Biotechnol. 2016;34:605-608Poirion O. B., Zhu X., Ching T. and Garmire L. Single-Cell Transcriptomics Bioinformatics and Computational Challenges. Frontiers in Genetics. 2016;7:163Cheow L. F., Courtois E. T., Tan Y., et al. Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nat Methods. 2016;13:833-836Picelli S. Single-cell RNA-sequencing: The future of genome biology is now. RNA Biol. 2016;1-14Qian M., Wang D. C., Chen H. and Cheng Y. Detection of single cell heterogeneity in cancer. Semin Cell Dev Biol. References:Hou Y., Guo H., Cao C., Li X., Hu B., et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 2016;26:304-319