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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 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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