Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools

Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-r...

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Main Authors: Michael C. Sierant, Jungmin Choi
Format: Article
Language:English
Published: BioMed Central 2018-12-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gi-2018-16-4-e17.pdf
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author Michael C. Sierant
Jungmin Choi
author_facet Michael C. Sierant
Jungmin Choi
author_sort Michael C. Sierant
collection DOAJ
description Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.
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spelling doaj-art-5545c3ae9b3d4f019b8a59c77be753f82025-02-02T02:30:09ZengBioMed CentralGenomics & Informatics2234-07422018-12-0116410.5808/GI.2018.16.4.e17522Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics ToolsMichael C. Sierant0Jungmin Choi1 Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USATumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.http://genominfo.org/upload/pdf/gi-2018-16-4-e17.pdfcomputational biologyepigenomicsgenetic heterogeneityimmunotherapyneoplasmssingle-cell analysis
spellingShingle Michael C. Sierant
Jungmin Choi
Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
Genomics & Informatics
computational biology
epigenomics
genetic heterogeneity
immunotherapy
neoplasms
single-cell analysis
title Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
title_full Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
title_fullStr Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
title_full_unstemmed Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
title_short Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
title_sort single cell sequencing in cancer recent applications to immunogenomics and multi omics tools
topic computational biology
epigenomics
genetic heterogeneity
immunotherapy
neoplasms
single-cell analysis
url http://genominfo.org/upload/pdf/gi-2018-16-4-e17.pdf
work_keys_str_mv AT michaelcsierant singlecellsequencingincancerrecentapplicationstoimmunogenomicsandmultiomicstools
AT jungminchoi singlecellsequencingincancerrecentapplicationstoimmunogenomicsandmultiomicstools