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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BioMed Central
2018-12-01
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Series: | Genomics & Informatics |
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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. |
format | Article |
id | doaj-art-5545c3ae9b3d4f019b8a59c77be753f8 |
institution | Kabale University |
issn | 2234-0742 |
language | English |
publishDate | 2018-12-01 |
publisher | BioMed Central |
record_format | Article |
series | Genomics & Informatics |
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 |