Using single-cell multiple omics approaches to resolve tumor heterogeneity

Clinical and Translational Medicine

Thomas K. Wolfgruber¹  Sijia Huang¹  Michael A. Ortega¹  Olivier Poirion¹  Xun Zhu¹  Lana X. Garmire¹  Robert Sebra² 

[1] Cancer Epidemiology Program, University of Hawaii Cancer Center;Icahn Institute and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai;

关键词: Single-cell sequencing;    Cancer;    Mutation;    Gene expression;    Methylation;    Heterogeneity;   

DOI  :  10.1186/s40169-017-0177-y

来源: DOAJ

【 摘 要 】

Abstract It has become increasingly clear that both normal and cancer tissues are composed of heterogeneous populations. Genetic variation can be attributed to the downstream effects of inherited mutations, environmental factors, or inaccurately resolved errors in transcription and replication. When lesions occur in regions that confer a proliferative advantage, it can support clonal expansion, subclonal variation, and neoplastic progression. In this manner, the complex heterogeneous microenvironment of a tumour promotes the likelihood of angiogenesis and metastasis. Recent advances in next-generation sequencing and computational biology have utilized single-cell applications to build deep profiles of individual cells that are otherwise masked in bulk profiling. In addition, the development of new techniques for combining single-cell multi-omic strategies is providing a more precise understanding of factors contributing to cellular identity, function, and growth. Continuing advancements in single-cell technology and computational deconvolution of data will be critical for reconstructing patient specific intra-tumour features and developing more personalized cancer treatments.

【 授权许可】

Unknown