Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies
N. de Vries, Ahmed Mahfouz, Frits Koning, Noel F.C.C. de Miranda
Abstract
detection of transcripts. In this Review, we describe the rise of multidimensional single-cell technologies and provide an overview of their strengths and weaknesses. In addition, we discuss the integration of transcriptomic, genomic, epigenomic, proteomic, and spatially-resolved data in the context of human cancers. Lastly, we will deliberate on how the integration of multi-omics data will help to shed light on the complex role of cell types present within the human tumor microenvironment, and how such system-wide approaches may pave the way toward more effective therapies for the treatment of cancer.
Topics & Concepts
Mass cytometryMulticellular organismTumor microenvironmentContext (archaeology)Flow cytometryComputational biologyBiologyCancerCellCell biologyImmunologyGeneticsPhenotypeGenePaleontologySingle-cell and spatial transcriptomicsCancer Genomics and DiagnosticsCell Image Analysis Techniques