Current Challenges in Cell-Type Discovery Through Single-Cell Data

Autor: De Vargas Roditi Laura, Macnair Will, Claassen Manfred
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: ITM Web of Conferences, Vol 5, p 00010 (2015)
Druh dokumentu: article
ISSN: 2271-2097
DOI: 10.1051/itmconf/20150500010
Popis: Single cell sequencing and proteome profiling efforts in the past few years have revealed widespread genetic and proteomic heterogeneity among tumor cells. However, sensible cell-type definition of such heterogeneous cell populations has so far been a challenging task. Single cell technologies such as RNA sequencing and mass cytometry provide information precluded by conventional bulk measurements and have achieved significant improvements in multiparametricity at high cellular throughput. By combining these technologies with computational and mathematical techniques it is possible to quantitatively define cellular heterogeneity, uncovering distinct phenotypic profiles that can be utilized to, for example, characterize tumor heterogeneity with the potential to develop and improve therapeutic strategies.
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