ITM Web of Conferences
Volume 5, 2015Workshop on Multiscale and Hybrid Modelling in Cell and Cell Population Biology
|Number of page(s)||3|
|Published online||11 December 2015|
Current Challenges in Cell-Type Discovery Through Single-Cell Data
1 Institute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, 8093 Zurich, Switzerland
2 Swiss Institute of Bioinformatics (SIB), Zurich, Switzerland
a e-mail: email@example.com
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.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.