Single-cell technologies for monitoring immune systems
Name
nihms582539.pdf
Description
Accepted version
Size
1006.26 KB
Format
Adobe PDF
Checksum (MD5)
4a8718ab2e0e791caa7ebad3bae09c7a
Author(s)
Chattopadhyay, Pratip K
Gierahn, Todd M
Roederer, Mario
Love, J Christopher
Date Issued
2014
Journal
Nature Immunology
Publisher
Springer Science and Business Media LLC
Version
Author's final manuscript
Abstract
The complex heterogeneity of cells, and their interconnectedness with each other, are major challenges to identifying clinically relevant measurements that reflect the state and capability of the immune system. Highly multiplexed, single-cell technologies may be critical for identifying correlates of disease or immunological interventions as well as for elucidating the underlying mechanisms of immunity. Here we review limitations of bulk measurements and explore advances in single-cell technologies that overcome these problems by expanding the depth and breadth of functional and phenotypic analysis in space and time. The geometric increases in complexity of data make formidable hurdles for exploring, analyzing and presenting results. We summarize recent approaches to making such computations tractable and discuss challenges for integrating heterogeneous data obtained using these single-cell technologies. © 2014 Nature America, Inc.
MIT Department
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/NI.2796
