Massively parallel quantification of phenotypic heterogeneity in single-cell drug responses.
Date
2021-09-17
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Abstract
[Figure: see text].
Type
Department
Description
Provenance
Subjects
Citation
Permalink
Published Version (Please cite this version)
Publication Info
Yellen, Benjamin B, Jon S Zawistowski, Eric A Czech, Caleb I Sanford, Elliott D SoRelle, Micah A Luftig, Zachary G Forbes, Kris C Wood, et al. (2021). Massively parallel quantification of phenotypic heterogeneity in single-cell drug responses. Sci Adv, 7(38). p. eabf9840. 10.1126/sciadv.abf9840 Retrieved from https://hdl.handle.net/10161/23877.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Collections
Scholars@Duke
![Sorelle](https://scholars.duke.edu/profile-images/thumbnail200/0585297.jpg)
Elliott Sorelle
![Luftig](https://scholars.duke.edu/profile-images/thumbnail200/0457783.jpg)
Micah Alan Luftig
The Luftig laboratory studies viruses that cause cancer with an overarching goal of defining the basic molecular mechanisms underlying pathogenesis and leveraging these findings for diagnostic value and therapeutic intervention. Our work primarily focuses on the common herpesvirus, Epstein-Barr virus (EBV). This virus latently infects virtually all adults worldwide being acquired early in life. In the immune suppressed, EBV promotes lymphomas in the B cells that it naturally infects. However, EBV can also infect epithelial cells and other lymphocytes contributing to human cancers as wide-ranging as nasopharyngeal and gastric carcinoma to aggressive NK/T-cell, Burkitt, and Hodgkin lymphomas. Overall, EBV contributes to approximately 2% of all human cancers worldwide leading to nearly 200,000 deaths annually.
We use cutting-edge, cross-disciplinary and highly collaborative approaches to characterize the temporal dynamics and single cell heterogeneity of EBV infection. With these strategies, we aim to discover fundamental molecular circuits underlying transcriptional control, viral manipulation of host signaling pathways, and metabolic regulation that collectively influence infected cell fate decisions. By understanding the nature of viral control of infected host cells, we are also well positioned to discover vulnerabilities in EBV-associated diseases and characterize new therapeutic interventions in cell-based and pre-clinical animal models.
![Wood](https://scholars.duke.edu/profile-images/thumbnail200/0597734.jpg)
Kris Cameron Wood
Our laboratory uses genomic and pharmacological approaches to understand how tumor dependencies are shaped by cell intrinsic factors, environmental factors, and drug treatments during the dynamic process of tumor evolution. To learn more, please visit our laboratory website: https://woodlabduke.com/.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.