@article{097526fa44ec4a20ab8981be91b7ab24,
title = "Clonal enrichments of Vδ2-γδ T cells in Mycobacterium tuberculosis-infected human lungs",
abstract = "Unconventional T cell subsets, including donor-unrestricted T cells (DURTs) and γδ T cells, are promising new players in the treatment and prevention of infectious diseases. In this issue of the JCI, Ogongo et al. used T cell receptor (TCR) sequencing to characterize unconventional T cell subsets in surgical lung resections and blood from Mycobacterium tuberculosis-infected (Mtb-infected) individuals with and without HIV coinfection. The study revealed highly localized expansions of γδ T cell clonotypes not previously associated with the immune response to Mtb and demonstrates the power of high-throughput analysis of the TCR repertoire directly from infected tissue. The findings contribute to our understanding of tuberculosis control and have implications for the development of both therapeutic and vaccination strategies.",
author = "Kulicke, {Corinna A.} and Lewinsohn, {Deborah A.} and Lewinsohn, {David M.}",
note = "Funding Information: We apologize to those colleagues whose work we could not cite due to space constraints. This work was supported by VA Merit Award I01BX000533 (to DML); NIH grant R01 AI134790 (to DML and DAL); and NIH grant R01 AI129980 (to DML and DAL). The contents do not represent the views of the US Department of Veterans Affairs or the United States Government.*%blankline%**%blankline%* Funding Information: We apologize to those colleagues whose work we could not cite due to space con straints. This work was supported by VA Merit Award I01BX000533 (to DML); NIH grant R01 AI134790 (to DML and DAL); and NIH grant R01 AI129980 (to DML and DAL). The contents do not rep resent the views of the US Department of Veterans Affairs or the United States Government. Publisher Copyright: {\textcopyright} 2020, American Society for Clinical Investigation.",
year = "2020",
month = jan,
day = "2",
doi = "10.1172/JCI133119",
language = "English (US)",
volume = "130",
pages = "68--70",
journal = "Journal of Clinical Investigation",
issn = "0021-9738",
publisher = "The American Society for Clinical Investigation",
number = "1",
}