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Transcript-indexed ATAC-seq for precision immune profiling

T cells create vast amounts of diversity in their T cell receptor (TCR) genes, enabling individual clones to recognize specific peptide-MHC ligands. Here we combine TCR sequencing and assay for transposase-accessible chromatin analysis at the single-cell level to provide information on the TCR speci...

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Autores principales: Satpathy, Ansuman T., Saligrama, Naresha, Buenrostro, Jason D., Wei, Yuning, Wu, Beijing, Rubin, Adam J., Granja, Jeffrey M., Lareau, Caleb A., Li, Rui, Qi, Yanyan, Parker, Kevin R., Mumbach, Maxwell R., Serratelli, William S., Gennert, David G., Schep, Alicia N., Corces, M. Ryan, Khodadoust, Michael S., Kim, Youn H., Khavari, Paul A., Greenleaf, William J., Davis, Mark M., Chang, Howard Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948148/
https://www.ncbi.nlm.nih.gov/pubmed/29686426
http://dx.doi.org/10.1038/s41591-018-0008-8
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author Satpathy, Ansuman T.
Saligrama, Naresha
Buenrostro, Jason D.
Wei, Yuning
Wu, Beijing
Rubin, Adam J.
Granja, Jeffrey M.
Lareau, Caleb A.
Li, Rui
Qi, Yanyan
Parker, Kevin R.
Mumbach, Maxwell R.
Serratelli, William S.
Gennert, David G.
Schep, Alicia N.
Corces, M. Ryan
Khodadoust, Michael S.
Kim, Youn H.
Khavari, Paul A.
Greenleaf, William J.
Davis, Mark M.
Chang, Howard Y.
author_facet Satpathy, Ansuman T.
Saligrama, Naresha
Buenrostro, Jason D.
Wei, Yuning
Wu, Beijing
Rubin, Adam J.
Granja, Jeffrey M.
Lareau, Caleb A.
Li, Rui
Qi, Yanyan
Parker, Kevin R.
Mumbach, Maxwell R.
Serratelli, William S.
Gennert, David G.
Schep, Alicia N.
Corces, M. Ryan
Khodadoust, Michael S.
Kim, Youn H.
Khavari, Paul A.
Greenleaf, William J.
Davis, Mark M.
Chang, Howard Y.
author_sort Satpathy, Ansuman T.
collection PubMed
description T cells create vast amounts of diversity in their T cell receptor (TCR) genes, enabling individual clones to recognize specific peptide-MHC ligands. Here we combine TCR sequencing and assay for transposase-accessible chromatin analysis at the single-cell level to provide information on the TCR specificity and epigenomic state of individual T cells. Using this approach, termed Transcript-indexed ATAC-seq (T-ATAC-seq), we identify epigenomic signatures in immortalized leukemic T cells, primary human T cells from healthy volunteers, and primary leukemic T cells from patient samples. In healthy peripheral blood CD4(+) T cells, we identify cis and trans regulators of naive and memory T cell states and find substantial heterogeneity in surface marker-defined T cell populations. In patients with cutaneous T cell lymphoma, T-ATAC-seq enabled identification of leukemic and non-leukemic regulatory pathways in T cells from the same individual, separating signals arising from the malignant clone from background T cell noise. Thus, T-ATAC-seq is a new tool that enables analysis of epigenomic landscapes in clonal T cells and should be valuable for studies of T cell malignancy, immunity, and immunotherapy.
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spelling pubmed-59481482018-10-23 Transcript-indexed ATAC-seq for precision immune profiling Satpathy, Ansuman T. Saligrama, Naresha Buenrostro, Jason D. Wei, Yuning Wu, Beijing Rubin, Adam J. Granja, Jeffrey M. Lareau, Caleb A. Li, Rui Qi, Yanyan Parker, Kevin R. Mumbach, Maxwell R. Serratelli, William S. Gennert, David G. Schep, Alicia N. Corces, M. Ryan Khodadoust, Michael S. Kim, Youn H. Khavari, Paul A. Greenleaf, William J. Davis, Mark M. Chang, Howard Y. Nat Med Article T cells create vast amounts of diversity in their T cell receptor (TCR) genes, enabling individual clones to recognize specific peptide-MHC ligands. Here we combine TCR sequencing and assay for transposase-accessible chromatin analysis at the single-cell level to provide information on the TCR specificity and epigenomic state of individual T cells. Using this approach, termed Transcript-indexed ATAC-seq (T-ATAC-seq), we identify epigenomic signatures in immortalized leukemic T cells, primary human T cells from healthy volunteers, and primary leukemic T cells from patient samples. In healthy peripheral blood CD4(+) T cells, we identify cis and trans regulators of naive and memory T cell states and find substantial heterogeneity in surface marker-defined T cell populations. In patients with cutaneous T cell lymphoma, T-ATAC-seq enabled identification of leukemic and non-leukemic regulatory pathways in T cells from the same individual, separating signals arising from the malignant clone from background T cell noise. Thus, T-ATAC-seq is a new tool that enables analysis of epigenomic landscapes in clonal T cells and should be valuable for studies of T cell malignancy, immunity, and immunotherapy. 2018-04-23 2018-05 /pmc/articles/PMC5948148/ /pubmed/29686426 http://dx.doi.org/10.1038/s41591-018-0008-8 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Satpathy, Ansuman T.
Saligrama, Naresha
Buenrostro, Jason D.
Wei, Yuning
Wu, Beijing
Rubin, Adam J.
Granja, Jeffrey M.
Lareau, Caleb A.
Li, Rui
Qi, Yanyan
Parker, Kevin R.
Mumbach, Maxwell R.
Serratelli, William S.
Gennert, David G.
Schep, Alicia N.
Corces, M. Ryan
Khodadoust, Michael S.
Kim, Youn H.
Khavari, Paul A.
Greenleaf, William J.
Davis, Mark M.
Chang, Howard Y.
Transcript-indexed ATAC-seq for precision immune profiling
title Transcript-indexed ATAC-seq for precision immune profiling
title_full Transcript-indexed ATAC-seq for precision immune profiling
title_fullStr Transcript-indexed ATAC-seq for precision immune profiling
title_full_unstemmed Transcript-indexed ATAC-seq for precision immune profiling
title_short Transcript-indexed ATAC-seq for precision immune profiling
title_sort transcript-indexed atac-seq for precision immune profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948148/
https://www.ncbi.nlm.nih.gov/pubmed/29686426
http://dx.doi.org/10.1038/s41591-018-0008-8
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