Transcriptomes of the B and T lineages compared by multiplatform microarray profiling
T and B lymphocytes are developmentally and functionally related cells of the immune system, representing the two major branches of adaptive immunity. Although originating from a common precursor, they play very different roles: T cells contribute to and drive cell-mediated immunity, whereas B cells...
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American Association of Immunologists, Inc.
2013
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Online Access: | http://hdl.handle.net/1721.1/77188 https://orcid.org/0000-0001-8567-2049 |
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author | Painter, Michio W. Davis, Scott Hardy, Richard R. Mathis, Diane Benoist, Christophe Immunological Genome Project Consortium |
author2 | Massachusetts Institute of Technology. Department of Biology |
author_facet | Massachusetts Institute of Technology. Department of Biology Painter, Michio W. Davis, Scott Hardy, Richard R. Mathis, Diane Benoist, Christophe Immunological Genome Project Consortium |
author_sort | Painter, Michio W. |
collection | MIT |
description | T and B lymphocytes are developmentally and functionally related cells of the immune system, representing the two major branches of adaptive immunity. Although originating from a common precursor, they play very different roles: T cells contribute to and drive cell-mediated immunity, whereas B cells secrete Abs. Because of their functional importance and well-characterized differentiation pathways, T and B lymphocytes are ideal cell types with which to understand how functional differences are encoded at the transcriptional level. Although there has been a great deal of interest in defining regulatory factors that distinguish T and B cells, a truly genomewide view of the transcriptional differences between these two cells types has not yet been taken. To obtain a more global perspective of the transcriptional differences underlying T and B cells, we exploited the statistical power of combinatorial profiling on different microarray platforms, and the breadth of the Immunological Genome Project gene expression database, to generate robust differential signatures. We find that differential expression in T and B cells is pervasive, with the majority of transcripts showing statistically significant differences. These distinguishing characteristics are acquired gradually, through all stages of B and T differentiation. In contrast, very few T versus B signature genes are uniquely expressed in these lineages, but are shared throughout immune cells. |
first_indexed | 2024-09-23T16:06:22Z |
format | Article |
id | mit-1721.1/77188 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T16:06:22Z |
publishDate | 2013 |
publisher | American Association of Immunologists, Inc. |
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spelling | mit-1721.1/771882022-10-02T06:20:29Z Transcriptomes of the B and T lineages compared by multiplatform microarray profiling Painter, Michio W. Davis, Scott Hardy, Richard R. Mathis, Diane Benoist, Christophe Immunological Genome Project Consortium Massachusetts Institute of Technology. Department of Biology Regev, Aviv T and B lymphocytes are developmentally and functionally related cells of the immune system, representing the two major branches of adaptive immunity. Although originating from a common precursor, they play very different roles: T cells contribute to and drive cell-mediated immunity, whereas B cells secrete Abs. Because of their functional importance and well-characterized differentiation pathways, T and B lymphocytes are ideal cell types with which to understand how functional differences are encoded at the transcriptional level. Although there has been a great deal of interest in defining regulatory factors that distinguish T and B cells, a truly genomewide view of the transcriptional differences between these two cells types has not yet been taken. To obtain a more global perspective of the transcriptional differences underlying T and B cells, we exploited the statistical power of combinatorial profiling on different microarray platforms, and the breadth of the Immunological Genome Project gene expression database, to generate robust differential signatures. We find that differential expression in T and B cells is pervasive, with the majority of transcripts showing statistically significant differences. These distinguishing characteristics are acquired gradually, through all stages of B and T differentiation. In contrast, very few T versus B signature genes are uniquely expressed in these lineages, but are shared throughout immune cells. National Institute of Allergy and Infectious Diseases (U.S.) (National Institutes of Health (R24 AI072073) 2013-02-21T19:58:49Z 2013-02-21T19:58:49Z 2011-02 2010-08 Article http://purl.org/eprint/type/JournalArticle 0022-1767 1550-6606 http://hdl.handle.net/1721.1/77188 Painter, M. W. et al. “Transcriptomes of the B and T Lineages Compared by Multiplatform Microarray Profiling.” The Journal of Immunology 186.5 (2011): 3047–3057. CrossRef. Web. https://orcid.org/0000-0001-8567-2049 en_US http://dx.doi.org/10.4049/jimmunol.1002695 Journal of Immunology Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf American Association of Immunologists, Inc. PMC |
spellingShingle | Painter, Michio W. Davis, Scott Hardy, Richard R. Mathis, Diane Benoist, Christophe Immunological Genome Project Consortium Transcriptomes of the B and T lineages compared by multiplatform microarray profiling |
title | Transcriptomes of the B and T lineages compared by multiplatform microarray profiling |
title_full | Transcriptomes of the B and T lineages compared by multiplatform microarray profiling |
title_fullStr | Transcriptomes of the B and T lineages compared by multiplatform microarray profiling |
title_full_unstemmed | Transcriptomes of the B and T lineages compared by multiplatform microarray profiling |
title_short | Transcriptomes of the B and T lineages compared by multiplatform microarray profiling |
title_sort | transcriptomes of the b and t lineages compared by multiplatform microarray profiling |
url | http://hdl.handle.net/1721.1/77188 https://orcid.org/0000-0001-8567-2049 |
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