Literature DB >> 18641323

Identification of an evolutionarily conserved transcriptional signature of CD8 memory differentiation that is shared by T and B cells.

W Nicholas Haining1, Benjamin L Ebert, Aravind Subrmanian, E John Wherry, Quentin Eichbaum, John W Evans, Raymond Mak, Stephen Rivoli, Jennifer Pretz, Jill Angelosanto, John S Smutko, Bruce D Walker, Susan M Kaech, Rafi Ahmed, Lee M Nadler, Todd R Golub.   

Abstract

After Ag encounter, naive lymphocytes differentiate into populations of memory cells that share a common set of functions including faster response to Ag re-exposure and the ability to self-renew. However, memory lymphocytes in different lymphocyte lineages are functionally and phenotypically diverse. It is not known whether discrete populations of T and B cells use similar transcriptional programs during differentiation into the memory state. We used cross-species genomic analysis to examine the pattern of genes up-regulated during the differentiation of naive lymphocytes into memory cells in multiple populations of human CD4, CD8, and B cell lymphocytes as well as two mouse models of memory development. We identified and validated a signature of genes that was up-regulated in memory cells compared with naive cells in both human and mouse CD8 memory differentiation, suggesting marked evolutionary conservation of this transcriptional program. Surprisingly, this conserved CD8 differentiation signature was also up-regulated during memory differentiation in CD4 and B cell lineages. To validate the biologic significance of this signature, we showed that alterations in this signature of genes could distinguish between functional and exhausted CD8 T cells from a mouse model of chronic viral infection. Finally, we generated genome-wide microarray data from tetramer-sorted human T cells and showed profound differences in this differentiation signature between T cells specific for HIV and those specific for influenza. Thus, our data suggest that in addition to lineage-specific differentiation programs, T and B lymphocytes use a common transcriptional program during memory development that is disrupted in chronic viral infection.

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Year:  2008        PMID: 18641323      PMCID: PMC3771862          DOI: 10.4049/jimmunol.181.3.1859

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  48 in total

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3.  Memory T and memory B cells share a transcriptional program of self-renewal with long-term hematopoietic stem cells.

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4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Longitudinal studies of clonally expanded CD8 T cells reveal a repertoire shrinkage predicting mortality and an increased number of dysfunctional cytomegalovirus-specific T cells in the very elderly.

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Authors:  T R Golub; D K Slonim; P Tamayo; C Huard; M Gaasenbeek; J P Mesirov; H Coller; M L Loh; J R Downing; M A Caligiuri; C D Bloomfield; E S Lander
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7.  An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis.

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8.  Restoring function in exhausted CD8 T cells during chronic viral infection.

Authors:  Daniel L Barber; E John Wherry; David Masopust; Baogong Zhu; James P Allison; Arlene H Sharpe; Gordon J Freeman; Rafi Ahmed
Journal:  Nature       Date:  2005-12-28       Impact factor: 49.962

9.  The molecular program induced in T cells undergoing homeostatic proliferation.

Authors:  Ananda W Goldrath; C John Luckey; Richard Park; Christophe Benoist; Diane Mathis
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-17       Impact factor: 11.205

10.  Molecular signatures distinguish human central memory from effector memory CD8 T cell subsets.

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  44 in total

1.  Dynamic bookmarking of primary response genes by p300 and RNA polymerase II complexes.

Authors:  Jung S Byun; Madeline M Wong; Wenwu Cui; Gila Idelman; Quentin Li; Adriana De Siervi; Sven Bilke; Cynthia M Haggerty; Audrey Player; Yong Hong Wang; Michael J Thirman; Joseph J Kaberlein; Constantinos Petrovas; Richard A Koup; Dan Longo; Keiko Ozato; Kevin Gardner
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-30       Impact factor: 11.205

2.  IL-12 selectively programs effector pathways that are stably expressed in human CD8+ effector memory T cells in vivo.

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Review 3.  The molecular basis of the memory T cell response: differential gene expression and its epigenetic regulation.

Authors:  Nan-ping Weng; Yasuto Araki; Kalpana Subedi
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Review 4.  T cell exhaustion during persistent viral infections.

Authors:  Shannon M Kahan; E John Wherry; Allan J Zajac
Journal:  Virology       Date:  2015-01-22       Impact factor: 3.616

5.  Antigen availability determines CD8⁺ T cell-dendritic cell interaction kinetics and memory fate decisions.

Authors:  Sarah E Henrickson; Mario Perro; Scott M Loughhead; Balimkiz Senman; Susanne Stutte; Michael Quigley; Gabriela Alexe; Matteo Iannacone; Michael P Flynn; Shaida Omid; Jonathan L Jesneck; Sabrina Imam; Thorsten R Mempel; Irina B Mazo; W Nicholas Haining; Ulrich H von Andrian
Journal:  Immunity       Date:  2013-09-19       Impact factor: 31.745

Review 6.  Memories that last forever: strategies for optimizing vaccine T-cell memory.

Authors:  Jeffrey D Ahlers; Igor M Belyakov
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Review 7.  Assessing the human immune system through blood transcriptomics.

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Review 8.  Anti-viral CD8 T cells and the cytokines that they love.

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9.  A distinct subset of self-renewing human memory CD8+ T cells survives cytotoxic chemotherapy.

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10.  Molecular signature of cell cycle exit induced in human T lymphoblasts by IL-2 withdrawal.

Authors:  Magdalena Chechlinska; Jan Konrad Siwicki; Monika Gos; Malgorzata Oczko-Wojciechowska; Michal Jarzab; Aleksandra Pfeifer; Barbara Jarzab; Jan Steffen
Journal:  BMC Genomics       Date:  2009-06-08       Impact factor: 3.969

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