Literature DB >> 35829695

A CD4+ T cell reference map delineates subtype-specific adaptation during acute and chronic viral infections.

Thomas Ciucci1,2, Santiago J Carmona3,4,5, Massimo Andreatta3,4,5, Ariel Tjitropranoto1, Zachary Sherman1, Michael C Kelly6.   

Abstract

CD4+ T cells are critical orchestrators of immune responses against a large variety of pathogens, including viruses. While multiple CD4+ T cell subtypes and their key transcriptional regulators have been identified, there is a lack of consistent definition for CD4+ T cell transcriptional states. In addition, the progressive changes affecting CD4+ T cell subtypes during and after immune responses remain poorly defined. Using single-cell transcriptomics, we characterized the diversity of CD4+ T cells responding to self-resolving and chronic viral infections in mice. We built a comprehensive map of virus-specific CD4+ T cells and their evolution over time, and identified six major cell states consistently observed in acute and chronic infections. During the course of acute infections, T cell composition progressively changed from effector to memory states, with subtype-specific gene modules and kinetics. Conversely, in persistent infections T cells acquired distinct, chronicity-associated programs. By single-cell T cell receptor (TCR) analysis, we characterized the clonal structure of virus-specific CD4+ T cells across individuals. Virus-specific CD4+ T cell responses were essentially private across individuals and most T cells differentiated into both Tfh and Th1 subtypes irrespective of their TCR. Finally, we showed that our CD4+ T cell map can be used as a reference to accurately interpret cell states in external single-cell datasets across tissues and disease models. Overall, this study describes a previously unappreciated level of adaptation of the transcriptional states of CD4+ T cells responding to viruses and provides a new computational resource for CD4+ T cell analysis.

Entities:  

Keywords:  CD4 T cells; exhaustion; gene expression; immunology; inflammation; mouse; single-cell data science; single-cell transcriptomics; viral infection

Mesh:

Substances:

Year:  2022        PMID: 35829695      PMCID: PMC9323004          DOI: 10.7554/eLife.76339

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  59 in total

1.  Delineation of a molecularly distinct terminally differentiated memory CD8 T cell population.

Authors:  J Justin Milner; Hongtuyet Nguyen; Kyla Omilusik; Miguel Reina-Campos; Matthew Tsai; Clara Toma; Arnaud Delpoux; Brigid S Boland; Stephen M Hedrick; John T Chang; Ananda W Goldrath
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-25       Impact factor: 11.205

2.  The Emergence and Functional Fitness of Memory CD4+ T Cells Require the Transcription Factor Thpok.

Authors:  Thomas Ciucci; Melanie S Vacchio; Yayi Gao; Francesco Tomassoni Ardori; Julian Candia; Monika Mehta; Yongmei Zhao; Bao Tran; Marion Pepper; Lino Tessarollo; Dorian B McGavern; Rémy Bosselut
Journal:  Immunity       Date:  2019-01-09       Impact factor: 31.745

3.  Intrinsic functional dysregulation of CD4 T cells occurs rapidly following persistent viral infection.

Authors:  David G Brooks; Luc Teyton; Michael B A Oldstone; Dorian B McGavern
Journal:  J Virol       Date:  2005-08       Impact factor: 5.103

4.  Single naive CD4+ T cells from a diverse repertoire produce different effector cell types during infection.

Authors:  Noah J Tubo; Antonio J Pagán; Justin J Taylor; Ryan W Nelson; Jonathan L Linehan; James M Ertelt; Eric S Huseby; Sing Sing Way; Marc K Jenkins
Journal:  Cell       Date:  2013-05-09       Impact factor: 41.582

5.  Most microbe-specific naïve CD4⁺ T cells produce memory cells during infection.

Authors:  Noah J Tubo; Brian T Fife; Antonio J Pagan; Dmitri I Kotov; Michael F Goldberg; Marc K Jenkins
Journal:  Science       Date:  2016-01-29       Impact factor: 47.728

6.  Dependence on Bcl6 and Blimp1 drive distinct differentiation of murine memory and follicular helper CD4+ T cells.

Authors:  Thomas Ciucci; Melanie S Vacchio; Ting Chen; Jia Nie; Laura B Chopp; Dorian B McGavern; Michael C Kelly; Rémy Bosselut
Journal:  J Exp Med       Date:  2021-11-18       Impact factor: 17.579

7.  A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Authors:  Meromit Singer; Chao Wang; Le Cong; Nemanja D Marjanovic; Monika S Kowalczyk; Huiyuan Zhang; Jackson Nyman; Kaori Sakuishi; Sema Kurtulus; David Gennert; Junrong Xia; John Y H Kwon; James Nevin; Rebecca H Herbst; Itai Yanai; Orit Rozenblatt-Rosen; Vijay K Kuchroo; Aviv Regev; Ana C Anderson
Journal:  Cell       Date:  2016-09-08       Impact factor: 41.582

8.  Selection of genetic variants of lymphocytic choriomeningitis virus in spleens of persistently infected mice. Role in suppression of cytotoxic T lymphocyte response and viral persistence.

Authors:  R Ahmed; A Salmi; L D Butler; J M Chiller; M B Oldstone
Journal:  J Exp Med       Date:  1984-08-01       Impact factor: 14.307

9.  Opposing effects of T cell receptor signal strength on CD4 T cells responding to acute versus chronic viral infection.

Authors:  Marco Künzli; Peter Reuther; Daniel D Pinschewer; Carolyn G King
Journal:  Elife       Date:  2021-03-08       Impact factor: 8.140

10.  STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data.

Authors:  Massimo Andreatta; Santiago J Carmona
Journal:  Bioinformatics       Date:  2021-05-05       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.