Lymphocyte innateness defined by transcriptional states reflects a balance between proliferation and effector functions.

Autor: Gutierrez-Arcelus M; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Teslovich N; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Mola AR; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Polidoro RB; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Nathan A; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Kim H; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Hannes S; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Slowikowski K; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Watts GFM; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Korsunsky I; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Brenner MB; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA., Raychaudhuri S; Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, 02115. soumya@broadinstitute.org.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA. soumya@broadinstitute.org.; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. soumya@broadinstitute.org.; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. soumya@broadinstitute.org.; Faculty of Medical and Human Sciences, University of Manchester, Manchester, M13 9PL, UK. soumya@broadinstitute.org., Brennan PJ; Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. pbrennan3@bwh.harvard.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2019 Feb 08; Vol. 10 (1), pp. 687. Date of Electronic Publication: 2019 Feb 08.
DOI: 10.1038/s41467-019-08604-4
Abstrakt: How innate T cells (ITC), including invariant natural killer T (iNKT) cells, mucosal-associated invariant T (MAIT) cells, and γδ T cells, maintain a poised effector state has been unclear. Here we address this question using low-input and single-cell RNA-seq of human lymphocyte populations. Unbiased transcriptomic analyses uncover a continuous 'innateness gradient', with adaptive T cells at one end, followed by MAIT, iNKT, γδ T and natural killer cells at the other end. Single-cell RNA-seq reveals four broad states of innateness, and heterogeneity within canonical innate and adaptive populations. Transcriptional and functional data show that innateness is characterized by pre-formed mRNA encoding effector functions, but impaired proliferation marked by decreased baseline expression of ribosomal genes. Together, our data shed new light on the poised state of ITC, in which innateness is defined by a transcriptionally-orchestrated trade-off between rapid cell growth and rapid effector function.
Databáze: MEDLINE