scholarly journals Posttranscriptional regulation of T helper cell fate decisions

2018 ◽  
Vol 217 (8) ◽  
pp. 2615-2631 ◽  
Author(s):  
Kai P. Hoefig ◽  
Vigo Heissmeyer

T helper cell subsets orchestrate context- and pathogen-specific responses of the immune system. They mostly do so by secreting specific cytokines that attract or induce activation and differentiation of other immune or nonimmune cells. The differentiation of T helper 1 (Th1), Th2, T follicular helper, Th17, and induced regulatory T cell subsets from naive T cells depends on the activation of intracellular signal transduction cascades. These cascades originate from T cell receptor and costimulatory receptor engagement and also receive critical input from cytokine receptors that sample the cytokine milieu within secondary lymphoid organs. Signal transduction then leads to the expression of subset-specifying transcription factors that, in concert with other transcription factors, up-regulate downstream signature genes. Although regulation of transcription is important, recent research has shown that posttranscriptional and posttranslational regulation can critically shape or even determine the outcome of Th cell differentiation. In this review, we describe how specific microRNAs, long noncoding RNAs, RNA-binding proteins, and ubiquitin-modifying enzymes regulate their targets to skew cell fate decisions.

2001 ◽  
Vol 193 (5) ◽  
pp. 643-650 ◽  
Author(s):  
J. David Farrar ◽  
Wenjun Ouyang ◽  
Max Löhning ◽  
Mario Assenmacher ◽  
Andreas Radbruch ◽  
...  

Although interleukin (IL)-12 and IL-4 polarize naive CD4+ T cells toward T helper cell type 1 (Th1) or Th2 phenotypes, it is not known whether cytokines instruct the developmental fate in uncommitted progenitors or select for outgrowth of cells that have stochastically committed to a particular fate. To distinguish these instructive and selective models, we used surface affinity matrix technology to isolate committed progenitors based on cytokine secretion phenotype and developed retroviral-based tagging approaches to directly monitor individual progenitor fate decisions at the clonal and population levels. We observe IL-4–dependent redirection of phenotype in cells that have already committed to a non–IL-4–producing fate, inconsistent with predictions of the selective model. Further, retroviral tagging of naive progenitors with the Th2-specific transcription factor GATA-3 provided direct evidence for instructive differentiation, and no evidence for the selective outgrowth of cells committed to either the Th1 or Th2 fate. These data would seem to exclude selection as an exclusive mechanism in Th1/Th2 differentiation, and support an instructive model of cytokine-driven transcriptional programming of cell fate decisions.


Blood ◽  
2010 ◽  
Vol 115 (15) ◽  
pp. 2989-2997 ◽  
Author(s):  
Natascha Hermann-Kleiter ◽  
Gottfried Baier

Abstract The Ca2+ dependent transcription factor family known as nuclear factor of activated T cells (NFAT) has been shown to be important in T-cell immune responses. Because NFAT proteins have a weak DNA-binding capacity, they cooperate with other transcription factors at composite sites within the promoters of target genes. Recently, NFAT was shown to also be important for the induction of specific genetic programs that guide the differentiation and effector or regulatory activities of CD4+ T helper subsets via the transcriptional regulation of their lineage-specific transcription factors, specifically T-bet (Th1), Gata3 (Th2), RORγt (Th17), and Foxp3 (iTregs). In addition, the NFAT family governs the transcription of several signature cytokines, including their cytokine receptors. Subsequently, the integration of these complex intracellular signal transduction cascades is considered to critically determine the crosstalk between the T-cell receptor and receptors that are activated by both the adaptive and innate immune systems to determine pathways of T helper cell differentiation and function. Here, we carefully review the critical role of the established transcriptional partners and functional outcomes of these NFAT interactions in regard to the effector responses of these clinically relevant CD4+ T helper subsets.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1746-1746
Author(s):  
Alicia Vaca ◽  
Mariela Sivina ◽  
Karen Clise-Dwyer ◽  
Ekaterina Kim ◽  
Michael J Keating ◽  
...  

Background: In secondary lymphatic organs (SLO), chronic lymphocytic leukemia (CLL) cells form characteristic pseudo-follicles, also called proliferation centers, in which proliferating CLL cells are in intimate contact with CD4+ T helper cells. Despite evidence for a co-evolution of CLL cells and counterpart T helper cells, the prevalence and dynamics of T cell subsets, such as T follicular helper cells (TFH), T regulatory helper cells (TRegs) and IL-17-producing T helper cells (Th17) has not been characterized in detail. The CLL nurselike cell (NLC) model recapitulates key cellular and molecular interactions between CLL cells and the microenvironment in SLO, based on functional and gene expression studies, and represents a valid in vitro model for the SLO microenvironment in CLL. To gain insight into the potential role of T cells in CLL SLO, we utilized the NLC model to characterize T helper cell subsets and their dynamics in NLC co-cultures. Methods and Results: First, we quantified CD4+ and CD8+ T cell subsets in fresh peripheral blood mononuclear cell (PBMC) samples from 14 patients and then placed 1x107 PBMCs/ml in culture to establish NLC. We rechecked the relative proportion of CD4+ and CD8+ T cells, as well as absolute T cell counts, and their viability after 3, 6, 9, 12 and 14 days in NLC co-culture conditions. Interestingly, throughout the 14 days of culture, the number of T helper cells remained stable when compared to baseline samples. Next, we characterized T helper cell subsets in 25 different CLL samples, comparing CD4+ T cell subsets in freshly isolated CLL PBMC with matched samples harvested after 14 days of NLC culture. Samples were stained with subset-specific fluorescence-labeled antibody combinations, and analyzed by flow cytometry. NLC co-culture resulted in a significant expansion of TFH and TReg cells. TFH absolute cell counts assessed by flow cytometry using counting beads, increased from 9.4±2.2/μl at baseline to 29.0±5.9/μl in NLC co-cultures (n=14, p=0.001) and TReg from 17.0±3.3/μl to 51.0±15.0/μl (n=14, p=0.027). In contrast, Th17 absolute cell counts declined after 14 days of culture from 113.0±21.0/μl to 68.0±13.0/μl (n=14, p=0.001). Moreover, TH2 cells declined from 42.0±7.4/μl to 30.0±8.2/μl (n=14, p=0.005). Next, we analyzed for changes in TFH subsets (TFH1, TFH2 and TFH17). When compared to TFH cells from CLL PBMC, NLC culture resulted in a relative increase in TFH2 from 17.0±2.4% to 26.0±1.7% (n=25, p=0.013), and in TFH17 from 12.0±1.6% to 21.0±2.7% (n=25, p=0.006) In contrast, TFH1 frequency decreased after 14 days of culture (54.0±3.5% versus 34.0±2.9%, n=25, p=0.001). T follicular regulatory (TFr) cells also increase under co-culture conditions from undetectable to 4.8±1.9% (n=25, p=0.025)(Figure1). Looking at the maturity of CD4+ cells we noted a relative increase of central memory cells from 42.0±3.2% to 50.0±3.2% (n=25, p=0.023), whereas effector memory cells decreased from 34.0±3.4% to 26.0±2.7% (n=25, p=0.009), the fraction of naïve CD4+ cells remained unchanged. Next, we assessed the activation status of co-inhibitory receptors on CD3+CD4+ cells. We found a significant relative increase in CD4+ T cells expressing PD1 and CTLA-4 after 14 days of culture. Additionally, the TFH and TReg subsets demonstrated a significantly higher CTLA-4 expression after culture while TReg cells also addressed an increase in PD1 frequency. Furthermore, we observed a significantly higher CD28 expression on TFH and TReg subsets after 14 days of co-culture. Following, to address the residence and migration capacity of T cells in NLC co-cultures, we analyzed the CD69 and CD62L expression. Our results revealed significantly higher expression of CD69 in NLC co-cultures, whereas CD62L levels remained unchanged. Conclusion: The expansion of TFH and TReg cells in NLC co-cultures suggests the selection and clonal expansion of T cells that may support and engage in crosstalk with CLL cells. Additionally, the expansion of TFr and TFH17 cells could reflect a milieu of immune tolerance establishing in NLC co-cultures. Ongoing TCR sequencing of serial CD4+ T cell samples (baseline versus 14 days under NLC conditions) will characterize changes of clonal architecture in the T helper cell compartment, and will further improve our understanding of co-evolution of CLL and T helper cells. Disclosures Wierda: Gilead Sciences: Research Funding; Juno Therapeutics: Research Funding; KITE pharma: Research Funding; Sunesis: Research Funding; Miragen: Research Funding; Janssen: Research Funding; Xencor: Research Funding; Acerta Pharma Inc: Research Funding; Pharmacyclics LLC: Research Funding; Genentech: Research Funding; AbbVie: Research Funding; GSK/Novartis: Research Funding; Oncternal Therapeutics Inc.: Research Funding; Cyclcel: Research Funding; Loxo Oncology Inc.: Research Funding. Burger:Aptose Biosciences, Inc: Research Funding; BeiGene: Research Funding; Gilead Sciences: Research Funding; AstraZeneca: Honoraria; Janssen Pharmaceuticals: Consultancy, Honoraria; Pharmacyclics, an AbbVie company: Research Funding.


PLoS ONE ◽  
2011 ◽  
Vol 6 (12) ◽  
pp. e28198 ◽  
Author(s):  
Meghan A. Jendrysik ◽  
Sam Vasilevsky ◽  
Liang Yi ◽  
Adam Wood ◽  
Nannan Zhu ◽  
...  

1993 ◽  
Vol 67 (6) ◽  
pp. 3680-3683 ◽  
Author(s):  
T M Kündig ◽  
I Castelmur ◽  
M F Bachmann ◽  
D Abraham ◽  
D Binder ◽  
...  

Cell ◽  
2021 ◽  
Vol 184 (16) ◽  
pp. 4109-4112
Author(s):  
Hao Shi ◽  
Hongbo Chi
Keyword(s):  

1988 ◽  
Vol 15 (1-3) ◽  
pp. 169-174 ◽  
Author(s):  
U. Hämmerling ◽  
M. Toulon ◽  
R. G. E. Palfree ◽  
M. K. Hoffmann

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