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Targeting T cell plasticity by pooled single cell CRISPR-screening in preclinical models of kidney and gut inflammation - Colitis experiment

ABSTRACT: Treatment of autoimmune diseases demands a shift from unspecific immunosuppression towards targeted therapies. This could be achieved by turning pro-inflammatory T helper (Th) cells into anti-inflammatory subsets. However, the molecular pathways involved in T cell plasticity and stability are not fully understood. Single cell CRISPR-screens are a powerful tool to simultaneously analyze the impact of multiple genes on cellular phenotypes. To investigate the molecules involved in T cell plasticity in disease settings, we established in vivo single cell CRISPR droplet sequencing (iCROP-seq). By applying this technique to in vivo models of inflammatory diseases in the intestine, we demonstrate that CRISPR-induced alterations in T cell polarization can be identified and ranked according to corresponding transcriptional perturbations. In particular, we targeted pro-inflammatory Th17 cells in models of immune-mediated diseases and quantified polarization biases into Th1 and regulatory T cells. These findings uncover Th17 to Th1 cell plasticity in the human kidney in the context of renal autoimmunity. iCROP-seq will facilitate the identification of therapeutic targets by highly efficient functional stratification of genes and pathways in a disease- and tissue-specific manner. This series contains the alternate sequencing of the original sample from the iCROP-seq colitis experiment. Original processed data which was used in the analysis presented in the publication can be found at Figshare (https://doi.org/10.6084/m9.figshare.28547528.v2).

ORGANISM(S): Mus musculus

PROVIDER: GSE298377 | GEO | 2025/06/02

REPOSITORIES: GEO

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Project description:Sanchez2017 - Inflammatory responses during acute hyperinsulinemia This model is described in the article: The CD4+ T cell regulatory network mediates inflammatory responses during acute hyperinsulinemia: a simulation study Mariana E. Martinez-Sanchez, Marcia Hiriart, Elena R. Alvarez-Buylla BMC Systems Biology Abstract: Obesity is frequently linked to insulin resistance, high insulin levels, chronic inflammation, and alterations in the behaviour of CD4+ T cells. Despite the biomedical importance of this condition, the system-level mechanisms that alter CD4+ T cell differentiation and plasticity are not well understood. We model how hyperinsulinemia alters the dynamics of the CD4+ T regulatory network, and this, in turn, modulates cell differentiation and plasticity. Different polarizing microenvironments are simulated under basal and high levels of insulin to assess impacts on cell-fate attainment and robustness in response to transient perturbations. In the presence of high levels of insulin Th1 and Th17 become more stable to transient perturbations, and their basin sizes are augmented, Tr1 cells become less stable or disappear, while TGF? producing cells remain unaltered. Hence, the model provides a dynamic system-level framework and explanation to further understand the documented and apparently paradoxical role of TGF? in both inflammation and regulation of immune responses, as well as the emergence of the adipose Treg phenotype. Furthermore, our simulations provide new predictions on the impact of the microenvironment in the coexistence of the different cell types, suggesting that in pro-Th1, pro-Th2 and pro-Th17 environments effector and regulatory cells can coexist, but that high levels of insulin severely diminish regulatory cells, especially in a pro-Th17 environment. This work provides a first step towards a system-level formal and dynamic framework to integrate further experimental data in the study of complex inflammatory diseases. This model is hosted on BioModels Database and identified by: MODEL1606020000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Inflammation is a beneficial host response to infection, but it also contributes to inflammatory disease if unregulated. The Th17 lineage of T helper (Th) cells can cause severe human inflammatory diseases. These cells exhibit both instability (i.e., they can cease to express their signature cytokine, IL-17A) and plasticity (i.e., they can start expressing cytokines typical of other lineages) upon in vitro re-stimulation. However technical limitations prevented the transcriptional profiling of pre- and post-conversion Th17 cells ex vivo during immune responses. Thus, it is unknown whether Th17 cell plasticity merely reflects change in expression of a few cytokines, or if Th17 cells physiologically undergo global genetic reprogramming driving their conversion from one T helper cell type to another, a process known as “transdifferentiation”. Furthermore, while Th17 cell instability/plasticity has been associated with pathogenicity, it is unknown whether this could present a therapeutic opportunity, whereby formerly pathogenic Th17 cells could adopt an anti-inflammatory fate. Here we used two novel fate-mapping mouse models to track Th17 cells during immune responses to show that CD4+ T cells that formerly expressed IL-17A go on to acquire an anti-inflammatory phenotype. The transdifferentiation of Th17 into regulatory T cells was illustrated by a global change in their transcriptome and the acquisition of potent regulatory capacity. Comparisons of the transcriptional profiles of pre- and post-conversion Th17 cells also revealed a role for canonical TGF- β signaling and the aryl hydrocarbon receptor (AhR) in conversion. Thus, Th17 transdifferentiate into regulatory cells, and contribute to the resolution of inflammation. Our data suggest Th17 cell instability and plasticity is a therapeutic opportunity for inflammatory diseases. We isolated intestinal lymphocytes from two independent experiments, each using 5 mice injected with anti-CD3 mAb. Th17, exTh17, Tr1 exTh17, Tr1, Foxp3 Treg and Foxp3 IL-10+ Treg cell populations were FACS-sorted from these two independent experiments and the cells of each population were pooled before the analysis. Around 5,000 cells for each population were processed.

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Targeting T cell plasticity by pooled single cell CRISPR-screening in preclinical models of kidney and gut inflammation - Colitis experiment

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