bioRxivImmunologyPreprint
Single-Cell Atlas of CD4+ T-Helper 2 Cells Reveals Distinct Cytokine Functions Across Diseases
Sa Vo, Maria SupruniD, Han Do, My Ngo, Rajesh R. Rao, Saurabh V. LaddhaiD, Marta Ewa PolakiD, Calixte S. MonastiD, Son Truong PhamiD
Abstract
Despite the prevalence of autoimmune diseases, treatment options for specific conditions remain limited. These diseases are driven by three types of inflammatory pathways, each orchestrated by different T-helper cell subsets; however, a comprehensive atlas capturing their diverse functions across conditions and tissues is lacking. One of these subsets, CD4+ T-helper type 2 (Th2) cells, is a relatively infrequent immune cell population that plays a central role in orchestrating type 2 inflammation. In this study, we developed the first comprehensive CD4+Th2 single-cell atlas by analyzing the BioTuring database, which has data from over 300 million cells. This atlas integrates data from 52 studies, comprising a total of 39,243 cells derived from 9 major tissues, representing over 30 distinct diseases. Leveraging this atlas, we confirmed a rarely recognized CD4+Th2 cell population co-expressing IL22 and IL13 observed exclusively in atopic dermatitis and not in other allergic conditions. By integrating single-cell data with other "omics" technologies, our analysis suggests distinct downstream effects of IL22 and IL13, highlighting the potential for combination therapy to enhance treatment outcomes for AD patients. Additionally, by utilizing data derived from the wide range of diseases, tissues, and time points included in this atlas, we re-confirmed the unique connection between IL9 expression and conditions related to allergen exposure. Pseudotime analysis detailed CD4+Th2 cytokine dynamics upon allergen stimulation, showing a shift from early IL2 and IL4 expression to later IL9 and IL5, with IL13 consistently expressed, and further revealed that IL9 production was transient. Collectively, these findings reveal distinct, context-dependent CD4+Th2 cytokine functions, opening the potential for identifying novel therapeutic strategies for allergic and inflammatory diseases.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: trajectory inference
- approach: deep learning
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Allergen-responsive T helper type 2 cells revealed by high-dimensional profiling in allergen challenged human airways
Benjamin D Wheeler, Jingming Wang, … Prescott G. Woodruff·bioRxiv·Aug 6, 2026
- Type 2 conventional dendritic cells and regulatory T cells form a barrier tissue circuit to control allergic inflammation
Jenny M. Mannion, Lukas M. Altenburger, … Rod A. Rahimi·bioRxiv·May 8, 2026
- Tertiary lymphoid structures support the development of allergen-specific progenitor CD4+ T cells
Derek J. Bangs, Brian D. Hondowicz, … Marion Pepper·bioRxiv·Oct 3, 2025
- IFN-I signaling in type 2 conventional dendritic cells supports TH2 and T follicular helper differentiation after allergen immunization
Greta R. Webb, Kerry L. Hilligan, … Franca Ronchese·Immunology and Cell BiologyPeer-reviewed·Jun 3, 2025
- The skin environment controls local dendritic cell differentiation and function through innate IL-13
J. U. Mayer, O. Lamiable, … F. Ronchese·bioRxiv·Jan 5, 2021
- Human CD127 negative ILC2s show immunological memory
L. Matha, L. Krabbendam, … I. Martinez-Gonzalez·bioRxiv·Oct 29, 2023