Multiparameter stimulation mapping of signaling states in single pediatric immune cells reveals heightened tonic activation during puberty
Farmer, R.; Apps, R.; Quiel, J.; Sellers, B.; Cheung, F.; Chen, J.; Mukherjee, A.; McGuire, P.; Tsang, J. S.
Show abstract
Cellular stimulation via factors such as cytokines followed by multiparameter single-cell measurements is a powerful approach to interrogate cellular functions. However, transforming such high-dimensional data into biological insights presents unique challenges, particularly given the extensive response heterogeneity among single cells, such as the presence of bimodal responding versus non-responding subpopulations upon stimulation. Here we present an unsupervised high-dimensional approach for analyzing stimulation responses at the single cell level (HDStIM) and apply it to evaluate how pediatric development may shape peripheral immune cell signaling states and responsiveness to stimulations in 42 subjects (age: 2 - 16). We show that in comparison to the conventional approach of assessing one marker at a time by averaging across single cells, HDStIM can effectively learn, in an unsupervised fashion, the multi-parameter signature of responding versus non-responding cells to accurately quantify responses within cell populations. HDStIM reveals that the extent of pre-stimulation/baseline activation of interferon-related and TCR signaling molecules in myeloid and T cells, respectively, increases during puberty. This suggests that puberty is marked by a heightened "tonic" activation state in these cells, perhaps to strengthen defense against pathogens during this period of human development.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Niche signals regulate continuous transcriptional states in hematopoietic stem cells 94%
- Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy 94%
- COMPARE, an ultra-fast and robust suite for multiparametric screening, identifies phenotypic drug responses in acute myeloid leukemia 93%
Similar papers in this journal
- Single-cell transcriptomic analyses define distinct peripheral B cell subsets and discrete development pathways 94%
- Single cell transcriptomics reveals cell type specific features of developmentally regulated responses to lipopolysaccharide between birth and 5 years. 94%
- A framework to identify antigen-expanded T Cell Receptor (TCR) clusters within complex repertoires 93%
Similar papers in this journal
Similar papers in this journal
- A targeted multi-omic analysis approach measures protein expression and low abundance transcripts on the single cell level 95%
- Human IL-10-producing B cells have diverse states induced from multiple B cell subsets 94%
- Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes define survival threshold in erythroid progenitor cells 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.