ArticleLife science alliance2024
Single-cell time series analysis reveals the dynamics of HSPC response to inflammation.
Article in Life science alliance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Impact of early albumin therapy on 28-day survival in ICU patients with septic shock concurrent hypoalbuminemia: a retrospective analysis of combined clinical datasets.World journal of emergency medicine · 2026Article
- Quantitative molecular cartography of emergency myelopoiesis reveals conserved modules of hematopoietic activation.Cell stem cell · 2026Article
- VIST: variational inference for single cell time series.Genome biology · 2026Article
- Targeting RhoA nuclear mechanoactivity rejuvenates aged hematopoietic stem cells.Nature aging · 2026Article
- Gene regulatory network inference with popInfer reveals the dynamic regulation of hematopoietic stem cell quiescence.iScience · 2025Article
- Variational inference of single cell time series.bioRxiv : the preprint server for biology · 2025Article
- iVAE: an interpretable representation learning framework enhances clustering performance for single-cell data.BMC biology · 2025Article
- Decoding cardiac metabolic reprogramming through single-cell multi-omics: from mechanisms to therapeutic applications.Frontiers in cell and developmental biology · 2025Review
- Microheterogeneity in the Kinetics and Sex-Specific Response to Type I IFN.Journal of immunology (Baltimore, Md. : 1950) · 2024Article
- Hematopoietic stem cell a reservoir of innate immune memory.Frontiers in immunology · 2024Review
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hematopoietic stem and progenitor cells (HSPCs) are known to respond to acute inflammation; however, little is understood about the dynamics and heterogeneity of these stress responses in HSPCs. Here, we performed single-cell sequencing during the sensing, response, and recovery phases of the inflammatory response of HSPCs to treatment (a total of 10,046 cells from four time points spanning the first 72 h of response) with the pro-inflammatory cytokine IFNα to investigate the HSPCs' dynamic changes during acute inflammation. We developed the essential novel computational approaches to process and analyze the resulting single-cell time series dataset. This includes an unbiased cell type annotation and abundance analysis post inflammation, tools for identification of global and cell type-specific responding genes, and a semi-supervised linear regression approach for response pseudotime reconstruction. We discovered a variety of different gene responses of the HSPCs to the treatment. Interestingly, we were able to associate a global reduced myeloid differentiation program and a locally enhanced pyroptosis activity with reduced myeloid progenitor and differentiated cells after IFNα treatment. Altogether, the single-cell time series analyses have allowed us to unbiasedly study the heterogeneous and dynamic impact of IFNα on the HSPCs.
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Registered trials
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