A human cytokine response atlas to reconstruct underlying gene regulatory networks
O'Connell, P.
Show abstract
Circulating cytokines encode immune state, yet their pleiotropy and cell-type specificity make constructing a unified atlas of immune cell responses to them challenging. Here, I transformed a single-cell atlas of approximately 10 million human peripheral blood mononuclear cells from 12 donors exposed to 90 cytokines into a multiscale model of cytokine response. A GPU-accelerated implementation of dimension-scalable single-cell perturbation integration network (D-SPIN) allowed for the creation of a signed, directed model of 9.6 million cells, 1,634 immune regulatory genes, and 40 cellular programs. The gene networks and cellular programs span canonical cytokine pathways and lineage relationships and delineated cytokine-specific activation and repression across immune states. Beyond established circuitry, the model nominated candidate regulatory interactions and identified the mitochondrial antioxidant SOD2 as a prominent hub of innate immune cell signaling. Next, I developed CytoCarto, a web application that projects cytokine profiles onto these networks to prioritize dysregulated programs, candidate effector genes, cellular contexts, and disease-associated signatures. In a proof-of-concept analysis I input the cytokine profile of a patient with mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) undergoing an episode of sterile inflammation and found CytoCarto prioritized metabolically reprogrammed monocytes and SOD2, consistent with a role for mitochondrial redox signaling in innate immunity.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatial analysis of human lung cancer reveals organized immune hubs enriched for stem-like CD8 T cells and associated with immunotherapy response 94%
- Mapping pQTLs of circulating inflammatory proteins identifies drivers of immune-related disease risk and novel therapeutic targets 94%
- Pan-cancer profiling of tumor-infiltrating natural killer cells through transcriptional reference mapping 94%
Similar papers in this journal
- Guiding clustering and annotation in single-cell RNA sequencing using the average overlap metric 95%
- A tissue-aware machine learning framework enhances the mechanistic understanding and genetic diagnosis of Mendelian and rare diseases 95%
- Integrated intra- and intercellular signaling knowledge for multicelullar omics analysis 95%
Similar papers in this journal
- AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model 94%
- Clonal hematopoiesis is driven by aberrant activation of TCL1A 94%
- High throughput droplet single-cell Genotyping of Transcriptomes (GoT) reveals the cell identity dependency of the impact of somatic mutations 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.