The study team assembled a unified single-cell atlas of human neutrophils, termed SCAHN, by integrating transcriptomes from 1 million neutrophils derived from 781 samples across 43 independent datasets. The authors pooled data generated on seven sequencing platforms and collected from nine countries. Data sources spanned more than 20 tissues and disease states. The investigators reported that the most profiled tissues included peripheral blood, cord blood and bone marrow, along with lung, liver, colorectum, pancreas and spleen. Sample types and sequencing platforms influenced the observed neutrophil proportions: in whole blood the median neutrophil proportion differed by platform, whereas PBMC samples showed a markedly lower median neutrophil proportion. The source did not provide protocol-level harmonization steps in this summary beyond integration and clustering approaches described in the article.
SCAHN aggregated neutrophils from healthy donors and participants with conditions such as infection, lung cancer, cardiovascular disease and autoimmune disorders. Peripheral blood dominated the dataset in sample count, but tissue-resident neutrophils from lung and liver were also represented. The median neutrophil proportion was 45% in whole-blood samples overall and 4% in PBMC isolates; platform-specific medians included 27% for 10x Chromium and 72% for BD Rhapsody in whole blood. The study team observed that the number of genes and reads detected per neutrophil did not show consistent differences across technical variables like sequencing platform, sample preservation or sample type, according to the supplementary analyses the authors referenced.
Clustering of the integrated dataset revealed multiple transcriptionally distinct neutrophil subsets. The authors annotated these clusters by tissue and condition distribution and by characteristic gene-expression programs. Some subsets were enriched in specific tissues; others became more abundant or transcriptionally altered in disease states, including severe infection and cancer. Data indicated robust changes in both gene expression and the proportional representation of neutrophil subsets associated with infection severity, immune suppression and sex. The cohort-level analyses linked particular neutrophil states to immune-suppressive programs previously reported in critical illness literature. The source text did not enumerate specific marker genes for each subset within this summary, so those details should be consulted directly in the full paper and its supplemental tables.
The study mapped mouse and nonhuman primate neutrophil single-cell references onto SCAHN to probe conservation of states across species. Investigators reported both conserved and species-specific features in these cross-species comparisons. The authors used reference mapping to align nonhuman transcriptomes to the human neutrophil atlas; the summary did not list individual conserved markers or detailed species-specific differences, but it indicated that SCAHN can serve as a comparative scaffold for translational studies that rely on animal models.
Using neutrophil-specific transcriptomic signatures derived from SCAHN, the authors quantified those signatures across 17,023 bulk blood transcriptomes drawn from 40 independent datasets. The analysis associated neutrophil signatures with several clinical outcomes: signatures predicted mortality in acutely ill patients at presentation, were linked to cancer diagnosis and survival metrics, and correlated with metabolic dysfunction as well as long-term all-cause mortality. To extend clinical relevance, the investigators analyzed two additional clinical cohorts containing over 430,000 electronic health records; these EHR analyses examined associations between neutrophil-linked signatures and higher risk of chronic diseases and all-cause mortality. The source did not detail the statistical models, covariates, or effect sizes in this summary; readers should consult the main article for analytic methodology and performance metrics.
The authors acknowledged a major motivation for SCAHN: prior single-cell studies of neutrophils typically sampled a narrow set of conditions and used disparate sequencing protocols, analytical pipelines and nomenclatures, complicating cross-study comparison. The integrated atlas aims to standardize neutrophil-state definitions across diverse cohorts, but the summary indicates remaining needs. The source did not present exhaustive protocol-level harmonization steps in this abstracted text and did not report detailed lists of cluster marker genes here; those elements live in the full manuscript and supplementary materials. Functional validation of newly defined neutrophil subsets, mechanistic links between specific transcriptional states and clinical outcomes, and the translational performance of SCAHN-derived signatures in prospective cohorts remain open questions documented by the investigators. These next steps—experimental validation and prospective clinical testing—are necessary to move from descriptive atlas to diagnostic or therapeutic application.
The dataset and resource described provide an integrated framework for comparing neutrophil states across tissues, diseases and species, and for deriving bulk-signature associations with clinical outcomes. The authors reported multiple associations between neutrophil biology and adverse outcomes, but the summary makes clear that further methodological details and functional follow-up are presented in the primary manuscript and supplementary files, and that standardization and validation efforts are required before clinical deployment.