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. 2024 Nov 27;14:29493. doi: 10.1038/s41598-024-80993-z

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 4 — Identification and analysis of neutrophil subpopulations. (A) Neutrophil subpopulations in the OP microenvironment. (B) Bar graph showing the difference in neutrophil abundance between controls and osteoporosis patients. (C) Density plot mapping of cell subpopulation-specific marker expression in neutrophil subpopulations. (D-E) Bubble plots showing biological processes and pathways that are significantly activated in neutrophil subpopulations. GO BP: Gene Ontology Biological Process; KEGG: Kyoto Encyclopedia of Genes and Genomes. (F) Pseudotime developmental trajectories of neutrophil subpopulations. (G) Violin plots showing neutrophil extracellular traps (NET) scores of neutrophil subpopulations. (H) Coexpression modules of transcription factors in myeloid cell subpopulations. (I) Most specific regulators of the Neut_RSAD2 subpopulation.