Omics · dataset · 2026
Data Sheet 1_Single-cell landscape of lymphoid and myeloid heterogeneity across type-stratified craniofacial lesions in polyostotic fibrous dysplasia.pdf
Listed in HKU DataHub and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.3389/fimmu.2026.1906418.s001
Background<p>Polyostotic fibrous dysplasia (POFD) is a mosaic skeletal disorder driven by somatic GNAS mutations that constitutively activate Gsα-cAMP signaling, producing fibro-osseous craniofacial deformities.
Description
POFD lesions are histologically classified into three subtypes—Type I (connective-tissue predominant), Type II (cancellous-bone predominant), and Type III (sclerotic-bone predominant)—yet the immune microenvironment across these categories remains undefined.
This study aims to dissect lymphoid and myeloid heterogeneity and inter-cellular communication networks among distinct POFD histological categories.</p>Methods<p>We performed single-cell RNA sequencing on maxillary lesion tissues from three age- and sex-matched POFD patients classified as Type I (n=1), Type II (n=1), and Type III (n=1). After stringent quality control, 24,567 cells (median 1,762 genes/cell) were integrated and clustered.
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Ligand–receptor interactions were inferred using CellChat.</p>Results<p>Four major lineages were resolved: mesenchyme, lymphoid, myeloid, endovascular. Lymphoid representation differed across subtypes (Type I 1.00%, Type II 5.10%, Type III 10.90%), whereas endovascular fractions showed an inverse pattern (Type I 25.10%, Type II 9.90%, Type III 4.50%). Sub-clustering identified five lymphoid and six myeloid subsets.
CD4<sup>+</sup> T cells were most abundant in Type I (51.10%) but less represented in Type II (36.50%) and Type III (29.30%). CD8<sup>+</sup> T cells constituted 2.10%, 11.90%, and 11.20% across Types I-III, respectively; germinal-center (GC) B cells were undetectable in Type I, minor in Type II (~1.60%), and prominent in Type III (~29.20%). Among myeloid cells, M1 macrophages comprised 9.90% in Type I, 25.70% in Type II, and 15.30% in Type III; osteoclasts were abundant in Type I (35.40%) but scarce in Types II and III (<5%).
Dendritic cells (DCs) were absent in Type I yet detectable in Type II (1.90%) and Type III (2.60%). Network-central genes included LTB, TXNIP, FTH1, and PABPC1 for CD4<sup>+</sup> and GC B cells, and S100A8/9, CXCL8, CCL2/3/4, and IL1B for M1 macrophages and monocytes. Inter-cellular communication networks differed markedly by subtype: Type I and II displayed relatively simple interactomes, whereas Type III exhibited densely interconnected signaling with strengthened M2 macrophage-monocyte, M2 macrophage-GC B cell (CXCL12-CXCR4, APP-CD74), and GC B cell-monocyte axes, alongside attenuated CD4<sup>+</sup> T cell-GC B cell (CLEC2D-KLRB1, ADGRE5-CD55) and M1 macrophage-CD4<sup>+</sup> T cell crosstalk.
Pathway enrichment revealed subtype-specific activation of oxidative phosphorylation, NF-κB, and antigen-presentation cascades across lymphoid and myeloid compartments.</p>Conclusions<p>This study provides the first single-cell immune atlas of POFD, delineating lymphoid and myeloid heterogeneity across three histological subtypes. The identified subtype-specific markers and inter-cellular communication architectures offer candidate biomarkers for diagnostic stratification and reveal potential immunomodulatory targets for this disfiguring bone disorder.</p>
Links
Where it is published
- DOI doi.org/10.3389/fimmu.2026.1906418.s001 ↗
DOI / persistent id · from datahub hku hk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from datahub hku hk
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Single-cell RNA sequencing · Single-cell RNA sequencing · Single-cell RNA sequencing · Single-cell RNA sequencing · Social Science · Social Science · Social Science
- Inferred from text
- Dentistry 71% · RNA sequencing 75% · Sequencing 75%
Provenance · 4 source records, 42 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/34010817 | 5 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34010817 | 4 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34010817 | 4 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34010817 | 3 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].anzsrc:group:3203 | enrichment · datahub hku hk | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[modality].local:modality:rna-seq | enrichment · datahub hku hk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · datahub hku hk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| description | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/description |
| license | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/rights |
| publication_date | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| title | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/title |