Omics · dataset · 2026
Image 1_Identification of a novel inflammatory mast cell subpopulation in triple-negative breast cancer.tif
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.3389/fimmu.2026.1975768.s002
Background<p>Triple-negative breast cancer (TNBC) is associated with poor therapeutic outcomes, and increasing attention has been directed toward the tumor microenvironment (TME).
Description
Mast cells are an important component of the TME, yet their heterogeneity and functional roles in TNBC remain incompletely understood.</p>Methods<p>Single-cell RNA sequencing data of TNBC were analyzed using the Seurat pipeline. Mast cells were extracted and re-clustered, and the subpopulations were characterized by functional enrichment, transcription factor, pseudotime, drug sensitivity, and cell–cell communication analyses.
The role of the inflammatory subpopulation was further examined using an in silico virtual knockout approach and validated in a 4T1 subcutaneous tumor model in BALB/c mice.</p>Results<p>Four transcriptionally distinct mast cell subpopulations were identified. Among them, the C4 subpopulation exhibited a pronounced inflammatory signature and was highly enriched in the NF-κB pathway. C4 was predicted to have lower sensitivity to several first-line chemotherapeutic agents and was associated with an unfavorable treatment response.
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Cell–cell communication analysis suggested that C4 may suppress CD8<sup>+</sup> T cells through multiple immune-inhibitory signals. In vivo, IL-33 administration increased the proportion of C4 and promoted tumor growth, and the proportion of C4 was positively correlated with tumor volume and weight.</p>Conclusions<p>We identified an inflammation-associated mast cell subpopulation (C4) that may contribute to TNBC progression, providing a potential target for future therapeutic exploration.</p>
Links
Where it is published
- DOI doi.org/10.3389/fimmu.2026.1975768.s002 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health · Single-cell RNA sequencing · Single-cell RNA sequencing · Single-cell RNA sequencing
- Inferred from text
- Cancer 75% · Image 75% · Immunology 70% · RNA sequencing 75% · Sequencing 75%
Provenance · 3 source records, 22 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34040433 | 9 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34040433 | 9 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34040433 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3204 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:rna-seq | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |