Omics · dataset · 2026
Data Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
Listed in ZivaHub and Deakin Research Online and HKU DataHub and DaYta Ya Rona and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.3389/fimmu.2026.1863607.s003
Background<p>Atopic dermatitis (AD) is a common chronic inflammatory disorder of the skin.
Description
Despite the availability of targeted biologics like dupilumab, heterogeneous treatment responses persist, highlighting the need for reliable biomarkers and a deeper understanding of cell-type-associated molecular programs within the tissue microenvironment.</p>Methods<p>This exploratory study integrated public microarray, single-cell RNA sequencing, and spatial transcriptomic datasets.
GSE130588, comprising 124 lesional AD skin samples, was used for weighted gene co-expression network analysis (WGCNA). GSE59294 comprised 40 skin biopsies from 18 patients, including 16 pre-treatment lesional, 12 post-treatment lesional, 7 pre-treatment non-lesional, and 5 post-treatment non-lesional samples, and was used for differential expression analysis. The single-cell query cohort comprised 66,846 cells from 25 samples, with downstream analyses restricted to 19 blister-derived samples.
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Regulon activity was computationally inferred. GSE197023 comprised 20 spatial transcriptomic samples, including 7 lesional AD, 7 non-lesional AD, and 6 healthy-control samples, and was analyzed using cell-population deconvolution. CCR7 immunoreactivity was assessed by immunohistochemistry in independent healthy-control and lesional AD skin samples (n = 5 per group) analyze.</p>Results<p>WGCNA identified disease-severity-associated gene modules enriched in immune and cell-cycle-related processes.
Nominal-P-value-based integration with differential expression results identified seven exploratory candidate hub genes (GZMB, CCR7, GPR183, MMP12, IL7R, RGS1, and KLHDC7B) associated with immune- cell abundance patterns. FDR-adjusted sensitivity analysis supported MMP12 and RGS1 in the lesional-versus-non-lesional comparison, whereas none of the seven genes reached nominal or FDR-adjusted significance in the paired treatment analysis.
Single-cell reference mapping showed cell-type-associated expression of GZMB in cytotoxic T-cell populations and CCR7 and MMP12 in dendritic-cell subsets. Computational regulon analysis identified candidate cell-type-associated regulatory signals and differences in inferred regulon activity across treatment-state groups. Spatial deconvolution indicated predominantly dermal distributions of inferred immune-cell populations.
Immunohistochemical assessment showed higher relative CCR7 immunoreactivity in lesional AD skin than in healthy-control skin.</p>Conclusion<p>These cross-modal analyses linked candidate molecular signals todendritic-cell- and T- cell-associated patterns in AD. These findings are exploratory and hypothesis-generating and do not establish validated biomarkers, causal regulatory mechanisms, or predictors of treatment response.
Independent cohort replication and functional and cell-type-specific validation are required.</p>
Links
Where it is published
- DOI doi.org/10.3389/fimmu.2026.1863607.s003 ↗
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
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · 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 · Single-cell RNA sequencing · Single-cell RNA sequencing · Single-cell RNA sequencing · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Genetics 70% · RNA sequencing 75% · Sequencing 75%
Related
Provenance · 7 source records, 54 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34029705 | 10 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34029705 | 10 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34029705 | 9 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34029705 | 9 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34029705 | 9 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34029705 | 9 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34029705 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
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| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | 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: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 · 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:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@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 · dayta nwu ac za | connector:dayta_nwu_ac_za@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 · zivahub uct ac za | connector:zivahub_uct_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 · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
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| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@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:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@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:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_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: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 · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@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[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 · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| 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 |