Omics · dataset · 2026
Supplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
Listed in HKU DataHub
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.
Read the rest (5 more)
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 ↗
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
- Earth & Environmental Science · Life Sciences · Single-cell RNA sequencing
- Inferred from text
- Bioinformatics and computational biology 69% · RNA sequencing 75% · Sequencing 75%
Related
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asSupplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asSupplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asSupplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asSupplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asSupplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asData Sheet 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
- Possibly the same asSupplementary file 1_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.docx
- Possibly the same asData Sheet 2_Integration of bulk and single-cell transcriptomics with spatial analysis identifies candidate hub genes and inferred regulatory programs in atopic dermatitis.zip
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/34029798 | 10 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:3102 | enrichment · datahub hku hk | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@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 · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA-seq'] |
| 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 |