Project description:This study includes RNAseq data of lesional and autologous non-lesional skin from patients with non-communicable inflammatory skin diseases, including psoriasis, nummular eczema and atopic dermatitis.

2024-06-20 | GSE154200 | GEO

Spatial transcriptomics landscape of non-communicable inflammatory skin diseases

Project description:Spatial transcriptomics landscape of non-communicable inflammatory skin diseases

| PRJNA850422 | ENA

scRNA-seq of embryonic skin development (developmental time series in full-thickness dorsal skin of mouse embryos)

Project description:In this study, we analysed early embryonic skin development (mus musculus; C57BL/6J) at the transcriptional level. Major questions concerned the cell type composition of early embryonic skin, and the emergence of transcriptional heterogeneity among epithelial and stromal precursor cells. Cells were isolated from embryonic dorsal skin and randomly sequenced (scRNA-Seq using 10X Genomics v2) without any cell sorting. Data from three embryonic time points (E12.5, E13.5, and E14.5) was integrated and compared to obtain a better understanding of the dynamics of early skin development.

2023-07-16 | E-MTAB-11920 | biostudies-arrayexpress

Immune Modules to guide Diagnosis and Personalized Treatment of Inflammatory Skin Diseases

Project description:we profiled the inflammatory transcriptome of skin lesions from patients with inflammatory skin diseases

2024-11-08 | GSE280220 | GEO

Transcriptomic profiling of keratinocytes isolated from patients with rare inflammatory skin disorders

Project description:Inflammatory skin diseases, including inflammatory linear verrucous epidermal naevus (ILVEN) and psoriasis, are known to collectively be hyperproliferative. We endeavoured to do a transcriptional comparative study on patient and control keratinocytes to uncover a final druggable common pathway for those disorders.

2023-09-01 | E-MTAB-12925 | biostudies-arrayexpress

Spatial transcriptomics landscape of non-communicable inflammatory skin diseases

Project description:We investigated the landscape of non-communicable inflammatory skin diseases by spatial transcriptomics resulting in a large repository of spatially defined human cutaneous transcriptomes of 31 patients.

2022-11-14 | GSE206391 | GEO

Second-Strand Synthesis-Based Massively Parallel scRNA-Seq Reveals Cellular States and Molecular Features of Human Inflammatory Skin Pathologies.

Project description:High-throughput single-cell RNA-sequencing (scRNA-seq) methodologies enable characterization of complex biological samples by increasing the number of cells that can be profiled contemporaneously. Nevertheless, these approaches recover less information per cell than low-throughput strategies. To accurately report the expression of key phenotypic features of cells, scRNA-seq platforms are needed that are both high fidelity and high throughput. To address this need, we created Seq-Well S3 ("Second-Strand Synthesis"), a massively parallel scRNA-seq protocol that uses a randomly primed second-strand synthesis to recover complementary DNA (cDNA) molecules that were successfully reverse transcribed but to which a second oligonucleotide handle, necessary for subsequent whole transcriptome amplification, was not appended due to inefficient template switching. Seq-Well S3 increased the efficiency of transcript capture and gene detection compared with that of previous iterations by up to 10- and 5-fold, respectively. We used Seq-Well S3 to chart the transcriptional landscape of five human inflammatory skin diseases, thus providing a resource for the further study of human skin inflammation.

| S-EPMC7562821 | biostudies-literature

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