Project description:Hidradenitis suppurativa (HS) skin lesions are infiltrated by numerous inflammatory cell types, which may be subject to and can act upon surrounding tissue stroma and epithelium. Understanding how these networks are locally organized can help identify key nodes sustaining inflammatory and fibrotic processes.
Project description:Hidradenitis suppurativa (HS) is an inflammatory skin disease with limited therapeutic options. Identifying transcriptional alterations within non-immune populations of HS lesions versus healthy controls could identify novel targets for therapy. We profiled subsets sorted as live, CD45 negative cells from biopsies of inflammatory lesions of three patients with HS and six specimens from healthy controls to determine what cell types and pathways were altered in HS inflammatory lesions.
Project description:Hidradenitis suppurativa (HS) is an inflammatory skin disease with limited therapeutic options. CD4 T Cells have been described as more inflammatory than T cells in healthy skin. To better understand alterations within the T cell compartment, we profiled CD4 Teffector cells and regulatory T cells (Treg) from inflammatory HS skin lesions and healthy control skin via scRNASequencing.
Project description:Hidradenitis suppurativa (HS) is an inflammatory skin disease with limited therapeutic options. We and others have previously identified an abnormal B cell infiltrate within HS lesional skin. We performed scRNASequencing on CD3 negative cells from inflammatory HS skin lesions, healthy control skin and matched blood to better understand infiltrating B cells amongst other immune cells within lesional skin.
Project description:Atopic dermatitis (AD) is a common pruritic dermatitis with macroscopically nonlesional skin that is often abnormal. Therefore, we used high-density oligonucleotide arrays to identify cutaneous gene transcription changes associated with early AD inflammation as potential disease control targets. Skin biopsy specimens analyzed included normal skin from five healthy nonatopic adults and both minimally lesional skin and nearby or contralateral nonlesional skin from six adult AD patients. Keywords: disease state analysis
Project description:734 whole-blood RNA samples from Estonian Biobank were profiled to find molecular mechanisms behind human complex diseases deidentified clinical and serum metabolite data requested but not provided
Project description:Purpose: To determine the transcriptional differences between lesional skin and nonlesional skin from patients with atopic dermatitis Methods: Skin biopsies of lesional and non-lesional sites on atopic dermatitis patients were obtained and stored in RNA Later. Ribosomal RNA was removed and cDNA was generated with the SMARTer kit (CloneTech) with 10 ng of total RNA per sample. Samples were sequenced to an average depth of 34 million 1x50 reads on a HiSeq3000 (Illumina). Reads were aligned to Ensembl release 76 using STAR, gene counts were determined with Subread:featureCount, and sequence performance was assessed with RSeQC.
