Similar Datasets
Project description:Seq-Scope analysis of human acne
| PRJNA774786 | ENA
Project description:MESO-SCOPE, SCOPE cruise July 2017 Raw sequence reads
| PRJNA981211 | ENA
Project description:The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. In an attempt to understand the specific genes involved in inflammatory acne, we performed gene expression profiling in acne patients. Skin biopsies were obtained from an inflammatory papule and from normal skin in six patients with acne. Biopsies were also taken from normal skin of six subjects without acne. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays comparing lesional to nonlesional skin in acne patients and comparing nonlesional skin from acne patients to skin from normal subjects. Within the acne patients, 211 genes are upregulated in lesional skin compared to nonlesional skin. A significant proportion of these genes are involved in pathways that regulate inflammation and extracellular matrix remodeling, and they include matrix metalloproteinases 1 and 3, IL-8, human beta-defensin 4, and granzyme B. These data indicate a prominent role of matrix metalloproteinases, inflammatory cytokines, and antimicrobial peptides in acne lesions. These studies are the first describing the comprehensive changes in gene expression in inflammatory acne lesions and are valuable in identifying potential therapeutic targets in inflammatory acne. Experiment Overall Design: total 18 chips. 6 for acne lesion samples, 6 for normal skin samples, 6 for non-acne patient normal skin samples
2008-06-14 | E-GEOD-6475 | biostudies-arrayexpress
Project description:Purpose: we propose Sequence-Scope (Seq-Scope), which can generate ultra-high definition images of sequence-based molecular signatures resolved at a submicrometer scale. Experimental Methods: Seq-Scope experiment is divided into two consecutive sequencing steps: 1st-Seq and 2nd-Seq. 1st-Seq of Seq-Scope starts with the solid-phase amplification of a single-stranded synthetic oligonucleotide library using an Illumina sequencing-by-synthesis (SBS) platform. 2nd-Seq of Seq-scope begins with overlaying the tissue section slice onto the HDMI-array. Computational Methods: Tissue boundaries are detected by using a custom python code to draw a smoothed density plot to visualize the density of HiSeq reads in a given XY space of each tile. Digital gene expression (DGE) matrices are generate using STAR/STARsolo 2.7.5c with Gene,GeneFull, Velocyto, and polyAtrimming options. Data binning is performed by dividing the imaging space into 100 μm2 square grid with 10 μm simple side or 25 μm2 square grid with 5 μm side and collapsing all HDMI-UMI information into one barcode. Binned DGE matrix was analyzed in the Seurat v4 package for clustering analysis.
2021-04-19 | GSE169706 | GEO
Project description:We used Sequence-Scope (Seq-Scope), which can generate ultra-high definition images of sequence-based molecular signatures resolved at a submicrometer scale, for profiling spatial transcriptome associated with biopsy-associated colon injury. Raw 1st-Seq FASTQ with intact tile and coordinate information could be retrieved from https://doi.org/10.5281/zenodo.13118097
2024-08-29 | GSE266556 | GEO
Project description:SCOPE FALKOR Eukaryotic Metatranscriptomes Raw sequence reads
| PRJNA982163 | ENA
Project description:Live cell imaging allows direct observation and monitoring of phenotypes that are difficult to infer from the transcriptome. However, existing methods for linking microscopy and single-cell RNA-seq (scRNA-seq) have limited scalability. Here, we describe an upgraded version of Single Cell Optical Phenotyping and Expression (SCOPE-seq2), which builds on our earlier efforts to combine single-cell imaging and expression profiling, with substantial improvements in throughput, molecular capture efficiency, linking accuracy, and compatibility with standard microscopy instrumentation. We introduce improved optically decodable mRNA capture beads and implement a more scalable and simplified optical decoding process. We demonstrated the utility of SCOPE-seq2 for fluorescence, morphological, and expression profiling of individual primary cells from a human glioblastoma (GBM) surgical sample, revealing relationships between simple imaging features and cellular identity, particularly among malignantly transformed tumor cells.
2020-06-28 | GSE151137 | GEO
Project description:Glioblastoma (GBM) is the most common and aggressive malignant primary brain tumor, and surgical resection is a key part of the standard-of-care. In fluorescence-guided surgery (FGS), fluorophores are used to differentiate tumor tissue from surrounding normal brain. The heme synthesis pathway converts 5-aminolevulinic acid (5-ALA), a fluorogenic substrate, to the fluorophore protoporphyrin IX (PpIX). The resulting fluorescence is thought to be specific to transformed glioma cells, but this specificity has not been examined at single cell level. Here, we performed paired single cell imaging and RNA sequencing of individual cells (SCOPE-seq2) on human GBM surgical specimens with visible PpIX fluorescence from patients who received 5-ALA prior to surgery. SCOPE-seq2 allows us to simultaneously measure PpIX fluorescence by imaging and unambiguously identify transformed glioma cells from single-cell RNA-seq (scRNA-seq). We observed that 5-ALA treatment results in labeling that is not specific to transformed tumor cells. In cell culture experiments, we further demonstrated untransformed cells can be labeled by 5-ALA directly or by PpIX secreted from surrounding transformed cells. In acute slice cultures from mouse glioma models, we showed that 5-ALA preferably labels GBM tumor tissue over non-neoplastic brain tissue at bulk level, and that this contrast is not due to blood-brain-barrier disruption. Taken together, our findings support the use of 5-ALA as an indicator of GBM tissue, but not as a specific marker of transformed glioma cells.
2022-11-30 | GSE218331 | GEO
Project description:The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. In an attempt to understand the specific genes involved in inflammatory acne, we performed gene expression profiling in acne patients. Skin biopsies were obtained from an inflammatory papule and from normal skin in six patients with acne. Biopsies were also taken from normal skin of six subjects without acne. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays comparing lesional to nonlesional skin in acne patients and comparing nonlesional skin from acne patients to skin from normal subjects. Within the acne patients, 211 genes are upregulated in lesional skin compared to nonlesional skin. A significant proportion of these genes are involved in pathways that regulate inflammation and extracellular matrix remodeling, and they include matrix metalloproteinases 1 and 3, IL-8, human beta-defensin 4, and granzyme B. These data indicate a prominent role of matrix metalloproteinases, inflammatory cytokines, and antimicrobial peptides in acne lesions. These studies are the first describing the comprehensive changes in gene expression in inflammatory acne lesions and are valuable in identifying potential therapeutic targets in inflammatory acne. Keywords: acne lesion, normal skin
2006-12-12 | GSE6475 | GEO
Project description:Integrating single-cell RNA-seq and imaging with SCOPE-seq2
| PRJNA634853 | ENA