Ontology highlight
ABSTRACT:
PROVIDER: PRJNA811823 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18191800_1.fastq.gz | Fastqsanger.gz | |||
| SRR18191800_2.fastq.gz | Fastqsanger.gz | |||
| SRR18191801_1.fastq.gz | Fastqsanger.gz | |||
| SRR18191801_2.fastq.gz | Fastqsanger.gz | |||
| SRR18191802_1.fastq.gz | Fastqsanger.gz |
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Project description:Background Hypertrophic scars and keloids are both pathological scars with similar appearance and pathological features. Currently, the differential diagnosis of the two mainly depends on the subjective judgment of physicians, and there is a lack of objective diagnostic indicators and treatment methods. Objectives To provide single-cell level evidence and new approaches for the differential diagnosis and clinical treatment of hypertrophic scars and keloids. Methods Single-cell RNA sequencing (scRNA-seq) was performed on a hypertrophic scar and a keloid tissue from the same patient to compare the differences in the cellular and tissue microenvironments of the two conditions. Results ScRNA-seq results depicted the distribution of cell subpopulations and different microenvironments between hypertrophic scars and keloids. Conclusions The results of the analysis showed significant differences in cell subcluster distribution and cell communication between hypertrophic scars and keloids. This study demonstrated the potential of scRNA-seq to differentiate the two conditions and provide a new approach to refine differential diagnosis and a possible target for therapeutic research.
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Project description:Despite recent advances in understanding skin scarring, mechanisms triggering hypertrophic scar formation are still poorly understood. In the present study we performed single-cell sequencing of mature human hypertrophic scars and developing scars in mice. Compared to normal skin, we found significant differences in gene expression in most cell types present in scar tissue. Fibroblasts (FBs) showed the most prominent alterations in gene expression, displaying a distinct fibrotic signature. By comparing genes upregulated in murine FBs during scar development with genes highly expressed in mature human hypertrophic scars, we identified a group of serine proteases, tentatively involved in scar formation. Two of them, dipeptidyl-peptidase 4 (DPP4) and urokinase (PLAU), were further analyzed in functional assays, revealing a role in TGFβ1-mediated myofibroblast differentiation and over-production of components of the extracellular matrix (ECM) without interfering with the canonical TGFβ1 -signaling pathway. In this study, we delineate the genetic landscape of hypertrophic scars and present new insights into mechanisms involved in hypertrophic scar formation. Our data suggest the use of serine protease inhibitors for the treatment of skin fibrosis.
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Project description:Microbiota-induced cytokine responses participate in gut homeostasis, but the cytokine balance at steady-state and the role of individual bacterial species in setting the balance remain elusive. Using gnotobiotic mouse models, we provide a systematic analysis of the role of microbiota in the induction of cytokine responses in the normal intestine. Colonization by a whole mouse microbiota orchestrated a broad spectrum of pro-inflammatory (Th1, Th17) and regulatory T cell responses. Unexpectedly, most tested complex microbiota and individual bacteria failed to efficiently stimulate intestinal cytokine responses. A potent cytokine-inducing function was however associated with non-culturable host-specific species, the prototype of which was the Clostridia-related Segmented Filamentous Bacterium, and this bacterial species recapitulated the coordinated maturation of T cell responses induced by the whole mouse microbiota. Our study demonstrates the non-redundant role of microbiota members in the regulation of gut immune homeostasis. Germfree (GF) female 8-9-week-old mice were gavaged twice at a 24-hr interval with 0.5 mL of fresh anaerobic cultures of fecal homogenate from SFB mono-associated mice, fresh feces from Cv mice (Cvd) or from a healthy human donor (Hum). All mice were sacrificed on d8, 20 and 60 post-colonization in parallel to age-matched Cv and GF controls. RNA was extracted from ileal tissue, and processed to biotin-labelled cRNA, and then hybridized to the NuGO array (mouse) NuGO_Mm1a520177. Microarray analysis compared gene expression in ileum tissue of all the treatment groups GF, Cv, Cvd, Hum and SFB (N=3 per treatment group per time-point). Data was considered significant when P<0.05 using the Benjamini and Hochberg false discovery method.
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