Single-cell RNA-seq reveals the midkine-mediated immune microenvironment dysfunction in human keloids fibrotic niche
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA789564 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A keloid scar is recognized as the most intractable skin pathological scar due to its continuous overgrowth, invasion of adjacent boundary and high recurrence rate. Heterogeneity of fibroblasts or vascular endothelial cells was previously characterized, while the immune microenvironment within this fibrotic niche remains largely unknown.
2024-11-25 | GSE191067 | GEO
Project description:Midkine-a is a cytokine that is highly expressed in the heart upon injury that its role in regeneration has not been identified. We generated a KO zebrafish lines, mdkacn105, and studied the effect of mdka deletion in zebrafish adult heart regeneration. By combining histology and high-throughput genomics, we found that loss of mdka leads to arrest of heart regeneration. Mdka mutant hearts display increased collagen deposition in the site of the injury and decreased proliferation of the coronary endothelial cells due to increased expression of ECM including collagen and periostin as well as decreased expression of Hif1a. Our results demonstrate the importance of a balanced fibrotic respond is necessary for heart regeneration and indicates mdka importance in this process.
2021-05-26 | GSE166732 | GEO
Project description:Midkine-a regulates the formation of a fibrotic scar during zebrafish heart regeneration
| PRJNA701763 | ENA
Project description:Keloids represent a fibrotic disorder characterized by the excessive deposition of extracellular matrix (ECM). However, the mechanisms by which ECM deposition in keloids is regulated remain elusive. Here, we found that the expression of both TWEAK and its cognate receptor Fn14 was significantly downregulated in keloids and that TWEAK/Fn14 signaling repressed the expression of ECM-related genes in keloid fibroblasts. The IRF1 gene was essential for this repression, and the TWEAK/Fn14 downstream transcription factor P65 directly bound to the promoter of the IRF1 gene and induced its expression. Furthermore, in keloid patients, the expression of TWEAK and Fn14 was negatively correlated with that of ECM genes and positively correlated with that of IRF1. These observations indicate that relief of TWEAK/Fn14/IRF1-mediated ECM deposition repression contributes to keloid pathogenesis, and the identified mechanism and related molecules provide potential targets for keloid treatment in the future.
2023-01-28 | GSE221382 | GEO
Project description:To uncover the underlying pathophysiology of keloids, we used two technologies, single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST). we focused on the molecular signature of keloids. In this study, we provide the comprehensive transcriptomic atlas of keloids and its matched spatial information, essential to understanding intercellular crosstalk in the skin microenvironments.
2022-01-21 | GSE181297 | GEO
Project description:Treatment of glioblastoma with anti-CSF-1R immunotherapy, radiotherapy, or surgical tumor resection were found to all induce a fibrotic response to treatment, which was highly associated with tumor recurrence. To investigate the drivers of fibrotic treatment response we performed multi-omic analysis of the glioblastoma microenvironment following treatment with anti-CSF-1R immunotherapy. Studies consisted of mass spectrometry proteomic analysis, single cell transcriptomics, and high-dimensional spatial analysis. These data identified a protective spatial niche that supported tumor cell survival following treatment, ultimately leading to tumor recurrence. Therapeutic inhibition of fibrotic treatment response blocked the formation of this niche, and significantly improved survival in anti-CSF-1R preclinical trials
2024-08-12 | PXD041689 | Pride
Project description:EGFR pathway regulates the cellular interactome within the liver fibrotic niche
| PRJNA1105063 | ENA
Project description:Background:Keloid (KL) is a common benign skin tumor. KL is typically characterized by significant fibrosis and an intensive inflammatory response. Therefore, a comprehensive understanding of the interactions between cellular inflammation and fibrotic cells is essential to elucidate the mechanisms driving the progression of KL and to develop therapeutics. Objective: Investigate the transcriptome landscape of inflammation and fibrosis in keloid scars. Methods: In this paper, we performed transcriptome sequencing and microRNA (miRNA) sequencing on unselected live cells from six human keloid tissues and normal skin tissues to elucidate a comprehensive transcriptome landscape. In addition, we used single-cell RNA sequencing (scRNA-seq) analysis to analyze intercellular communication networks and enrich fibroblast populations in two additional keloid and normal skin samples to study fibroblast diversity. Results: By RNA sequencing and a miRNA-mRNA-PPI network analysis, we identified miR-615-5p and miR-122b-3p as possible miRNAs associated with keloids, as they differed most significantly in keloids. Similarly, COL3A1, COL1A2, THBS2, TNC, IGTA, THBS4, TGFB3 as genes with significant differences in keloid may be associated with keloid development. Using single-cell RNA sequencing data from 24086 cells collected from normal or keloid, we report reconstructed intercellular signaling network analysis and aggregation to modules associated with specific cell subpopulations at the cellular level for keloid alterations. Conclusions: Our multitranscriptomic dataset delineates inflammatory and fibro heterogeneity of human keloids, underlining the importance of intercellular crosstalk between inflammatory cells and fibro cells and revealing potential therapeutic targets.
2024-09-30 | GSE237753 | GEO
Project description:Background:Keloid (KL) is a common benign skin tumor. KL is typically characterized by significant fibrosis and an intensive inflammatory response. Therefore, a comprehensive understanding of the interactions between cellular inflammation and fibrotic cells is essential to elucidate the mechanisms driving the progression of KL and to develop therapeutics. Objective: Investigate the transcriptome landscape of inflammation and fibrosis in keloid scars. Methods: In this paper, we performed transcriptome sequencing and microRNA (miRNA) sequencing on unselected live cells from six human keloid tissues and normal skin tissues to elucidate a comprehensive transcriptome landscape. In addition, we used single-cell RNA sequencing (scRNA-seq) analysis to analyze intercellular communication networks and enrich fibroblast populations in two additional keloid and normal skin samples to study fibroblast diversity. Results: By RNA sequencing and a miRNA-mRNA-PPI network analysis, we identified miR-615-5p and miR-122b-3p as possible miRNAs associated with keloids, as they differed most significantly in keloids. Similarly, COL3A1, COL1A2, THBS2, TNC, IGTA, THBS4, TGFB3 as genes with significant differences in keloid may be associated with keloid development. Using single-cell RNA sequencing data from 24086 cells collected from normal or keloid, we report reconstructed intercellular signaling network analysis and aggregation to modules associated with specific cell subpopulations at the cellular level for keloid alterations. Conclusions: Our multitranscriptomic dataset delineates inflammatory and fibro heterogeneity of human keloids, underlining the importance of intercellular crosstalk between inflammatory cells and fibro cells and revealing potential therapeutic targets.
2024-09-30 | GSE237752 | GEO
Project description:Background:Keloid (KL) is a common benign skin tumor. KL is typically characterized by significant fibrosis and an intensive inflammatory response. Therefore, a comprehensive understanding of the interactions between cellular inflammation and fibrotic cells is essential to elucidate the mechanisms driving the progression of KL and to develop therapeutics. Objective: Investigate the transcriptome landscape of inflammation and fibrosis in keloid scars. Methods: In this paper, we performed transcriptome sequencing and microRNA (miRNA) sequencing on unselected live cells from six human keloid tissues and normal skin tissues to elucidate a comprehensive transcriptome landscape. In addition, we used single-cell RNA sequencing (scRNA-seq) analysis to analyze intercellular communication networks and enrich fibroblast populations in two additional keloid and normal skin samples to study fibroblast diversity. Results: By RNA sequencing and a miRNA-mRNA-PPI network analysis, we identified miR-615-5p and miR-122b-3p as possible miRNAs associated with keloids, as they differed most significantly in keloids. Similarly, COL3A1, COL1A2, THBS2, TNC, IGTA, THBS4, TGFB3 as genes with significant differences in keloid may be associated with keloid development. Using single-cell RNA sequencing data from 24086 cells collected from normal or keloid, we report reconstructed intercellular signaling network analysis and aggregation to modules associated with specific cell subpopulations at the cellular level for keloid alterations. Conclusions: Our multitranscriptomic dataset delineates inflammatory and fibro heterogeneity of human keloids, underlining the importance of intercellular crosstalk between inflammatory cells and fibro cells and revealing potential therapeutic targets.
2024-09-30 | GSE237754 | GEO