Single-cell RNA sequencing in juvenile idiopathic arthritis

Luo, Xiaofan; Tang, Xuemei

doi:10.1016/j.gendis.2023.04.014

Cited by 3 publications

(2 citation statements)

References 85 publications

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“…Juvenile idiopathic arthritis (JIA) is the predominant rheumatic disorder in children, encompassing various forms of persistent arthritis in childhood that affect joints and extra-articular structures, potentially resulting in disability or mortality ( Zaripova et al, 2021 ; Ambler et al, 2022 ; Luo and Tang, 2024 ). As per the International League of Associations for Rheumatology, JIA is categorized into subtypes: oligoarticular, polyarticular, systemic, psoriatic arthritis, and enthesitis-related arthritis, each differing in genetic predisposition and severity of arthritis.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of juvenile idiopathic arthritis patients’ immune characteristics based on bulk and single-cell sequencing data

Liu,

Gong,

Lin

et al. 2024

Front. Mol. Biosci.

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Background:The pathogenesis of juvenile idiopathic arthritis (JIA) is strongly influenced by an impaired immune system. However, the molecular mechanisms underlying its development and progression have not been elucidated. In this study, the computational methods TRUST4 were used to construct a T-cell receptor (TCR) and B-cell receptor (BCR) repertoire from the peripheral blood of JIA patients via bulk RNA-seq data, after which the clonality and diversity of the immune repertoire were analyzed.Results:Our findings revealed significant differences in the frequency of clonotypes between the JIA and healthy control groups in terms of the TCR and BCR repertoires. This work identified specific V genes and J genes in TCRs and BCRs that could be used to expand our understanding of JIA. After single-cell RNA analysis, the relative percentages of CD14 monocytes were significantly greater in the JIA group. Cell-cell communication analysis revealed the significant role of the MIF signaling pathway in JIA.Conclusion:In conclusion, this work describes the immune features of both the TCR and BCR repertoires under JIA conditions and provides novel insight into immunotherapy for JIA.

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Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of juvenile idiopathic arthritis patients’ immune characteristics based on bulk and single-cell sequencing data

Liu,

Gong,

Lin

et al. 2024

Front. Mol. Biosci.

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“…With the development of bioinformatics technology, there are more possibilities to understand the mechanisms of disease progression. Traditional transcriptome sequencing measures the average expression of individual genes in a large population of cells and is primarily used to study differential expression between tissues [ 9 ]. It is therefore difficult to detect molecular differences that are only relevant to specific cell types, especially when gene expression is in low abundance in some specific cell types [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Potential marker genes for chronic obstructive pulmonary disease revealed based on single-cell sequencing and Mendelian randomization analysis

Sun,

Zhou,

Han

et al. 2024

Aging

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Background: Progress is being made in the prevention and treatment of chronic obstructive pulmonary disease (COPD), but it is still unsatisfactory. With the development of genetic technology, validated genetic information can better explain COPD. Objective: The study utilized scRNA-seq and Mendelian randomization analysis of eQTLs to identify crucial genes and potential mechanistic pathways underlying COPD pathogenesis. Mehods: Single-cell sequencing data were used to identify marker genes for immune cells in the COPD process. Data on eQTLs for immune cell marker genes were obtained from the eQTLGen consortium. To estimate the causal effect of marker genes on COPD, we selected an independent cohort (ukb-b-16751) derived from the UK Biobank database for two-sample Mendelian randomization analysis. Subsequently, we performed immune infiltration analysis, gene set enrichment analysis (GSEA), and co-expression network analysis on the key genes. Results: The 154 immune cell-associated marker genes identified were mainly involved in pathways such as vacuolar cleavage, positive regulation of immune response and regulation of cell activation. Mendelian randomization analysis screened four pairs of marker genes (GZMH, COTL1, CSTA and CD14) were causally associated with COPD. These four key genes were significantly associated with immune cells. In addition, we have identified potential transcription factors associated with these key genes using the Cistrome database, thus contributing to a deeper understanding of the regulatory network of these gene expressions. Conclusions: This eQTLs Mendelian randomization study identified four key genes (GZMH, COTL1, CSTA, and CD14) causally associated with COPD, providing new insights for prevention and treatment of COPD.

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Heterogeneity in extracellular matrix and immune microenvironment of anterior vaginal wall revealed by single-cell sequencing in women with stress urinary incontinence

Zhang,

Wang

et al. 2024

Experimental Cell Research

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Single-cell RNA sequencing in juvenile idiopathic arthritis

Cited by 3 publications

References 85 publications

Comprehensive analysis of juvenile idiopathic arthritis patients’ immune characteristics based on bulk and single-cell sequencing data

Comprehensive analysis of juvenile idiopathic arthritis patients’ immune characteristics based on bulk and single-cell sequencing data

Potential marker genes for chronic obstructive pulmonary disease revealed based on single-cell sequencing and Mendelian randomization analysis

Heterogeneity in extracellular matrix and immune microenvironment of anterior vaginal wall revealed by single-cell sequencing in women with stress urinary incontinence

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