CD247 variants and single-nucleotide polymorphisms observed in systemic lupus erythematosus patients

Takeuchi, Tsutomu; Suzuki, Katsuya

doi:10.1093/rheumatology/ket119

Cited by 21 publications

(16 citation statements)

References 28 publications

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“…Our findings are consistent with the increasingly recognized importance of splice variants in diseases; rheumatoid arthritis (22), nephropathy (23), and MS. From a diagnostic perspective, our findings highlight the importance of searching for combinations of different types of variables. For example, our analyses of large-scale GWAS of MS showed highly significant enrichment of disease-associated SNPs in the three TFs, which in combination were associated with disease severity.…”

Section: Discussionsupporting

confidence: 91%

“…Remarkably, such a study was recently started, with the aim is to follow one hundred thousand subjects for [20][21][22][23][24][25][26][27][28][29][30] years, and repeatedly analyze multiple potential diagnostic markers to predict disease (1). However, the identification of such markers is complicated by the involvement of thousands of genes in multiple cell types in different tissues and organs, which may change at different time points of the disease process.…”

Section: Introductionmentioning

confidence: 99%

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A validated gene regulatory network and GWAS identifies early regulators of T cell–associated diseases

et al. 2015

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Early regulators of disease may increase understanding disease mechanisms, and serve as markers for pre-symptomatic diagnosis and treatment. However, early regulators are difficult to identify because patients generally present after they are symptomatic. We hypothesized that early regulators of T-cell associated diseases could be found by identifying upstream transcription factors (TFs) in T-cell differentiation, and by prioritizing hub TFs that were enriched for disease associated This analytical strategy to identify early regulators of disease by combining gene regulatory networks with GWAS may be generally applicable for functional and clinical studies of early disease development.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

A validated gene regulatory network and GWAS identifies early regulators of T cell–associated diseases

et al. 2015

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“…About 65% of these proteins are involved in immune regulatory pathways, 61% take part in signal transduction pathways, 54% are involved in cancer regulation pathways, and 28% participate in all three pathways. These proteins reportedly play important roles in cell proliferation [29,30,31] and immunoregulation [30,32,33,34] and function as protein kinases (CDK1, PRKCB, ZAP70, BTK, MAP2K3, MAP3K5, BMP2K, etc. ), immunoregulators (IL-18, CD81, CD247, etc.…”

Section: Resultsmentioning

confidence: 99%

Marek’s Disease Virus Regulates the Ubiquitylome of Chicken CD4+ T Cells to Promote Tumorigenesis

Zhou

et al. 2019

IJMS

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Ubiquitination and deubiquitination of cellular proteins are reciprocal reactions catalyzed by ubiquitination-related enzymes and deubiquitinase (DUB) which regulate almost all cellular processes. Marek’s disease virus (MDV) encodes a viral DUB that plays an important role in the MDV pathogenicity. Chicken CD4+ T-cell lymphoma induced by MDV is a key contributor to multiple visceral tumors and immunosuppression of chickens with Marek’s disease (MD). However, alterations in the ubiquitylome of MDV-induced T lymphoma cells are still unclear. In this study, a specific antibody against K-ε-GG was used to isolate ubiquitinated peptides from CD4+ T cells and MD T lymphoma cells. Mass spectrometry was used to compare and analyze alterations in the ubiquitylome. Our results showed that the ubiquitination of 717 and 778 proteins was significantly up- and downregulated, respectively, in T lymphoma cells. MDV up- and downregulated ubiquitination of a similar percentage of proteins. The ubiquitination of transferases, especially serine/threonine kinases, was the main regulatory target of MDV. Compared with CD4+ T cells of the control group, MDV mainly altered the ubiquitylome associated with the signal transduction, immune system, cancer, and infectious disease pathways in T lymphoma cells. In these pathways, the ubiquitination of CDK1, IL-18, PRKCB, ETV6, and EST1 proteins was significantly up- or downregulated as shown by immunoblotting. The current study revealed that the MDV infection could exert a significant influence on the ubiquitylome of CD4+ T cells.

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“…T-cell receptor zeta or CD247 plays an important role in coupling antigen recognition to several intracellular signal-transduction pathways. Impaired expression of CD247 results in impaired immune response and is associated with immunosuppression in T-cells (54). Our predictions list the gene encoding CD247 as a target for SARS-CoV-2 miRNAs, and the transcriptomics analysis by Xiong et al .…”

Section: Discussionmentioning

confidence: 99%

Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets

Verma

Dwivedy

Kumar

et al. 2020

Preprint

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Background: Over the past two decades, there has been a continued research on the role of small non-coding RNAs including microRNAs (miRNAs) in various diseases. Studies have shown that viruses modulate the host cellular machinery and hijack its metabolic and immune signaling pathways by miRNA mediated gene silencing. Given the immensity of coronavirus disease 19 (COVID-19) pandemic and the strong association of viral encoded miRNAs with their pathogenesis, it is important to study Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) miRNAs. Results: To address this unexplored area, we identified 8 putative novel miRNAs from SARS-CoV-2 genome and explored their possible human gene targets. A significant proportion of these targets populated key immune and metabolic pathways such as MAPK signaling pathway, maturity-onset diabetes of the young, Insulin signaling pathway, endocytosis, RNA transport, TGF-β signaling pathway, to name a few. The data from this work is backed up by recently reported high-throughput transcriptomics datasets obtains from SARS-CoV-2 infected samples. Analysis of these datasets reveal that a significant proportion of the target human genes were down-regulated upon SARS-CoV-2 infection. Conclusions: The current study brings to light probable host metabolic and immune pathways susceptible to viral miRNA mediated silencing in a SARS-CoV-2 infection, and discusses its effects on the host pathophysiology.

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CD247 variants and single-nucleotide polymorphisms observed in systemic lupus erythematosus patients

Cited by 21 publications

References 28 publications

A validated gene regulatory network and GWAS identifies early regulators of T cell–associated diseases

A validated gene regulatory network and GWAS identifies early regulators of T cell–associated diseases

Marek’s Disease Virus Regulates the Ubiquitylome of Chicken CD4+ T Cells to Promote Tumorigenesis

Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets

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