Identification of RNF114 as a novel positive regulatory protein for T cell activation

Yang, Ping; Lu, Yilu; Li, Min-Hui; Zhang, Kun; Li, Chao; Chen, Huijuan; Tao, Dachang; Zhang, Sizhong; Ma, Yongxin

doi:10.1016/j.imbio.2014.02.002

Cited by 14 publications

(9 citation statements)

References 30 publications

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“…We report a novel inhibitor of osteoclastogenesis, RNF114, which was previously implicated in innate immune regulation . Our results demonstrated that RNF114 expression was significantly down‐regulated in a macrophage cell line and mouse primary BMMs when these osteoclast precursors underwent RANKL‐induced osteoclast differentiation and activation.…”

Section: Discussionmentioning

confidence: 75%

“…RNF125 suppressed RIG‐I‐like helicase (RLH)‐mediated induction of type I interferon (IFN) through inhibitory (K48) poly‐ubiquitination of signaling components . Although not fully characterized, RNF114 may also play a role in regulating dsRNA‐induced production of type I IFN via RLH signaling pathway (Lin et al, Submitted) or as a regulator of T cell activation …”

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confidence: 99%

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Regulation of RANKL‐induced osteoclastogenesis by RING finger protein RNF114

Lin

Qin

Leaman

et al. 2017

Journal Orthopaedic Research

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Normal bone remodeling is a continuous process orchestrated by bone-resorbing osteoclasts and bone-forming osteoblasts, which an imbalance in bone remodeling results in metabolic bone diseases. RANKL, a member of the TNF cytokine family, functions as a key stimulator for osteoclast differentiation and maturation. Here, we report that RNF114, previously identified as a psoriasis susceptibility gene, plays a regulatory role in the RANKL/RANK/TRAF6 signaling pathway that mediates osteoclastogenesis. Our results demonstrated that RNF114 expression was significantly down-regulated in mouse osteoclast precursor cells undergoing RANKL-induced osteoclast differentiation. RNF114 knockout did not affect development or viability of the subpopulation of bone marrow macrophages capable of differentiating into osteoclasts in culture. However, in the presence of RANKL, RNF114 knockout bone marrow macrophages exhibited enhanced cell proliferation and augmented osteoclast differentiation, as shown by an increased expression of mature osteoclast markers, increased osteoclastic TRAP activity and bone resorption. Conversely, ectopic expression of RNF114 inhibited CTSK expression, TRAP activity, and bone resorption in RANKL-treated pre-osteoclasts. RNF114 also suppressed RANKL-activated NFATc1 expression and NFAT-regulated promoter activity. RNF114 suppressed TRAF6-, but not TAK1/TAB2-mediated NF-κB activation downstream of RANKL/RANK. In particular, TRAF6 protein levels were down-regulated by RNF114, possibly via K48-mediated proteasome-dependent degradation. These data suggested that RNF114's inhibitory effect on RANKL-stimulated osteoclastogenesis was mediated by blocking RANK/TRAF6/NF-κB signal transduction. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:159-166, 2018.

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Section: Discussionmentioning

confidence: 75%

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confidence: 99%

Regulation of RANKL‐induced osteoclastogenesis by RING finger protein RNF114

Lin

Qin

Leaman

et al. 2017

Journal Orthopaedic Research

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“…Nevertheless, both play an important role in immune systems reported by existing studies: RNF114 regulates the immune responses and may involve in T-cell activation [37]; HLA-DRB5 plays a central role in the immune system and is related to an autoimmune disease, systemic lupus erythematosus [38]. Considering that the two genes were identified as key genes for cancer classification, further experimental validation on their roles in cancer development will be important.…”

Section: Resultsmentioning

confidence: 99%

A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data

Xia

Han

et al. 2018

IEEE/ACM Trans. Comput. Biol. and Bioinf.

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Accurate identification of the cancer types is essential to cancer diagnoses and treatments. Since cancer tissue and normal tissue have different gene expression, gene expression data can be used as an efficient feature source for cancer classification. However, accurate cancer classification directly using original gene expression profiles remains challenging due to the intrinsic high-dimension feature and the small size of the data samples. We proposed a new self-training subspace clustering algorithm under low-rank representation, called SSC-LRR, for cancer classification on gene expression data. Low-rank representation (LRR) is first applied to extract discriminative features from the high-dimensional gene expression data; self-training subspace clustering (SSC) method is then used to generate the cancer classification predictions. The SSC-LRR was tested on two separate benchmark datasets in control with four state of the art classification methods. It generated cancer classification predictions with an overall accuracy 89.7% and a general correlation 0.920, which are 18.9% and 24.4% higher than that of the best control method respectively. In addition, several genes (RNF114, HLA-DRB5, USP9Y and PTPN20) were identified by SSC-LRR as new cancer identifiers that deserve further clinical investigation. Overall, the study demonstrated a new sensitive avenue to recognize cancer classifications from large-scale gene expression data.

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“…RNF114 has been previously proven to be a susceptible gene of psoriasis ( Das et al, 2015 ). Recently, some studies also reported that it could stimulate T-cell activation and the C2H2 fragment might be its main functional site ( Yang et al, 2014 ; Rodriguez et al, 2014 ). Our study proved that overexpression of miR-338-3p through transfection can reduce the expression of RNF114 mRNA and its related protein.…”

Section: Discussionmentioning

confidence: 99%

Usefulness of miRNA-338-3p in the diagnosis of pemphigus and its correlation with disease severity

Lin¹,

Liu²,

Wang³

et al. 2018

PeerJ

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BackgroundPemphigus is a common life-threatening, autoimmune bullous disease effecting both cutaneous and mucous membranes. Previous diagnosis of pemphigus is based on clinical presentations, histopathology, immunofluorescence and enzyme-linked immunosorbent assay. Furthermore, no laboratory parameters could be used to indicate disease severity. MicroRNAs are endogenous small RNAs, which could be used as diagnostic biomarkers for some autoimmune diseases. Previously, miR-338-3p has been proven significantly up-regulated in pemphigus patients.MethodsPemphigus patients (including pemphigus vulgaris and pemphigus foliaceus) with active lesions and with remission, patients diagnosed as bullous pemphigoid and healthy volunteers were recruited, and miR-338-3p expression level was measured using reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR). Active pemphigus patients accepting treatment were followed up for at least 2 weeks to investigate the expression change of miR-338-3p during treatment period. Target genes of miR-338-3p were screened through computer-aided algorithm and verified by RT-qPCR, Western blot and Luciferase activity assay.ResultsMiR-338-3p was specifically increased in patients diagnosed as pemphigus with active lesions. The expression level of miR-338-3p gradually decreased after effective treatment. MiR-338-3p expression was independently correlated with disease severity defined by PDAI (Pemphigus Disease Area Index) or ABSIS (Autoimmune Bullous Skin Disorder Intensity Score) criteria. Up-regulation of miR-338-3p could significantly suppress RNF114 expression at mRNA and protein level in vitro.DiscussionMiR-338-3p could be used as a diagnostic biomarker of pemphigus in addition to other traditional methods. Up-regulation of MiR-338-3p was associated with more severe condition in pemphigus. RNF114 is the target gene of miR-338-3p, which probably participates in the regulation of disease activity of pemphigus.

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Identification of RNF114 as a novel positive regulatory protein for T cell activation

Cited by 14 publications

References 30 publications

Regulation of RANKL‐induced osteoclastogenesis by RING finger protein RNF114

Regulation of RANKL‐induced osteoclastogenesis by RING finger protein RNF114

A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data

Usefulness of miRNA-338-3p in the diagnosis of pemphigus and its correlation with disease severity

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