Ask about this productRelated genes to: RLIM antibody
- Gene:
- RLIM NIH gene
- Name:
- ring finger protein, LIM domain interacting
- Previous symbol:
- RNF12
- Synonyms:
- NY-REN-43, MGC15161
- Chromosome:
- Xq13.2
- Locus Type:
- gene with protein product
- Date approved:
- 2002-04-30
- Date modifiied:
- 2017-01-18
Related products to: RLIM antibody
Related articles to: RLIM antibody
- FOXR2 is a forkhead box transcription factor implicated in central nervous system neuroblastoma (CNS-NB FOXR2). The underlying genetic mechanisms and clinical features of CNS-NB FOXR2 have yet to be elucidated. - Source: PubMed
Publication date: 2026/03/19
Ji JianlingYellapantula VenkataXu DongEstrine DoloresMarkowitz AlexanderHan JenniferMa KatherineFong CindyHawes DebraMargol AshleyO'Halloran KatrinaRobison Nathan JBiegel Jaclyn ACotter Jennifer ARaca GordanaTsai Jessica W - Chronic diabetic ulcers present a persistent challenge due to delayed wound healing. At the wound site, oxidative stress impairs stem cell survival and differentiation, accelerates senescence, and impairs autophagy. RLIM was identified as a critical regulator in human umbilical cord mesenchymal stem cells (hUCMSCs), where oxidative stress-induced RLIM upregulation leads to MDM2 degradation and stabilization of p53. Functionally, RLIM upregulation under oxidative stress inhibited autophagy, induced cellular senescence, and significantly impaired angiogenesis, cell migration, and immunomodulatory functions, ultimately hindering diabetic wound healing in vivo. These results highlight the RLIM-MDM2-p53 signaling axis as a pivotal pathway governing stem cell senescence and function under oxidative stress, offering promising therapeutic targets to enhance stem cell-based approaches for diabetic wound repair. - Source: PubMed
Publication date: 2026/03/20
Li XiaoyueShen CaiqiLi YajieWu LijunGao JiaZhu DongDong DongChen FeifeiJin Peisheng - Hemizygous variants in the gene, which is located on chromosome Xq13, cause Tønne-Kalscheuer syndrome (TOKAS). This X-linked recessive disorder is characterized by intellectual disability (ID), global developmental delay, behavioral impairment, gait disturbances, minor facial anomalies, congenital diaphragmatic hernia, skeletal and urogenital abnormalities, including hypogenitalism, micropenis, and cryptorchidism. In this study, we report on a novel, likely pathogenic variant in a proband, the clinical phenotype of which is consistent with a diagnosis of TOKAS. Whole-exome sequencing (WES) was performed on a genomic DNA (gDNA) sample of the proband to identify the disease-causing variant. Validation and segregation analysis were performed by Sanger sequencing of the proband’s and his mother’s gDNA samples. Computational analysis and protein structure modelling were applied to assess the possible influence of the variant on protein function. A novel missense variant NM_016120.4:c.1721T > A, NP_057204.2:p.(Ile574Asn) in the gene was identified by the analysis of WES data. Segregation analysis revealed the asymptomatic mother to be a carrier of the familial missense variant, and a highly skewed X chromosome inactivation pattern was observed in this study. The altered residue was determined to be at the interaction interface between E3 ubiquitin ligase RLIM and E2 ubiquitin-conjugating enzymes. The findings provided in this study suggest that the affected residue Ile574 could alter the interactions of the RING domain with the E2 ubiquitin-conjugating enzymes and therefore could influence the ubiquitin-mediated protein regulation pathways. - Source: PubMed
Publication date: 2025/10/09
Siavrienė EvelinaDapkūnas JustasMaldžienė ŽivilėMikštienė VioletaPetraitytė GundaPreikšaitienė Eglė - For test substances with unfavorable physicochemical properties, different pathways of substance depletion such as volatilization or sorption to polymers or serum constituents can decrease the bioavailable fraction during in vitro toxicity testing. If not accounted for, this can lead to underestimated toxicity or even false-negative results. Therefore a thorough understanding of the in vitro test system as well as potential pitfalls and analytical confirmation of substance concentrations are required for reliable results. Here, we investigated the genotoxicity of the monoterpenes (R)-(+)-limonene (RLIM) and β-myrcene (βMYR), the monoterpene alcohol (±)-linalool (LIN) and the known volatile mutagen 1-bromopopane (1-BP) in the mouse lymphoma assay (MLA) and quantified the exposure concentrations. Additionally, a headspace (HS)-free incubation setup is presented which allows for sufficient exposure of suspension cells with volatile test substances. RLim, βMYR and 1-BP, showed rapid and quantitative evaporation during incubation, potentially confounding the outcome of the genotoxicity test which could be minimized in the HS-free incubation setup. Furthermore, extensive binding of RLIM and βMYR to serum constituents was shown to decrease bioavailability during HS-free incubation. While the HS-free incubation setup increased the sensitivity of the MLA for volatile genotoxins, no signs for mutagenicity were observed for the monoterpenes, underscoring their safety. - Source: PubMed
Publication date: 2025/08/31
Jochum Tobias KarlStegmüller SimoneRichling Elke - Cross-resolution person re-identification (CR-ReID) aims to match low-resolution (LR) and high-resolution (HR) images of the same individual. To reduce the cost of manual annotation, existing unsupervised CR-ReID methods typically rely on cross-resolution fusion to obtain pseudo-labels and resolution-invariant features. However, the fusion process requires two encoders and a fusion module, which significantly increases computational complexity and reduces efficiency. To address this issue, we propose a robust labeling and invariance modeling (RLIM) framework, which utilizes a single encoder to tackle the unsupervised CR-ReID problem. To obtain pseudo-labels robust to resolution gaps, we develop cross-resolution robust labeling (CRL), which utilizes two clustering criteria to encourage cross-resolution positive pairs to cluster together and exploit the reliable relationships between images. We also introduce random texture augmentation (TexA) to enhance the model's robustness to noisy textures related to artifacts and backgrounds by randomly adjusting texture strength. During the optimization process, we introduce the resolution-cluster consistency loss, which promotes resolution-invariant feature learning by aligning inter-resolution distances with intra-cluster distances. Experimental results on multiple datasets demonstrate that RLIM not only surpasses existing unsupervised methods, but also achieves performance close to some supervised CR-ReID methods. Code is available at https://github.com/zqpang/RLIM. - Source: PubMed
Pang ZhiqiZhao LinglingLiu YangWang ChunyuSharma Gaurav