Ask about this productRelated genes to: RHAG antibody
- Gene:
- RHAG NIH gene
- Name:
- Rh associated glycoprotein
- Previous symbol:
- -
- Synonyms:
- RH50A, CD241, SLC42A1
- Chromosome:
- 6p12.3
- Locus Type:
- gene with protein product
- Date approved:
- 1993-11-30
- Date modifiied:
- 2019-04-23
Related products to: RHAG antibody
Related articles to: RHAG antibody
- This study investigated the role of the Rhesus (Rh) gene family in the adaptation to high alkalinity in Gymnocypris eckloni. We employed bioinformatic analysis of the Rh gene family based on G. eckloni genome data, along with alkalinity stress experiments and gene expression analysis. The results revealed that the Rh gene family in G. eckloni comprises seven members, encoding proteins ranging from 425 to 489 amino acids. Analyses of the motifs, domains, and gene structure all indicated high conservation among family members, albeit with considerable variation in gene structure. Chromosomal localization showed that the Rh genes were distributed across six chromosomes. Predictions of subcellular localization and transmembrane helices confirmed that Rh glycoproteins are transmembrane proteins containing 9-12 transmembrane helices. Under carbonate alkalinity stress, blood ammonia levels in G. eckloni gradually increased and then declined after 48 h of exposure. Gene expression studies demonstrated significant upregulation of Rhag, Rhbg, and Rhcg2a in gill tissue and Rhbg, Rhcg2a, and Rhcg2b in skin tissue after stress exposure. In the kidney, Rhag and Rhcg1 were significantly upregulated, with Rhd exhibiting the highest expression levels. In contrast, liver gene expression was generally low, with only Rhcg2a and Rhcg2b showing significant upregulation after prolonged, high-concentration stress exposure. Western blot analysis of selected Rh proteins (Rhag, Rhbg, Rhcg) in the gill, skin, and kidney revealed that their expression was upregulated following alkalinity stress, largely consistent with the trends observed at the transcript level. This further elucidated the tissue-specific roles of Rh gene family members in ammonia transport: in gill tissue, Rhag, Rhbg, Rhcg1, and Rhcg2a coordinately participate in the ammonia excretion process; in skin tissue, ammonia excretion is primarily mediated by Rhbg, Rhcg2a, and Rhcg2b; in kidney tissue, Rhcg1 plays a key role, and this process may be independent of Rhbg. In contrast, the liver plays a relatively limited role in ammonia excretion. Based on gene expression data, Rhd appears unrelated to ammonia excretion. Although the expression trends of Rh50 (transcript level) paralleled those of Rhag across tissues, its specific function requires further investigation.. This study reveals the expression patterns and suggests potential roles of Rh gene family members in ammonia transport in G. eckloni, providing a preliminary scientific basis for further functional studies and the conservation of this species. - Source: PubMed
Publication date: 2026/04/27
Guo ShouquanLiu DanZhang CunfangNie MiaomiaoYao ZhanwenLi YingTian FeiQi DelinXia Mingzhe - - Source: PubMed
Publication date: 2026/03/17
Wang MinJia ShuangshuangZhou ShanshanLi ShihuiLiu Qian - Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young and middle-aged adults. However, current diagnosis relies primarily on imaging findings and clinical manifestations, as stable and reliable molecular biomarkers for adjunctive diagnosis and risk stratification remain lacking, thereby hindering timely and effective intervention. Aberrant lactate metabolism is thought to contribute to the onset and progression of various inflammatory diseases by reshaping the inflammatory microenvironment and reprogramming immune responses. However, its role and regulatory mechanisms in SONFH remain understudied. In this study, we analyzed transcriptomic data from SONFH patients in the GEO database, integrating differential expression analysis with weighted gene co-expression network analysis (WGCNA) to identify SONFH-associated genes and co-expression modules. Cross-screening with lactate-related genes (LRGs) curated in the MSigDB database yielded a set of LRGs closely associated with SONFH. Unsupervised consensus clustering was then applied to stratify patients into molecular subtypes, and a machine-learning-based diagnostic model was constructed. In parallel, gene set variation analysis (GSVA) and CIBERSORT were used to characterize metabolic states and immune cell infiltration across subtypes, with a focus on LRGs implicated in metabolic reprogramming and immune dysregulation. Finally, bone marrow-derived mesenchymal stem cells (BMSCs) were collected from Sprague-Dawley rats and humans, along with peripheral blood from patients, and in vitro experiments confirmed significant downregulation of BPGM, FBXL4, and RHAG in SONFH, genes closely linked to bone metabolic imbalance and immune microenvironment remodeling. Collectively, these findings systematically elucidate the potential molecular regulatory role of LRGs in SONFH and provide a theoretical basis for its auxiliary diagnosis and the development of targeted therapeutic strategies. - Source: PubMed
Wang ZehuaDong ShuhangXu KaigeTang XinyuGuo SijiaJiang YapingZhang YingzeLi Tao - Digital holography is one of the key technologies for acquiring wavefront information of three-dimensional objects, and obtaining high-quality holograms is a prerequisite. To address the issue of low-resolution holograms caused by pixel size limitations and diffraction effects in imaging sensors (CCD/CMOS), the common approach involves using large datasets for super-resolution reconstruction through deep-learning methods. Due to hardware limitations and constraints in the experimental environment, it is more difficult to create large datasets. To address this challenge, this study proposes a small-sample super-resolution reconstruction framework based on holographic super-resolution CFAT (HSR-CFAT), for the first time, to the best of our knowledge. The HSR-CFAT model uses a residual hybrid attention group (RHAG) to fuse the hybrid attention block dense (HAB_D), hybrid attention block sparse (HAB_S), and overlapping cross-attention block (OCAB). Together with sliding window attention (SWA) and dynamic-resolution processing, it efficiently extracts multi-scale features to generate high-precision computer-generated holograms (CGHs). Further optimization of computational efficiency and phase accuracy through the phase-aware upsampling (PAU) module, achieving robust pixel-level reconstruction and overcoming the reliance of traditional methods on large datasets. A small-scale dataset was constructed by collecting 377 multi-view holograms. Super-resolution processing was performed directly on the holograms to overcome sensor pixel limitations, and the phase reconstruction module was fused to generate high-resolution phase images. The experimental results demonstrate that the network can process the collected multi-scale holographic images effectively, achieving significantly better performance than existing methods in terms of both subjective visual quality and objective evaluation metrics. This opens up a new technical pathway for super-resolution reconstruction in off-axis digital holographic imaging. - Source: PubMed
Wei SiyuWang ChaoZhao TianciChen JieZhang YuziruiTang XinKong Yong - The D-- phenotype is an extremely rare RhCE variant characterized by the complete absence of RhCE antigens in the Rh blood group system and is associated with a highly complex molecular mechanism. In this study, several D-- individuals with discrepancies between phenotypic and genotypic results were analyzed, and a complex RH gene inversion-recombination variant with a novel breakpoint was identified via multi-platform analyses. - Source: PubMed
Publication date: 2025/12/11
Ying YanlingZhang JingjingHong XiaozhenYuan WenjingZhang BingHuang XinyuXu XianguoZhu Faming