Ask about this productRelated genes to: MXRA7 antibody
- Gene:
- MXRA7 NIH gene
- Name:
- matrix remodeling associated 7
- Previous symbol:
- -
- Synonyms:
- FLJ46603, TMAP1, PS1TP1
- Chromosome:
- 17q25.1
- Locus Type:
- gene with protein product
- Date approved:
- 2000-06-15
- Date modifiied:
- 2016-05-13
Related products to: MXRA7 antibody
Related articles to: MXRA7 antibody
- Frailty, a clinical state of increased vulnerability to stressors with aging, imposes significant strain on healthcare systems. Its genetic underpinnings remain incompletely explored, highlighting the need to identify novel therapeutic targets for aging. - Source: PubMed
Publication date: 2026/04/01
Zhong JiaYuYuan MingHaoZhou EnHu Shuo - Bladder cancer (BLCA) is a malignant tumour that occurs on the mucosa of the bladder. It accounts for the first place in the incidence of genitourinary tumours in China. BLCA is characterized by high recurrence rate and poor survival rate. There is still a research gap regarding super-enhancer-related genes (SERGs) in BLCA. - Source: PubMed
Publication date: 2026/03/23
Xu LieyuZeng ZhenhaoZou XinchangZhu ZunweiZeng Tao - Previous observational studies have indicated a significant correlation between plasma proteome composition and cataract pathological status; however, the direction of causality remains uncertain. In light of the aforementioned findings, the present study employs a bidirectional two-sample Mendelian randomisation strategy, with the objective of elucidating the direct causal link between plasma proteome changes and cataract development. Following rigorous data analysis and validation, a series of plasma proteins were identified as being strongly associated with cataract risk. These included ILF3, FAM171A1, ARHGEF2, LPR1B, CRYGD, GLT8D1, ARHGEF10 and LRRTM1, all of which were confirmed to be potential risk factors for cataract. In contrast, proteins such as MXRA7, ZHX3, SPAG11B, ARID1A, DNASE1L2, COX7A1 and EEF2K were found to exert a protective effect against cataract. To gain further insight into the specific mechanisms by which these causally related proteins contribute to cataract pathology, we subsequently performed an exhaustive bioinformatics analysis. This analysis not only deepened our understanding of the functional properties of these proteins, but also revealed their possible involvement in signalling pathways and molecular interactions, thereby providing new insights into the pathogenesis of cataract. - Source: PubMed
Publication date: 2025/12/17
Han XuanWang JinyanSu XiaojuanGuo XingyuYe Hejiang - Aortic stenosis (AS) is a prevalent valvular heart disease that is increasing due to aging population and longer life expectancy. While most individuals have a tricuspid aortic valve (TAV), some are congenitally born with a bicuspid aortic valve (BAV). The mechanisms underlying AS pathogenesis remain unclear, limiting advancements in clinical treatment and biomedical research. This study aimed to identify differentially expressed protein (DEPs) in aortic valve interstitial cells (VICs) from AS patients with TAV and BAV using quantitative proteomic analysis. - Source: PubMed
Publication date: 2025/09/01
Song NaaleumYu JiyoungJi EunhyeYoon JinChoi Kyoung-HeeYu Jeong EunKim BokyungKim JihyeonKim MinjoongLee SahminKim KyunggonAikawa Elena - Posterior capsule opacification (PCO), a frequent complication of cataract surgery, arises from dysregulated wound healing and fibrotic transformation of residual lens epithelial cells. While transcriptomic and machine learning (ML) approaches have elucidated fibrosis-related pathways in other tissues, the molecular divergence between regenerative and fibrotic outcomes in the lens remains unclear. Here, we used an ex vivo chick lens injury model to simulate post-surgical conditions, collecting RNA from lenses undergoing either regenerative wound healing or fibrosis between days 1-3 post-injury. Bulk RNA sequencing data were normalized, log-transformed, and subjected to univariate filtering prior to training LASSO, SVM, and RF ML models to identify discriminatory gene signatures. Each model was independently validated using a held-out test set. Distinct gene sets were identified, including fibrosis-associated genes (, gga-miR-143, RF00072) and wound-healing-associated genes (), with several achieving perfect classification. Gene Set Enrichment Analysis revealed divergent pathway activation, including extracellular matrix remodeling, DNA replication, and spliceosome associated with fibrosis. RT-PCR in independent explants confirmed key differential expression levels. These findings demonstrate the utility of supervised ML for discovering lens-specific fibrotic and regenerative gene features and nominate biomarkers for targeted intervention to mitigate PCO. - Source: PubMed
Publication date: 2025/08/01
Lalman CatherineStabler Kylie RYang YiminWalker Janice L