Ask about this productRelated genes to: RANKL protein
- Gene:
- TNFSF11 NIH gene
- Name:
- TNF superfamily member 11
- Previous symbol:
- -
- Synonyms:
- TRANCE, RANKL, OPGL, ODF, CD254
- Chromosome:
- 13q14
- Locus Type:
- gene with protein product
- Date approved:
- 1998-12-04
- Date modifiied:
- 2017-03-02
Related products to: RANKL protein
Related articles to: RANKL protein
- Human periodontal ligament fibroblasts (PDLFs) can acquire osteoblast-like characteristics within periodontal lesions and contribute to osteoclastogenesis through the expression of receptor activator of nuclear factor (NF) κB ligand (RANKL). However, the microbial and cellular conditions required for RANKL induction remain unclear. This study compared the microbial responsiveness of undifferentiated and osteoblast-like PDLFs to clarify the mechanisms regulating RANKL expression. - Source: PubMed
Abe MasayoKamijyo KoheiOda ShintaroSakagami HiroshiHayashi JoichiroInomata Megumi - Altered glial function, and increased proinflammatory cytokines are associated with behavioral and cognitive problems seen in autism spectrum disorder (ASD). In this study, we aimed to investigate the neuroinflammatory process in ASD and the relationship between neuroinflammatory markers and the severity of autism symptoms. - Source: PubMed
Kara BülentSavaş MerveÖzer TolgahanŞişmanlar Şahika GülenAkarsu RemziyeÖztürk Sinem YavuzAkpinar Şeyma NurDeniz AdnanGüneş Ayfer SakaryaDursun FulyaAkkoyunlu Deniz SünnetçiÇine NaciTüzün Erdem - The objective of this study was to evaluate the effects of fermented soy extract (FSE) on bone metabolism and neuroendocrine regulation in an ovariectomized (OVX) mouse model of postmenopausal conditions. FSE administration improved bone microarchitecture and modulated key markers associated with bone turnover, including reduced CTX-1 and RANKL levels and increased OPG expression, indicating suppression of osteoclastogenesis. In addition, FSE enhanced estrogen receptor-related activity and upregulated genes involved in bone metabolism. Notably, FSE also increased estradiol, serotonin, and norepinephrine levels, suggesting a beneficial role in neuroendocrine regulation. Collectively, these findings indicate that FSE may serve as a promising natural intervention for alleviating postmenopausal bone loss and neuroendocrine imbalance, supporting its potential application in functional nutrition. - Source: PubMed
Chandimali NisansalaBak Seon GyeongHong Seong-MinHwang Ji YoungKwon Hyuck SeBae JaehoonCheong Sun HeeLee Seung-Jae - Body size traits serve as crucial phenotypic indicators of body conformation and growth, showing a close correlation with production performance. To elucidate the genetic basis of these traits and identify potential molecular markers in Saanen dairy goats, we analyzed low-coverage whole-genome sequencing (lcWGS) data from 635 individuals. Following genotype imputation based on an in-house goat reference panel, we obtained 14 million single-nucleotide polymorphisms (SNPs) and 45 thousand structural variants (SVs). Genetic parameters were estimated using SNP data. Subsequently, single-trait (ST) and multi-trait genome-wide association studies (MT-GWAS) were conducted using both SNP and SV datasets. Results indicated that body height, body length, and rump height possess moderate heritability, with positive genetic and phenotypic correlations observed among these traits. ST-GWAS identified 56 significant SNPs and 3 significant SVs, mapping to 30 candidate genes, including , , and . Furthermore, MT-GWAS detected 2 significant SNPs and 2 significant SVs missed by ST-GWAS, identifying 4 additional candidate genes (, , , and ). Notably, overlapping association signals for body length and rump height were observed near on chromosome 10, with colocalization analysis supporting the existence of a shared causal variant in this region. KEGG enrichment analysis indicated that candidate genes were primarily enriched in fatty acid biosynthesis and related metabolic pathways. In conclusion, this study shows that integrating structural variants into MT-GWAS can reveal association signals beyond those captured by SNPs, providing a theoretical basis for marker-assisted selection and precision breeding for body conformation. - Source: PubMed
Feng Yan-ShuaiLi Jia-XinZhao Jiong-YaoCao Jia-leWang Xing-QuanYao XiaotingFu Ji-AqiWang Xi-Hong - The widespread implementation of low-dose computed tomography (LDCT) has markedly increased the detection of pulmonary nodules, yet their genetic determinants remain poorly understood. We conducted a genome-wide association study (GWAS) of 36 175 LDCT-screened individuals from Zhejiang and Jiangsu provinces in China, assessing fourteen pulmonary nodule phenotypes defined using a convolutional neural network-based computer-aided detection (CNN-CAD) system. We identified eleven independent single-nucleotide polymorphisms (SNPs) at nine loci associated with nodule phenotypes. Functional annotation prioritized six candidate genes with either missense variants or strong colocalization evidence, including TP63 at 3q28, PLA2G4F at 15q15.1, HLA-DRB6 and CYP21A2 at 6p21.32, TNFSF11 at 13q14.11, and TNFRSF11B at 8q24.12. These genes were enriched in pathways related to cell adhesion, chemotaxis, cytokine activity, and lymphocyte activation. Several of the identified variants-associated with non-solid components, nodule size, and the number of positive nodules-were also significantly associated with increased malignancy probability of pulmonary nodules. Genetic correlation analysis revealed a substantial shared genetic basis between purely ground-glass nodules (pGGNs) and lung adenocarcinoma (LUAD) (rg = 0.79; 95% CI, 0.16-1.42; P = 0.014), and Mendelian randomization (MR) further supported a potential causal relationship, with an odds ratio (OR) of 51.1 (95% CI: 1.13-2035.31). These findings offer novel insights into the genetic architecture of pulmonary nodules and highlight a substantial genetic overlap between pGGNs and LUAD, which may inform risk prediction and precision prevention in lung cancer screening. - Source: PubMed
Zhang JiahaoZhu ChenLi QiaoSong CiZhu MengJi ChenWu LiliZhu LingyingLu JingZhang QunWu FeiyunJin ChenMou YuanlinZhu MingxuanCai JiayingZhang CaochenFu YatingGong LinnanHang DongDai JunchengJiang YueShi LeiJin GuangfuHu ZhibinShen HongbingDu LingbinMa Hongxia