ANAPC4
- Known as:
- ANAPC4
- Catalog number:
- 001553A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ANAPC4
Related genes to: ANAPC4
- Gene:
- ANAPC4 NIH gene
- Name:
- anaphase promoting complex subunit 4
- Previous symbol:
- -
- Synonyms:
- APC4
- Chromosome:
- 4p15.2
- Locus Type:
- gene with protein product
- Date approved:
- 2004-01-13
- Date modifiied:
- 2016-10-05
Related products to: ANAPC4
Related articles to: ANAPC4
- (CT) infection is one of the most prevalent sexually transmitted infections (STIs) worldwide and has been consistently associated with adverse reproductive outcomes, including female infertility. However, the molecular mechanisms underlying this association remain incompletely understood. This study aimed to investigate whether genes previously associated with female infertility display altered expression patterns in response to CT infection by reanalyzing publicly available transcriptomic data derived from a human in vitro infection model. : An integrative in silico approach was employed. A curated list of 106 genes associated with female infertility was compiled from publicly available databases and integrated with transcriptomic data from the Gene Expression Omnibus (GEO) dataset GSE109428, which profiles primary human fallopian tube mesenchymal cells infected in vitro with CT serovar L2. Gene expression changes were evaluated at two time points (24 and 48 h post-infection) by comparing infected cells with uninfected control samples, followed by functional and phenotype enrichment analyses. : One female infertility-associated gene () was consistently dysregulated at both 24 and 48 h post-infection. In addition, fourteen genes (, , , , , , , , , , , , , and ) became significantly dysregulated exclusively at 48 h post-infection, indicating a time-dependent host transcriptional response to CT infection. Functional and phenotype enrichment analyses revealed associations with biological processes related to embryonic development and meiosis, as well as phenotypes linked to female infertility. These enriched terms were supported by a small subset of genes and were therefore interpreted cautiously. Overall, these findings suggest that CT infection modulates the expression of several infertility-associated genes and may influence biological pathways critical for female reproductive function. While exploratory, this study provides a molecular context that aligns with previously reported associations between CT infection and female infertility. - Source: PubMed
Publication date: 2026/03/01
Rodrigues RafaelaSousa CarlosVale Nuno - Ambient air pollution aggravates cardiovascular-kidney-metabolic (CKM) disorders and sarcopenia, yet the shared genetic and epigenetic mechanisms that underlie their frequent co-occurrence remain poorly understood. - Source: PubMed
Publication date: 2025/11/19
Wei ShuxuShu ZhouwuLi XinyiZhong SuiqinXiao LingShen RonghuaiLu XiaojiaHe LingbinZhang YoutiQuan YanHuang Xianxi - Osteoarthritis (OA) often coexists with metabolic traits (MTs), causing significant disability. Our study aims to uncover the shared genetic mechanisms between OA and MTs, revealing novel OA-MT related genes, proteins and pathways. - Source: PubMed
Publication date: 2025/10/28
Liao BinzhiMu YumengLuo MengliangLiu YinjiangYang QingtaoYang HaiboYe JihuaWu YuanyuanCheng FeifeiSun XiandingNie Mao - Women are susceptible to hormonal imbalances and endocrine-related disorders such as Polycystic Ovary Syndrome (PCOS), Ovarian Cancer (OC), and Major Depressive Disorder (MDD). This study aims to identify gene-level interconnections among these conditions using omics-based bioinformatic approaches. Publicly available GEO datasets, viz., GSE226146 (PCOS), GSE18520 (OC), and GSE125664 (MDD), were analyzed, which in total resulted in 21,366 differentially expressed genes (DEGs), including 11,174 upregulated and 10,198 downregulated genes. Common genes PTTG1 and PID1 were identified using Venny 2.0. A protein-protein interaction (PPI) network was constructed using STRING, and 10 hub genes (ANAPC5, ANAPC2, PTTG1, FZR1, ANAPC4, CDC20, CDC27, ANAPC10, UBE2C, and BUB1) were identified using CytoHubba based on MCC scoring. Functional enrichment analysis showed significant involvement of these genes in oocyte meiosis, progesterone-mediated oocyte maturation, mitotic regulation, and metaphase-anaphase transition (p < 0.05). PTTG1, identified as both a common and hub gene, was downregulated in PCOS and upregulated in OC and MDD. Drug-gene interaction analysis using DSigDB via Enrichr identified Alvespimycin (for PCOS) and Gefitinib (for OC) as drugs targeting PTTG1. Molecular docking using AutoDock 4.2.6 showed that Alvespimycin and Ephedrone bind PTTG1 with a binding affinity of - 4.59 kcal/mol and - 5.81 kcal/mol, respectively, while Gefitinib showed - 4.92 kcal/mol, slightly less than Troglitazone (-5.3 kcal/mol) for OC. This study highlights PTTG1 as a shared molecular link among PCOS, OC, and MDD, suggesting its potential as a therapeutic target and providing insights into the genetic and physiological overlap of these conditions. - Source: PubMed
Publication date: 2025/09/05
Kumari KavitaSingh AakanshaDwivedi Anjana - Cattle body size measurements constitute the conformation traits that facilitate their production, fertility, and longevity status. Prioritizing functional variants and causal genes of conformation traits is essential for understanding their genetic basis. In this study, we conducted single-trait and multitrait GWAS for 20 body conformation traits using imputed sequence data in 7,674 Chinese Holstein individuals and identified 27 QTL regions. Leveraging these QTL regions, we performed multitrait Bayesian fine-mapping to identify 30 independent credible sets of putative causal variants. Incorporating GWAS and cis-acting expression QTL data, Mendelian randomization was used to infer 153 putative causal gene-trait relationships. The previously reported genes, such as CCND2, TMTC2, and NRG3, were confirmed in our study. Of note, several novel candidate causal genes were also identified, such as C1R, RIMS1, SERPINB8, NETO2, TTYH3, TTC3, ANAPC4, and PSMD13. Our results provide new insights into the regulatory mechanisms of body conformation traits in cattle. - Source: PubMed
Publication date: 2025/05/16
Teng JunDuan ChongweiZhang XinyiChen ZhujunNing ChaoLi RonglingGao YundongGao HongdingLiu HuimingLi JianbinWang XiaoZhang Qin