PTGER3 _ EP3
- Known as:
- PTGER3 _ EP3
- Catalog number:
- Y214010
- Product Quantity:
- 200ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- PTGER3 _ EP3
Related genes to: PTGER3 _ EP3
- Gene:
- PTGER3 NIH gene
- Name:
- prostaglandin E receptor 3
- Previous symbol:
- -
- Synonyms:
- EP3
- Chromosome:
- 1p31.1
- Locus Type:
- gene with protein product
- Date approved:
- 1994-07-29
- Date modifiied:
- 2016-10-05
Related products to: PTGER3 _ EP3
Related articles to: PTGER3 _ EP3
- Differential fecundity in goats is a complex trait governed by coordinated molecular regulation across reproductive and endocrine tissues. In this study, we performed integrated metabolomic profiling of follicular fluid, serum, thyroid tissue, and uterine luminal fluid together with transcriptomic sequencing of follicular, thyroid, and uterine horn tissues from high-fecundity (HF) and low-fecundity (LF) Yangtze River Delta White goats. In addition, weighted gene co-expression network analysis (WGCNA) was conducted to elucidate the molecular mechanisms underlying differential litter size. High-fecundity goats exhibited enhanced follicular steroidogenesis, superior corpus luteum function, and more stable hypothalamic-pituitary-thyroid (HPT) axis activity, accompanied by increased uterine gland density and greater myometrial thickness. Metabolomic profiling identified 6640 metabolites displaying tissue-specific differential abundance patterns. Pathway enrichment analysis highlighted steroid hormone biosynthesis and energy metabolism in follicular fluid, PPAR signaling and tyrosine metabolism in thyroid tissue, and glycerophospholipid and one-carbon metabolism in uterine luminal fluid as major pathways associated with fecundity. Transcriptomic analysis identified 1596 differentially expressed genes (DEGs), including 20 genes shared across all examined tissues, constituting a systemic molecular signature associated with fecundity. WGCNA further revealed three functional tissue axes associated with follicular development (, , ), thyroid endocrine regulation (, ), and uterine receptivity (, , ). Low-fecundity-associated modules were predominantly concentrated in follicular and thyroid tissues, whereas the high-fecundity-specific module was mainly enriched in uterine horn. These findings provide a multi-tissue molecular framework underlying differential fecundity in goats and identify candidate hub genes and metabolites that may serve as candidate biomarkers for fecundity assessment and selective breeding programs. - Source: PubMed
Publication date: 2026/07/02
Sun JiahaoTang WenjunMalyar Rahmani MohammadShi Fangxiong - Stevens-Johnson syndrome (SJS) is a rare and severe mucocutaneous disorder often triggered by medications or infections. Our previous research identified that four key genes, Ikzf1, Ptger3, Mavs, and Tlr3 are involved in SJS susceptibility and the conjunctival epithelial innate immune response, demonstrating their role in regulating interferon-stimulated genes. However, the interplay among these regulatory factors remains unclear. This study aimed to elucidate the crosstalk mechanisms between the pathways regulated by these four genes in conjunctival epithelial cells. We constructed a comprehensive gene regulatory network using transcriptomic data from murine conjunctival epithelial cells under 16 distinct conditions, including polyI:C stimulation across wild-type, knockout, and transgenic backgrounds for the key genes. A targeted network analysis systematically identified numerous candidate genes mediating the crosstalk between the regulatory pathways initiated by Ikzf1, Ptger3, Mavs, and Tlr3. The identified candidates suggest the involvement of diverse signaling pathways previously unlinked to SJS pathology. Our findings suggest that the pathogenesis of SJS may arise not from the dysfunction of isolated genes but from the disruption of a balance maintained by intricate pathway crosstalk. - Source: PubMed
Publication date: 2026/06/18
Watanabe MakotoUeta MayumiNishigaki HiromiMizushima KatsuraNaito YujiKinoshita ShigeruSotozono ChieTakayama Jun - Metastasis is the primary cause of mortality in patients with breast cancer. This study aimed to develop a prognostic signature based on metastasis- and cancer-associated differentially expressed genes (M-CA-DEGs) and to identify potential novel therapeutic genes. - Source: PubMed
Publication date: 2026/05/11
Yao YuanZheng YunshengXie JiancongLiu HonghaoChen ChenCao JieYin Ting-Ting - Sanjie Xiaoliu Granule (SJXLG), a traditional multi-herbal prescription widely used in Chinese medicine, has been historically applied to "disperse nodules, soothe the liver, and relieve depression." It is clinically prescribed for patients with breast lumps, emotional stagnation, and cancer-related depression. However, the pharmacological basis underlying its dual anticancer and antidepressant effects remains poorly understood.This study aimed to evaluate the therapeutic efficacy and elucidate the molecular and metabolic mechanisms of SJXLG in breast cancer with depression (BCD) through integrated experimental and bioinformatics approaches. In vivo and in vitro BCD models were established to assess tumor growth, behavioral performance, and inflammatory cytokine levels. Liquid chromatography-mass spectrometry (LC-MS) identified active constituents of SJXLG. Bioinformatics analyses were used to screen key genes and signaling pathways, followed by validation via qRT-PCR and Western blot. Untargeted metabolomics was applied to explore the metabolic alterations in tumor tissues after SJXLG intervention. - Source: PubMed
Publication date: 2026/05/18
Liu ZhuoTong TianhaoYang RenyiZeng Puhua - Fried food and hazard factors, particularly acrylamide, have been implicated in adverse health outcomes. However, how fried food consumption fuels the development of metabolic associated fatty liver disease (MAFLD) remains poorly understood. - Source: PubMed
Publication date: 2026/04/26
Wan XuzhiLiu XiaohuiMeng DenghuiWang AnliSong XiaoranHuang YingyuZhang FanLin XunanYao JianxinZheng YouyouLu QiTian YimeiFan YileiZhuang PanJiao JingjingZhang Yu