Dec 25, 2024 · PTAFR (Platelet Activating Factor Receptor) is a Protein Coding gene. Diseases associated with PTAFR include Anaerobic Pneumonia and Acute Pancreatitis. Among its related pathways are GPCR downstream signalling and Class A/1 (Rhodopsin-like receptors).

作者通过geo芯片分析发现一种ad早期在脑组织、外周血和脑脊液里均显著上调的可用于ad早期诊断的生物标志物——ptafr，并揭示了ptafr抑制小胶质细胞中il10-stat3 信号恶化神经元炎性微环境，促进ad发生的分子机制。

PAF 与 PAF 受体 (PAFR) 的结合可刺激多种信号转导通路，包括磷脂酶 C、D、A2、丝裂原活化蛋白激酶 (MAPK) 和磷脂酰肌醇-钙第二信使系统。 PAFR 激活后，细胞迅速脱敏，这种难治性状态依赖于 PAFR 磷酸化、内化和下调。 可变剪接导致多个转录本变体。 [RefSeq 提供，2011 年 8 月] This gene encodes a seven-transmembrane G-protein-coupled receptor for platelet-activating factor (PAF) that localizes to lipid rafts and/or caveolae in the cell membrane.

[5] [6] It is encoded in the human by the PTAFR gene. The PAF receptor shows structural characteristics of the rhodopsin (MIM 180380) gene family and binds platelet-activating factor (PAF).

PAF (1-0-alkyl-2-acetyl-sn-glycero-3-phosphorylcholine) is a phospholipid that plays a significant role in oncogenic transformation, tumor growth, angiogenesis, metastasis, and pro-inflammatory processes.

PAF与PAF受体（PAFR）结合会刺激多种信号转导途径，包括磷脂酶C、D、A2、丝裂原活化蛋白激酶（MAPK）和磷脂酰肌醇钙第二信使系统。 PAFR激活后，细胞会迅速失去敏感性，这种耐受状态取决于PAFR磷酸化、内化和下调。 替代剪接产生多种转录变体。 [由RefSeq提供，2011年8月] Dir./Indir. Characterization of single-nucleotide polymorphisms in coding regions of human genes. Complete sequencing and characterization of 21,243 full-length human cDNAs.

本文详细介绍了ptafr基因的突变类型及其可能的影响，包括点突变、插入缺失、剪接突变等，并探讨了这些突变如何影响基因功能和疾病风险。 ptafr基因的突变类型及其影响 ptafr基因，也就是血小板活化因子受体基因，位于1号染色体上，主要负责编码一种与血小板活化因子结合的受体蛋白。

PAF (1-0-alkyl-2-acetyl-sn-glycero-3-phosphorylcholine) is a phospholipid that plays a significant role in oncogenic transformation, tumor growth, angiogenesis, metastasis, and pro-inflammatory processes.

Nov 2, 2024 · Binding of PAF to the PAF-receptor (PAFR) stimulates numerous signal transduction pathways including phospholipase C, D, A2, mitogen-activated protein kinases (MAPKs), and the phosphatidylinositol-calcium second messenger system.

Jan 4, 2025 · Weighted gene co-expression network analysis of gene modules for the prognosis of esophageal cancer yielded PTAFR and FGR as the most important hub genes for predicting patient survival.