<b>GFAP Degradome Foundation Atlas</b>

This open-access repository introduces the Glial Fibrillary Acidic Protein (GFAP) Degradome Foundation Atlas. This comprehensive dataset annotates proteolytic GFAP fragments with detailed information on their amino acid sequences and protein biochemical properties.Mutations in GFAP can cause Alexander Disease (AxD). The phenotype is heterogenous. The GFAP Degradome Foundation Atlas datasets included 10 GFAP mutations observed in more than 7 people with AxD. These mutation specific datasets may be found informative for ongoing clinical trials in AxD (e.g. antisense oligonucleotides) and targeted selection of GFAP fragments for biomarker based outcome measures and disease monitoring.The datasets are provided in a tab-delimited ASCII file format.To generate the dataset, three tools are required: Python, BLAST, and SAS. The accompanying SAS code, <i>atlas-GFAP.sas</i>, is included in the repository for transparency and reproducibility. The python scripts are also uploaded. Note that you will need to replace the path in the python scripts to match your own requirements.This resource serves as a valuable tool for researchers in neurodegeneration, neurobiology, proteomics, and bioinformatics, offering deeper insights into GFAP degradation and its role in Alexander disease. To explore the full methodology behind the creation, validation, and application of the <b>GFAP Degradome Foundation Atlas</b>, I encourage you to read the original Neurofilament Degradome Atlas paper here: https://doi.org/10.1111/jnc.70023.<br><b>Reference:</b><br>Petzold A. Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome. J Neurochem. 2025 Mar;169(3):e70023. doi: 10.1111/jnc.70023. PMID: 40066701; PMCID: PMC11894590.

本开放获取知识库介绍了**胶质纤维酸性蛋白（Glial Fibrillary Acidic Protein, GFAP）降解组基础图谱（GFAP Degradome Foundation Atlas）**。本综合数据集对蛋白水解产生的GFAP片段进行注释，提供了其氨基酸序列与蛋白质生化特性的详细信息。GFAP突变可引发亚历山大病（Alexander Disease, AxD），该疾病表型具有异质性。GFAP降解组基础图谱数据集收录了在7名以上亚历山大病患者中发现的10种GFAP突变。这些针对特定突变的数据集，可为亚历山大病当前开展的临床试验（如反义寡核苷酸疗法）提供参考，同时有助于靶向筛选GFAP片段，用于基于生物标志物的疗效评估与疾病监测。本数据集以制表符分隔的ASCII文件格式提供。数据集生成需使用三款工具：Python、BLAST与SAS。为保障研究的透明性与可重复性，知识库中附带了配套的SAS代码文件`atlas-GFAP.sas`。相关Python脚本亦已上传，请注意需根据自身需求修改脚本中的文件路径。本资源可为神经退行性疾病、神经生物学、蛋白质组学及生物信息学领域的研究人员提供重要工具，助力深入探究GFAP的降解过程及其在亚历山大病中的作用机制。若需了解**GFAP降解组基础图谱（GFAP Degradome Foundation Atlas）**的构建、验证与应用全流程方法，建议参阅原文《Neurofilament Degradome Atlas》相关研究：https://doi.org/10.1111/jnc.70023。<br><b>参考文献：</b><br>Petzold A. 基于蛋白水解的神经丝蛋白质组生物标志物库. 神经化学杂志（J Neurochem）. 2025年3月;169(3):e70023. DOI: 10.1111/jnc.70023. PMID: 40066701; PMCID: PMC11894590.

搜集汇总

背景与挑战

背景概述

该数据集是一个开放获取的GFAP降解组基础图谱，详细注释了蛋白水解GFAP片段的氨基酸序列和生化特性，包含10个与亚历山大病相关的突变数据，适用于临床研究和生物标志物开发。数据以制表符分隔的ASCII格式提供，附带分析工具代码，支持神经退行性疾病和蛋白质组学领域的研究。