Immunohistochemistry method for measuring autophagy flux using MAP1LC3/LC3 and SQSTM1 as core markers
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Macroautophagy/autophagy is a crucial cellular process for degrading and recycling damaged proteins and organelles, playing a significant role in diseases such as cancer and neurodegeneration. Evaluating autophagy flux, which tracks autophagosome formation, maturation, and degradation, is essential for understanding disease mechanisms. Current fluorescence-based methods are resource-intensive, requiring advanced equipment and expertise, limiting their use in clinical laboratories. Here, we introduce a non-fluorescent immunohistochemistry (IHC) method using MAP1LC3/LC3 and SQSTM1 as core markers for autophagy flux assessment. LC3 levels reflect autophagosome formation, whereas SQSTM1 degradation and a decrease in the number of its puncta indicate active flux (i.e., lysosomal turnover). We optimized chromogenic detection using diaminobenzidine (DAB) staining and developed a scoring system based on puncta number and the percentage of stained cells. This accessible, cost-effective method en..., Day 1
1. De-paraffinize and rehydrate slides. Carry out the following exchange at room temperature, manually in Coplin jars (Millipore-Sigma, S5641), or using an automated embedding system. See Notes and Tips 3.
· Warm the slides at 60oC for 30 min in the Coplin jar.
· Place the slides in xylene for 5 min (3X), being sure to cover the samples in this and all subsequent steps.
· Place the slides in 100% ethanol for 1 min (2X).
· Place the slides in 95% ethanol for 1 min.
· Place the slides in 70% ethanol for 1 min.
· Wash with running tap water for 1 min.
· Place the slides in PBS for 1 min (3X).
2. Heat-induced antigen retrieval:
· Pre-warm citrate buffer i..., , # Tissue Microarray
[https://doi.org/10.5061/dryad.brv15dvkn](https://doi.org/10.5061/dryad.brv15dvkn)
### **Description of the data and file structure**
*It is Tissue microarray data*
**Code/software**
Any software for image (adobe photoshop, image j) and excel/csv.
**1. File Name:**
**P62(SQSTM1).csv**
This dataset presents **immunohistochemistry (IHC)-based autophagy flux assessment**, focusing on key autophagy markers: **P62 (SQSTM1)**. Unlike fluorescence-based techniques, IHC offers a **non-fluorescent approach** to evaluating **autophagic activity in formalin-fixed, paraffin-embedded (FFPE) tissues**, making it a powerful tool for retrospective pathological analyses. The dataset enables **quantitative scoring of P62 puncta**, providing insights into **autophagy flux status** in various tissue contexts.
**Structure of the Dataset**
The dataset consists of the following key variables:
* **Pos.**: Position identifier in the **tissue microarray (TMA)**.
* **No**: Continuou...,
巨自噬(Macroautophagy,又称自噬(autophagy))是降解和回收受损蛋白质与细胞器的关键细胞过程,在癌症、神经退行性疾病等多种疾病中发挥重要作用。评估自噬流——即追踪自噬体的形成、成熟与降解过程——对于阐明疾病发病机制至关重要。当前基于荧光的检测方法资源消耗极大,需要高端设备与专业技术知识,限制了其在临床实验室中的应用。本文介绍了一种以MAP1LC3/LC3和SQSTM1为核心标记物的非荧光免疫组织化学(immunohistochemistry,IHC)方法,用于自噬流评估。LC3水平可反映自噬体的形成,而SQSTM1的降解及其点状聚集数量减少则提示自噬流活跃(即溶酶体周转过程正常)。我们优化了基于二氨基联苯胺(diaminobenzidine,DAB)染色的显色检测方案,并开发了基于点状聚集数量与染色细胞百分比的评分系统。该便捷且具成本效益的方法……(原文此处截断) Day 1
1. 玻片脱蜡与复水:室温下于Coplin染色缸(Millipore-Sigma,货号S5641)中手动完成以下试剂更换流程,或使用自动化包埋系统操作。详见注意事项与技巧3。
· 将玻片置于Coplin缸中,60℃预热30分钟。
· 将玻片置于二甲苯中孵育5分钟,重复3次;本步骤及后续所有步骤均需确保样本完全浸没于试剂中。
· 将玻片置于100%乙醇中孵育1分钟,重复2次。
· 将玻片置于95%乙醇中孵育1分钟。
· 将玻片置于70%乙醇中孵育1分钟。
· 用流动自来水冲洗玻片1分钟。
· 将玻片置于磷酸盐缓冲液(PBS)中孵育1分钟,重复3次。
2. 热诱导抗原修复:
· 预温柠檬酸盐缓冲液……(原文此处截断)
# 组织微阵列
[https://doi.org/10.5061/dryad.brv15dvkn](https://doi.org/10.5061/dryad.brv15dvkn)
### 数据与文件结构说明
本数据集为组织微阵列数据。
**代码与软件**
可使用任意图像处理软件(如Adobe Photoshop、Image J)及Excel/CSV工具。
**1. 文件名:**
**P62(SQSTM1).csv**
本数据集聚焦于基于免疫组织化学(IHC)的自噬流评估,核心检测指标为关键自噬标记物P62(SQSTM1)。与基于荧光的检测技术不同,免疫组织化学法可对福尔马林固定石蜡包埋(formalin-fixed, paraffin-embedded,FFPE)组织的自噬活性进行非荧光检测,是回顾性病理分析的有力工具。本数据集可实现P62点状聚集的定量评分,为多种组织背景下的自噬流状态提供分析依据。
**数据集结构**
本数据集包含以下核心变量:
* **Pos.:** 组织微阵列(Tissue Microarray, TMA)中的位置标识符。
* **No:** 连续编号……
创建时间:
2025-03-13



