<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>间充质亚型 on Superhyydl's Blog</title><link>https://blog.superhyydl.org/tags/%E9%97%B4%E5%85%85%E8%B4%A8%E4%BA%9A%E5%9E%8B/</link><description>Recent content in 间充质亚型 on Superhyydl's Blog</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.superhyydl.org/tags/%E9%97%B4%E5%85%85%E8%B4%A8%E4%BA%9A%E5%9E%8B/index.xml" rel="self" type="application/rss+xml"/><item><title>精读 | LY96的双重角色：维持间充质胶质母细胞瘤干细胞并重编程巨噬细胞</title><link>https://blog.superhyydl.org/reading/dual-role-of-ly96-in-shaping-the-mesenchymal-glioblastoma/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://blog.superhyydl.org/reading/dual-role-of-ly96-in-shaping-the-mesenchymal-glioblastoma/</guid><description>&lt;h2 id="一句话亮点"&gt;一句话亮点&lt;/h2&gt;
&lt;p&gt;这项研究发现LY96蛋白在间充质（MES）型胶质母细胞瘤（GBM）中扮演了&amp;quot;双面间谍&amp;quot;：它既是MES型肿瘤干细胞（GSCs）通过自分泌环路维持自身干性和MES身份的&amp;quot;燃料&amp;quot;，又是通过旁分泌方式将肿瘤相关巨噬细胞（TAMs）改造成MES样促癌状态的&amp;quot;信号弹&amp;quot;。&lt;/p&gt;
&lt;h2 id="背景痛点"&gt;背景/痛点&lt;/h2&gt;
&lt;p&gt;GBM是颅内最常见的原发恶性肿瘤，其中MES亚型预后最差，并且对现有治疗抵抗最顽固。以往的测序研究发现MES亚型肿瘤中巨噬细胞浸润特别多，肿瘤细胞和巨噬细胞都呈现出一种MES样的转录组特征。这提示两者之间可能存在双向的&amp;quot;对话&amp;quot;，但具体是谁先发出的信号、通过什么分子实现，一直不清楚。&lt;/p&gt;
&lt;p&gt;LY96（也叫MD-2）以前被熟知的身份是TLR4受体复合物的共受体，在天然免疫识别细菌LPS中至关重要。但在GBM里，尤其是MES亚型里，它到底起什么作用？这恰恰是本文要解决的问题。&lt;/p&gt;
&lt;h2 id="推理链分步拆解"&gt;推理链分步拆解&lt;/h2&gt;
&lt;h3 id="step-1先锁定嫌疑分子ly96凭什么值得看"&gt;Step 1：先锁定&amp;quot;嫌疑分子&amp;quot;——LY96凭什么值得看？&lt;/h3&gt;
&lt;p&gt;作者一开始的思路很直接：既然MES GBM最凶险，那一定是MES型肿瘤干细胞（GSCs）在搞鬼。他们想找到一个由MES GSCs高表达、能分泌出去、且跟患者不良预后挂钩的蛋白。&lt;/p&gt;
&lt;p&gt;于是他们搞了一套多组学筛选：把TCGA的GBM肿瘤组织和正常脑组织做对比，同时联合GSC细胞系的蛋白质组数据和RNA测序数据，层层过滤。筛选条件包括：①在MES型肿瘤和MES GSCs中均高表达；②是分泌蛋白；③高表达与TCGA患者较差生存相关；④表达水平与MES特征评分正相关。&lt;/p&gt;
&lt;p&gt;最后排在榜首的是LY96。@方法论点评：这是一个典型的&amp;quot;表型驱动+多组学锁靶&amp;quot;策略。好处是层层叠加，假阳性率低；代价是可能漏掉表达不那么&amp;quot;壮观&amp;quot;但功能重要的分子。&lt;/p&gt;
&lt;p&gt;&lt;img alt="Fig. 1：MES GSC-specific LY96 secretion is associated with mesenchymal GBM microenvironment remodeling A, The UMAP plot of GBM samples annotated by major cell types in HRA004899 GBM scRNA-seq dataset (n = 7). B, Bar plots showing the distribution of transcriptional states among tumor cells in HRA004899 GBM scRNA-seq dataset (n = 7). C, Violin plots comparing MES signature scores in TAMs from GBM tumors with high versus low MES tumor cell content in HRA004899 GBM scRNA-seq dataset (n = 7). D, Schematic of the multi-omics screening workflow used to identify key secreted proteins enriched in MES GSCs. E, Correlation between LY96 expression and MES signature scores across GBM transcriptomic datasets. F, Bubble plot showing normalized LY96 expression across tumor cell states identified in GBM single-cell RNA-seq data. G–H, Quantitative RT-PCR analysis of LY96 mRNA levels in GBM vs. normal brain tissues (G) and in NSCs vs. GSCs (H). Data are shown as mean ± SD and analyzed by unpaired t-test. P &amp;lt; 0.05, P &amp;lt; 0.01. I–J, Immunoblot analysis of LY96 protein levels in GBM vs. normal brain tissue (I) and in NSCs vs. GSCs (J). K, Immunofluorescent staining(left) of LY96 (green) and CD44 (red) in MES GSCs (839, 2907) and non-MES GSCs (3094, RKI). And quantification of the intensity of immunofluorescence signals of LY96(right).Scale bar, 50 μm L, Immunofluorescence of GBM patient specimens showing LY96+ cells within the SOX2+ tumor cell population. Scale bar, 10 μm. (For interpretation of the ref\u00ad erences to colour in this figure legend, the reader is referred to the Web version of this article.)" loading="lazy" src="https://blog.superhyydl.org/images/reading/dual-role-of-ly96-in-shaping-the-mesenchymal-glioblastoma/figure-01.png"&gt;&lt;/p&gt;</description></item></channel></rss>