聊聊Sci
淼淼Elva聊聊Science和Nature！
| Publishes | Daily | Episodes | 302 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Language | Norwegian | Category | Science | ||
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Latest Episodes
这篇评论探讨了癌前病变组织中细胞衰老的复杂作用，指出它既是最初的肿瘤抑制屏障，也会转变为促进肿瘤发展的因素。这种向有害状态的转变，主要是通过衰老相关分泌表型（SASP）驱动的，该表型持续重塑局部癌前组织微环境（PreTME），从而有利于肿瘤发生。作者们超越了传统的以细胞上皮为中心的视角，深入探讨了间质成纤维细胞和免疫细胞中的衰老如何一致地展现促肿瘤的破坏性效应。为阻止恶性进展，文章讨论了精确干预策略，包括清除衰老细胞的药物（衰老溶解剂）或调节SASP的药物（衰老拟态剂），以及饮食和运动等生活方式... more
这一综合性研究利用跨越15种癌症的单细胞RNA测序和高分辨率空间成像技术，深入探究了癌症相关成纤维细胞（CAFs）的异质性。研究人员意外地确定了两种截然不同的抗原呈递型CAFs（apCAFs）群体：与间皮细胞相关的M-apCAFs，以及与纤维细胞相关的F-apCAFs。空间分析显示，M-apCAFs定位在癌细胞附近，而F-apCAFs则主要存在于淋巴细胞富集的免疫活性区域。至关重要的是，这两种apCAF亚型都是分泌磷蛋白1（SPP1）的主要生产者，该蛋白与肿瘤恶化和治疗抵抗密切相关。在腹膜转移和... more
这份研究文章介绍了一种名为选择基因驱动（selection gene drives）的新型癌症疗法，旨在主动对抗肿瘤对靶向抗癌药物产生的耐药性。该系统通过在癌细胞中引入一个双开关遗传回路，将可诱导的适应性优势与共享的适应性成本相结合，从而重新规划肿瘤的进化轨迹。研究人员利用随机模型来确定最佳设计标准和治疗方案，并在体外实验中构建了原型，证明了该系统能够消除多种形式的遗传耐药性。最终，通过在小鼠实体瘤模型中进行实验验证了这种模型指导的开关激活方法能够有效靶向并清除预先存在的耐药细胞，提供了一种以进... more
该文献探讨了准确评估单细胞生物学研究中使用的嵌入模型的挑战。为证明现有评估标准（如scIB）的局限性，研究人员设计了一个名为Islander的模型，该模型在现有指标上得分最高，但却产生了扭曲生物结构的“孤岛”状嵌入。针对这一不足，文章提出了一种新的互补评估指标，称为scGraph，旨在标记和纠正此类失真。scGraph通过评估跨批次数据中细胞相似性图谱的一致性来运作，重点是确保更广泛的生物学结构和连续的细胞关系得到保留。该研究强调，scGraph能够检测到现有指标（scIB）可能忽略的生物学结构... more
Reviews
- 我最喜欢的播客之一，谢谢淼淼Elva
One of my favorite podcasts, thanks, 淼淼Elva
Apple Podcasts5TylerZou
Chinaa month ago - AI生成播客
选题挺好，真人聊就好了
Apple Podcasts1Yuantai SunChina2 months ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #33 | China/Science |
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Listeners, social reach, demographics and more for this podcast.
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