聊聊Sci
淼淼Elva聊聊Science和Nature！
| Publishes | Daily | Episodes | 765 | Founded | 10 months ago |
|---|---|---|---|---|---|
| Language |  Vietnamese | Number of Listeners | Category | Science |
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Celcomen 是一种基于生成式图神经网络的创新计算框架，旨在从空间转录组数据中解离细胞内与细胞间的基因调控程序。该研究利用数学上的因果可解释性，克服了以往模型在处理复杂组织交互时的“黑箱”局限。通过在人类胶质母细胞瘤、胎儿脾脏及小鼠肺癌等临床样本中的应用，该工具证明了其在模拟基因敲除和组织扰动方面的卓越准确性。它不仅能预测实验难以获取的反事实空间状态，还为理解疾病进展和筛选治疗方案提供了精密的数学保障。这一突破性进展为构建虚拟组织模型奠定了基础，助力科研人员深入洞察单细胞空间维度的组织响应机... more
这项研究介绍了 X-Atlas/Pisces，这是目前全球规模最大的全基因组单细胞扰动数据集，包含 2560万个转录组数据，涵盖了 16 种不同的生物背景。基于这一海量资源，作者开发了名为 X-Cell 的扩散语言模型，专门用于预测基因受扰动后的细胞反应。该模型通过迭代扩散过程精细化预测结果，并利用多模态生物先验知识（如蛋白质模型和相互作用网络）进行跨注意力引导。研究团队将模型扩展至 49 亿参数的 X-Cell-Ultra，首次证明扰动预测遵循类似于大语言模型的幂律缩放法则。实验表明，X-Ce... more
这项研究揭示了控制小胶质细胞和组织驻留巨噬细胞发育的独特遗传机制。研究发现，虽然转录抑制因子 Zeb2 对所有巨噬细胞的形成都至关重要，但不同发育阶段的细胞依赖不同的增强子来驱动其表达。在原始造血过程中，转录因子 Maf 和 Jun 共同作用，独立于特定的 -165 kb 增强子来激活 Zeb2，从而推动小胶质细胞的产生。相比之下，来自定型造血（如成年骨髓）的单核细胞和巨噬细胞则必须依赖该增强子才能发育。实验表明，缺乏 Maf 的胚胎会出现严重的小胶质细胞发育缺陷。这一发现明确了区分大脑小胶质细... more
这篇研究通过建立原代人类皮层细胞的体外培养系统，结合单细胞CRISPRi（干扰）筛选技术，系统地解析了调控神经发生的基因网络。研究人员重点考察了44个转录因子对径向胶质细胞分化的影响，发现了如ZNF219等调控神经分化的新因子，并揭示了NR2E1和ARX在控制兴奋性与抑制性神经元比例及发育节奏中的对立作用。通过整合谱系追踪技术，该研究证实了转录因子的扰动能改变单个祖细胞的命运走向与成熟速度。此外，实验识别出一系列与神经精神疾病（如精神分裂症）相关的关键效应基因，揭示了致病基因在发育调控网络中的汇... more
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- 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
China5 months ago - AI生成播客
选题挺好，真人聊就好了
Apple Podcasts1Yuantai SunChina7 months ago
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Apple Podcasts | #41 | China/Science |
Apple Podcasts | #163 |  Hong Kong/Science |
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| Listeners per Episode | Gender Skew | Location | |||
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