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利用大数据探索阿尔茨海默病的空间蛋白组
阿尔茨海默病是一种遗传性和散发性的神经退行性疾病,导致中晚年认知能力下降,特征为β-淀粉样蛋白斑块和 tau蛋白 缠结。由于治疗选择有限,新的研究策略至关重要。Cell DIVE 多重成像解决方案可以对阿尔茨海默病脑组织进行研究,揭示,可能新的研究方向。这里我们展示了 Cell DIVE 多重成像仪的图像查看器,用户能够直接在自己的浏览器中访问完整的阿尔茨海默病多重数据集。
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Dive into Pancreatic Cancer Research with Big Data
Pancreatic cancer, with a mortality rate near 40%, is challenging to treat due to its proximity to major organs. This story explores the complex biology of pancreatic ductal adenocarcinoma (PDAC),…
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Uncover the Hidden Complexity of Colon Cancer with Big Data
Colorectal cancer poses a significant health burden. While surgery is effective initially, some patients develop recurrent secondary disease with poor prognosis, necessitating advanced therapies like…
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Mapping Tumor Immune Landscape with AI-Powered Spatial Proteomics
Spatial mapping of untreated tumors provides an overview of the tumor immune architecture, useful for understanding therapeutic responses. Immunocompetent murine models are essential for identifying…
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Spatial Analysis of Neuroimmune Interactions in Alzheimer’s Disease
Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by neurofibrillary tangles, β-amyloid plaques, and neuroinflammation. These dysfunctions trigger or are exacerbated by…
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A Guide to Spatial Biology
What is spatial biology, and how can researchers leverage its tools to meet the growing demands of biological questions in the post-omics era? This article provides a brief overview of spatial biology…
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使用空间多重化探测人类阿尔茨海默病皮层切片
阿尔茨海默病(AD)是最常见的神经退行性疾病,其特征是认知功能的逐渐下降。对 AD 大脑的空间分析可能揭示细胞关系,从而促进对疾病病因的更好理解。本研究捕捉了 AD 皮层组织成分的全球概述,并强调了 Cell DIVE 成像的简化工作流程,从数据采集到使用 Aivia 软件的基于人工智能的分析,最终实现更快的洞察。
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肿瘤空间微环境的元癌症分析
研究 TME中肿瘤、基质和免疫细胞之间的相互作用需要采用超多重免疫荧光成像方法。在这里,我们分析了一组Cell Signaling Technology(CST®)抗体,这些抗体针对肺癌、结肠癌和胰腺癌等癌症的标志物。通过Cell DIVE成像和Aivia中的聚类分析,我们确定了TME中的空间相互作用,包括组织特异性和共有的相互作用。