| A Robust Mammary Organoid System to Model Lactation and Involution-like Processes
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Author:
Date:
2021-04-20
[Abstract] The mammary gland is a highly dynamic tissue that changes throughout reproductive life, including growth during puberty and repetitive cycles of pregnancy and involution. Mammary gland tumors represent the most common cancer diagnosed in women worldwide. Studying the regulatory mechanisms of mammary gland development is essential for understanding how dysregulation can lead to breast cancer initiation and progression. Three-dimensional (3D) mammary organoids offer many exciting possibilities for the study of tissue development and breast cancer. In the present protocol derived from Sumbal et al., we describe a straightforward 3D organoid system for the study of lactation and involution ex vivo. We use primary and passaged mouse mammary organoids stimulated with fibroblast growth factor 2 ...
[摘要]
[摘要]乳腺是一种高度动态的组织，在整个生殖生活中都会发生变化，包括青春期的生长以及怀孕和进化的重复周期。乳腺肿瘤诊断代表在世界女性最常见的癌症宽。研究的监管机制乳腺的发育是至关重要的理解荷兰国际集团d如何YS调节可导致乳腺癌的发生和发展。三维（3D）乳腺组织体提供了许多令人激动的可能性的研究的组织发育和乳腺癌。在第E存在衍生自协议Sumbal等人，我们描述一个简单的3D类器官系统的研究的泌乳和复古体外。我们使用成纤维细胞生长因子2 （FGF2）和催乳素刺激的原代和传代小鼠乳腺类器官来模拟小鼠乳腺泌乳和内卷过程的三个周期。这种3D模型类器官代表一个有价值的工具来研究后期产后乳腺的发育和乳腺癌，尤其是产后-相关性乳腺癌。
图形摘要：
乳腺类器官的分离和培养程序
[背景技术]的Th e是乳腺的主要功能是提供营养吨经由牛奶产量Ò新生儿。牛逼乳腺他的发展是主要发生在出生后，由几个因素，包括激素和生长因子调控的一个高度动态的过程（Brisken和拉贾拉姆，2006;斯特恩利希特，2006年）。在青春期，激素和生长因子调节基本的胚胎导管树的导管形态发生（Brisken and ...
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| Micro-chromatin Immunoprecipitation (μChIP) Protocol for Real-time PCR Analysis of a Limited Amount of Cells
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Author:
Date:
2016-06-20
[Abstract] Chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) is an important strategy to study gene regulation. When availability of cells is limited, however, it can be useful to focus on specific genes to investigate in depth the role of transcription factors or histone marks. Unfortunately, performing ChIP experiments to study transcription factors’ binding to DNA can be difficult when biological material is restricted. This protocol describes a robust method to perform μChIP for over-expressed or endogenous transcription factors using ~100,000 cells per ChIP experiment (Masserdotti et al., 2015). We also describe optimization steps, which we think are critical for this protocol to work and which can be used to further reduce the number of cells.
[摘要] 染色质免疫沉淀后深层测序（ChIP-Seq）是研究基因调控的重要策略。 然而，当细胞的可用性有限时，可能有用的是专注于特定的基因深入研究转录因子或组蛋白标记的作用。 不幸的是，当生物材料受到限制时，进行ChIP实验以研究转录因子与DNA的结合可能是困难的。 该方案描述了使用约100,000个细胞/ChIP实验对过表达或内源性转录因子进行μChIP的稳健方法（Masserdotti等人，2015）。 我们还描述了优化步骤，我们认为这是协议工作的关键，可以用于进一步减少单元格的数量。
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