Going low to reach high: Small‐scale ChIP‐seq maps new terrain

IF 7.9 Q1 Medicine
Madeleine Fosslie, Adeel Manaf, Mads Lerdrup, K. Hansen, G. Gilfillan, J. Dahl
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引用次数: 6

Abstract

Chromatin immunoprecipitation (ChIP) enables mapping of specific histone modifications or chromatin‐associated factors in the genome and represents a powerful tool in the study of chromatin and genome regulation. Importantly, recent technological advances that couple ChIP with whole‐genome high‐throughput sequencing (ChIP‐seq) now allow the mapping of chromatin factors throughout the genome. However, the requirement for large amounts of ChIP‐seq input material has long made it challenging to assess chromatin profiles of cell types only available in limited numbers. For many cell types, it is not feasible to reach high numbers when collecting them as homogeneous cell populations in vivo. Nonetheless, it is an advantage to work with pure cell populations to reach robust biological conclusions. Here, we review (a) how ChIP protocols have been scaled down for use with as little as a few hundred cells; (b) which considerations to be aware of when preparing small‐scale ChIP‐seq and analyzing data; and (c) the potential of small‐scale ChIP‐seq datasets for elucidating chromatin dynamics in various biological systems, including some examples such as oocyte maturation and preimplantation embryo development.
从低到高:小尺度ChIP - seq绘制新的地形
染色质免疫沉淀(ChIP)能够在基因组中定位特定的组蛋白修饰或染色质相关因子,是研究染色质和基因组调控的有力工具。重要的是,最近的技术进步将ChIP与全基因组高通量测序(ChIP - seq)结合起来,现在可以在整个基因组中绘制染色质因子。然而,对大量ChIP‐seq输入材料的需求长期以来使得仅在有限数量的细胞类型中评估染色质谱具有挑战性。对于许多细胞类型,在体内收集它们作为同质细胞群时不可能达到高数量。尽管如此,使用纯细胞群来得出可靠的生物学结论是一个优势。在这里,我们回顾了(a) ChIP协议如何缩小到只有几百个细胞的使用;(b)在准备小规模ChIP - seq和分析数据时需要注意哪些事项;(c)小型ChIP - seq数据集在阐明各种生物系统中染色质动力学的潜力,包括一些例子,如卵母细胞成熟和胚胎着床前发育。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
18.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal Name:Wiley Interdisciplinary Reviews-Systems Biology and Medicine Focus: Strong interdisciplinary focus Serves as an encyclopedic reference for systems biology research Conceptual Framework: Systems biology asserts the study of organisms as hierarchical systems or networks Individual biological components interact in complex ways within these systems Article Coverage: Discusses biology, methods, and models Spans systems from a few molecules to whole species Topical Coverage: Developmental Biology Physiology Biological Mechanisms Models of Systems, Properties, and Processes Laboratory Methods and Technologies Translational, Genomic, and Systems Medicine
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