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Systematic evaluation of RNA-Seq preparation protocol performance.RNA-Seq 准备方案性能的系统评估。
BMC Genomics. 2019 Jul 11;20(1):571. doi: 10.1186/s12864-019-5953-1.
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The Heterochromatin Landscape in Migrating Cells and the Importance of H3K27me3 for Associated Transcriptome Alterations.迁移细胞中的异染色质景观以及H3K27me3对相关转录组改变的重要性。
Cells. 2018 Nov 9;7(11):205. doi: 10.3390/cells7110205.
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GENCODE reference annotation for the human and mouse genomes.GENCODE 人类和小鼠基因组参考注释。
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Genomic and Proteomic Resolution of Heterochromatin and Its Restriction of Alternate Fate Genes.基因组和蛋白质组解析异染色质及其对替代命运基因的限制。
Mol Cell. 2017 Dec 21;68(6):1023-1037.e15. doi: 10.1016/j.molcel.2017.11.030.
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A comparative study of ChIP-seq sequencing library preparation methods.染色质免疫沉淀测序文库制备方法的比较研究。
BMC Genomics. 2016 Oct 21;17(1):816. doi: 10.1186/s12864-016-3135-y.
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Recent advances in ChIP-seq analysis: from quality management to whole-genome annotation.染色质免疫沉淀测序(ChIP-seq)分析的最新进展:从质量管理到全基因组注释
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Histone H3 Lysine 27 demethylases Jmjd3 and Utx are required for T-cell differentiation.组蛋白H3赖氨酸27去甲基化酶Jmjd3和Utx是T细胞分化所必需的。
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The contribution of cohesin-SA1 to gene expression and chromatin architecture in two murine tissues.黏连蛋白-SA1对两种小鼠组织中基因表达和染色质结构的作用。
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商业 ChIP-Seq 文库制备试剂盒在不同蛋白靶类上的性能表现存在差异。

Commercial ChIP-Seq Library Preparation Kits Performed Differently for Different Classes of Protein Targets.

机构信息

Department of Epigenetics and Molecular Carcinogenesis The University of Texas MD Anderson Cancer Center Science ParkSmithvilleTexas78957 USA.

Present Address: College of Biology Hunan University Changsha410082 China.

出版信息

J Biomol Tech. 2022 Nov 14;33(3). doi: 10.7171/3fc1f5fe.7910785e. eCollection 2022 Oct 15.

DOI:10.7171/3fc1f5fe.7910785e
PMID:36910579
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10001930/
Abstract

BACKGROUND

Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-Seq) is a powerful method commonly used to study global protein-DNA interactions including both transcription factors and histone modifications. We have found that the choice of ChIP-Seq library preparation protocol plays an important role in overall ChIP-Seq data quality. However, very few studies have compared ChIP-Seq libraries prepared by different protocols using multiple targets and a broad range of input DNA levels.

RESULTS

In this study, we evaluated the performance of 4 ChIP-Seq library preparation protocols (New England Biolabs [NEB] NEBNext Ultra II, Roche KAPA HyperPrep, Diagenode MicroPlex, and Bioo [now PerkinElmer] NEXTflex) on 3 target proteins, chosen to represent the 3 typical signal enrichment patterns in ChIP-Seq experiments: sharp peaks (H3K4me3), broad domains (H3K27me3), and punctate peaks with a protein binding motif (CTCF). We also tested a broad range of different input DNA levels from 0.10 to 10 ng for H3K4me3 and H3K27me3 experiments.

CONCLUSIONS

Our results suggest that the NEB protocol may be better for preparing H3K4me3 (and potentially other histone modifications with sharp peak enrichment) libraries; the Bioo protocol may be better for preparing H3K27me3 (and potentially other histone modifications with broad domain enrichment) libraries, and the Diagenode protocol may be better for preparing CTCF (and potentially other transcription factors with well-defined binding motifs) libraries.  For ChIP-Seq experiments using novel targets without a known signal enrichment pattern, the NEB protocol might be the best choice, as it performed well for each of the 3 targets we tested across a wide array of input DNA levels.

摘要

背景

染色质免疫沉淀结合高通量测序(ChIP-Seq)是一种常用的研究方法,用于研究包括转录因子和组蛋白修饰在内的全局蛋白质-DNA 相互作用。我们发现,ChIP-Seq 文库制备方案的选择对整体 ChIP-Seq 数据质量起着重要作用。然而,很少有研究比较过使用多种靶标和广泛的输入 DNA 水平,通过不同的方案制备 ChIP-Seq 文库。

结果

在这项研究中,我们评估了 4 种 ChIP-Seq 文库制备方案(New England Biolabs [NEB] NEBNext Ultra II、Roche KAPA HyperPrep、Diagenode MicroPlex 和 Bioo [现为 PerkinElmer] NEXTflex)在 3 种靶标蛋白上的性能,这 3 种靶标蛋白分别代表了 ChIP-Seq 实验中 3 种典型的信号富集模式:尖锐峰(H3K4me3)、宽域(H3K27me3)和具有蛋白结合基序的点状峰(CTCF)。我们还测试了 H3K4me3 和 H3K27me3 实验中从 0.10 到 10ng 的广泛不同的输入 DNA 水平。

结论

我们的结果表明,NEB 方案可能更适合制备 H3K4me3(和可能具有尖锐峰富集的其他组蛋白修饰)文库;Bioo 方案可能更适合制备 H3K27me3(和可能具有宽域富集的其他组蛋白修饰)文库,而 Diagenode 方案可能更适合制备 CTCF(和可能具有明确定义的结合基序的其他转录因子)文库。对于使用新型靶标且没有已知信号富集模式的 ChIP-Seq 实验,NEB 方案可能是最佳选择,因为它在我们测试的 3 种靶标中,在广泛的输入 DNA 水平范围内表现良好。