优化的Repli-seq:通过下一代测序改进DNA复制时间分析。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-12-01 Epub Date: 2022-07-04 DOI:10.1007/s10577-022-09703-7
Juan Carlos Rivera-Mulia, Claudia Trevilla-Garcia, Santiago Martinez-Cifuentes
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引用次数: 0

摘要

人类基因组被分成功能单元,在s期的特定时间复制。这种时间程序被称为复制时间(RT),它与基因组的空间组织和转录活性相协调。RT也是细胞类型特异性的,在发育过程中受到动态调节,并且在多种疾病中观察到RT的改变。因此,RT的精确测量对于理解RT在基因功能调控中的作用至关重要。存在不同的分析RT程序的方法;然而,传统的方法需要数千个细胞作为输入,这使得它无法适用于细胞数量有限的样本,例如来自疾病患者或早期发育胚胎的样本。虽然单细胞RT分析已经发展起来,但这些方法的通量低,需要生成大量文库,增加测序成本,并且产生低分辨率的数据。在这里,我们开发了一种改进的方法来测量RT全基因组,从而能够对低输入样本进行高分辨率分析。该方法将细胞直接分选到裂解缓冲液中,并在单管中进行DNA片段和文库制备,从而提高了产量,提高了质量,并降低了成本。我们还进行了系统的数据处理分析,为RT测量提供标准化参数。这种优化的方法有利于RT分析,并将使其应用于广泛的研究RT在基因表达、核结构和疾病中的作用。
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Optimized Repli-seq: improved DNA replication timing analysis by next-generation sequencing.

The human genome is divided into functional units that replicate at specific times during S-phase. This temporal program is known as replication timing (RT) and is coordinated with the spatial organization of the genome and transcriptional activity. RT is also cell type-specific, dynamically regulated during development, and alterations in RT are observed in multiple diseases. Thus, the precise measure of RT is critical to understand the role of RT in gene function regulation. Distinct methods for assaying the RT program exist; however, conventional methods require thousands of cells as input, prohibiting its applicability to samples with limited cell numbers such as those from disease patients or from early developing embryos. Although single-cell RT analyses have been developed, these methods are low throughput, require generation of numerous libraries, increased sequencing costs, and produce low resolution data. Here, we developed an improved method to measure RT genome-wide that enables high-resolution analysis of low input samples. This method incorporates direct cell sorting into lysis buffer, as well as DNA fragmentation and library preparation in a single tube, resulting in higher yields, increased quality, and reproducibility with decreased costs. We also performed a systematic data processing analysis to provide standardized parameters for RT measurement. This optimized method facilitates RT analysis and will enable its application to a broad range of studies investigating the role of RT in gene expression, nuclear architecture, and disease.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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