Department of Human Genetics, University of Chicago, 920 E 58th St Room 515, Chicago, IL, 60637, USA.
Department of Pediatrics, Center for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.
Sci Rep. 2017 May 26;7(1):2451. doi: 10.1038/s41598-017-02547-w.
ATAC-seq is a high-throughput sequencing technique that identifies open chromatin. Depending on the cell type, ATAC-seq samples may contain ~20-80% of mitochondrial sequencing reads. As the regions of open chromatin of interest are usually located in the nuclear genome, mitochondrial reads are typically discarded from the analysis. We tested two approaches to decrease wasted sequencing in ATAC-seq libraries generated from lymphoblastoid cell lines: targeted cleavage of mitochondrial DNA fragments using CRISPR technology and removal of detergent from the cell lysis buffer. We analyzed the effects of these treatments on the number of usable (unique, non-mitochondrial) reads and the number and quality of peaks called, including peaks identified in enhancers and transcription start sites. Both treatments resulted in considerable reduction of mitochondrial reads (1.7 and 3-fold, respectively). The removal of detergent, however, resulted in increased background and fewer peaks. The highest number of peaks and highest quality data was obtained by preparing samples with the original ATAC-seq protocol (using detergent) and treating them with CRISPR. This strategy reduced the amount of sequencing required to call a high number of peaks, which could lead to cost reduction when performing ATAC-seq on large numbers of samples and in cell types that contain a large amount of mitochondria.
ATAC-seq 是一种高通量测序技术,可用于鉴定开放染色质。根据细胞类型的不同,ATAC-seq 样本中可能包含约 20-80%的线粒体测序reads。由于感兴趣的开放染色质区域通常位于核基因组中,因此通常会从分析中丢弃线粒体 reads。我们测试了两种方法来减少来自淋巴母细胞系的 ATAC-seq 文库中的浪费测序:使用 CRISPR 技术靶向切割线粒体 DNA 片段和从细胞裂解缓冲液中去除去污剂。我们分析了这些处理方法对可用(唯一的、非线粒体的)reads 数量以及调用的峰的数量和质量的影响,包括在增强子和转录起始位点中识别的峰。这两种处理方法都导致线粒体 reads 的显著减少(分别减少 1.7 倍和 3 倍)。然而,去污剂的去除导致背景增加和峰减少。通过使用原始 ATAC-seq 方案(使用去污剂)制备样品并使用 CRISPR 进行处理,可获得最多的峰和最高质量的数据。这种策略减少了调用大量峰所需的测序量,在对大量样本和含有大量线粒体的细胞类型进行 ATAC-seq 时,可以降低成本。